2019 Kenya Population and Housing Census, Volume IV: Distribution of Population by Socio-Economic Characteristics, Kenya National Bureau of Statistics, 2019. Table 2.15 (printed pages 300 to 309) gives households’ main source of drinking water by county and sub-county. Downloaded from https://www.knbs.or.ke/wp-content/uploads/2023/09/2019-Kenya-population-and-Housing-Census-Volume-4-Distribution-of-Population-by-Socio-Economic-Characteristics.pdf

Contributed as a source for Pwani Decentralised Solar Desalination Network.

Contents of the file

Page 1 (read by a model from the page image; unverified)

REPUBLIC OF KENYA

2019 KENYA POPULATION AND HOUSING CENSUS

Volume IV: Distribution of Population by Socio-Economic Characteristics

December 2019

KNBS KENYA NATIONAL BUREAU OF STATISTICS Keeping you informed

Counting Our People for Sustainable Development and Devolution of Services

2019 Population & Housing Census Jitokeze Uhesabiwe

Page 2

2019 Kenya Population and Housing Census: Volume IV ii

Page 3

2019 Kenya Population and Housing Census: Volume IV VOLUME IV DISTRIBUTION OF POPULATION BY SOCIO-ECONOMIC CHARACTERISTICS iii

Page 4

2019 Kenya Population and Housing Census: Volume IV Kenya National Bureau of Statistics P.O Box 30266-00100 Nairobi Tel. +254-20-3317583/6/8 E-mail: [email protected] or [email protected] Website: http://www.knbs.or.ke ISBN: 978-9966-102-11-9 All Rights Reserved Copyright©2019 Extracts may be published if the source is duly acknowledged iv

Page 5

2019 Kenya Population and Housing Census: Volume IV Kenya Counties v

Page 6

2019 Kenya Population and Housing Census: Volume IV ABOUT KNBS The Kenya National Bureau of Statistics (KNBS) is the principal agency of the Government for collecting, analysing and disseminating statistical data, and the custodian of official statistical information. The Bureau is also responsible for the co- ordination of the National Statistical System (NSS) in the country. The functions of KNBS as defined in the Statistics (Amendment) Act, 2019 are: • Planning, authorising, coordinating and supervising all official statistical programmes undertaken within the NSS; • Establishing standards and ensuring the use of best practices and methods in the production and dissemination of statistical information across the NSS; • Collecting, compiling, analysing, abstracting and disseminating statistical information; • Conducting the Population and Housing Census every ten years, and such other censuses and surveys as the Board may determine; • Maintaining a comprehensive and reliable national socio-economic database; • Developing and maintaining sampling frames of the Bureau; • Collaborating with and assisting the county governments or any institutions in the production of official statistics; • Providing technical advice on statistics to other state entities; • Promoting co-ordination among producers, users and suppliers of official statistics by forming appropriate sector committees; and • Designating statistics produced by national statistical system as official statistics on being satisfied that the necessary criteria have been followed. The KNBS has an elaborate infrastructure for data collection across the country. This includes, a County Statistical Office in each of the 47 counties, two sampling frames for implementation of censuses and surveys and various databases for socio-economic statistical information. The Bureau collects various statistical information on monthly, quarterly, semi-annually and annual basis. Ad hoc surveys and studies are also carried out to gather information on specific indicators. Some of the statistical products of the Bureau include; Consumer Price Index (CPI), Leading Economic Indicators report, Quarterly Gross Domestic Product (GDP), Quarterly Producer Price Index (PPI), Quarterly Balance of Payment, Annual Economic Survey Report and Annual Statistical Abstract. The Bureau also provides statistical information to regional and international organisations. The KNBS maintains various platforms through which products and statistical information are disseminated. The Bureau provides information for monitoring the country’s development agenda as well as internationally agreed initiatives such as Sustainable Development Goals (SDGs). In undertaking its mandate, the Bureau is guided by a Vision, Mission and Core Values. vi

Page 7

2019 Kenya Population and Housing Census: Volume IV Vision “To be a global leader in the provision of quality statistical services” Mission “To provide, manage and promote quality statistical services through utilization of best practices for evidence-based decision making”. Core Values • P-Professionalism: The Bureau will strictly abide by professional considerations, including scientific principles and ethics on methods, standards and procedures for provision of quality statistical services. • I-Integrity: The Bureau will adhere to the principles of good governance to ensure transparency and accountability in undertaking its programmes and activities. • C-Confidentiality: The Bureau will treat all information provided by stakeholders with strict confidentiality and use it exclusively for statistical purposes • C-Customer Focus: The Bureau commits itself to align its programmes to the expectations of its stakeholders and attaining the highest standards in service delivery. • I-Innovation: The Bureau will continuously embrace creativity and innovation for value-addition in its business processes. • T-Teamwork: The Bureau will embrace teamwork in pursuing timely attainment of targeted results at all levels, through coordination and networking. vii

Page 8

2019 Kenya Population and Housing Census: Volume IV FOREWORD The 2019 Kenya Population and Housing Census (KPHC) was the eighth to be conducted in Kenya since 1948 and was conducted from the night of 24th/25th to 31st August2019. It was implemented under the provisions of the Constitution of Kenya, 2010 and the Statistics (Amendment) Act, 2019. It also followed the United Nations Principles and Recommendations for conducting the 2020 round of censuses, including adoption of technology. Indeed, the country leveraged on technology to capture data during cartographic mapping, enumeration and data transmission, making the 2019 KPHC the first paperless census to be conducted in Kenya. The theme for the census was “Counting Our People for Sustainable Development and Devolution of Services”. The theme resonates well with Kenya’s development agenda - Vision 2030 and the Big Four, as well as other regional and international development initiatives including the Sustainable Development Goals (SDGs) and the African Union Agenda 2063. The information contained herein responds to the ever-increasing demand for official statistics and provides benchmark information for other statistical development and infrastructure, particularly for the devolved units of governance. The 2019 KPHC Volume IV Report is the fourth in the series of census publications. It presents the distribution of population by socio-economic characteristics. These are: education; labour participation; housing conditions and amenities; agriculture and livestock; disability; religion and ethnicity; Information and Communication Technology (ICT); and ownership of household assets. Further work is ongoing to produce in-depth analytical thematic reports on the Census. The Bureau is indebted to all the organs of government, the private sector and the public for the overwhelming support and participation in implementing the Census. Special gratitude goes to United Nations Population Fund (UNFPA); United Nations Children’s Fund (UNICEF); United Nations Economic Commission for Africa (UNECA); African Development Bank (AfDB); Statistics Sweden; and Office of National Statistics United Kingdom (ONS-UK) for their support. I also recognise the census personnel who played a key role in the overall success of the 2019 KPHC. Stakeholders are encouraged to utilize the information in this report effectively. Zachary Mwangi Director General, KNBS viii

| The 2019 Kenya Population and Housing Census (KPHC) was the eighth to be conducted |

|---|

| in Kenya since 1948 and was conducted from the night of 24th/25th to 31st August2019. |

| It was implemented under the provisions of the Constitution of Kenya, 2010 and the |

| Statistics (Amendment) Act, 2019. It also followed the United Nations Principles and |

| Recommendations for conducting the 2020 round of censuses, including adoption of |

| technology. Indeed, the country leveraged on technology to capture data during |

| cartographic mapping, enumeration and data transmission, making the 2019 KPHC the |

| first paperless census to be conducted in Kenya. |

Page 9

2019 Kenya Population and Housing Census: Volume IV Table of Contents ABOUT KNBS … vi FOREWORD … viii List of Tables … xi ACRONYMS AND ABBREVIATIONS … xiii SYMBOLS AND CONVENTIONS USED … xiii CHAPTER 1: INTRODUCTION … 1 1.1. Background Information … 1 1.2. Objectives of the 2019 Census … 1 1.3. Theme of the 2019 Census … 2 1.4. Implementation of the 2019 Census … 2 1.4.1 Legal Framework … 2 1.4.2 Census Management Structure … 2 1.4.3 Use of Technology … 3 1.4.4 Cartographic Mapping … 3 1.4.5 Census Questionnaires… 3 1.4.6 Pilot and Pre-tests … 4 1.4.7 Publicity and Advocacy … 4 1.4.8 Recruitment and Training … 4 1.4.9 Enumeration … 4 1.4.10 Data Transmission and Storage … 5 1.5. Data Processing … 5 1.6. Quality Assurance … 5 1.7. Definition of Key Concepts … 5 1.8. Constraints and Challenges … 6 1.9. List of Counties and Sub-Counties … 7 CHAPTER 2: CENSUS RESULTS … 10 2.1 Summary Findings … 10 2.1.1 Sub-Locations with No Data… 10 2.1.2 Education … 10 2.1.3 Activity Status … 11 2.1.4 Housing Conditions and Amenities … 11 2.1.5 Agriculture … 12 2.1.6 Disability … 12 2.1.7 Religious and Ethnic Affiliation … 12 2.1.8 Information and Communication Technology (ICT) … 12 ix

Page 10

2019 Kenya Population and Housing Census: Volume IV 2.1.9 Ownership of Household Assets … 13 LIST OF CONTRIBUTORS … 473 APPENDICES: QUESTIONNAIRES … 476 x

Page 11

2019 Kenya Population and Housing Census: Volume IV List of Tables Table 1. 1: Summary of Census Counts in Kenya… 6 Table 2. 1: Sub-locations with no People on the Census Night by Status/Reason… 10 Table2.2: Distribution of Population Aged 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and SubCounty… 14 Table 2.3: Distribution of Population Aged 3 Years and Above Currently Attending School/ Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County… 44 Table 2.4: Distribution of Population Aged 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County… 75 Table 2.5: Distribution of Population Aged 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County… 106 Table 2.6a: Distribution of Population Aged 3 Years and Above by School Attendance Status, Sex and Special Age Groups… 137 Table 2.6b: Distribution of Population Aged 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County… 138 Table 2.7: Distribution of Population Aged 15 years and Above by Sex and Main Training Acquired and Qualified for… 160 Table 2.8a: Distribution of Population Aged 5 Years and above by Activity Status, Sex, County and Sub- County… 162 Table 2.8b: Distribution of Urban Population Aged 5 Years and above by Activity Status, Sex, County and Sub-County… 183 Table 2.8c: Distribution of Rural Population Aged 5 Years and above by Activity Status, Sex, County and Sub-County… 207 Table 2.9a: Distribution of Population Aged 5 years and above by Activity Status, Broad Age Groups and County… 227 Table 2.9b: Distribution of Rural Population Aged 5 years and above by Activity Status, Broad Age Groups and County… 233 Table 2.9c: Distribution of Urban Population Aged 5 years and above by Activity Status, Broad Age Groups and County… 239 Table 2.10: Distribution of Households and Tenure Status of Main Dwelling Unit by Area of Residence, County and Sub-County… 245 Table 2.11a: Distribution of Households Owning the Main Dwelling Unit by Mode of Acquisition, Area of Residence, County and Sub-County… 252 Table 2.11b: Distribution of Households Renting/Provided with their Main Tenure Status of Main Dwelling Unit by Provider, Area of Residence, County and Sub- County… 259 Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County… 265 Table 2.13: Percentage Distribution of Conventional Households by Dominant Wall Material of Main Dwelling Unit, Area of Residence, County and Sub-County… 277 Table 2.14: Percentage Distribution of Conventional Households by Dominant Floor Material of the Main Dwelling Unit, Area of Residence, County and Sub County… 287 Table 2.15: Percentage Distribution of Conventional Households by Main Source of Drinking Water, Area of Residence, County and Sub-County… 300 Table 2.16: Percentage Distribution of Conventional Households by Main Mode of Human Waste Disposal, Area of Residence, County and Sub-County… 310 Table 2.17: Percentage Distribution of Conventional Households by Main Mode of Solid Waste Disposal, Area of Residence, County and Sub-County… 317 Table 2.18: Percentage Distribution of Conventional Households by Main Type of Cooking Fuel, Area of Residence, County and Sub-County… 330 Table 2.19: Percentage Distribution of Conventional Households by Main Type of Lighting Fuel, Area of Residence, County and Sub-County… 337 Table 2.20: Distribution of households practicing Agriculture, Fishing and Irrigation by County and Sub County… 350 Table 2.21: Distribution of Households Growing Permanent Crops by Type and County… 356 Table 2.22: Distribution of Households Growing Other Crops by Type, County and Sub County… 357 Table 2.23: Distribution of Households Rearing Livestock and Fish by County and Sub County… 366 xi

Page 12

2019 Kenya Population and Housing Census: Volume IV Table 2.24: Distribution of Livestock population by type, Fish Ponds and Fish Cages by County and Sub County… 376 Table 2.25: Distribution of area (hectares) of Agricultural land and Farming Households by purpose of production, County and Sub-County… 387 Table 2.26: Distribution of Population aged 5 years and above by Disability Status, Sex1, Area of Residence, County and Sub-County… 394 Table 2.27: Distribution of Persons with Disability by Type of Disability, Sex1, Area of Residence, County and Sub County… 405 Table 2.28: Distribution of Persons with Albinism by Sex1, Area of Residence, County and Sub County… 414 Table 2.29: Population of Street Persons/Outdoor Sleepers by Sex1, Area of Residence and County… 421 Table 2.30: Distribution of Population by Religious Affiliation and County… 322 Table 2.31: Distribution of Population by Ethnicity/Nationality… 423 Table 2.32: Distribution of Population Age 3 years and Above Owning a Mobile Phone by Area of Residence, Sex, County and Sub County… 424 Table 2.33: Distribution of Population Age 3 Years and Above Using Internet and Computer/Laptop/Tablet by Area of Residence, Sex, County and Sub-County… 432 Table 2.34: Distribution of Population age 15 years and above who Searched and Bought Goods and Services Online by Area of Residence, Sex, County and Sub-County… 442 Table 2.35: Distribution of Population Age 3 years and Above who owned and used Selected ICT Equipment and Service by Age, Area of Residence and County… 449 Table 2.36: Percentage Distribution of Conventional Households by Ownership of Selected Household Assets by Area of Residence, County and Sub County… 462 Table 2.37: Births in the Last 12 months* by place of Occurrence and County… 469 Table 2.38: Births in the Last 5 Years* by place of Occurrence and County… 470 Table 2.39: Notified Births in the Last 12 months by County… 471 Table 2.40: Notified Births in the Last 5 Years by County… 472 xii

Page 13

2019 Kenya Population and Housing Census: Volume IV ACRONYMS AND ABBREVIATIONS CCC County Census Committees CSPro Census and Survey Processing system EA Enumeration Area Esri Environmental Systems Research Institute GPS Geographical Positioning System ICT Information and Communication Technology KNBS Kenya National Bureau of Statistics KPHC Kenya Population and Housing Census NGOs Non-Governmental Organisations NSS National Statistical System ODK Open Data Kit SCCCs Sub-County Census Committees SDGs Sustainable Development Goals SPSS Statistical Package for Social Sciences UN United Nations SYMBOLS AND CONVENTIONS USED The following symbols have been used in this publication “ ” Means Nil _ “ .. ” Means Negligible Rounding of Figures: In tables where figures have been rounded to the nearest final digit, there may be an apparent slight discrepancy between the sum of the constituent items and the total as shown. xiii

Page 14

2019 Kenya Population and Housing Census: Volume IV CHAPTER 1: INTRODUCTION 1.1. Background Information The first known population census in Kenya was conducted in 1897 and was basically a headcount. This was followed by the 1948 census that focused on non-natives. A complete census that enumerated 8.6 million persons was conducted in 1962 and was used to set up political and administrative structures. The first post-independence census was undertaken in 1969 and enumerated 10.9 million persons. Since then, the country has conducted decennial Population and Housing Censuses on a de facto basis with the midnight of 24th/25th August as the reference point. The censuses have been implemented in accordance with the United Nations (UN) Principles and Recommendations for conducting population and housing censuses. Table 1.1 presents census results since 1897. Table 1. 1: Summary of Census Counts in Kenya Year Population (millions) 1897 2.5 1948 5.4 1962 8.6 1969 10.9 1979 15.3 1989 21.4 1999 28.7 2009 37.7 2019 47.6 1.2. Objectives of the 2019 Census The main objective of the 2019 KPHC was to collect information on the size, composition, distribution and socio-economic characteristics of the population. The specific objectives were to ascertain the following: ▪ Population size, composition, and spatial distribution; ▪ Levels of fertility, mortality and migration; ▪ Educational attainment; ▪ Household composition; ▪ Rate and pattern of urbanization; ▪ Size and deployment of labour force; ▪ Distribution of persons with disability; 1

Page 15

2019 Kenya Population and Housing Census: Volume IV ▪ Housing conditions and availability of household amenities; and ▪ Agricultural indicators to inform the creation of an agriculture sampling frame This information will be used in planning, budgeting and programming for important services; future policy formulation, resource allocation; creation of administrative and political units; monitoring and evaluation of programmes and projects; research; development of a master household sampling frame; development of geo-spatial database; and benchmark for agricultural census/surveys. 1.3. Theme of the 2019 Census The theme of the census was “Counting Our People for Sustainable Development and Devolution of Services”. This is in response to the demand for statistical information for implementation of Kenya’s development agenda such as the Big Four and Vision 2030, and other global initiatives including the Sustainable Development Goals (SDGs). 1.4. Implementation of the 2019 Census 1.4.1 Legal Framework The 2019 Kenya Population and Housing Census was conducted under the provisions of the Constitution of Kenya, 2010 (Fourth Schedule Part 1 Item 11), the Statistics (Amendment) Act, 2019 and the Statistics (Census of Population) Order, 2018 - Legal Notice No. 205 and the Cabinet Memorandum of May 2017 on the implementation of the 2019 population and housing census process. 1.4.2 Census Management Structure Various committees were established and operationalized at both national and county levels to manage the census process. These committees drew their membership from various stakeholders namely; government departments and agencies, private sector, learning institutions, religious organizations, and Non-Governmental Organisations (NGOs).The National Census Steering Committee spearheaded the implementation process and provided policy direction such as approving all the census guidelines, strategies and mobilization of resources. Coordination of the processes was undertaken by the National Census Coordination Committee. The Technical Working Committee was responsible for all the technical aspects of the census, which included development of the instruments and ensuring adherence to quality assurance guidelines. 2

Page 16

2019 Kenya Population and Housing Census: Volume IV At the county level, the County Census Committees (CCCs) and Sub-County Census Committees (SCCCs) were established to oversee implementation of the 2019 census activities, such as recruitment of personnel, procurement of training venues and logistical arrangements for transport and security at their respective levels. These committees were instrumental in rallying public participation for the census. 1.4.3 Use of Technology Kenya adopted the use of mobile technology to collect data during the 2019 census as recommended by the UN for the 2020 round of censuses. This was the first census in Kenya to use mobile technology in the capture and transmission of data for both cartographic mapping and enumeration. The mobile devices (tablets) used for data collection were assembled by local universities. 1.4.4 Cartographic Mapping The implementation of preparatory activities for the 2019 KPHC started in early 2016 with cartographic mapping exercise. The process involved delineation of the country into small geographical units known as Enumeration Areas (EAs). The EAs were used in determining the number of census personnel required as well as in ensuring total coverage during enumeration. The use of modern technologies in the entire census cartographic mapping was embraced, as per the UN recommendations for countries undertaking the 2020 round of population and housing censuses. Smart phones and tablets embedded with Geographical Positioning System (GPS) were used to pick coordinates for homesteads, households and other points of interest. Satellite imageries and aerial photographs were used to prepare maps for rural and urban areas, respectively. Open Data Kit (ODK), Esri Survey 123 applications were used during field mapping while ArcGIS was used during digitization and map production. Sub-location and EA maps generated based on administrative boundaries, were then uploaded onto mobile devices for use during the enumeration exercise. 1.4.5 Census Questionnaires The census questionnaires and manuals were developed through a consultative process spearheaded by the Technical Working Committee comprising of various stakeholders. A mobile data capture system was designed based on the paper questionnaire. These were uploaded onto the mobile devices for data collection and transmission. Five sets of questionnaires (one main and four short) were developed to cover the conventional population and special population (travellers, outdoor sleepers, individuals in hotels, lodges, schools and, hospitals and emigrants). The main questionnaire had additional questions on crop farming, fishing, aquaculture, registration of births and deaths and e-commerce. A third sex marker for intersex 3

Page 17

2019 Kenya Population and Housing Census: Volume IV was also introduced. Further, a detailed set of questions on disability was included as recommended by the Washington Group. 1.4.6 Pilot and Pre-tests A Pilot Census was conducted in August 2018, a year prior to actual enumeration as per the UN recommendation, followed by two pre-tests undertaken in April and May 2019. This was meant to assess the preparedness for the actual enumeration in terms of logistics, map accuracy, content and flow of questions, data capture application and data transmission. Lessons learnt provided crucial input in the finalization of the tools and implementation strategies. 1.4.7 Publicity and Advocacy Publicity and advocacy campaigns were done in all parts of the country through various channels, including; print media, national and local radio stations, mobile telephony, television stations and road shows. A call/contact centre was established with a toll-free line to respond to queries raised by the field teams and the public. One of the key activities was the launch of the census enumeration countdown by His Excellency the President of the Republic of Kenya, a week prior to census enumeration exercise. 1.4.8 Recruitment and Training Recruitment of census personnel who included 2,467 ICT supervisors, 22,268 content supervisors and 138,572 enumerators was undertaken by the County and Sub-County Census Committees through a competitive process. The training of these personnel was conducted in a cascaded manner from the training of trainers to the training of enumerators. The training for various cadres was conducted for seven days for each cadre. These trainings were sequentially conducted between 14th July and 20th August 2019. 1.4.9 Enumeration The main census enumeration was preceded by EA boundary identification and pre- enumeration listing of households in each EA for two days on 22nd and 23rdAugust 2019. The pre-enumeration listing exercise helped in gauging the expected workload during the seven days of enumeration and also help in monitoring the level of coverage as enumeration progressed. The actual enumeration took place from the night of 24th/25thAugust 2019 and ended on 31st August 2019. A mop-up exercise was conducted on 1stand 4

Page 18

2019 Kenya Population and Housing Census: Volume IV 2ndSeptember 2019. The special population was strictly enumerated on the night of 24th/25th August 2019. The 2019 Census adopted the de facto approach where all persons within the boundary of Kenya were enumerating depending on where they spent (or were found on) the census night. The canvasser method of enumeration, where information for each individual or household is collected and recorded by a trained census official designated to perform the tasks in the assigned area, was used. 1.4.10 Data Transmission and Storage Data was collected by enumerators using mobile devices (tablets) and subsequently transmitted to a central server. The data was encrypted prior to transmission and was backed up in off-site locations. 1.5. Data Processing Editing of the census data was guided by the United Nations Handbook on Population and Housing Census editing. The data was processed using CSPro, Stata and SPSS software. In addition, validation checks were done to ensure that all EAs, aligned to administrative boundaries, were accounted for in the dataset. Outputs were generated based on administrative and geo-political units. 1.6. Quality Assurance Quality assurance was integrated in all phases of the census process. Comprehensive guidelines were developed and shared with census personnel. Field supervision followed a three-tier structure to ensure adequate support, real-time response to emerging issues, and feedback during data collection. In addition, enumeration reporting schedules and control forms were used to facilitate monitoring of activities. Field monitoring teams oversaw technical, logistical and administrative aspects of enumeration in each region. Further, independent observers, drawn from the international community and national statistics offices across Africa monitored and observed the 2019 census enumeration process. 1.7. Definition of Key Concepts Household: Refers to a person or group of persons who reside in the same homestead/compound but not necessarily in the same dwelling unit, have same cooking arrangements, and are answerable to the same household head. Group Quarters: For the purposes of this census, group quarters refer to persons enumerated in collective living quarters such as army barracks and hostels in learning institutions. 5

Page 19

2019 Kenya Population and Housing Census: Volume IV Household Head: This is the most responsible/respected member of the household (as at the census night) who makes key decisions in the household on a day to day basis, and whose authority is recognized by all members of the household. Dwelling Unit: This is a place of abode or residence occupied by one or more households, usually with a private entrance. Enumeration Area (EA): This is a designated area with an average of 100 households, but may vary from 50 to 149 households depending on the population density, terrain, and/or vastness of the area concerned. An EA may be a village, group of villages or part of a village, and is so delineated to be conveniently covered by an enumerator. De Facto Census: One that enumerates all persons depending on where they spend (or are found on) the census night. Age: The number of years/months that a person has lived as at the census reference night Area: The extent of a surface enclosed within a specified boundary, usually expressed in square kilometres. Density: Refers to number of persons per square kilometre, obtained by dividing the enumerated persons by the size of the land area in a given area, expressed in square kilometres. Sex: Refers to the biological condition or characteristics of being male, female or intersex. 1.8. Constraints and Challenges • Boundary disputes in some of the administrative units slowed the pace of mapping. • Poor network connectivity in some areas hampered the real time transmission of data to the central server. 6

Page 20

2019 Kenya Population and Housing Census: Volume IV 1.9. List of Counties and Sub-Counties COUNTY COUNTY NAME SUB-COUNTY SUB-COUNTY COUNTY COUNTY NAME SUB-COUNTY SUB-COUNTY CODE CODE NAME CODE CODE NAME 1 MOMBASA 101 CHANGAMWE 12 MERU 1201 BUURI EAST 1 MOMBASA 102 JOMVU 12 MERU 1202 BUURI WEST 1 MOMBASA 103 KISAUNI 12 MERU 1203 IGEMBE CENTRAL 1 MOMBASA 104 LIKONI 12 MERU 1204 IGEMBE NORTH 1 MOMBASA 105 MVITA 12 MERU 1205 IGEMBE SOUTH 1 MOMBASA 106 NYALI 12 MERU 1206 IMENTI NORTH 2 KWALE 201 KINANGO 12 MERU 1207 IMENTI SOUTH 2 KWALE 202 LUNGA LUNGA 12 MERU 1208 MERU CENTRAL 2 KWALE 203 MATUGA 12 MERU 1209 TIGANIA CENTRAL 2 KWALE 204 MSAMBWENI 12 MERU 1210 TIGANIA EAST 2 KWALE 205 SAMBURU 12 MERU 1211 TIGANIA WEST 3 KILIFI 301 CHONYI 13 THARAKA-NITHI 1301 IGAMBANG’OMBE 3 KILIFI 302 GANZE 13 THARAKA-NITHI 1302 MAARA 3 KILIFI 303 KALOLENI 13 THARAKA-NITHI 1303 MERU SOUTH 3 KILIFI 304 KAUMA 13 THARAKA-NITHI 1304 THARAKA NORTH 3 KILIFI 305 KILIFI NORTH 13 THARAKA-NITHI 1305 THARAKA SOUTH 3 KILIFI 306 KILIFI SOUTH 14 EMBU 1401 EMBU EAST 3 KILIFI 307 MAGARINI 14 EMBU 1402 EMBU NORTH 3 KILIFI 308 MALINDI 14 EMBU 1403 EMBU WEST 3 KILIFI 309 RABAI 14 EMBU 1404 MBEERE SOUTH 4 TANA RIVER 401 TANA DELTA 14 EMBU 1405 MBEERE NORTH 4 TANA RIVER 402 TANA NORTH 15 KITUI 1501 IKUTHA 4 TANA RIVER 403 TANA RIVER 15 KITUI 1502 KATULANI 5 LAMU 501 LAMU EAST 15 KITUI 1503 KISASI 5 LAMU 502 LAMU WEST 15 KITUI 1504 KITUI CENTRAL 6 TAITA/TAVETA 601 MWATATE 15 KITUI 1505 KITUI WEST 6 TAITA/TAVETA 602 TAITA 15 KITUI 1506 KYUSO 6 TAITA/TAVETA 603 TAVETA 15 KITUI 1507 LOWER YATTA 6 TAITA/TAVETA 604 VOI 15 KITUI 1508 MATINYANI 7 GARISSA 701 BALAMBALA 15 KITUI 1509 MIGWANI 7 GARISSA 702 DADAAB 15 KITUI 1510 MUMONI 7 GARISSA 703 FAFI 15 KITUI 1511 MUTITU 7 GARISSA 704 GARISSA 15 KITUI 1512 MUTITU NORTH 7 GARISSA 705 HULUGHO 15 KITUI 1513 MUTOMO 7 GARISSA 706 IJARA 15 KITUI 1514 MWINGI CENTRAL 7 GARISSA 707 LAGDERA 15 KITUI 1515 MWINGI EAST 8 WAJIR 801 BUNA 15 KITUI 1516 NZAMBANI 8 WAJIR 802 ELDAS 15 KITUI 1517 THAGICU 8 WAJIR 803 HABASWEIN 15 KITUI 1518 TSEIKURU 8 WAJIR 804 TARBAJ 16 MACHAKOS 1601 ATHI RIVER 8 WAJIR 805 WAJIR EAST 16 MACHAKOS 1602 KALAMA 8 WAJIR 806 WAJIR NORTH 16 MACHAKOS 1603 KANGUNDO 8 WAJIR 807 WAJIR SOUTH 16 MACHAKOS 1604 KATHIANI 8 WAJIR 808 WAJIR WEST 16 MACHAKOS 1605 MACHAKOS 9 MANDERA 901 MANDERA WEST 16 MACHAKOS 1606 MASINGA 9 MANDERA 902 BANISA 16 MACHAKOS 1607 MATUNGULU 9 MANDERA 903 KOTULO 16 MACHAKOS 1608 MWALA 9 MANDERA 904 LAFEY 16 MACHAKOS 1609 YATTA 9 MANDERA 905 MANDERA CENTRAL 17 MAKUENI 1701 KATHONZWENI 9 MANDERA 906 MANDERA EAST 17 MAKUENI 1702 KIBWEZI 9 MANDERA 907 MANDERA NORTH 17 MAKUENI 1703 KILUNGU 10 MARSABIT 1001 LOIYANGALANI 17 MAKUENI 1704 MAKINDU 10 MARSABIT 1002 MARSABIT CENTRAL 17 MAKUENI 1705 MAKUENI 10 MARSABIT 1003 MARSABIT NORTH 17 MAKUENI 1706 MBOONI EAST 10 MARSABIT 1004 MARSABIT SOUTH 17 MAKUENI 1707 MBOONI WEST 10 MARSABIT 1005 MOYALE 17 MAKUENI 1708 MUKAA 10 MARSABIT 1006 NORTH HORR 17 MAKUENI 1709 NZAUI 10 MARSABIT 1007 SOLOLO 18 NYANDARUA 1801 KINANGOP 11 ISIOLO 1101 GARBATULLA 18 NYANDARUA 1802 NYANDARUA SOUTH 11 ISIOLO 1102 ISIOLO 18 NYANDARUA 1803 MIRANGINE 11 ISIOLO 1103 MERTI 18 NYANDARUA 1804 KIPIPIRI 7

Page 21

2019 Kenya Population and Housing Census: Volume IV COUNTY COUNTY NAME SUB-COUNTY SUB-COUNTY COUNTY COUNTY NAME SUB-COUNTY SUB-COUNTY CODE CODE NAME CODE CODE NAME 18 NYANDARUA 1805 NYANDARUA CENTRAL 28 ELGEYO/MARAKWET 2801 KEIYO NORTH 18 NYANDARUA 1806 NYANDARUA WEST 28 ELGEYO/MARAKWET 2802 KEIYO SOUTH 18 NYANDARUA 1807 NYANDARUA NORTH 28 ELGEYO/MARAKWET 2803 MARAKWET EAST 19 NYERI 1901 TETU 28 ELGEYO/MARAKWET 2804 MARAKWET WEST 19 NYERI 1902 KIENI EAST 29 NANDI 2901 CHESUMEI 19 NYERI 1903 KIENI WEST 29 NANDI 2902 NANDI CENTRAL 19 NYERI 1904 MATHIRA EAST 29 NANDI 2903 NANDI EAST 19 NYERI 1905 MATHIRA WEST 29 NANDI 2904 NANDI NORTH 19 NYERI 1906 NYERI SOUTH 29 NANDI 2905 NANDI SOUTH 19 NYERI 1907 MUKURWE-INI 29 NANDI 2906 TINDERET 19 NYERI 1908 NYERI CENTRAL 30 BARINGO 3001 BARINGO CENTRAL 20 KIRINYAGA 2001 KIRINYAGA CENTRAL 30 BARINGO 3002 BARINGO NORTH 20 KIRINYAGA 2002 KIRINYAGA EAST 30 BARINGO 3003 EAST POKOT 20 KIRINYAGA 2003 KIRINYAGA WEST 30 BARINGO 3004 KOIBATEK 20 KIRINYAGA 2004 MWEA EAST 30 BARINGO 3005 MARIGAT 20 KIRINYAGA 2005 MWEA WEST 30 BARINGO 3006 MOGOTIO 21 MURANG’A 2101 MURANG’A EAST 30 BARINGO 3007 TIATY EAST 21 MURANG’A 2102 KANGEMA 30 BARINGO 3008 LAKE BARINGO 21 MURANG’A 2103 MATHIOYA 31 LAIKIPIA 3101 LAIKIPIA CENTRAL 21 MURANG’A 2104 KAHURO 31 LAIKIPIA 3102 LAIKIPIA EAST 21 MURANG’A 2105 MURANG’A SOUTH 31 LAIKIPIA 3103 LAIKIPIA NORTH 21 MURANG’A 2106 GATANGA 31 LAIKIPIA 3104 LAIKIPIA WEST 21 MURANG’A 2107 KIGUMO 31 LAIKIPIA 3105 NYAHURURU 21 MURANG’A 2108 KANDARA 32 NAKURU 3201 GILGIL 22 KIAMBU 2201 GATUNDU NORTH 32 NAKURU 3202 KURESOI NORTH 22 KIAMBU 2202 GATUNDU SOUTH 32 NAKURU 3203 KURESOI SOUTH 22 KIAMBU 2203 GITHUNGURI 32 NAKURU 3204 MOLO 22 KIAMBU 2204 JUJA 32 NAKURU 3205 NAIVASHA 22 KIAMBU 2205 KABETE 32 NAKURU 3206 NAKURU EAST 22 KIAMBU 2206 KIAMBAA 32 NAKURU 3207 NAKURU NORTH 22 KIAMBU 2207 KIAMBU 32 NAKURU 3208 NAKURU WEST 22 KIAMBU 2208 KIKUYU 32 NAKURU 3209 NJORO 22 KIAMBU 2209 LARI 32 NAKURU 3210 RONGAI 22 KIAMBU 2210 LIMURU 32 NAKURU 3211 SUBUKIA 22 KIAMBU 2211 RUIRU 33 NAROK 3301 NAROK EAST 22 KIAMBU 2212 THIKA EAST 33 NAROK 3302 NAROK NORTH 22 KIAMBU 2213 THIKA WEST 33 NAROK 3303 NAROK SOUTH 23 TURKANA 2301 KIBISH 33 NAROK 3304 NAROK WEST 23 TURKANA 2302 LOIMA 33 NAROK 3305 TRANS MARA EAST 23 TURKANA 2303 TURKANA CENTRAL 33 NAROK 3306 TRANS MARA WEST 23 TURKANA 2304 TURKANA EAST 34 KAJIADO 3401 ISINYA 23 TURKANA 2305 TURKANA NORTH 34 KAJIADO 3402 KAJIADO CENTRAL 23 TURKANA 2306 TURKANA SOUTH 34 KAJIADO 3403 KAJIADO NORTH 23 TURKANA 2307 TURKANA WEST 34 KAJIADO 3404 KAJIADO WEST 24 WEST POKOT 2401 KIPKOMO 34 KAJIADO 3405 LOITOKITOK 24 WEST POKOT 2402 POKOT CENTRAL 34 KAJIADO 3406 MASHUURU 24 WEST POKOT 2403 POKOT NORTH 35 KERICHO 3501 BELGUT 24 WEST POKOT 2404 POKOT SOUTH 35 KERICHO 3502 BURETI 24 WEST POKOT 2405 WEST POKOT 35 KERICHO 3503 KERICHO EAST 25 SAMBURU 2501 SAMBURU CENTRAL 35 KERICHO 3504 KIPKELION 25 SAMBURU 2502 SAMBURU EAST 35 KERICHO 3505 LONDIANI 25 SAMBURU 2503 SAMBURU NORTH 35 KERICHO 3506 SOIN SIGOWET 26 TRANS NZOIA 2601 TRANS NZOIA WEST 36 BOMET 3601 BOMET EAST 26 TRANS NZOIA 2602 TRANS NZOIA EAST 36 BOMET 3602 CHEPALUNGU 26 TRANS NZOIA 2603 KWANZA 36 BOMET 3603 KONOIN 26 TRANS NZOIA 2604 ENDEBESS 36 BOMET 3604 SOTIK 26 TRANS NZOIA 2605 KIMININI 36 BOMET 3605 BOMET CENTRAL 27 UASIN GISHU 2701 AINABKOI 37 KAKAMEGA 3701 BUTERE 27 UASIN GISHU 2702 KAPSERET 37 KAKAMEGA 3702 KAKAMEGA CENTRAL 27 UASIN GISHU 2703 KESSES 37 KAKAMEGA 3703 KAKAMEGA EAST 27 UASIN GISHU 2704 MOIBEN 37 KAKAMEGA 3704 KAKAMEGA NORTH 27 UASIN GISHU 2705 SOY 37 KAKAMEGA 3705 KAKAMEGA SOUTH 27 UASIN GISHU 2706 TURBO 37 KAKAMEGA 3706 KHWISERO 8

Page 22

2019 Kenya Population and Housing Census: Volume IV COUNTY COUNTY NAME SUB-COUNTY SUB-COUNTY COUNTY COUNTY NAME SUB-COUNTY SUB-COUNTY CODE CODE NAME CODE CODE NAME 37 KAKAMEGA 3707 LIKUYANI 43 HOMA BAY 4301 HOMA BAY 37 KAKAMEGA 3708 LUGARI 43 HOMA BAY 4302 NDHIWA 37 KAKAMEGA 3709 MATETE 43 HOMA BAY 4303 RACHUONYO NORTH 37 KAKAMEGA 3710 MATUNGU 43 HOMA BAY 4304 RACHUONYO EAST 37 KAKAMEGA 3711 MUMIAS EAST 43 HOMA BAY 4305 RACHUONYO SOUTH 37 KAKAMEGA 3712 MUMIAS WEST 43 HOMA BAY 4306 RANGWE 37 KAKAMEGA 3713 NAVAKHOLO 43 HOMA BAY 4307 SUBA NORTH 38 VIHIGA 3801 EMUHAYA 43 HOMA BAY 4308 SUBA SOUTH 38 VIHIGA 3802 VIHIGA 44 MIGORI 4401 AWENDO 38 VIHIGA 3803 SABATIA 44 MIGORI 4402 KURIA EAST 38 VIHIGA 3804 LUANDA 44 MIGORI 4403 KURIA WEST 38 VIHIGA 3805 HAMISI 44 MIGORI 4404 NYATIKE 39 BUNGOMA 3901 BUMULA 44 MIGORI 4405 RONGO 39 BUNGOMA 3902 BUNGOMA CENTRAL 44 MIGORI 4406 SUNA EAST 39 BUNGOMA 3903 BUNGOMA EAST 44 MIGORI 4407 SUNA WEST 39 BUNGOMA 3904 BUNGOMA NORTH 44 MIGORI 4408 URIRI 39 BUNGOMA 3905 BUNGOMA SOUTH 45 KISII 4501 ETAGO 39 BUNGOMA 3906 CHEPTAIS 45 KISII 4502 GUCHA 39 BUNGOMA 3907 KIMILILI 45 KISII 4503 GUCHA SOUTH 39 BUNGOMA 3909 BUNGOMA WEST 45 KISII 4504 KENYENYA 39 BUNGOMA 3910 TONGAREN 45 KISII 4505 KISII CENTRAL 39 BUNGOMA 3911 WEBUYE WEST 45 KISII 4506 KISII SOUTH 39 BUNGOMA 3912 MT ELGON FOREST 45 KISII 4507 KITUTU CENTRAL 40 BUSIA 4001 BUNYALA 45 KISII 4508 MARANI 40 BUSIA 4002 BUSIA 45 KISII 4509 MASABA SOUTH 40 BUSIA 4003 BUTULA 45 KISII 4510 NYAMACHE 40 BUSIA 4004 NAMBALE 45 KISII 4511 SAMETA 40 BUSIA 4005 SAMIA 46 NYAMIRA 4601 BORABU 40 BUSIA 4006 TESO NORTH 46 NYAMIRA 4602 MANGA 40 BUSIA 4007 TESO SOUTH 46 NYAMIRA 4603 MASABA NORTH 41 SIAYA 4101 SIAYA 46 NYAMIRA 4604 NYAMIRA NORTH 41 SIAYA 4102 GEM 46 NYAMIRA 4605 NYAMIRA SOUTH 41 SIAYA 4103 UGENYA 47 NAIROBI CITY 4701 DAGORETTI 41 SIAYA 4104 UGUNJA 47 NAIROBI CITY 4702 EMBAKASI 41 SIAYA 4105 BONDO 47 NAIROBI CITY 4703 KAMUKUNJI 41 SIAYA 4106 RARIEDA 47 NAIROBI CITY 4704 KASARANI 42 KISUMU 4201 KISUMU EAST 47 NAIROBI CITY 4705 KIBRA 42 KISUMU 4202 KISUMU CENTRAL 47 NAIROBI CITY 4706 LANG’ATA 42 KISUMU 4203 KISUMU WEST 47 NAIROBI CITY 4707 MAKADARA 42 KISUMU 4204 SEME 47 NAIROBI CITY 4708 MATHARE 42 KISUMU 4205 MUHORONI 47 NAIROBI CITY 4709 NJIRU 42 KISUMU 4206 NYANDO 47 NAIROBI CITY 4710 STAREHE 42 KISUMU 4207 NYAKACH 47 NAIROBI CITY 4711 WESTLANDS 9

Page 23

2019 Kenya Population and Housing Census: Volume IV CHAPTER 2: CENSUS RESULTS 2.1 Summary Findings 2.1.1 Sub-Locations with No Data A number of sub-locations had no enumerated population on the census night. Table 2.1 shows the specific sub-locations and reasons for no population. Table 2. 1: Sub-locations with no People on the Census Night by Status/Reason County Sub-Location Status/Reason Makueni Tsavo East National Park National Park Kiambu Aberdare Forest Forest Area Turkana Parkati Population migrated in search of water Nandi Nandi South Forest Forest Area Nandi North Tinderet Forest Forest Area Nandi Nandi South Forest Forest Area Baringo Lake Bogoria Lake Baringo Lake Baringo Lake Nakuru Mau Forest Forest Area Kericho Mau Forest Forest Area Kericho Tinderet Forest Forest Area Bomet Mau Forest Forest Area Kakamega Kakamega East Forest Forest Area 2.1.2 Education The 2019 census collected data on formal and non-formal schooling in order to determine the educational attainment of population aged 3 years and above. Tables 2.2, 2.3, 2.4, 2.5, 2.6a and 2.6b provide the distribution of population aged 3 years and above by school attendance status, schooling level, highest level of education reached and completed, disaggregated by sex, county and sub-county. Table 2.7 shows the distribution of population aged 15 years and above by main training acquired and qualified for, by sex and county. A total of 17.8 million individuals reported that they were at school/learning institution; 11.6 million left school/learning institution after completion; 6.9 million left school/learning institution before completion; and 7.1 million had never been to school. The data shows that 10.0 million people were attending primary school; 3.4 million were attending secondary school while 3.3 million were attending pre-primary school. Those attending middle level college/technical training education were about 500 thousand and those attending university education were 471 thousand. Majority 10

Page 24

2019 Kenya Population and Housing Census: Volume IV of respondents had attained primary education, followed by secondary education. Persons with university education were 1.3 million. 2.1.3 Activity Status Information on the activity status for all individuals aged five years and above for the seven days preceding the census reference night is presented in Tables 2.8a, 2.8b, 2.8c, 2.9a, 2.9b and 2.9c. The results show that the economically active population was 22.3 million, comprising the working (19.7 million) and those seeking work (2.6 million). Females accounted for 50.2 per cent of the total working population. The proportion of males in the urban areas that reported having worked was 50.4 per cent compared to 40.6 per cent of females. A total of 18.9 million individuals were outside the labour force during the reference period. There were 10.1 million youth aged 18-34 years and 4.1 million youth aged 15-24 years in the labour force. 2.1.4 Housing Conditions and Amenities The proportion of households owning the main dwelling unit they occupied was 61.3 per cent while those occupying rented/provided dwelling units were 38.7 per cent. Majority (93.9 per cent) of the owned dwelling units were constructed, 3.3 per cent were inherited and 2.8 per cent were purchased. The 2019 KPHC data shows that 80.3 per cent of the households occupied dwelling units that had iron sheet as the main roofing material followed by concrete/cement at 8.2 per cent. The dominant material used for wall construction was mud/cow dung at 27.5 per cent followed by stone with lime/cement at 16.5 per cent. Dwelling units with concrete walls accounted for 16.3 per cent of the total. The predominant floor material was concrete/cement accounting for 43.7 per cent followed by earth/sand floors at 30.0 per cent. More than a third (34.2 per cent) of households in the country relied on piped water as a source of drinking water. More than half (51.2 per cent) of households use covered pit latrine as a sanitation facility. The most common mode of solid waste disposal was burning in the open, used by 27.1 per cent of the households. Firewood was the most commonly used type of cooking fuel reported by 55.1 per cent of the households followed by Liquefied Petroleum Gas (LPG) at 23.9 per cent. Slightly over half (50.4 per cent) of households reported using electricity mains as a source of lighting fuel followed by solar (19.3 per cent). 11

Page 25

2019 Kenya Population and Housing Census: Volume IV 2.1.5 Agriculture Statistics on agriculture from Kenya Population and Housing Census (KPHC 2019) are presented in Tables 2.19 to 2.24. Total agricultural land operated by households stood at 10.3 million hectares, equivalent to 17.5 per cent of the total land area in the country. Of the total enumerated households, 6.4 million were practicing agriculture. Households growing crops were 5.6 million while those practicing irrigation were 369,679. In total, 5.1 million households were engaged in maize cultivation followed by 3.6 million cultivating beans. Livestock keeping was practiced by 4.7 million households while aquaculture and fishing activities were practiced by 29,325 and 109,640 households, respectively. 2.1.6 Disability Questions on the six domains of disability (visual, hearing, mobility, cognition, self- care and communication) were asked of persons aged five years and above while that of albinism was administered to everyone. Tables2.25 to 2.27 present information on disability. The results show that 918,270 people aged 5 years and above had a disability. More females (523,883) than males (394,330) had disabilities. The common types of disability were mobility (385,417) followed by visual (333,520). A total of 9,729 persons had albinism. 2.1.7 Religious and Ethnic Affiliation Tables 2.29 and 2.30 presents the distribution of the population by religious and ethnic affiliation, respectively. The data shows that majority (85.5 per cent) of the population are Christians with Protestants, Catholics and Evangelical churches accounting for 33.4,20.6, and 20.4 per cent, respectively. Muslims accounted for 11 per cent of the entire population. The five most populous ethnic affiliations were Kikuyu, Luhya, Kalenjin, Luo and Kamba while the five least populous were Dahalo, El Molo, Konso, Gosha and Wayyu. 2.1.8 Information and Communication Technology (ICT) Information on ownership and usage of selected ICT equipment and services is presented in Tables 2.31 to 2.34. The KPHC results show that 20,694,315 of individuals aged 3 years and above owned a mobile phone. More females (10,425,040) than males (10,268,651) owned a mobile phone. 12

Page 26

2019 Kenya Population and Housing Census: Volume IV The data also shows that 22.6 per cent of individuals aged 3 years and above used internet while 10.4 per cent used a computer. The proportion of population aged 15 years and above who searched and bought goods and services online was 4.3 per cent. 2.1.9 Ownership of Household Assets A functional television set was the popular household asset owned by 40.7 per cent of households, with households in urban areas accounting for a larger share (62.5 per cent) compared to those in rural areas (26.9 per cent). Approximately 9 per cent of households owned a motorcycle. A larger share of the rural households (10.8 per cent) than urban (6.7 per cent) owned a motor cycle. 13

Page 27

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number KENYA 4 3,739,906 1 7,780,277 4 0.7 1 1,568,544 2 6.4 6 ,854,538 1 5.7 7 ,120,542 1 6.3 4 06,887 0 .9 9 ,118 Rural 3 0,253,083 1 2,922,660 4 2.7 6 ,023,054 1 9.9 5 ,088,656 1 6.8 5 ,940,009 1 9.6 2 73,416 0 .9 5 ,288 Urban 1 3,486,823 4 ,857,617 3 6.0 5 ,545,490 4 1.1 1 ,765,882 1 3.1 1 ,180,533 8 .8 1 33,471 1 .0 3 ,830 Male 2 1,574,077 9 ,040,318 4 1.9 5 ,910,664 2 7.4 3 ,172,382 1 4.7 3 ,223,856 1 4.9 2 22,301 1 .0 4 ,556 Female 2 2,164,531 8 ,739,524 3 9.4 5 ,657,565 2 5.5 3 ,681,910 1 6.6 3 ,896,417 1 7.6 1 84,558 0 .8 4 ,557 Intersex 1 ,298 4 35 3 3.5 3 15 2 4.3 2 46 1 9.0 2 69 2 0.7 2 8 2 .2 5 MOMBASA 1 ,100,173 3 78,423 3 4.4 4 57,603 4 1.6 1 53,982 1 4.0 1 01,097 9 .2 8 ,817 0 .8 2 51 Male 5 52,476 1 89,490 3 4.3 2 43,173 4 4.0 7 4,382 1 3.5 4 0,253 7 .3 5 ,043 0 .9 1 35 Female 5 47,681 1 88,930 3 4.5 2 14,424 3 9.2 7 9,596 1 4.5 6 0,843 1 1.1 3 ,772 0 .7 1 16 CHANGAMWE 1 21,334 3 9,032 3 2.2 5 8,097 4 7.9 1 6,205 1 3.4 6 ,940 5 .7 1 ,048 0 .9 1 2 Male 6 3,184 1 9,482 3 0.8 3 1,918 5 0.5 8 ,157 1 2.9 2 ,976 4 .7 6 47 1 .0 4 Female 5 8,150 1 9,550 3 3.6 2 6,179 4 5.0 8 ,048 1 3.8 3 ,964 6 .8 4 01 0 .7 8 JOMVU 1 49,699 5 1,892 3 4.7 6 4,235 4 2.9 1 9,430 1 3.0 1 3,416 9 .0 6 98 0 .5 2 8 Male 7 5,931 2 6,020 3 4.3 3 4,362 4 5.3 9 ,689 1 2.8 5 ,424 7 .1 4 22 0 .6 1 4 Female 7 3,765 2 5,872 3 5.1 2 9,872 4 0.5 9 ,739 1 3.2 7 ,992 1 0.8 2 76 0 .4 1 4 KISAUNI 2 63,742 9 5,844 3 6.3 1 02,940 3 9.0 3 7,450 1 4.2 2 5,182 9 .5 2 ,257 0 .9 6 9 Male 1 31,351 4 8,136 3 6.6 5 4,063 4 1.2 1 8,051 1 3.7 9 ,748 7 .4 1 ,315 1 .0 3 8 Female 1 32,388 4 7,707 3 6.0 4 8,876 3 6.9 1 9,399 1 4.7 1 5,434 1 1.7 9 41 0 .7 3 1 LIKONI 2 28,472 7 9,083 3 4.6 9 0,079 3 9.4 3 4,337 1 5.0 2 3,434 1 0.3 1 ,516 0 .7 2 3 Male 1 15,784 3 9,336 3 4.0 4 9,230 4 2.5 1 6,522 1 4.3 9 ,784 8 .5 8 97 0 .8 1 5 Female 1 12,685 3 9,746 3 5.3 4 0,849 3 6.3 1 7,814 1 5.8 1 3,650 1 2.1 6 18 0 .5 8 MVITA 1 38,927 4 6,714 3 3.6 5 4,731 3 9.4 1 8,229 1 3.1 1 7,745 1 2.8 1 ,441 1 .0 6 7 Male 6 6,589 2 3,515 3 5.3 2 7,476 4 1.3 8 ,307 1 2.5 6 ,515 9 .8 7 36 1 .1 4 0 Female 7 2,336 2 3,198 3 2.1 2 7,255 3 7.7 9 ,922 1 3.7 1 1,229 1 5.5 7 05 1 .0 2 7 NYALI 1 97,999 6 5,858 3 3.3 8 7,521 4 4.2 2 8,331 1 4.3 1 4,380 7 .3 1 ,857 0 .9 5 2 Male 9 9,637 3 3,001 3 3.1 4 6,124 4 6.3 1 3,656 1 3.7 5 ,806 5 .8 1 ,026 1 .0 2 4 Female 9 8,357 3 2,857 3 3.4 4 1,393 4 2.1 1 4,674 1 4.9 8 ,574 8 .7 8 31 0 .8 2 8 KWALE 7 83,189 3 34,612 4 2.7 1 52,178 1 9.4 9 8,811 1 2.6 1 92,001 2 4.5 5 ,418 0 .7 1 69 Male 3 82,538 1 71,696 4 4.9 8 3,012 2 1.7 4 9,352 1 2.9 7 5,281 1 9.7 3 ,108 0 .8 8 9 Female 4 00,636 1 62,911 4 0.7 6 9,162 1 7.3 4 9,457 1 2.3 1 16,716 2 9.1 2 ,310 0 .6 8 0 KINANGO 8 4,534 3 8,765 4 5.9 9 ,817 1 1.6 9 ,969 1 1.8 2 5,594 3 0.3 3 72 0 .4 1 7 Male 4 0,445 2 0,011 4 9.5 5 ,412 1 3.4 5 ,040 1 2.5 9 ,783 2 4.2 1 92 0 .5 7 Female 4 4,088 1 8,753 4 2.5 4 ,405 1 0.0 4 ,929 1 1.2 1 5,811 3 5.9 1 80 0 .4 1 0 LUNGA LUNGA 1 80,056 7 6,787 4 2.6 2 2,030 1 2.2 2 3,394 1 3.0 5 5,779 3 1.0 2 ,056 1 .1 1 0 Male 8 7,893 3 9,663 4 5.1 1 2,198 1 3.9 1 2,070 1 3.7 2 2,798 2 5.9 1 ,158 1 .3 6 Female 9 2,161 3 7,124 4 0.3 9 ,831 1 0.7 1 1,324 1 2.3 3 2,980 3 5.8 8 98 1 .0 4 14

Page 28

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number MATUGA 1 77,675 7 6,734 4 3.2 4 0,378 2 2.7 2 2,561 1 2.7 3 7,190 2 0.9 7 71 0 .4 4 1 Male 8 7,377 3 9,476 4 5.2 2 1,744 2 4.9 1 1,056 1 2.7 1 4,610 1 6.7 4 69 0 .5 2 2 Female 9 0,296 3 7,257 4 1.3 1 8,633 2 0.6 1 1,505 1 2.7 2 2,580 2 5.0 3 02 0 .3 1 9 MSAMBWENI 1 59,936 6 1,075 3 8.2 5 2,123 3 2.6 2 2,798 1 4.3 2 2,665 1 4.2 1 ,245 0 .8 3 0 Male 8 0,181 3 0,868 3 8.5 2 8,037 3 5.0 1 1,099 1 3.8 9 ,381 1 1.7 7 77 1 .0 1 9 Female 7 9,752 3 0,206 3 7.9 2 4,085 3 0.2 1 1,698 1 4.7 1 3,284 1 6.7 4 68 0 .6 1 1 SAMBURU 1 80,988 8 1,251 4 4.9 2 7,830 1 5.4 2 0,089 1 1.1 5 0,773 2 8.1 9 74 0 .5 7 1 Male 8 6,642 4 1,678 4 8.1 1 5,621 1 8.0 1 0,087 1 1.6 1 8,709 2 1.6 5 12 0 .6 3 5 Female 9 4,339 3 9,571 4 1.9 1 2,208 1 2.9 1 0,001 1 0.6 3 2,061 3 4.0 4 62 0 .5 3 6 KILIFI 1 ,323,664 6 05,776 4 5.8 2 82,538 2 1.3 1 75,199 1 3.2 2 50,280 1 8.9 9 ,634 0 .7 2 37 Male 6 36,891 3 08,926 4 8.5 1 54,263 2 4.2 8 6,075 1 3.5 8 2,303 1 2.9 5 ,214 0 .8 1 10 Female 6 86,754 2 96,841 4 3.2 1 28,273 1 8.7 8 9,122 1 3.0 1 67,972 2 4.5 4 ,420 0 .6 1 26 CHONYI 5 7,246 2 8,875 5 0.4 8 ,612 1 5.0 7 ,410 1 2.9 1 2,060 2 1.1 2 89 0 .5 - Male 2 6,917 1 4,936 5 5.5 4 ,814 1 7.9 3 ,513 1 3.1 3 ,509 1 3.0 1 45 0 .5 - Female 3 0,328 1 3,938 4 6.0 3 ,798 1 2.5 3 ,897 1 2.8 8 ,551 2 8.2 1 44 0 .5 - GANZE 1 31,101 6 7,193 5 1.3 1 4,842 1 1.3 1 3,191 1 0.1 3 5,066 2 6.7 7 61 0 .6 4 8 Male 6 0,552 3 4,222 5 6.5 7 ,843 1 3.0 6 ,804 1 1.2 1 1,272 1 8.6 3 91 0 .6 2 0 Female 7 0,546 3 2,969 4 6.7 6 ,999 9 .9 6 ,387 9 .1 2 3,793 3 3.7 3 70 0 .5 2 8 KALOLENI 1 76,734 8 0,964 4 5.8 3 2,710 1 8.5 2 0,914 1 1.8 4 0,720 2 3.0 1 ,369 0 .8 5 7 Male 8 3,996 4 1,402 4 9.3 1 7,946 2 1.4 1 0,588 1 2.6 1 3,331 1 5.9 7 05 0 .8 2 4 Female 9 2,733 3 9,559 4 2.7 1 4,764 1 5.9 1 0,326 1 1.1 2 7,388 2 9.5 6 64 0 .7 3 2 KAUMA 2 0,821 1 0,969 5 2.7 3 ,354 1 6.1 1 ,753 8 .4 4 ,517 2 1.7 2 28 1 .1 - Male 1 0,054 5 ,659 5 6.3 2 ,004 1 9.9 8 65 8 .6 1 ,421 1 4.1 1 05 1 .0 - Female 1 0,767 5 ,310 4 9.3 1 ,350 1 2.5 8 88 8 .2 3 ,096 2 8.8 1 23 1 .1 - KILIFI NORTH 1 62,990 7 2,834 4 4.7 4 0,268 2 4.7 2 4,984 1 5.3 2 3,855 1 4.6 1 ,040 0 .6 9 Male 7 8,763 3 6,930 4 6.9 2 1,544 2 7.4 1 2,190 1 5.5 7 ,498 9 .5 5 97 0 .8 4 Female 8 4,225 3 5,902 4 2.6 1 8,724 2 2.2 1 2,794 1 5.2 1 6,357 1 9.4 4 43 0 .5 5 KILIFI SOUTH 1 87,663 7 6,984 4 1.0 5 3,927 2 8.7 2 8,002 1 4.9 2 6,646 1 4.2 2 ,092 1 .1 1 2 Male 9 1,863 3 9,007 4 2.5 2 9,022 3 1.6 1 3,465 1 4.7 9 ,225 1 0.0 1 ,137 1 .2 7 Female 9 5,799 3 7,977 3 9.6 2 4,904 2 6.0 1 4,537 1 5.2 1 7,421 1 8.2 9 55 1 .0 5 MAGARINI 1 74,553 8 6,722 4 9.7 2 4,896 1 4.3 2 2,469 1 2.9 3 9,884 2 2.8 5 62 0 .3 2 0 Male 8 4,429 4 4,425 5 2.6 1 4,412 1 7.1 1 1,450 1 3.6 1 3,822 1 6.4 3 07 0 .4 1 3 Female 9 0,124 4 2,297 4 6.9 1 0,484 1 1.6 1 1,019 1 2.2 2 6,062 2 8.9 2 55 0 .3 7 MALINDI 3 01,205 1 32,098 4 3.9 7 6,156 2 5.3 4 3,748 1 4.5 4 6,878 1 5.6 2 ,241 0 .7 8 4 Male 1 46,545 6 7,256 4 5.9 4 1,483 2 8.3 2 1,034 1 4.4 1 5,451 1 0.5 1 ,282 0 .9 3 9 Female 1 54,653 6 4,841 4 1.9 3 4,672 2 2.4 2 2,712 1 4.7 3 1,424 2 0.3 9 59 0 .6 4 5 RABAI 1 11,351 4 9,137 4 4.1 2 7,773 2 4.9 1 2,728 1 1.4 2 0,654 1 8.5 1 ,052 0 .9 7 Male 5 3,772 2 5,089 4 6.7 1 5,195 2 8.3 6 ,166 1 1.5 6 ,774 1 2.6 5 45 1 .0 3 Female 5 7,579 2 4,048 4 1.8 1 2,578 2 1.8 6 ,562 1 1.4 1 3,880 2 4.1 5 07 0 .9 4 15

Page 29

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number TANA RIVER 2 84,605 9 5,997 3 3.7 3 2,815 1 1.5 2 9,062 1 0.2 1 25,160 4 4.0 1 ,445 0 .5 1 26 Male 1 42,087 5 0,470 3 5.5 1 9,351 1 3.6 1 4,502 1 0.2 5 6,872 4 0.0 8 35 0 .6 5 7 Female 1 42,516 4 5,527 3 1.9 1 3,464 9 .4 1 4,560 1 0.2 6 8,287 4 7.9 6 09 0 .4 6 9 TANA DELTA 9 9,792 3 8,308 3 8.4 1 1,589 1 1.6 1 0,687 1 0.7 3 8,778 3 8.9 3 84 0 .4 4 6 Male 5 0,066 1 9,808 3 9.6 6 ,810 1 3.6 5 ,371 1 0.7 1 7,832 3 5.6 2 29 0 .5 1 6 Female 4 9,726 1 8,500 3 7.2 4 ,779 9 .6 5 ,316 1 0.7 2 0,946 4 2.1 1 55 0 .3 3 0 TANA NORTH 1 05,495 2 8,681 2 7.2 1 0,250 9 .7 7 ,843 7 .4 5 7,968 5 4.9 7 24 0 .7 2 9 Male 5 3,199 1 5,776 2 9.7 6 ,284 1 1.8 4 ,254 8 .0 2 6,472 4 9.8 3 96 0 .7 1 7 Female 5 2,294 1 2,905 2 4.7 3 ,966 7 .6 3 ,589 6 .9 3 1,495 6 0.2 3 27 0 .6 1 2 TANA RIVER 7 9,318 2 9,008 3 6.6 1 0,976 1 3.8 1 0,532 1 3.3 2 8,414 3 5.8 3 37 0 .4 5 1 Male 3 8,822 1 4,886 3 8.3 6 ,257 1 6.1 4 ,877 1 2.6 1 2,568 3 2.4 2 10 0 .5 2 4 Female 4 0,496 1 4,122 3 4.9 4 ,719 1 1.7 5 ,655 1 4.0 1 5,846 3 9.1 1 27 0 .3 2 7 LAMU 1 30,991 5 0,249 3 8.4 3 0,833 2 3.5 2 2,762 1 7.4 2 6,325 2 0.1 7 86 0 .6 3 6 Male 6 9,111 2 5,969 3 7.6 1 8,933 2 7.4 1 1,830 1 7.1 1 1,888 1 7.2 4 72 0 .7 1 9 Female 6 1,877 2 4,278 3 9.2 1 1,899 1 9.2 1 0,932 1 7.7 1 4,437 2 3.3 3 14 0 .5 1 7 LAMU EAST 2 0,637 7 ,592 3 6.8 4 ,029 1 9.5 4 ,189 2 0.3 4 ,745 2 3.0 8 2 0 .4 - Male 1 0,805 3 ,866 3 5.8 2 ,599 2 4.1 2 ,164 2 0.0 2 ,112 1 9.5 6 4 0 .6 - Female 9 ,832 3 ,726 3 7.9 1 ,430 1 4.5 2 ,025 2 0.6 2 ,633 2 6.8 1 8 0 .2 - LAMU WEST 1 10,354 4 2,657 3 8.7 2 6,804 2 4.3 1 8,573 1 6.8 2 1,580 1 9.6 7 04 0 .6 3 6 Male 5 8,306 2 2,103 3 7.9 1 6,334 2 8.0 9 ,666 1 6.6 9 ,776 1 6.8 4 08 0 .7 1 9 Female 5 2,045 2 0,552 3 9.5 1 0,469 2 0.1 8 ,907 1 7.1 1 1,804 2 2.7 2 96 0 .6 1 7 TAITA/TAVETA 3 12,593 1 16,381 3 7.2 1 18,731 3 8.0 4 7,998 1 5.4 2 8,128 9 .0 1 ,286 0 .4 6 9 Male 1 58,230 5 9,272 3 7.5 6 3,137 3 9.9 2 3,804 1 5.0 1 1,239 7 .1 7 44 0 .5 3 4 Female 1 54,357 5 7,108 3 7.0 5 5,594 3 6.0 2 4,190 1 5.7 1 6,888 1 0.9 5 42 0 .4 3 5 MWATATE 7 6,078 2 8,635 3 7.6 2 7,675 3 6.4 1 2,851 1 6.9 6 ,765 8 .9 1 43 0 .2 9 Male 3 8,672 1 4,632 3 7.8 1 4,867 3 8.4 6 ,443 1 6.7 2 ,638 6 .8 8 7 0 .2 5 Female 3 7,404 1 4,002 3 7.4 1 2,808 3 4.2 6 ,408 1 7.1 4 ,126 1 1.0 5 6 0 .1 4 TAITA 5 2,345 1 9,302 3 6.9 2 2,153 4 2.3 6 ,632 1 2.7 4 ,059 7 .8 1 97 0 .4 2 Male 2 6,495 9 ,800 3 7.0 1 1,852 4 4.7 3 ,242 1 2.2 1 ,503 5 .7 9 8 0 .4 - Female 2 5,850 9 ,502 3 6.8 1 0,301 3 9.8 3 ,390 1 3.1 2 ,556 9 .9 9 9 0 .4 2 TAVETA 8 2,789 3 1,879 3 8.5 2 5,884 3 1.3 1 5,410 1 8.6 9 ,009 1 0.9 5 85 0 .7 2 2 Male 4 2,548 1 6,342 3 8.4 1 3,891 3 2.6 7 ,929 1 8.6 4 ,016 9 .4 3 61 0 .8 9 Female 4 0,241 1 5,537 3 8.6 1 1,993 2 9.8 7 ,481 1 8.6 4 ,993 1 2.4 2 24 0 .6 1 3 VOI 1 01,381 3 6,565 3 6.1 4 3,019 4 2.4 1 3,105 1 2.9 8 ,295 8 .2 3 61 0 .4 3 6 Male 5 0,515 1 8,498 3 6.6 2 2,527 4 4.6 6 ,190 1 2.3 3 ,082 6 .1 1 98 0 .4 2 0 Female 5 0,862 1 8,067 3 5.5 2 0,492 4 0.3 6 ,911 1 3.6 5 ,213 1 0.2 1 63 0 .3 1 6 16

Page 30

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number GARISSA 7 78,006 1 32,990 1 7.1 2 3,144 3 .0 9 ,508 1 .2 5 84,730 7 5.2 2 7,479 3 .5 1 55 Male 4 25,411 7 7,489 1 8.2 1 5,400 3 .6 5 ,309 1 .2 3 11,556 7 3.2 1 5,564 3 .7 9 3 Female 3 52,563 5 5,497 1 5.7 7 ,744 2 .2 4 ,198 1 .2 2 73,149 7 7.5 1 1,913 3 .4 6 2 BALAMBALA 3 0,885 2 ,740 8 .9 6 53 2 .1 1 42 0 .5 2 6,934 8 7.2 4 16 1 .3 - Male 1 9,392 1 ,692 8 .7 5 85 3 .0 1 14 0 .6 1 6,721 8 6.2 2 80 1 .4 - Female 1 1,492 1 ,048 9 .1 6 8 0 .6 2 8 0 .2 1 0,212 8 8.9 1 36 1 .2 - DADAAB 1 71,529 2 0,883 1 2.2 3 ,254 1 .9 1 ,479 0 .9 1 38,363 8 0.7 7 ,491 4 .4 5 9 Male 9 1,581 1 2,354 1 3.5 2 ,330 2 .5 8 12 0 .9 7 1,639 7 8.2 4 ,404 4 .8 4 2 Female 7 9,942 8 ,529 1 0.7 9 24 1 .2 6 67 0 .8 6 6,718 8 3.5 3 ,087 3 .9 1 7 FAFI 1 23,861 1 5,237 1 2.3 2 ,351 1 .9 1 ,334 1 .1 1 02,021 8 2.4 2 ,895 2 .3 2 3 Male 6 7,143 8 ,847 1 3.2 1 ,570 2 .3 7 56 1 .1 5 4,524 8 1.2 1 ,432 2 .1 1 4 Female 5 6,708 6 ,389 1 1.3 7 81 1 .4 5 77 1 .0 4 7,489 8 3.7 1 ,463 2 .6 9 GARISSA 1 48,891 4 0,562 2 7.2 1 2,093 8 .1 4 ,244 2 .9 8 6,046 5 7.8 5 ,898 4 .0 4 8 Male 7 5,234 2 2,526 2 9.9 7 ,644 1 0.2 2 ,271 3 .0 3 9,777 5 2.9 2 ,994 4 .0 2 2 Female 7 3,652 1 8,033 2 4.5 4 ,449 6 .0 1 ,973 2 .7 4 6,268 6 2.8 2 ,903 3 .9 2 6 HULUGHO 1 24,947 1 9,993 1 6.0 1 ,347 1 .1 1 ,038 0 .8 9 9,237 7 9.4 3 ,324 2 .7 8 Male 7 3,417 1 2,290 1 6.7 9 10 1 .2 5 98 0 .8 5 7,522 7 8.3 2 ,092 2 .8 5 Female 5 1,525 7 ,703 1 5.0 4 37 0 .8 4 40 0 .9 4 1,710 8 1.0 1 ,232 2 .4 3 IJARA 1 31,571 2 8,963 2 2.0 3 ,063 2 .3 1 ,029 0 .8 9 1,781 6 9.8 6 ,718 5 .1 1 7 Male 7 5,484 1 7,366 2 3.0 2 ,113 2 .8 6 15 0 .8 5 1,387 6 8.1 3 ,993 5 .3 1 0 Female 5 6,083 1 1,597 2 0.7 9 50 1 .7 4 14 0 .7 4 0,391 7 2.0 2 ,724 4 .9 7 LAGDERA 4 6,322 4 ,612 1 0.0 3 83 0 .8 2 42 0 .5 4 0,348 8 7.1 7 37 1 .6 - Male 2 3,160 2 ,414 1 0.4 2 48 1 .1 1 43 0 .6 1 9,986 8 6.3 3 69 1 .6 - Female 2 3,161 2 ,198 9 .5 1 35 0 .6 9 9 0 .4 2 0,361 8 7.9 3 68 1 .6 - WAJIR 7 11,571 1 32,611 1 8.6 1 3,792 1 .9 5 ,489 0 .8 5 49,406 7 7.2 1 0,209 1 .4 6 4 Male 3 79,557 7 5,637 1 9.9 9 ,423 2 .5 3 ,224 0 .8 2 85,684 7 5.3 5 ,548 1 .5 4 1 Female 3 31,969 5 6,970 1 7.2 4 ,369 1 .3 2 ,265 0 .7 2 63,682 7 9.4 4 ,660 1 .4 2 3 BUNA 4 4,083 6 ,081 1 3.8 4 78 1 .1 1 79 0 .4 3 6,483 8 2.8 8 62 2 .0 - Male 2 3,847 3 ,410 1 4.3 3 20 1 .3 1 13 0 .5 1 9,535 8 1.9 4 69 2 .0 - Female 2 0,234 2 ,671 1 3.2 1 58 0 .8 6 6 0 .3 1 6,946 8 3.8 3 93 1 .9 - ELDAS 8 2,187 1 4,237 1 7.3 8 51 1 .0 4 50 0 .5 6 5,185 7 9.3 1 ,464 1 .8 - Male 4 1,866 7 ,706 1 8.4 5 32 1 .3 2 39 0 .6 3 2,637 7 8.0 7 52 1 .8 - Female 4 0,314 6 ,531 1 6.2 3 19 0 .8 2 11 0 .5 3 2,541 8 0.7 7 12 1 .8 - HABASWEIN 1 58,790 3 5,144 2 2.1 3 ,024 1 .9 1 ,340 0 .8 1 18,608 7 4.7 6 50 0 .4 2 4 Male 8 6,244 2 0,991 2 4.3 2 ,111 2 .4 7 48 0 .9 6 2,022 7 1.9 3 60 0 .4 1 2 Female 7 2,531 1 4,153 1 9.5 9 13 1 .3 5 92 0 .8 5 6,572 7 8.0 2 89 0 .4 1 2 TARBAJ 5 0,653 6 ,525 1 2.9 4 24 0 .8 2 71 0 .5 4 3,113 8 5.1 3 20 0 .6 - Male 2 4,262 3 ,311 1 3.6 3 03 1 .2 1 35 0 .6 2 0,353 8 3.9 1 60 0 .7 - Female 2 6,386 3 ,213 1 2.2 1 21 0 .5 1 36 0 .5 2 2,756 8 6.2 1 60 0 .6 - WAJIR EAST 1 01,247 2 5,940 2 5.6 5 ,590 5 .5 1 ,791 1 .8 6 5,460 6 4.7 2 ,439 2 .4 2 7 Male 5 4,136 1 4,536 2 6.9 3 ,748 6 .9 1 ,075 2 .0 3 3,462 6 1.8 1 ,293 2 .4 2 2 Female 4 7,109 1 1,403 2 4.2 1 ,842 3 .9 7 16 1 .5 3 1,997 6 7.9 1 ,146 2 .4 5 17

Page 31

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number WAJIR NORTH 5 5,799 9 ,690 1 7.4 8 27 1 .5 3 54 0 .6 4 3,773 7 8.4 1 ,155 2 .1 - Male 2 8,905 5 ,301 1 8.3 5 76 2 .0 2 27 0 .8 2 2,201 7 6.8 6 00 2 .1 - Female 2 6,888 4 ,389 1 6.3 2 51 0 .9 1 27 0 .5 2 1,566 8 0.2 5 55 2 .1 - WAJIR SOUTH 1 07,634 1 5,891 1 4.8 1 ,313 1 .2 5 57 0 .5 8 8,448 8 2.2 1 ,412 1 .3 1 3 Male 6 0,030 9 ,675 1 6.1 9 22 1 .5 3 46 0 .6 4 8,347 8 0.5 7 33 1 .2 7 Female 4 7,602 6 ,215 1 3.1 3 91 0 .8 2 11 0 .4 4 0,100 8 4.2 6 79 1 .4 6 WAJIR WEST 1 11,178 1 9,103 1 7.2 1 ,285 1 .2 5 47 0 .5 8 8,336 7 9.5 1 ,907 1 .7 - Male 6 0,267 1 0,707 1 7.8 9 11 1 .5 3 41 0 .6 4 7,127 7 8.2 1 ,181 2 .0 - Female 5 0,905 8 ,395 1 6.5 3 74 0 .7 2 06 0 .4 4 1,204 8 0.9 7 26 1 .4 - MANDERA 7 75,085 1 68,647 2 1.8 2 1,483 2 .8 7 ,222 0 .9 5 55,819 7 1.7 2 1,776 2 .8 1 38 Male 3 91,182 9 0,664 2 3.2 1 4,204 3 .6 4 ,118 1 .1 2 71,252 6 9.3 1 0,871 2 .8 7 3 Female 3 83,873 7 7,980 2 0.3 7 ,279 1 .9 3 ,104 0 .8 2 84,543 7 4.1 1 0,902 2 .8 6 5 MANDERA WEST 8 6,713 2 2,717 2 6.2 1 ,501 1 .7 5 96 0 .7 6 0,134 6 9.3 1 ,761 2 .0 4 Male 4 2,666 1 1,917 2 7.9 1 ,001 2 .3 3 64 0 .9 2 8,586 6 7.0 7 96 1 .9 2 Female 4 4,045 1 0,800 2 4.5 5 00 1 .1 2 32 0 .5 3 1,546 7 1.6 9 65 2 .2 2 BANISA 1 35,664 2 0,564 1 5.2 1 ,603 1 .2 5 36 0 .4 1 10,225 8 1.2 2 ,735 2 .0 1 Male 7 0,366 1 1,647 1 6.6 1 ,130 1 .6 3 09 0 .4 5 5,978 7 9.6 1 ,302 1 .9 - Female 6 5,291 8 ,916 1 3.7 4 73 0 .7 2 27 0 .3 5 4,241 8 3.1 1 ,433 2 .2 1 KOTULO 6 3,722 1 6,578 2 6.0 1 ,667 2 .6 5 62 0 .9 4 3,739 6 8.6 1 ,176 1 .8 - Male 3 1,894 8 ,797 2 7.6 1 ,033 3 .2 2 99 0 .9 2 1,127 6 6.2 6 38 2 .0 - Female 3 1,826 7 ,780 2 4.4 6 34 2 .0 2 63 0 .8 2 2,611 7 1.0 5 38 1 .7 - LAFEY 7 4,593 1 2,181 1 6.3 9 28 1 .2 3 95 0 .5 5 8,134 7 7.9 2 ,954 4 .0 1 Male 3 6,424 6 ,112 1 6.8 6 02 1 .7 2 30 0 .6 2 8,026 7 6.9 1 ,453 4 .0 1 Female 3 8,164 6 ,069 1 5.9 3 26 0 .9 1 65 0 .4 3 0,104 7 8.9 1 ,500 3 .9 - MANDERA CENTRAL 1 40,725 3 4,878 2 4.8 3 ,761 2 .7 1 ,536 1 .1 9 6,339 6 8.5 4 ,079 2 .9 1 32 Male 6 4,682 1 6,936 2 6.2 2 ,304 3 .6 8 27 1 .3 4 2,601 6 5.9 1 ,944 3 .0 7 0 Female 7 6,039 1 7,941 2 3.6 1 ,457 1 .9 7 09 0 .9 5 3,735 7 0.7 2 ,135 2 .8 6 2 MANDERA EAST 1 44,168 3 6,560 2 5.4 9 ,290 6 .4 2 ,707 1 .9 8 9,821 6 2.3 5 ,790 4 .0 - Male 7 5,335 2 0,910 2 7.8 6 ,289 8 .3 1 ,545 2 .1 4 3,543 5 7.8 3 ,048 4 .0 - Female 6 8,829 1 5,650 2 2.7 3 ,001 4 .4 1 ,162 1 .7 4 6,275 6 7.2 2 ,741 4 .0 - MANDERA NORTH 1 29,500 2 5,169 1 9.4 2 ,733 2 .1 8 90 0 .7 9 7,427 7 5.2 3 ,281 2 .5 - Male 6 9,815 1 4,345 2 0.5 1 ,845 2 .6 5 44 0 .8 5 1,391 7 3.6 1 ,690 2 .4 - Female 5 9,679 1 0,824 1 8.1 8 88 1 .5 3 46 0 .6 4 6,031 7 7.1 1 ,590 2 .7 - MARSABIT 4 09,629 1 08,132 2 6.4 2 5,727 6 .3 1 2,494 3 .1 2 59,725 6 3.4 3 ,335 0 .8 2 16 Male 2 15,220 5 5,636 2 5.9 1 6,016 7 .4 7 ,160 3 .3 1 34,525 6 2.5 1 ,773 0 .8 1 10 Female 1 94,392 5 2,492 2 7.0 9 ,711 5 .0 5 ,334 2 .7 1 25,190 6 4.4 1 ,559 0 .8 1 06 18

Page 32

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number LOIYANGALANI 3 1,574 6 ,673 2 1.1 9 64 3 .1 6 34 2 .0 2 3,141 7 3.3 1 62 0 .5 - Male 1 5,401 3 ,177 2 0.6 6 65 4 .3 3 13 2 .0 1 1,165 7 2.5 8 1 0 .5 - Female 1 6,171 3 ,495 2 1.6 2 99 1 .8 3 21 2 .0 1 1,975 7 4.1 8 1 0 .5 - MARSABIT CENTRAL 7 1,619 2 7,959 3 9.0 1 0,705 1 4.9 4 ,347 6 .1 2 7,481 3 8.4 1 ,127 1 .6 - Male 3 6,892 1 4,078 3 8.2 6 ,237 1 6.9 2 ,487 6 .7 1 3,490 3 6.6 6 00 1 .6 - Female 3 4,716 1 3,879 4 0.0 4 ,468 1 2.9 1 ,860 5 .4 1 3,985 4 0.3 5 24 1 .5 - MARSABIT NORTH 4 5,650 1 0,319 2 2.6 1 ,294 2 .8 6 63 1 .5 3 3,120 7 2.6 2 54 0 .6 - Male 2 4,849 5 ,133 2 0.7 8 44 3 .4 3 98 1 .6 1 8,336 7 3.8 1 38 0 .6 - Female 2 0,800 5 ,186 2 4.9 4 50 2 .2 2 65 1 .3 1 4,783 7 1.1 1 16 0 .6 - MARSABIT SOUTH 5 9,493 1 1,620 1 9.5 2 ,332 3 .9 1 ,036 1 .7 4 4,228 7 4.3 2 66 0 .4 1 1 Male 3 0,146 5 ,659 1 8.8 1 ,515 5 .0 5 22 1 .7 2 2,303 7 4.0 1 41 0 .5 6 Female 2 9,347 5 ,961 2 0.3 8 17 2 .8 5 14 1 .8 2 1,925 7 4.7 1 25 0 .4 5 MOYALE 9 7,766 3 2,258 3 3.0 6 ,761 6 .9 4 ,004 4 .1 5 4,087 5 5.3 6 45 0 .7 1 1 Male 5 0,613 1 7,428 3 4.4 4 ,279 8 .5 2 ,311 4 .6 2 6,273 5 1.9 3 16 0 .6 6 Female 4 7,152 1 4,830 3 1.5 2 ,482 5 .3 1 ,693 3 .6 2 7,813 5 9.0 3 29 0 .7 5 NORTH HORR 6 2,863 6 ,587 1 0.5 1 ,355 2 .2 4 67 0 .7 5 3,912 8 5.8 3 54 0 .6 1 88 Male 3 5,980 3 ,481 9 .7 9 75 2 .7 3 35 0 .9 3 0,884 8 5.8 2 10 0 .6 9 5 Female 2 6,881 3 ,105 1 1.6 3 80 1 .4 1 32 0 .5 2 3,027 8 5.7 1 44 0 .5 9 3 SOLOLO 4 0,664 1 2,716 3 1.3 2 ,316 5 .7 1 ,343 3 .3 2 3,756 5 8.4 5 27 1 .3 6 Male 2 1,339 6 ,680 3 1.3 1 ,501 7 .0 7 94 3 .7 1 2,074 5 6.6 2 87 1 .3 3 Female 1 9,325 6 ,036 3 1.2 8 15 4 .2 5 49 2 .8 1 1,682 6 0.5 2 40 1 .2 3 ISIOLO 2 45,462 7 9,881 3 2.5 3 4,817 1 4.2 1 4,485 5 .9 1 14,759 4 6.8 1 ,483 0 .6 3 7 Male 1 28,141 4 0,960 3 2.0 1 9,823 1 5.5 7 ,599 5 .9 5 8,852 4 5.9 8 86 0 .7 2 1 Female 1 17,317 3 8,920 3 3.2 1 4,994 1 2.8 6 ,886 5 .9 5 5,904 4 7.7 5 97 0 .5 1 6 GARBATULLA 9 2,227 2 5,147 2 7.3 6 ,186 6 .7 2 ,946 3 .2 5 7,317 6 2.1 6 19 0 .7 1 2 Male 5 0,808 1 3,233 2 6.0 3 ,875 7 .6 1 ,721 3 .4 3 1,581 6 2.2 3 90 0 .8 8 Female 4 1,418 1 1,914 2 8.8 2 ,311 5 .6 1 ,225 3 .0 2 5,735 6 2.1 2 29 0 .6 4 ISIOLO 1 10,631 4 1,522 3 7.5 2 5,668 2 3.2 9 ,942 9 .0 3 2,798 2 9.6 6 76 0 .6 2 5 Male 5 5,148 2 1,157 3 8.4 1 4,100 2 5.6 4 ,967 9 .0 1 4,530 2 6.3 3 81 0 .7 1 3 Female 5 5,483 2 0,365 3 6.7 1 1,568 2 0.8 4 ,975 9 .0 1 8,268 3 2.9 2 95 0 .5 1 2 MERTI 4 2,604 1 3,212 3 1.0 2 ,963 7 .0 1 ,597 3 .7 2 4,644 5 7.8 1 88 0 .4 - Male 2 2,185 6 ,570 2 9.6 1 ,848 8 .3 9 11 4 .1 1 2,741 5 7.4 1 15 0 .5 - Female 2 0,416 6 ,641 3 2.5 1 ,115 5 .5 6 86 3 .4 1 1,901 5 8.3 7 3 0 .4 - MERU 1 ,436,400 5 54,475 3 8.6 3 60,142 2 5.1 3 01,441 2 1.0 2 05,961 1 4.3 1 3,999 1 .0 3 82 Male 7 11,224 2 77,202 3 9.0 1 79,720 2 5.3 1 53,600 2 1.6 9 2,010 1 2.9 8 ,488 1 .2 2 04 Female 7 25,139 2 77,259 3 8.2 1 80,414 2 4.9 1 47,834 2 0.4 1 13,943 1 5.7 5 ,511 0 .8 1 78 19

Page 33

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number BUURI EAST 7 1,784 2 5,158 3 5.0 2 6,395 3 6.8 1 3,320 1 8.6 6 ,405 8 .9 4 74 0 .7 3 2 Male 3 5,691 1 2,796 3 5.9 1 3,183 3 6.9 6 ,793 1 9.0 2 ,551 7 .1 3 50 1 .0 1 8 Female 3 6,093 1 2,362 3 4.3 1 3,212 3 6.6 6 ,527 1 8.1 3 ,854 1 0.7 1 24 0 .3 1 4 BUURI WEST 7 5,344 2 6,396 3 5.0 2 8,001 3 7.2 1 4,238 1 8.9 6 ,250 8 .3 4 51 0 .6 8 Male 3 7,726 1 3,326 3 5.3 1 4,054 3 7.3 7 ,255 1 9.2 2 ,784 7 .4 3 04 0 .8 3 Female 3 7,616 1 3,070 3 4.7 1 3,945 3 7.1 6 ,983 1 8.6 3 ,466 9 .2 1 47 0 .4 5 IGEMBE CENTRAL 2 04,412 8 4,771 4 1.5 2 4,445 1 2.0 5 0,589 2 4.7 4 1,948 2 0.5 2 ,617 1 .3 4 2 Male 1 02,059 4 2,142 4 1.3 1 2,198 1 2.0 2 6,267 2 5.7 1 9,844 1 9.4 1 ,586 1 .6 2 2 Female 1 02,349 4 2,628 4 1.6 1 2,247 1 2.0 2 4,320 2 3.8 2 2,103 2 1.6 1 ,031 1 .0 2 0 IGEMBE NORTH 1 56,536 6 6,151 4 2.3 1 6,939 1 0.8 2 9,927 1 9.1 4 1,455 2 6.5 2 ,014 1 .3 5 0 Male 7 6,912 3 2,652 4 2.5 8 ,458 1 1.0 1 5,242 1 9.8 1 9,353 2 5.2 1 ,179 1 .5 2 8 Female 7 9,620 3 3,496 4 2.1 8 ,481 1 0.7 1 4,685 1 8.4 2 2,101 2 7.8 8 35 1 .0 2 2 IGEMBE SOUTH 1 49,522 5 6,443 3 7.7 2 6,006 1 7.4 3 7,957 2 5.4 2 6,764 1 7.9 2 ,296 1 .5 5 6 Male 7 4,030 2 7,641 3 7.3 1 2,675 1 7.1 1 9,443 2 6.3 1 2,779 1 7.3 1 ,462 2 .0 3 0 Female 7 5,484 2 8,799 3 8.2 1 3,331 1 7.7 1 8,512 2 4.5 1 3,982 1 8.5 8 34 1 .1 2 6 IMENTI NORTH 1 62,829 5 5,511 3 4.1 7 0,530 4 3.3 2 5,379 1 5.6 1 0,294 6 .3 1 ,061 0 .7 5 4 Male 8 0,497 2 7,661 3 4.4 3 5,275 4 3.8 1 2,726 1 5.8 4 ,141 5 .1 6 60 0 .8 3 4 Female 8 2,328 2 7,849 3 3.8 3 5,252 4 2.8 1 2,653 1 5.4 6 ,153 7 .5 4 01 0 .5 2 0 IMENTI SOUTH 1 93,742 6 7,801 3 5.0 6 5,743 3 3.9 4 3,429 2 2.4 1 5,235 7 .9 1 ,517 0 .8 1 7 Male 9 6,744 3 4,365 3 5.5 3 2,750 3 3.9 2 2,385 2 3.1 6 ,375 6 .6 8 61 0 .9 8 Female 9 6,993 3 3,434 3 4.5 3 2,992 3 4.0 2 1,042 2 1.7 8 ,860 9 .1 6 56 0 .7 9 MERU CENTRAL 1 25,670 4 4,995 3 5.8 4 4,593 3 5.5 2 4,179 1 9.2 1 1,085 8 .8 7 67 0 .6 5 1 Male 6 2,757 2 2,798 3 6.3 2 2,862 3 6.4 1 2,397 1 9.8 4 ,212 6 .7 4 63 0 .7 2 5 Female 6 2,910 2 2,197 3 5.3 2 1,729 3 4.5 1 1,781 1 8.7 6 ,873 1 0.9 3 04 0 .5 2 6 TIGANIA CENTRAL 9 7,405 4 1,347 4 2.4 1 6,145 1 6.6 2 3,752 2 4.4 1 5,311 1 5.7 8 47 0 .9 3 Male 4 8,073 2 0,788 4 3.2 8 ,154 1 7.0 1 1,944 2 4.8 6 ,693 1 3.9 4 92 1 .0 2 Female 4 9,332 2 0,559 4 1.7 7 ,991 1 6.2 1 1,808 2 3.9 8 ,618 1 7.5 3 55 0 .7 1 TIGANIA EAST 6 7,622 2 9,551 4 3.7 1 1,368 1 6.8 1 1,938 1 7.7 1 3,941 2 0.6 7 69 1 .1 5 5 Male 3 2,914 1 4,531 4 4.1 5 ,713 1 7.4 5 ,873 1 7.8 6 ,350 1 9.3 4 18 1 .3 2 9 Female 3 4,705 1 5,018 4 3.3 5 ,655 1 6.3 6 ,065 1 7.5 7 ,590 2 1.9 3 51 1 .0 2 6 TIGANIA WEST 1 30,798 5 6,289 4 3.0 2 9,571 2 2.6 2 6,565 2 0.3 1 7,173 1 3.1 1 ,186 0 .9 1 4 Male 6 3,209 2 8,468 4 5.0 1 4,059 2 2.2 1 3,125 2 0.8 6 ,839 1 0.8 7 13 1 .1 5 Female 6 7,585 2 7,819 4 1.2 1 5,512 2 3.0 1 3,440 1 9.9 1 0,332 1 5.3 4 73 0 .7 9 MERU NATIONAL PARK 2 94 4 4 1 5.0 2 29 7 7.9 6 2 .0 1 5 5 .1 - - - Male 2 19 2 1 9 .6 1 84 8 4.0 5 2 .3 9 4 .1 - - - Female 7 5 2 3 3 0.7 4 5 6 0.0 1 1 .3 6 8 .0 - - - MT. KENYA FOREST 4 42 1 8 4 .1 1 77 4 0.0 1 62 3 6.7 8 5 1 9.2 - - - Male 3 93 1 3 3 .3 1 55 3 9.4 1 45 3 6.9 8 0 2 0.4 - - - Female 4 9 5 1 0.2 2 2 4 4.9 1 7 3 4.7 5 1 0.2 - - - 20

Page 34

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number THARAKA-NITHI 3 67,574 1 44,933 3 9.4 9 6,834 2 6.3 8 2,897 2 2.6 3 9,296 1 0.7 3 ,543 1 .0 7 1 Male 1 80,692 7 3,509 4 0.7 4 8,177 2 6.7 4 0,913 2 2.6 1 6,089 8 .9 1 ,966 1 .1 3 8 Female 1 86,875 7 1,422 3 8.2 4 8,655 2 6.0 4 1,983 2 2.5 2 3,205 1 2.4 1 ,577 0 .8 3 3 IGAMBANG’OMBE 4 9,368 2 0,369 4 1.3 9 ,492 1 9.2 1 3,284 2 6.9 5 ,664 1 1.5 5 44 1 .1 1 5 Male 2 4,367 1 0,393 4 2.7 4 ,749 1 9.5 6 ,639 2 7.2 2 ,257 9 .3 3 20 1 .3 9 Female 2 5,000 9 ,976 3 9.9 4 ,743 1 9.0 6 ,644 2 6.6 3 ,407 1 3.6 2 24 0 .9 6 MAARA 1 08,517 3 7,866 3 4.9 3 6,716 3 3.8 2 5,656 2 3.6 7 ,384 6 .8 8 82 0 .8 1 3 Male 5 4,491 1 9,356 3 5.5 1 8,647 3 4.2 1 2,805 2 3.5 3 ,192 5 .9 4 85 0 .9 6 Female 5 4,026 1 8,510 3 4.3 1 8,069 3 3.4 1 2,851 2 3.8 4 ,192 7 .8 3 97 0 .7 7 MERU SOUTH 8 5,236 3 0,872 3 6.2 2 9,636 3 4.8 1 8,458 2 1.7 5 ,550 6 .5 6 99 0 .8 2 1 Male 4 1,988 1 5,688 3 7.4 1 4,662 3 4.9 9 ,028 2 1.5 2 ,180 5 .2 4 20 1 .0 1 0 Female 4 3,246 1 5,183 3 5.1 1 4,973 3 4.6 9 ,430 2 1.8 3 ,370 7 .8 2 79 0 .6 1 1 THARAKA NORTH 5 4,321 2 3,967 4 4.1 7 ,847 1 4.4 1 0,367 1 9.1 1 0,996 2 0.2 1 ,127 2 .1 1 7 Male 2 6,290 1 2,019 4 5.7 3 ,891 1 4.8 5 ,124 1 9.5 4 ,679 1 7.8 5 67 2 .2 1 0 Female 2 8,029 1 1,947 4 2.6 3 ,956 1 4.1 5 ,243 1 8.7 6 ,316 2 2.5 5 60 2 .0 7 THARAKA SOUTH 6 9,972 3 1,795 4 5.4 1 3,065 1 8.7 1 5,120 2 1.6 9 ,696 1 3.9 2 91 0 .4 5 Male 3 3,482 1 6,040 4 7.9 6 ,177 1 8.4 7 ,310 2 1.8 3 ,778 1 1.3 1 74 0 .5 3 Female 3 6,488 1 5,755 4 3.2 6 ,887 1 8.9 7 ,810 2 1.4 5 ,917 1 6.2 1 17 0 .3 2 MT. KENYA FOREST 1 60 6 4 4 0.0 7 8 4 8.8 1 2 7 .5 6 3 .8 - - - Male 7 4 1 3 1 7.6 5 1 6 8.9 7 9 .5 3 4 .1 - - - Female 8 6 5 1 5 9.3 2 7 3 1.4 5 5 .8 3 3 .5 - - - EMBU 5 68,228 2 05,389 3 6.1 1 80,500 3 1.8 1 31,329 2 3.1 4 8,555 8 .5 2 ,404 0 .4 5 1 Male 2 83,024 1 04,132 3 6.8 9 0,744 3 2.1 6 7,774 2 3.9 1 8,822 6 .7 1 ,530 0 .5 2 2 Female 2 85,182 1 01,251 3 5.5 8 9,746 3 1.5 6 3,552 2 2.3 2 9,730 1 0.4 8 74 0 .3 2 9 EMBU EAST 1 22,079 4 1,231 3 3.8 3 8,387 3 1.4 3 1,506 2 5.8 1 0,483 8 .6 4 69 0 .4 3 Male 6 0,807 2 0,990 3 4.5 1 9,236 3 1.6 1 6,193 2 6.6 4 ,112 6 .8 2 75 0 .5 1 Female 6 1,270 2 0,240 3 3.0 1 9,150 3 1.3 1 5,313 2 5.0 6 ,371 1 0.4 1 94 0 .3 2 EMBU NORTH 7 5,194 2 5,255 3 3.6 2 4,666 3 2.8 1 8,336 2 4.4 6 ,717 8 .9 2 16 0 .3 4 Male 3 7,443 1 3,147 3 5.1 1 2,344 3 3.0 9 ,327 2 4.9 2 ,497 6 .7 1 27 0 .3 1 Female 3 7,748 1 2,108 3 2.1 1 2,321 3 2.6 9 ,009 2 3.9 4 ,218 1 1.2 8 9 0 .2 3 EMBU WEST 1 16,797 3 8,642 3 3.1 4 7,698 4 0.8 2 2,991 1 9.7 6 ,955 6 .0 5 02 0 .4 9 Male 5 7,297 1 9,180 3 3.5 2 3,246 4 0.6 1 1,853 2 0.7 2 ,699 4 .7 3 14 0 .5 5 Female 5 9,491 1 9,461 3 2.7 2 4,447 4 1.1 1 1,135 1 8.7 4 ,256 7 .2 1 88 0 .3 4 MBEERE SOUTH 1 52,697 5 8,147 3 8.1 4 5,348 2 9.7 3 4,852 2 2.8 1 3,558 8 .9 7 62 0 .5 3 0 Male 7 7,699 2 9,539 3 8.0 2 3,666 3 0.5 1 8,558 2 3.9 5 ,383 6 .9 5 39 0 .7 1 4 Female 7 4,993 2 8,606 3 8.1 2 1,679 2 8.9 1 6,294 2 1.7 8 ,175 1 0.9 2 23 0 .3 1 6 MBEERE NORTH 1 01,440 4 2,114 4 1.5 2 4,381 2 4.0 2 3,643 2 3.3 1 0,842 1 0.7 4 55 0 .4 5 Male 4 9,760 2 1,276 4 2.8 1 2,235 2 4.6 1 1,842 2 3.8 4 ,131 8 .3 2 75 0 .6 1 Female 5 1,677 2 0,836 4 0.3 1 2,146 2 3.5 1 1,801 2 2.8 6 ,710 1 3.0 1 80 0 .3 4 MT. KENYA FOREST 2 1 - - 2 0 9 5.2 1 4 .8 - - - - - Male 1 8 - - 1 7 9 4.4 1 5 .6 - - - - - Female 3 - - 3 1 00.0 - - - - - - - 21

Page 35

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number KITUI 1 ,056,907 4 90,726 4 6.4 2 65,238 2 5.1 1 52,030 1 4.4 1 36,969 1 3.0 1 1,795 1 .1 1 49 Male 5 08,247 2 50,178 4 9.2 1 27,266 2 5.0 7 2,606 1 4.3 5 1,705 1 0.2 6 ,431 1 .3 6 1 Female 5 48,634 2 40,536 4 3.8 1 37,968 2 5.1 7 9,419 1 4.5 8 5,259 1 5.5 5 ,364 1 .0 8 8 IKUTHA 7 7,563 3 9,676 5 1.2 1 5,378 1 9.8 1 1,877 1 5.3 9 ,400 1 2.1 1 ,229 1 .6 3 Male 3 7,282 2 0,339 5 4.6 7 ,295 1 9.6 5 ,630 1 5.1 3 ,409 9 .1 6 07 1 .6 2 Female 4 0,281 1 9,337 4 8.0 8 ,083 2 0.1 6 ,247 1 5.5 5 ,991 1 4.9 6 22 1 .5 1 KATULANI 4 4,328 1 8,641 4 2.1 1 3,632 3 0.8 6 ,425 1 4.5 4 ,896 1 1.0 7 34 1 .7 - Male 2 1,770 9 ,635 4 4.3 6 ,804 3 1.3 3 ,163 1 4.5 1 ,756 8 .1 4 12 1 .9 - Female 2 2,557 9 ,006 3 9.9 6 ,828 3 0.3 3 ,261 1 4.5 3 ,140 1 3.9 3 22 1 .4 - KISASI 4 3,226 1 9,501 4 5.1 1 0,676 2 4.7 7 ,396 1 7.1 5 ,286 1 2.2 3 60 0 .8 7 Male 2 1,140 1 0,112 4 7.8 5 ,237 2 4.8 3 ,653 1 7.3 1 ,920 9 .1 2 17 1 .0 1 Female 2 2,086 9 ,389 4 2.5 5 ,439 2 4.6 3 ,743 1 6.9 3 ,366 1 5.2 1 43 0 .6 6 KITUI CENTRAL 9 7,406 3 9,644 4 0.7 3 5,837 3 6.8 1 3,394 1 3.8 7 ,671 7 .9 8 52 0 .9 8 Male 4 7,435 2 0,082 4 2.3 1 7,446 3 6.8 6 ,621 1 4.0 2 ,811 5 .9 4 71 1 .0 4 Female 4 9,968 1 9,562 3 9.1 1 8,390 3 6.8 6 ,772 1 3.6 4 ,859 9 .7 3 81 0 .8 4 KITUI WEST 6 6,202 2 9,215 4 4.1 2 1,826 3 3.0 8 ,742 1 3.2 5 ,922 8 .9 4 97 0 .8 - Male 3 1,558 1 4,933 4 7.3 1 0,062 3 1.9 4 ,257 1 3.5 2 ,024 6 .4 2 82 0 .9 - Female 3 4,643 1 4,281 4 1.2 1 1,764 3 4.0 4 ,485 1 2.9 3 ,898 1 1.3 2 15 0 .6 - KYUSO 7 1,052 3 4,600 4 8.7 1 2,965 1 8.2 1 1,286 1 5.9 1 1,140 1 5.7 1 ,053 1 .5 8 Male 3 3,864 1 7,508 5 1.7 6 ,135 1 8.1 5 ,292 1 5.6 4 ,367 1 2.9 5 60 1 .7 2 Female 3 7,187 1 7,091 4 6.0 6 ,830 1 8.4 5 ,994 1 6.1 6 ,773 1 8.2 4 93 1 .3 6 LOWER YATTA 5 9,184 2 6,585 4 4.9 1 4,826 2 5.1 9 ,950 1 6.8 6 ,806 1 1.5 1 ,011 1 .7 6 Male 2 9,535 1 3,784 4 6.7 7 ,458 2 5.3 5 ,045 1 7.1 2 ,692 9 .1 5 55 1 .9 1 Female 2 9,649 1 2,801 4 3.2 7 ,368 2 4.9 4 ,905 1 6.5 4 ,114 1 3.9 4 56 1 .5 5 MATINYANI 4 4,779 1 9,193 4 2.9 1 4,153 3 1.6 6 ,715 1 5.0 4 ,437 9 .9 2 81 0 .6 - Male 2 1,869 9 ,909 4 5.3 6 ,897 3 1.5 3 ,394 1 5.5 1 ,484 6 .8 1 85 0 .8 - Female 2 2,909 9 ,284 4 0.5 7 ,255 3 1.7 3 ,321 1 4.5 2 ,953 1 2.9 9 6 0 .4 - MIGWANI 7 3,803 3 3,664 4 5.6 2 3,025 3 1.2 8 ,964 1 2.1 7 ,271 9 .9 8 55 1 .2 2 4 Male 3 4,807 1 7,222 4 9.5 1 0,355 2 9.7 4 ,174 1 2.0 2 ,596 7 .5 4 47 1 .3 1 3 Female 3 8,993 1 6,440 4 2.2 1 2,669 3 2.5 4 ,790 1 2.3 4 ,675 1 2.0 4 08 1 .0 1 1 MUMONI 2 7,319 1 3,808 5 0.5 4 ,787 1 7.5 4 ,817 1 7.6 3 ,647 1 3.3 2 58 0 .9 2 Male 1 2,732 6 ,857 5 3.9 2 ,213 1 7.4 2 ,126 1 6.7 1 ,399 1 1.0 1 35 1 .1 2 Female 1 4,587 6 ,951 4 7.7 2 ,574 1 7.6 2 ,691 1 8.4 2 ,248 1 5.4 1 23 0 .8 - MUTITU 5 1,464 2 5,958 5 0.4 8 ,943 1 7.4 6 ,259 1 2.2 9 ,577 1 8.6 6 78 1 .3 4 9 Male 2 4,422 1 3,084 5 3.6 4 ,347 1 7.8 2 ,920 1 2.0 3 ,695 1 5.1 3 55 1 .5 2 1 Female 2 7,040 1 2,872 4 7.6 4 ,596 1 7.0 3 ,339 1 2.3 5 ,882 2 1.8 3 23 1 .2 2 8 MUTITU NORTH 1 9,815 9 ,275 4 6.8 4 ,869 2 4.6 2 ,857 1 4.4 2 ,657 1 3.4 1 52 0 .8 5 Male 9 ,620 4 ,763 4 9.5 2 ,437 2 5.3 1 ,354 1 4.1 9 62 1 0.0 1 01 1 .0 3 Female 1 0,194 4 ,511 4 4.3 2 ,432 2 3.9 1 ,503 1 4.7 1 ,695 1 6.6 5 1 0 .5 2 MUTOMO 1 05,422 5 1,247 4 8.6 2 1,277 2 0.2 1 4,541 1 3.8 1 7,523 1 6.6 8 28 0 .8 6 Male 5 0,656 2 5,989 5 1.3 1 0,464 2 0.7 6 ,943 1 3.7 6 ,776 1 3.4 4 80 0 .9 4 Female 5 4,761 2 5,256 4 6.1 1 0,813 1 9.7 7 ,597 1 3.9 1 0,745 1 9.6 3 48 0 .6 2 22

Page 36

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number MWINGI CENTRAL 1 00,501 4 6,035 4 5.8 2 6,978 2 6.8 1 3,360 1 3.3 1 3,107 1 3.0 1 ,007 1 .0 1 4 Male 4 8,132 2 3,501 4 8.8 1 2,588 2 6.2 6 ,252 1 3.0 5 ,242 1 0.9 5 45 1 .1 4 Female 5 2,369 2 2,534 4 3.0 1 4,390 2 7.5 7 ,108 1 3.6 7 ,865 1 5.0 4 62 0 .9 1 0 MWINGI EAST 7 9,205 3 9,172 4 9.5 1 4,419 1 8.2 1 0,957 1 3.8 1 3,537 1 7.1 1 ,103 1 .4 1 7 Male 3 7,382 1 9,856 5 3.1 6 ,738 1 8.0 4 ,941 1 3.2 5 ,281 1 4.1 5 62 1 .5 4 Female 4 1,818 1 9,314 4 6.2 7 ,680 1 8.4 6 ,015 1 4.4 8 ,255 1 9.7 5 41 1 .3 1 3 NZAMBANI 4 3,682 1 9,051 4 3.6 1 2,982 2 9.7 6 ,592 1 5.1 4 ,717 1 0.8 3 40 0 .8 - Male 2 1,356 9 ,831 4 6.0 6 ,486 3 0.4 3 ,137 1 4.7 1 ,716 8 .0 1 86 0 .9 - Female 2 2,324 9 ,220 4 1.3 6 ,496 2 9.1 3 ,454 1 5.5 3 ,000 1 3.4 1 54 0 .7 - THAGICU 1 4,025 6 ,905 4 9.2 2 ,593 1 8.5 2 ,280 1 6.3 2 ,182 1 5.6 6 5 0 .5 - Male 6 ,591 3 ,457 5 2.5 1 ,210 1 8.4 1 ,078 1 6.4 8 10 1 2.3 3 6 0 .5 - Female 7 ,433 3 ,447 4 6.4 1 ,383 1 8.6 1 ,202 1 6.2 1 ,372 1 8.5 2 9 0 .4 - TSEIKURU 3 7,931 1 8,556 4 8.9 6 ,072 1 6.0 5 ,618 1 4.8 7 ,193 1 9.0 4 92 1 .3 - Male 1 8,096 9 ,316 5 1.5 3 ,094 1 7.1 2 ,626 1 4.5 2 ,765 1 5.3 2 95 1 .6 - Female 1 9,835 9 ,240 4 6.6 2 ,978 1 5.0 2 ,992 1 5.1 4 ,428 2 2.3 1 97 1 .0 - MACHAKOS 1 ,327,172 5 05,677 3 8.1 5 19,446 3 9.1 2 03,283 1 5.3 8 6,929 6 .5 1 1,638 0 .9 1 99 Male 6 61,982 2 58,981 3 9.1 2 62,961 3 9.7 9 9,048 1 5.0 3 4,692 5 .2 6 ,197 0 .9 1 03 Female 6 65,162 2 46,686 3 7.1 2 56,474 3 8.6 1 04,232 1 5.7 5 2,234 7 .9 5 ,440 0 .8 9 6 ATHI RIVER 2 95,790 9 8,497 3 3.3 1 51,215 5 1.1 3 2,500 1 1.0 1 0,789 3 .6 2 ,662 0 .9 1 27 Male 1 50,511 4 9,337 3 2.8 7 8,486 5 2.1 1 5,929 1 0.6 5 ,253 3 .5 1 ,441 1 .0 6 5 Female 1 45,277 4 9,159 3 3.8 7 2,729 5 0.1 1 6,571 1 1.4 5 ,535 3 .8 1 ,221 0 .8 6 2 KALAMA 5 1,542 1 9,779 3 8.4 1 9,205 3 7.3 6 ,915 1 3.4 5 ,181 1 0.1 4 61 0 .9 1 Male 2 5,273 1 0,196 4 0.3 9 ,565 3 7.8 3 ,216 1 2.7 2 ,066 8 .2 2 29 0 .9 1 Female 2 6,264 9 ,582 3 6.5 9 ,636 3 6.7 3 ,699 1 4.1 3 ,115 1 1.9 2 32 0 .9 - KANGUNDO 9 2,505 3 5,182 3 8.0 3 4,196 3 7.0 1 7,672 1 9.1 5 ,041 5 .4 4 12 0 .4 2 Male 4 5,935 1 8,188 3 9.6 1 7,431 3 7.9 8 ,242 1 7.9 1 ,855 4 .0 2 18 0 .5 1 Female 4 6,569 1 6,994 3 6.5 1 6,765 3 6.0 9 ,429 2 0.2 3 ,186 6 .8 1 94 0 .4 1 KATHIANI 1 05,562 4 2,712 4 0.5 3 6,686 3 4.8 1 8,540 1 7.6 6 ,877 6 .5 7 34 0 .7 1 3 Male 5 1,709 2 2,119 4 2.8 1 8,110 3 5.0 8 ,618 1 6.7 2 ,445 4 .7 4 11 0 .8 6 Female 5 3,849 2 0,591 3 8.2 1 8,575 3 4.5 9 ,921 1 8.4 4 ,432 8 .2 3 23 0 .6 7 MACHAKOS 1 58,036 5 4,322 3 4.4 7 5,229 4 7.6 1 9,480 1 2.3 7 ,820 4 .9 1 ,170 0 .7 1 5 Male 7 8,763 2 7,561 3 5.0 3 7,985 4 8.2 9 ,600 1 2.2 3 ,024 3 .8 5 84 0 .7 9 Female 7 9,267 2 6,758 3 3.8 3 7,241 4 7.0 9 ,880 1 2.5 4 ,796 6 .1 5 86 0 .7 6 MASINGA 1 38,933 5 9,688 4 3.0 3 8,008 2 7.4 2 6,094 1 8.8 1 3,506 9 .7 1 ,621 1 .2 1 6 Male 6 8,657 3 0,933 4 5.1 1 8,453 2 6.9 1 2,995 1 8.9 5 ,404 7 .9 8 63 1 .3 9 Female 7 0,274 2 8,754 4 0.9 1 9,555 2 7.8 1 3,098 1 8.6 8 ,102 1 1.5 7 58 1 .1 7 MATUNGULU 1 51,535 5 8,093 3 8.3 5 6,185 3 7.1 2 6,731 1 7.6 8 ,879 5 .9 1 ,639 1 .1 8 Male 7 6,123 2 9,817 3 9.2 2 8,908 3 8.0 1 2,874 1 6.9 3 ,618 4 .8 9 04 1 .2 2 Female 7 5,408 2 8,274 3 7.5 2 7,276 3 6.2 1 3,857 1 8.4 5 ,261 7 .0 7 34 1 .0 6 MWALA 1 71,999 6 9,402 4 0.4 5 9,957 3 4.9 2 7,719 1 6.1 1 3,925 8 .1 9 85 0 .6 1 1 Male 8 5,399 3 6,048 4 2.2 2 9,913 3 5.0 1 3,803 1 6.2 5 ,114 6 .0 5 13 0 .6 8 Female 8 6,597 3 3,354 3 8.5 3 0,043 3 4.7 1 3,916 1 6.1 8 ,809 1 0.2 4 72 0 .5 3 23

Page 37

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number YATTA 1 61,270 6 8,002 4 2.2 4 8,765 3 0.2 2 7,632 1 7.1 1 4,911 9 .2 1 ,954 1 .2 6 Male 7 9,612 3 4,782 4 3.7 2 4,110 3 0.3 1 3,771 1 7.3 5 ,913 7 .4 1 ,034 1 .3 2 Female 8 1,657 3 3,220 4 0.7 2 4,654 3 0.2 1 3,861 1 7.0 8 ,998 1 1.0 9 20 1 .1 4 MAKUENI 9 21,168 3 95,627 4 2.9 2 76,206 3 0.0 1 65,325 1 7.9 7 1,509 7 .8 1 2,357 1 .3 1 44 Male 4 53,946 2 02,949 4 4.7 1 35,938 2 9.9 8 1,353 1 7.9 2 6,987 5 .9 6 ,657 1 .5 6 2 Female 4 67,204 1 92,669 4 1.2 1 40,265 3 0.0 8 3,969 1 8.0 4 4,519 9 .5 5 ,700 1 .2 8 2 KATHONZWENI 7 4,893 3 3,164 4 4.3 2 1,495 2 8.7 1 2,469 1 6.6 6 ,114 8 .2 1 ,647 2 .2 4 Male 3 6,846 1 7,094 4 6.4 1 0,424 2 8.3 6 ,164 1 6.7 2 ,307 6 .3 8 55 2 .3 2 Female 3 8,044 1 6,069 4 2.2 1 1,070 2 9.1 6 ,304 1 6.6 3 ,807 1 0.0 7 92 2 .1 2 KIBWEZI 1 82,688 8 2,524 4 5.2 4 6,652 2 5.5 3 4,188 1 8.7 1 6,731 9 .2 2 ,573 1 .4 2 0 Male 9 0,350 4 2,482 4 7.0 2 3,054 2 5.5 1 6,761 1 8.6 6 ,608 7 .3 1 ,437 1 .6 8 Female 9 2,334 4 0,039 4 3.4 2 3,597 2 5.6 1 7,427 1 8.9 1 0,123 1 1.0 1 ,136 1 .2 1 2 KILUNGU 5 7,412 2 5,498 4 4.4 1 7,145 2 9.9 9 ,870 1 7.2 4 ,293 7 .5 5 93 1 .0 1 3 Male 2 7,241 1 2,802 4 7.0 8 ,021 2 9.4 4 ,614 1 6.9 1 ,537 5 .6 2 61 1 .0 6 Female 3 0,170 1 2,696 4 2.1 9 ,124 3 0.2 5 ,255 1 7.4 2 ,756 9 .1 3 32 1 .1 7 MAKINDU 7 8,427 3 3,771 4 3.1 2 3,198 2 9.6 1 3,632 1 7.4 6 ,705 8 .5 1 ,094 1 .4 2 7 Male 3 8,462 1 7,300 4 5.0 1 1,232 2 9.2 6 ,669 1 7.3 2 ,643 6 .9 6 07 1 .6 1 1 Female 3 9,965 1 6,471 4 1.2 1 1,966 2 9.9 6 ,963 1 7.4 4 ,062 1 0.2 4 87 1 .2 1 6 MAKUENI 1 21,484 4 8,433 3 9.9 4 3,475 3 5.8 2 0,754 1 7.1 7 ,656 6 .3 1 ,162 1 .0 4 Male 6 0,589 2 4,818 4 1.0 2 1,905 3 6.2 1 0,371 1 7.1 2 ,852 4 .7 6 42 1 .1 1 Female 6 0,893 2 3,613 3 8.8 2 1,570 3 5.4 1 0,383 1 7.1 4 ,804 7 .9 5 20 0 .9 3 MBOONI EAST 9 2,210 3 9,608 4 3.0 2 6,985 2 9.3 1 6,829 1 8.3 7 ,480 8 .1 1 ,305 1 .4 3 Male 4 5,311 2 0,632 4 5.5 1 3,134 2 9.0 8 ,175 1 8.0 2 ,633 5 .8 7 36 1 .6 1 Female 4 6,896 1 8,975 4 0.5 1 3,851 2 9.5 8 ,654 1 8.5 4 ,845 1 0.3 5 69 1 .2 2 MBOONI WEST 9 6,464 4 2,564 4 4.1 2 7,054 2 8.0 1 8,984 1 9.7 6 ,328 6 .6 1 ,526 1 .6 8 Male 4 6,405 2 1,819 4 7.0 1 2,650 2 7.3 8 ,935 1 9.3 2 ,246 4 .8 7 52 1 .6 3 Female 5 0,058 2 0,745 4 1.4 1 4,403 2 8.8 1 0,049 2 0.1 4 ,082 8 .2 7 74 1 .5 5 MUKAA 1 00,143 3 9,315 3 9.3 3 4,130 3 4.1 1 8,394 1 8.4 7 ,018 7 .0 1 ,254 1 .3 3 2 Male 5 0,574 2 0,066 3 9.7 1 7,528 3 4.7 9 ,435 1 8.7 2 ,821 5 .6 7 11 1 .4 1 3 Female 4 9,569 1 9,249 3 8.8 1 6,602 3 3.5 8 ,959 1 8.1 4 ,197 8 .5 5 43 1 .1 1 9 NZAUI 1 17,447 5 0,750 4 3.2 3 6,072 3 0.7 2 0,205 1 7.2 9 ,184 7 .8 1 ,203 1 .0 3 3 Male 5 8,168 2 5,936 4 4.6 1 7,990 3 0.9 1 0,229 1 7.6 3 ,340 5 .7 6 56 1 .1 1 7 Female 5 9,275 2 4,812 4 1.9 1 8,082 3 0.5 9 ,975 1 6.8 5 ,843 9 .9 5 47 0 .9 1 6 NYANDARUA 5 94,649 2 49,756 4 2.0 1 99,054 3 3.5 1 05,160 1 7.7 3 8,777 6 .5 1 ,836 0 .3 6 6 Male 2 92,917 1 28,283 4 3.8 9 8,748 3 3.7 5 0,160 1 7.1 1 4,653 5 .0 1 ,041 0 .4 3 2 Female 3 01,715 1 21,466 4 0.3 1 00,304 3 3.2 5 4,994 1 8.2 2 4,123 8 .0 7 95 0 .3 3 3 KINANGOP 1 03,793 4 3,363 4 1.8 3 3,354 3 2.1 1 9,541 1 8.8 7 ,351 7 .1 1 68 0 .2 1 6 Male 5 0,836 2 2,094 4 3.5 1 6,353 3 2.2 9 ,382 1 8.5 2 ,882 5 .7 1 16 0 .2 9 Female 5 2,953 2 1,268 4 0.2 1 7,000 3 2.1 1 0,158 1 9.2 4 ,468 8 .4 5 2 0 .1 7 24

Page 38

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number NYANDARUA SOUTH 8 7,189 3 7,199 4 2.7 2 9,986 3 4.4 1 4,567 1 6.7 5 ,251 6 .0 1 82 0 .2 4 Male 4 2,802 1 9,039 4 4.5 1 4,613 3 4.1 7 ,050 1 6.5 1 ,992 4 .7 1 06 0 .2 2 Female 4 4,384 1 8,158 4 0.9 1 5,373 3 4.6 7 ,516 1 6.9 3 ,259 7 .3 7 6 0 .2 2 MIRANGINE 6 2,731 2 6,957 4 3.0 1 9,491 3 1.1 1 1,511 1 8.3 4 ,621 7 .4 1 44 0 .2 7 Male 3 1,220 1 3,817 4 4.3 9 ,849 3 1.5 5 ,630 1 8.0 1 ,833 5 .9 8 8 0 .3 3 Female 3 1,510 1 3,139 4 1.7 9 ,642 3 0.6 5 ,881 1 8.7 2 ,788 8 .8 5 6 0 .2 4 KIPIPIRI 8 7,881 3 8,278 4 3.6 2 7,710 3 1.5 1 5,268 1 7.4 6 ,377 7 .3 2 34 0 .3 1 4 Male 4 3,161 1 9,577 4 5.4 1 3,860 3 2.1 7 ,302 1 6.9 2 ,298 5 .3 1 18 0 .3 6 Female 4 4,718 1 8,701 4 1.8 1 3,850 3 1.0 7 ,964 1 7.8 4 ,079 9 .1 1 16 0 .3 8 NYANDARUA CENTRAL 6 9,596 2 8,484 4 0.9 2 3,605 3 3.9 1 2,828 1 8.4 4 ,400 6 .3 2 70 0 .4 9 Male 3 4,508 1 4,750 4 2.7 1 1,848 3 4.3 6 ,081 1 7.6 1 ,658 4 .8 1 66 0 .5 5 Female 3 5,087 1 3,733 3 9.1 1 1,757 3 3.5 6 ,747 1 9.2 2 ,742 7 .8 1 04 0 .3 4 NYANDARUA WEST 9 1,217 3 7,017 4 0.6 3 1,439 3 4.5 1 7,344 1 9.0 5 ,061 5 .5 3 52 0 .4 4 Male 4 5,240 1 9,269 4 2.6 1 5,651 3 4.6 8 ,221 1 8.2 1 ,908 4 .2 1 90 0 .4 1 Female 4 5,973 1 7,746 3 8.6 1 5,788 3 4.3 9 ,121 1 9.8 3 ,153 6 .9 1 62 0 .4 3 NYANDARUA NORTH 9 2,228 3 8,458 4 1.7 3 3,455 3 6.3 1 4,101 1 5.3 5 ,716 6 .2 4 86 0 .5 1 2 Male 4 5,140 1 9,737 4 3.7 1 6,564 3 6.7 6 ,494 1 4.4 2 ,082 4 .6 2 57 0 .6 6 Female 4 7,086 1 8,721 3 9.8 1 6,890 3 5.9 7 ,607 1 6.2 3 ,634 7 .7 2 29 0 .5 5 ABERDARE NATIONAL PARK 1 4 - - 1 4 1 00.0 - - - - - - - Male 1 0 - - 1 0 1 00.0 - - - - - - - Female 4 - - 4 1 00.0 - - - - - - - NYERI 7 09,353 2 53,898 3 5.8 3 01,927 4 2.6 1 13,307 1 6.0 3 6,036 5 .1 4 ,138 0 .6 4 7 Male 3 48,266 1 30,417 3 7.4 1 50,457 4 3.2 5 2,289 1 5.0 1 2,895 3 .7 2 ,180 0 .6 2 8 Female 3 61,061 1 23,475 3 4.2 1 51,460 4 1.9 6 1,009 1 6.9 2 3,140 6 .4 1 ,958 0 .5 1 9 TETU 7 5,931 2 6,827 3 5.3 3 2,415 4 2.7 1 2,312 1 6.2 4 ,121 5 .4 2 54 0 .3 2 Male 3 7,083 1 3,866 3 7.4 1 6,314 4 4.0 5 ,406 1 4.6 1 ,370 3 .7 1 26 0 .3 1 Female 3 8,846 1 2,961 3 3.4 1 6,099 4 1.4 6 ,906 1 7.8 2 ,751 7 .1 1 28 0 .3 1 KIENI EAST 1 02,812 3 7,003 3 6.0 4 4,148 4 2.9 1 6,204 1 5.8 5 ,012 4 .9 4 37 0 .4 8 Male 5 1,442 1 8,863 3 6.7 2 2,297 4 3.3 7 ,941 1 5.4 2 ,089 4 .1 2 46 0 .5 6 Female 5 1,366 1 8,139 3 5.3 2 1,850 4 2.5 8 ,261 1 6.1 2 ,923 5 .7 1 91 0 .4 2 KIENI WEST 8 2,829 3 1,845 3 8.4 3 3,177 4 0.1 1 2,931 1 5.6 4 ,335 5 .2 5 36 0 .6 5 Male 4 1,026 1 6,390 4 0.0 1 6,583 4 0.4 6 ,125 1 4.9 1 ,633 4 .0 2 92 0 .7 3 Female 4 1,798 1 5,455 3 7.0 1 6,590 3 9.7 6 ,805 1 6.3 2 ,702 6 .5 2 44 0 .6 2 MATHIRA EAST 9 3,027 3 3,214 3 5.7 3 9,579 4 2.5 1 5,655 1 6.8 4 ,026 4 .3 5 50 0 .6 3 Male 4 4,995 1 6,909 3 7.6 1 9,387 4 3.1 7 ,031 1 5.6 1 ,391 3 .1 2 76 0 .6 1 Female 4 8,029 1 6,305 3 3.9 2 0,192 4 2.0 8 ,621 1 7.9 2 ,635 5 .5 2 74 0 .6 2 MATHIRA WEST 5 6,676 1 9,857 3 5.0 2 3,194 4 0.9 1 0,677 1 8.8 2 ,723 4 .8 2 17 0 .4 8 Male 2 7,860 1 0,272 3 6.9 1 1,742 4 2.1 4 ,783 1 7.2 9 42 3 .4 1 18 0 .4 3 Female 2 8,813 9 ,585 3 3.3 1 1,450 3 9.7 5 ,893 2 0.5 1 ,781 6 .2 9 9 0 .3 5 NYERI SOUTH 8 5,827 3 0,669 3 5.7 3 5,818 4 1.7 1 3,494 1 5.7 5 ,441 6 .3 4 03 0 .5 2 Male 4 1,443 1 5,718 3 7.9 1 7,671 4 2.6 6 ,140 1 4.8 1 ,688 4 .1 2 25 0 .5 1 Female 4 4,383 1 4,950 3 3.7 1 8,147 4 0.9 7 ,354 1 6.6 3 ,753 8 .5 1 78 0 .4 1 25

Page 39

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number MUKURWE-INI 8 3,933 3 0,159 3 5.9 3 1,566 3 7.6 1 5,892 1 8.9 5 ,655 6 .7 6 57 0 .8 4 Male 4 1,386 1 5,861 3 8.3 1 5,909 3 8.4 7 ,390 1 7.9 1 ,883 4 .5 3 41 0 .8 2 Female 4 2,541 1 4,296 3 3.6 1 5,656 3 6.8 8 ,500 2 0.0 3 ,771 8 .9 3 16 0 .7 2 NYERI CENTRAL 1 28,041 4 4,275 3 4.6 6 1,841 4 8.3 1 6,110 1 2.6 4 ,716 3 .7 1 ,084 0 .8 1 5 Male 6 2,843 2 2,509 3 5.8 3 0,425 4 8.4 7 ,449 1 1.9 1 ,893 3 .0 5 56 0 .9 1 1 Female 6 5,196 2 1,764 3 3.4 3 1,416 4 8.2 8 ,661 1 3.3 2 ,823 4 .3 5 28 0 .8 4 MT. KENYA FOREST 1 78 4 4 2 4.7 1 01 5 6.7 2 9 1 6.3 4 2 .2 - - - Male 1 18 2 5 2 1.2 6 6 5 5.9 2 4 2 0.3 3 2 .5 - - - Female 6 0 1 9 3 1.7 3 5 5 8.3 5 8 .3 1 1 .7 - - - ABERDARE FOREST 9 9 5 5 .1 8 8 8 8.9 3 3 .0 3 3 .0 - - - Male 7 0 4 5 .7 6 3 9 0.0 - - 3 4 .3 - - - Female 2 9 1 3 .4 2 5 8 6.2 3 1 0.3 - - - - - KIRINYAGA 5 71,312 1 93,518 3 3.9 1 99,413 3 4.9 1 36,968 2 4.0 3 7,445 6 .6 3 ,931 0 .7 3 7 Male 2 81,556 9 8,661 3 5.0 1 00,582 3 5.7 6 7,459 2 4.0 1 2,577 4 .5 2 ,256 0 .8 2 1 Female 2 89,729 9 4,852 3 2.7 9 8,822 3 4.1 6 9,497 2 4.0 2 4,867 8 .6 1 ,675 0 .6 1 6 KIRINYAGA CENTRAL 1 14,807 3 8,430 3 3.5 4 4,653 3 8.9 2 3,571 2 0.5 7 ,105 6 .2 1 ,045 0 .9 3 Male 5 5,919 1 9,502 3 4.9 2 2,314 3 9.9 1 1,449 2 0.5 2 ,062 3 .7 5 90 1 .1 2 Female 5 8,884 1 8,927 3 2.1 2 2,337 3 7.9 1 2,121 2 0.6 5 ,043 8 .6 4 55 0 .8 1 KIRINYAGA EAST 1 27,964 4 1,819 3 2.7 4 3,513 3 4.0 3 3,261 2 6.0 8 ,620 6 .7 7 31 0 .6 2 0 Male 6 3,267 2 1,314 3 3.7 2 2,222 3 5.1 1 6,536 2 6.1 2 ,760 4 .4 4 23 0 .7 1 2 Female 6 4,689 2 0,504 3 1.7 2 1,289 3 2.9 1 6,720 2 5.8 5 ,860 9 .1 3 08 0 .5 8 KIRINYAGA WEST 1 07,763 3 7,514 3 4.8 4 1,086 3 8.1 2 1,824 2 0.3 6 ,793 6 .3 5 43 0 .5 3 Male 5 2,630 1 9,180 3 6.4 2 0,574 3 9.1 1 0,450 1 9.9 2 ,156 4 .1 2 68 0 .5 2 Female 5 5,129 1 8,333 3 3.3 2 0,511 3 7.2 1 1,373 2 0.6 4 ,636 8 .4 2 75 0 .5 1 MWEA EAST 1 22,344 4 0,992 3 3.5 4 0,192 3 2.9 3 1,782 2 6.0 8 ,308 6 .8 1 ,061 0 .9 9 Male 6 0,740 2 0,775 3 4.2 2 0,158 3 3.2 1 5,823 2 6.1 3 ,335 5 .5 6 44 1 .1 5 Female 6 1,598 2 0,216 3 2.8 2 0,033 3 2.5 1 5,955 2 5.9 4 ,973 8 .1 4 17 0 .7 4 MWEA WEST 9 8,400 3 4,760 3 5.3 2 9,941 3 0.4 2 6,527 2 7.0 6 ,619 6 .7 5 51 0 .6 2 Male 4 8,976 1 7,890 3 6.5 1 5,292 3 1.2 1 3,199 2 6.9 2 ,264 4 .6 3 31 0 .7 - Female 4 9,419 1 6,869 3 4.1 1 4,646 2 9.6 1 3,327 2 7.0 4 ,355 8 .8 2 20 0 .4 2 MT. KENYA FOREST 3 4 3 8 .8 2 8 8 2.4 3 8 .8 - - - - - Male 2 4 - - 2 2 9 1.7 2 8 .3 - - - - - Female 1 0 3 3 0.0 6 6 0.0 1 1 0.0 - - - - - MURANG’A 9 88,224 3 58,844 3 6.3 3 58,964 3 6.3 1 93,814 1 9.6 7 2,326 7 .3 4 ,133 0 .4 1 43 Male 4 88,689 1 84,250 3 7.7 1 82,572 3 7.4 9 3,190 1 9.1 2 6,285 5 .4 2 ,319 0 .5 7 3 Female 4 99,505 1 74,580 3 5.0 1 76,382 3 5.3 1 00,619 2 0.1 4 6,040 9 .2 1 ,814 0 .4 7 0 MURANG’A EAST 1 01,606 3 5,232 3 4.7 4 1,784 4 1.1 1 6,745 1 6.5 7 ,418 7 .3 4 21 0 .4 6 Male 4 9,826 1 7,772 3 5.7 2 0,968 4 2.1 8 ,183 1 6.4 2 ,671 5 .4 2 30 0 .5 2 Female 5 1,779 1 7,459 3 3.7 2 0,816 4 0.2 8 ,562 1 6.5 4 ,747 9 .2 1 91 0 .4 4 26

Page 40

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number KANGEMA 7 5,668 2 6,598 3 5.2 2 9,670 3 9.2 1 3,379 1 7.7 5 ,775 7 .6 2 46 0 .3 - Male 3 7,165 1 3,778 3 7.1 1 4,793 3 9.8 6 ,461 1 7.4 1 ,999 5 .4 1 34 0 .4 - Female 3 8,500 1 2,818 3 3.3 1 4,876 3 8.6 6 ,918 1 8.0 3 ,776 9 .8 1 12 0 .3 - MATHIOYA 8 7,438 3 1,439 3 6.0 3 2,226 3 6.9 1 5,594 1 7.8 7 ,766 8 .9 3 98 0 .5 1 5 Male 4 2,738 1 6,161 3 7.8 1 6,094 3 7.7 7 ,587 1 7.8 2 ,686 6 .3 2 03 0 .5 7 Female 4 4,699 1 5,278 3 4.2 1 6,131 3 6.1 8 ,007 1 7.9 5 ,080 1 1.4 1 95 0 .4 8 KAHURO 8 3,338 2 9,727 3 5.7 2 9,774 3 5.7 1 7,421 2 0.9 6 ,090 7 .3 3 18 0 .4 8 Male 4 0,864 1 5,443 3 7.8 1 4,898 3 6.5 8 ,219 2 0.1 2 ,133 5 .2 1 66 0 .4 5 Female 4 2,467 1 4,279 3 3.6 1 4,874 3 5.0 9 ,202 2 1.7 3 ,957 9 .3 1 52 0 .4 3 MURANG’A SOUTH 1 72,158 6 4,167 3 7.3 5 9,067 3 4.3 3 5,977 2 0.9 1 2,238 7 .1 6 82 0 .4 2 7 Male 8 5,252 3 2,909 3 8.6 3 0,308 3 5.6 1 7,034 2 0.0 4 ,565 5 .4 4 22 0 .5 1 4 Female 8 6,901 3 1,256 3 6.0 2 8,756 3 3.1 1 8,943 2 1.8 7 ,673 8 .8 2 60 0 .3 1 3 GATANGA 1 75,723 6 5,058 3 7.0 6 4,029 3 6.4 3 4,256 1 9.5 1 1,552 6 .6 7 99 0 .5 2 9 Male 8 8,134 3 3,338 3 7.8 3 3,059 3 7.5 1 6,925 1 9.2 4 ,356 4 .9 4 41 0 .5 1 5 Female 8 7,586 3 1,719 3 6.2 3 0,969 3 5.4 1 7,330 1 9.8 7 ,196 8 .2 3 58 0 .4 1 4 KIGUMO 1 28,481 4 6,894 3 6.5 4 3,644 3 4.0 2 7,598 2 1.5 9 ,786 7 .6 5 30 0 .4 2 9 Male 6 3,728 2 4,235 3 8.0 2 2,240 3 4.9 1 3,257 2 0.8 3 ,685 5 .8 2 95 0 .5 1 6 Female 6 4,750 2 2,658 3 5.0 2 1,403 3 3.1 1 4,340 2 2.1 6 ,101 9 .4 2 35 0 .4 1 3 KANDARA 1 63,770 5 9,723 3 6.5 5 8,742 3 5.9 3 2,837 2 0.1 1 1,700 7 .1 7 39 0 .5 2 9 Male 8 0,952 3 0,612 3 7.8 3 0,189 3 7.3 1 5,519 1 9.2 4 ,190 5 .2 4 28 0 .5 1 4 Female 8 2,811 2 9,109 3 5.2 2 8,552 3 4.5 1 7,315 2 0.9 7 ,509 9 .1 3 11 0 .4 1 5 ABERDARE FOREST 4 2 6 1 4.3 2 8 6 6.7 7 1 6.7 1 2 .4 - - - Male 3 0 2 6 .7 2 3 7 6.7 5 1 6.7 - - - - - Female 1 2 4 3 3.3 5 4 1.7 2 1 6.7 1 8 .3 - - - KIAMBU 2 ,231,514 7 78,586 3 4.9 1 ,013,910 4 5.4 3 26,845 1 4.6 9 8,594 4 .4 1 3,057 0 .6 5 22 Male 1 ,092,380 3 88,770 3 5.6 5 04,910 4 6.2 1 51,002 1 3.8 4 0,162 3 .7 7 ,274 0 .7 2 62 Female 1 ,139,012 3 89,788 3 4.2 5 08,948 4 4.7 1 75,810 1 5.4 5 8,423 5 .1 5 ,783 0 .5 2 60 GATUNDU NORTH 1 02,915 3 6,935 3 5.9 3 6,830 3 5.8 2 1,494 2 0.9 7 ,082 6 .9 5 57 0 .5 1 7 Male 5 0,634 1 8,737 3 7.0 1 8,964 3 7.5 1 0,190 2 0.1 2 ,405 4 .7 3 31 0 .7 7 Female 5 2,279 1 8,198 3 4.8 1 7,865 3 4.2 1 1,303 2 1.6 4 ,677 8 .9 2 26 0 .4 1 0 GATUNDU SOUTH 1 14,575 3 9,811 3 4.7 4 3,889 3 8.3 2 1,707 1 8.9 8 ,355 7 .3 7 71 0 .7 4 2 Male 5 6,630 2 0,339 3 5.9 2 2,679 4 0.0 1 0,298 1 8.2 2 ,865 5 .1 4 32 0 .8 1 7 Female 5 7,941 1 9,470 3 3.6 2 1,209 3 6.6 1 1,408 1 9.7 5 ,490 9 .5 3 39 0 .6 2 5 GITHUNGURI 1 55,046 5 3,711 3 4.6 6 3,053 4 0.7 2 8,090 1 8.1 9 ,457 6 .1 7 16 0 .5 1 9 Male 7 6,874 2 7,194 3 5.4 3 2,136 4 1.8 1 3,548 1 7.6 3 ,572 4 .6 4 14 0 .5 1 0 Female 7 8,164 2 6,515 3 3.9 3 0,916 3 9.6 1 4,538 1 8.6 5 ,884 7 .5 3 02 0 .4 9 JUJA 2 77,171 1 02,232 3 6.9 1 28,017 4 6.2 3 5,625 1 2.9 9 ,567 3 .5 1 ,655 0 .6 7 5 Male 1 36,491 5 1,283 3 7.6 6 3,526 4 6.5 1 6,351 1 2.0 4 ,326 3 .2 9 66 0 .7 3 9 Female 1 40,658 5 0,944 3 6.2 6 4,483 4 5.8 1 9,268 1 3.7 5 ,238 3 .7 6 89 0 .5 3 6 KABETE 1 84,688 6 2,008 3 3.6 8 9,489 4 8.5 2 5,173 1 3.6 6 ,810 3 .7 1 ,165 0 .6 4 3 Male 9 0,196 3 0,762 3 4.1 4 4,509 4 9.3 1 1,351 1 2.6 2 ,917 3 .2 6 38 0 .7 1 9 Female 9 4,478 3 1,246 3 3.1 4 4,969 4 7.6 1 3,819 1 4.6 3 ,893 4 .1 5 27 0 .6 2 4 27

Page 41

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number KIAMBAA 2 18,165 7 1,027 3 2.6 1 04,756 4 8.0 3 1,176 1 4.3 9 ,649 4 .4 1 ,474 0 .7 8 3 Male 1 06,623 3 4,903 3 2.7 5 2,380 4 9.1 1 4,516 1 3.6 4 ,010 3 .8 7 70 0 .7 4 4 Female 1 11,530 3 6,121 3 2.4 5 2,372 4 7.0 1 6,658 1 4.9 5 ,636 5 .1 7 04 0 .6 3 9 KIAMBU 1 33,949 4 3,881 3 2.8 6 5,022 4 8.5 1 8,408 1 3.7 5 ,755 4 .3 8 22 0 .6 6 1 Male 6 3,471 2 1,477 3 3.8 3 1,001 4 8.8 8 ,202 1 2.9 2 ,362 3 .7 3 97 0 .6 3 2 Female 7 0,464 2 2,402 3 1.8 3 4,013 4 8.3 1 0,203 1 4.5 3 ,392 4 .8 4 25 0 .6 2 9 KIKUYU 1 72,833 5 9,423 3 4.4 8 2,430 4 7.7 2 3,152 1 3.4 7 ,080 4 .1 7 33 0 .4 1 5 Male 8 3,603 2 9,466 3 5.2 4 0,300 4 8.2 1 0,468 1 2.5 2 ,982 3 .6 3 80 0 .5 7 Female 8 9,226 2 9,957 3 3.6 4 2,129 4 7.2 1 2,681 1 4.2 4 ,098 4 .6 3 53 0 .4 8 LARI 1 25,884 4 7,619 3 7.8 4 5,493 3 6.1 2 4,225 1 9.2 7 ,784 6 .2 7 55 0 .6 8 Male 6 2,427 2 4,207 3 8.8 2 3,164 3 7.1 1 1,564 1 8.5 3 ,053 4 .9 4 36 0 .7 3 Female 6 3,454 2 3,410 3 6.9 2 2,329 3 5.2 1 2,661 2 0.0 4 ,730 7 .5 3 19 0 .5 5 LIMURU 1 47,004 5 3,174 3 6.2 6 2,532 4 2.5 2 3,212 1 5.8 7 ,384 5 .0 6 80 0 .5 2 2 Male 7 3,445 2 6,851 3 6.6 3 2,177 4 3.8 1 1,227 1 5.3 2 ,777 3 .8 4 00 0 .5 1 3 Female 7 3,559 2 6,323 3 5.8 3 0,355 4 1.3 1 1,985 1 6.3 4 ,607 6 .3 2 80 0 .4 9 RUIRU 3 40,681 1 16,732 3 4.3 1 69,893 4 9.9 4 0,834 1 2.0 1 0,509 3 .1 2 ,635 0 .8 7 8 Male 1 65,256 5 7,530 3 4.8 8 3,728 5 0.7 1 7,721 1 0.7 4 ,779 2 .9 1 ,455 0 .9 4 3 Female 1 75,406 5 9,195 3 3.7 8 6,158 4 9.1 2 3,108 1 3.2 5 ,730 3 .3 1 ,180 0 .7 3 5 THIKA EAST 3 5,971 1 2,908 3 5.9 1 3,773 3 8.3 7 ,090 1 9.7 2 ,033 5 .7 1 60 0 .4 7 Male 1 8,224 6 ,498 3 5.7 7 ,316 4 0.1 3 ,504 1 9.2 8 02 4 .4 1 02 0 .6 2 Female 1 7,743 6 ,410 3 6.1 6 ,456 3 6.4 3 ,583 2 0.2 1 ,231 6 .9 5 8 0 .3 5 THIKA WEST 2 22,632 7 9,125 3 5.5 1 08,733 4 8.8 2 6,659 1 2.0 7 ,129 3 .2 9 34 0 .4 5 2 Male 1 08,506 3 9,523 3 6.4 5 3,030 4 8.9 1 2,062 1 1.1 3 ,312 3 .1 5 53 0 .5 2 6 Female 1 14,110 3 9,597 3 4.7 5 5,694 4 8.8 1 4,595 1 2.8 3 ,817 3 .3 3 81 0 .3 2 6 TURKANA 8 51,797 1 84,015 2 1.6 3 3,028 3 .9 2 8,982 3 .4 5 84,977 6 8.7 2 0,077 2 .4 7 18 Male 4 39,467 9 8,266 2 2.4 2 1,042 4 .8 1 4,573 3 .3 2 94,430 6 7.0 1 0,795 2 .5 3 61 Female 4 12,311 8 5,746 2 0.8 1 1,986 2 .9 1 4,409 3 .5 2 90,531 7 0.5 9 ,282 2 .3 3 57 KIBISH 3 3,611 2 ,577 7 .7 2 77 0 .8 3 15 0 .9 3 0,064 8 9.4 3 78 1 .1 - Male 1 7,046 1 ,516 8 .9 2 19 1 .3 1 67 1 .0 1 4,978 8 7.9 1 66 1 .0 - Female 1 6,564 1 ,060 6 .4 5 8 0 .4 1 48 0 .9 1 5,086 9 1.1 2 12 1 .3 - LOIMA 9 8,183 1 4,212 1 4.5 1 ,109 1 .1 2 ,003 2 .0 7 8,451 7 9.9 2 ,298 2 .3 1 10 Male 4 9,440 7 ,292 1 4.7 7 62 1 .5 9 97 2 .0 3 9,101 7 9.1 1 ,231 2 .5 5 7 Female 4 8,743 6 ,920 1 4.2 3 47 0 .7 1 ,006 2 .1 3 9,350 8 0.7 1 ,067 2 .2 5 3 TURKANA CENTRAL 1 66,135 5 3,043 3 1.9 1 5,618 9 .4 1 2,800 7 .7 8 2,792 4 9.8 1 ,826 1 .1 5 6 Male 8 2,906 2 7,137 3 2.7 9 ,280 1 1.2 6 ,396 7 .7 3 9,087 4 7.1 9 77 1 .2 2 9 Female 8 3,229 2 5,906 3 1.1 6 ,338 7 .6 6 ,404 7 .7 4 3,705 5 2.5 8 49 1 .0 2 7 TURKANA EAST 1 30,834 1 6,281 1 2.4 2 ,663 2 .0 1 ,728 1 .3 1 05,534 8 0.7 4 ,477 3 .4 1 51 Male 7 2,914 8 ,857 1 2.1 1 ,708 2 .3 8 83 1 .2 5 8,792 8 0.6 2 ,588 3 .5 8 6 Female 5 7,908 7 ,424 1 2.8 9 55 1 .6 8 45 1 .5 4 6,730 8 0.7 1 ,889 3 .3 6 5 TURKANA NORTH 5 9,378 9 ,689 1 6.3 1 ,120 1 .9 1 ,079 1 .8 4 5,956 7 7.4 1 ,530 2 .6 4 Male 2 9,770 5 ,249 1 7.6 8 42 2 .8 6 55 2 .2 2 2,186 7 4.5 8 36 2 .8 2 Female 2 9,608 4 ,440 1 5.0 2 78 0 .9 4 24 1 .4 2 3,770 8 0.3 6 94 2 .3 2 28

Page 42

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number TURKANA SOUTH 1 42,538 3 1,741 2 2.3 4 ,851 3 .4 4 ,591 3 .2 9 8,044 6 8.8 3 ,226 2 .3 8 5 Male 7 2,846 1 6,213 2 2.3 3 ,159 4 .3 2 ,175 3 .0 4 9,570 6 8.0 1 ,689 2 .3 4 0 Female 6 9,688 1 5,526 2 2.3 1 ,692 2 .4 2 ,416 3 .5 4 8,472 6 9.6 1 ,537 2 .2 4 5 TURKANA WEST 2 21,118 5 6,472 2 5.5 7 ,390 3 .3 6 ,466 2 .9 1 44,136 6 5.2 6 ,342 2 .9 3 12 Male 1 14,545 3 2,002 2 7.9 5 ,072 4 .4 3 ,300 2 .9 7 0,716 6 1.7 3 ,308 2 .9 1 47 Female 1 06,571 2 4,470 2 3.0 2 ,318 2 .2 3 ,166 3 .0 7 3,418 6 8.9 3 ,034 2 .8 1 65 WEST POKOT 5 53,584 2 35,136 4 2.5 3 6,841 6 .7 5 6,672 1 0.2 2 18,972 3 9.6 5 ,860 1 .1 1 03 Male 2 72,728 1 19,842 4 3.9 2 0,733 7 .6 2 8,006 1 0.3 1 01,121 3 7.1 2 ,978 1 .1 4 8 Female 2 80,844 1 15,287 4 1.1 1 6,108 5 .7 2 8,666 1 0.2 1 17,846 4 2.0 2 ,882 1 .0 5 5 KIPKOMO 9 1,581 4 8,572 5 3.0 6 ,410 7 .0 1 2,468 1 3.6 2 3,302 2 5.4 8 29 0 .9 - Male 4 5,307 2 4,703 5 4.5 3 ,569 7 .9 6 ,181 1 3.6 1 0,398 2 3.0 4 56 1 .0 - Female 4 6,268 2 3,865 5 1.6 2 ,841 6 .1 6 ,287 1 3.6 1 2,902 2 7.9 3 73 0 .8 - POKOT CENTRAL 1 06,071 4 2,955 4 0.5 3 ,926 3 .7 1 1,271 1 0.6 4 7,095 4 4.4 8 06 0 .8 1 8 Male 5 3,164 2 2,218 4 1.8 2 ,484 4 .7 5 ,871 1 1.0 2 2,191 4 1.7 3 93 0 .7 7 Female 5 2,905 2 0,736 3 9.2 1 ,442 2 .7 5 ,400 1 0.2 2 4,903 4 7.1 4 13 0 .8 1 1 POKOT NORTH 1 18,673 2 7,221 2 2.9 3 ,081 2 .6 3 ,584 3 .0 8 3,724 7 0.6 1 ,005 0 .8 5 8 Male 5 6,999 1 3,774 2 4.2 1 ,929 3 .4 1 ,718 3 .0 3 9,056 6 8.5 4 97 0 .9 2 5 Female 6 1,672 1 3,447 2 1.8 1 ,152 1 .9 1 ,866 3 .0 4 4,666 7 2.4 5 08 0 .8 3 3 POKOT SOUTH 7 2,458 4 1,818 5 7.7 5 ,071 7 .0 9 ,784 1 3.5 1 4,667 2 0.2 1 ,118 1 .5 - Male 3 5,681 2 1,211 5 9.4 2 ,853 8 .0 4 ,663 1 3.1 6 ,391 1 7.9 5 63 1 .6 - Female 3 6,775 2 0,605 5 6.0 2 ,218 6 .0 5 ,121 1 3.9 8 ,276 2 2.5 5 55 1 .5 - WEST POKOT 1 64,801 7 4,570 4 5.2 1 8,353 1 1.1 1 9,565 1 1.9 5 0,184 3 0.5 2 ,102 1 .3 2 7 Male 8 1,577 3 7,936 4 6.5 9 ,898 1 2.1 9 ,573 1 1.7 2 3,085 2 8.3 1 ,069 1 .3 1 6 Female 8 3,224 3 6,634 4 4.0 8 ,455 1 0.2 9 ,992 1 2.0 2 7,099 3 2.6 1 ,033 1 .2 1 1 SAMBURU 2 79,891 8 6,608 3 0.9 2 1,260 7 .6 1 2,334 4 .4 1 57,284 5 6.2 2 ,377 0 .8 2 8 Male 1 41,072 4 6,092 3 2.7 1 2,778 9 .1 6 ,193 4 .4 7 4,619 5 2.9 1 ,378 1 .0 1 2 Female 1 38,814 4 0,515 2 9.2 8 ,482 6 .1 6 ,141 4 .4 8 2,661 5 9.5 9 99 0 .7 1 6 SAMBURU CENTRAL 1 49,358 5 5,364 3 7.1 1 3,832 9 .3 8 ,173 5 .5 7 0,391 4 7.1 1 ,578 1 .1 2 0 Male 7 5,738 2 9,444 3 8.9 8 ,136 1 0.7 4 ,095 5 .4 3 3,148 4 3.8 9 06 1 .2 9 Female 7 3,618 2 5,920 3 5.2 5 ,696 7 .7 4 ,078 5 .5 3 7,241 5 0.6 6 72 0 .9 1 1 SAMBURU EAST 6 9,944 1 7,726 2 5.3 4 ,901 7 .0 2 ,660 3 .8 4 4,187 6 3.2 4 69 0 .7 1 Male 3 4,048 9 ,425 2 7.7 2 ,925 8 .6 1 ,338 3 .9 2 0,058 5 8.9 3 02 0 .9 - Female 3 5,896 8 ,301 2 3.1 1 ,976 5 .5 1 ,322 3 .7 2 4,129 6 7.2 1 67 0 .5 1 SAMBURU NORTH 6 0,589 1 3,518 2 2.3 2 ,527 4 .2 1 ,501 2 .5 4 2,706 7 0.5 3 30 0 .5 7 Male 3 1,286 7 ,223 2 3.1 1 ,717 5 .5 7 60 2 .4 2 1,413 6 8.4 1 70 0 .5 3 Female 2 9,300 6 ,294 2 1.5 8 10 2 .8 7 41 2 .5 2 1,291 7 2.7 1 60 0 .5 4 29

Page 43

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number TRANS NZOIA 9 11,209 4 40,977 4 8.4 1 73,534 1 9.0 1 93,088 2 1.2 9 3,829 1 0.3 9 ,713 1 .1 6 8 Male 4 48,487 2 24,218 5 0.0 8 8,354 1 9.7 8 8,076 1 9.6 4 2,289 9 .4 5 ,518 1 .2 3 2 Female 4 62,701 2 16,747 4 6.8 8 5,175 1 8.4 1 05,011 2 2.7 5 1,537 1 1.1 4 ,195 0 .9 3 6 TRANS NZOIA WEST 1 84,140 8 7,077 4 7.3 3 7,213 2 0.2 4 0,774 2 2.1 1 6,704 9 .1 2 ,336 1 .3 3 6 Male 9 1,254 4 4,064 4 8.3 1 9,546 2 1.4 1 8,587 2 0.4 7 ,632 8 .4 1 ,408 1 .5 1 7 Female 9 2,883 4 3,011 4 6.3 1 7,666 1 9.0 2 2,187 2 3.9 9 ,072 9 .8 9 28 1 .0 1 9 TRANS NZOIA EAST 2 12,422 1 05,393 4 9.6 4 0,482 1 9.1 4 1,794 1 9.7 2 2,014 1 0.4 2 ,727 1 .3 1 2 Male 1 04,721 5 3,788 5 1.4 2 0,509 1 9.6 1 9,023 1 8.2 9 ,910 9 .5 1 ,487 1 .4 4 Female 1 07,693 5 1,600 4 7.9 1 9,973 1 8.5 2 2,770 2 1.1 1 2,102 1 1.2 1 ,240 1 .2 8 KWANZA 1 88,466 9 1,168 4 8.4 3 4,511 1 8.3 3 8,048 2 0.2 2 2,405 1 1.9 2 ,326 1 .2 8 Male 9 2,532 4 6,409 5 0.2 1 7,438 1 8.8 1 7,330 1 8.7 1 0,091 1 0.9 1 ,259 1 .4 5 Female 9 5,931 4 4,758 4 6.7 1 7,071 1 7.8 2 0,718 2 1.6 1 2,314 1 2.8 1 ,067 1 .1 3 ENDEBESS 1 02,457 5 0,202 4 9.0 1 2,036 1 1.7 2 5,440 2 4.8 1 4,151 1 3.8 6 26 0 .6 2 Male 5 1,455 2 5,839 5 0.2 6 ,657 1 2.9 1 2,023 2 3.4 6 ,541 1 2.7 3 94 0 .8 1 Female 5 0,999 2 4,361 4 7.8 5 ,378 1 0.5 1 3,417 2 6.3 7 ,610 1 4.9 2 32 0 .5 1 KIMININI 2 23,724 1 07,137 4 7.9 4 9,292 2 2.0 4 7,032 2 1.0 1 8,555 8 .3 1 ,698 0 .8 1 0 Male 1 08,525 5 4,118 4 9.9 2 4,204 2 2.3 2 1,113 1 9.5 8 ,115 7 .5 9 70 0 .9 5 Female 1 15,195 5 3,017 4 6.0 2 5,087 2 1.8 2 5,919 2 2.5 1 0,439 9 .1 7 28 0 .6 5 UASIN GISHU 1 ,070,335 4 80,402 4 4.9 3 21,505 3 0.0 1 80,625 1 6.9 7 9,032 7 .4 8 ,633 0 .8 1 38 Male 5 31,769 2 41,839 4 5.5 1 63,748 3 0.8 8 5,855 1 6.1 3 5,299 6 .6 4 ,960 0 .9 6 8 Female 5 38,543 2 38,555 4 4.3 1 57,748 2 9.3 9 4,766 1 7.6 4 3,731 8 .1 3 ,673 0 .7 7 0 AINABKOI 1 27,533 5 7,988 4 5.5 4 1,597 3 2.6 1 7,693 1 3.9 9 ,538 7 .5 7 06 0 .6 1 1 Male 6 2,850 2 9,057 4 6.2 2 0,815 3 3.1 8 ,471 1 3.5 4 ,122 6 .6 3 80 0 .6 5 Female 6 4,683 2 8,931 4 4.7 2 0,782 3 2.1 9 ,222 1 4.3 5 ,416 8 .4 3 26 0 .5 6 KAPSERET 1 82,852 7 7,598 4 2.4 6 3,881 3 4.9 3 0,189 1 6.5 9 ,559 5 .2 1 ,578 0 .9 4 7 Male 9 1,412 3 8,581 4 2.2 3 2,800 3 5.9 1 4,635 1 6.0 4 ,379 4 .8 9 95 1 .1 2 2 Female 9 1,436 3 9,017 4 2.7 3 1,080 3 4.0 1 5,551 1 7.0 5 ,180 5 .7 5 83 0 .6 2 5 KESSES 1 37,814 6 5,544 4 7.6 3 6,970 2 6.8 2 2,931 1 6.6 1 1,734 8 .5 6 22 0 .5 1 3 Male 6 8,811 3 3,580 4 8.8 1 8,727 2 7.2 1 0,957 1 5.9 5 ,201 7 .6 3 39 0 .5 7 Female 6 9,000 3 1,962 4 6.3 1 8,242 2 6.4 1 1,974 1 7.4 6 ,533 9 .5 2 83 0 .4 6 MOIBEN 1 65,378 7 3,257 4 4.3 5 4,495 3 3.0 2 4,508 1 4.8 1 1,894 7 .2 1 ,209 0 .7 1 5 Male 8 1,639 3 6,585 4 4.8 2 7,183 3 3.3 1 1,710 1 4.3 5 ,532 6 .8 6 23 0 .8 6 Female 8 3,737 3 6,672 4 3.8 2 7,310 3 2.6 1 2,798 1 5.3 6 ,362 7 .6 5 86 0 .7 9 SOY 2 11,662 1 00,702 4 7.6 4 8,947 2 3.1 4 2,352 2 0.0 1 7,599 8 .3 2 ,035 1 .0 2 7 Male 1 05,136 5 1,374 4 8.9 2 4,693 2 3.5 2 0,093 1 9.1 7 ,783 7 .4 1 ,176 1 .1 1 7 Female 1 06,521 4 9,326 4 6.3 2 4,251 2 2.8 2 2,259 2 0.9 9 ,816 9 .2 8 59 0 .8 1 0 TURBO 2 45,096 1 05,313 4 3.0 7 5,615 3 0.9 4 2,952 1 7.5 1 8,708 7 .6 2 ,483 1 .0 2 5 Male 1 21,921 5 2,662 4 3.2 3 9,530 3 2.4 1 9,989 1 6.4 8 ,282 6 .8 1 ,447 1 .2 1 1 Female 1 23,166 5 2,647 4 2.7 3 6,083 2 9.3 2 2,962 1 8.6 1 0,424 8 .5 1 ,036 0 .8 1 4 30

Page 44

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number ELGEYO/MARAKWET 4 18,765 2 03,979 4 8.7 9 3,397 2 2.3 6 5,739 1 5.7 5 2,047 1 2.4 3 ,541 0 .8 6 2 Male 2 09,151 1 03,310 4 9.4 4 8,510 2 3.2 3 1,890 1 5.2 2 3,622 1 1.3 1 ,789 0 .9 3 0 Female 2 09,602 1 00,663 4 8.0 4 4,886 2 1.4 3 3,847 1 6.1 2 8,423 1 3.6 1 ,751 0 .8 3 2 KEIYO NORTH 9 1,430 4 2,628 4 6.6 2 8,055 3 0.7 1 2,537 1 3.7 7 ,697 8 .4 4 98 0 .5 1 5 Male 4 5,566 2 1,499 4 7.2 1 4,415 3 1.6 5 ,895 1 2.9 3 ,492 7 .7 2 59 0 .6 6 Female 4 5,863 2 1,128 4 6.1 1 3,640 2 9.7 6 ,642 1 4.5 4 ,205 9 .2 2 39 0 .5 9 KEIYO SOUTH 1 12,236 5 3,990 4 8.1 2 9,430 2 6.2 1 7,097 1 5.2 9 ,984 8 .9 1 ,715 1 .5 2 0 Male 5 6,593 2 7,641 4 8.8 1 5,165 2 6.8 8 ,446 1 4.9 4 ,468 7 .9 8 64 1 .5 9 Female 5 5,639 2 6,348 4 7.4 1 4,264 2 5.6 8 ,650 1 5.5 5 ,515 9 .9 8 51 1 .5 1 1 MARAKWET EAST 8 8,986 4 5,934 5 1.6 1 2,143 1 3.6 1 2,906 1 4.5 1 7,694 1 9.9 3 08 0 .3 1 Male 4 3,796 2 3,055 5 2.6 6 ,574 1 5.0 6 ,204 1 4.2 7 ,819 1 7.9 1 43 0 .3 1 Female 4 5,188 2 2,878 5 0.6 5 ,569 1 2.3 6 ,702 1 4.8 9 ,874 2 1.9 1 65 0 .4 - MARAKWET WEST 1 26,113 6 1,427 4 8.7 2 3,769 1 8.8 2 3,199 1 8.4 1 6,672 1 3.2 1 ,020 0 .8 2 6 Male 6 3,196 3 1,115 4 9.2 1 2,356 1 9.6 1 1,345 1 8.0 7 ,843 1 2.4 5 23 0 .8 1 4 Female 6 2,912 3 0,309 4 8.2 1 1,413 1 8.1 1 1,853 1 8.8 8 ,829 1 4.0 4 96 0 .8 1 2 NANDI 8 22,163 3 90,831 4 7.5 1 66,706 2 0.3 1 86,639 2 2.7 7 0,665 8 .6 7 ,242 0 .9 8 0 Male 4 08,980 1 99,523 4 8.8 8 5,080 2 0.8 8 8,754 2 1.7 3 1,654 7 .7 3 ,921 1 .0 4 8 Female 4 13,163 1 91,303 4 6.3 8 1,621 1 9.8 9 7,879 2 3.7 3 9,007 9 .4 3 ,321 0 .8 3 2 CHESUMEI 1 52,235 6 9,608 4 5.7 3 7,839 2 4.9 3 2,606 2 1.4 1 0,852 7 .1 1 ,326 0 .9 4 Male 7 5,011 3 5,299 4 7.1 1 8,917 2 5.2 1 5,382 2 0.5 4 ,706 6 .3 7 04 0 .9 3 Female 7 7,221 3 4,308 4 4.4 1 8,921 2 4.5 1 7,223 2 2.3 6 ,146 8 .0 6 22 0 .8 1 NANDI CENTRAL 1 36,533 6 2,865 4 6.0 3 1,831 2 3.3 2 8,924 2 1.2 1 1,858 8 .7 1 ,055 0 .8 - Male 6 7,514 3 2,004 4 7.4 1 6,014 2 3.7 1 3,685 2 0.3 5 ,231 7 .7 5 80 0 .9 - Female 6 9,013 3 0,860 4 4.7 1 5,816 2 2.9 1 5,237 2 2.1 6 ,625 9 .6 4 75 0 .7 - NANDI EAST 1 10,834 5 1,575 4 6.5 2 3,672 2 1.4 2 5,800 2 3.3 9 ,274 8 .4 4 70 0 .4 4 3 Male 5 5,676 2 6,083 4 6.8 1 2,430 2 2.3 1 2,656 2 2.7 4 ,215 7 .6 2 69 0 .5 2 3 Female 5 5,155 2 5,492 4 6.2 1 1,241 2 0.4 1 3,143 2 3.8 5 ,058 9 .2 2 01 0 .4 2 0 NANDI NORTH 1 54,455 7 5,700 4 9.0 2 7,014 1 7.5 3 6,134 2 3.4 1 3,239 8 .6 2 ,354 1 .5 1 4 Male 7 6,585 3 8,889 5 0.8 1 3,689 1 7.9 1 6,828 2 2.0 5 ,895 7 .7 1 ,275 1 .7 9 Female 7 7,867 3 6,809 4 7.3 1 3,325 1 7.1 1 9,305 2 4.8 7 ,344 9 .4 1 ,079 1 .4 5 NANDI SOUTH 1 60,898 7 7,802 4 8.4 3 0,499 1 9.0 3 6,954 2 3.0 1 4,797 9 .2 8 38 0 .5 8 Male 7 9,744 3 9,675 4 9.8 1 5,457 1 9.4 1 7,488 2 1.9 6 ,661 8 .4 4 59 0 .6 4 Female 8 1,151 3 8,127 4 7.0 1 5,040 1 8.5 1 9,465 2 4.0 8 ,136 1 0.0 3 79 0 .5 4 TINDERET 1 07,208 5 3,281 4 9.7 1 5,851 1 4.8 2 6,221 2 4.5 1 0,645 9 .9 1 ,199 1 .1 1 1 Male 5 4,450 2 7,573 5 0.6 8 ,573 1 5.7 1 2,715 2 3.4 4 ,946 9 .1 6 34 1 .2 9 Female 5 2,756 2 5,707 4 8.7 7 ,278 1 3.8 1 3,506 2 5.6 5 ,698 1 0.8 5 65 1 .1 2 31

Page 45

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number BARINGO 6 09,555 2 53,878 4 1.6 1 24,066 2 0.4 6 7,739 1 1.1 1 57,298 2 5.8 6 ,530 1 .1 4 4 Male 3 06,702 1 30,797 4 2.6 6 4,231 2 0.9 3 2,867 1 0.7 7 5,333 2 4.6 3 ,456 1 .1 1 8 Female 3 02,842 1 23,075 4 0.6 5 9,832 1 9.8 3 4,871 1 1.5 8 1,964 2 7.1 3 ,074 1 .0 2 6 BARINGO CENTRAL 8 9,180 4 2,317 4 7.5 2 9,046 3 2.6 1 0,050 1 1.3 7 ,236 8 .1 5 30 0 .6 1 Male 4 4,084 2 1,287 4 8.3 1 4,595 3 3.1 4 ,896 1 1.1 3 ,044 6 .9 2 62 0 .6 - Female 4 5,096 2 1,030 4 6.6 1 4,451 3 2.0 5 ,154 1 1.4 4 ,192 9 .3 2 68 0 .6 1 BARINGO NORTH 9 6,670 4 7,924 4 9.6 2 1,442 2 2.2 1 2,943 1 3.4 1 3,057 1 3.5 1 ,301 1 .3 3 Male 4 8,209 2 4,837 5 1.5 1 1,051 2 2.9 6 ,148 1 2.8 5 ,519 1 1.4 6 53 1 .4 1 Female 4 8,459 2 3,087 4 7.6 1 0,390 2 1.4 6 ,794 1 4.0 7 ,538 1 5.6 6 48 1 .3 2 EAST POKOT 7 3,135 1 2,743 1 7.4 1 ,763 2 .4 1 ,052 1 .4 5 6,364 7 7.1 1 ,208 1 .7 5 Male 3 6,951 6 ,913 1 8.7 1 ,106 3 .0 5 51 1 .5 2 7,773 7 5.2 6 06 1 .6 2 Female 3 6,182 5 ,829 1 6.1 6 57 1 .8 5 01 1 .4 2 8,590 7 9.0 6 02 1 .7 3 KOIBATEK 1 19,478 5 5,856 4 6.8 3 6,782 3 0.8 1 8,522 1 5.5 7 ,389 6 .2 9 21 0 .8 8 Male 5 9,953 2 8,370 4 7.3 1 8,790 3 1.3 9 ,102 1 5.2 3 ,183 5 .3 5 05 0 .8 3 Female 5 9,523 2 7,484 4 6.2 1 7,992 3 0.2 9 ,420 1 5.8 4 ,206 7 .1 4 16 0 .7 5 MARIGAT 8 0,968 4 1,259 5 1.0 1 3,931 1 7.2 1 1,452 1 4.1 1 3,485 1 6.7 8 31 1 .0 1 0 Male 4 0,463 2 1,466 5 3.1 7 ,535 1 8.6 5 ,265 1 3.0 5 ,738 1 4.2 4 53 1 .1 6 Female 4 0,502 1 9,792 4 8.9 6 ,394 1 5.8 6 ,187 1 5.3 7 ,747 1 9.1 3 78 0 .9 4 MOGOTIO 8 3,716 4 1,411 4 9.5 1 9,335 2 3.1 1 2,127 1 4.5 9 ,945 1 1.9 8 97 1 .1 1 Male 4 2,194 2 1,210 5 0.3 9 ,986 2 3.7 6 ,051 1 4.3 4 ,440 1 0.5 5 06 1 .2 1 Female 4 1,520 2 0,199 4 8.6 9 ,349 2 2.5 6 ,076 1 4.6 5 ,505 1 3.3 3 91 0 .9 - TIATY EAST 6 6,408 1 2,368 1 8.6 1 ,767 2 .7 1 ,593 2 .4 4 9,822 7 5.0 8 42 1 .3 1 6 Male 3 4,848 6 ,714 1 9.3 1 ,168 3 .4 8 54 2 .5 2 5,636 7 3.6 4 71 1 .4 5 Female 3 1,560 5 ,654 1 7.9 5 99 1 .9 7 39 2 .3 2 4,186 7 6.6 3 71 1 .2 1 1 LAIKIPIA 4 75,756 1 84,613 3 8.8 1 52,372 3 2.0 5 9,213 1 2.4 7 6,475 1 6.1 3 ,045 0 .6 3 8 Male 2 36,702 9 4,751 4 0.0 7 8,392 3 3.1 2 8,229 1 1.9 3 3,580 1 4.2 1 ,731 0 .7 1 9 Female 2 39,042 8 9,858 3 7.6 7 3,979 3 0.9 3 0,981 1 3.0 4 2,891 1 7.9 1 ,314 0 .5 1 9 LAIKIPIA CENTRAL 8 9,229 3 4,143 3 8.3 3 5,196 3 9.4 1 3,521 1 5.2 5 ,583 6 .3 7 74 0 .9 1 2 Male 4 4,606 1 7,659 3 9.6 1 7,815 3 9.9 6 ,352 1 4.2 2 ,317 5 .2 4 61 1 .0 2 Female 4 4,623 1 6,484 3 6.9 1 7,381 3 9.0 7 ,169 1 6.1 3 ,266 7 .3 3 13 0 .7 1 0 LAIKIPIA EAST 9 3,683 3 3,653 3 5.9 3 6,499 3 9.0 1 1,280 1 2.0 1 1,785 1 2.6 4 59 0 .5 7 Male 4 6,952 1 6,957 3 6.1 1 9,254 4 1.0 5 ,378 1 1.5 5 ,092 1 0.8 2 65 0 .6 6 Female 4 6,726 1 6,694 3 5.7 1 7,245 3 6.9 5 ,899 1 2.6 6 ,693 1 4.3 1 94 0 .4 1 LAIKIPIA NORTH 3 2,310 1 1,535 3 5.7 2 ,970 9 .2 1 ,755 5 .4 1 5,891 4 9.2 1 58 0 .5 1 Male 1 6,107 6 ,102 3 7.9 1 ,863 1 1.6 9 36 5 .8 7 ,106 4 4.1 1 00 0 .6 - Female 1 6,202 5 ,433 3 3.5 1 ,107 6 .8 8 19 5 .1 8 ,784 5 4.2 5 8 0 .4 1 LAIKIPIA WEST 1 17,836 4 4,887 3 8.1 2 7,911 2 3.7 1 2,815 1 0.9 3 1,333 2 6.6 8 74 0 .7 1 6 Male 5 9,138 2 3,244 3 9.3 1 4,852 2 5.1 6 ,264 1 0.6 1 4,275 2 4.1 4 92 0 .8 1 1 Female 5 8,695 2 1,642 3 6.9 1 3,059 2 2.2 6 ,551 1 1.2 1 7,056 2 9.1 3 82 0 .7 5 32

Page 46

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number NYAHURURU 1 42,698 6 0,395 4 2.3 4 9,796 3 4.9 1 9,842 1 3.9 1 1,883 8 .3 7 80 0 .5 2 Male 6 9,899 3 0,789 4 4.0 2 4,608 3 5.2 9 ,299 1 3.3 4 ,790 6 .9 4 13 0 .6 - Female 7 2,796 2 9,605 4 0.7 2 5,187 3 4.6 1 0,543 1 4.5 7 ,092 9 .7 3 67 0 .5 2 NAKURU 1 ,981,598 8 43,280 4 2.6 6 52,319 3 2.9 3 22,032 1 6.3 1 47,198 7 .4 1 6,450 0 .8 3 19 Male 9 82,910 4 29,850 4 3.7 3 30,145 3 3.6 1 50,063 1 5.3 6 3,298 6 .4 9 ,390 1 .0 1 64 Female 9 98,603 4 13,397 4 1.4 3 22,148 3 2.3 1 71,948 1 7.2 8 3,897 8 .4 7 ,058 0 .7 1 55 GILGIL 1 69,516 7 2,508 4 2.8 5 7,408 3 3.9 2 5,548 1 5.1 1 2,929 7 .6 1 ,093 0 .6 3 0 Male 8 4,928 3 7,668 4 4.4 2 9,433 3 4.7 1 1,850 1 4.0 5 ,321 6 .3 6 39 0 .8 1 7 Female 8 4,581 3 4,837 4 1.2 2 7,974 3 3.1 1 3,695 1 6.2 7 ,608 9 .0 4 54 0 .5 1 3 KURESOI NORTH 1 61,409 7 8,524 4 8.6 3 3,145 2 0.5 3 2,556 2 0.2 1 5,591 9 .7 1 ,574 1 .0 1 9 Male 8 0,563 4 0,306 5 0.0 1 7,023 2 1.1 1 5,313 1 9.0 7 ,050 8 .8 8 62 1 .1 9 Female 8 0,843 3 8,216 4 7.3 1 6,121 1 9.9 1 7,243 2 1.3 8 ,541 1 0.6 7 12 0 .9 1 0 KURESOI SOUTH 1 42,631 7 0,014 4 9.1 2 9,713 2 0.8 2 7,746 1 9.5 1 3,553 9 .5 1 ,603 1 .1 2 Male 7 1,731 3 6,116 5 0.3 1 5,372 2 1.4 1 3,129 1 8.3 6 ,231 8 .7 8 82 1 .2 1 Female 7 0,897 3 3,896 4 7.8 1 4,341 2 0.2 1 4,617 2 0.6 7 ,321 1 0.3 7 21 1 .0 1 MOLO 1 44,889 6 5,127 4 4.9 4 0,347 2 7.8 2 6,991 1 8.6 1 1,108 7 .7 1 ,311 0 .9 5 Male 7 2,141 3 3,330 4 6.2 2 0,721 2 8.7 1 2,707 1 7.6 4 ,639 6 .4 7 42 1 .0 2 Female 7 2,743 3 1,795 4 3.7 1 9,625 2 7.0 1 4,282 1 9.6 6 ,469 8 .9 5 69 0 .8 3 NAIVASHA 3 22,714 1 22,184 3 7.9 1 23,117 3 8.2 5 0,229 1 5.6 2 4,112 7 .5 3 ,005 0 .9 6 7 Male 1 61,071 6 1,761 3 8.3 6 3,148 3 9.2 2 3,533 1 4.6 1 0,813 6 .7 1 ,782 1 .1 3 4 Female 1 61,617 6 0,415 3 7.4 5 9,961 3 7.1 2 6,687 1 6.5 1 3,299 8 .2 1 ,222 0 .8 3 3 NAKURU EAST 1 76,055 6 7,868 3 8.5 7 8,049 4 4.3 2 1,206 1 2.0 7 ,575 4 .3 1 ,300 0 .7 5 7 Male 8 3,491 3 3,656 4 0.3 3 6,924 4 4.2 8 ,997 1 0.8 3 ,170 3 .8 7 12 0 .9 3 2 Female 9 2,556 3 4,210 3 7.0 4 1,122 4 4.4 1 2,206 1 3.2 4 ,405 4 .8 5 88 0 .6 2 5 NAKURU NORTH 2 01,190 8 2,270 4 0.9 7 4,572 3 7.1 3 0,096 1 5.0 1 2,628 6 .3 1 ,563 0 .8 6 1 Male 9 7,573 4 1,720 4 2.8 3 6,254 3 7.2 1 3,714 1 4.1 4 ,968 5 .1 8 83 0 .9 3 4 Female 1 03,602 4 0,543 3 9.1 3 8,313 3 7.0 1 6,380 1 5.8 7 ,659 7 .4 6 80 0 .7 2 7 NAKURU WEST 1 79,490 6 7,111 3 7.4 7 3,402 4 0.9 2 7,382 1 5.3 9 ,438 5 .3 2 ,151 1 .2 6 Male 9 1,321 3 3,350 3 6.5 3 9,006 4 2.7 1 3,262 1 4.5 4 ,468 4 .9 1 ,232 1 .3 3 Female 8 8,159 3 3,758 3 8.3 3 4,391 3 9.0 1 4,120 1 6.0 4 ,969 5 .6 9 18 1 .0 3 NJORO 2 20,036 1 01,530 4 6.1 5 8,727 2 6.7 4 0,721 1 8.5 1 7,932 8 .1 1 ,102 0 .5 2 4 Male 1 09,028 5 2,332 4 8.0 2 9,755 2 7.3 1 8,903 1 7.3 7 ,386 6 .8 6 43 0 .6 9 Female 1 11,005 4 9,198 4 4.3 2 8,971 2 6.1 2 1,816 1 9.7 1 0,546 9 .5 4 59 0 .4 1 5 RONGAI 1 84,553 8 0,687 4 3.7 5 9,302 3 2.1 2 7,883 1 5.1 1 5,439 8 .4 1 ,219 0 .7 2 3 Male 9 2,132 4 1,256 4 4.8 3 0,193 3 2.8 1 3,319 1 4.5 6 ,630 7 .2 7 23 0 .8 1 1 Female 9 2,417 3 9,428 4 2.7 2 9,108 3 1.5 1 4,564 1 5.8 8 ,809 9 .5 4 96 0 .5 1 2 SUBUKIA 7 9,115 3 5,457 4 4.8 2 4,537 3 1.0 1 1,674 1 4.8 6 ,893 8 .7 5 29 0 .7 2 5 Male 3 8,931 1 8,355 4 7.1 1 2,316 3 1.6 5 ,336 1 3.7 2 ,622 6 .7 2 90 0 .7 1 2 Female 4 0,183 1 7,101 4 2.6 1 2,221 3 0.4 6 ,338 1 5.8 4 ,271 1 0.6 2 39 0 .6 1 3 33

Page 47

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number NAROK 1 ,044,966 4 81,160 4 6.0 1 20,221 1 1.5 1 49,044 1 4.3 2 83,500 2 7.1 1 0,856 1 .0 1 85 Male 5 20,523 2 48,214 4 7.7 6 6,633 1 2.8 7 0,531 1 3.6 1 28,801 2 4.7 6 ,235 1 .2 1 09 Female 5 24,419 2 32,941 4 4.4 5 3,583 1 0.2 7 8,513 1 5.0 1 54,686 2 9.5 4 ,620 0 .9 7 6 NAROK EAST 1 04,856 4 6,371 4 4.2 1 1,863 1 1.3 1 1,325 1 0.8 3 4,572 3 3.0 7 18 0 .7 7 Male 5 3,336 2 3,840 4 4.7 6 ,641 1 2.5 5 ,784 1 0.8 1 6,620 3 1.2 4 47 0 .8 4 Female 5 1,513 2 2,531 4 3.7 5 ,222 1 0.1 5 ,541 1 0.8 1 7,945 3 4.8 2 71 0 .5 3 NAROK NORTH 2 27,649 9 9,145 4 3.6 4 3,798 1 9.2 2 8,886 1 2.7 5 2,742 2 3.2 3 ,023 1 .3 5 5 Male 1 15,452 5 0,396 4 3.7 2 3,748 2 0.6 1 4,679 1 2.7 2 4,916 2 1.6 1 ,679 1 .5 3 4 Female 1 12,188 4 8,746 4 3.5 2 0,047 1 7.9 1 4,207 1 2.7 2 7,824 2 4.8 1 ,343 1 .2 2 1 NAROK SOUTH 2 15,493 9 4,417 4 3.8 1 9,882 9 .2 2 8,289 1 3.1 7 0,907 3 2.9 1 ,972 0 .9 2 6 Male 1 06,882 4 9,039 4 5.9 1 0,999 1 0.3 1 3,225 1 2.4 3 2,472 3 0.4 1 ,132 1 .1 1 5 Female 1 08,609 4 5,378 4 1.8 8 ,882 8 .2 1 5,064 1 3.9 3 8,434 3 5.4 8 40 0 .8 1 1 NAROK WEST 1 71,981 7 3,667 4 2.8 1 2,336 7 .2 2 1,244 1 2.4 6 2,598 3 6.4 2 ,102 1 .2 3 4 Male 8 4,283 3 9,063 4 6.3 6 ,962 8 .3 9 ,820 1 1.7 2 7,249 3 2.3 1 ,167 1 .4 2 2 Female 8 7,696 3 4,604 3 9.5 5 ,373 6 .1 1 1,424 1 3.0 3 5,348 4 0.3 9 35 1 .1 1 2 TRANS MARA EAST 1 02,459 5 6,624 5 5.3 7 ,857 7 .7 1 9,405 1 8.9 1 8,012 1 7.6 5 43 0 .5 1 8 Male 5 0,134 2 9,303 5 8.4 4 ,292 8 .6 8 ,299 1 6.6 7 ,929 1 5.8 3 00 0 .6 1 1 Female 5 2,324 2 7,320 5 2.2 3 ,565 6 .8 1 1,106 2 1.2 1 0,083 1 9.3 2 43 0 .5 7 TRANS MARA WEST 2 22,496 1 10,934 4 9.9 2 4,455 1 1.0 3 9,895 1 7.9 4 4,669 2 0.1 2 ,498 1 .1 4 5 Male 1 10,408 5 6,572 5 1.2 1 3,964 1 2.6 1 8,724 1 7.0 1 9,615 1 7.8 1 ,510 1 .4 2 3 Female 1 12,085 5 4,361 4 8.5 1 0,491 9 .4 2 1,171 1 8.9 2 5,052 2 2.4 9 88 0 .9 2 2 MAU FOREST 3 2 2 6 .3 3 0 9 3.8 - - - - - - - Male 2 8 1 3 .6 2 7 9 6.4 - - - - - - - Female 4 1 2 5.0 3 7 5.0 - - - - - - - KAJIADO 1 ,016,058 3 89,090 3 8.3 3 19,689 3 1.5 1 11,477 1 1.0 1 82,329 1 7.9 1 3,146 1 .3 3 27 Male 5 04,023 1 95,925 3 8.9 1 64,069 3 2.6 5 4,115 1 0.7 8 2,454 1 6.4 7 ,321 1 .5 1 39 Female 5 12,004 1 93,153 3 7.7 1 55,610 3 0.4 5 7,359 1 1.2 9 9,870 1 9.5 5 ,824 1 .1 1 88 ISINYA 1 91,272 6 3,220 3 3.1 8 9,695 4 6.9 2 2,338 1 1.7 1 0,916 5 .7 4 ,937 2 .6 1 66 Male 9 5,366 3 1,257 3 2.8 4 5,330 4 7.5 1 0,786 1 1.3 5 ,342 5 .6 2 ,580 2 .7 7 1 Female 9 5,900 3 1,962 3 3.3 4 4,362 4 6.3 1 1,551 1 2.0 5 ,574 5 .8 2 ,356 2 .5 9 5 KAJIADO CENTRAL 1 45,212 6 3,843 4 4.0 2 5,520 1 7.6 1 1,582 8 .0 4 2,135 2 9.0 2 ,120 1 .5 1 2 Male 7 2,629 3 2,735 4 5.1 1 4,186 1 9.5 6 ,024 8 .3 1 8,445 2 5.4 1 ,238 1 .7 1 Female 7 2,580 3 1,107 4 2.9 1 1,334 1 5.6 5 ,558 7 .7 2 3,688 3 2.6 8 82 1 .2 1 1 KAJIADO NORTH 2 82,534 1 02,623 3 6.3 1 30,221 4 6.1 3 6,294 1 2.8 1 0,904 3 .9 2 ,411 0 .9 8 1 Male 1 38,169 5 0,880 3 6.8 6 4,576 4 6.7 1 6,476 1 1.9 4 ,885 3 .5 1 ,316 1 .0 3 6 Female 1 44,354 5 1,740 3 5.8 6 5,639 4 5.5 1 9,816 1 3.7 6 ,019 4 .2 1 ,095 0 .8 4 5 KAJIADO WEST 1 65,055 6 4,855 3 9.3 3 0,987 1 8.8 1 4,752 8 .9 5 2,986 3 2.1 1 ,434 0 .9 4 1 Male 8 2,432 3 3,179 4 0.3 1 6,708 2 0.3 7 ,462 9 .1 2 4,225 2 9.4 8 42 1 .0 1 6 Female 8 2,618 3 1,673 3 8.3 1 4,278 1 7.3 7 ,290 8 .8 2 8,760 3 4.8 5 92 0 .7 2 5 LOITOKITOK 1 73,159 7 0,006 4 0.4 2 8,958 1 6.7 1 8,750 1 0.8 5 3,977 3 1.2 1 ,445 0 .8 2 3 Male 8 5,227 3 5,391 4 1.5 1 5,485 1 8.2 9 ,387 1 1.0 2 4,074 2 8.2 8 76 1 .0 1 4 Female 8 7,927 3 4,612 3 9.4 1 3,473 1 5.3 9 ,363 1 0.6 2 9,901 3 4.0 5 69 0 .6 9 34

Page 48

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number MASHUURU 5 8,826 2 4,543 4 1.7 1 4,308 2 4.3 7 ,761 1 3.2 1 1,411 1 9.4 7 99 1 .4 4 Male 3 0,200 1 2,483 4 1.3 7 ,784 2 5.8 3 ,980 1 3.2 5 ,483 1 8.2 4 69 1 .6 1 Female 2 8,625 1 2,059 4 2.1 6 ,524 2 2.8 3 ,781 1 3.2 5 ,928 2 0.7 3 30 1 .2 3 KERICHO 8 34,061 3 87,109 4 6.4 2 01,479 2 4.2 1 72,473 2 0.7 6 8,545 8 .2 4 ,236 0 .5 2 19 Male 4 15,734 1 97,586 4 7.5 1 05,284 2 5.3 8 0,978 1 9.5 2 9,453 7 .1 2 ,323 0 .6 1 10 Female 4 18,300 1 89,513 4 5.3 9 6,187 2 3.0 9 1,489 2 1.9 3 9,089 9 .3 1 ,913 0 .5 1 09 BELGUT 1 35,941 6 0,638 4 4.6 3 7,090 2 7.3 2 8,745 2 1.1 8 ,879 6 .5 5 75 0 .4 1 4 Male 6 7,923 3 0,818 4 5.4 1 9,474 2 8.7 1 3,551 2 0.0 3 ,762 5 .5 3 10 0 .5 8 Female 6 8,018 2 9,820 4 3.8 1 7,616 2 5.9 1 5,194 2 2.3 5 ,117 7 .5 2 65 0 .4 6 BURETI 1 85,127 8 6,254 4 6.6 4 1,491 2 2.4 4 2,406 2 2.9 1 3,669 7 .4 1 ,290 0 .7 1 7 Male 9 1,535 4 3,631 4 7.7 2 1,617 2 3.6 1 9,708 2 1.5 5 ,924 6 .5 6 46 0 .7 9 Female 9 3,587 4 2,621 4 5.5 1 9,874 2 1.2 2 2,696 2 4.3 7 ,744 8 .3 6 44 0 .7 8 KERICHO EAST 1 56,786 6 7,745 4 3.2 4 7,847 3 0.5 2 9,259 1 8.7 1 1,236 7 .2 6 28 0 .4 7 1 Male 7 9,013 3 4,263 4 3.4 2 5,293 3 2.0 1 4,292 1 8.1 4 ,776 6 .0 3 53 0 .4 3 6 Female 7 7,766 3 3,482 4 3.1 2 2,550 2 9.0 1 4,965 1 9.2 6 ,459 8 .3 2 75 0 .4 3 5 KIPKELION 1 12,279 5 5,631 4 9.5 2 1,741 1 9.4 2 1,796 1 9.4 1 2,574 1 1.2 4 74 0 .4 6 3 Male 5 5,954 2 8,758 5 1.4 1 1,336 2 0.3 1 0,058 1 8.0 5 ,480 9 .8 2 88 0 .5 3 4 Female 5 6,321 2 6,872 4 7.7 1 0,403 1 8.5 1 1,738 2 0.8 7 ,093 1 2.6 1 86 0 .3 2 9 LONDIANI 1 26,773 6 0,196 4 7.5 3 1,132 2 4.6 2 4,176 1 9.1 1 0,776 8 .5 4 58 0 .4 3 5 Male 6 2,955 3 0,865 4 9.0 1 5,865 2 5.2 1 1,268 1 7.9 4 ,639 7 .4 3 03 0 .5 1 5 Female 6 3,808 2 9,325 4 6.0 1 5,265 2 3.9 1 2,906 2 0.2 6 ,137 9 .6 1 55 0 .2 2 0 SOIN SIGOWET 1 17,155 5 6,645 4 8.4 2 2,178 1 8.9 2 6,091 2 2.3 1 1,411 9 .7 8 11 0 .7 1 9 Male 5 8,354 2 9,251 5 0.1 1 1,699 2 0.0 1 2,101 2 0.7 4 ,872 8 .3 4 23 0 .7 8 Female 5 8,800 2 7,393 4 6.6 1 0,479 1 7.8 1 3,990 2 3.8 6 ,539 1 1.1 3 88 0 .7 1 1 BOMET 8 10,122 4 00,330 4 9.4 1 69,658 2 0.9 1 60,702 1 9.8 7 2,627 9 .0 6 ,730 0 .8 7 5 Male 4 00,694 2 05,930 5 1.4 8 8,746 2 2.1 7 2,327 1 8.1 3 0,078 7 .5 3 ,572 0 .9 4 1 Female 4 09,407 1 94,390 4 7.5 8 0,911 1 9.8 8 8,369 2 1.6 4 2,545 1 0.4 3 ,158 0 .8 3 4 BOMET EAST 1 32,732 6 6,149 4 9.8 2 4,702 1 8.6 2 6,037 1 9.6 1 4,280 1 0.8 1 ,539 1 .2 2 5 Male 6 5,185 3 4,557 5 3.0 1 2,710 1 9.5 1 1,263 1 7.3 5 ,868 9 .0 7 73 1 .2 1 4 Female 6 7,541 3 1,590 4 6.8 1 1,992 1 7.8 1 4,771 2 1.9 8 ,411 1 2.5 7 66 1 .1 1 1 CHEPALUNGU 1 52,423 8 0,719 5 3.0 2 4,117 1 5.8 3 0,134 1 9.8 1 6,625 1 0.9 8 21 0 .5 7 Male 7 3,652 4 1,395 5 6.2 1 2,619 1 7.1 1 2,597 1 7.1 6 ,580 8 .9 4 57 0 .6 4 Female 7 8,767 3 9,321 4 9.9 1 1,498 1 4.6 1 7,537 2 2.3 1 0,044 1 2.8 3 64 0 .5 3 KONOIN 1 52,161 7 1,277 4 6.8 3 3,637 2 2.1 3 4,293 2 2.5 1 1,086 7 .3 1 ,856 1 .2 1 2 Male 7 7,411 3 6,629 4 7.3 1 8,188 2 3.5 1 6,618 2 1.5 5 ,006 6 .5 9 62 1 .2 8 Female 7 4,747 3 4,646 4 6.4 1 5,449 2 0.7 1 7,674 2 3.6 6 ,080 8 .1 8 94 1 .2 4 SOTIK 2 11,301 1 06,570 5 0.4 4 5,651 2 1.6 3 9,736 1 8.8 1 7,883 8 .5 1 ,449 0 .7 1 2 Male 1 03,882 5 4,539 5 2.5 2 3,484 2 2.6 1 7,851 1 7.2 7 ,186 6 .9 8 17 0 .8 5 Female 1 07,415 5 2,029 4 8.4 2 2,166 2 0.6 2 1,885 2 0.4 1 0,696 1 0.0 6 32 0 .6 7 35

Page 49

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number BOMET CENTRAL 1 61,505 7 5,615 4 6.8 4 1,551 2 5.7 3 0,502 1 8.9 1 2,753 7 .9 1 ,065 0 .7 1 9 Male 8 0,564 3 8,810 4 8.2 2 1,745 2 7.0 1 3,998 1 7.4 5 ,438 6 .7 5 63 0 .7 1 0 Female 8 0,937 3 6,804 4 5.5 1 9,806 2 4.5 1 6,502 2 0.4 7 ,314 9 .0 5 02 0 .6 9 KAKAMEGA 1 ,732,145 8 53,031 4 9.2 3 34,397 1 9.3 3 52,269 2 0.3 1 80,344 1 0.4 1 1,722 0 .7 3 82 Male 8 28,945 4 28,344 5 1.7 1 62,596 1 9.6 1 57,153 1 9.0 7 4,543 9 .0 6 ,139 0 .7 1 70 Female 9 03,166 4 24,667 4 7.0 1 71,796 1 9.0 1 95,111 2 1.6 1 05,797 1 1.7 5 ,583 0 .6 2 12 BUTERE 1 43,388 7 0,109 4 8.9 2 6,340 1 8.4 2 9,273 2 0.4 1 6,847 1 1.7 8 06 0 .6 1 3 Male 6 8,366 3 5,289 5 1.6 1 2,891 1 8.9 1 3,115 1 9.2 6 ,656 9 .7 4 08 0 .6 7 Female 7 5,019 3 4,818 4 6.4 1 3,449 1 7.9 1 6,158 2 1.5 1 0,190 1 3.6 3 98 0 .5 6 KAKAMEGA CENTRAL 1 73,048 7 8,154 4 5.2 4 9,761 2 8.8 3 2,167 1 8.6 1 1,843 6 .8 1 ,081 0 .6 4 2 Male 8 4,569 3 8,893 4 6.0 2 4,796 2 9.3 1 5,145 1 7.9 5 ,123 6 .1 5 96 0 .7 1 6 Female 8 8,477 3 9,260 4 4.4 2 4,964 2 8.2 1 7,022 1 9.2 6 ,720 7 .6 4 85 0 .5 2 6 KAKAMEGA EAST 1 55,365 7 3,954 4 7.6 2 9,810 1 9.2 3 3,756 2 1.7 1 6,892 1 0.9 7 93 0 .5 1 60 Male 7 4,398 3 7,256 5 0.1 1 4,188 1 9.1 1 5,504 2 0.8 6 ,968 9 .4 4 13 0 .6 6 9 Female 8 0,963 3 6,695 4 5.3 1 5,622 1 9.3 1 8,252 2 2.5 9 ,923 1 2.3 3 80 0 .5 9 1 KAKAMEGA NORTH 2 21,048 1 12,147 5 0.7 4 3,264 1 9.6 4 5,240 2 0.5 1 9,204 8 .7 1 ,149 0 .5 4 4 Male 1 06,855 5 6,409 5 2.8 2 1,419 2 0.0 2 0,134 1 8.8 8 ,247 7 .7 6 26 0 .6 2 0 Female 1 14,188 5 5,734 4 8.8 2 1,844 1 9.1 2 5,106 2 2.0 1 0,957 9 .6 5 23 0 .5 2 4 KAKAMEGA SOUTH 1 04,341 5 0,293 4 8.2 1 9,990 1 9.2 2 2,028 2 1.1 1 1,438 1 1.0 5 75 0 .6 1 7 Male 4 9,548 2 5,084 5 0.6 9 ,402 1 9.0 1 0,076 2 0.3 4 ,702 9 .5 2 75 0 .6 9 Female 5 4,793 2 5,209 4 6.0 1 0,588 1 9.3 1 1,952 2 1.8 6 ,736 1 2.3 3 00 0 .5 8 KHWISERO 1 06,001 5 1,333 4 8.4 2 0,061 1 8.9 2 2,911 2 1.6 1 1,292 1 0.7 3 94 0 .4 1 0 Male 4 9,957 2 5,687 5 1.4 9 ,601 1 9.2 1 0,056 2 0.1 4 ,404 8 .8 2 05 0 .4 4 Female 5 6,041 2 5,645 4 5.8 1 0,459 1 8.7 1 2,854 2 2.9 6 ,888 1 2.3 1 89 0 .3 6 LIKUYANI 1 41,338 6 8,899 4 8.7 2 9,353 2 0.8 2 7,918 1 9.8 1 3,156 9 .3 1 ,998 1 .4 1 4 Male 6 8,337 3 4,856 5 1.0 1 4,191 2 0.8 1 2,400 1 8.1 5 ,802 8 .5 1 ,078 1 .6 1 0 Female 7 2,998 3 4,041 4 6.6 1 5,162 2 0.8 1 5,518 2 1.3 7 ,353 1 0.1 9 20 1 .3 4 LUGARI 1 14,040 5 5,233 4 8.4 2 6,842 2 3.5 2 1,670 1 9.0 9 ,706 8 .5 5 82 0 .5 7 Male 5 4,848 2 7,808 5 0.7 1 2,921 2 3.6 9 ,582 1 7.5 4 ,235 7 .7 2 99 0 .5 3 Female 5 9,192 2 7,425 4 6.3 1 3,921 2 3.5 1 2,088 2 0.4 5 ,471 9 .2 2 83 0 .5 4 MATETE 6 1,383 3 1,089 5 0.6 1 1,045 1 8.0 1 1,666 1 9.0 6 ,512 1 0.6 1 ,071 1 .7 - Male 2 9,404 1 5,709 5 3.4 5 ,367 1 8.3 4 ,982 1 6.9 2 ,818 9 .6 5 28 1 .8 - Female 3 1,979 1 5,380 4 8.1 5 ,678 1 7.8 6 ,684 2 0.9 3 ,694 1 1.6 5 43 1 .7 - MATUNGU 1 54,460 7 8,781 5 1.0 1 9,787 1 2.8 3 1,220 2 0.2 2 3,262 1 5.1 1 ,389 0 .9 2 1 Male 7 2,733 3 9,392 5 4.2 9 ,561 1 3.1 1 3,682 1 8.8 9 ,366 1 2.9 7 21 1 .0 1 1 Female 8 1,724 3 9,387 4 8.2 1 0,226 1 2.5 1 7,537 2 1.5 1 3,896 1 7.0 6 68 0 .8 1 0 MUMIAS EAST 1 08,468 5 5,214 5 0.9 1 6,979 1 5.7 2 3,567 2 1.7 1 2,120 1 1.2 5 83 0 .5 5 Male 5 1,751 2 7,824 5 3.8 8 ,293 1 6.0 1 0,485 2 0.3 4 ,842 9 .4 3 05 0 .6 2 Female 5 6,714 2 7,388 4 8.3 8 ,685 1 5.3 1 3,082 2 3.1 7 ,278 1 2.8 2 78 0 .5 3 36

Page 50

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number MUMIAS WEST 1 06,473 5 3,145 4 9.9 2 0,060 1 8.8 2 0,588 1 9.3 1 2,011 1 1.3 6 42 0 .6 2 7 Male 5 0,529 2 6,655 5 2.8 9 ,728 1 9.3 9 ,088 1 8.0 4 ,688 9 .3 3 59 0 .7 1 1 Female 5 5,943 2 6,490 4 7.4 1 0,332 1 8.5 1 1,499 2 0.6 7 ,323 1 3.1 2 83 0 .5 1 6 NAVAKHOLO 1 42,792 7 4,680 5 2.3 2 1,105 1 4.8 3 0,265 2 1.2 1 6,061 1 1.2 6 59 0 .5 2 2 Male 6 7,650 3 7,482 5 5.4 1 0,238 1 5.1 1 2,904 1 9.1 6 ,692 9 .9 3 26 0 .5 8 Female 7 5,135 3 7,195 4 9.5 1 0,866 1 4.5 1 7,359 2 3.1 9 ,368 1 2.5 3 33 0 .4 1 4 VIHIGA 5 50,070 2 57,982 4 6.9 1 28,847 2 3.4 1 15,345 2 1.0 4 4,178 8 .0 3 ,623 0 .7 9 5 Male 2 63,949 1 29,422 4 9.0 6 1,789 2 3.4 5 2,189 1 9.8 1 8,682 7 .1 1 ,815 0 .7 5 2 Female 2 86,112 1 28,556 4 4.9 6 7,055 2 3.4 6 3,154 2 2.1 2 5,496 8 .9 1 ,808 0 .6 4 3 EMUHAYA 9 0,814 4 2,853 4 7.2 1 8,377 2 0.2 2 0,425 2 2.5 8 ,487 9 .3 6 54 0 .7 1 8 Male 4 3,383 2 1,470 4 9.5 8 ,563 1 9.7 9 ,363 2 1.6 3 ,648 8 .4 3 29 0 .8 1 0 Female 4 7,430 2 1,383 4 5.1 9 ,813 2 0.7 1 1,062 2 3.3 4 ,839 1 0.2 3 25 0 .7 8 VIHIGA 8 8,664 4 1,104 4 6.4 2 3,313 2 6.3 1 7,596 1 9.8 5 ,965 6 .7 6 60 0 .7 2 6 Male 4 2,455 2 0,629 4 8.6 1 1,222 2 6.4 7 ,701 1 8.1 2 ,570 6 .1 3 16 0 .7 1 7 Female 4 6,207 2 0,475 4 4.3 1 2,089 2 6.2 9 ,895 2 1.4 3 ,395 7 .3 3 44 0 .7 9 SABATIA 1 22,708 5 7,435 4 6.8 3 2,383 2 6.4 2 4,106 1 9.6 7 ,839 6 .4 9 30 0 .8 1 5 Male 5 8,591 2 8,652 4 8.9 1 5,571 2 6.6 1 0,669 1 8.2 3 ,224 5 .5 4 69 0 .8 6 Female 6 4,116 2 8,782 4 4.9 1 6,812 2 6.2 1 3,437 2 1.0 4 ,615 7 .2 4 61 0 .7 9 LUANDA 9 8,821 4 5,308 4 5.8 2 4,126 2 4.4 2 0,405 2 0.6 8 ,330 8 .4 6 25 0 .6 2 7 Male 4 7,692 2 2,740 4 7.7 1 1,725 2 4.6 9 ,371 1 9.6 3 ,522 7 .4 3 20 0 .7 1 4 Female 5 1,127 2 2,568 4 4.1 1 2,401 2 4.3 1 1,032 2 1.6 4 ,808 9 .4 3 05 0 .6 1 3 HAMISI 1 49,047 7 1,281 4 7.8 3 0,634 2 0.6 3 2,812 2 2.0 1 3,557 9 .1 7 54 0 .5 9 Male 7 1,816 3 5,931 5 0.0 1 4,696 2 0.5 1 5,085 2 1.0 5 ,718 8 .0 3 81 0 .5 5 Female 7 7,228 3 5,347 4 5.8 1 5,938 2 0.6 1 7,727 2 3.0 7 ,839 1 0.2 3 73 0 .5 4 KAKAMEGA FOREST 1 6 1 6 .3 1 4 8 7.5 1 6 .3 - - - - - Male 1 2 - - 1 2 1 00.0 - - - - - - - Female 4 1 2 5.0 2 5 0.0 1 2 5.0 - - - - - BUNGOMA 1 ,538,767 7 82,677 5 0.9 2 64,282 1 7.2 3 24,058 2 1.1 1 51,938 9 .9 1 5,673 1 .0 1 39 Male 7 45,883 3 96,144 5 3.1 1 33,462 1 7.9 1 40,682 1 8.9 6 7,323 9 .0 8 ,198 1 .1 7 4 Female 7 92,851 3 86,512 4 8.7 1 30,817 1 6.5 1 83,372 2 3.1 8 4,612 1 0.7 7 ,473 0 .9 6 5 BUMULA 1 99,499 1 02,696 5 1.5 2 3,670 1 1.9 4 5,969 2 3.0 2 4,883 1 2.5 2 ,279 1 .1 2 Male 9 5,312 5 1,685 5 4.2 1 1,881 1 2.5 1 9,870 2 0.8 1 0,710 1 1.2 1 ,164 1 .2 2 Female 1 04,186 5 1,010 4 9.0 1 1,789 1 1.3 2 6,099 2 5.1 1 4,173 1 3.6 1 ,115 1 .1 - BUNGOMA CENTRAL 1 63,799 8 3,204 5 0.8 2 9,747 1 8.2 3 5,007 2 1.4 1 4,301 8 .7 1 ,536 0 .9 4 Male 7 9,315 4 1,882 5 2.8 1 5,216 1 9.2 1 4,990 1 8.9 6 ,429 8 .1 7 95 1 .0 3 Female 8 4,477 4 1,319 4 8.9 1 4,529 1 7.2 2 0,017 2 3.7 7 ,871 9 .3 7 40 0 .9 1 BUNGOMA EAST 1 06,122 5 4,673 5 1.5 2 0,946 1 9.7 2 2,353 2 1.1 7 ,292 6 .9 8 36 0 .8 2 2 Male 5 1,497 2 7,756 5 3.9 1 0,382 2 0.2 9 ,670 1 8.8 3 ,211 6 .2 4 67 0 .9 1 1 Female 5 4,623 2 6,916 4 9.3 1 0,564 1 9.3 1 2,682 2 3.2 4 ,081 7 .5 3 69 0 .7 1 1 37

Page 51

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number BUNGOMA NORTH 1 11,891 5 8,637 5 2.4 2 1,859 1 9.5 2 2,370 2 0.0 8 ,342 7 .5 6 70 0 .6 1 3 Male 5 4,098 2 9,768 5 5.0 1 0,753 1 9.9 9 ,422 1 7.4 3 ,780 7 .0 3 68 0 .7 7 Female 5 7,792 2 8,868 5 0.0 1 1,106 1 9.2 1 2,948 2 2.4 4 ,562 7 .9 3 02 0 .5 6 BUNGOMA SOUTH 2 63,411 1 27,072 4 8.2 5 8,794 2 2.3 4 6,617 1 7.7 2 7,947 1 0.6 2 ,967 1 .1 1 4 Male 1 26,979 6 3,234 4 9.8 2 9,269 2 3.1 2 0,605 1 6.2 1 2,377 9 .7 1 ,489 1 .2 5 Female 1 36,427 6 3,836 4 6.8 2 9,524 2 1.6 2 6,011 1 9.1 1 5,569 1 1.4 1 ,478 1 .1 9 CHEPTAIS 1 24,273 6 4,726 5 2.1 1 3,085 1 0.5 2 9,321 2 3.6 1 5,042 1 2.1 2 ,080 1 .7 1 9 Male 6 1,904 3 3,517 5 4.1 7 ,274 1 1.8 1 3,138 2 1.2 6 ,852 1 1.1 1 ,109 1 .8 1 4 Female 6 2,363 3 1,205 5 0.0 5 ,811 9 .3 1 6,182 2 5.9 8 ,190 1 3.1 9 70 1 .6 5 KIMILILI 1 49,814 7 4,973 5 0.0 2 6,056 1 7.4 3 0,550 2 0.4 1 6,170 1 0.8 2 ,060 1 .4 5 Male 7 2,387 3 7,873 5 2.3 1 2,952 1 7.9 1 3,137 1 8.1 7 ,363 1 0.2 1 ,060 1 .5 2 Female 7 7,424 3 7,097 4 7.9 1 3,104 1 6.9 1 7,413 2 2.5 8 ,807 1 1.4 1 ,000 1 .3 3 MT. ELGON 7 2,721 3 8,081 5 2.4 1 0,298 1 4.2 1 6,086 2 2.1 7 ,969 1 1.0 2 82 0 .4 5 Male 3 5,916 1 9,547 5 4.4 5 ,541 1 5.4 7 ,256 2 0.2 3 ,403 9 .5 1 66 0 .5 3 Female 3 6,802 1 8,532 5 0.4 4 ,757 1 2.9 8 ,829 2 4.0 4 ,566 1 2.4 1 16 0 .3 2 BUNGOMA WEST 1 10,636 5 6,958 5 1.5 1 5,814 1 4.3 2 5,555 2 3.1 1 1,050 1 0.0 1 ,228 1 .1 3 1 Male 5 3,608 2 8,777 5 3.7 8 ,210 1 5.3 1 1,202 2 0.9 4 ,766 8 .9 6 39 1 .2 1 4 Female 5 7,027 2 8,180 4 9.4 7 ,604 1 3.3 1 4,353 2 5.2 6 ,284 1 1.0 5 89 1 .0 1 7 TONGAREN 9 2,891 4 7,790 5 1.4 1 7,707 1 9.1 1 8,403 1 9.8 8 ,577 9 .2 3 98 0 .4 1 6 Male 4 4,960 2 4,466 5 4.4 8 ,646 1 9.2 7 ,817 1 7.4 3 ,800 8 .5 2 23 0 .5 8 Female 4 7,930 2 3,323 4 8.7 9 ,061 1 8.9 1 0,586 2 2.1 4 ,777 1 0.0 1 75 0 .4 8 WEBUYE WEST 1 40,446 7 2,319 5 1.5 2 6,144 1 8.6 3 0,935 2 2.0 9 ,717 6 .9 1 ,323 0 .9 8 Male 6 8,209 3 6,806 5 4.0 1 3,251 1 9.4 1 3,100 1 9.2 4 ,337 6 .4 7 10 1 .0 5 Female 7 2,234 3 5,511 4 9.2 1 2,893 1 7.8 1 7,835 2 4.7 5 ,379 7 .4 6 13 0 .8 3 MT. ELGON FOREST 3 ,264 1 ,548 4 7.4 1 62 5 .0 8 92 2 7.3 6 48 1 9.9 1 4 0 .4 - Male 1 ,698 8 33 4 9.1 8 7 5 .1 4 75 2 8.0 2 95 1 7.4 8 0 .5 - Female 1 ,566 7 15 4 5.7 7 5 4 .8 4 17 2 6.6 3 53 2 2.5 6 0 .4 - BUSIA 8 20,788 4 05,072 4 9.4 1 36,790 1 6.7 1 70,347 2 0.8 1 02,993 1 2.5 5 ,512 0 .7 7 4 Male 3 88,748 2 02,993 5 2.2 7 0,030 1 8.0 7 3,630 1 8.9 3 9,069 1 0.0 2 ,991 0 .8 3 5 Female 4 32,013 2 02,061 4 6.8 6 6,760 1 5.5 9 6,713 2 2.4 6 3,919 1 4.8 2 ,521 0 .6 3 9 BUNYALA 7 9,588 3 8,459 4 8.3 1 2,582 1 5.8 1 8,852 2 3.7 8 ,892 1 1.2 7 97 1 .0 6 Male 3 8,196 1 9,533 5 1.1 6 ,901 1 8.1 8 ,366 2 1.9 2 ,952 7 .7 4 41 1 .2 3 Female 4 1,391 1 8,926 4 5.7 5 ,681 1 3.7 1 0,485 2 5.3 5 ,940 1 4.4 3 56 0 .9 3 BUSIA 1 28,002 6 0,486 4 7.3 2 5,528 1 9.9 2 5,909 2 0.2 1 5,031 1 1.7 1 ,010 0 .8 3 8 Male 6 0,908 3 0,010 4 9.3 1 3,115 2 1.5 1 1,384 1 8.7 5 ,829 9 .6 5 50 0 .9 2 0 Female 6 7,093 3 0,475 4 5.4 1 2,413 1 8.5 1 4,525 2 1.6 9 ,202 1 3.7 4 60 0 .7 1 8 BUTULA 1 29,739 6 5,364 5 0.4 1 9,817 1 5.3 2 3,655 1 8.2 2 0,108 1 5.5 7 92 0 .6 3 Male 5 9,856 3 2,668 5 4.6 9 ,489 1 5.9 9 ,782 1 6.3 7 ,512 1 2.6 4 03 0 .7 2 Female 6 9,880 3 2,695 4 6.8 1 0,328 1 4.8 1 3,872 1 9.9 1 2,595 1 8.0 3 89 0 .6 1 38

Page 52

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number NAMBALE 1 03,180 5 2,698 5 1.1 1 6,456 1 5.9 2 0,627 2 0.0 1 2,421 1 2.0 9 69 0 .9 9 Male 4 8,653 2 6,187 5 3.8 8 ,113 1 6.7 8 ,869 1 8.2 4 ,964 1 0.2 5 17 1 .1 3 Female 5 4,523 2 6,509 4 8.6 8 ,343 1 5.3 1 1,757 2 1.6 7 ,456 1 3.7 4 52 0 .8 6 SAMIA 9 9,108 4 8,054 4 8.5 1 5,902 1 6.0 2 1,443 2 1.6 1 3,405 1 3.5 3 04 0 .3 - Male 4 6,819 2 4,303 5 1.9 8 ,394 1 7.9 9 ,116 1 9.5 4 ,817 1 0.3 1 89 0 .4 - Female 5 2,275 2 3,739 4 5.4 7 ,508 1 4.4 1 2,327 2 3.6 8 ,586 1 6.4 1 15 0 .2 - TESO NORTH 1 26,387 6 3,423 5 0.2 2 1,859 1 7.3 2 8,497 2 2.5 1 2,061 9 .5 5 43 0 .4 4 Male 6 0,543 3 1,916 5 2.7 1 1,242 1 8.6 1 2,290 2 0.3 4 ,785 7 .9 3 08 0 .5 2 Female 6 5,842 3 1,506 4 7.9 1 0,617 1 6.1 1 6,207 2 4.6 7 ,275 1 1.0 2 35 0 .4 2 TESO SOUTH 1 54,784 7 6,588 4 9.5 2 4,646 1 5.9 3 1,364 2 0.3 2 1,075 1 3.6 1 ,097 0 .7 1 4 Male 7 3,773 3 8,376 5 2.0 1 2,776 1 7.3 1 3,823 1 8.7 8 ,210 1 1.1 5 83 0 .8 5 Female 8 1,009 3 8,211 4 7.2 1 1,870 1 4.7 1 7,540 2 1.7 1 2,865 1 5.9 5 14 0 .6 9 SIAYA 9 19,461 4 41,450 4 8.0 1 98,100 2 1.5 1 84,768 2 0.1 8 6,173 9 .4 8 ,648 0 .9 3 22 Male 4 34,630 2 23,195 5 1.4 9 7,782 2 2.5 7 8,383 1 8.0 3 0,230 7 .0 4 ,877 1 .1 1 63 Female 4 84,814 2 18,250 4 5.0 1 00,315 2 0.7 1 06,377 2 1.9 5 5,942 1 1.5 3 ,771 0 .8 1 59 SIAYA 2 07,196 9 7,831 4 7.2 4 3,168 2 0.8 4 1,994 2 0.3 2 2,128 1 0.7 1 ,965 0 .9 1 10 Male 9 7,050 4 9,139 5 0.6 2 1,121 2 1.8 1 8,085 1 8.6 7 ,523 7 .8 1 ,125 1 .2 5 7 Female 1 10,142 4 8,691 4 4.2 2 2,046 2 0.0 2 3,907 2 1.7 1 4,605 1 3.3 8 40 0 .8 5 3 GEM 1 66,766 7 9,914 4 7.9 3 4,624 2 0.8 3 5,779 2 1.5 1 4,980 9 .0 1 ,398 0 .8 7 1 Male 7 9,237 4 0,606 5 1.2 1 7,056 2 1.5 1 5,532 1 9.6 5 ,267 6 .6 7 39 0 .9 3 7 Female 8 7,525 3 9,306 4 4.9 1 7,567 2 0.1 2 0,247 2 3.1 9 ,712 1 1.1 6 59 0 .8 3 4 UGENYA 1 25,274 6 0,785 4 8.5 2 3,705 1 8.9 2 4,012 1 9.2 1 5,875 1 2.7 8 86 0 .7 1 1 Male 5 8,138 3 1,007 5 3.3 1 1,369 1 9.6 9 ,911 1 7.0 5 ,314 9 .1 5 30 0 .9 7 Female 6 7,132 2 9,777 4 4.4 1 2,335 1 8.4 1 4,099 2 1.0 1 0,561 1 5.7 3 56 0 .5 4 UGUNJA 9 6,903 4 6,310 4 7.8 2 1,591 2 2.3 1 8,182 1 8.8 1 0,037 1 0.4 7 76 0 .8 7 Male 4 5,246 2 3,305 5 1.5 1 0,587 2 3.4 7 ,495 1 6.6 3 ,440 7 .6 4 15 0 .9 4 Female 5 1,657 2 3,005 4 4.5 1 1,004 2 1.3 1 0,687 2 0.7 6 ,597 1 2.8 3 61 0 .7 3 BONDO 1 81,834 8 6,934 4 7.8 4 4,207 2 4.3 3 6,522 2 0.1 1 2,223 6 .7 1 ,887 1 .0 6 1 Male 8 7,903 4 3,785 4 9.8 2 2,216 2 5.3 1 5,868 1 8.1 4 ,844 5 .5 1 ,160 1 .3 3 0 Female 9 3,928 4 3,148 4 5.9 2 1,991 2 3.4 2 0,652 2 2.0 7 ,379 7 .9 7 27 0 .8 3 1 RARIEDA 1 41,488 6 9,676 4 9.2 3 0,805 2 1.8 2 8,279 2 0.0 1 0,930 7 .7 1 ,736 1 .2 6 2 Male 6 7,056 3 5,353 5 2.7 1 5,433 2 3.0 1 1,492 1 7.1 3 ,842 5 .7 9 08 1 .4 2 8 Female 7 4,430 3 4,323 4 6.1 1 5,372 2 0.7 1 6,785 2 2.6 7 ,088 9 .5 8 28 1 .1 3 4 KISUMU 1 ,061,224 5 04,812 4 7.6 2 84,283 2 6.8 1 88,709 1 7.8 7 5,998 7 .2 7 ,121 0 .7 3 01 Male 5 11,739 2 53,600 4 9.6 1 44,815 2 8.3 8 0,326 1 5.7 2 9,019 5 .7 3 ,831 0 .7 1 48 Female 5 49,465 2 51,209 4 5.7 1 39,457 2 5.4 1 08,379 1 9.7 4 6,977 8 .5 3 ,290 0 .6 1 53 KISUMU EAST 2 02,479 8 9,998 4 4.4 6 4,182 3 1.7 3 5,745 1 7.7 1 1,405 5 .6 1 ,080 0 .5 6 9 Male 9 9,157 4 4,568 4 4.9 3 3,362 3 3.6 1 5,767 1 5.9 4 ,820 4 .9 6 11 0 .6 2 9 Female 1 03,318 4 5,429 4 4.0 3 0,818 2 9.8 1 9,977 1 9.3 6 ,585 6 .4 4 69 0 .5 4 0 39

Page 53

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number KISUMU CENTRAL 1 58,191 6 8,344 4 3.2 6 1,681 3 9.0 2 1,121 1 3.4 5 ,880 3 .7 1 ,105 0 .7 6 0 Male 7 5,722 3 2,743 4 3.2 3 0,767 4 0.6 8 ,988 1 1.9 2 ,584 3 .4 6 11 0 .8 2 9 Female 8 2,465 3 5,601 4 3.2 3 0,911 3 7.5 1 2,132 1 4.7 3 ,296 4 .0 4 94 0 .6 3 1 KISUMU WEST 1 57,473 7 5,229 4 7.8 4 2,160 2 6.8 2 8,200 1 7.9 1 0,912 6 .9 9 32 0 .6 4 0 Male 7 6,922 3 8,152 4 9.6 2 1,797 2 8.3 1 2,172 1 5.8 4 ,255 5 .5 5 25 0 .7 2 1 Female 8 0,548 3 7,077 4 6.0 2 0,361 2 5.3 1 6,027 1 9.9 6 ,657 8 .3 4 07 0 .5 1 9 SEME 1 12,594 5 6,390 5 0.1 2 3,769 2 1.1 2 0,862 1 8.5 1 1,084 9 .8 4 77 0 .4 1 2 Male 5 3,097 2 8,762 5 4.2 1 1,729 2 2.1 8 ,430 1 5.9 3 ,904 7 .4 2 66 0 .5 6 Female 5 9,495 2 7,628 4 6.4 1 2,039 2 0.2 1 2,432 2 0.9 7 ,179 1 2.1 2 11 0 .4 6 MUHORONI 1 41,120 6 8,825 4 8.8 2 8,826 2 0.4 2 9,536 2 0.9 1 2,651 9 .0 1 ,251 0 .9 3 1 Male 6 9,743 3 5,108 5 0.3 1 5,374 2 2.0 1 3,517 1 9.4 5 ,054 7 .2 6 72 1 .0 1 8 Female 7 1,376 3 3,716 4 7.2 1 3,452 1 8.8 1 6,019 2 2.4 7 ,597 1 0.6 5 79 0 .8 1 3 NYANDO 1 49,436 7 3,976 4 9.5 3 4,433 2 3.0 2 7,043 1 8.1 1 2,561 8 .4 1 ,381 0 .9 4 2 Male 7 1,048 3 7,454 5 2.7 1 7,294 2 4.3 1 1,030 1 5.5 4 ,526 6 .4 7 23 1 .0 2 1 Female 7 8,383 3 6,521 4 6.6 1 7,136 2 1.9 1 6,013 2 0.4 8 ,034 1 0.2 6 58 0 .8 2 1 NYAKACH 1 39,931 7 2,050 5 1.5 2 9,232 2 0.9 2 6,202 1 8.7 1 1,505 8 .2 8 95 0 .6 4 7 Male 6 6,050 3 6,813 5 5.7 1 4,492 2 1.9 1 0,422 1 5.8 3 ,876 5 .9 4 23 0 .6 2 4 Female 7 3,880 3 5,237 4 7.7 1 4,740 2 0.0 1 5,779 2 1.4 7 ,629 1 0.3 4 72 0 .6 2 3 HOMA BAY 1 ,037,468 5 39,753 5 2.0 1 96,288 1 8.9 2 00,313 1 9.3 9 4,406 9 .1 6 ,627 0 .6 8 1 Male 4 91,680 2 74,952 5 5.9 9 8,363 2 0.0 7 9,996 1 6.3 3 4,878 7 .1 3 ,451 0 .7 4 0 Female 5 45,768 2 64,796 4 8.5 9 7,920 1 7.9 1 20,311 2 2.0 5 9,526 1 0.9 3 ,174 0 .6 4 1 HOMA BAY 1 06,961 5 4,222 5 0.7 2 6,496 2 4.8 1 7,746 1 6.6 7 ,718 7 .2 7 67 0 .7 1 2 Male 5 0,299 2 7,015 5 3.7 1 3,192 2 6.2 6 ,818 1 3.6 2 ,857 5 .7 4 11 0 .8 6 Female 5 6,661 2 7,207 4 8.0 1 3,303 2 3.5 1 0,928 1 9.3 4 ,861 8 .6 3 56 0 .6 6 NDHIWA 1 98,409 1 05,309 5 3.1 2 8,387 1 4.3 4 3,093 2 1.7 2 0,505 1 0.3 1 ,103 0 .6 1 2 Male 9 3,863 5 3,904 5 7.4 1 4,641 1 5.6 1 7,114 1 8.2 7 ,627 8 .1 5 71 0 .6 6 Female 1 04,539 5 1,403 4 9.2 1 3,745 1 3.1 2 5,977 2 4.8 1 2,877 1 2.3 5 31 0 .5 6 RACHUONYO NORTH 1 65,147 8 4,682 5 1.3 3 2,958 2 0.0 3 2,781 1 9.8 1 3,878 8 .4 8 29 0 .5 1 9 Male 7 8,464 4 3,300 5 5.2 1 6,599 2 1.2 1 3,138 1 6.7 4 ,949 6 .3 4 68 0 .6 1 0 Female 8 6,679 4 1,382 4 7.7 1 6,359 1 8.9 1 9,640 2 2.7 8 ,928 1 0.3 3 61 0 .4 9 RACHUONYO EAST 1 12,267 6 0,292 5 3.7 2 0,594 1 8.3 2 1,293 1 9.0 9 ,434 8 .4 6 52 0 .6 2 Male 5 2,912 3 0,901 5 8.4 1 0,085 1 9.1 8 ,337 1 5.8 3 ,260 6 .2 3 28 0 .6 1 Female 5 9,353 2 9,390 4 9.5 1 0,508 1 7.7 1 2,956 2 1.8 6 ,174 1 0.4 3 24 0 .5 1 RACHUONYO SOUTH 1 20,330 6 3,280 5 2.6 2 6,103 2 1.7 2 1,508 1 7.9 8 ,804 7 .3 6 33 0 .5 2 Male 5 6,383 3 1,952 5 6.7 1 2,557 2 2.3 8 ,379 1 4.9 3 ,160 5 .6 3 34 0 .6 1 Female 6 3,947 3 1,328 4 9.0 1 3,546 2 1.2 1 3,129 2 0.5 5 ,644 8 .8 2 99 0 .5 1 RANGWE 1 08,345 5 7,746 5 3.3 1 7,420 1 6.1 2 0,795 1 9.2 1 0,835 1 0.0 1 ,535 1 .4 1 4 Male 5 0,653 2 9,547 5 8.3 8 ,345 1 6.5 8 ,132 1 6.1 3 ,862 7 .6 7 62 1 .5 5 Female 5 7,689 2 8,197 4 8.9 9 ,075 1 5.7 1 2,663 2 2.0 6 ,973 1 2.1 7 72 1 .3 9 40

Page 54

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number SUBA NORTH 1 14,461 5 6,957 4 9.8 2 4,214 2 1.2 2 2,750 1 9.9 9 ,855 8 .6 6 80 0 .6 5 Male 5 5,323 2 8,966 5 2.4 1 2,562 2 2.7 9 ,559 1 7.3 3 ,871 7 .0 3 62 0 .7 3 Female 5 9,137 2 7,991 4 7.3 1 1,652 1 9.7 1 3,190 2 2.3 5 ,984 1 0.1 3 18 0 .5 2 SUBA SOUTH 1 11,548 5 7,265 5 1.3 2 0,116 1 8.0 2 0,347 1 8.2 1 3,377 1 2.0 4 28 0 .4 1 5 Male 5 3,783 2 9,367 5 4.6 1 0,382 1 9.3 8 ,519 1 5.8 5 ,292 9 .8 2 15 0 .4 8 Female 5 7,763 2 7,898 4 8.3 9 ,732 1 6.8 1 1,828 2 0.5 8 ,085 1 4.0 2 13 0 .4 7 MIGORI 1 ,016,399 5 22,757 5 1.4 1 71,900 1 6.9 1 97,075 1 9.4 1 14,682 1 1.3 9 ,774 1 .0 2 11 Male 4 86,357 2 65,417 5 4.6 8 8,443 1 8.2 8 1,365 1 6.7 4 6,115 9 .5 4 ,923 1 .0 9 4 Female 5 30,012 2 57,326 4 8.6 8 3,455 1 5.7 1 15,706 2 1.8 6 8,559 1 2.9 4 ,849 0 .9 1 17 AWENDO 1 07,090 5 6,849 5 3.1 2 0,331 1 9.0 2 2,396 2 0.9 6 ,982 6 .5 5 03 0 .5 2 9 Male 5 1,345 2 9,012 5 6.5 1 0,532 2 0.5 8 ,958 1 7.4 2 ,527 4 .9 3 03 0 .6 1 3 Female 5 5,743 2 7,836 4 9.9 9 ,799 1 7.6 1 3,437 2 4.1 4 ,455 8 .0 2 00 0 .4 1 6 KURIA EAST 8 8,045 4 4,090 5 0.1 1 0,775 1 2.2 1 3,316 1 5.1 1 8,969 2 1.5 8 66 1 .0 2 9 Male 4 2,653 2 2,712 5 3.2 5 ,604 1 3.1 5 ,847 1 3.7 8 ,045 1 8.9 4 34 1 .0 1 1 Female 4 5,385 2 1,375 4 7.1 5 ,171 1 1.4 7 ,469 1 6.5 1 0,920 2 4.1 4 32 1 .0 1 8 KURIA WEST 1 89,956 9 4,801 4 9.9 2 7,897 1 4.7 3 4,109 1 8.0 3 1,689 1 6.7 1 ,416 0 .7 4 4 Male 9 2,003 4 7,912 5 2.1 1 4,757 1 6.0 1 5,094 1 6.4 1 3,498 1 4.7 7 27 0 .8 1 5 Female 9 7,947 4 6,886 4 7.9 1 3,140 1 3.4 1 9,015 1 9.4 1 8,188 1 8.6 6 89 0 .7 2 9 NYATIKE 1 59,883 8 1,986 5 1.3 2 5,426 1 5.9 3 4,550 2 1.6 1 5,550 9 .7 2 ,344 1 .5 2 7 Male 7 5,746 4 1,715 5 5.1 1 3,232 1 7.5 1 3,854 1 8.3 5 ,785 7 .6 1 ,145 1 .5 1 5 Female 8 4,130 4 0,267 4 7.9 1 2,194 1 4.5 2 0,694 2 4.6 9 ,764 1 1.6 1 ,199 1 .4 1 2 RONGO 1 14,373 6 0,225 5 2.7 2 2,865 2 0.0 2 0,964 1 8.3 9 ,381 8 .2 9 28 0 .8 1 0 Male 5 4,154 3 0,467 5 6.3 1 1,382 2 1.0 8 ,361 1 5.4 3 ,517 6 .5 4 25 0 .8 2 Female 6 0,218 2 9,757 4 9.4 1 1,483 1 9.1 1 2,603 2 0.9 5 ,864 9 .7 5 03 0 .8 8 SUNA EAST 1 11,811 5 7,149 5 1.1 2 3,262 2 0.8 2 1,617 1 9.3 8 ,475 7 .6 1 ,276 1 .1 3 2 Male 5 3,380 2 8,762 5 3.9 1 1,809 2 2.1 8 ,815 1 6.5 3 ,330 6 .2 6 46 1 .2 1 8 Female 5 8,428 2 8,385 4 8.6 1 1,452 1 9.6 1 2,802 2 1.9 5 ,145 8 .8 6 30 1 .1 1 4 SUNA WEST 1 15,745 5 8,786 5 0.8 1 9,815 1 7.1 2 2,302 1 9.3 1 3,764 1 1.9 1 ,073 0 .9 5 Male 5 4,921 2 9,543 5 3.8 1 0,068 1 8.3 9 ,148 1 6.7 5 ,625 1 0.2 5 34 1 .0 3 Female 6 0,823 2 9,243 4 8.1 9 ,747 1 6.0 1 3,153 2 1.6 8 ,139 1 3.4 5 39 0 .9 2 URIRI 1 29,496 6 8,871 5 3.2 2 1,529 1 6.6 2 7,821 2 1.5 9 ,872 7 .6 1 ,368 1 .1 3 5 Male 6 2,155 3 5,294 5 6.8 1 1,059 1 7.8 1 1,288 1 8.2 3 ,788 6 .1 7 09 1 .1 1 7 Female 6 7,338 3 3,577 4 9.9 1 0,469 1 5.5 1 6,533 2 4.6 6 ,084 9 .0 6 57 1 .0 1 8 KISII 1 ,179,067 5 57,477 4 7.3 2 50,730 2 1.3 2 48,244 2 1.1 1 16,381 9 .9 6 ,092 0 .5 1 43 Male 5 61,241 2 82,802 5 0.4 1 27,184 2 2.7 1 04,190 1 8.6 4 3,902 7 .8 3 ,097 0 .6 6 6 Female 6 17,793 2 74,662 4 4.5 1 23,540 2 0.0 1 44,048 2 3.3 7 2,471 1 1.7 2 ,995 0 .5 7 7 ETAGO 7 8,104 3 9,960 5 1.2 1 0,675 1 3.7 1 7,546 2 2.5 9 ,692 1 2.4 2 26 0 .3 5 Male 3 7,316 2 0,355 5 4.5 5 ,645 1 5.1 7 ,401 1 9.8 3 ,794 1 0.2 1 19 0 .3 2 Female 4 0,785 1 9,604 4 8.1 5 ,030 1 2.3 1 0,144 2 4.9 5 ,897 1 4.5 1 07 0 .3 3 41

Page 55

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number GUCHA 7 7,635 3 7,772 4 8.7 1 5,315 1 9.7 1 6,278 2 1.0 7 ,445 9 .6 8 03 1 .0 2 2 Male 3 6,552 1 9,109 5 2.3 7 ,576 2 0.7 6 ,657 1 8.2 2 ,762 7 .6 4 38 1 .2 1 0 Female 4 1,082 1 8,663 4 5.4 7 ,739 1 8.8 9 ,621 2 3.4 4 ,682 1 1.4 3 65 0 .9 1 2 GUCHA SOUTH 7 7,984 3 8,156 4 8.9 1 3,482 1 7.3 1 6,839 2 1.6 8 ,882 1 1.4 5 92 0 .8 3 3 Male 3 7,202 1 9,473 5 2.3 6 ,840 1 8.4 7 ,187 1 9.3 3 ,402 9 .1 2 82 0 .8 1 8 Female 4 0,779 1 8,682 4 5.8 6 ,640 1 6.3 9 ,652 2 3.7 5 ,480 1 3.4 3 10 0 .8 1 5 KENYENYA 1 22,925 5 9,619 4 8.5 2 3,835 1 9.4 2 6,141 2 1.3 1 2,676 1 0.3 6 44 0 .5 1 0 Male 5 8,489 3 0,262 5 1.7 1 2,242 2 0.9 1 0,806 1 8.5 4 ,857 8 .3 3 17 0 .5 5 Female 6 4,434 2 9,356 4 5.6 1 1,593 1 8.0 1 5,335 2 3.8 7 ,818 1 2.1 3 27 0 .5 5 KISII CENTRAL 1 53,169 6 8,085 4 4.5 4 4,068 2 8.8 2 8,889 1 8.9 1 1,388 7 .4 7 29 0 .5 1 0 Male 7 3,940 3 4,485 4 6.6 2 2,437 3 0.3 1 2,255 1 6.6 4 ,398 5 .9 3 61 0 .5 4 Female 7 9,226 3 3,599 4 2.4 2 1,631 2 7.3 1 6,633 2 1.0 6 ,989 8 .8 3 68 0 .5 6 KISII SOUTH 1 26,037 5 9,783 4 7.4 2 5,134 1 9.9 2 5,518 2 0.2 1 5,172 1 2.0 4 28 0 .3 2 Male 5 9,998 3 0,077 5 0.1 1 2,660 2 1.1 1 1,245 1 8.7 5 ,786 9 .6 2 28 0 .4 2 Female 6 6,034 2 9,702 4 5.0 1 2,473 1 8.9 1 4,273 2 1.6 9 ,386 1 4.2 2 00 0 .3 - KITUTU CENTRAL 1 43,117 6 4,027 4 4.7 3 8,458 2 6.9 2 8,928 2 0.2 1 1,008 7 .7 6 72 0 .5 2 4 Male 6 8,958 3 2,137 4 6.6 1 9,362 2 8.1 1 2,897 1 8.7 4 ,176 6 .1 3 74 0 .5 1 2 Female 7 4,154 3 1,889 4 3.0 1 9,094 2 5.7 1 6,029 2 1.6 6 ,832 9 .2 2 98 0 .4 1 2 MARANI 1 00,436 4 7,285 4 7.1 1 7,949 1 7.9 2 3,329 2 3.2 1 1,487 1 1.4 3 66 0 .4 2 0 Male 4 7,090 2 4,220 5 1.4 9 ,037 1 9.2 9 ,418 2 0.0 4 ,216 9 .0 1 91 0 .4 8 Female 5 3,345 2 3,064 4 3.2 8 ,912 1 6.7 1 3,911 2 6.1 7 ,271 1 3.6 1 75 0 .3 1 2 MASABA SOUTH 1 14,613 5 4,102 4 7.2 2 5,882 2 2.6 2 4,544 2 1.4 9 ,293 8 .1 7 86 0 .7 6 Male 5 4,167 2 7,657 5 1.1 1 3,042 2 4.1 9 ,799 1 8.1 3 ,303 6 .1 3 63 0 .7 3 Female 6 0,442 2 6,444 4 3.8 1 2,840 2 1.2 1 4,743 2 4.4 5 ,989 9 .9 4 23 0 .7 3 NYAMACHE 1 22,459 5 8,975 4 8.2 2 3,761 1 9.4 2 6,245 2 1.4 1 2,907 1 0.5 5 62 0 .5 9 Male 5 7,910 3 0,113 5 2.0 1 2,098 2 0.9 1 0,699 1 8.5 4 ,722 8 .2 2 77 0 .5 1 Female 6 4,547 2 8,862 4 4.7 1 1,662 1 8.1 1 5,546 2 4.1 8 ,184 1 2.7 2 85 0 .4 8 SAMETA 6 2,588 2 9,713 4 7.5 1 2,171 1 9.4 1 3,987 2 2.3 6 ,431 1 0.3 2 84 0 .5 2 Male 2 9,619 1 4,914 5 0.4 6 ,245 2 1.1 5 ,826 1 9.7 2 ,486 8 .4 1 47 0 .5 1 Female 3 2,965 1 4,797 4 4.9 5 ,926 1 8.0 8 ,161 2 4.8 3 ,943 1 2.0 1 37 0 .4 1 NYAMIRA 5 66,741 2 60,426 4 6.0 1 29,917 2 2.9 1 11,433 1 9.7 6 1,480 1 0.8 3 ,431 0 .6 5 4 Male 2 71,344 1 32,577 4 8.9 6 5,482 2 4.1 4 7,174 1 7.4 2 4,389 9 .0 1 ,701 0 .6 2 1 Female 2 95,385 1 27,840 4 3.3 6 4,433 2 1.8 6 4,258 2 1.8 3 7,091 1 2.6 1 ,730 0 .6 3 3 BORABU 6 8,779 3 0,834 4 4.8 1 8,623 2 7.1 1 2,272 1 7.8 6 ,531 9 .5 5 12 0 .7 7 Male 3 4,446 1 5,988 4 6.4 9 ,755 2 8.3 5 ,570 1 6.2 2 ,892 8 .4 2 39 0 .7 2 Female 3 4,333 1 4,846 4 3.2 8 ,868 2 5.8 6 ,702 1 9.5 3 ,639 1 0.6 2 73 0 .8 5 MANGA 8 8,406 4 0,147 4 5.4 2 2,106 2 5.0 1 4,960 1 6.9 1 0,811 1 2.2 3 69 0 .4 1 3 Male 4 1,976 2 0,317 4 8.4 1 1,017 2 6.2 6 ,195 1 4.8 4 ,275 1 0.2 1 67 0 .4 5 Female 4 6,428 1 9,828 4 2.7 1 1,089 2 3.9 8 ,765 1 8.9 6 ,536 1 4.1 2 02 0 .4 8 MASABA NORTH 1 04,344 4 7,656 4 5.7 2 4,917 2 3.9 1 9,783 1 9.0 1 1,634 1 1.1 3 47 0 .3 7 Male 4 9,088 2 4,105 4 9.1 1 2,472 2 5.4 7 ,958 1 6.2 4 ,382 8 .9 1 68 0 .3 3 Female 5 5,254 2 3,550 4 2.6 1 2,444 2 2.5 1 1,825 2 1.4 7 ,252 1 3.1 1 79 0 .3 4 42

Page 56

Table 2.2: Distribution of Population Age 3 Years and Above by School Attendance Status, Area of Residence, Sex, County and Sub-County Left School/ Learning Institution Left School/ Learning Institution Never Been to School/ Learning Total* At School/ Learning Institution Don’t Know Not Stated County/ Sub-County After Completion Before Completion Institution Number Number per cent Number per cent Number per cent Number per cent Number per cent Number NYAMIRA NORTH 1 56,770 7 3,889 4 7.1 3 1,253 1 9.9 3 2,674 2 0.8 1 7,828 1 1.4 1 ,123 0 .7 3 Male 7 5,072 3 7,652 5 0.2 1 5,699 2 0.9 1 4,010 1 8.7 7 ,134 9 .5 5 75 0 .8 2 Female 8 1,693 3 6,233 4 4.4 1 5,554 1 9.0 1 8,663 2 2.8 1 0,694 1 3.1 5 48 0 .7 1 NYAMIRA SOUTH 1 48,442 6 7,900 4 5.7 3 3,018 2 2.2 3 1,744 2 1.4 1 4,676 9 .9 1 ,080 0 .7 2 4 Male 7 0,762 3 4,515 4 8.8 1 6,539 2 3.4 1 3,441 1 9.0 5 ,706 8 .1 5 52 0 .8 9 Female 7 7,677 3 3,383 4 3.0 1 6,478 2 1.2 1 8,303 2 3.6 8 ,970 1 1.5 5 28 0 .7 1 5 NAIROBI CITY 4 ,010,447 1 ,358,304 3 3.9 1 ,921,640 4 7.9 5 05,807 1 2.6 1 87,364 4 .7 3 5,729 0 .9 1 ,603 Male 1 ,986,852 6 71,188 3 3.8 9 84,163 4 9.5 2 28,088 1 1.5 8 3,093 4 .2 1 9,514 1 .0 8 06 Female 2 ,023,404 6 87,064 3 4.0 9 37,410 4 6.3 2 77,670 1 3.7 1 04,255 5 .2 1 6,211 0 .8 7 94 DAGORETTI 3 98,369 1 33,970 3 3.6 1 84,694 4 6.4 6 1,613 1 5.5 1 4,655 3 .7 3 ,263 0 .8 1 74 Male 1 99,539 6 5,978 3 3.1 9 6,589 4 8.4 2 8,266 1 4.2 6 ,709 3 .4 1 ,909 1 .0 8 8 Female 1 98,804 6 7,984 3 4.2 8 8,093 4 4.3 3 3,342 1 6.8 7 ,945 4 .0 1 ,354 0 .7 8 6 EMBAKASI 9 04,247 2 98,718 3 3.0 4 69,862 5 2.0 9 6,184 1 0.6 3 1,817 3 .5 7 ,374 0 .8 2 92 Male 4 49,669 1 46,665 3 2.6 2 42,593 5 3.9 4 1,871 9 .3 1 4,469 3 .2 3 ,922 0 .9 1 49 Female 4 54,540 1 52,044 3 3.5 2 27,255 5 0.0 5 4,303 1 1.9 1 7,344 3 .8 3 ,452 0 .8 1 42 KAMUKUNJI 2 42,507 7 6,129 3 1.4 8 9,024 3 6.7 3 2,671 1 3.5 4 1,976 1 7.3 2 ,560 1 .1 1 47 Male 1 22,131 3 8,702 3 1.7 4 8,523 3 9.7 1 5,827 1 3.0 1 7,406 1 4.3 1 ,599 1 .3 7 4 Female 1 20,369 3 7,427 3 1.1 4 0,499 3 3.6 1 6,840 1 4.0 2 4,569 2 0.4 9 61 0 .8 7 3 KASARANI 7 10,889 2 46,064 3 4.6 3 50,997 4 9.4 8 2,530 1 1.6 2 4,115 3 .4 6 ,962 1 .0 2 21 Male 3 44,378 1 21,382 3 5.2 1 72,727 5 0.2 3 5,668 1 0.4 1 0,936 3 .2 3 ,557 1 .0 1 08 Female 3 66,478 1 24,669 3 4.0 1 78,266 4 8.6 4 6,851 1 2.8 1 3,174 3 .6 3 ,405 0 .9 1 13 KIBRA 1 69,509 6 4,675 3 8.2 6 9,361 4 0.9 2 7,119 1 6.0 6 ,547 3 .9 1 ,755 1 .0 5 2 Male 8 5,815 3 1,846 3 7.1 3 7,211 4 3.4 1 2,797 1 4.9 2 ,953 3 .4 9 84 1 .1 2 4 Female 8 3,687 3 2,828 3 9.2 3 2,146 3 8.4 1 4,320 1 7.1 3 ,594 4 .3 7 71 0 .9 2 8 LANG’ATA 1 80,488 6 3,974 3 5.4 8 5,992 4 7.6 2 0,561 1 1.4 8 ,081 4 .5 1 ,805 1 .0 7 5 Male 8 7,399 3 1,677 3 6.2 4 2,299 4 8.4 9 ,224 1 0.6 3 ,173 3 .6 9 94 1 .1 3 2 Female 9 3,081 3 2,294 3 4.7 4 3,692 4 6.9 1 1,335 1 2.2 4 ,908 5 .3 8 10 0 .9 4 2 MAKADARA 1 76,283 5 5,981 3 1.8 9 2,765 5 2.6 2 0,547 1 1.7 5 ,759 3 .3 1 ,189 0 .7 4 2 Male 8 9,283 2 7,872 3 1.2 4 8,411 5 4.2 9 ,575 1 0.7 2 ,764 3 .1 6 37 0 .7 2 4 Female 8 6,991 2 8,105 3 2.3 4 4,353 5 1.0 1 0,970 1 2.6 2 ,995 3 .4 5 50 0 .6 1 8 MATHARE 1 88,625 6 1,040 3 2.4 7 7,503 4 1.1 3 5,910 1 9.0 1 2,099 6 .4 1 ,966 1 .0 1 07 Male 9 7,147 3 0,150 3 1.0 4 2,264 4 3.5 1 7,612 1 8.1 5 ,830 6 .0 1 ,236 1 .3 5 5 Female 9 1,465 3 0,888 3 3.8 3 5,234 3 8.5 1 8,293 2 0.0 6 ,268 6 .9 7 30 0 .8 5 2 NJIRU 5 73,474 2 05,700 3 5.9 2 68,935 4 6.9 7 4,809 1 3.0 2 0,046 3 .5 3 ,746 0 .7 2 38 Male 2 80,310 1 01,161 3 6.1 1 34,234 4 7.9 3 3,012 1 1.8 9 ,667 3 .4 2 ,112 0 .8 1 24 Female 2 93,137 1 04,534 3 5.7 1 34,687 4 5.9 4 1,793 1 4.3 1 0,376 3 .5 1 ,634 0 .6 1 13 STAREHE 1 82,149 6 3,879 3 5.1 8 2,615 4 5.4 2 0,722 1 1.4 1 2,498 6 .9 2 ,277 1 .3 1 58 Male 9 0,480 3 2,284 3 5.7 4 2,791 4 7.3 9 ,273 1 0.2 4 ,884 5 .4 1 ,164 1 .3 8 4 Female 9 1,660 3 1,593 3 4.5 3 9,820 4 3.4 1 1,447 1 2.5 7 ,614 8 .3 1 ,112 1 .2 7 4 WESTLANDS 2 83,907 8 8,174 3 1.1 1 49,892 5 2.8 3 3,141 1 1.7 9 ,771 3 .4 2 ,832 1 .0 9 7 Male 1 40,701 4 3,471 3 0.9 7 6,521 5 4.4 1 4,963 1 0.6 4 ,302 3 .1 1 ,400 1 .0 4 4 Female 1 43,192 4 4,698 3 1.2 7 3,365 5 1.2 1 8,176 1 2.7 5 ,468 3 .8 1 ,432 1 .0 5 3

• Intersex population is excluded from the table since it is too small to be distributed at sub-national level. 43

Page 57

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) KENYA 17,780,277 3,275,028 1 0,028,470 3,403,657 506,109 470,983 18,750 40,883 36,391 6 Rural 12,922,659 2 ,353,558 7 ,616,724 2 ,442,836 254,299 1 92,767 1 4,970 2 3,832 2 3,670 3 Urban 4,857,618 9 21,470 2 ,411,746 9 60,821 251,810 2 78,216 3 ,780 1 7,051 1 2,721 3 Male 9,040,318 1 ,670,583 5 ,091,778 1 ,713,909 243,740 2 68,755 9 ,561 2 1,790 2 0,198 4 Female 8,739,524 1 ,604,360 4 ,936,452 1 ,689,689 262,351 2 02,204 9 ,187 1 9,093 1 6,186 2 Intersex 435 8 5 2 40 5 9 18 2 4 2 - 7 - MOMBASA 378,423 8 4,970 1 96,845 6 5,116 16,412 1 1,474 5 06 2 ,147 9 53 - Male 189,490 4 2,759 9 7,844 3 2,911 7,808 6 ,370 2 50 1 ,048 5 00 - Female 188,930 4 2,211 9 8,999 3 2,205 8,604 5 ,103 2 56 1 ,099 4 53 - CHANGAMWE 39,032 8 ,735 2 0,347 6 ,754 1,848 1 ,181 3 6 4 1 9 0 - Male 19,482 4 ,380 1 0,172 3 ,270 879 6 91 1 9 2 2 4 9 - Female 19,550 4 ,355 1 0,175 3 ,484 969 4 90 1 7 1 9 4 1 - JOMVU 51,892 1 2,428 2 8,677 8 ,180 1,541 9 09 5 3 2 1 8 3 - Male 26,020 6 ,263 1 4,249 4 ,173 750 5 03 3 2 7 4 3 - Female 25,872 6 ,165 1 4,428 4 ,007 791 4 06 2 1 1 4 4 0 - KISAUNI 95,844 2 2,174 5 1,183 1 5,499 3,884 2 ,611 1 09 1 22 2 62 - Male 48,136 1 1,256 2 5,552 7 ,820 1,827 1 ,443 5 3 5 7 1 28 - Female 47,707 1 0,918 2 5,631 7 ,679 2,057 1 ,167 5 6 6 5 1 34 - LIKONI 79,083 1 9,570 4 1,167 1 3,724 2,941 1 ,207 1 50 1 31 1 93 - Male 39,336 9 ,788 2 0,087 7 ,043 1,445 7 29 7 1 7 4 9 9 - Female 39,746 9 ,782 2 1,079 6 ,681 1,496 4 78 7 9 5 7 9 4 - MVITA 46,714 7 ,850 2 2,009 9 ,265 2,935 2 ,764 8 4 1 ,666 1 41 - Male 23,515 3 ,922 1 1,064 4 ,775 1,381 1 ,450 4 1 8 06 7 6 - Female 23,198 3 ,928 1 0,944 4 ,490 1,554 1 ,314 4 3 8 60 6 5 - NYALI 65,858 1 4,213 3 3,462 1 1,694 3,263 2 ,802 7 4 1 66 1 84 - Male 33,001 7 ,150 1 6,720 5 ,830 1,526 1 ,554 3 4 8 2 1 05 - Female 32,857 7 ,063 1 6,742 5 ,864 1,737 1 ,248 4 0 8 4 7 9 - KWALE 334,612 8 2,822 2 07,769 3 6,756 4,107 1 ,936 3 55 3 55 5 12 - Male 171,696 4 2,535 1 06,020 1 9,415 1,883 1 ,195 1 85 1 85 2 78 - Female 162,911 4 0,285 1 01,747 1 7,340 2,224 7 41 1 70 1 70 2 34 - KINANGO 38,765 1 0,237 2 4,613 3 ,320 371 1 36 4 5 4 3 9 - Male 20,011 5 ,269 1 2,650 1 ,772 183 1 00 2 2 - 1 5 - Female 18,753 4 ,968 1 1,962 1 ,548 188 3 6 2 3 4 2 4 - LUNGA LUNGA 76,787 1 9,262 4 9,283 7 ,109 536 2 12 1 29 9 1 1 65 - Male 39,663 9 ,874 2 5,237 3 ,916 279 1 41 7 5 5 0 9 1 - Female 37,124 9 ,388 2 4,046 3 ,193 257 7 1 5 4 4 1 7 4 - 44

Page 58

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) MATUGA 76,734 1 8,054 4 7,029 9 ,802 1,063 5 34 8 1 7 0 1 01 - Male 39,476 9 ,371 2 4,173 5 ,005 463 3 23 3 8 4 2 6 1 - Female 37,257 8 ,683 2 2,856 4 ,796 600 2 11 4 3 2 8 4 0 - MSAMBWENI 61,075 1 4,168 3 5,461 8 ,896 1,418 7 86 4 1 1 70 1 35 - Male 30,868 7 ,154 1 7,885 4 ,579 619 4 50 2 2 8 5 7 4 - Female 30,206 7 ,014 1 7,575 4 ,317 799 3 36 1 9 8 5 6 1 - SAMBURU 81,251 2 1,101 5 1,383 7 ,629 719 2 68 5 9 2 0 7 2 - Male 41,678 1 0,867 2 6,075 4 ,143 339 1 81 2 8 8 3 7 - Female 39,571 1 0,232 2 5,308 3 ,486 380 8 7 3 1 1 2 3 5 - KILIFI 605,776 1 32,702 3 73,857 8 3,181 8,537 5 ,166 8 43 4 55 1 ,035 - Male 308,926 6 7,709 1 89,306 4 3,798 3,913 3 ,003 4 26 2 41 5 30 - Female 296,841 6 4,991 1 84,545 3 9,382 4,624 2 ,163 4 17 2 14 5 05 - CHONYI 28,875 6 ,082 1 8,035 4 ,326 251 1 07 4 4 - 3 0 - Male 14,936 3 ,144 9 ,219 2 ,328 128 7 2 2 7 - 1 8 - Female 13,938 2 ,938 8 ,815 1 ,998 123 3 5 1 7 - 1 2 - GANZE 67,193 1 4,694 4 3,773 7 ,789 489 2 10 1 55 1 8 2 - Male 34,222 7 ,461 2 2,188 4 ,059 250 1 49 8 0 1 3 4 - Female 32,969 7 ,233 2 1,583 3 ,730 239 6 1 7 5 - 4 8 - KALOLENI 80,964 1 7,657 5 1,727 9 ,803 1,026 4 26 1 26 2 8 1 71 - Male 41,402 9 ,080 2 6,262 5 ,160 486 2 54 5 8 1 4 8 8 - Female 39,559 8 ,575 2 5,464 4 ,643 540 1 72 6 8 1 4 8 3 - KAUMA 10,969 2 ,196 7 ,104 1 ,543 72 2 6 1 8 1 9 - Male 5,659 1 ,114 3 ,553 9 16 39 2 1 1 1 1 4 - Female 5,310 1 ,082 3 ,551 6 27 33 5 7 - 5 - KILIFI NORTH 72,834 1 7,073 4 1,645 1 0,609 1,693 1 ,607 3 4 4 9 1 24 - Male 36,930 8 ,728 2 0,935 5 ,542 723 8 91 1 9 2 7 6 5 - Female 35,902 8 ,345 2 0,709 5 ,066 970 7 16 1 5 2 2 5 9 - KILIFI SOUTH 76,984 1 7,932 4 4,868 1 1,404 1,519 9 79 8 7 1 9 1 76 - Male 39,007 9 ,231 2 2,518 5 ,918 672 5 26 3 7 1 2 9 3 - Female 37,977 8 ,701 2 2,350 5 ,486 847 4 53 5 0 7 8 3 - MAGARINI 86,722 1 7,604 5 6,983 1 0,939 620 2 39 1 82 6 8 8 7 - Male 44,425 8 ,886 2 8,769 6 ,070 322 1 76 1 02 5 0 5 0 - Female 42,297 8 ,718 2 8,214 4 ,869 298 6 3 8 0 1 8 3 7 - MALINDI 132,098 2 9,960 7 8,388 1 9,619 2,183 1 ,254 1 55 2 83 2 56 - Male 67,256 1 5,157 3 9,925 1 0,134 994 7 23 7 4 1 32 1 17 - Female 64,841 1 4,803 3 8,462 9 ,485 1,189 5 31 8 1 1 51 1 39 - RABAI 49,137 9 ,504 3 1,334 7 ,149 684 3 18 4 2 6 1 00 - Male 25,089 4 ,908 1 5,937 3 ,671 299 1 91 1 8 4 6 1 - Female 24,048 4 ,596 1 5,397 3 ,478 385 1 27 2 4 2 3 9 - 45

Page 59

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) TANA RIVER 95,997 2 5,480 5 5,036 1 2,346 1,308 5 17 1 72 9 79 1 59 - Male 50,470 1 3,387 2 7,965 7 ,249 797 3 54 9 6 5 29 9 3 - Female 45,527 1 2,093 2 7,071 5 ,097 511 1 63 7 6 4 50 6 6 - TANA DELTA 38,308 1 0,395 2 2,155 4 ,821 365 1 61 3 1 3 39 4 1 - Male 19,808 5 ,417 1 1,093 2 ,757 212 1 16 1 7 1 78 1 8 - Female 18,500 4 ,978 1 1,062 2 ,064 153 4 5 1 4 1 61 2 3 - TANA NORTH 28,681 6 ,737 1 6,434 4 ,200 589 1 54 9 2 4 24 5 1 - Male 15,776 3 ,614 8 ,711 2 ,630 390 1 12 5 0 2 31 3 8 - Female 12,905 3 ,123 7 ,723 1 ,570 199 4 2 4 2 1 93 1 3 - TANA RIVER 29,008 8 ,348 1 6,447 3 ,325 354 2 02 4 9 2 16 6 7 - Male 14,886 4 ,356 8 ,161 1 ,862 195 1 26 2 9 1 20 3 7 - Female 14,122 3 ,992 8 ,286 1 ,463 159 7 6 2 0 9 6 3 0 - LAMU 50,249 1 0,470 3 0,511 7 ,600 619 4 63 4 5 4 61 8 0 - Male 25,969 5 ,389 1 5,566 4 ,101 310 2 77 2 4 2 64 3 8 - Female 24,278 5 ,081 1 4,943 3 ,499 309 1 86 2 1 1 97 4 2 - LAMU EAST 7,592 1 ,539 4 ,941 9 80 55 2 4 5 4 0 8 - Male 3,866 7 78 2 ,486 5 18 29 1 8 4 2 7 6 - Female 3,726 7 61 2 ,455 4 62 26 6 1 1 3 2 - LAMU WEST 42,657 8 ,931 2 5,570 6 ,620 564 4 39 4 0 4 21 7 2 - Male 22,103 4 ,611 1 3,080 3 ,583 281 2 59 2 0 2 37 3 2 - Female 20,552 4 ,320 1 2,488 3 ,037 283 1 80 2 0 1 84 4 0 - TAITA/TAVETA 116,381 2 0,535 6 7,662 2 2,938 3,236 1 ,710 7 8 1 1 2 11 - Male 59,272 1 0,439 3 4,682 1 1,327 1,677 9 89 3 5 8 1 15 - Female 57,108 1 0,095 3 2,980 1 1,611 1,559 7 21 4 3 3 9 6 - MWATATE 28,635 4 ,949 1 6,398 6 ,121 716 3 93 1 8 1 3 9 - Male 14,632 2 ,507 8 ,425 3 ,051 385 2 30 9 1 2 4 - Female 14,002 2 ,441 7 ,973 3 ,070 331 1 63 9 - 1 5 - TAITA 19,302 3 ,293 1 0,719 4 ,504 475 2 46 1 6 1 4 8 - Male 9,800 1 ,642 5 ,560 2 ,174 252 1 43 6 - 2 3 - Female 9,502 1 ,651 5 ,159 2 ,330 223 1 03 1 0 1 2 5 - TAVETA 31,879 5 ,677 1 9,728 5 ,352 716 3 50 2 0 5 3 1 - Male 16,342 2 ,890 1 0,234 2 ,653 343 1 92 9 4 1 7 - Female 15,537 2 ,787 9 ,494 2 ,699 373 1 58 1 1 1 1 4 - VOI 36,565 6 ,616 2 0,817 6 ,961 1,329 7 21 2 4 4 9 3 - Male 18,498 3 ,400 1 0,463 3 ,449 697 4 24 1 1 3 5 1 - Female 18,067 3 ,216 1 0,354 3 ,512 632 2 97 1 3 1 4 2 - 46

Page 60

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) GARISSA 132,990 1 3,112 7 1,214 2 7,998 3,469 1 ,840 6 85 1 3,742 9 29 1 Male 77,489 6 ,758 4 0,569 1 8,172 2,202 1 ,338 4 09 7 ,492 5 49 - Female 55,497 6 ,354 3 0,643 9 ,825 1,267 5 01 2 76 6 ,250 3 80 1 BALAMBALA 2,740 3 13 1 ,558 7 66 54 1 9 2 7 2 1 - Male 1,692 1 71 9 39 5 12 37 1 1 2 0 1 1 - Female 1,048 1 42 6 19 2 54 17 8 7 1 - - DADAAB 20,883 1 ,370 1 2,075 4 ,523 408 1 09 1 45 2 ,127 1 26 - Male 12,354 7 09 6 ,930 2 ,996 297 8 8 8 4 1 ,173 7 7 - Female 8,529 6 61 5 ,145 1 ,527 111 2 1 6 1 9 54 4 9 - FAFI 15,237 1 ,214 8 ,702 3 ,592 201 7 0 9 5 1 ,288 7 5 - Male 8,847 6 43 4 ,838 2 ,362 136 5 7 5 8 7 03 5 0 - Female 6,389 5 71 3 ,863 1 ,230 65 1 3 3 7 5 85 2 5 - GARISSA 40,562 3 ,812 2 0,766 9 ,018 1,635 1 ,141 9 2 3 ,849 2 48 1 Male 22,526 1 ,945 1 1,328 5 ,401 908 7 80 5 2 1 ,974 1 38 - Female 18,033 1 ,867 9 ,437 3 ,616 727 3 60 4 0 1 ,875 1 10 1 HULUGHO 19,993 2 ,334 1 0,449 3 ,289 262 1 17 1 06 3 ,334 1 02 - Male 12,290 1 ,244 6 ,511 2 ,269 187 9 7 6 2 1 ,855 6 5 - Female 7,703 1 ,090 3 ,938 1 ,020 75 2 0 4 4 1 ,479 3 7 - IJARA 28,963 3 ,418 1 4,857 6 ,036 809 3 37 1 83 2 ,973 3 50 - Male 17,366 1 ,749 8 ,620 4 ,146 566 2 67 1 12 1 ,704 2 02 - Female 11,597 1 ,669 6 ,237 1 ,890 243 7 0 7 1 1 ,269 1 48 - LAGDERA 4,612 6 51 2 ,807 7 74 100 4 7 3 7 1 69 2 7 - Male 2,414 2 97 1 ,403 4 86 71 3 8 2 1 8 2 1 6 - Female 2,198 3 54 1 ,404 2 88 29 9 1 6 8 7 1 1 - WAJIR 132,610 1 5,024 7 8,024 2 6,173 3,262 1 ,278 4 96 7 ,960 3 93 - Male 75,637 7 ,713 4 3,283 1 6,413 2,151 9 73 2 92 4 ,565 2 47 - Female 56,969 7 ,310 3 4,740 9 ,759 1,111 3 04 2 04 3 ,395 1 46 - BUNA 6,080 7 46 3 ,310 1 ,270 163 5 6 3 2 4 83 2 0 - Male 3,410 3 99 1 ,813 7 72 109 4 6 1 8 2 44 9 - Female 2,670 3 47 1 ,497 4 98 54 1 0 1 4 2 39 1 1 - ELDAS 14,237 1 ,812 8 ,662 2 ,530 279 8 6 6 6 7 56 4 6 - Male 7,706 8 73 4 ,508 1 ,620 180 6 2 4 0 3 98 2 5 - Female 6,531 9 39 4 ,154 9 10 99 2 4 2 6 3 58 2 1 - HABASWEIN 35,144 3 ,152 1 8,648 7 ,065 929 2 66 1 68 4 ,779 1 37 - Male 20,991 1 ,676 1 0,928 4 ,512 622 2 06 9 5 2 ,865 8 7 - Female 14,153 1 ,476 7 ,720 2 ,553 307 6 0 7 3 1 ,914 5 0 - 47

Page 61

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) TARBAJ 6,525 7 15 4 ,163 1 ,351 131 3 6 1 9 1 04 6 - Male 3,311 3 25 2 ,040 7 56 96 2 6 1 0 5 5 3 - Female 3,213 3 90 2 ,122 5 95 35 1 0 9 4 9 3 - WAJIR EAST 25,940 2 ,628 1 5,285 5 ,936 901 4 79 5 5 5 79 7 7 - Male 14,536 1 ,357 8 ,284 3 ,576 564 3 70 3 4 3 02 4 9 - Female 11,403 1 ,271 7 ,001 2 ,360 337 1 08 2 1 2 77 2 8 - WAJIR NORTH 9,690 1 ,559 6 ,111 1 ,482 197 1 33 2 8 1 69 1 1 - Male 5,301 7 65 3 ,252 9 28 139 1 09 2 0 8 1 7 - Female 4,389 7 94 2 ,859 5 54 58 2 4 8 8 8 4 - WAJIR SOUTH 15,891 2 ,328 1 0,287 2 ,698 309 7 1 7 4 8 5 3 9 - Male 9,675 1 ,283 6 ,183 1 ,821 207 5 6 4 6 5 3 2 6 - Female 6,215 1 ,044 4 ,104 8 77 102 1 5 2 8 3 2 1 3 - WAJIR WEST 19,103 2 ,084 1 1,558 3 ,841 353 1 51 5 4 1 ,005 5 7 - Male 10,707 1 ,035 6 ,275 2 ,428 234 9 8 2 9 5 67 4 1 - Female 8,395 1 ,049 5 ,283 1 ,412 119 5 3 2 5 4 38 1 6 - MANDERA 168,647 1 9,891 1 03,594 3 0,687 3,154 1 ,185 5 75 8 ,826 7 34 1 Male 90,664 9 ,454 5 4,328 1 8,779 2,111 9 07 3 07 4 ,423 3 54 1 Female 77,980 1 0,437 4 9,264 1 1,907 1,043 2 78 2 68 4 ,403 3 80 -

• 0 - MANDERA WEST 22,717 4 ,088 1 4,151 3 ,366 311 1 03 6 1 6 03 3 4 - Male 11,917 1 ,901 7 ,309 2 ,053 220 7 9 3 1 3 08 1 6 - Female 10,800 2 ,187 6 ,842 1 ,313 91 2 4 3 0 2 95 1 8 - BANISA 20,564 3 ,279 1 2,661 3 ,060 317 7 4 1 47 8 52 1 74 - Male 11,647 1 ,659 7 ,048 2 ,030 213 6 0 7 0 4 85 8 2 - Female 8,916 1 ,620 5 ,612 1 ,030 104 1 4 7 7 3 67 9 2 - KOTULO 16,578 1 ,848 1 0,175 3 ,047 370 1 33 3 6 9 16 5 3 - Male 8,797 8 32 5 ,198 1 ,924 273 9 9 2 1 4 21 2 9 - Female 7,780 1 ,016 4 ,976 1 ,123 97 3 4 1 5 4 95 2 4 - LAFEY 12,181 1 ,156 6 ,628 2 ,694 221 1 15 1 02 1 ,201 6 4 - Male 6,112 5 25 3 ,171 1 ,497 142 8 0 6 3 6 07 2 7 - Female 6,069 6 31 3 ,457 1 ,197 79 3 5 3 9 5 94 3 7 - MANDERA CENTRAL 34,878 3 ,593 2 0,996 6 ,353 694 1 57 8 2 2 ,796 2 06 1 Male 16,936 1 ,494 9 ,888 3 ,577 434 1 24 4 2 1 ,284 9 2 1 Female 17,941 2 ,099 1 1,108 2 ,775 260 3 3 4 0 1 ,512 1 14 - MANDERA EAST 36,560 3 ,065 2 2,161 7 ,846 904 5 04 7 7 1 ,873 1 30 - Male 20,910 1 ,592 1 2,244 4 ,990 588 3 81 4 9 9 96 7 0 - Female 15,650 1 ,473 9 ,917 2 ,856 316 1 23 2 8 8 77 6 0 - MANDERA NORTH 25,169 2 ,862 1 6,822 4 ,321 337 9 9 7 0 5 85 7 3 - Male 14,345 1 ,451 9 ,470 2 ,708 241 8 4 3 1 3 22 3 8 - Female 10,824 1 ,411 7 ,352 1 ,613 96 1 5 3 9 2 63 3 5 - 48

Page 62

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) MARSABIT 108,132 2 0,071 6 6,742 1 6,410 2,229 1 ,690 1 71 6 31 1 88 - Male 55,636 1 0,004 3 3,476 9 ,281 1,239 1 ,115 9 5 3 14 1 12 - Female 52,492 1 0,067 3 3,263 7 ,128 990 5 75 7 6 3 17 7 6 -

• 0 - LOIYANGALANI 6,673 1 ,351 4 ,170 9 24 125 7 5 1 4 - 1 4 - Male 3,177 6 12 1 ,869 5 33 87 6 2 6 - 8 - Female 3,495 7 39 2 ,300 3 91 38 1 3 8 - 6 - MARSABIT CENTRAL 27,959 4 ,809 1 6,940 4 ,728 700 6 62 2 8 1 5 7 7 - Male 14,078 2 ,422 8 ,355 2 ,484 342 4 13 1 5 5 4 2 - Female 13,879 2 ,387 8 ,584 2 ,243 358 2 49 1 3 1 0 3 5 - MARSABIT NORTH 10,319 1 ,795 6 ,431 1 ,607 256 1 76 2 2 1 8 1 4 - Male 5,133 8 83 3 ,040 9 07 132 1 35 1 2 1 4 1 0 - Female 5,186 9 12 3 ,391 7 00 124 4 1 1 0 4 4 - MARSABIT SOUTH 11,620 2 ,390 7 ,043 1 ,707 281 1 53 3 2 - 1 4 - Male 5,659 1 ,085 3 ,249 1 ,006 190 1 13 8 - 8 - Female 5,961 1 ,305 3 ,794 7 01 91 4 0 2 4 - 6 - MOYALE 32,258 5 ,902 2 0,081 4 ,708 463 4 40 2 9 5 93 4 2 - Male 17,428 3 ,072 1 0,738 2 ,770 244 2 66 1 8 2 92 2 8 - Female 14,830 2 ,830 9 ,343 1 ,938 219 1 74 1 1 3 01 1 4 - NORTH HORR 6,587 1 ,253 3 ,841 1 ,102 259 9 9 1 7 1 1 5 - Male 3,481 6 33 1 ,991 6 22 151 6 2 1 4 - 8 - Female 3,105 6 20 1 ,849 4 80 108 3 7 3 1 7 - SOLOLO 12,716 2 ,571 8 ,236 1 ,634 145 8 5 2 9 4 1 2 - Male 6,680 1 ,297 4 ,234 9 59 93 6 4 2 2 3 8 - Female 6,036 1 ,274 4 ,002 6 75 52 2 1 7 1 4 - ISIOLO 79,881 1 6,843 4 6,541 1 2,570 1,625 1 ,152 8 6 9 57 1 07 - Male 40,960 8 ,576 2 3,387 6 ,792 801 7 21 4 5 5 77 6 1 - Female 38,920 8 ,266 2 3,154 5 ,778 824 4 31 4 1 3 80 4 6 - GARBATULLA 25,147 4 ,699 1 5,813 3 ,456 278 1 34 4 1 6 95 3 1 - Male 13,233 2 ,392 8 ,109 2 ,054 153 1 01 2 4 3 83 1 7 - Female 11,914 2 ,307 7 ,704 1 ,402 125 3 3 1 7 3 12 1 4 - ISIOLO 41,522 9 ,066 2 2,886 7 ,259 1,143 9 24 4 1 1 44 5 9 - Male 21,157 4 ,639 1 1,582 3 ,708 534 5 49 1 9 9 5 3 1 - Female 20,365 4 ,427 1 1,304 3 ,551 609 3 75 2 2 4 9 2 8 - MERTI 13,212 3 ,078 7 ,842 1 ,855 204 9 4 4 1 18 1 7 - Male 6,570 1 ,545 3 ,696 1 ,030 114 7 1 2 9 9 1 3 - Female 6,641 1 ,532 4 ,146 8 25 90 2 3 2 1 9 4 - 49

Page 63

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) MERU 554,475 9 6,507 3 24,028 1 08,293 12,925 1 0,663 6 72 9 1 ,378 - Male 277,202 4 9,445 1 63,464 5 1,059 5,969 6 ,203 3 44 4 7 14 - Female 277,259 4 7,061 1 60,555 5 7,232 6,956 4 ,459 3 27 5 6 64 - BUURI EAST 25,158 3 ,766 1 4,067 5 ,867 826 5 48 2 6 1 5 7 - Male 12,796 1 ,954 7 ,238 2 ,883 383 2 96 6 - 3 6 - Female 12,362 1 ,812 6 ,829 2 ,984 443 2 52 2 0 1 2 1 - BUURI WEST 26,396 4 ,333 1 4,835 6 ,027 639 4 71 4 1 2 4 8 - Male 13,326 2 ,188 7 ,618 2 ,896 317 2 63 1 4 2 2 8 - Female 13,070 2 ,145 7 ,217 3 ,131 322 2 08 2 7 - 2 0 - IGEMBE CENTRAL 84,771 1 6,877 5 1,372 1 4,098 1,136 9 60 1 23 - 2 05 - Male 42,142 8 ,610 2 5,847 6 ,463 499 5 59 6 6 - 9 8 - Female 42,628 8 ,267 2 5,525 7 ,635 637 4 00 5 7 - 1 07 - IGEMBE NORTH 66,151 1 1,634 4 1,869 1 0,712 934 6 65 1 14 1 2 22 - Male 32,652 5 ,993 2 0,823 4 ,875 374 4 17 6 2 - 1 08 - Female 33,496 5 ,641 2 1,044 5 ,836 560 2 48 5 2 1 1 14 - IGEMBE SOUTH 56,443 1 2,019 3 3,464 8 ,998 933 7 43 1 24 - 1 62 - Male 27,641 6 ,191 1 6,486 3 ,986 401 4 33 7 0 - 7 4 - Female 28,799 5 ,828 1 6,975 5 ,012 532 3 10 5 4 - 8 8 - IMENTI NORTH 55,511 9 ,767 2 8,168 1 2,046 2,942 2 ,417 3 5 1 1 35 - Male 27,661 4 ,957 1 4,211 5 ,747 1,352 1 ,309 1 8 1 6 6 - Female 27,849 4 ,809 1 3,957 6 ,299 1,590 1 ,108 1 7 - 6 9 - IMENTI SOUTH 67,801 1 1,231 3 6,451 1 6,220 2,066 1 ,659 3 7 1 1 36 - Male 34,365 5 ,810 1 8,610 7 ,981 1,001 8 73 1 8 - 7 2 - Female 33,434 5 ,421 1 7,840 8 ,239 1,065 7 86 1 8 1 6 4 - MERU CENTRAL 44,995 7 ,648 2 4,982 9 ,982 1,292 9 36 6 0 1 9 4 - Male 22,798 3 ,896 1 2,846 4 ,813 638 5 25 3 0 - 5 0 - Female 22,197 3 ,752 1 2,136 5 ,169 654 4 11 3 0 1 4 4 - TIGANIA CENTRAL 41,347 6 ,493 2 6,617 6 ,973 584 5 26 5 3 - 1 01 - Male 20,788 3 ,292 1 3,514 3 ,292 265 3 46 3 2 - 4 7 - Female 20,559 3 ,201 1 3,103 3 ,681 319 1 80 2 1 - 5 4 - TIGANIA EAST 29,551 4 ,624 1 8,546 5 ,372 503 4 12 1 9 - 7 5 - Male 14,531 2 ,358 9 ,168 2 ,468 224 2 56 1 1 - 4 6 - Female 15,018 2 ,266 9 ,376 2 ,904 279 1 56 8 - 2 9 - TIGANIA WEST 56,289 8 ,102 3 3,627 1 1,988 1,066 1 ,321 4 0 2 1 43 - Male 28,468 4 ,189 1 7,086 5 ,648 513 9 25 1 7 1 8 9 - Female 27,819 3 ,913 1 6,540 6 ,339 553 3 96 2 3 1 5 4 - MERU NATIONAL PARK 44 1 1 2 2 4 4 3 - - - - Male 21 6 1 1 2 2 - - - - - Female 23 5 1 1 2 2 3 - - - - MT. KENYA FOREST 18 2 8 6 0 2 - - - - Male 13 1 6 5 0 1 - - - - Female 5 1 2 1 0 1 - - - - 50

Page 64

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) THARAKA-NITHI 144,933 2 2,592 8 2,127 3 2,111 3,802 3 ,680 2 11 2 4 08 - Male 73,509 1 1,591 4 1,710 1 5,966 1,798 2 ,111 1 12 1 2 20 - Female 71,422 1 1,001 4 0,416 1 6,144 2,004 1 ,569 9 9 1 1 88 - IGAMBANG’OMBE 20,369 3 ,472 1 2,229 3 ,962 354 2 74 1 9 - 5 9 - Male 10,393 1 ,814 6 ,226 1 ,973 180 1 56 1 0 - 3 4 - Female 9,976 1 ,658 6 ,003 1 ,989 174 1 18 9 - 2 5 - MAARA 37,866 5 ,514 2 1,043 9 ,224 1,049 9 13 2 8 - 9 5 - Male 19,356 2 ,884 1 0,779 4 ,596 530 4 93 1 7 - 5 7 - Female 18,510 2 ,630 1 0,264 4 ,628 519 4 20 1 1 - 3 8 - MERU SOUTH 30,872 4 ,534 1 5,649 7 ,708 1,191 1 ,670 2 2 - 9 8 - Male 15,688 2 ,259 8 ,095 3 ,782 552 9 38 1 2 - 5 0 - Female 15,183 2 ,275 7 ,554 3 ,925 639 7 32 1 0 - 4 8 - THARAKA NORTH 23,967 3 ,694 1 4,772 4 ,667 377 2 81 1 05 - 7 1 - Male 12,019 1 ,828 7 ,396 2 ,364 172 1 67 5 6 - 3 6 - Female 11,947 1 ,866 7 ,375 2 ,303 205 1 14 4 9 - 3 5 - THARAKA SOUTH 31,795 5 ,371 1 8,425 6 ,546 788 5 41 3 7 2 8 5 - Male 16,040 2 ,802 9 ,210 3 ,247 363 3 57 1 7 1 4 3 - Female 15,755 2 ,569 9 ,215 3 ,299 425 1 84 2 0 1 4 2 - MT. KENYA FOREST 64 7 9 4 43 1 - - - - Male 13 4 4 4 1 - - - - - Female 51 3 5 - 42 1 - - - - EMBU 205,389 3 0,130 1 15,139 4 7,397 6,675 5 ,492 2 01 1 2 3 43 - Male 104,132 1 5,308 5 9,371 2 3,031 3,071 3 ,052 9 8 6 1 95 - Female 101,251 1 4,819 5 5,766 2 4,365 3,604 2 ,440 1 03 6 1 48 - EMBU EAST 41,231 5 ,578 2 2,985 1 0,247 1,377 9 29 4 5 2 6 8 - Male 20,990 2 ,918 1 1,845 5 ,004 656 5 10 1 9 1 3 7 - Female 20,240 2 ,659 1 1,140 5 ,243 721 4 19 2 6 1 3 1 - EMBU NORTH 25,255 3 ,589 1 3,302 6 ,824 839 6 39 2 5 1 3 6 - Male 13,147 1 ,850 7 ,013 3 ,444 433 3 70 1 5 - 2 2 - Female 12,108 1 ,739 6 ,289 3 ,380 406 2 69 1 0 1 1 4 - EMBU WEST 38,642 6 ,076 1 9,158 8 ,730 2,342 2 ,197 3 5 2 1 02 - Male 19,180 3 ,034 9 ,703 4 ,157 988 1 ,220 1 6 1 6 1 - Female 19,461 3 ,042 9 ,454 4 ,573 1,354 9 77 1 9 1 4 1 - MBEERE SOUTH 58,147 8 ,733 3 4,456 1 2,477 1,298 1 ,018 7 3 5 8 7 - Male 29,539 4 ,388 1 7,863 6 ,012 632 5 57 3 4 3 5 0 - Female 28,606 4 ,344 1 6,592 6 ,465 666 4 61 3 9 2 3 7 - MBEERE NORTH 42,114 6 ,154 2 5,238 9 ,119 819 7 09 2 3 2 5 0 - Male 21,276 3 ,118 1 2,947 4 ,414 362 3 95 1 4 1 2 5 - Female 20,836 3 ,035 1 2,291 4 ,704 457 3 14 9 1 2 5 - 51

Page 65

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) MT. KENYA FOREST - - - - 0 - - - - - Male - - - - 0 - - - - - Female - - - - 0 - - - - - KITUI 490,726 7 4,212 3 06,299 9 1,565 9,299 7 ,071 5 27 2 6 1 ,726 1 Male 250,178 3 8,155 1 57,004 4 5,045 4,666 4 ,046 2 85 1 3 9 64 - Female 240,536 3 6,056 1 49,286 4 6,519 4,633 3 ,024 2 42 1 3 7 62 1 IKUTHA 39,676 5 ,953 2 5,454 7 ,028 648 3 78 5 7 - 1 58 - Male 20,339 3 ,126 1 3,096 3 ,435 336 2 26 2 9 - 9 1 - Female 19,337 2 ,827 1 2,358 3 ,593 312 1 52 2 8 - 6 7 - KATULANI 18,641 2 ,527 1 0,821 4 ,542 373 3 27 1 1 - 4 0 - Male 9,635 1 ,328 5 ,576 2 ,281 221 1 98 3 - 2 8 - Female 9,006 1 ,199 5 ,245 2 ,261 152 1 29 8 - 1 2 - KISASI 19,501 3 ,018 1 1,927 3 ,991 260 2 34 1 4 - 5 7 - Male 10,112 1 ,543 6 ,234 2 ,007 151 1 39 7 - 3 1 - Female 9,389 1 ,475 5 ,693 1 ,984 109 9 5 7 - 2 6 - KITUI CENTRAL 39,644 6 ,531 2 1,999 8 ,259 1,531 1 ,172 2 5 2 1 25 - Male 20,082 3 ,361 1 1,211 4 ,083 701 6 39 1 6 1 7 0 - Female 19,562 3 ,170 1 0,788 4 ,176 830 5 33 9 1 5 5 - KITUI WEST 29,215 4 ,525 1 7,224 6 ,166 627 5 95 7 1 7 0 - Male 14,933 2 ,285 8 ,940 3 ,052 307 3 08 3 - 3 8 - Female 14,281 2 ,240 8 ,283 3 ,114 320 2 87 4 1 3 2 - KYUSO 34,600 5 ,172 2 2,948 5 ,433 493 3 32 4 4 1 1 77 - Male 17,508 2 ,648 1 1,643 2 ,659 236 1 98 2 1 1 1 02 - Female 17,091 2 ,524 1 1,305 2 ,773 257 1 34 2 3 - 7 5 - LOWER YATTA 26,585 3 ,422 1 6,418 5 ,693 448 4 93 2 3 - 8 8 - Male 13,784 1 ,773 8 ,598 2 ,846 233 2 71 1 2 - 5 1 - Female 12,801 1 ,649 7 ,820 2 ,847 215 2 22 1 1 - 3 7 - MATINYANI 19,193 3 ,256 1 1,044 4 ,038 437 3 56 1 7 - 4 5 - Male 9,909 1 ,681 5 ,728 2 ,009 242 2 13 1 1 - 2 5 - Female 9,284 1 ,575 5 ,316 2 ,029 195 1 43 6 - 2 0 - MIGWANI 33,664 5 ,064 1 9,958 6 ,969 829 6 60 2 3 1 1 60 - Male 17,222 2 ,541 1 0,337 3 ,422 418 3 88 1 0 - 1 06 - Female 16,440 2 ,523 9 ,620 3 ,547 411 2 71 1 3 1 5 4 - MUMONI 13,808 2 ,132 8 ,763 2 ,509 179 1 50 4 4 - 3 1 - Male 6,857 1 ,046 4 ,373 1 ,223 86 8 3 2 6 - 2 0 - Female 6,951 1 ,086 4 ,390 1 ,286 93 6 7 1 8 - 1 1 - MUTITU 25,958 3 ,782 1 7,573 4 ,001 276 2 20 2 7 - 7 9 - Male 13,084 2 ,004 8 ,870 1 ,882 153 1 16 1 7 - 4 2 - Female 12,872 1 ,778 8 ,701 2 ,119 123 1 04 1 0 - 3 7 - 52

Page 66

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) MUTITU NORTH 9,275 1 ,269 6 ,063 1 ,660 145 1 03 1 0 - 2 5 - Male 4,763 6 76 3 ,118 8 06 85 5 3 5 - 2 0 - Female 4,511 5 93 2 ,944 8 54 60 5 0 5 - 5 - MUTOMO 51,247 7 ,952 3 3,313 8 ,329 880 5 10 6 3 1 8 1 82 - Male 25,989 4 ,103 1 6,965 4 ,019 455 3 16 2 8 1 0 9 3 - Female 25,256 3 ,849 1 6,346 4 ,310 425 1 94 3 5 8 8 9 - MWINGI CENTRAL 46,035 6 ,982 2 8,700 8 ,511 873 7 54 6 2 2 1 50 1 Male 23,501 3 ,548 1 4,812 4 ,181 420 4 25 3 8 1 7 6 - Female 22,534 3 ,434 1 3,888 4 ,330 453 3 29 2 4 1 7 4 1 MWINGI EAST 39,172 5 ,758 2 5,767 6 ,523 566 3 30 2 8 - 2 00 - Male 19,856 2 ,996 1 3,130 3 ,166 261 1 94 1 6 - 9 3 - Female 19,314 2 ,761 1 2,636 3 ,357 305 1 36 1 2 - 1 07 - NZAMBANI 19,051 3 ,052 1 1,616 3 ,724 353 2 35 1 8 1 5 2 - Male 9,831 1 ,566 5 ,986 1 ,921 189 1 30 1 3 - 2 6 - Female 9,220 1 ,486 5 ,630 1 ,803 164 1 05 5 1 2 6 - THAGICU 6,905 1 ,107 4 ,240 1 ,338 121 6 9 8 - 2 2 - Male 3,457 5 52 2 ,167 6 26 46 4 4 3 - 1 9 - Female 3,447 5 55 2 ,072 7 12 75 2 5 5 - 3 - TSEIKURU 18,556 2 ,710 1 2,471 2 ,851 260 1 53 4 6 - 6 5 - Male 9,316 1 ,378 6 ,220 1 ,427 126 1 05 2 7 - 3 3 - Female 9,240 1 ,332 6 ,251 1 ,424 134 4 8 1 9 - 3 2 - MACHAKOS 505,677 7 9,502 2 87,319 1 07,067 14,991 1 5,044 4 62 7 1 ,285 - Male 258,981 4 0,849 1 48,270 5 2,995 7,623 8 ,266 2 35 5 7 38 - Female 246,686 3 8,650 1 39,044 5 4,070 7,368 6 ,778 2 27 2 5 47 - ATHI RIVER 98,497 1 9,610 4 7,846 1 8,688 4,891 6 ,889 1 25 1 4 47 - Male 49,337 9 ,980 2 3,955 9 ,161 2,319 3 ,623 5 8 - 2 41 - Female 49,159 9 ,629 2 3,891 9 ,527 2,572 3 ,266 6 7 1 2 06 - KALAMA 19,779 2 ,824 1 1,768 4 ,494 344 2 86 2 0 - 4 3 - Male 10,196 1 ,470 6 ,134 2 ,204 170 1 77 1 2 - 2 9 - Female 9,582 1 ,354 5 ,634 2 ,289 174 1 09 8 - 1 4 - KANGUNDO 35,182 5 ,183 2 0,694 7 ,916 696 6 29 1 4 - 5 0 - Male 18,188 2 ,631 1 0,850 3 ,972 367 3 42 4 - 2 2 - Female 16,994 2 ,552 9 ,844 3 ,944 329 2 87 1 0 - 2 8 - KATHIANI 42,712 6 ,234 2 5,961 9 ,045 818 5 78 2 2 - 5 4 - Male 22,119 3 ,208 1 3,527 4 ,522 461 3 58 1 0 - 3 3 - Female 20,591 3 ,025 1 2,433 4 ,523 357 2 20 1 2 - 2 1 - MACHAKOS 54,322 9 ,153 2 8,687 1 1,513 2,407 2 ,411 3 3 - 1 18 - Male 27,561 4 ,662 1 4,722 5 ,670 1,084 1 ,338 1 3 - 7 2 - Female 26,758 4 ,490 1 3,964 5 ,842 1,323 1 ,073 2 0 - 4 6 - 53

Page 67

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) MASINGA 59,688 8 ,399 3 7,736 1 1,432 1,024 8 82 5 9 2 1 54 - Male 30,933 4 ,426 1 9,693 5 ,628 518 5 30 3 3 2 1 03 - Female 28,754 3 ,973 1 8,042 5 ,804 506 3 52 2 6 - 5 1 - MATUNGULU 58,093 9 ,443 3 3,511 1 2,411 1,425 1 ,175 4 1 1 8 6 - Male 29,817 4 ,797 1 7,329 6 ,230 753 6 33 2 3 1 5 1 - Female 28,274 4 ,646 1 6,180 6 ,181 672 5 42 1 8 - 3 5 - MWALA 69,402 9 ,320 4 1,422 1 6,027 1,305 1 ,129 7 1 2 1 26 - Male 36,048 4 ,859 2 1,677 8 ,079 674 6 57 3 5 1 6 6 - Female 33,354 4 ,461 1 9,745 7 ,948 631 4 72 3 6 1 6 0 - YATTA 68,002 9 ,336 3 9,694 1 5,541 2,081 1 ,065 7 7 1 2 07 - Male 34,782 4 ,816 2 0,383 7 ,529 1,277 6 08 4 7 1 1 21 - Female 33,220 4 ,520 1 9,311 8 ,012 804 4 57 3 0 - 8 6 - MAKUENI 395,627 5 2,909 2 35,037 9 0,576 8,419 7 ,541 2 69 2 3 8 53 - Male 202,949 2 7,300 1 21,515 4 4,836 4,185 4 ,502 1 25 2 0 4 66 - Female 192,669 2 5,608 1 13,518 4 5,738 4,233 3 ,038 1 44 3 3 87 - KATHONZWENI 33,164 4 ,046 1 9,379 8 ,323 691 6 08 1 9 - 9 8 - Male 17,094 2 ,059 1 0,184 4 ,108 333 3 52 7 - 5 1 - Female 16,069 1 ,987 9 ,195 4 ,215 357 2 56 1 2 - 4 7 - KIBWEZI 82,524 1 0,751 5 0,296 1 8,909 1,178 1 ,176 4 4 1 6 1 54 - Male 42,482 5 ,478 2 6,135 9 ,424 606 7 27 2 1 1 6 7 5 - Female 40,039 5 ,273 2 4,160 9 ,484 572 4 48 2 3 - 7 9 - KILUNGU 25,498 3 ,516 1 5,571 5 ,412 464 4 43 2 7 1 6 4 - Male 12,802 1 ,816 7 ,818 2 ,623 225 2 72 1 5 - 3 3 - Female 12,696 1 ,700 7 ,753 2 ,789 239 1 71 1 2 1 3 1 - MAKINDU 33,771 4 ,757 2 0,596 7 ,001 693 6 17 3 4 1 7 2 - Male 17,300 2 ,535 1 0,615 3 ,424 298 3 72 1 7 1 3 8 - Female 16,471 2 ,222 9 ,981 3 ,577 395 2 45 1 7 - 3 4 - MAKUENI 48,433 6 ,859 2 7,048 1 1,178 1,785 1 ,431 3 7 - 9 5 - Male 24,818 3 ,620 1 3,996 5 ,435 859 8 34 1 6 - 5 8 - Female 23,613 3 ,239 1 3,050 5 ,743 926 5 97 2 1 - 3 7 - MBOONI EAST 39,608 5 ,307 2 3,053 9 ,494 853 7 76 4 3 1 8 1 - Male 20,632 2 ,761 1 2,079 4 ,819 460 4 57 1 4 1 4 1 - Female 18,975 2 ,545 1 0,974 4 ,675 393 3 19 2 9 - 4 0 - MBOONI WEST 42,564 5 ,479 2 5,720 9 ,734 834 6 59 2 6 - 1 12 - Male 21,819 2 ,783 1 3,318 4 ,820 442 3 76 1 3 - 6 7 - Female 20,745 2 ,696 1 2,402 4 ,914 392 2 83 1 3 - 4 5 - MUKAA 39,315 5 ,642 2 2,929 8 ,960 873 8 24 1 7 4 6 6 - Male 20,066 2 ,911 1 1,722 4 ,436 435 5 09 1 0 2 4 1 - Female 19,249 2 ,731 1 1,207 4 ,524 438 3 15 7 2 2 5 - 54

Page 68

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) NZAUI 50,750 6 ,552 3 0,445 1 1,565 1,048 1 ,007 2 2 - 1 11 - Male 25,936 3 ,337 1 5,648 5 ,747 527 6 03 1 2 - 6 2 - Female 24,812 3 ,215 1 4,796 5 ,817 521 4 04 1 0 - 4 9 - NYANDARUA 249,756 4 0,050 1 36,401 6 1,944 6,030 4 ,970 1 07 2 2 52 - Male 128,283 2 0,651 7 0,491 3 1,052 3,039 2 ,863 3 7 - 1 50 - Female 121,466 1 9,398 6 5,906 3 0,890 2,991 2 ,107 7 0 2 1 02 - KINANGOP 43,363 6 ,444 2 3,929 1 1,155 993 7 99 1 8 - 2 5 - Male 22,094 3 ,273 1 2,334 5 ,465 526 4 68 1 0 - 1 8 - Female 21,268 3 ,170 1 1,595 5 ,690 467 3 31 8 - 7 - NYANDARUA SOUTH 37,199 5 ,746 2 0,197 9 ,463 983 7 70 1 1 1 2 8 - Male 19,039 2 ,942 1 0,438 4 ,726 470 4 39 3 - 2 1 - Female 18,158 2 ,804 9 ,758 4 ,736 513 3 31 8 1 7 - MIRANGINE 26,957 4 ,570 1 4,955 6 ,448 565 3 57 1 1 - 5 1 - Male 13,817 2 ,369 7 ,644 3 ,284 270 2 19 3 - 2 8 - Female 13,139 2 ,201 7 ,310 3 ,164 295 1 38 8 - 2 3 - KIPIPIRI 38,278 5 ,374 2 1,795 9 ,781 685 5 93 3 0 - 2 0 - Male 19,577 2 ,772 1 1,277 4 ,803 359 3 47 8 - 1 1 - Female 18,701 2 ,602 1 0,518 4 ,978 326 2 46 2 2 - 9 - NYANDARUA CENTRAL 28,484 4 ,736 1 5,485 6 ,809 749 6 55 7 - 4 3 - Male 14,750 2 ,523 8 ,007 3 ,470 353 3 70 3 - 2 4 - Female 13,733 2 ,213 7 ,477 3 ,339 396 2 85 4 - 1 9 - NYANDARUA WEST 37,017 6 ,814 1 9,488 8 ,603 1,087 9 63 1 3 - 4 9 - Male 19,269 3 ,514 1 0,228 4 ,385 566 5 47 3 - 2 6 - Female 17,746 3 ,300 9 ,259 4 ,217 521 4 16 1 0 - 2 3 - NYANDARUA NORTH 38,458 6 ,366 2 0,552 9 ,685 968 8 33 1 7 1 3 6 - Male 19,737 3 ,258 1 0,563 4 ,919 495 4 73 7 - 2 2 - Female 18,721 3 ,108 9 ,989 4 ,766 473 3 60 1 0 1 1 4 - ABERDARE NATIONAL PARK - - - - 0 - - - - - Male - - - - 0 - - - - - Female - - - - 0 - - - - - NYERI 253,898 4 0,226 1 27,981 6 3,361 10,755 1 0,929 1 16 4 5 26 - Male 130,417 2 0,618 6 5,726 3 2,228 5,288 6 ,214 4 2 2 2 99 - Female 123,475 1 9,607 6 2,251 3 1,132 5,467 4 ,715 7 4 2 2 27 - TETU 26,827 4 ,258 1 3,585 7 ,004 1,114 8 04 1 8 1 4 3 - Male 13,866 2 ,178 7 ,070 3 ,602 542 4 41 6 - 2 7 - Female 12,961 2 ,080 6 ,515 3 ,402 572 3 63 1 2 1 1 6 - 55

Page 69

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) KIENI EAST 37,003 6 ,127 1 9,531 9 ,126 1,217 9 33 1 1 - 5 8 - Male 18,863 3 ,105 9 ,978 4 ,611 600 5 28 7 - 3 4 - Female 18,139 3 ,021 9 ,553 4 ,515 617 4 05 4 - 2 4 - KIENI WEST 31,845 5 ,018 1 6,942 8 ,205 932 6 72 1 6 - 6 0 - Male 16,390 2 ,628 8 ,705 4 ,183 462 3 66 6 - 4 0 - Female 15,455 2 ,390 8 ,237 4 ,022 470 3 06 1 0 - 2 0 - MATHIRA EAST 33,214 5 ,246 1 5,376 7 ,959 1,282 3 ,272 2 2 - 5 7 - Male 16,909 2 ,637 7 ,812 3 ,930 623 1 ,868 7 - 3 2 - Female 16,305 2 ,609 7 ,564 4 ,029 659 1 ,404 1 5 - 2 5 - MATHIRA WEST 19,857 3 ,056 1 0,231 5 ,117 844 5 53 5 - 5 1 - Male 10,272 1 ,599 5 ,318 2 ,623 403 2 97 3 - 2 9 - Female 9,585 1 ,457 4 ,913 2 ,494 441 2 56 2 - 2 2 - NYERI SOUTH 30,669 4 ,700 1 5,437 8 ,273 1,209 9 71 1 8 2 5 9 - Male 15,718 2 ,457 7 ,862 4 ,230 631 5 01 4 2 3 1 - Female 14,950 2 ,243 7 ,574 4 ,043 578 4 70 1 4 - 2 8 - MUKURWE-INI 30,159 4 ,360 1 6,341 7 ,620 968 7 85 1 2 - 7 3 - Male 15,861 2 ,221 8 ,528 4 ,100 527 4 40 4 - 4 1 - Female 14,296 2 ,139 7 ,811 3 ,520 441 3 45 8 - 3 2 - NYERI CENTRAL 44,275 7 ,452 2 0,514 1 0,046 3,184 2 ,939 1 4 1 1 25 - Male 22,509 3 ,787 1 0,439 4 ,943 1,497 1 ,773 5 - 6 5 - Female 21,764 3 ,665 1 0,074 5 ,102 1,687 1 ,166 9 1 6 0 - MT. KENYA FOREST 44 7 2 1 1 1 5 - - - - - Male 25 4 1 2 6 3 - - - - - Female 19 3 9 5 2 - - - - - ABERDARE FOREST 5 2 3 - 0 - - - - - Male 4 2 2 - 0 - - - - - Female 1 - 1 - 0 - - - - - KIRINYAGA 193,518 3 2,731 1 01,601 4 6,354 6,362 5 ,891 1 50 5 4 24 - Male 98,661 1 6,523 5 1,794 2 3,521 3,136 3 ,381 6 4 4 2 38 - Female 94,852 1 6,207 4 9,804 2 2,833 3,226 2 ,509 8 6 1 1 86 - KIRINYAGA CENTRAL 38,430 6 ,632 1 8,769 9 ,683 1,646 1 ,585 2 4 - 9 1 - Male 19,502 3 ,363 9 ,546 4 ,845 801 8 84 1 1 - 5 2 - Female 18,927 3 ,269 9 ,222 4 ,838 845 7 01 1 3 - 3 9 - KIRINYAGA EAST 41,819 6 ,660 2 2,065 1 0,339 1,355 1 ,279 2 1 2 9 8 - Male 21,314 3 ,286 1 1,222 5 ,358 666 7 07 1 4 2 5 9 - Female 20,504 3 ,374 1 0,842 4 ,981 689 5 72 7 - 3 9 - KIRINYAGA WEST 37,514 6 ,428 1 9,490 9 ,139 1,273 1 ,067 3 4 1 8 2 - Male 19,180 3 ,292 9 ,916 4 ,601 674 6 41 1 1 1 4 4 - Female 18,333 3 ,136 9 ,573 4 ,538 599 4 26 2 3 - 3 8 - 56

Page 70

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) MWEA EAST 40,992 7 ,138 2 2,327 9 ,032 1,146 1 ,189 5 6 2 1 02 - Male 20,775 3 ,612 1 1,432 4 ,452 517 6 81 2 6 1 5 4 - Female 20,216 3 ,526 1 0,895 4 ,580 629 5 07 3 0 1 4 8 - MWEA WEST 34,760 5 ,871 1 8,950 8 ,161 942 7 70 1 5 - 5 1 - Male 17,890 2 ,970 9 ,678 4 ,265 478 4 68 2 - 2 9 - Female 16,869 2 ,900 9 ,272 3 ,896 464 3 02 1 3 - 2 2 - MT. KENYA FOREST 3 2 - - 0 1 - - - - Male - - - - 0 - - - - - Female 3 2 - - 0 1 - - - - MURANG’A 358,844 5 5,015 2 00,030 8 5,518 9,442 7 ,983 1 87 1 8 6 51 - Male 184,250 2 7,893 1 02,525 4 3,829 4,772 4 ,750 8 8 6 3 87 - Female 174,580 2 7,117 9 7,500 4 1,687 4,669 3 ,233 9 9 1 2 2 63 - MURANG’A EAST 35,232 5 ,375 1 8,772 8 ,224 1,364 1 ,367 2 2 3 1 05 - Male 17,772 2 ,711 9 ,539 4 ,077 617 7 49 1 1 2 6 6 - Female 17,459 2 ,663 9 ,233 4 ,147 747 6 18 1 1 1 3 9 - KANGEMA 26,598 3 ,980 1 3,935 7 ,088 880 6 47 1 1 4 5 3 - Male 13,778 2 ,013 7 ,208 3 ,674 471 3 86 4 - 2 2 - Female 12,818 1 ,966 6 ,727 3 ,413 409 2 61 7 4 3 1 - MATHIOYA 31,439 4 ,846 1 7,186 7 ,679 979 6 62 2 0 4 6 3 - Male 16,161 2 ,449 8 ,789 3 ,954 524 3 98 8 1 3 8 - Female 15,278 2 ,397 8 ,397 3 ,725 455 2 64 1 2 3 2 5 - KAHURO 29,727 4 ,189 1 6,276 7 ,843 686 6 62 1 8 1 5 2 - Male 15,443 2 ,145 8 ,427 4 ,074 366 3 93 6 - 3 2 - Female 14,279 2 ,042 7 ,847 3 ,769 319 2 69 1 2 1 2 0 - MURANG’A SOUTH 64,167 1 0,033 3 6,727 1 4,625 1,398 1 ,264 2 6 2 9 2 - Male 32,909 5 ,082 1 8,780 7 ,523 688 7 73 1 2 1 5 0 - Female 31,256 4 ,950 1 7,946 7 ,102 710 4 91 1 4 1 4 2 - GATANGA 65,058 1 0,459 3 6,121 1 5,307 1,706 1 ,296 3 6 - 1 33 - Male 33,338 5 ,291 1 8,442 7 ,858 876 7 67 2 2 - 8 2 - Female 31,719 5 ,168 1 7,679 7 ,449 830 5 29 1 4 - 5 0 - KIGUMO 46,894 6 ,811 2 7,237 1 0,769 1,044 9 58 2 4 - 5 1 - Male 24,235 3 ,483 1 4,079 5 ,512 528 5 89 1 0 - 3 4 - Female 22,658 3 ,328 1 3,157 5 ,257 516 3 69 1 4 - 1 7 - KANDARA 59,723 9 ,320 3 3,774 1 3,982 1,384 1 ,127 3 0 4 1 02 - Male 30,612 4 ,718 1 7,260 7 ,157 702 6 95 1 5 2 6 3 - Female 29,109 4 ,602 1 6,513 6 ,824 682 4 32 1 5 2 3 9 - ABERDARE FOREST 6 2 2 1 1 - - - - - Male 2 1 1 - 0 - - - - - Female 4 1 1 1 1 - - - - - 57

Page 71

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) KIAMBU 778,586 1 40,181 3 79,694 1 65,313 41,712 4 9,386 3 81 1 3 1 ,906 - Male 388,769 7 1,128 1 90,560 8 0,388 18,688 2 6,785 1 42 4 1 ,074 - Female 389,789 6 9,047 1 89,120 8 4,922 23,022 2 2,599 2 39 9 8 31 - GATUNDU NORTH 36,935 5 ,691 1 9,781 9 ,621 1,002 7 14 2 0 - 1 06 - Male 18,737 2 ,912 1 0,075 4 ,807 487 3 86 7 - 6 3 - Female 18,198 2 ,779 9 ,706 4 ,814 515 3 28 1 3 - 4 3 - GATUNDU SOUTH 39,811 6 ,282 2 1,240 1 0,264 1,171 7 45 1 8 - 9 1 - Male 20,339 3 ,205 1 0,919 5 ,209 551 4 03 7 - 4 5 - Female 19,470 3 ,076 1 0,320 5 ,055 620 3 42 1 1 - 4 6 - GITHUNGURI 53,711 8 ,671 2 8,282 1 3,356 1,924 1 ,378 2 3 - 7 7 - Male 27,194 4 ,401 1 4,430 6 ,675 890 7 51 7 - 4 0 - Female 26,515 4 ,270 1 3,851 6 ,680 1,034 6 27 1 6 - 3 7 - JUJA 102,232 1 8,703 4 6,421 2 0,203 7,329 9 ,244 4 3 1 2 88 - Male 51,283 9 ,492 2 3,156 9 ,801 3,212 5 ,441 1 6 - 1 65 - Female 50,944 9 ,211 2 3,263 1 0,402 4,115 3 ,802 2 7 1 1 23 - KABETE 62,008 1 1,494 2 9,766 1 2,769 3,596 4 ,220 2 2 1 1 40 - Male 30,762 5 ,800 1 4,959 6 ,186 1,621 2 ,119 4 - 7 3 - Female 31,246 5 ,694 1 4,807 6 ,583 1,975 2 ,101 1 8 1 6 7 - KIAMBAA 71,027 1 3,896 3 4,844 1 4,511 3,618 3 ,900 3 5 1 2 22 - Male 34,903 7 ,056 1 7,237 7 ,008 1,584 1 ,884 2 0 1 1 13 - Female 36,121 6 ,840 1 7,605 7 ,503 2,034 2 ,016 1 5 - 1 08 - KIAMBU 43,881 8 ,002 2 1,314 8 ,726 2,686 3 ,025 2 4 - 1 04 - Male 21,477 4 ,021 1 0,513 4 ,184 1,226 1 ,464 1 0 - 5 9 - Female 22,402 3 ,980 1 0,800 4 ,542 1,460 1 ,561 1 4 - 4 5 - KIKUYU 59,423 1 1,191 2 8,495 1 2,192 3,171 4 ,221 2 4 - 1 29 - Male 29,466 5 ,670 1 4,296 5 ,832 1,409 2 ,176 7 - 7 6 - Female 29,957 5 ,521 1 4,199 6 ,360 1,762 2 ,045 1 7 - 5 3 - LARI 47,619 7 ,297 2 6,060 1 1,723 1,502 9 38 1 7 - 8 2 - Male 24,207 3 ,737 1 3,238 5 ,948 726 5 02 5 - 5 1 - Female 23,410 3 ,559 1 2,821 5 ,775 776 4 36 1 2 - 3 1 - LIMURU 53,173 9 ,389 2 7,485 1 1,995 2,263 1 ,860 4 4 2 1 35 - Male 26,850 4 ,777 1 4,039 5 ,867 1,049 1 ,030 8 1 7 9 - Female 26,323 4 ,612 1 3,446 6 ,128 1,214 8 30 3 6 1 5 6 - RUIRU 116,732 2 2,619 5 4,348 2 2,099 6,783 1 0,491 6 3 3 3 26 - Male 57,530 1 1,453 2 6,903 1 0,440 2,910 5 ,599 2 8 - 1 97 - Female 59,195 1 1,163 2 7,443 1 1,657 3,873 4 ,892 3 5 3 1 29 - THIKA EAST 12,908 2 ,325 7 ,019 2 ,846 396 2 86 9 - 2 7 - Male 6,498 1 ,164 3 ,572 1 ,405 183 1 51 7 - 1 6 - Female 6,410 1 ,161 3 ,447 1 ,441 213 1 35 2 - 1 1 - THIKA WEST 79,126 1 4,621 3 4,639 1 5,008 6,271 8 ,364 3 9 5 1 79 - Male 39,523 7 ,440 1 7,223 7 ,026 2,840 4 ,879 1 6 2 9 7 - Female 39,598 7 ,181 1 7,412 7 ,982 3,431 3 ,484 2 3 3 8 2 - 58

Page 72

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) TURKANA 184,015 3 9,898 1 06,684 2 9,708 4,284 1 ,892 8 40 1 72 5 37 - Male 98,266 1 9,965 5 5,428 1 7,976 2,651 1 ,401 4 35 9 4 3 16 - Female 85,746 1 9,932 5 1,255 1 1,732 1,633 4 91 4 05 7 8 2 20 - KIBISH 2,577 5 44 1 ,561 3 48 54 3 0 1 8 - 2 2 - Male 1,516 2 89 9 07 2 27 40 2 7 9 - 1 7 - Female 1,060 2 54 6 54 1 21 14 3 9 - 5 - LOIMA 14,212 4 ,470 7 ,814 1 ,553 185 6 3 8 3 - 4 4 - Male 7,292 2 ,233 3 ,877 9 37 114 4 8 5 4 - 2 9 - Female 6,920 2 ,237 3 ,937 6 16 71 1 5 2 9 - 1 5 - TURKANA CENTRAL 53,043 1 2,612 2 8,917 8 ,817 1,627 8 05 1 64 1 1 00 - Male 27,137 6 ,272 1 4,405 4 ,853 888 5 77 8 7 1 5 4 - Female 25,906 6 ,340 1 4,512 3 ,964 739 2 28 7 7 - 4 6 - TURKANA EAST 16,281 2 ,453 9 ,521 3 ,386 569 1 78 8 5 - 8 9 - Male 8,857 1 ,282 5 ,018 1 ,962 364 1 29 5 6 - 4 6 - Female 7,424 1 ,171 4 ,503 1 ,424 205 4 9 2 9 - 4 3 - TURKANA NORTH 9,689 3 ,063 5 ,183 1 ,080 190 6 9 6 9 - 3 5 - Male 5,249 1 ,554 2 ,786 6 71 127 5 6 3 6 - 1 9 - Female 4,440 1 ,509 2 ,397 4 09 63 1 3 3 3 - 1 6 - TURKANA SOUTH 31,741 6 ,617 1 8,547 5 ,327 759 2 75 1 36 6 7 4 - Male 16,213 3 ,223 9 ,068 3 ,096 494 2 14 6 4 4 5 0 - Female 15,526 3 ,394 9 ,478 2 ,231 265 6 1 7 2 2 2 3 - TURKANA WEST 56,472 1 0,139 3 5,141 9 ,197 900 4 72 2 85 1 65 1 73 - Male 32,002 5 ,112 1 9,367 6 ,230 624 3 50 1 29 8 9 1 01 - Female 24,470 5 ,027 1 5,774 2 ,967 276 1 22 1 56 7 6 7 2 - WEST POKOT 235,136 5 0,585 1 39,629 3 7,252 3,542 3 ,147 5 31 2 4 48 - Male 119,842 2 5,693 7 0,061 1 9,911 1,700 1 ,961 2 79 1 2 36 - Female 115,287 2 4,892 6 9,561 1 7,341 1,842 1 ,186 2 52 1 2 12 - KIPKOMO 48,572 1 0,091 2 9,144 7 ,758 762 6 36 1 11 - 7 0 - Male 24,703 5 ,124 1 4,665 4 ,083 351 3 80 6 3 - 3 7 - Female 23,865 4 ,967 1 4,475 3 ,675 411 2 56 4 8 - 3 3 - POKOT CENTRAL 42,955 9 ,763 2 7,097 5 ,291 397 2 82 7 2 - 5 3 - Male 22,218 4 ,963 1 3,880 2 ,919 212 1 87 3 4 - 2 3 - Female 20,736 4 ,800 1 3,216 2 ,372 185 9 5 3 8 - 3 0 - POKOT NORTH 27,221 6 ,693 1 6,267 3 ,597 321 2 58 4 8 - 3 7 - Male 13,774 3 ,314 7 ,896 2 ,146 187 1 82 2 7 - 2 2 - Female 13,447 3 ,379 8 ,371 1 ,451 134 7 6 2 1 - 1 5 - POKOT SOUTH 41,818 8 ,941 2 4,099 7 ,366 704 5 56 9 0 - 6 2 - Male 21,211 4 ,578 1 2,078 3 ,784 333 3 61 3 8 - 3 9 - Female 20,605 4 ,363 1 2,019 3 ,582 371 1 95 5 2 - 2 3 - 59

Page 73

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) WEST POKOT 74,570 1 5,097 4 3,022 1 3,240 1,358 1 ,415 2 10 2 2 26 - Male 37,936 7 ,714 2 1,542 6 ,979 617 8 51 1 17 1 1 15 - Female 36,634 7 ,383 2 1,480 6 ,261 741 5 64 9 3 1 1 11 - SAMBURU 86,608 2 1,871 4 8,614 1 2,881 1,685 1 ,192 1 58 4 2 03 - Male 46,092 1 1,378 2 5,090 7 ,597 1,008 8 15 9 2 1 1 11 - Female 40,515 1 0,492 2 3,524 5 ,284 677 3 77 6 6 3 9 2 - SAMBURU CENTRAL 55,364 1 3,680 3 1,234 8 ,312 1,055 8 65 7 4 2 1 42 - Male 29,444 7 ,117 1 6,127 4 ,889 605 5 82 4 5 1 7 8 - Female 25,920 6 ,563 1 5,107 3 ,423 450 2 83 2 9 1 6 4 - SAMBURU EAST 17,726 4 ,396 9 ,993 2 ,633 438 1 79 4 1 1 4 5 - Male 9,425 2 ,293 5 ,144 1 ,536 278 1 23 2 6 - 2 5 - Female 8,301 2 ,103 4 ,849 1 ,097 160 5 6 1 5 1 2 0 - SAMBURU NORTH 13,518 3 ,795 7 ,387 1 ,936 192 1 48 4 3 1 1 6 - Male 7,223 1 ,968 3 ,819 1 ,172 125 1 10 2 1 - 8 - Female 6,294 1 ,826 3 ,568 7 64 67 3 8 2 2 1 8 - TRANS NZOIA 440,977 7 8,093 2 58,680 8 6,362 8,872 7 ,769 4 57 3 7 41 - Male 224,218 3 9,829 1 31,907 4 3,166 4,089 4 ,560 2 41 - 4 26 - Female 216,747 3 8,263 1 26,763 4 3,195 4,783 3 ,209 2 16 3 3 15 - TRANS NZOIA WEST 87,077 1 5,921 5 0,603 1 6,875 2,041 1 ,442 4 0 1 1 54 - Male 44,064 8 ,103 2 5,650 8 ,406 947 8 54 2 1 - 8 3 - Female 43,011 7 ,818 2 4,951 8 ,469 1,094 5 88 1 9 1 7 1 - TRANS NZOIA EAST 105,393 1 7,444 6 2,221 2 1,367 2,004 2 ,069 6 2 - 2 26 - Male 53,788 8 ,886 3 1,899 1 0,727 900 1 ,213 3 0 - 1 33 - Female 51,600 8 ,557 3 0,318 1 0,640 1,104 8 56 3 2 - 9 3 - KWANZA 91,168 1 6,297 5 4,486 1 7,131 1,546 1 ,332 2 10 1 1 65 - Male 46,409 8 ,329 2 7,894 8 ,474 719 7 94 1 12 - 8 7 - Female 44,758 7 ,968 2 6,592 8 ,656 827 5 38 9 8 1 7 8 - ENDEBESS 50,202 9 ,970 3 0,818 8 ,259 621 4 31 5 7 - 4 6 - Male 25,839 5 ,118 1 5,768 4 ,316 302 2 80 2 8 - 2 7 - Female 24,361 4 ,852 1 5,048 3 ,943 319 1 51 2 9 - 1 9 - KIMININI 107,137 1 8,461 6 0,552 2 2,730 2,660 2 ,495 8 8 1 1 50 - Male 54,118 9 ,393 3 0,696 1 1,243 1,221 1 ,419 5 0 - 9 6 - Female 53,017 9 ,068 2 9,854 1 1,487 1,439 1 ,076 3 8 1 5 4 - UASIN GISHU 480,402 8 1,478 2 53,451 1 00,063 24,520 1 9,660 3 62 1 3 8 55 - Male 241,839 4 2,019 1 28,836 4 8,988 10,984 1 0,363 1 92 1 0 4 47 - Female 238,555 3 9,457 1 24,613 5 1,073 13,536 9 ,296 1 70 3 4 07 - 60

Page 74

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) AINABKOI 57,988 9 ,257 3 0,335 1 2,770 2,886 2 ,621 3 6 2 8 1 - Male 29,057 4 ,808 1 5,410 6 ,180 1,261 1 ,340 1 7 - 4 1 - Female 28,931 4 ,449 1 4,925 6 ,590 1,625 1 ,281 1 9 2 4 0 - KAPSERET 77,598 1 2,750 3 7,485 1 5,482 7,160 4 ,506 4 2 - 1 73 - Male 38,581 6 ,525 1 8,806 7 ,451 3,410 2 ,283 2 0 - 8 6 - Female 39,017 6 ,225 1 8,679 8 ,031 3,750 2 ,223 2 2 - 8 7 - KESSES 65,544 1 0,917 3 5,534 1 4,085 2,421 2 ,473 2 9 1 8 4 - Male 33,580 5 ,712 1 8,317 7 ,064 1,097 1 ,332 1 7 1 4 0 - Female 31,962 5 ,205 1 7,216 7 ,021 1,324 1 ,140 1 2 - 4 4 - MOIBEN 73,257 1 1,924 3 7,835 1 5,841 3,556 3 ,900 6 5 - 1 36 - Male 36,585 6 ,107 1 9,275 7 ,614 1,466 2 ,023 3 0 - 7 0 - Female 36,672 5 ,817 1 8,560 8 ,227 2,090 1 ,877 3 5 - 6 6 - SOY 100,702 1 7,615 5 5,793 2 0,587 3,636 2 ,828 8 9 - 1 54 - Male 51,374 9 ,112 2 8,651 1 0,279 1,625 1 ,578 4 3 - 8 6 - Female 49,326 8 ,502 2 7,142 1 0,308 2,011 1 ,250 4 6 - 6 7 - TURBO 105,313 1 9,015 5 6,469 2 1,298 4,861 3 ,332 1 01 1 0 2 27 - Male 52,662 9 ,755 2 8,377 1 0,400 2,125 1 ,807 6 5 9 1 24 - Female 52,647 9 ,259 2 8,091 1 0,896 2,736 1 ,525 3 6 1 1 03 - ELGEYO/MARAKWET 203,979 3 8,412 1 17,050 3 9,314 4,910 3 ,723 2 23 1 3 46 - Male 103,310 1 9,750 5 9,473 1 9,447 2,327 1 ,995 1 28 1 1 89 - Female 100,663 1 8,662 5 7,573 1 9,866 2,583 1 ,727 9 5 - 1 57 - KEIYO NORTH 42,628 7 ,694 2 3,516 8 ,821 1,474 1 ,055 1 8 - 5 0 - Male 21,499 4 ,013 1 2,047 4 ,236 637 5 26 1 2 - 2 8 - Female 21,128 3 ,681 1 1,468 4 ,585 837 5 29 6 - 2 2 - KEIYO SOUTH 53,990 9 ,057 3 0,641 1 1,456 1,602 1 ,042 5 4 1 1 37 - Male 27,641 4 ,672 1 5,835 5 ,679 817 5 30 3 1 1 7 6 - Female 26,348 4 ,385 1 4,806 5 ,777 785 5 11 2 3 - 6 1 - MARAKWET EAST 45,934 1 0,132 2 7,007 7 ,411 626 6 17 8 3 - 5 8 - Male 23,055 5 ,231 1 3,350 3 ,764 284 3 49 4 2 - 3 5 - Female 22,878 4 ,901 1 3,656 3 ,647 342 2 68 4 1 - 2 3 - MARAKWET WEST 61,427 1 1,529 3 5,886 1 1,626 1,208 1 ,009 6 8 - 1 01 - Male 31,115 5 ,834 1 8,241 5 ,768 589 5 90 4 3 - 5 0 - Female 30,309 5 ,695 1 7,643 5 ,857 619 4 19 2 5 - 5 1 - NANDI 390,831 6 7,337 2 25,229 7 7,476 11,435 8 ,234 5 18 1 6 01 - Male 199,523 3 4,569 1 15,923 3 8,387 5,258 4 ,743 2 87 - 3 56 - Female 191,303 3 2,766 1 09,303 3 9,089 6,177 3 ,491 2 31 1 2 45 - CHESUMEI 69,608 1 1,320 3 8,932 1 4,302 2,467 2 ,456 4 0 1 9 0 - Male 35,299 5 ,780 2 0,040 6 ,909 1,099 1 ,391 2 9 - 5 1 - Female 34,308 5 ,539 1 8,892 7 ,393 1,368 1 ,065 1 1 1 3 9 - 61

Page 75

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) NANDI CENTRAL 62,865 1 0,406 3 6,226 1 2,684 1,834 1 ,421 1 87 - 1 07 - Male 32,004 5 ,318 1 8,647 6 ,204 847 8 42 9 1 - 5 5 - Female 30,860 5 ,088 1 7,578 6 ,480 987 5 79 9 6 - 5 2 - NANDI EAST 51,575 9 ,510 2 9,402 9 ,792 1,701 1 ,026 4 6 - 9 8 - Male 26,083 4 ,877 1 4,895 4 ,834 807 5 83 2 9 - 5 8 - Female 25,492 4 ,633 1 4,507 4 ,958 894 4 43 1 7 - 4 0 - NANDI NORTH 75,700 1 2,956 4 3,886 1 5,010 2,168 1 ,465 6 9 - 1 46 - Male 38,889 6 ,692 2 2,720 7 ,523 993 8 31 3 4 - 9 6 - Female 36,809 6 ,264 2 1,164 7 ,487 1,175 6 34 3 5 - 5 0 - NANDI SOUTH 77,802 1 3,512 4 5,080 1 5,794 2,079 1 ,137 1 06 - 9 4 - Male 39,675 6 ,904 2 3,276 7 ,754 961 6 60 6 5 - 5 5 - Female 38,127 6 ,608 2 1,804 8 ,040 1,118 4 77 4 1 - 3 9 - TINDERET 53,281 9 ,633 3 1,703 9 ,894 1,186 7 29 7 0 - 6 6 - Male 27,573 4 ,998 1 6,345 5 ,163 551 4 36 3 9 - 4 1 - Female 25,707 4 ,634 1 5,358 4 ,731 635 2 93 3 1 - 2 5 - BARINGO 253,878 4 6,616 1 45,199 4 9,723 6,398 5 ,085 3 33 1 5 23 - Male 130,797 2 4,297 7 4,759 2 5,338 3,052 2 ,894 1 79 - 2 78 - Female 123,075 2 2,317 7 0,438 2 4,383 3,346 2 ,191 1 54 1 2 45 - BARINGO CENTRAL 42,317 6 ,598 2 3,342 9 ,487 1,592 1 ,210 1 2 - 7 6 - Male 21,287 3 ,426 1 1,772 4 ,639 740 6 66 5 - 3 9 - Female 21,030 3 ,172 1 1,570 4 ,848 852 5 44 7 - 3 7 - BARINGO NORTH 47,924 8 ,379 2 8,250 9 ,441 928 7 73 4 5 - 1 08 - Male 24,837 4 ,424 1 4,622 4 ,771 477 4 67 1 7 - 5 9 - Female 23,087 3 ,955 1 3,628 4 ,670 451 3 06 2 8 - 4 9 - EAST POKOT 12,743 2 ,968 7 ,226 1 ,990 264 1 72 5 3 - 7 0 - Male 6,913 1 ,569 3 ,848 1 ,166 144 1 15 3 4 - 3 7 - Female 5,829 1 ,398 3 ,378 8 24 120 5 7 1 9 - 3 3 - KOIBATEK 55,856 9 ,600 3 1,178 1 2,043 1,579 1 ,332 2 7 1 9 6 - Male 28,370 4 ,964 1 5,988 5 ,961 685 7 10 1 6 - 4 6 - Female 27,484 4 ,636 1 5,189 6 ,081 894 6 22 1 1 1 5 0 - MARIGAT 41,259 8 ,706 2 4,451 6 ,770 649 5 95 4 3 - 4 5 - Male 21,466 4 ,531 1 2,570 3 ,634 320 3 65 2 0 - 2 6 - Female 19,792 4 ,175 1 1,880 3 ,136 329 2 30 2 3 - 1 9 - MOGOTIO 41,411 7 ,465 2 3,752 8 ,131 1,095 8 41 5 8 - 6 9 - Male 21,210 3 ,877 1 2,232 4 ,063 509 4 56 3 6 - 3 7 - Female 20,199 3 ,587 1 1,520 4 ,067 586 3 85 2 2 - 3 2 - TIATY EAST 12,368 2 ,900 7 ,000 1 ,861 291 1 62 9 5 - 5 9 - Male 6,714 1 ,506 3 ,727 1 ,104 177 1 15 5 1 - 3 4 - Female 5,654 1 ,394 3 ,273 7 57 114 4 7 4 4 - 2 5 - 62

Page 76

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) LAIKIPIA 184,613 3 4,072 1 02,094 3 9,207 3,868 4 ,848 1 72 5 3 47 - Male 94,751 1 7,510 5 2,306 2 0,082 1,879 2 ,693 7 0 3 2 08 - Female 89,858 1 6,560 4 9,787 1 9,124 1,989 2 ,155 1 02 2 1 39 - LAIKIPIA CENTRAL 34,143 5 ,689 1 8,542 8 ,263 884 6 50 1 7 - 9 8 - Male 17,659 2 ,958 9 ,601 4 ,281 422 3 39 6 - 5 2 - Female 16,484 2 ,731 8 ,941 3 ,982 462 3 11 1 1 - 4 6 - LAIKIPIA EAST 33,653 6 ,133 1 8,395 7 ,181 1,008 8 39 3 8 1 5 8 - Male 16,957 3 ,111 9 ,259 3 ,617 472 4 41 1 7 1 3 9 - Female 16,694 3 ,021 9 ,136 3 ,563 536 3 98 2 1 - 1 9 - LAIKIPIA NORTH 11,535 3 ,274 6 ,690 1 ,333 89 8 4 4 5 1 1 9 - Male 6,102 1 ,679 3 ,562 7 30 48 6 2 7 - 1 4 - Female 5,433 1 ,595 3 ,128 6 03 41 2 2 3 8 1 5 - LAIKIPIA WEST 44,887 8 ,817 2 5,935 8 ,808 628 5 72 4 7 - 8 0 - Male 23,244 4 ,571 1 3,337 4 ,602 323 3 44 2 7 - 4 0 - Female 21,642 4 ,246 1 2,597 4 ,206 305 2 28 2 0 - 4 0 - NYAHURURU 60,395 1 0,159 3 2,532 1 3,622 1,259 2 ,703 2 5 3 9 2 - Male 30,789 5 ,191 1 6,547 6 ,852 614 1 ,507 1 3 2 6 3 - Female 29,605 4 ,967 1 5,985 6 ,770 645 1 ,196 1 2 1 2 9 - NAKURU 843,280 1 53,266 4 64,226 1 76,486 24,332 2 3,149 4 29 1 6 1 ,376 - Male 429,850 7 8,693 2 36,584 8 8,992 11,283 1 3,325 1 91 9 7 73 - Female 413,397 7 4,569 2 27,621 8 7,487 13,049 9 ,823 2 38 7 6 03 - GILGIL 72,508 1 2,383 3 8,274 1 8,029 2,060 1 ,609 3 7 1 1 15 - Male 37,668 6 ,369 1 9,634 9 ,682 1,031 8 74 1 5 1 6 2 - Female 34,837 6 ,014 1 8,639 8 ,345 1,029 7 35 2 2 - 5 3 - KURESOI NORTH 78,524 1 4,835 4 8,052 1 3,457 1,051 9 66 4 2 1 1 20 - Male 40,306 7 ,614 2 4,692 6 ,770 522 6 21 2 2 1 6 4 - Female 38,216 7 ,221 2 3,359 6 ,686 529 3 45 2 0 - 5 6 - KURESOI SOUTH 70,014 1 2,604 4 3,004 1 1,734 1,271 1 ,245 3 9 - 1 17 - Male 36,116 6 ,539 2 2,143 5 ,977 604 7 69 2 0 - 6 4 - Female 33,896 6 ,065 2 0,859 5 ,757 667 4 76 1 9 - 5 3 - MOLO 65,127 1 1,434 3 7,005 1 3,988 1,288 1 ,282 3 5 - 9 5 - Male 33,330 5 ,777 1 9,150 6 ,975 595 7 60 1 8 - 5 5 - Female 31,795 5 ,656 1 7,854 7 ,013 693 5 22 1 7 - 4 0 - NAIVASHA 122,184 2 3,165 6 5,447 2 6,881 3,989 2 ,467 4 3 - 1 92 - Male 61,761 1 1,880 3 2,758 1 3,692 1,882 1 ,420 1 9 - 1 10 - Female 60,415 1 1,285 3 2,683 1 3,187 2,107 1 ,047 2 4 - 8 2 - NAKURU EAST 67,868 1 1,838 3 2,780 1 5,161 3,976 3 ,926 2 4 1 0 1 53 - Male 33,656 5 ,993 1 6,300 7 ,472 1,705 2 ,085 9 4 8 8 - Female 34,210 5 ,845 1 6,479 7 ,689 2,271 1 ,840 1 5 6 6 5 - 63

Page 77

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) NAKURU NORTH 82,270 1 4,859 4 3,262 1 8,877 2,582 2 ,503 3 1 - 1 56 - Male 41,720 7 ,624 2 2,062 9 ,327 1,154 1 ,450 1 1 - 9 2 - Female 40,543 7 ,234 2 1,195 9 ,549 1,428 1 ,053 2 0 - 6 4 - NAKURU WEST 67,111 1 2,623 3 4,045 1 4,087 3,387 2 ,775 2 8 4 1 62 - Male 33,350 6 ,387 1 6,942 6 ,850 1,479 1 ,589 1 1 3 8 9 - Female 33,758 6 ,235 1 7,102 7 ,236 1,908 1 ,186 1 7 1 7 3 - NJORO 101,530 1 9,870 5 8,333 1 8,808 1,631 2 ,735 6 0 - 9 3 - Male 52,332 1 0,178 3 0,134 9 ,456 781 1 ,705 2 8 - 5 0 - Female 49,198 9 ,692 2 8,199 9 ,352 850 1 ,030 3 2 - 4 3 - RONGAI 80,687 1 3,981 4 3,893 1 7,062 2,473 3 ,076 6 5 - 1 37 - Male 41,256 7 ,354 2 2,363 8 ,541 1,188 1 ,701 2 7 - 8 2 - Female 39,428 6 ,626 2 1,528 8 ,521 1,285 1 ,375 3 8 - 5 5 - SUBUKIA 35,457 5 ,674 2 0,131 8 ,402 624 5 65 2 5 - 3 6 - Male 18,355 2 ,978 1 0,406 4 ,250 342 3 51 1 1 - 1 7 - Female 17,101 2 ,696 9 ,724 4 ,152 282 2 14 1 4 - 1 9 - NAROK 481,160 1 06,175 2 92,483 6 7,390 7,678 5 ,820 6 36 2 0 9 58 - Male 248,214 5 4,394 1 49,321 3 6,119 3,836 3 ,660 3 41 1 5 5 28 - Female 232,941 5 1,779 1 43,159 3 1,271 3,842 2 ,160 2 95 5 4 30 - NAROK EAST 46,371 1 0,058 2 8,756 6 ,303 625 3 85 3 5 - 2 09 - Male 23,840 5 ,187 1 4,624 3 ,327 315 2 66 1 4 - 1 07 - Female 22,531 4 ,871 1 4,132 2 ,976 310 1 19 2 1 - 1 02 - NAROK NORTH 99,145 2 0,999 5 8,816 1 4,657 2,240 2 ,110 9 2 1 9 2 12 - Male 50,396 1 0,633 2 9,718 7 ,591 1,061 1 ,205 5 2 1 5 1 21 - Female 48,746 1 0,364 2 9,097 7 ,066 1,179 9 05 4 0 4 9 1 - NAROK SOUTH 94,417 2 1,280 5 8,430 1 2,399 1,182 8 54 1 47 - 1 25 - Male 49,039 1 0,945 3 0,053 6 ,707 608 5 68 8 9 - 6 9 - Female 45,378 1 0,335 2 8,377 5 ,692 574 2 86 5 8 - 5 6 - NAROK WEST 73,667 1 7,273 4 4,879 9 ,500 1,002 7 73 7 9 - 1 61 - Male 39,063 8 ,918 2 3,533 5 ,398 551 5 31 4 2 - 9 0 - Female 34,604 8 ,355 2 1,346 4 ,102 451 2 42 3 7 - 7 1 - TRANS MARA EAST 56,624 1 0,964 3 5,611 8 ,301 859 6 63 1 41 1 8 4 - Male 29,303 5 ,686 1 8,153 4 ,460 441 4 50 6 7 - 4 6 - Female 27,320 5 ,278 1 7,457 3 ,841 418 2 13 7 4 1 3 8 - TRANS MARA WEST 110,934 2 5,601 6 5,991 1 6,229 1,770 1 ,034 1 42 - 1 67 - Male 56,572 1 3,025 3 3,240 8 ,635 860 6 40 7 7 - 9 5 - Female 54,361 1 2,576 3 2,750 7 ,594 910 3 94 6 5 - 7 2 - MAU FOREST 2 - - 1 0 1 - - - - Male 1 - - 1 0 - - - - - Female 1 - - - 0 1 - - - - 64

Page 78

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) KAJIADO 389,090 8 2,844 2 08,959 6 5,039 14,852 1 5,652 4 42 3 9 1 ,262 1 Male 195,925 4 2,084 1 04,769 3 2,507 7,068 8 ,598 2 07 1 8 6 73 1 Female 193,153 4 0,758 1 04,184 3 2,530 7,783 7 ,053 2 35 2 1 5 89 - ISINYA 63,220 1 3,601 3 0,696 1 1,773 3,568 3 ,140 7 7 4 3 61 - Male 31,257 6 ,793 1 5,290 5 ,662 1,628 1 ,668 3 4 1 1 81 - Female 31,962 6 ,808 1 5,406 6 ,110 1,940 1 ,472 4 3 3 1 80 - KAJIADO CENTRAL 63,843 1 5,482 3 6,972 8 ,884 1,407 7 65 9 0 2 8 2 15 - Male 32,735 7 ,851 1 8,831 4 ,691 733 4 62 4 8 1 3 1 06 - Female 31,107 7 ,631 1 8,140 4 ,193 674 3 03 4 2 1 5 1 09 - KAJIADO NORTH 102,623 1 8,681 4 7,717 2 0,171 6,123 9 ,538 5 4 6 3 32 1 Male 50,880 9 ,421 2 3,680 9 ,616 2,825 5 ,132 1 9 3 1 83 1 Female 51,740 9 ,260 2 4,036 1 0,555 3,297 4 ,405 3 5 3 1 49 - KAJIADO WEST 64,855 1 5,035 3 6,458 1 0,049 1,851 1 ,250 6 1 - 1 51 - Male 33,179 7 ,726 1 8,421 5 ,249 916 7 44 3 3 - 9 0 - Female 31,673 7 ,309 1 8,034 4 ,800 935 5 06 2 8 - 6 1 - LOITOKITOK 70,006 1 5,136 4 3,218 9 ,514 1,271 6 09 1 10 - 1 48 - Male 35,391 7 ,764 2 1,500 4 ,928 667 4 00 4 5 - 8 7 - Female 34,612 7 ,371 2 1,717 4 ,585 604 2 09 6 5 - 6 1 - MASHUURU 24,543 4 ,909 1 3,898 4 ,648 632 3 50 5 0 1 5 5 - Male 12,483 2 ,529 7 ,047 2 ,361 299 1 92 2 8 1 2 6 - Female 12,059 2 ,379 6 ,851 2 ,287 333 1 58 2 2 - 2 9 - KERICHO 387,109 6 2,460 2 21,847 8 0,315 11,364 1 0,435 2 48 2 4 38 - Male 197,586 3 2,027 1 13,482 4 0,385 5,363 5 ,960 1 24 2 2 43 - Female 189,513 3 0,432 1 08,359 3 9,928 6,000 4 ,475 1 24 - 1 95 - BELGUT 60,638 8 ,431 3 4,423 1 3,603 2,053 2 ,033 1 6 - 7 9 - Male 30,818 4 ,300 1 7,531 6 ,826 983 1 ,131 7 - 4 0 - Female 29,820 4 ,131 1 6,892 6 ,777 1,070 9 02 9 - 3 9 - BURETI 86,254 1 3,583 4 7,997 1 9,278 2,842 2 ,394 5 9 - 1 01 - Male 43,631 6 ,925 2 4,469 9 ,419 1,350 1 ,385 3 0 - 5 3 - Female 42,621 6 ,658 2 3,526 9 ,859 1,492 1 ,009 2 9 - 4 8 - KERICHO EAST 67,745 1 0,939 3 7,672 1 3,763 2,595 2 ,647 4 3 - 8 6 - Male 34,263 5 ,589 1 9,149 6 ,836 1,158 1 ,468 2 0 - 4 3 - Female 33,482 5 ,350 1 8,523 6 ,927 1,437 1 ,179 2 3 - 4 3 - KIPKELION 55,631 1 0,165 3 2,751 1 0,610 1,067 9 07 5 2 1 7 8 - Male 28,758 5 ,218 1 6,814 5 ,554 542 5 50 2 8 1 5 1 - Female 26,872 4 ,947 1 5,937 5 ,055 525 3 57 2 4 - 2 7 - LONDIANI 60,196 1 0,107 3 4,803 1 2,439 1,419 1 ,358 2 8 - 4 2 - Male 30,865 5 ,160 1 7,840 6 ,348 676 8 05 1 1 - 2 5 - Female 29,325 4 ,946 1 6,959 6 ,090 743 5 53 1 7 - 1 7 - 65

Page 79

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) SOIN SIGOWET 56,645 9 ,235 3 4,201 1 0,622 1,388 1 ,096 5 0 1 5 2 - Male 29,251 4 ,835 1 7,679 5 ,402 654 6 21 2 8 1 3 1 - Female 27,393 4 ,400 1 6,522 5 ,220 733 4 75 2 2 - 2 1 - BOMET 400,330 6 4,231 2 34,857 7 9,100 12,007 9 ,333 2 01 2 5 99 - Male 205,930 3 3,347 1 20,121 4 0,515 5,865 5 ,638 1 07 1 3 36 - Female 194,390 3 0,882 1 14,729 3 8,585 6,141 3 ,695 9 4 1 2 63 - BOMET EAST 66,149 1 1,092 4 0,132 1 1,825 1,744 1 ,181 3 2 1 1 42 - Male 34,557 5 ,905 2 0,650 6 ,271 873 7 54 2 0 - 8 4 - Female 31,590 5 ,186 1 9,481 5 ,554 871 4 27 1 2 1 5 8 - CHEPALUNGU 80,719 1 2,852 4 8,838 1 5,215 1,945 1 ,736 3 7 - 9 6 - Male 41,395 6 ,642 2 4,878 7 ,764 936 1 ,105 1 7 - 5 3 - Female 39,321 6 ,210 2 3,957 7 ,451 1,009 6 31 2 0 - 4 3 - KONOIN 71,277 1 1,415 4 1,027 1 4,837 2,180 1 ,658 5 3 1 1 06 - Male 36,629 5 ,969 2 0,963 7 ,561 1,051 1 ,001 2 5 1 5 8 - Female 34,646 5 ,446 2 0,062 7 ,276 1,129 6 57 2 8 - 4 8 - SOTIK 106,570 1 6,831 6 1,300 2 2,031 3,389 2 ,831 4 7 - 1 41 - Male 54,539 8 ,631 3 1,278 1 1,175 1,686 1 ,666 2 5 - 7 8 - Female 52,029 8 ,199 3 0,021 1 0,856 1,703 1 ,165 2 2 - 6 3 - BOMET CENTRAL 75,615 1 2,041 4 3,560 1 5,192 2,749 1 ,927 3 2 - 1 14 - Male 38,810 6 ,200 2 2,352 7 ,744 1,319 1 ,112 2 0 - 6 3 - Female 36,804 5 ,841 2 1,208 7 ,448 1,429 8 15 1 2 - 5 1 - KAKAMEGA 853,032 1 53,022 5 15,692 1 51,152 16,498 1 4,362 8 69 1 2 1 ,425 - Male 428,345 7 8,499 2 59,308 7 2,772 8,038 8 ,441 4 72 8 8 07 - Female 424,667 7 4,517 2 56,374 7 8,379 8,458 5 ,921 3 97 4 6 17 - BUTERE 70,110 1 2,979 4 3,070 1 1,955 1,153 8 06 7 6 4 6 7 - Male 35,290 6 ,677 2 1,746 5 ,711 575 4 96 4 5 2 3 8 - Female 34,818 6 ,302 2 1,322 6 ,244 578 3 10 3 1 2 2 9 - KAKAMEGA CENTRAL 78,154 1 3,511 4 1,154 1 4,539 3,064 5 ,607 9 5 1 1 83 - Male 38,893 6 ,917 2 0,306 6 ,925 1,406 3 ,178 5 6 1 1 04 - Female 39,260 6 ,593 2 0,848 7 ,614 1,658 2 ,429 3 9 - 7 9 - KAKAMEGA EAST 73,954 1 2,981 4 6,108 1 2,522 1,464 6 72 7 8 1 1 28 - Male 37,256 6 ,748 2 3,242 5 ,968 780 3 95 4 3 - 8 0 - Female 36,695 6 ,233 2 2,865 6 ,553 683 2 77 3 5 1 4 8 - KAKAMEGA NORTH 112,147 2 0,635 6 8,063 1 9,774 2,150 1 ,218 1 53 - 1 54 - Male 56,409 1 0,501 3 4,412 9 ,544 1,071 7 13 9 0 - 7 8 - Female 55,734 1 0,132 3 3,649 1 0,230 1,079 5 05 6 3 - 7 6 - KAKAMEGA SOUTH 50,293 9 ,001 3 0,527 9 ,140 984 5 11 5 4 1 7 5 - Male 25,084 4 ,672 1 5,229 4 ,323 478 3 08 3 1 1 4 2 - Female 25,209 4 ,329 1 5,298 4 ,817 506 2 03 2 3 - 3 3 - 66

Page 80

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) KHWISERO 51,333 9 ,178 3 1,871 8 ,919 768 5 34 1 0 - 5 3 - Male 25,687 4 ,687 1 6,032 4 ,204 390 3 38 3 - 3 3 - Female 25,645 4 ,490 1 5,839 4 ,715 378 1 96 7 - 2 0 - LIKUYANI 68,899 1 1,555 4 0,951 1 3,820 1,249 1 ,024 1 05 - 1 95 - Male 34,856 5 ,951 2 0,968 6 ,614 602 5 71 5 0 - 1 00 - Female 34,041 5 ,604 1 9,982 7 ,206 646 4 53 5 5 - 9 5 - LUGARI 55,233 8 ,981 3 2,741 1 1,540 1,111 6 86 6 8 - 1 06 - Male 27,808 4 ,567 1 6,642 5 ,603 528 3 74 3 1 - 6 3 - Female 27,425 4 ,414 1 6,099 5 ,937 583 3 12 3 7 - 4 3 - MATETE 31,089 5 ,564 1 9,073 5 ,545 511 3 07 2 7 1 6 1 - Male 15,709 2 ,873 9 ,705 2 ,650 242 1 85 1 3 - 4 1 - Female 15,380 2 ,691 9 ,368 2 ,895 269 1 22 1 4 1 2 0 - MATUNGU 78,781 1 4,859 4 9,538 1 2,550 969 6 80 4 6 3 1 36 - Male 39,392 7 ,547 2 4,684 6 ,133 478 4 52 2 2 3 7 3 - Female 39,387 7 ,311 2 4,853 6 ,417 491 2 28 2 4 - 6 3 - MUMIAS EAST 55,214 1 0,339 3 3,790 9 ,192 962 8 09 3 8 - 8 4 - Male 27,824 5 ,329 1 6,957 4 ,500 459 5 12 2 1 - 4 6 - Female 27,388 5 ,010 1 6,831 4 ,692 503 2 97 1 7 - 3 8 - MUMIAS WEST 53,145 9 ,722 3 2,085 9 ,552 859 8 14 4 8 1 6 4 - Male 26,655 5 ,020 1 6,010 4 ,699 382 4 81 2 6 1 3 6 - Female 26,490 4 ,702 1 6,075 4 ,853 477 3 33 2 2 - 2 8 - NAVAKHOLO 74,680 1 3,717 4 6,721 1 2,104 1,254 6 94 7 1 - 1 19 - Male 37,482 7 ,010 2 3,375 5 ,898 647 4 38 4 1 - 7 3 - Female 37,195 6 ,706 2 3,345 6 ,206 607 2 56 3 0 - 4 5 - VIHIGA 257,982 4 2,486 1 55,773 4 9,704 5,490 3 ,864 2 53 3 4 09 - Male 129,422 2 1,635 7 8,677 2 3,738 2,746 2 ,250 1 24 3 2 49 - Female 128,556 2 0,850 7 7,094 2 5,966 2,743 1 ,614 1 29 - 1 60 - EMUHAYA 42,853 7 ,647 2 6,601 7 ,332 720 4 47 3 4 1 7 1 - Male 21,470 3 ,934 1 3,363 3 ,477 363 2 69 1 9 1 4 4 - Female 21,383 3 ,713 1 3,238 3 ,855 357 1 78 1 5 - 2 7 - VIHIGA 41,104 6 ,836 2 3,817 8 ,582 1,118 6 62 2 9 - 6 0 - Male 20,629 3 ,504 1 2,060 4 ,050 579 3 84 1 6 - 3 6 - Female 20,475 3 ,332 1 1,757 4 ,532 539 2 78 1 3 - 2 4 - SABATIA 57,435 8 ,827 3 4,581 1 1,624 1,368 9 17 2 2 1 9 5 - Male 28,652 4 ,459 1 7,366 5 ,593 656 5 03 1 2 1 6 2 - Female 28,782 4 ,367 1 7,215 6 ,031 712 4 14 1 0 - 3 3 - LUANDA 45,308 8 ,093 2 7,327 8 ,121 883 7 53 4 7 - 8 4 - Male 22,740 4 ,113 1 3,772 3 ,876 458 4 53 2 2 - 4 6 - Female 22,568 3 ,980 1 3,555 4 ,245 425 3 00 2 5 - 3 8 - 67

Page 81

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) HAMISI 71,281 1 1,083 4 3,447 1 4,045 1,400 1 ,085 1 21 1 9 9 - Male 35,931 5 ,625 2 2,116 6 ,742 690 6 41 5 5 1 6 1 - Female 35,347 5 ,458 2 1,329 7 ,303 709 4 44 6 6 - 3 8 - KAKAMEGA FOREST 1 - - - 1 - - - - - Male - - - - 0 - - - - - Female 1 - - - 1 - - - - - BUNGOMA 782,677 1 40,454 4 61,621 1 48,766 17,041 1 2,445 8 05 1 1 1 ,534 - Male 396,144 7 1,721 2 34,479 7 2,938 8,172 7 ,512 4 21 6 8 95 - Female 386,512 6 8,729 2 27,130 7 5,823 8,869 4 ,933 3 84 5 6 39 - BUMULA 102,696 1 8,704 6 3,464 1 7,670 1,704 8 90 1 09 - 1 55 - Male 51,685 9 ,493 3 2,073 8 ,535 861 5 62 6 8 - 9 3 - Female 51,010 9 ,211 3 1,390 9 ,135 843 3 28 4 1 - 6 2 - BUNGOMA CENTRAL 83,204 1 5,040 4 8,733 1 5,838 2,028 1 ,187 6 0 1 3 17 - Male 41,882 7 ,638 2 4,630 7 ,598 993 8 14 3 1 - 1 78 - Female 41,319 7 ,402 2 4,101 8 ,239 1,035 3 73 2 9 1 1 39 - BUNGOMA EAST 54,673 9 ,994 3 1,446 1 1,140 1,166 7 93 3 6 1 9 7 - Male 27,756 5 ,105 1 6,097 5 ,474 530 4 68 1 7 - 6 5 - Female 26,916 4 ,889 1 5,349 5 ,665 636 3 25 1 9 1 3 2 - BUNGOMA NORTH 58,637 9 ,582 3 4,348 1 2,304 1,381 8 96 3 7 1 8 8 - Male 29,768 4 ,938 1 7,558 6 ,019 640 5 47 1 5 - 5 1 - Female 28,868 4 ,644 1 6,790 6 ,284 741 3 49 2 2 1 3 7 - BUNGOMA SOUTH 127,072 2 2,623 6 9,457 2 5,799 4,099 4 ,619 2 31 4 2 40 - Male 63,234 1 1,509 3 4,568 1 2,311 1,921 2 ,659 1 23 3 1 40 - Female 63,836 1 1,114 3 4,887 1 3,488 2,178 1 ,960 1 08 1 1 00 - CHEPTAIS 64,726 1 3,309 3 9,912 1 0,080 710 4 76 8 5 - 1 54 - Male 33,517 6 ,903 2 0,560 5 ,238 340 3 35 4 3 - 9 8 - Female 31,205 6 ,404 1 9,350 4 ,842 370 1 41 4 2 - 5 6 - KIMILILI 74,973 1 2,656 4 4,550 1 4,913 1,624 9 73 7 8 2 1 77 - Male 37,873 6 ,404 2 2,614 7 ,337 795 5 89 3 7 1 9 6 - Female 37,097 6 ,252 2 1,933 7 ,576 829 3 84 4 1 1 8 1 - MT. ELGON 38,081 6 ,680 2 2,573 7 ,602 619 5 51 3 1 - 2 5 - Male 19,547 3 ,398 1 1,628 3 ,874 273 3 40 1 7 - 1 7 - Female 18,532 3 ,281 1 0,944 3 ,728 346 2 11 1 4 - 8 - BUNGOMA WEST 56,958 1 0,704 3 4,973 9 ,559 1,047 4 82 8 6 - 1 07 - Male 28,777 5 ,456 1 7,727 4 ,660 525 3 10 4 1 - 5 8 - Female 28,180 5 ,248 1 7,246 4 ,898 522 1 72 4 5 - 4 9 - TONGAREN 47,790 7 ,816 2 8,341 1 0,000 969 5 77 2 2 1 6 4 - Male 24,466 4 ,002 1 4,623 4 ,979 486 3 33 1 0 1 3 2 - Female 23,323 3 ,814 1 3,718 5 ,020 483 2 44 1 2 - 3 2 - 68

Page 82

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) WEBUYE WEST 72,319 1 3,004 4 2,802 1 3,687 1,693 9 94 2 8 1 1 10 - Male 36,806 6 ,694 2 1,855 6 ,813 807 5 51 1 8 1 6 7 - Female 35,511 6 ,309 2 0,946 6 ,874 886 4 43 1 0 - 4 3 - MT. ELGON FOREST 1,548 3 42 1 ,022 1 74 1 7 2 - - - Male 833 1 81 5 46 1 00 1 4 1 - - - Female 715 1 61 4 76 7 4 0 3 1 - - - BUSIA 405,072 7 5,339 2 43,572 7 3,272 7,042 4 ,807 4 36 9 5 95 - Male 202,993 3 8,083 1 21,425 3 6,562 3,470 2 ,846 2 45 6 3 56 - Female 202,061 3 7,252 1 22,134 3 6,710 3,571 1 ,961 1 91 3 2 39 - BUNYALA 38,459 7 ,696 2 3,270 6 ,275 639 4 64 3 3 1 8 1 - Male 19,533 3 ,860 1 1,720 3 ,246 343 2 92 1 4 1 5 7 - Female 18,926 3 ,836 1 1,550 3 ,029 296 1 72 1 9 - 2 4 - BUSIA 60,486 1 0,959 3 5,975 1 1,189 1,298 9 16 4 4 1 1 04 - Male 30,010 5 ,495 1 7,879 5 ,426 612 5 13 1 8 1 6 6 - Female 30,475 5 ,464 1 8,095 5 ,763 686 4 03 2 6 - 3 8 - BUTULA 65,364 1 1,409 4 0,825 1 1,417 896 6 26 1 08 1 8 2 - Male 32,668 5 ,807 2 0,323 5 ,601 427 3 98 6 7 - 4 5 - Female 32,695 5 ,602 2 0,502 5 ,816 468 2 28 4 1 1 3 7 - NAMBALE 52,698 8 ,669 3 2,505 9 ,750 953 6 83 3 7 1 1 00 - Male 26,187 4 ,319 1 6,260 4 ,680 449 3 98 2 0 1 6 0 - Female 26,509 4 ,350 1 6,243 5 ,070 504 2 85 1 7 - 4 0 - SAMIA 48,054 8 ,939 2 9,061 8 ,719 720 4 87 6 7 2 5 9 - Male 24,303 4 ,501 1 4,522 4 ,519 388 2 93 4 4 2 3 4 - Female 23,739 4 ,435 1 4,530 4 ,200 332 1 94 2 3 - 2 5 - TESO NORTH 63,423 1 2,242 3 7,069 1 2,126 1,152 7 11 5 4 2 6 7 - Male 31,916 6 ,227 1 8,509 6 ,087 583 4 40 2 8 1 4 1 - Female 31,506 6 ,014 1 8,560 6 ,039 569 2 71 2 6 1 2 6 - TESO SOUTH 76,588 1 5,425 4 4,867 1 3,796 1,384 9 20 9 3 1 1 02 - Male 38,376 7 ,874 2 2,212 7 ,003 668 5 12 5 4 - 5 3 - Female 38,211 7 ,551 2 2,654 6 ,793 716 4 08 3 9 1 4 9 - SIAYA 441,450 8 5,951 2 61,013 7 7,243 8,682 7 ,546 2 35 1 2 7 68 - Male 223,195 4 3,855 1 31,985 3 8,147 3,974 4 ,665 1 24 9 4 36 - Female 218,250 4 2,094 1 29,027 3 9,096 4,707 2 ,881 1 11 3 3 31 - SIAYA 97,831 1 9,091 5 8,313 1 6,472 2,121 1 ,632 4 1 1 1 60 - Male 49,139 9 ,773 2 9,239 8 ,114 914 9 86 2 2 1 9 0 - Female 48,691 9 ,318 2 9,074 8 ,358 1,207 6 46 1 9 - 6 9 - GEM 79,914 1 5,320 4 8,491 1 3,551 1,378 1 ,054 2 0 - 1 00 - Male 40,606 7 ,881 2 4,778 6 ,616 616 6 47 8 - 6 0 - Female 39,306 7 ,437 2 3,713 6 ,935 762 4 07 1 2 - 4 0 - 69

Page 83

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) UGENYA 60,785 1 1,524 3 6,457 1 1,099 814 7 60 3 6 1 9 4 - Male 31,007 5 ,946 1 8,592 5 ,535 374 4 85 1 9 - 5 6 - Female 29,777 5 ,578 1 7,865 5 ,564 439 2 75 1 7 1 3 8 - UGUNJA 46,310 8 ,790 2 7,498 8 ,573 763 5 92 2 9 2 6 3 - Male 23,305 4 ,399 1 3,855 4 ,291 366 3 49 1 4 1 3 0 - Female 23,005 4 ,391 1 3,643 4 ,282 397 2 43 1 5 1 3 3 - BONDO 86,934 1 7,485 4 9,755 1 4,647 2,188 2 ,595 5 7 3 2 04 - Male 43,785 8 ,881 2 4,920 7 ,154 1,035 1 ,639 3 2 3 1 21 - Female 43,148 8 ,604 2 4,834 7 ,493 1,153 9 56 2 5 - 8 3 - RARIEDA 69,676 1 3,741 4 0,499 1 2,901 1,418 9 13 5 2 5 1 47 - Male 35,353 6 ,975 2 0,601 6 ,437 669 5 59 2 9 4 7 9 - Female 34,323 6 ,766 1 9,898 6 ,464 749 3 54 2 3 1 6 8 - KISUMU 504,812 9 5,270 2 77,804 9 6,895 16,444 1 7,317 3 49 1 0 7 23 - Male 253,600 4 8,333 1 39,309 4 7,712 7,820 9 ,852 1 84 7 3 83 - Female 251,209 4 6,937 1 38,492 4 9,183 8,624 7 ,465 1 65 3 3 40 - KISUMU EAST 89,998 1 7,974 4 7,373 1 7,091 4,141 3 ,272 5 0 3 9 4 - Male 44,568 9 ,113 2 3,348 8 ,180 2,030 1 ,824 2 4 3 4 6 - Female 45,429 8 ,861 2 4,024 8 ,911 2,111 1 ,448 2 6 - 4 8 - KISUMU CENTRAL 68,344 1 1,653 3 2,392 1 4,772 4,683 4 ,663 3 0 2 1 49 - Male 32,743 5 ,759 1 5,639 6 ,782 2,072 2 ,398 1 5 - 7 8 - Female 35,601 5 ,894 1 6,753 7 ,990 2,611 2 ,265 1 5 2 7 1 - KISUMU WEST 75,229 1 3,371 4 0,444 1 3,930 2,316 5 ,027 6 0 2 7 9 - Male 38,152 6 ,837 2 0,242 6 ,930 1,101 2 ,962 3 1 2 4 7 - Female 37,077 6 ,534 2 0,202 7 ,000 1,215 2 ,065 2 9 - 3 2 - SEME 56,390 1 0,567 3 3,461 1 0,618 915 7 34 5 4 - 4 1 - Male 28,762 5 ,358 1 7,088 5 ,357 437 4 75 2 5 - 2 2 - Female 27,628 5 ,209 1 6,373 5 ,261 478 2 59 2 9 - 1 9 - MUHORONI 68,825 1 3,942 4 0,448 1 2,052 1,231 9 98 4 7 - 1 07 - Male 35,108 7 ,118 2 0,497 6 ,176 626 6 01 2 9 - 6 1 - Female 33,716 6 ,824 1 9,950 5 ,876 605 3 97 1 8 - 4 6 - NYANDO 73,976 1 4,207 4 2,861 1 3,863 1,632 1 ,266 5 9 2 8 6 - Male 37,454 7 ,322 2 1,670 6 ,830 788 7 66 3 3 1 4 4 - Female 36,521 6 ,885 2 1,190 7 ,033 844 5 00 2 6 1 4 2 - NYAKACH 72,050 1 3,556 4 0,825 1 4,569 1,526 1 ,357 4 9 1 1 67 - Male 36,813 6 ,826 2 0,825 7 ,457 766 8 26 2 7 1 8 5 - Female 35,237 6 ,730 2 0,000 7 ,112 760 5 31 2 2 - 8 2 - HOMA BAY 539,753 1 19,196 3 00,787 9 8,144 11,286 9 ,136 4 30 7 7 67 - Male 274,952 6 0,626 1 51,200 5 0,766 5,763 5 ,971 2 02 1 4 23 - Female 264,796 5 8,569 1 49,584 4 7,377 5,523 3 ,165 2 28 6 3 44 - 70

Page 84

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) HOMA BAY 54,222 1 1,315 2 8,712 1 0,772 1,647 1 ,645 4 4 1 8 6 - Male 27,015 5 ,772 1 4,090 5 ,333 763 9 87 1 8 - 5 2 - Female 27,207 5 ,543 1 4,622 5 ,439 884 6 58 2 6 1 3 4 - NDHIWA 105,309 2 6,161 6 0,141 1 6,181 1,541 1 ,110 5 3 - 1 22 - Male 53,904 1 3,218 3 0,413 8 ,596 818 7 67 2 2 - 7 0 - Female 51,403 1 2,942 2 9,727 7 ,585 723 3 43 3 1 - 5 2 - RACHUONYO NORTH 84,682 1 7,633 4 7,176 1 6,313 1,974 1 ,419 6 7 1 9 9 - Male 43,300 8 ,989 2 3,798 8 ,407 1,052 9 62 4 0 - 5 2 - Female 41,382 8 ,644 2 3,378 7 ,906 922 4 57 2 7 1 4 7 - RACHUONYO EAST 60,292 1 2,160 3 4,418 1 1,443 1,157 9 57 6 3 1 9 3 - Male 30,901 6 ,175 1 7,532 5 ,902 575 6 23 3 6 1 5 7 - Female 29,390 5 ,985 1 6,886 5 ,540 582 3 34 2 7 - 3 6 - RACHUONYO SOUTH 63,280 1 2,916 3 5,049 1 2,243 1,580 1 ,347 5 0 2 9 3 - Male 31,952 6 ,564 1 7,594 6 ,122 749 8 61 1 8 - 4 4 - Female 31,328 6 ,352 1 7,455 6 ,121 831 4 86 3 2 2 4 9 - RANGWE 57,746 1 2,796 3 2,618 1 0,246 1,108 8 38 3 6 2 1 02 - Male 29,547 6 ,664 1 6,400 5 ,257 588 5 71 1 7 - 5 0 - Female 28,197 6 ,132 1 6,216 4 ,989 520 2 67 1 9 2 5 2 - SUBA NORTH 56,957 1 2,846 3 1,028 1 0,607 1,327 1 ,026 4 6 - 7 7 - Male 28,966 6 ,457 1 5,559 5 ,530 684 6 71 1 9 - 4 6 - Female 27,991 6 ,389 1 5,469 5 ,077 643 3 55 2 7 - 3 1 - SUBA SOUTH 57,265 1 3,369 3 1,645 1 0,339 952 7 94 7 1 - 9 5 - Male 29,367 6 ,787 1 5,814 5 ,619 534 5 29 3 2 - 5 2 - Female 27,898 6 ,582 1 5,831 4 ,720 418 2 65 3 9 - 4 3 - MIGORI 522,757 1 15,908 3 01,799 8 5,903 9,432 8 ,476 5 03 2 4 7 11 1 Male 265,417 5 8,670 1 51,180 4 4,734 4,723 5 ,422 2 62 9 4 16 1 Female 257,326 5 7,234 1 50,612 4 1,168 4,708 3 ,054 2 40 1 5 2 95 - AWENDO 56,849 1 2,262 3 2,110 1 0,164 1,200 1 ,012 3 9 1 6 1 - Male 29,012 6 ,272 1 6,144 5 ,251 631 6 55 2 0 - 3 9 - Female 27,836 5 ,990 1 5,965 4 ,913 569 3 57 1 9 1 2 2 - KURIA EAST 44,090 8 ,581 2 7,840 6 ,590 540 4 33 4 6 - 6 0 - Male 22,712 4 ,423 1 4,065 3 ,574 285 3 06 2 3 - 3 6 - Female 21,375 4 ,157 1 3,774 3 ,015 255 1 27 2 3 - 2 4 - KURIA WEST 94,801 1 9,547 5 7,915 1 4,459 1,380 1 ,203 1 77 1 8 1 02 - Male 47,912 9 ,844 2 8,892 7 ,643 653 7 25 9 5 7 5 3 - Female 46,886 9 ,702 2 9,022 6 ,816 727 4 78 8 1 1 1 4 9 - NYATIKE 81,986 2 0,496 4 5,920 1 2,989 1,247 1 ,154 4 1 2 1 37 - Male 41,715 1 0,354 2 2,955 6 ,838 647 8 21 2 1 2 7 7 - Female 40,267 1 0,142 2 2,962 6 ,151 599 3 33 2 0 - 6 0 - 71

Page 85

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) RONGO 60,225 1 2,389 3 2,837 1 1,274 1,638 1 ,943 4 5 - 9 9 - Male 30,467 6 ,295 1 6,401 5 ,715 797 1 ,183 2 0 - 5 6 - Female 29,757 6 ,094 1 6,435 5 ,559 841 7 60 2 5 - 4 3 - SUNA EAST 57,149 1 2,534 3 2,377 9 ,861 1,226 1 ,020 3 8 2 9 0 1 Male 28,762 6 ,340 1 6,122 4 ,978 615 6 36 1 8 - 5 2 1 Female 28,385 6 ,192 1 6,255 4 ,883 611 3 84 2 0 2 3 8 - SUNA WEST 58,786 1 4,183 3 2,714 9 ,424 1,325 9 87 5 8 1 9 4 - Male 29,543 7 ,118 1 6,275 4 ,824 616 6 16 3 5 - 5 9 - Female 29,243 7 ,065 1 6,439 4 ,600 709 3 71 2 3 1 3 5 - URIRI 68,871 1 5,916 4 0,086 1 1,142 876 7 24 5 9 - 6 8 - Male 35,294 8 ,024 2 0,326 5 ,911 479 4 80 3 0 - 4 4 - Female 33,577 7 ,892 1 9,760 5 ,231 397 2 44 2 9 - 2 4 - KISII 557,477 1 04,389 3 08,995 1 19,074 11,720 1 1,965 6 27 1 5 6 92 - Male 282,802 5 3,060 1 56,435 5 9,803 5,578 7 ,222 3 14 9 3 81 - Female 274,662 5 1,329 1 52,552 5 9,268 6,141 4 ,742 3 13 6 3 11 - ETAGO 39,960 8 ,225 2 2,843 7 ,810 485 4 95 5 0 1 5 1 - Male 20,355 4 ,139 1 1,539 4 ,046 254 3 24 2 2 - 3 1 - Female 19,604 4 ,086 1 1,304 3 ,764 231 1 70 2 8 1 2 0 - GUCHA 37,772 7 ,061 2 1,263 7 ,866 675 8 22 1 9 1 6 5 - Male 19,109 3 ,620 1 0,731 3 ,923 293 4 94 1 1 1 3 6 - Female 18,663 3 ,441 1 0,532 3 ,943 382 3 28 8 - 2 9 - GUCHA SOUTH 38,156 7 ,406 2 1,563 7 ,608 737 7 46 4 3 - 5 3 - Male 19,473 3 ,775 1 0,952 3 ,920 317 4 60 2 0 - 2 9 - Female 18,682 3 ,631 1 0,610 3 ,688 420 2 86 2 3 - 2 4 - KENYENYA 59,619 1 1,420 3 3,272 1 2,992 808 9 52 1 24 2 4 9 - Male 30,262 5 ,808 1 6,729 6 ,695 365 5 76 6 1 1 2 7 - Female 29,356 5 ,612 1 6,542 6 ,297 443 3 76 6 3 1 2 2 - KISII CENTRAL 68,085 1 1,882 3 5,362 1 5,136 2,765 2 ,822 4 0 - 7 8 - Male 34,485 6 ,067 1 7,917 7 ,419 1,331 1 ,683 2 0 - 4 8 - Female 33,599 5 ,815 1 7,445 7 ,717 1,433 1 ,139 2 0 - 3 0 - KISII SOUTH 59,783 1 1,234 3 4,235 1 1,998 1,194 9 53 1 05 - 6 4 - Male 30,077 5 ,693 1 7,196 6 ,012 542 5 42 5 9 - 3 3 - Female 29,702 5 ,541 1 7,035 5 ,986 652 4 11 4 6 - 3 1 - KITUTU CENTRAL 64,027 1 2,259 3 4,572 1 3,012 2,011 2 ,024 4 6 2 1 01 - Male 32,137 6 ,261 1 7,396 6 ,296 943 1 ,159 2 5 1 5 6 - Female 31,889 5 ,998 1 7,176 6 ,715 1,068 8 65 2 1 1 4 5 - MARANI 47,285 8 ,460 2 7,394 1 0,078 660 6 28 2 5 - 4 0 - Male 24,220 4 ,258 1 4,072 5 ,109 343 4 04 1 5 - 1 9 - Female 23,064 4 ,202 1 3,321 4 ,969 317 2 24 1 0 - 2 1 - 72

Page 86

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) MASABA SOUTH 54,102 9 ,795 2 9,437 1 2,701 1,003 1 ,009 6 9 3 8 5 - Male 27,657 4 ,953 1 5,091 6 ,412 502 6 24 3 3 1 4 1 - Female 26,444 4 ,842 1 4,346 6 ,288 501 3 85 3 6 2 4 4 - NYAMACHE 58,975 1 1,306 3 2,124 1 3,433 888 1 ,060 7 9 6 7 9 - Male 30,113 5 ,756 1 6,372 6 ,799 432 6 68 3 6 5 4 5 - Female 28,862 5 ,550 1 5,752 6 ,634 456 3 92 4 3 1 3 4 - SAMETA 29,713 5 ,341 1 6,930 6 ,440 494 4 54 2 7 - 2 7 - Male 14,914 2 ,730 8 ,440 3 ,172 256 2 88 1 2 - 1 6 - Female 14,797 2 ,611 8 ,489 3 ,267 238 1 66 1 5 - 1 1 - NYAMIRA 260,426 4 5,908 1 44,682 5 8,615 5,335 5 ,117 3 45 1 0 4 14 - Male 132,577 2 3,539 7 3,848 2 9,171 2,537 3 ,096 1 55 7 2 24 - Female 127,840 2 2,367 7 0,829 2 9,443 2,797 2 ,021 1 90 3 1 90 - BORABU 30,834 5 ,153 1 6,856 7 ,195 745 8 23 2 1 - 4 1 - Male 15,988 2 ,693 8 ,737 3 ,670 368 4 93 6 - 2 1 - Female 14,846 2 ,460 8 ,119 3 ,525 377 3 30 1 5 - 2 0 - MANGA 40,147 6 ,907 2 2,038 9 ,382 920 7 77 6 2 1 6 0 - Male 20,317 3 ,512 1 1,177 4 ,669 435 4 58 2 8 1 3 7 - Female 19,828 3 ,394 1 0,860 4 ,713 485 3 19 3 4 - 2 3 - MASABA NORTH 47,656 8 ,095 2 6,640 1 0,953 890 9 33 8 9 2 5 4 - Male 24,105 4 ,068 1 3,532 5 ,476 406 5 56 3 9 1 2 7 - Female 23,550 4 ,026 1 3,108 5 ,477 484 3 77 5 0 1 2 7 - NYAMIRA NORTH 73,889 1 3,427 4 1,591 1 6,023 1,365 1 ,235 1 27 2 1 19 - Male 37,652 6 ,920 2 1,314 7 ,870 667 7 52 5 8 2 6 9 - Female 36,233 6 ,507 2 0,275 8 ,152 697 4 83 6 9 - 5 0 - NYAMIRA SOUTH 67,900 1 2,326 3 7,557 1 5,062 1,415 1 ,349 4 6 5 1 40 - Male 34,515 6 ,346 1 9,088 7 ,486 661 8 37 2 4 3 7 0 - Female 33,383 5 ,980 1 8,467 7 ,576 754 5 12 2 2 2 7 0 - NAIROBI CITY 1,358,304 2 63,792 6 44,279 2 63,299 79,022 9 8,948 1 ,053 3 ,844 4 ,066 1 Male 671,188 1 32,823 3 17,016 1 25,968 37,429 5 3,457 4 49 1 ,859 2 ,186 1 Female 687,064 1 30,960 3 27,240 1 37,325 41,590 4 5,481 6 04 1 ,985 1 ,879 - DAGORETTI 133,970 2 7,662 6 5,884 2 6,628 7,493 5 ,824 9 5 4 3 80 - Male 65,978 1 3,875 3 2,399 1 2,643 3,575 3 ,225 4 6 3 2 12 - Female 67,984 1 3,785 3 3,482 1 3,985 3,917 2 ,597 4 9 1 1 68 - EMBAKASI 298,718 6 2,643 1 41,648 5 4,913 17,893 2 0,184 1 79 3 94 8 64 - Male 146,665 3 1,553 6 9,431 2 5,766 8,277 1 0,919 8 6 1 82 4 51 - Female 152,044 3 1,089 7 2,212 2 9,146 9,616 9 ,263 9 3 2 12 4 13 - 73

Page 87

Table 2.3: Distribution of Population Age 3 Years and Above Currently Attending School/Learning Institution by Education Level, Area of Residence, Sex, County and Sub-County Middle Level/ Technical Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary and Vocational Training University Madrasa/ Duksi Don’t Know Not Stated Education (TVET) KAMUKUNJI 76,129 1 3,504 3 7,164 1 4,744 3,762 3 ,858 2 34 2 ,654 2 09 - Male 38,702 6 ,831 1 8,555 7 ,499 1,970 2 ,336 9 6 1 ,285 1 30 - Female 37,427 6 ,673 1 8,609 7 ,245 1,792 1 ,522 1 38 1 ,369 7 9 - KASARANI 246,064 4 8,702 1 15,737 4 7,027 15,038 1 8,730 1 02 2 2 7 06 - Male 121,382 2 4,605 5 6,693 2 2,502 6,898 1 0,260 4 1 1 4 3 69 - Female 124,669 2 4,096 5 9,036 2 4,524 8,140 8 ,467 6 1 8 3 37 - KIBRA 64,675 1 1,652 3 1,544 1 3,422 3,444 4 ,341 7 0 5 1 97 - Male 31,846 5 ,846 1 5,438 6 ,430 1,674 2 ,325 2 2 3 1 08 - Female 32,828 5 ,806 1 6,105 6 ,992 1,770 2 ,016 4 8 2 8 9 - LANG’ATA 63,974 9 ,786 2 6,330 1 2,524 3,717 1 1,132 5 5 1 64 2 66 - Male 31,677 4 ,965 1 3,110 6 ,040 1,712 5 ,608 2 6 7 6 1 40 - Female 32,294 4 ,820 1 3,219 6 ,484 2,005 5 ,524 2 9 8 8 1 25 - MAKADARA 55,981 1 0,454 2 6,042 1 1,340 3,911 4 ,046 3 6 6 1 46 - Male 27,872 5 ,292 1 2,846 5 ,415 1,927 2 ,287 1 7 6 8 2 - Female 28,105 5 ,162 1 3,194 5 ,925 1,982 1 ,759 1 9 - 6 4 - MATHARE 61,040 1 2,944 3 2,072 1 0,820 2,932 1 ,987 2 6 4 1 2 18 - Male 30,150 6 ,361 1 5,801 5 ,188 1,433 1 ,207 1 3 3 0 1 17 - Female 30,888 6 ,583 1 6,270 5 ,631 1,499 7 80 1 3 1 1 1 01 - NJIRU 205,700 4 1,876 1 02,375 4 1,503 10,135 9 ,286 7 2 8 4 44 1 Male 101,161 2 1,133 5 0,407 1 9,666 4,673 5 ,015 3 3 4 2 29 1 Female 104,534 2 0,740 5 1,967 2 1,836 5,462 4 ,271 3 9 4 2 15 - STAREHE 63,879 9 ,642 2 6,171 1 2,260 5,532 9 ,350 1 13 5 26 2 85 - Male 32,284 4 ,813 1 2,967 5 ,985 2,746 5 ,319 4 2 2 50 1 62 - Female 31,593 4 ,829 1 3,204 6 ,275 2,786 4 ,029 7 1 2 76 1 23 - WESTLANDS 88,174 1 4,927 3 9,312 1 8,118 5,165 1 0,210 7 1 2 0 3 51 - Male 43,471 7 ,549 1 9,369 8 ,834 2,544 4 ,956 2 7 6 1 86 - Female 4 4,698 7 ,377 1 9,942 9 ,282 2,621 5 ,253 4 4 1 4 1 65 -

• Intersex population is excluded from the table since it is too small to be distributed at sub-national level. 74

Page 88

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) KENYA 36,212,477 3 ,616,843 18,341,098 9 ,787,320 2,755,273 1,511,943 3 7,546 51,996 101,326 9 ,132 Rural 2 4,039,655 2 ,629,252 1 3,757,157 5 ,805,561 1 ,210,293 5 13,134 3 0,783 2 8,994 5 9,188 5 ,293 Urban 1 2,172,822 9 87,591 4 ,583,941 3 ,981,759 1 ,544,980 9 98,809 6 ,763 2 3,002 4 2,138 3 ,839 Male 1 8,127,920 1 ,831,127 9 ,014,925 4 ,953,224 1 ,342,878 8 79,128 1 6,510 2 7,251 5 8,314 4 ,563 Female 1 8,083,556 1 ,785,619 9 ,325,664 4 ,833,831 1 ,412,336 6 32,760 2 1,034 2 4,745 4 3,003 4 ,564 Intersex 1 ,001 9 7 5 09 2 65 5 9 5 5 2 - 9 5 MOMBASA 9 90,259 9 7,076 4 30,763 3 00,239 1 08,066 4 6,081 7 49 3 ,678 3 ,356 2 51 Male 5 07,180 4 8,282 2 11,461 1 62,278 5 4,043 2 7,031 3 58 1 ,645 1 ,947 1 35 Female 4 83,066 4 8,794 2 19,295 1 37,959 5 4,022 1 9,047 3 91 2 ,033 1 ,409 1 16 CHANGAMWE 1 13,346 9 ,412 4 6,958 3 8,842 1 3,618 3 ,955 6 4 7 4 4 11 1 2 Male 5 9,561 4 ,716 2 3,470 2 1,191 7 ,386 2 ,472 3 1 3 6 2 55 4 Female 5 3,785 4 ,696 2 3,488 1 7,651 6 ,232 1 ,483 3 3 3 8 1 56 8 JOMVU 1 35,585 1 4,579 6 2,392 4 1,001 1 3,043 4 ,093 8 2 5 4 3 13 2 8 Male 7 0,085 7 ,282 3 0,863 2 2,200 6 ,882 2 ,574 4 6 2 3 2 01 1 4 Female 6 5,497 7 ,297 3 1,527 1 8,801 6 ,160 1 ,519 3 6 3 1 1 12 1 4 KISAUNI 2 36,303 2 5,085 1 07,205 6 6,247 2 6,453 9 ,820 1 72 3 13 9 39 6 9 Male 1 20,288 1 2,592 5 2,942 3 5,161 1 2,989 5 ,824 8 3 1 40 5 19 3 8 Female 1 16,013 1 2,493 5 4,262 3 1,086 1 3,464 3 ,995 8 9 1 73 4 20 3 1 LIKONI 2 03,522 2 3,313 9 4,569 6 3,217 1 6,830 4 ,537 2 03 2 89 5 41 2 3 Male 1 05,103 1 1,450 4 6,141 3 5,153 8 ,876 2 ,922 9 8 1 58 2 90 1 5 Female 9 8,417 1 1,863 4 8,427 2 8,063 7 ,954 1 ,615 1 05 1 31 2 51 8 MVITA 1 19,741 8 ,611 4 4,973 3 5,884 1 5,909 1 1,025 1 24 2 ,619 5 29 6 7 Male 5 9,338 4 ,225 2 1,026 1 9,114 7 ,318 6 ,095 5 4 1 ,148 3 18 4 0 Female 6 0,402 4 ,386 2 3,946 1 6,770 8 ,591 4 ,930 7 0 1 ,471 2 11 2 7 NYALI 1 81,762 1 6,076 7 4,666 5 5,048 2 2,213 1 2,651 1 04 3 29 6 23 5 2 Male 9 2,805 8 ,017 3 7,019 2 9,459 1 0,592 7 ,144 4 6 1 40 3 64 2 4 Female 8 8,952 8 ,059 3 7,645 2 5,588 1 1,621 5 ,505 5 8 1 89 2 59 2 8 KWALE 5 85,770 8 8,462 3 65,278 9 7,301 2 4,132 7 ,542 5 95 8 44 1 ,447 1 69 Male 3 04,149 4 5,273 1 85,712 5 4,022 1 2,602 4 ,841 3 00 4 62 8 48 8 9 Female 2 81,610 4 3,186 1 79,560 4 3,278 1 1,529 2 ,701 2 95 3 82 5 99 8 0 KINANGO 5 8,568 1 0,719 3 9,051 6 ,434 1 ,684 4 50 8 2 1 0 1 21 1 7 Male 3 0,470 5 ,516 1 9,976 3 ,555 9 83 3 23 4 1 5 6 4 7 Female 2 8,097 5 ,203 1 9,074 2 ,879 7 01 1 27 4 1 5 5 7 1 0 LUNGA LUNGA 1 22,221 2 0,646 8 1,821 1 5,349 2 ,828 7 76 1 84 2 41 3 66 1 0 Male 6 3,937 1 0,565 4 1,844 8 ,851 1 ,659 5 62 1 05 1 35 2 10 6 Female 5 8,283 1 0,081 3 9,976 6 ,498 1 ,169 2 14 7 9 1 06 1 56 4 MATUGA 1 39,714 1 9,569 8 5,636 2 5,632 6 ,096 2 ,138 1 55 1 79 2 68 4 1 Male 7 2,298 1 0,113 4 3,267 1 4,084 3 ,113 1 ,361 6 5 1 09 1 64 2 2 Female 6 7,414 9 ,456 4 2,368 1 1,547 2 ,983 7 77 9 0 7 0 1 04 1 9 75

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 89

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) MSAMBWENI 1 36,026 1 5,454 7 3,634 3 3,027 9 ,723 3 ,238 8 1 3 72 4 67 3 0 Male 7 0,023 7 ,761 3 7,063 1 8,023 4 ,716 1 ,924 3 9 1 96 2 82 1 9 Female 6 6,000 7 ,692 3 6,570 1 5,004 5 ,006 1 ,314 4 2 1 76 1 85 1 1 SAMBURU 1 29,241 2 2,074 8 5,136 1 6,859 3 ,801 9 40 9 3 4 2 2 25 7 1 Male 6 7,421 1 1,318 4 3,562 9 ,509 2 ,131 6 71 5 0 1 7 1 28 3 5 Female 6 1,816 1 0,754 4 1,572 7 ,350 1 ,670 2 69 4 3 2 5 9 7 3 6 KILIFI 1 ,063,750 1 45,106 6 38,932 2 04,960 5 0,818 1 8,855 1 ,155 1 ,052 2 ,635 2 37 Male 5 49,374 7 3,395 3 21,603 1 14,155 2 5,936 1 1,546 5 69 5 44 1 ,516 1 10 Female 5 14,362 7 1,709 3 17,320 9 0,804 2 4,881 7 ,309 5 86 5 08 1 ,119 1 26 CHONYI 4 4,897 6 ,743 2 8,451 7 ,881 1 ,321 3 64 5 7 1 7 9 - Male 2 3,263 3 ,431 1 4,228 4 ,487 7 75 2 57 3 6 1 4 8 - Female 2 1,633 3 ,312 1 4,222 3 ,394 5 46 1 07 2 1 - 3 1 - GANZE 9 5,274 1 5,986 6 3,246 1 2,558 2 ,408 6 99 1 87 3 1 39 4 8 Male 4 8,889 8 ,092 3 1,970 6 ,803 1 ,334 5 04 9 3 1 7 2 2 0 Female 4 6,383 7 ,894 3 1,274 5 ,755 1 ,074 1 95 9 4 2 6 7 2 8 KALOLENI 1 34,645 1 9,476 8 3,746 2 2,986 6 ,024 1 ,760 1 74 4 9 3 73 5 7 Male 6 9,960 9 ,960 4 2,603 1 2,736 3 ,200 1 ,112 8 0 2 5 2 20 2 4 Female 6 4,681 9 ,514 4 1,142 1 0,250 2 ,824 6 48 9 4 2 4 1 53 3 2 KAUMA 1 6,076 2 ,275 1 0,574 2 ,733 3 24 9 0 2 2 4 5 4 - Male 8 ,528 1 ,146 5 ,406 1 ,666 1 89 6 8 1 3 3 3 7 - Female 7 ,548 1 ,129 5 ,168 1 ,067 1 35 2 2 9 1 1 7 - KILIFI NORTH 1 38,095 1 7,710 7 7,950 2 7,739 9 ,138 5 ,000 7 5 1 21 3 53 9 Male 7 0,668 9 ,021 3 8,664 1 5,234 4 ,513 2 ,933 2 9 6 6 2 04 4 Female 6 7,425 8 ,689 3 9,285 1 2,504 4 ,625 2 ,067 4 6 5 5 1 49 5 KILIFI SOUTH 1 58,925 1 9,837 8 5,413 3 8,606 1 0,419 3 ,969 1 26 5 3 4 90 1 2 Male 8 1,501 1 0,097 4 2,476 2 1,098 5 ,161 2 ,310 5 6 3 1 2 65 7 Female 7 7,423 9 ,740 4 2,937 1 7,508 5 ,257 1 ,659 7 0 2 2 2 25 5 MAGARINI 1 34,107 1 9,900 8 9,467 1 9,947 3 ,316 8 43 2 24 2 10 1 80 2 0 Male 7 0,300 9 ,963 4 5,673 1 1,796 1 ,900 6 11 1 22 1 14 1 08 1 3 Female 6 3,807 9 ,937 4 3,794 8 ,151 1 ,416 2 32 1 02 9 6 7 2 7 MALINDI 2 52,086 3 2,954 1 45,107 5 4,061 1 3,312 5 ,050 1 97 5 89 7 32 8 4 Male 1 29,812 1 6,457 7 3,048 3 0,044 6 ,375 3 ,055 9 2 2 86 4 16 3 9 Female 1 22,270 1 6,497 7 2,055 2 4,017 6 ,937 1 ,995 1 05 3 03 3 16 4 5 RABAI 8 9,645 1 0,225 5 4,978 1 8,449 4 ,556 1 ,080 9 3 2 2 2 35 7 Male 4 6,453 5 ,228 2 7,535 1 0,291 2 ,489 6 96 4 8 1 7 1 46 3 Female 4 3,192 4 ,997 2 7,443 8 ,158 2 ,067 3 84 4 5 5 8 9 4 TANA RIVER 1 58,000 2 7,966 9 0,660 2 9,624 5 ,869 1 ,716 2 39 1 ,478 3 22 1 26 Male 8 4,380 1 4,636 4 5,426 1 8,285 3 ,599 1 ,238 1 32 8 03 2 04 5 7 Female 7 3,620 1 3,330 4 5,234 1 1,339 2 ,270 4 78 1 07 6 75 1 18 6 9 76

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 90

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) TANA DELTA 6 0,630 1 1,454 3 4,778 1 1,085 2 ,068 4 98 6 8 5 54 7 9 4 6 Male 3 2,005 5 ,923 1 7,283 6 ,748 1 ,293 3 66 3 9 2 95 4 2 1 6 Female 2 8,625 5 ,531 1 7,495 4 ,337 7 75 1 32 2 9 2 59 3 7 3 0 TANA NORTH 4 6,803 7 ,603 2 6,573 9 ,640 1 ,689 5 00 1 03 5 71 9 5 2 9 Male 2 6,331 4 ,088 1 4,199 6 ,167 1 ,055 3 67 5 7 3 11 7 0 1 7 Female 2 0,472 3 ,515 1 2,374 3 ,473 6 34 1 33 4 6 2 60 2 5 1 2 TANA RIVER 5 0,567 8 ,909 2 9,309 8 ,899 2 ,112 7 18 6 8 3 53 1 48 5 1 Male 2 6,044 4 ,625 1 3,944 5 ,370 1 ,251 5 05 3 6 1 97 9 2 2 4 Female 2 4,523 4 ,284 1 5,365 3 ,529 8 61 2 13 3 2 1 56 5 6 2 7 LAMU 1 03,880 1 1,533 6 0,689 2 3,070 4 ,842 1 ,908 1 13 1 ,475 2 14 3 6 Male 5 6,751 5 ,910 3 1,109 1 4,577 2 ,904 1 ,302 5 5 7 45 1 30 1 9 Female 4 7,126 5 ,623 2 9,577 8 ,493 1 ,938 6 06 5 8 7 30 8 4 1 7 LAMU EAST 1 5,810 1 ,859 9 ,769 2 ,944 5 18 1 29 2 7 5 38 2 6 - Male 8 ,629 9 47 4 ,963 1 ,973 3 48 1 01 1 3 2 68 1 6 - Female 7 ,181 9 12 4 ,806 9 71 1 70 2 8 1 4 2 70 1 0 - LAMU WEST 8 8,070 9 ,674 5 0,920 2 0,126 4 ,324 1 ,779 8 6 9 37 1 88 3 6 Male 4 8,122 4 ,963 2 6,146 1 2,604 2 ,556 1 ,201 4 2 4 77 1 14 1 9 Female 3 9,945 4 ,711 2 4,771 7 ,522 1 ,768 5 78 4 4 4 60 7 4 1 7 TAITA/TAVETA 2 83,179 2 2,741 1 57,461 7 3,166 2 2,160 6 ,538 3 89 4 7 6 07 7 0 Male 1 46,247 1 1,494 7 9,811 3 8,607 1 1,762 4 ,064 1 06 2 3 3 45 3 5 Female 1 36,927 1 1,246 7 7,648 3 4,557 1 0,398 2 ,474 2 83 2 4 2 62 3 5 MWATATE 6 9,170 5 ,465 3 9,503 1 7,643 4 ,982 1 ,348 9 8 6 1 16 9 Male 3 5,947 2 ,751 2 0,083 9 ,462 2 ,719 8 20 3 4 4 6 9 5 Female 3 3,222 2 ,713 1 9,420 8 ,181 2 ,263 5 28 6 4 2 4 7 4 TAITA 4 8,089 3 ,529 2 5,788 1 3,605 3 ,924 1 ,023 9 8 4 1 16 2 Male 2 4,894 1 ,766 1 3,153 7 ,128 2 ,127 6 38 2 3 2 5 7 - Female 2 3,195 1 ,763 1 2,635 6 ,477 1 ,797 3 85 7 5 2 5 9 2 TAVETA 7 3,195 6 ,476 4 4,637 1 6,469 4 ,028 1 ,384 5 1 1 9 1 09 2 2 Male 3 8,171 3 ,280 2 2,978 8 ,818 2 ,111 8 90 1 8 8 5 9 9 Female 3 5,024 3 ,196 2 1,659 7 ,651 1 ,917 4 94 3 3 1 1 5 0 1 3 VOI 9 2,725 7 ,271 4 7,533 2 5,449 9 ,226 2 ,783 1 42 1 8 2 66 3 7 Male 4 7,235 3 ,697 2 3,597 1 3,199 4 ,805 1 ,716 3 1 9 1 60 2 1 Female 4 5,486 3 ,574 2 3,934 1 2,248 4 ,421 1 ,067 1 11 9 1 06 1 6 GARISSA 1 65,797 1 4,038 8 0,657 4 1,670 7 ,414 4 ,247 7 16 1 5,615 1 ,283 1 57 Male 9 8,291 7 ,262 4 5,637 2 7,597 4 ,780 3 ,179 4 23 8 ,556 7 63 9 4 Female 6 7,501 6 ,776 3 5,018 1 4,071 2 ,634 1 ,067 2 93 7 ,059 5 20 6 3 77

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 91

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) BALAMBALA 3 ,535 3 19 1 ,679 1 ,394 7 6 3 2 2 8 6 1 - Male 2 ,391 1 76 1 ,019 1 ,095 5 4 2 1 2 1 4 1 - Female 1 ,144 1 43 6 60 2 99 2 2 1 1 7 2 - - DADAAB 2 5,675 1 ,536 1 3,711 6 ,429 8 98 4 12 1 47 2 ,273 2 10 5 9 Male 1 5,538 7 93 7 ,793 4 ,450 6 71 3 21 8 6 1 ,256 1 26 4 2 Female 1 0,137 7 43 5 ,918 1 ,979 2 27 9 1 6 1 1 ,017 8 4 1 7 FAFI 1 8,945 1 ,380 9 ,799 5 ,000 4 13 1 25 1 00 2 ,002 1 03 2 3 Male 1 1,187 7 34 5 ,431 3 ,405 3 01 1 03 6 1 1 ,071 6 7 1 4 Female 7 ,756 6 46 4 ,367 1 ,594 1 12 2 2 3 9 9 31 3 6 9 GARISSA 5 6,947 4 ,033 2 5,456 1 5,688 4 ,116 2 ,795 9 8 4 ,333 3 78 5 0 Male 3 2,463 2 ,062 1 3,813 9 ,657 2 ,390 2 ,025 5 4 2 ,224 2 15 2 3 Female 2 4,481 1 ,971 1 1,642 6 ,030 1 ,726 7 69 4 4 2 ,109 1 63 2 7 HULUGHO 2 2,386 2 ,504 1 1,240 4 ,217 3 73 1 90 1 16 3 ,611 1 27 8 Male 1 3,803 1 ,346 6 ,922 2 ,897 2 76 1 58 6 4 2 ,050 8 5 5 Female 8 ,583 1 ,158 4 ,318 1 ,320 9 7 3 2 5 2 1 ,561 4 2 3 IJARA 3 3,072 3 ,558 1 5,779 7 ,894 1 ,407 6 14 1 89 3 ,186 4 28 1 7 Male 2 0,104 1 ,825 9 ,159 5 ,419 9 94 4 89 1 16 1 ,846 2 46 1 0 Female 1 2,968 1 ,733 6 ,620 2 ,475 4 13 1 25 7 3 1 ,340 1 82 7 LAGDERA 5 ,237 7 08 2 ,993 1 ,048 1 31 7 9 3 8 2 04 3 6 - Male 2 ,805 3 26 1 ,500 6 74 9 4 6 2 2 1 1 05 2 3 - Female 2 ,432 3 82 1 ,493 3 74 3 7 1 7 1 7 9 9 1 3 - WAJIR 1 51,956 1 5,622 8 3,393 3 4,632 5 ,871 2 ,739 5 04 8 ,520 6 10 6 5 Male 8 8,325 8 ,026 4 6,217 2 2,208 4 ,053 2 ,158 2 96 4 ,913 4 13 4 1 Female 6 3,627 7 ,595 3 7,175 1 2,423 1 ,818 5 80 2 08 3 ,607 1 97 2 4 BUNA 6 ,738 7 83 3 ,447 1 ,654 2 14 8 2 3 3 5 04 2 0 1 Male 3 ,843 4 17 1 ,884 1 ,045 1 41 6 8 1 8 2 61 9 - Female 2 ,895 3 66 1 ,563 6 09 7 3 1 4 1 5 2 43 1 1 1 ELDAS 1 5,538 1 ,933 9 ,164 2 ,974 4 07 1 40 6 9 7 74 7 7 - Male 8 ,477 9 39 4 ,748 1 ,918 2 72 1 06 4 1 4 03 5 0 - Female 7 ,061 9 94 4 ,416 1 ,056 1 35 3 4 2 8 3 71 2 7 - HABASWEIN 3 9,532 3 ,238 1 9,736 9 ,085 1 ,442 5 93 1 70 5 ,082 1 62 2 4 Male 2 3,862 1 ,722 1 1,504 5 ,861 1 ,021 4 85 9 7 3 ,055 1 05 1 2 Female 1 5,670 1 ,516 8 ,232 3 ,224 4 21 1 08 7 3 2 ,027 5 7 1 2 TARBAJ 7 ,220 7 76 4 ,420 1 ,642 1 79 7 3 1 9 1 04 7 - Male 3 ,749 3 53 2 ,160 9 74 1 40 5 3 1 0 5 5 4 - Female 3 ,470 4 23 2 ,259 6 68 3 9 2 0 9 4 9 3 - WAJIR EAST 3 3,348 2 ,721 1 7,313 9 ,126 2 ,063 1 ,196 5 7 6 43 2 02 2 7 Male 1 9,381 1 ,411 9 ,420 5 ,677 1 ,380 9 44 3 5 3 44 1 48 2 2 Female 1 3,966 1 ,310 7 ,893 3 ,449 6 83 2 51 2 2 2 99 5 4 5 78

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 92

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) WAJIR NORTH 1 0,871 1 ,612 6 ,418 1 ,975 3 94 2 26 2 8 2 02 1 6 - Male 6 ,104 7 92 3 ,423 1 ,290 2 76 1 90 2 0 1 04 9 - Female 4 ,767 8 20 2 ,995 6 85 1 18 3 6 8 9 8 7 - WAJIR SOUTH 1 7,774 2 ,395 1 0,850 3 ,559 5 10 1 44 7 4 1 76 5 3 1 3 Male 1 0,950 1 ,316 6 ,509 2 ,452 3 65 1 17 4 6 1 03 3 5 7 Female 6 ,823 1 ,078 4 ,341 1 ,107 1 45 2 7 2 8 7 3 1 8 6 WAJIR WEST 2 0,935 2 ,164 1 2,045 4 ,617 6 62 2 85 5 4 1 ,035 7 3 - Male 1 1,959 1 ,076 6 ,569 2 ,991 4 58 1 95 2 9 5 88 5 3 - Female 8 ,975 1 ,088 5 ,476 1 ,625 2 04 9 0 2 5 4 47 2 0 - MANDERA 1 97,490 2 0,796 1 12,762 4 3,633 5 ,969 2 ,829 5 94 9 ,802 9 66 1 39 Male 1 09,059 9 ,904 5 9,225 2 7,672 4 ,163 2 ,245 3 20 4 ,965 4 91 7 4 Female 8 8,428 1 0,892 5 3,535 1 5,960 1 ,806 5 84 2 74 4 ,837 4 75 6 5 MANDERA WEST 2 4,818 4 ,188 1 4,826 4 ,250 4 92 2 59 6 2 6 75 6 2 4 Male 1 3,284 1 ,943 7 ,694 2 ,664 3 60 2 12 3 2 3 46 3 1 2 Female 1 1,534 2 ,245 7 ,132 1 ,586 1 32 4 7 3 0 3 29 3 1 2 BANISA 2 2,704 3 ,391 1 3,175 3 ,977 6 46 1 56 1 48 1 ,004 2 06 1 Male 1 3,086 1 ,713 7 ,335 2 ,689 4 65 1 27 7 1 5 86 1 00 - Female 9 ,617 1 ,678 5 ,839 1 ,288 1 81 2 9 7 7 4 18 1 06 1 KOTULO 1 8,807 1 ,923 1 0,810 4 ,010 5 89 2 48 3 7 1 ,114 7 6 - Male 1 0,129 8 75 5 ,494 2 ,531 4 40 1 92 2 2 5 29 4 6 - Female 8 ,677 1 ,048 5 ,315 1 ,479 1 49 5 6 1 5 5 85 3 0 - LAFEY 1 3,505 1 ,251 6 ,970 3 ,403 2 83 1 39 1 04 1 ,266 8 8 1 Male 6 ,945 5 77 3 ,348 1 ,979 1 96 9 6 6 4 6 45 3 9 1 Female 6 ,560 6 74 3 ,622 1 ,424 8 7 4 3 4 0 6 21 4 9 - MANDERA CENTRAL 4 0,307 3 ,836 2 2,950 8 ,477 1 ,215 3 97 8 2 2 ,937 2 80 1 33 Male 2 0,137 1 ,596 1 0,812 5 ,004 8 14 3 20 4 2 1 ,348 1 30 7 1 Female 2 0,169 2 ,240 1 2,138 3 ,472 4 01 7 7 4 0 1 ,589 1 50 6 2 MANDERA EAST 4 8,557 3 ,253 2 6,137 1 3,353 2 ,029 1 ,348 8 7 2 ,181 1 69 - Male 2 8,744 1 ,690 1 4,445 8 ,874 1 ,360 1 ,057 5 5 1 ,162 1 01 - Female 1 9,813 1 ,563 1 1,692 4 ,479 6 69 2 91 3 2 1 ,019 6 8 - MANDERA NORTH 2 8,792 2 ,954 1 7,894 6 ,163 7 15 2 82 7 4 6 25 8 5 - Male 1 6,734 1 ,510 1 0,097 3 ,931 5 28 2 41 3 4 3 49 4 4 - Female 1 2,058 1 ,444 7 ,797 2 ,232 1 87 4 1 4 0 2 76 4 1 - MARSABIT 1 46,569 2 0,707 8 2,364 3 0,428 6 ,877 4 ,611 2 10 7 78 3 78 2 16 Male 7 8,922 1 0,355 4 1,996 1 8,352 4 ,041 3 ,310 1 14 4 06 2 38 1 10 Female 6 7,643 1 0,352 4 0,365 1 2,075 2 ,836 1 ,301 9 6 3 72 1 40 1 06 LOIYANGALANI 8 ,271 1 ,387 4 ,779 1 ,531 3 62 1 74 1 7 - 2 1 - Male 4 ,155 6 30 2 ,161 9 57 2 43 1 44 8 - 1 2 - Female 4 ,115 7 57 2 ,617 5 74 1 19 3 0 9 - 9 - 79

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 93

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) MARSABIT CENTRAL 4 3,011 5 ,032 2 2,939 1 0,002 2 ,661 2 ,147 3 1 2 3 1 76 - Male 2 2,802 2 ,544 1 1,623 5 ,654 1 ,380 1 ,467 1 8 8 1 08 - Female 2 0,207 2 ,488 1 1,315 4 ,347 1 ,281 6 80 1 3 1 5 6 8 - MARSABIT NORTH 1 2,276 1 ,854 7 ,143 2 ,331 5 64 3 14 2 2 1 9 2 9 - Male 6 ,375 9 12 3 ,455 1 ,374 3 36 2 48 1 2 1 4 2 4 - Female 5 ,901 9 42 3 ,688 9 57 2 28 6 6 1 0 5 5 - MARSABIT SOUTH 1 4,999 2 ,433 8 ,158 3 ,114 7 72 4 24 4 8 - 3 9 1 1 Male 7 ,702 1 ,109 3 ,758 1 ,941 5 17 3 36 1 2 - 2 3 6 Female 7 ,297 1 ,324 4 ,400 1 ,173 2 55 8 8 3 6 - 1 6 5 MOYALE 4 3,034 6 ,037 2 5,085 8 ,561 1 ,461 1 ,053 3 8 7 27 6 1 1 1 Male 2 4,024 3 ,142 1 3,503 5 ,339 8 66 7 30 2 2 3 77 3 9 6 Female 1 9,010 2 ,895 1 1,582 3 ,222 5 95 3 23 1 6 3 50 2 2 5 NORTH HORR 8 ,597 1 ,298 4 ,482 1 ,843 4 93 2 46 2 1 2 2 4 1 88 Male 4 ,886 6 57 2 ,412 1 ,178 3 28 1 83 1 7 1 1 5 9 5 Female 3 ,710 6 41 2 ,069 6 65 1 65 6 3 4 1 9 9 3 SOLOLO 1 6,381 2 ,666 9 ,778 3 ,046 5 64 2 53 3 3 7 2 8 6 Male 8 ,978 1 ,361 5 ,084 1 ,909 3 71 2 02 2 5 6 1 7 3 Female 7 ,403 1 ,305 4 ,694 1 ,137 1 93 5 1 8 1 1 1 3 ISIOLO 1 29,220 1 7,498 6 7,106 3 1,730 7 ,514 3 ,955 1 26 1 ,053 2 01 3 7 Male 6 8,403 8 ,893 3 3,651 1 8,416 3 ,917 2 ,667 6 0 6 50 1 28 2 1 Female 6 0,816 8 ,604 3 3,455 1 3,314 3 ,597 1 ,288 6 6 4 03 7 3 1 6 GARBATULLA 3 4,291 4 ,871 2 0,252 7 ,063 8 51 4 14 4 4 7 39 4 5 1 2 Male 1 8,837 2 ,488 1 0,556 4 ,453 5 48 3 12 2 5 4 18 2 9 8 Female 1 5,454 2 ,383 9 ,696 2 ,610 3 03 1 02 1 9 3 21 1 6 4 ISIOLO 7 7,157 9 ,478 3 6,788 2 1,141 6 ,053 3 ,303 7 6 1 72 1 21 2 5 Male 4 0,237 4 ,826 1 8,215 1 1,824 2 ,980 2 ,158 3 2 1 14 7 5 1 3 Female 3 6,920 4 ,652 1 8,573 9 ,317 3 ,073 1 ,145 4 4 5 8 4 6 1 2 MERTI 1 7,772 3 ,149 1 0,066 3 ,526 6 10 2 38 6 1 42 3 5 - Male 9 ,329 1 ,579 4 ,880 2 ,139 3 89 1 97 3 1 18 2 4 - Female 8 ,442 1 ,569 5 ,186 1 ,387 2 21 4 1 3 2 4 1 1 - MERU 1 ,216,440 1 17,222 7 01,141 2 83,746 7 5,179 3 3,250 1 ,672 4 7 3 ,801 3 82 Male 6 10,726 6 0,337 3 55,034 1 37,439 3 5,548 1 9,269 6 95 2 5 2 ,176 2 03 Female 6 05,685 5 6,884 3 46,087 1 46,301 3 9,631 1 3,980 9 76 2 2 1 ,625 1 79 BUURI EAST 6 4,905 4 ,330 3 5,957 1 7,730 4 ,863 1 ,694 9 4 3 2 02 3 2 Male 3 2,790 2 ,273 1 8,513 8 ,544 2 ,342 9 55 2 0 1 1 24 1 8 Female 3 2,115 2 ,057 1 7,444 9 ,186 2 ,521 7 39 7 4 2 7 8 1 4 BUURI WEST 6 8,643 5 ,100 3 6,899 2 0,945 3 ,942 1 ,533 8 9 3 1 24 8 Male 3 4,638 2 ,594 1 8,872 1 0,286 1 ,908 8 71 2 5 3 7 6 3 Female 3 4,003 2 ,506 1 8,025 1 0,659 2 ,034 6 62 6 4 - 4 8 5 80

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 94

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) IGEMBE CENTRAL 1 59,847 2 1,007 1 01,814 2 8,491 5 ,445 2 ,295 1 84 3 5 66 4 2 Male 8 0,629 1 0,746 5 1,806 1 3,829 2 ,461 1 ,360 9 7 3 3 05 2 2 Female 7 9,215 1 0,261 5 0,006 1 4,662 2 ,984 9 34 8 7 - 2 61 2 0 IGEMBE NORTH 1 13,067 1 4,096 7 1,317 2 0,882 4 ,383 1 ,725 1 74 1 4 38 5 1 Male 5 6,380 7 ,304 3 5,718 9 ,972 1 ,948 1 ,085 9 6 - 2 29 2 8 Female 5 6,684 6 ,792 3 5,597 1 0,909 2 ,435 6 40 7 8 1 2 09 2 3 IGEMBE SOUTH 1 20,462 1 4,868 7 3,524 2 3,080 5 ,798 2 ,504 1 66 1 1 4 55 5 6 Male 5 9,789 7 ,741 3 6,688 1 0,857 2 ,612 1 ,504 8 6 7 2 64 3 0 Female 6 0,668 7 ,127 3 6,831 1 2,223 3 ,186 1 ,000 8 0 4 1 91 2 6 IMENTI NORTH 1 51,474 1 0,697 7 0,066 4 4,188 1 7,213 8 ,657 1 94 4 4 01 5 4 Male 7 5,696 5 ,456 3 5,851 2 1,352 7 ,878 4 ,824 6 8 3 2 30 3 4 Female 7 5,774 5 ,240 3 4,214 2 2,834 9 ,335 3 ,833 1 26 1 1 71 2 0 IMENTI SOUTH 1 76,990 1 3,879 9 0,810 5 1,199 1 4,146 6 ,261 2 55 1 3 4 10 1 7 Male 8 9,508 7 ,237 4 6,695 2 5,054 6 ,767 3 ,423 8 5 4 2 35 8 Female 8 7,477 6 ,642 4 4,111 2 6,145 7 ,379 2 ,838 1 69 9 1 75 9 MERU CENTRAL 1 13,818 8 ,719 6 3,531 2 9,525 8 ,443 3 ,009 1 96 6 3 39 5 0 Male 5 8,082 4 ,474 3 3,098 1 4,338 4 ,192 1 ,682 6 8 2 2 04 2 4 Female 5 5,733 4 ,245 3 0,432 1 5,185 4 ,251 1 ,327 1 28 4 1 35 2 6 TIGANIA CENTRAL 8 1,247 8 ,747 5 3,256 1 4,245 3 ,079 1 ,510 1 12 1 2 94 3 Male 4 0,888 4 ,431 2 6,803 6 ,944 1 ,531 9 55 6 2 1 1 59 2 Female 4 0,359 4 ,316 2 6,453 7 ,301 1 ,548 5 55 5 0 - 1 35 1 TIGANIA EAST 5 2,912 5 ,440 3 3,082 1 0,402 2 ,422 1 ,235 5 1 - 2 25 5 5 Male 2 6,146 2 ,754 1 6,106 5 ,139 1 ,176 7 88 2 3 - 1 31 2 9 Female 2 6,764 2 ,686 1 6,974 5 ,263 1 ,246 4 47 2 8 - 9 4 2 6 TIGANIA WEST 1 12,439 1 0,323 7 0,567 2 2,853 5 ,365 2 ,812 1 57 2 3 46 1 4 Male 5 5,657 5 ,317 3 4,616 1 0,952 2 ,669 1 ,814 6 5 1 2 18 5 Female 5 6,780 5 ,006 3 5,950 1 1,900 2 ,696 9 98 9 2 1 1 28 9 MERU NATIONAL PARK 2 79 1 2 5 8 1 35 6 5 9 - - - - Male 2 10 7 3 8 1 11 5 0 4 - - - - Female 6 9 5 2 0 2 4 1 5 5 - - - - MT. KENYA FOREST 3 57 4 2 60 7 1 1 5 6 - - 1 - Male 3 13 3 2 30 6 1 1 4 4 - - 1 - Female 4 4 1 3 0 1 0 1 2 - - - - THARAKA-NITHI 3 24,735 2 8,201 1 77,042 8 2,656 2 3,374 1 1,607 5 81 8 1 ,195 7 1 Male 1 62,637 1 4,486 8 8,849 4 0,581 1 1,030 6 ,740 2 30 3 6 80 3 8 Female 1 62,093 1 3,715 8 8,190 4 2,073 1 2,344 4 ,867 3 51 5 5 15 3 3 IGAMBANG’OMBE 4 3,160 4 ,516 2 6,537 8 ,771 2 ,206 8 31 9 3 - 1 91 1 5 Male 2 1,790 2 ,357 1 3,398 4 ,319 1 ,059 5 08 3 0 - 1 10 9 Female 2 1,369 2 ,159 1 3,138 4 ,452 1 ,147 3 23 6 3 - 8 1 6 81

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 95

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) MAARA 1 00,251 6 ,696 5 2,442 2 9,188 8 ,031 3 ,425 1 35 3 3 18 1 3 Male 5 0,814 3 ,481 2 7,006 1 4,329 3 ,837 1 ,906 5 0 1 1 98 6 Female 4 9,437 3 ,215 2 5,436 1 4,859 4 ,194 1 ,519 8 5 2 1 20 7 MERU SOUTH 7 8,987 5 ,603 3 6,910 2 3,742 7 ,377 4 ,877 1 33 3 3 21 2 1 Male 3 9,388 2 ,801 1 8,788 1 1,379 3 ,407 2 ,768 5 2 1 1 82 1 0 Female 3 9,597 2 ,802 1 8,122 1 2,361 3 ,970 2 ,109 8 1 2 1 39 1 1 THARAKA NORTH 4 2,198 5 ,122 2 5,671 8 ,426 1 ,881 7 76 1 36 - 1 69 1 7 Male 2 1,044 2 ,588 1 2,556 4 ,326 9 24 4 81 6 6 - 9 3 1 0 Female 2 1,153 2 ,534 1 3,114 4 ,100 9 57 2 95 7 0 - 7 6 7 THARAKA SOUTH 5 9,985 6 ,257 3 5,463 1 2,460 3 ,824 1 ,694 8 4 2 1 96 5 Male 2 9,530 3 ,255 1 7,092 6 ,181 1 ,793 1 ,076 3 2 1 9 7 3 Female 3 0,454 3 ,002 1 8,370 6 ,279 2 ,031 6 18 5 2 1 9 9 2 MT. KENYA FOREST 1 54 7 1 9 6 9 5 5 4 - - - - Male 7 1 4 9 4 7 1 0 1 - - - - Female 8 3 3 1 0 2 2 4 5 3 - - - - EMBU 5 17,269 3 9,879 2 71,496 1 46,805 3 9,939 1 7,266 6 85 7 0 1 ,078 5 1 Male 2 62,672 2 0,404 1 40,414 7 2,471 1 8,732 9 ,718 2 34 3 4 6 43 2 2 Female 2 54,578 1 9,472 1 31,075 7 4,326 2 1,207 7 ,547 4 51 3 6 4 35 2 9 EMBU EAST 1 11,127 7 ,907 5 8,164 3 3,482 8 ,205 2 ,977 1 65 9 2 15 3 Male 5 6,420 4 ,137 3 0,039 1 6,499 3 ,882 1 ,676 6 0 4 1 22 1 Female 5 4,705 3 ,769 2 8,124 1 6,983 4 ,323 1 ,301 1 05 5 9 3 2 EMBU NORTH 6 8,261 5 ,407 3 3,246 2 2,054 5 ,381 1 ,966 9 5 1 1 9 7 4 Male 3 4,819 2 ,817 1 7,317 1 0,826 2 ,659 1 ,098 3 7 5 5 9 1 Female 3 3,441 2 ,590 1 5,929 1 1,227 2 ,722 8 68 5 8 6 3 8 3 EMBU WEST 1 09,340 7 ,180 4 6,795 3 3,914 1 3,714 7 ,255 1 31 4 2 3 00 9 Male 5 4,284 3 ,645 2 4,206 1 6,202 5 ,981 3 ,993 5 0 2 0 1 82 5 Female 5 5,047 3 ,535 2 2,586 1 7,707 7 ,733 3 ,261 8 1 2 2 1 18 4 MBEERE SOUTH 1 38,377 1 1,709 7 9,786 3 5,718 7 ,653 2 ,956 2 14 6 3 05 3 0 Male 7 1,777 5 ,979 4 1,714 1 8,231 3 ,868 1 ,715 6 4 4 1 88 1 4 Female 6 6,595 5 ,729 3 8,069 1 7,486 3 ,785 1 ,241 1 50 2 1 17 1 6 MBEERE NORTH 9 0,143 7 ,676 5 3,503 2 1,625 4 ,980 2 ,111 8 0 2 1 61 5 Male 4 5,354 3 ,826 2 7,136 1 0,703 2 ,337 1 ,235 2 3 1 9 2 1 Female 4 4,787 3 ,849 2 6,367 1 0,921 2 ,643 8 76 5 7 1 6 9 4 MT. KENYA FOREST 2 1 - 2 1 2 6 1 - - - - Male 1 8 - 2 1 0 5 1 - - - - Female 3 - - 2 1 - - - - - KITUI 9 08,143 8 6,386 5 54,768 1 88,690 5 2,313 2 0,242 1 ,275 5 3 4 ,266 1 50 Male 4 50,111 4 4,114 2 71,559 9 4,079 2 5,626 1 1,806 5 76 2 9 2 ,261 6 1 Female 4 58,011 4 2,268 2 83,196 9 4,608 2 6,687 8 ,435 6 99 2 4 2 ,005 8 9 82

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 96

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) IKUTHA 6 6,934 7 ,178 4 3,232 1 2,090 3 ,094 8 56 8 4 3 3 94 3 Male 3 3,266 3 ,729 2 1,157 6 ,002 1 ,585 5 40 4 0 2 2 09 2 Female 3 3,668 3 ,449 2 2,075 6 ,088 1 ,509 3 16 4 4 1 1 85 1 KATULANI 3 8,698 2 ,961 2 1,960 1 0,038 2 ,622 9 41 4 5 2 1 29 - Male 1 9,602 1 ,538 1 0,860 5 ,187 1 ,368 5 50 1 5 - 8 4 - Female 1 9,095 1 ,422 1 1,100 4 ,851 1 ,254 3 91 3 0 2 4 5 - KISASI 3 7,580 3 ,612 2 3,696 7 ,854 1 ,600 6 53 4 5 - 1 13 7 Male 1 9,003 1 ,856 1 1,840 3 ,976 8 39 4 05 2 3 - 6 3 1 Female 1 8,577 1 ,756 1 1,856 3 ,878 7 61 2 48 2 2 - 5 0 6 KITUI CENTRAL 8 8,883 7 ,201 4 5,400 2 3,548 8 ,226 4 ,042 8 8 4 3 66 8 Male 4 4,153 3 ,697 2 2,330 1 1,835 3 ,846 2 ,186 4 2 3 2 10 4 Female 4 4,728 3 ,504 2 3,069 1 1,712 4 ,380 1 ,856 4 6 1 1 56 4 KITUI WEST 5 9,783 4 ,907 3 4,392 1 4,104 4 ,375 1 ,706 5 9 1 2 39 - Male 2 9,252 2 ,477 1 6,809 6 ,803 2 ,061 9 67 1 9 - 1 16 - Female 3 0,530 2 ,430 1 7,582 7 ,301 2 ,314 7 39 4 0 1 1 23 - KYUSO 5 8,859 6 ,438 3 8,708 9 ,628 2 ,667 8 98 9 2 1 4 19 8 Male 2 8,937 3 ,243 1 8,806 4 ,822 1 ,253 5 61 3 9 1 2 10 2 Female 2 9,921 3 ,195 1 9,902 4 ,805 1 ,414 3 37 5 3 - 2 09 6 LOWER YATTA 5 1,367 4 ,351 3 1,077 1 1,972 2 ,441 1 ,199 7 3 3 2 45 6 Male 2 6,288 2 ,290 1 5,702 6 ,123 1 ,294 7 11 2 8 2 1 37 1 Female 2 5,079 2 ,061 1 5,375 5 ,849 1 ,147 4 88 4 5 1 1 08 5 MATINYANI 4 0,061 3 ,415 2 2,851 9 ,644 2 ,964 1 ,019 5 1 - 1 17 - Male 2 0,200 1 ,760 1 1,455 4 ,794 1 ,540 5 62 2 5 - 6 4 - Female 1 9,860 1 ,655 1 1,395 4 ,850 1 ,424 4 57 2 6 - 5 3 - MIGWANI 6 5,677 5 ,421 3 7,789 1 5,379 4 ,742 1 ,818 9 4 2 4 08 2 4 Male 3 1,764 2 ,730 1 8,147 7 ,353 2 ,208 1 ,053 2 1 1 2 38 1 3 Female 3 3,910 2 ,691 1 9,640 8 ,026 2 ,534 7 64 7 3 1 1 70 1 1 MUMONI 2 3,414 3 ,092 1 4,532 4 ,256 9 68 4 08 7 6 - 8 0 2 Male 1 1,198 1 ,524 6 ,781 2 ,081 4 86 2 37 4 1 - 4 6 2 Female 1 2,216 1 ,568 7 ,751 2 ,175 4 82 1 71 3 5 - 3 4 - MUTITU 4 1,209 4 ,208 2 8,177 6 ,630 1 ,437 5 12 4 7 1 1 48 4 9 Male 2 0,372 2 ,200 1 3,641 3 ,314 7 85 3 06 2 9 - 7 6 2 1 Female 2 0,835 2 ,008 1 4,534 3 ,316 6 52 2 06 1 8 1 7 2 2 8 MUTITU NORTH 1 7,006 1 ,495 1 1,064 3 ,279 7 83 2 80 3 2 - 6 8 5 Male 8 ,557 7 75 5 ,479 1 ,655 4 18 1 74 1 1 - 4 2 3 Female 8 ,448 7 20 5 ,584 1 ,624 3 65 1 06 2 1 - 2 6 2 MUTOMO 8 7,071 9 ,182 5 6,375 1 4,927 4 ,735 1 ,285 1 53 2 3 3 85 6 Male 4 3,400 4 ,697 2 7,845 7 ,391 2 ,383 7 98 7 1 1 5 1 96 4 Female 4 3,668 4 ,484 2 8,528 7 ,536 2 ,352 4 87 8 2 8 1 89 2 MWINGI CENTRAL 8 6,387 8 ,287 5 1,768 1 8,571 4 ,938 2 ,298 1 25 1 1 3 74 1 5 Male 4 2,345 4 ,157 2 5,320 9 ,062 2 ,244 1 ,300 6 3 5 1 90 4 Female 4 4,042 4 ,130 2 6,448 9 ,509 2 ,694 9 98 6 2 6 1 84 1 1 83

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 97

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) MWINGI EAST 6 4,565 6 ,680 4 2,938 1 0,938 2 ,588 8 55 9 6 - 4 53 1 7 Male 3 1,539 3 ,436 2 0,562 5 ,492 1 ,246 5 43 4 5 - 2 11 4 Female 3 3,022 3 ,243 2 2,374 5 ,445 1 ,342 3 12 5 1 - 2 42 1 3 NZAMBANI 3 8,625 3 ,490 2 3,131 8 ,678 2 ,249 9 18 4 7 2 1 10 - Male 1 9,454 1 ,764 1 1,467 4 ,511 1 ,093 5 38 2 6 - 5 5 - Female 1 9,170 1 ,725 1 1,664 4 ,167 1 ,156 3 80 2 1 2 5 5 - THAGICU 1 1,778 1 ,261 7 ,494 2 ,196 5 93 1 62 1 0 - 6 2 - Male 5 ,745 6 25 3 ,618 1 ,065 2 86 1 08 3 - 4 0 - Female 6 ,032 6 36 3 ,875 1 ,131 3 07 5 4 7 - 2 2 - TSEIKURU 3 0,246 3 ,207 2 0,184 4 ,958 1 ,291 3 92 5 8 - 1 56 - Male 1 5,036 1 ,616 9 ,740 2 ,613 6 91 2 67 3 5 - 7 4 - Female 1 5,210 1 ,591 1 0,444 2 ,345 6 00 1 25 2 3 - 8 2 - MACHAKOS 1 ,228,605 9 1,158 6 05,286 3 61,368 1 09,524 5 5,124 1 ,773 6 2 4 ,111 1 99 Male 6 21,093 4 6,744 3 02,447 1 83,086 5 4,430 3 1,211 6 60 3 1 2 ,381 1 03 Female 6 07,488 4 4,411 3 02,828 1 78,274 5 5,092 2 3,913 1 ,113 3 1 1 ,730 9 6 ATHI RIVER 2 82,339 2 0,829 9 5,474 9 6,691 3 9,028 2 8,854 1 73 9 1 ,154 1 27 Male 1 43,817 1 0,616 4 7,853 4 9,922 1 8,999 1 5,607 7 8 4 6 73 6 5 Female 1 38,521 1 0,212 4 7,621 4 6,769 2 0,029 1 3,247 9 5 5 4 81 6 2 KALAMA 4 5,900 3 ,813 2 4,465 1 3,378 2 ,881 9 72 2 09 2 1 79 1 Male 2 2,978 1 ,953 1 2,067 6 ,709 1 ,458 6 13 7 8 - 9 9 1 Female 2 2,917 1 ,860 1 2,396 6 ,666 1 ,423 3 59 1 31 2 8 0 - KANGUNDO 8 7,052 5 ,832 4 4,595 2 8,309 6 ,100 1 ,852 1 74 3 1 85 2 Male 4 3,862 2 ,931 2 2,174 1 4,262 3 ,223 1 ,123 4 0 2 1 06 1 Female 4 3,189 2 ,901 2 2,421 1 4,046 2 ,877 7 29 1 34 1 7 9 1 KATHIANI 9 7,951 6 ,928 5 6,862 2 5,094 6 ,788 1 ,824 1 60 1 4 2 68 1 3 Male 4 8,853 3 ,532 2 7,829 1 2,599 3 ,512 1 ,163 4 2 7 1 63 6 Female 4 9,094 3 ,395 2 9,031 1 2,494 3 ,276 6 61 1 18 7 1 05 7 MACHAKOS 1 49,046 1 0,245 6 5,980 4 4,609 1 8,823 8 ,621 1 72 4 5 77 1 5 Male 7 5,155 5 ,216 3 3,357 2 2,422 8 ,912 4 ,850 5 6 2 3 31 9 Female 7 3,885 5 ,028 3 2,622 2 2,185 9 ,909 3 ,771 1 16 2 2 46 6 MASINGA 1 23,806 1 0,247 7 6,126 2 7,845 6 ,490 2 ,429 1 75 9 4 69 1 6 Male 6 2,390 5 ,367 3 8,017 1 3,845 3 ,277 1 ,510 7 6 6 2 83 9 Female 6 1,414 4 ,880 3 8,107 1 4,000 3 ,213 9 19 9 9 3 1 86 7 MATUNGULU 1 41,017 1 0,550 7 2,865 4 2,643 1 0,665 3 ,773 1 71 5 3 37 8 Male 7 1,601 5 ,348 3 6,816 2 1,647 5 ,383 2 ,149 5 9 3 1 94 2 Female 6 9,413 5 ,202 3 6,047 2 0,995 5 ,282 1 ,624 1 12 2 1 43 6 MWALA 1 57,089 1 1,830 8 7,664 4 4,077 9 ,373 3 ,439 2 99 1 4 3 82 1 1 Male 7 9,772 6 ,186 4 3,918 2 2,419 4 ,773 2 ,133 1 25 6 2 04 8 Female 7 7,316 5 ,644 4 3,745 2 1,658 4 ,600 1 ,306 1 74 8 1 78 3 84

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 98

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) YATTA 1 44,405 1 0,884 8 1,255 3 8,722 9 ,376 3 ,360 2 40 2 5 60 6 Male 7 2,665 5 ,595 4 0,416 1 9,261 4 ,893 2 ,063 1 06 1 3 28 2 Female 7 1,739 5 ,289 4 0,838 1 9,461 4 ,483 1 ,297 1 34 1 2 32 4 MAKUENI 8 37,302 6 2,293 4 70,465 2 24,876 5 3,683 2 1,686 1 ,266 5 6 2 ,833 1 44 Male 4 20,302 3 1,949 2 33,798 1 12,118 2 6,970 1 3,324 4 54 3 5 1 ,592 6 2 Female 4 16,985 3 0,343 2 36,658 1 12,756 2 6,711 8 ,361 8 12 2 1 1 ,241 8 2 KATHONZWENI 6 7,132 4 ,855 3 8,136 1 7,709 4 ,399 1 ,622 9 3 - 3 14 4 Male 3 3,684 2 ,461 1 9,002 8 ,785 2 ,222 9 94 3 3 - 1 85 2 Female 3 3,445 2 ,394 1 9,132 8 ,924 2 ,176 6 28 6 0 - 1 29 2 KIBWEZI 1 63,384 1 2,768 9 6,903 4 1,902 7 ,650 3 ,460 1 79 1 8 4 84 2 0 Male 8 2,305 6 ,472 4 8,439 2 0,842 3 ,949 2 ,234 7 8 1 7 2 66 8 Female 8 1,075 6 ,296 4 8,462 2 1,059 3 ,701 1 ,225 1 01 1 2 18 1 2 KILUNGU 5 2,526 3 ,936 3 1,073 1 3,217 2 ,845 1 ,198 9 9 6 1 39 1 3 Male 2 5,443 2 ,016 1 4,780 6 ,395 1 ,421 7 21 3 2 2 7 0 6 Female 2 7,082 1 ,920 1 6,292 6 ,822 1 ,424 4 77 6 7 4 6 9 7 MAKINDU 7 0,628 5 ,792 4 0,109 1 8,070 4 ,466 1 ,847 1 01 6 2 10 2 7 Male 3 5,212 3 ,050 1 9,811 8 ,881 2 ,136 1 ,149 4 6 5 1 23 1 1 Female 3 5,416 2 ,742 2 0,298 9 ,189 2 ,330 6 98 5 5 1 8 7 1 6 MAKUENI 1 12,666 8 ,290 5 6,498 3 2,130 1 0,593 4 ,528 1 93 3 4 27 4 Male 5 7,095 4 ,340 2 8,497 1 5,992 5 ,296 2 ,675 6 2 1 2 31 1 Female 5 5,569 3 ,950 2 7,999 1 6,138 5 ,297 1 ,853 1 31 2 1 96 3 MBOONI EAST 8 3,425 6 ,563 4 6,551 2 2,479 5 ,362 1 ,977 1 61 2 3 27 3 Male 4 1,942 3 ,397 2 3,114 1 1,255 2 ,738 1 ,201 4 7 2 1 87 1 Female 4 1,482 3 ,165 2 3,437 1 1,224 2 ,624 7 76 1 14 - 1 40 2 MBOONI WEST 8 8,610 6 ,583 4 9,956 2 4,025 5 ,494 1 ,958 1 97 4 3 85 8 Male 4 3,407 3 ,321 2 4,198 1 1,693 2 ,724 1 ,178 6 4 2 2 24 3 Female 4 5,202 3 ,262 2 5,758 1 2,332 2 ,769 7 80 1 33 2 1 61 5 MUKAA 9 1,871 6 ,472 5 0,419 2 6,306 5 ,945 2 ,372 1 11 1 7 1 97 3 2 Male 4 7,042 3 ,343 2 5,449 1 3,561 3 ,040 1 ,470 4 1 6 1 19 1 3 Female 4 4,829 3 ,129 2 4,970 1 2,745 2 ,905 9 02 7 0 1 1 7 8 1 9 NZAUI 1 07,060 7 ,034 6 0,820 2 9,038 6 ,929 2 ,724 1 32 - 3 50 3 3 Male 5 4,172 3 ,549 3 0,508 1 4,714 3 ,444 1 ,702 5 1 - 1 87 1 7 Female 5 2,885 3 ,485 3 0,310 1 4,323 3 ,485 1 ,022 8 1 - 1 63 1 6 NYANDARUA 5 54,036 4 3,508 3 01,284 1 64,196 3 0,742 1 2,937 5 32 2 3 7 48 6 6 Male 2 77,223 2 2,368 1 50,491 8 0,434 1 5,445 7 ,877 1 34 5 4 37 3 2 Female 2 76,797 2 1,139 1 50,783 8 3,758 1 5,297 5 ,060 3 98 1 8 3 11 3 3 KINANGOP 9 6,274 7 ,168 5 3,501 2 8,593 4 ,898 1 ,964 5 5 2 7 7 1 6 Male 4 7,838 3 ,637 2 6,664 1 3,876 2 ,394 1 ,196 1 3 - 4 9 9 Female 4 8,433 3 ,530 2 6,835 1 4,717 2 ,504 7 68 4 2 2 2 8 7 85

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 99

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) NYANDARUA SOUTH 8 1,756 6 ,177 4 4,975 2 3,588 4 ,795 2 ,068 6 8 3 7 8 4 Male 4 0,704 3 ,158 2 2,486 1 1,352 2 ,375 1 ,262 2 0 - 4 9 2 Female 4 1,049 3 ,019 2 2,488 1 2,234 2 ,420 8 06 4 8 3 2 9 2 MIRANGINE 5 7,966 4 ,973 3 2,410 1 7,152 2 ,439 8 47 4 3 2 9 3 7 Male 2 9,299 2 ,575 1 6,238 8 ,602 1 ,266 5 49 1 3 1 5 2 3 Female 2 8,666 2 ,398 1 6,171 8 ,550 1 ,173 2 98 3 0 1 4 1 4 KIPIPIRI 8 1,270 6 ,268 4 8,038 2 1,893 3 ,441 1 ,395 1 19 2 1 00 1 4 Male 4 0,745 3 ,224 2 4,113 1 0,645 1 ,826 8 47 2 2 1 6 1 6 Female 4 0,523 3 ,044 2 3,923 1 1,248 1 ,615 5 48 9 7 1 3 9 8 NYANDARUA CENTRAL 6 4,926 5 ,257 3 3,104 1 9,970 4 ,425 1 ,993 4 4 1 1 23 9 Male 3 2,684 2 ,780 1 6,581 9 ,871 2 ,155 1 ,205 1 4 - 7 3 5 Female 3 2,241 2 ,477 1 6,522 1 0,099 2 ,270 7 88 3 0 1 5 0 4 NYANDARUA WEST 8 5,804 7 ,132 4 3,524 2 6,741 5 ,648 2 ,548 8 0 6 1 21 4 Male 4 3,142 3 ,658 2 1,860 1 3,121 2 ,863 1 ,552 1 9 2 6 6 1 Female 4 2,658 3 ,474 2 1,661 1 3,619 2 ,785 9 96 6 1 4 5 5 3 NYANDARUA NORTH 8 6,026 6 ,533 4 5,728 2 6,252 5 ,093 2 ,122 1 23 7 1 56 1 2 Male 4 2,801 3 ,336 2 2,547 1 2,962 2 ,563 1 ,266 3 3 1 8 7 6 Female 4 3,223 3 ,197 2 3,181 1 3,289 2 ,530 8 56 9 0 6 6 9 5 ABERDARE NATIONAL PARK 1 4 - 4 7 3 - - - - - Male 1 0 - 2 5 3 - - - - - Female 4 - 2 2 - - - - - - NYERI 6 69,179 4 2,749 3 05,616 2 25,802 6 3,629 2 8,598 8 42 3 6 1 ,860 4 7 Male 3 33,191 2 1,741 1 51,861 1 11,521 3 0,309 1 6,500 1 89 1 0 1 ,032 2 8 Female 3 35,963 2 1,007 1 53,736 1 14,276 3 3,320 1 2,098 6 53 2 6 8 28 1 9 TETU 7 1,556 4 ,784 3 3,509 2 4,666 6 ,171 2 ,129 1 31 5 1 59 2 Male 3 5,587 2 ,397 1 6,680 1 2,179 3 ,022 1 ,182 2 7 1 9 8 1 Female 3 5,967 2 ,387 1 6,828 1 2,486 3 ,149 9 47 1 04 4 6 1 1 KIENI EAST 9 7,363 6 ,481 4 6,701 3 2,615 8 ,332 2 ,957 6 0 3 2 06 8 Male 4 9,107 3 ,282 2 3,723 1 6,245 3 ,988 1 ,723 1 9 1 1 20 6 Female 4 8,252 3 ,198 2 2,976 1 6,369 4 ,344 1 ,234 4 1 2 8 6 2 KIENI WEST 7 7,958 5 ,296 4 0,576 2 4,877 5 ,079 1 ,824 9 1 4 2 06 5 Male 3 9,101 2 ,753 2 0,179 1 2,401 2 ,551 1 ,061 2 1 2 1 30 3 Female 3 8,852 2 ,543 2 0,392 1 2,476 2 ,528 7 63 7 0 2 7 6 2 MATHIRA EAST 8 8,451 5 ,564 3 7,195 3 0,970 8 ,519 5 ,841 1 23 5 2 31 3 Male 4 3,328 2 ,766 1 8,216 1 4,866 3 ,967 3 ,361 2 1 1 1 29 1 Female 4 5,120 2 ,798 1 8,977 1 6,103 4 ,552 2 ,480 1 02 4 1 02 2 MATHIRA WEST 5 3,736 3 ,195 2 5,885 1 8,448 4 ,442 1 ,512 1 06 8 1 32 8 Male 2 6,800 1 ,659 1 2,881 9 ,143 2 ,180 8 40 2 8 1 6 5 3 Female 2 6,933 1 ,536 1 3,002 9 ,304 2 ,262 6 72 7 8 7 6 7 5 86

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 100

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) NYERI SOUTH 7 9,983 4 ,934 3 6,438 2 8,324 7 ,313 2 ,658 1 20 5 1 89 2 Male 3 9,530 2 ,555 1 7,758 1 4,041 3 ,571 1 ,490 2 0 4 9 0 1 Female 4 0,452 2 ,379 1 8,679 1 4,283 3 ,742 1 ,168 1 00 1 9 9 1 MUKURWE-INI 7 7,621 4 ,694 4 0,843 2 4,123 5 ,533 2 ,049 1 12 4 2 59 4 Male 3 9,162 2 ,377 2 0,208 1 2,270 2 ,888 1 ,248 3 0 - 1 39 2 Female 3 8,454 2 ,317 2 0,630 1 1,853 2 ,645 8 01 8 2 4 1 20 2 NYERI CENTRAL 1 22,241 7 ,792 4 4,394 4 1,649 1 8,192 9 ,620 9 9 2 4 78 1 5 Male 6 0,394 3 ,946 2 2,163 2 0,285 8 ,117 5 ,588 2 3 - 2 61 1 1 Female 6 1,845 3 ,846 2 2,230 2 1,363 1 0,075 4 ,032 7 6 2 2 17 4 MT. KENYA FOREST 1 74 7 6 5 7 1 2 9 2 - - - - Male 1 15 4 4 5 5 0 1 4 2 - - - - Female 5 9 3 2 0 2 1 1 5 - - - - - ABERDARE FOREST 9 6 2 1 0 5 9 1 9 6 - - - - Male 6 7 2 8 4 1 1 1 5 - - - - Female 2 9 - 2 1 8 8 1 - - - - KIRINYAGA 5 29,936 3 8,109 2 66,878 1 65,768 4 0,448 1 6,767 6 44 3 2 1 ,253 3 7 Male 2 66,723 1 9,338 1 34,107 8 2,240 2 0,104 9 ,948 1 79 1 5 7 71 2 1 Female 2 63,187 1 8,770 1 32,753 8 3,522 2 0,344 6 ,818 4 65 1 7 4 82 1 6 KIRINYAGA CENTRAL 1 06,657 7 ,360 4 9,373 3 4,003 1 0,569 4 ,888 1 42 3 3 16 3 Male 5 3,267 3 ,745 2 4,749 1 6,562 5 ,112 2 ,869 3 2 1 1 95 2 Female 5 3,386 3 ,615 2 4,621 1 7,440 5 ,457 2 ,019 1 10 2 1 21 1 KIRINYAGA EAST 1 18,613 8 ,258 5 8,349 3 9,250 8 ,898 3 ,442 1 51 1 4 2 31 2 0 Male 6 0,084 4 ,129 2 9,523 1 9,558 4 ,650 2 ,011 4 9 6 1 46 1 2 Female 5 8,521 4 ,129 2 8,821 1 9,689 4 ,248 1 ,431 1 02 8 8 5 8 KIRINYAGA WEST 1 00,427 7 ,001 5 0,304 3 1,789 7 ,851 3 ,101 1 57 5 2 16 3 Male 5 0,206 3 ,568 2 4,980 1 5,688 3 ,961 1 ,833 3 8 5 1 31 2 Female 5 0,218 3 ,433 2 5,321 1 6,101 3 ,890 1 ,268 1 19 - 8 5 1 MWEA EAST 1 12,975 8 ,538 5 8,254 3 4,327 8 ,007 3 ,399 1 18 7 3 16 9 Male 5 6,761 4 ,357 2 9,490 1 6,847 3 ,782 2 ,046 4 2 2 1 90 5 Female 5 6,208 4 ,181 2 8,759 1 7,480 4 ,225 1 ,352 7 6 5 1 26 4 MWEA WEST 9 1,230 6 ,950 5 0,594 2 6,386 5 ,111 1 ,934 7 6 3 1 74 2 Male 4 6,381 3 ,539 2 5,361 1 3,576 2 ,589 1 ,188 1 8 1 1 09 - Female 4 4,844 3 ,410 2 5,231 1 2,808 2 ,522 7 46 5 8 2 6 5 2 MT. KENYA FOREST 3 4 2 4 1 3 1 2 3 - - - - Male 2 4 - 4 9 1 0 1 - - - - Female 1 0 2 - 4 2 2 - - - - MURANG’A 9 11,765 6 2,067 4 95,697 2 70,364 5 7,479 2 3,058 1 ,101 4 9 1 ,807 1 43 Male 4 60,085 3 1,351 2 47,567 1 36,784 2 8,877 1 4,050 3 14 1 9 1 ,050 7 3 Female 4 51,651 3 0,711 2 48,116 1 33,575 2 8,599 9 ,007 7 87 3 0 7 56 7 0 87

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 101

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) MURANG’A EAST 9 3,767 5 ,803 4 7,881 2 7,038 8 ,494 4 ,221 9 4 6 2 24 6 Male 4 6,925 2 ,928 2 4,290 1 3,223 3 ,917 2 ,385 3 0 3 1 47 2 Female 4 6,841 2 ,874 2 3,591 1 3,815 4 ,577 1 ,836 6 4 3 7 7 4 KANGEMA 6 9,647 4 ,335 3 7,657 2 1,084 4 ,634 1 ,676 1 15 8 1 38 - Male 3 5,032 2 ,176 1 8,675 1 0,639 2 ,374 1 ,056 3 7 2 7 3 - Female 3 4,612 2 ,158 1 8,982 1 0,443 2 ,260 6 20 7 8 6 6 5 - MATHIOYA 7 9,274 5 ,444 4 3,022 2 3,581 5 ,073 1 ,775 1 79 6 1 79 1 5 Male 3 9,849 2 ,742 2 1,523 1 1,700 2 ,639 1 ,090 4 4 1 1 03 7 Female 3 9,424 2 ,702 2 1,498 1 1,881 2 ,434 6 85 1 35 5 7 6 8 KAHURO 7 6,930 4 ,757 4 2,158 2 3,524 4 ,507 1 ,658 1 10 6 2 02 8 Male 3 8,565 2 ,400 2 0,735 1 1,936 2 ,325 1 ,037 2 0 - 1 07 5 Female 3 8,358 2 ,355 2 1,420 1 1,587 2 ,181 6 21 9 0 6 9 5 3 MURANG’A SOUTH 1 59,238 1 1,101 8 8,008 4 5,583 9 ,888 4 ,210 1 54 5 2 62 2 7 Male 8 0,265 5 ,640 4 3,931 2 3,000 4 ,889 2 ,594 5 0 3 1 44 1 4 Female 7 8,968 5 ,460 4 4,075 2 2,583 4 ,997 1 ,616 1 04 2 1 18 1 3 GATANGA 1 63,372 1 1,849 8 8,225 4 8,609 1 0,050 4 ,109 1 79 - 3 22 2 9 Male 8 3,337 5 ,996 4 4,343 2 5,220 5 ,065 2 ,453 5 6 - 1 89 1 5 Female 8 0,032 5 ,853 4 3,880 2 3,389 4 ,985 1 ,656 1 23 - 1 32 1 4 KIGUMO 1 18,165 7 ,859 6 5,984 3 5,244 6 ,309 2 ,407 1 29 1 1 1 93 2 9 Male 5 9,748 4 ,020 3 2,959 1 7,757 3 ,297 1 ,544 3 3 6 1 16 1 6 Female 5 8,414 3 ,839 3 3,023 1 7,487 3 ,012 8 62 9 6 5 7 7 1 3 KANDARA 1 51,331 1 0,917 8 2,756 4 5,675 8 ,517 3 ,002 1 41 7 2 87 2 9 Male 7 6,334 5 ,448 4 1,106 2 3,290 4 ,366 1 ,891 4 4 4 1 71 1 4 Female 7 4,991 5 ,469 4 1,646 2 2,383 4 ,151 1 ,111 9 7 3 1 16 1 5 ABERDARE FOREST 4 1 2 6 2 6 7 - - - - - Male 3 0 1 5 1 9 5 - - - - - Female 1 1 1 1 7 2 - - - - - KIAMBU 2 ,119,863 1 48,444 8 12,773 7 05,709 2 77,050 1 67,499 1 ,429 7 3 6 ,363 5 23 Male 1 ,044,944 7 5,078 3 98,130 3 49,177 1 25,787 9 2,275 4 73 2 9 3 ,731 2 64 Female 1 ,074,806 7 3,358 4 14,593 3 56,495 1 51,253 7 5,217 9 56 4 4 2 ,631 2 59 GATUNDU NORTH 9 5,276 6 ,851 4 8,696 3 1,117 6 ,302 1 ,868 1 09 1 3 15 1 7 Male 4 7,898 3 ,452 2 4,145 1 5,752 3 ,229 1 ,095 2 8 - 1 90 7 Female 4 7,376 3 ,399 2 4,551 1 5,364 3 ,072 7 73 8 1 1 1 25 1 0 GATUNDU SOUTH 1 05,449 6 ,824 5 2,985 3 5,025 7 ,883 2 ,255 1 21 3 3 11 4 2 Male 5 3,333 3 ,484 2 6,317 1 7,946 4 ,006 1 ,340 4 0 2 1 81 1 7 Female 5 2,112 3 ,339 2 6,667 1 7,077 3 ,877 9 15 8 1 1 1 30 2 5 GITHUNGURI 1 44,873 9 ,403 6 5,945 5 1,914 1 3,188 4 ,014 1 22 8 2 60 1 9 Male 7 2,888 4 ,771 3 3,148 2 6,245 6 ,264 2 ,265 3 1 2 1 52 1 0 Female 7 1,978 4 ,632 3 2,793 2 5,666 6 ,924 1 ,749 9 1 6 1 08 9 88

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 102

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) JUJA 2 65,949 1 9,634 9 2,175 8 6,366 4 0,240 2 6,351 1 66 1 1 9 31 7 5 Male 1 31,199 9 ,959 4 4,768 4 2,333 1 7,898 1 5,566 7 0 6 5 60 3 9 Female 1 34,731 9 ,675 4 7,400 4 4,026 2 2,338 1 0,784 9 6 5 3 71 3 6 KABETE 1 76,713 1 1,750 6 3,178 5 9,559 2 5,710 1 5,827 1 06 5 5 35 4 3 Male 8 6,641 5 ,926 3 0,846 2 9,456 1 1,615 8 ,447 3 4 2 2 96 1 9 Female 9 0,058 5 ,823 3 2,328 3 0,095 1 4,095 7 ,379 7 2 3 2 39 2 4 KIAMBAA 2 07,042 1 4,905 7 5,775 7 0,092 2 7,741 1 7,636 1 23 2 6 85 8 3 Male 1 01,843 7 ,535 3 7,036 3 5,598 1 2,149 9 ,062 5 2 1 3 66 4 4 Female 1 05,190 7 ,370 3 8,733 3 4,494 1 5,591 8 ,573 7 1 1 3 18 3 9 KIAMBU 1 27,372 8 ,457 4 4,549 3 9,750 1 9,831 1 4,301 6 0 1 3 62 6 1 Male 6 0,712 4 ,240 2 1,436 1 8,870 8 ,586 7 ,316 2 4 1 2 07 3 2 Female 6 6,647 4 ,216 2 3,108 2 0,874 1 1,244 6 ,985 3 6 - 1 55 2 9 KIKUYU 1 65,020 1 1,625 6 0,304 5 0,153 2 4,176 1 8,175 1 07 - 4 65 1 5 Male 8 0,241 5 ,880 2 9,478 2 4,269 1 0,754 9 ,550 2 7 - 2 76 7 Female 8 4,775 5 ,744 3 0,823 2 5,884 1 3,422 8 ,625 8 0 - 1 89 8 LARI 1 17,345 7 ,773 5 9,151 3 7,986 9 ,028 3 ,013 1 31 6 2 49 8 Male 5 8,938 3 ,959 2 9,369 1 9,200 4 ,489 1 ,714 4 6 - 1 58 3 Female 5 8,405 3 ,813 2 9,781 1 8,786 4 ,539 1 ,299 8 5 6 9 1 5 LIMURU 1 38,940 1 0,024 6 2,143 4 6,147 1 4,030 6 ,046 1 52 6 3 68 2 4 Male 7 0,268 5 ,073 3 1,487 2 3,730 6 ,429 3 ,286 3 3 2 2 13 1 5 Female 6 8,672 4 ,951 3 0,656 2 2,417 7 ,601 2 ,760 1 19 4 1 55 9 RUIRU 3 27,537 2 3,638 1 03,475 1 14,502 4 8,767 3 5,737 1 23 1 6 1 ,201 7 8 Male 1 59,022 1 1,900 4 8,882 5 5,267 2 2,178 1 9,941 4 4 6 7 61 4 3 Female 1 68,496 1 1,735 5 4,586 5 9,229 2 6,588 1 5,794 7 9 1 0 4 40 3 5 THIKA EAST 3 3,778 2 ,425 1 6,288 1 0,889 3 ,089 9 89 2 3 1 6 7 7 Male 1 7,320 1 ,209 8 ,239 5 ,739 1 ,505 5 75 9 - 4 2 2 Female 1 6,454 1 ,216 8 ,047 5 ,148 1 ,584 4 14 1 4 1 2 5 5 THIKA WEST 2 14,569 1 5,135 6 8,109 7 2,209 3 7,065 2 1,287 8 6 1 3 6 14 5 1 Male 1 04,641 7 ,690 3 2,979 3 4,772 1 6,685 1 2,118 3 5 7 3 29 2 6 Female 1 09,912 7 ,445 3 5,120 3 7,435 2 0,378 9 ,167 5 1 6 2 85 2 5 TURKANA 2 46,743 4 1,718 1 32,009 5 1,762 1 2,542 5 ,601 9 94 1 85 1 ,214 7 18 Male 1 34,242 2 0,807 6 7,873 3 1,963 7 ,798 4 ,120 5 36 1 03 6 81 3 61 Female 1 12,498 2 0,910 6 4,135 1 9,799 4 ,744 1 ,481 4 58 8 2 5 32 3 57 KIBISH 3 ,169 5 59 1 ,816 5 70 1 20 5 6 2 1 - 2 7 - Male 1 ,902 2 96 1 ,032 4 09 9 0 4 5 9 - 2 1 - Female 1 ,266 2 62 7 84 1 61 3 0 1 1 1 2 - 6 - LOIMA 1 7,434 4 ,676 9 ,218 2 ,267 4 62 1 48 1 03 - 4 50 1 10 Male 9 ,108 2 ,321 4 ,588 1 ,428 3 07 1 20 6 6 - 2 21 5 7 Female 8 ,326 2 ,355 4 ,630 8 39 1 55 2 8 3 7 - 2 29 5 3 89

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 103

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) TURKANA CENTRAL 8 1,517 1 3,339 4 0,452 1 8,560 5 ,779 2 ,895 2 39 2 1 95 5 6 Male 4 2,842 6 ,598 2 0,122 1 0,577 3 ,200 2 ,054 1 44 2 1 16 2 9 Female 3 8,675 6 ,741 2 0,330 7 ,983 2 ,579 8 41 9 5 - 7 9 2 7 TURKANA EAST 2 0,823 2 ,574 1 0,877 5 ,318 1 ,305 3 90 9 0 - 1 18 1 51 Male 1 1,534 1 ,340 5 ,667 3 ,149 8 71 3 05 5 7 - 5 9 8 6 Female 9 ,289 1 ,234 5 ,210 2 ,169 4 34 8 5 3 3 - 5 9 6 5 TURKANA NORTH 1 1,892 3 ,146 6 ,178 1 ,756 4 97 1 85 7 7 - 4 9 4 Male 6 ,748 1 ,597 3 ,386 1 ,190 3 50 1 52 4 4 - 2 7 2 Female 5 ,144 1 ,549 2 ,792 5 66 1 47 3 3 3 3 - 2 2 2 TURKANA SOUTH 4 1,268 6 ,892 2 2,669 8 ,644 1 ,960 7 48 1 52 7 1 11 8 5 Male 2 1,587 3 ,340 1 0,996 5 ,196 1 ,293 5 69 7 2 4 7 7 4 0 Female 1 9,679 3 ,552 1 1,672 3 ,448 6 67 1 79 8 0 3 3 3 4 5 TURKANA WEST 7 0,640 1 0,532 4 0,799 1 4,647 2 ,419 1 ,179 3 12 1 76 2 64 3 12 Male 4 0,521 5 ,315 2 2,082 1 0,014 1 ,687 8 75 1 44 9 7 1 60 1 47 Female 3 0,119 5 ,217 1 8,717 4 ,633 7 32 3 04 1 68 7 9 1 04 1 65 WEST POKOT 3 28,752 5 3,755 1 91,621 6 0,239 1 4,323 7 ,316 5 76 1 2 8 07 1 03 Male 1 68,629 2 7,178 9 5,148 3 3,544 7 ,322 4 ,628 3 06 5 4 50 4 8 Female 1 60,116 2 6,577 9 6,466 2 6,695 7 ,001 2 ,688 2 70 7 3 57 5 5 KIPKOMO 6 7,450 1 0,567 4 1,009 1 1,487 2 ,857 1 ,276 1 21 1 1 32 - Male 3 4,453 5 ,332 2 0,416 6 ,344 1 ,411 8 11 6 8 1 7 0 - Female 3 2,993 5 ,235 2 0,589 5 ,143 1 ,446 4 65 5 3 - 6 2 - POKOT CENTRAL 5 8,170 1 0,247 3 7,668 7 ,820 1 ,684 5 77 7 7 - 7 9 1 8 Male 3 0,580 5 ,197 1 9,297 4 ,572 1 ,028 4 01 3 7 - 4 1 7 Female 2 7,589 5 ,050 1 8,370 3 ,248 6 56 1 76 4 0 - 3 8 1 1 POKOT NORTH 3 3,944 6 ,887 1 9,518 5 ,525 1 ,259 5 71 5 0 1 7 5 5 8 Male 1 7,446 3 ,408 9 ,399 3 ,359 7 77 4 05 2 9 1 4 3 2 5 Female 1 6,498 3 ,479 1 0,119 2 ,166 4 82 1 66 2 1 - 3 2 3 3 POKOT SOUTH 5 6,673 9 ,363 3 2,833 1 0,627 2 ,569 1 ,060 9 8 - 1 23 - Male 2 8,727 4 ,787 1 6,105 5 ,726 1 ,280 7 07 4 4 - 7 8 - Female 2 7,944 4 ,576 1 6,726 4 ,901 1 ,289 3 53 5 4 - 4 5 - WEST POKOT 1 12,515 1 6,691 6 0,593 2 4,780 5 ,954 3 ,832 2 30 1 0 3 98 2 7 Male 5 7,423 8 ,454 2 9,931 1 3,543 2 ,826 2 ,304 1 28 3 2 18 1 6 Female 5 5,092 8 ,237 3 0,662 1 1,237 3 ,128 1 ,528 1 02 7 1 80 1 1 SAMBURU 1 20,230 2 2,669 6 2,566 2 4,559 6 ,646 3 ,176 2 06 6 3 74 2 8 Male 6 5,075 1 1,765 3 2,084 1 4,615 4 ,033 2 ,232 1 09 1 2 24 1 2 Female 5 5,154 1 0,903 3 0,482 9 ,944 2 ,613 9 44 9 7 5 1 50 1 6 SAMBURU CENTRAL 7 7,389 1 4,088 4 0,849 1 5,661 4 ,139 2 ,283 9 8 3 2 48 2 0 Male 4 1,684 7 ,308 2 1,004 9 ,214 2 ,389 1 ,568 5 0 1 1 41 9 Female 3 5,705 6 ,780 1 9,845 6 ,447 1 ,750 7 15 4 8 2 1 07 1 1 90

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 104

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) SAMBURU EAST 2 5,288 4 ,626 1 2,940 5 ,372 1 ,648 5 40 5 6 1 1 04 1 Male 1 3,688 2 ,406 6 ,583 3 ,184 1 ,023 3 87 3 4 - 7 1 - Female 1 1,600 2 ,220 6 ,357 2 ,188 6 25 1 53 2 2 1 3 3 1 SAMBURU NORTH 1 7,553 3 ,955 8 ,777 3 ,526 8 59 3 53 5 2 2 2 2 7 Male 9 ,703 2 ,051 4 ,497 2 ,217 6 21 2 77 2 5 - 1 2 3 Female 7 ,849 1 ,903 4 ,280 1 ,309 2 38 7 6 2 7 2 1 0 4 TRANS NZOIA 8 07,667 8 7,613 4 42,031 2 10,611 4 1,453 2 3,182 7 14 2 1 1 ,974 6 8 Male 4 00,680 4 4,210 2 17,139 1 04,170 1 9,556 1 4,048 3 48 6 1 ,171 3 2 Female 4 06,969 4 3,402 2 24,879 1 06,438 2 1,896 9 ,134 3 66 1 5 8 03 3 6 TRANS NZOIA WEST 1 65,100 1 6,827 8 9,901 4 5,109 8 ,591 4 ,090 6 8 3 4 75 3 6 Male 8 2,214 8 ,528 4 3,847 2 2,764 4 ,191 2 ,548 3 1 - 2 88 1 7 Female 8 2,883 8 ,299 4 6,052 2 2,344 4 ,400 1 ,542 3 7 3 1 87 1 9 TRANS NZOIA EAST 1 87,681 1 8,385 1 04,377 4 9,646 9 ,357 5 ,238 1 58 5 5 03 1 2 Male 9 3,324 9 ,324 5 1,445 2 4,619 4 ,386 3 ,180 7 1 3 2 92 4 Female 9 4,351 9 ,060 5 2,927 2 5,027 4 ,971 2 ,058 8 7 2 2 11 8 KWANZA 1 63,735 2 0,114 8 9,996 4 1,064 7 ,789 4 ,069 2 52 6 4 37 8 Male 8 1,182 1 0,090 4 4,434 2 0,031 3 ,711 2 ,536 1 27 1 2 47 5 Female 8 2,550 1 0,024 4 5,561 2 1,032 4 ,077 1 ,533 1 25 5 1 90 3 ENDEBESS 8 7,680 1 1,639 5 3,902 1 8,428 2 ,362 1 ,110 8 6 2 1 49 2 Male 4 4,520 5 ,889 2 6,680 9 ,794 1 ,248 7 67 4 8 1 9 2 1 Female 4 3,157 5 ,750 2 7,219 8 ,634 1 ,114 3 43 3 8 1 5 7 1 KIMININI 2 03,471 2 0,648 1 03,855 5 6,364 1 3,354 8 ,675 1 50 5 4 10 1 0 Male 9 9,440 1 0,379 5 0,733 2 6,962 6 ,020 5 ,017 7 1 1 2 52 5 Female 1 04,028 1 0,269 5 3,120 2 9,401 7 ,334 3 ,658 7 9 4 1 58 5 UASIN GISHU 9 82,670 8 8,562 4 49,736 2 85,461 9 7,036 5 8,417 8 27 8 6 2 ,406 1 39 Male 4 91,510 4 5,436 2 25,336 1 43,657 4 3,828 3 1,355 3 98 4 3 1 ,388 6 9 Female 4 91,139 4 3,124 2 24,395 1 41,797 5 3,205 2 7,059 4 29 4 3 1 ,017 7 0 AINABKOI 1 17,289 1 0,173 5 2,095 3 3,834 1 2,273 8 ,560 1 04 6 2 33 1 1 Male 5 8,348 5 ,223 2 6,330 1 6,786 5 ,476 4 ,344 4 9 1 1 34 5 Female 5 8,941 4 ,950 2 5,765 1 7,048 6 ,797 4 ,216 5 5 5 9 9 6 KAPSERET 1 71,715 1 3,460 6 9,210 5 1,964 2 2,869 1 3,562 9 9 8 4 95 4 8 Male 8 6,038 6 ,844 3 4,731 2 6,458 1 0,570 7 ,075 4 4 6 2 87 2 3 Female 8 5,673 6 ,616 3 4,478 2 5,504 1 2,298 6 ,487 5 5 2 2 08 2 5 KESSES 1 25,458 1 1,840 6 2,938 3 3,768 1 0,115 6 ,462 1 17 1 3 1 92 1 3 Male 6 3,271 6 ,192 3 1,867 1 6,967 4 ,564 3 ,511 5 3 7 1 03 7 Female 6 2,184 5 ,648 3 1,070 1 6,801 5 ,550 2 ,950 6 4 6 8 9 6 MOIBEN 1 52,275 1 2,811 6 5,859 4 4,576 1 6,616 1 1,895 1 31 7 3 65 1 5 Male 7 5,484 6 ,535 3 3,072 2 2,114 7 ,112 6 ,371 6 2 5 2 07 6 Female 7 6,789 6 ,276 3 2,785 2 2,462 9 ,504 5 ,524 6 9 2 1 58 9 91

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 105

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) SOY 1 92,028 1 9,191 9 8,732 5 2,394 1 3,743 7 ,309 1 84 4 4 44 2 7 Male 9 6,177 9 ,890 4 9,523 2 6,077 6 ,200 4 ,126 8 6 2 2 56 1 7 Female 9 5,846 9 ,300 4 9,209 2 6,316 7 ,542 3 ,182 9 8 2 1 87 1 0 TURBO 2 23,905 2 1,087 1 00,902 6 8,925 2 1,420 1 0,629 1 92 4 8 6 77 2 5 Male 1 12,192 1 0,752 4 9,813 3 5,255 9 ,906 5 ,928 1 04 2 2 4 01 1 1 Female 1 11,706 1 0,334 5 1,088 3 3,666 1 1,514 4 ,700 8 8 2 6 2 76 1 4 ELGEYO/MARAKWET 3 63,177 4 2,229 1 98,277 8 9,263 2 2,266 9 ,792 3 56 1 2 9 20 6 2 Male 1 83,740 2 1,651 9 8,988 4 6,152 1 0,688 5 ,498 1 91 8 5 34 3 0 Female 1 79,428 2 0,578 9 9,284 4 3,109 1 1,577 4 ,293 1 65 4 3 86 3 2 KEIYO NORTH 8 3,235 8 ,395 4 2,120 2 2,653 6 ,693 3 ,104 6 5 8 1 82 1 5 Male 4 1,815 4 ,370 2 1,295 1 1,372 2 ,990 1 ,632 3 6 4 1 10 6 Female 4 1,419 4 ,025 2 0,824 1 1,281 3 ,703 1 ,472 2 9 4 7 2 9 KEIYO SOUTH 1 00,537 1 0,062 5 4,311 2 6,230 6 ,752 2 ,704 1 05 3 3 50 2 0 Male 5 1,261 5 ,207 2 7,675 1 3,410 3 ,298 1 ,401 5 5 3 2 03 9 Female 4 9,273 4 ,855 2 6,636 1 2,819 3 ,453 1 ,302 5 0 - 1 47 1 1 MARAKWET EAST 7 0,984 1 1,124 4 0,758 1 4,495 2 ,962 1 ,381 9 2 1 1 70 1 Male 3 5,834 5 ,699 1 9,615 7 ,976 1 ,517 8 83 4 4 1 9 8 1 Female 3 5,149 5 ,425 2 1,142 6 ,519 1 ,445 4 98 4 8 - 7 2 - MARAKWET WEST 1 08,421 1 2,648 6 1,088 2 5,885 5 ,859 2 ,603 9 4 - 2 18 2 6 Male 5 4,830 6 ,375 3 0,403 1 3,394 2 ,883 1 ,582 5 6 - 1 23 1 4 Female 5 3,587 6 ,273 3 0,682 1 2,490 2 ,976 1 ,021 3 8 - 9 5 1 2 NANDI 7 44,256 7 8,896 4 18,603 1 75,384 4 6,798 2 1,744 9 98 5 3 1 ,700 8 0 Male 3 73,405 4 0,217 2 08,438 8 8,559 2 2,123 1 2,509 5 05 2 6 9 80 4 8 Female 3 70,835 3 8,677 2 10,152 8 6,824 2 4,675 9 ,235 4 93 2 7 7 20 3 2 CHESUMEI 1 40,057 1 2,606 7 4,218 3 5,932 1 0,789 6 ,075 1 24 8 3 01 4 Male 6 9,601 6 ,402 3 6,893 1 7,794 4 ,899 3 ,360 7 3 3 1 74 3 Female 7 0,453 6 ,203 3 7,323 1 8,138 5 ,890 2 ,715 5 1 5 1 27 1 NANDI CENTRAL 1 23,620 1 3,020 6 8,222 2 9,596 8 ,138 4 ,133 2 83 5 2 23 - Male 6 1,703 6 ,591 3 4,005 1 4,738 3 ,732 2 ,371 1 35 4 1 27 - Female 6 1,913 6 ,429 3 4,214 1 4,857 4 ,406 1 ,762 1 48 1 9 6 - NANDI EAST 1 01,090 1 1,255 5 5,974 2 3,706 6 ,871 2 ,923 1 03 6 2 09 4 3 Male 5 1,192 5 ,727 2 8,018 1 2,257 3 ,315 1 ,669 4 9 3 1 31 2 3 Female 4 9,896 5 ,528 2 7,954 1 1,449 3 ,556 1 ,254 5 4 3 7 8 2 0 NANDI NORTH 1 38,862 1 4,214 7 9,431 3 3,160 7 ,896 3 ,607 1 39 1 8 3 83 1 4 Male 6 9,415 7 ,283 3 9,345 1 6,726 3 ,689 2 ,057 6 6 1 1 2 29 9 Female 6 9,444 6 ,931 4 0,083 1 6,434 4 ,207 1 ,550 7 3 7 1 54 5 NANDI SOUTH 1 45,263 1 6,794 8 2,673 3 3,495 8 ,425 3 ,211 2 47 1 5 3 95 8 Male 7 2,624 8 ,541 4 1,130 1 6,553 4 ,129 1 ,927 1 27 5 2 08 4 Female 7 2,636 8 ,253 4 1,540 1 6,942 4 ,296 1 ,284 1 20 1 0 1 87 4 92

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 106

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) TINDERET 9 5,364 1 1,007 5 8,085 1 9,495 4 ,679 1 ,795 1 02 1 1 89 1 1 Male 4 8,870 5 ,673 2 9,047 1 0,491 2 ,359 1 ,125 5 5 - 1 11 9 Female 4 6,493 5 ,333 2 9,038 9 ,004 2 ,320 6 70 4 7 1 7 8 2 BARINGO 4 45,727 5 0,032 2 29,993 1 14,769 3 3,737 1 5,116 6 95 3 2 1 ,309 4 4 Male 2 27,913 2 5,985 1 16,074 5 9,759 1 6,186 8 ,808 3 45 1 0 7 28 1 8 Female 2 17,804 2 4,045 1 13,915 5 5,007 1 7,550 6 ,308 3 50 2 2 5 81 2 6 BARINGO CENTRAL 8 1,414 7 ,061 3 7,858 2 3,054 8 ,949 4 ,146 9 5 2 0 2 30 1 Male 4 0,778 3 ,672 1 8,903 1 1,590 4 ,128 2 ,314 3 5 8 1 28 - Female 4 0,636 3 ,389 1 8,955 1 1,464 4 ,821 1 ,832 6 0 1 2 1 02 1 BARINGO NORTH 8 2,312 8 ,971 4 4,840 2 0,027 5 ,882 2 ,180 1 11 2 2 96 3 Male 4 2,037 4 ,704 2 2,507 1 0,257 3 ,014 1 ,342 5 1 - 1 61 1 Female 4 0,273 4 ,267 2 2,331 9 ,770 2 ,868 8 38 6 0 2 1 35 2 EAST POKOT 1 5,563 3 ,044 8 ,109 3 ,098 7 73 3 82 5 6 - 9 6 5 Male 8 ,572 1 ,609 4 ,288 1 ,867 4 58 2 61 3 6 - 5 1 2 Female 6 ,990 1 ,434 3 ,821 1 ,231 3 15 1 21 2 0 - 4 5 3 KOIBATEK 1 11,168 1 0,459 5 6,138 3 1,628 8 ,522 4 ,019 1 21 7 2 66 8 Male 5 6,265 5 ,381 2 8,423 1 6,162 3 ,848 2 ,226 7 0 1 1 51 3 Female 5 4,901 5 ,078 2 7,714 1 5,465 4 ,674 1 ,793 5 1 6 1 15 5 MARIGAT 6 6,652 9 ,183 3 6,961 1 5,363 3 ,424 1 ,522 8 2 - 1 07 1 0 Male 3 4,272 4 ,743 1 8,290 8 ,421 1 ,731 9 92 3 1 - 5 8 6 Female 3 2,377 4 ,440 1 8,670 6 ,941 1 ,692 5 30 5 1 - 4 9 4 MOGOTIO 7 2,874 8 ,271 3 7,666 1 8,781 5 ,349 2 ,481 1 29 3 1 93 1 Male 3 7,248 4 ,292 1 9,204 9 ,699 2 ,466 1 ,399 6 9 1 1 17 1 Female 3 5,624 3 ,978 1 8,462 9 ,081 2 ,883 1 ,082 6 0 2 7 6 - TIATY EAST 1 5,744 3 ,043 8 ,421 2 ,818 8 38 3 86 1 01 - 1 21 1 6 Male 8 ,741 1 ,584 4 ,459 1 ,763 5 41 2 74 5 3 - 6 2 5 Female 7 ,003 1 ,459 3 ,962 1 ,055 2 97 1 12 4 8 - 5 9 1 1 LAIKIPIA 3 96,236 3 6,425 2 00,615 1 17,067 2 6,963 1 3,492 4 25 1 3 1 ,198 3 8 Male 2 01,391 1 8,677 1 01,040 5 9,634 1 3,289 7 ,864 1 52 8 7 08 1 9 Female 1 94,837 1 7,746 9 9,571 5 7,431 1 3,674 5 ,628 2 73 5 4 90 1 9 LAIKIPIA CENTRAL 8 2,872 5 ,892 4 1,152 2 6,698 6 ,443 2 ,354 8 3 2 2 36 1 2 Male 4 1,828 3 ,049 2 0,788 1 3,354 3 ,115 1 ,366 2 0 - 1 34 2 Female 4 1,044 2 ,843 2 0,364 1 3,344 3 ,328 9 88 6 3 2 1 02 1 0 LAIKIPIA EAST 8 1,439 6 ,457 3 6,720 2 6,828 7 ,713 3 ,406 8 7 6 2 15 7 Male 4 1,595 3 ,278 1 8,359 1 4,100 3 ,748 1 ,925 3 0 5 1 44 6 Female 3 9,839 3 ,178 1 8,358 1 2,727 3 ,965 1 ,481 5 7 1 7 1 1 LAIKIPIA NORTH 1 6,261 3 ,407 9 ,262 2 ,788 4 96 2 00 6 6 1 4 0 1 Male 8 ,901 1 ,751 4 ,990 1 ,661 3 04 1 43 2 3 - 2 9 - Female 7 ,360 1 ,656 4 ,272 1 ,127 1 92 5 7 4 3 1 1 1 1 93

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 107

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) LAIKIPIA WEST 8 5,629 9 ,734 4 8,330 2 1,984 3 ,577 1 ,527 9 5 - 3 66 1 6 Male 4 4,371 5 ,031 2 4,681 1 1,533 1 ,928 9 52 4 3 - 1 92 1 1 Female 4 1,257 4 ,703 2 3,648 1 0,451 1 ,649 5 75 5 2 - 1 74 5 NYAHURURU 1 30,035 1 0,935 6 5,151 3 8,769 8 ,734 6 ,005 9 4 4 3 41 2 Male 6 4,696 5 ,568 3 2,222 1 8,986 4 ,194 3 ,478 3 6 3 2 09 - Female 6 5,337 5 ,366 3 2,929 1 9,782 4 ,540 2 ,527 5 8 1 1 32 2 NAKURU 1 ,817,950 1 65,969 8 92,213 5 44,797 1 37,959 7 0,666 1 ,091 1 17 4 ,819 3 19 Male 9 10,222 8 4,772 4 40,076 2 76,540 6 4,284 4 1,122 4 36 5 4 2 ,774 1 64 Female 9 07,648 8 1,193 4 52,101 2 68,226 7 3,671 2 9,540 6 55 6 3 2 ,044 1 55 GILGIL 1 55,494 1 3,862 7 4,320 5 1,339 1 0,800 4 ,615 1 35 1 5 3 78 3 0 Male 7 8,968 7 ,035 3 6,826 2 7,158 5 ,033 2 ,617 4 9 7 2 26 1 7 Female 7 6,519 6 ,827 3 7,491 2 4,177 5 ,767 1 ,998 8 6 8 1 52 1 3 KURESOI NORTH 1 44,244 1 6,313 8 7,925 3 2,843 4 ,693 2 ,077 8 7 2 2 85 1 9 Male 7 2,651 8 ,337 4 3,337 1 6,955 2 ,472 1 ,348 4 0 2 1 51 9 Female 7 1,590 7 ,976 4 4,587 1 5,886 2 ,221 7 29 4 7 - 1 34 1 0 KURESOI SOUTH 1 27,475 1 3,592 7 5,950 2 8,992 5 ,678 2 ,884 6 0 7 3 10 2 Male 6 4,618 7 ,027 3 7,477 1 5,120 2 ,926 1 ,844 3 0 1 1 92 1 Female 6 2,855 6 ,565 3 8,471 1 3,872 2 ,752 1 ,040 3 0 6 1 18 1 MOLO 1 32,470 1 2,116 7 2,277 3 7,667 6 ,567 3 ,361 6 1 3 4 13 5 Male 6 6,760 6 ,115 3 6,034 1 9,084 3 ,225 2 ,029 2 5 2 2 44 2 Female 6 5,705 6 ,000 3 6,242 1 8,580 3 ,342 1 ,332 3 6 1 1 69 3 NAIVASHA 2 95,597 2 4,961 1 37,272 9 9,282 2 3,947 9 ,108 1 49 8 8 03 6 7 Male 1 48,476 1 2,735 6 7,342 5 0,658 1 1,770 5 ,400 6 0 5 4 72 3 4 Female 1 47,096 1 2,226 6 9,918 4 8,614 1 2,177 3 ,706 8 9 3 3 30 3 3 NAKURU EAST 1 67,180 1 2,401 5 7,447 5 6,904 2 5,477 1 4,129 6 2 3 7 6 66 5 7 Male 7 9,609 6 ,267 2 7,038 2 7,538 1 0,637 7 ,684 2 4 1 8 3 71 3 2 Female 8 7,563 6 ,134 3 0,404 2 9,364 1 4,840 6 ,444 3 8 1 9 2 95 2 5 NAKURU NORTH 1 86,999 1 5,923 8 5,305 5 9,588 1 7,205 8 ,278 1 29 4 5 06 6 1 Male 9 1,722 8 ,102 4 1,877 2 8,974 7 ,524 4 ,879 4 5 1 2 86 3 4 Female 9 5,263 7 ,820 4 3,421 3 0,609 9 ,680 3 ,399 8 4 3 2 20 2 7 NAKURU WEST 1 67,901 1 3,476 6 4,886 6 1,362 1 8,423 9 ,132 5 4 2 4 5 38 6 Male 8 5,621 6 ,798 3 2,454 3 2,114 8 ,614 5 ,281 1 9 1 2 3 26 3 Female 8 2,272 6 ,677 3 2,431 2 9,244 9 ,807 3 ,851 3 5 1 2 2 12 3 NJORO 2 01,002 2 1,710 1 15,354 4 8,720 8 ,503 6 ,160 1 17 7 4 07 2 4 Male 1 00,999 1 1,077 5 7,107 2 4,543 4 ,196 3 ,817 4 4 1 2 05 9 Female 1 00,000 1 0,633 5 8,246 2 4,176 4 ,307 2 ,342 7 3 6 2 02 1 5 RONGAI 1 67,895 1 5,226 8 0,640 4 8,468 1 3,504 9 ,495 1 47 4 3 88 2 3 Male 8 4,779 7 ,975 4 0,365 2 4,555 6 ,259 5 ,319 6 7 1 2 27 1 1 Female 8 3,112 7 ,250 4 0,273 2 3,913 7 ,244 4 ,176 8 0 3 1 61 1 2 94

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 108

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) SUBUKIA 7 1,693 6 ,389 4 0,837 1 9,632 3 ,162 1 ,427 9 0 6 1 25 2 5 Male 3 6,019 3 ,304 2 0,219 9 ,841 1 ,628 9 04 3 3 4 7 4 1 2 Female 3 5,673 3 ,085 2 0,617 9 ,791 1 ,534 5 23 5 7 2 5 1 1 3 NAROK 7 50,610 1 16,862 4 38,274 1 45,297 3 2,210 1 4,935 7 66 4 6 2 ,034 1 86 Male 3 85,487 5 9,248 2 18,490 7 9,386 1 7,001 9 ,661 4 15 3 1 1 ,145 1 10 Female 3 65,113 5 7,612 2 19,781 6 5,908 1 5,208 5 ,273 3 51 1 5 8 89 7 6 NAROK EAST 6 9,566 1 0,853 4 0,839 1 3,808 2 ,709 9 98 4 6 - 3 06 7 Male 3 6,269 5 ,596 2 0,786 7 ,539 1 ,456 7 12 1 9 - 1 57 4 Female 3 3,297 5 ,257 2 0,053 6 ,269 1 ,253 2 86 2 7 - 1 49 3 NAROK NORTH 1 71,884 2 2,770 9 0,611 4 0,928 1 0,713 6 ,066 1 29 3 4 5 77 5 6 Male 8 8,857 1 1,581 4 6,203 2 1,834 5 ,139 3 ,625 7 2 2 5 3 43 3 5 Female 8 3,021 1 1,187 4 4,407 1 9,092 5 ,573 2 ,441 5 7 9 2 34 2 1 NAROK SOUTH 1 42,614 2 3,496 8 7,676 2 4,233 4 ,751 1 ,995 1 84 4 2 49 2 6 Male 7 3,278 1 1,915 4 3,719 1 3,454 2 ,579 1 ,344 1 14 2 1 36 1 5 Female 6 9,335 1 1,581 4 3,957 1 0,778 2 ,172 6 51 7 0 2 1 13 1 1 NAROK WEST 1 07,281 1 8,504 6 5,510 1 7,319 3 ,819 1 ,716 9 6 1 2 82 3 4 Male 5 5,867 9 ,438 3 3,060 9 ,775 2 ,166 1 ,196 5 1 - 1 59 2 2 Female 5 1,413 9 ,066 3 2,450 7 ,544 1 ,653 5 19 4 5 1 1 23 1 2 TRANS MARA EAST 8 3,904 1 2,981 5 3,926 1 2,572 2 ,802 1 ,287 1 49 6 1 63 1 8 Male 4 1,905 6 ,528 2 5,865 6 ,866 1 ,575 8 87 7 0 3 1 00 1 1 Female 4 1,998 6 ,453 2 8,060 5 ,706 1 ,227 4 00 7 9 3 6 3 7 TRANS MARA WEST 1 75,329 2 8,258 9 9,711 3 6,415 7 ,409 2 ,871 1 62 1 4 57 4 5 Male 8 9,283 1 4,190 4 8,856 1 9,899 4 ,079 1 ,896 8 9 1 2 50 2 3 Female 8 6,045 1 4,068 5 0,854 1 6,516 3 ,330 9 75 7 3 - 2 07 2 2 MAU FOREST 3 2 - 1 2 2 7 2 - - - - Male 2 8 - 1 1 9 7 1 - - - - Female 4 - - 3 - 1 - - - - KAJIADO 8 20,583 8 8,617 3 43,940 2 37,996 8 7,715 5 7,461 6 48 1 22 3 ,755 3 29 Male 4 14,248 4 5,066 1 71,216 1 21,045 4 1,582 3 2,653 3 03 5 6 2 ,187 1 40 Female 4 06,310 4 3,549 1 72,713 1 16,946 4 6,130 2 4,804 3 45 6 6 1 ,568 1 89 ISINYA 1 75,419 1 4,623 5 8,753 6 2,569 2 3,563 1 4,237 1 17 9 1 ,382 1 66 Male 8 7,444 7 ,310 2 8,997 3 1,175 1 0,995 8 ,062 5 3 6 7 75 7 1 Female 8 7,970 7 ,313 2 9,754 3 1,392 1 2,568 6 ,174 6 4 3 6 07 9 5 KAJIADO CENTRAL 1 00,957 1 6,044 5 0,660 2 3,628 7 ,145 2 ,804 1 12 7 6 4 76 1 2 Male 5 2,946 8 ,151 2 5,945 1 2,944 3 ,773 1 ,757 6 0 3 1 2 84 1 Female 4 8,010 7 ,893 2 4,714 1 0,684 3 ,372 1 ,047 5 2 4 5 1 92 1 1 KAJIADO NORTH 2 69,219 1 9,804 9 0,465 8 5,633 3 9,009 3 2,968 1 22 2 8 1 ,107 8 3 Male 1 31,968 9 ,941 4 3,610 4 1,972 1 7,487 1 8,208 5 3 1 2 6 48 3 7 Female 1 37,240 9 ,863 4 6,851 4 3,660 2 1,519 1 4,757 6 9 1 6 4 59 4 6 95

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 109

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) KAJIADO WEST 1 10,635 1 5,885 5 3,350 2 8,077 8 ,559 4 ,284 8 9 1 3 49 4 1 Male 5 7,365 8 ,195 2 7,012 1 4,998 4 ,275 2 ,602 4 6 1 2 20 1 6 Female 5 3,266 7 ,690 2 6,335 1 3,078 4 ,284 1 ,682 4 3 - 1 29 2 5 LOITOKITOK 1 17,737 1 6,673 6 7,993 2 4,784 5 ,900 1 ,930 1 40 4 2 90 2 3 Male 6 0,277 8 ,572 3 3,974 1 3,009 3 ,194 1 ,277 5 6 4 1 77 1 4 Female 5 7,457 8 ,100 3 4,018 1 1,774 2 ,706 6 53 8 4 - 1 13 9 MASHUURU 4 6,616 5 ,588 2 2,719 1 3,305 3 ,539 1 ,238 6 8 4 1 51 4 Male 2 4,248 2 ,897 1 1,678 6 ,947 1 ,858 7 47 3 5 2 8 3 1 Female 2 2,367 2 ,690 1 1,041 6 ,358 1 ,681 4 91 3 3 2 6 8 3 KERICHO 7 61,280 7 0,704 4 10,824 1 96,189 5 3,574 2 7,677 5 95 3 9 1 ,458 2 20 Male 3 83,958 3 5,928 2 02,068 1 01,496 2 7,042 1 6,158 2 77 1 9 8 60 1 10 Female 3 77,298 3 4,774 2 08,741 9 4,687 2 6,531 1 1,519 3 18 2 0 5 98 1 10 BELGUT 1 26,487 9 ,369 6 6,008 3 5,214 1 0,321 5 ,305 6 0 1 1 95 1 4 Male 6 3,851 4 ,765 3 2,345 1 8,334 5 ,291 2 ,973 2 9 - 1 06 8 Female 6 2,636 4 ,604 3 3,663 1 6,880 5 ,030 2 ,332 3 1 1 8 9 6 BURETI 1 70,168 1 5,500 8 7,962 4 7,182 1 2,514 6 ,511 1 24 8 3 50 1 7 Male 8 4,965 7 ,824 4 2,976 2 3,746 6 ,315 3 ,821 5 1 2 2 21 9 Female 8 5,199 7 ,676 4 4,982 2 3,436 6 ,199 2 ,690 7 3 6 1 29 8 KERICHO EAST 1 44,922 1 1,982 7 2,304 3 9,642 1 2,822 7 ,681 1 36 1 4 2 69 7 2 Male 7 3,884 6 ,106 3 6,215 2 0,741 6 ,151 4 ,420 5 9 9 1 47 3 6 Female 7 1,032 5 ,876 3 6,084 1 8,900 6 ,671 3 ,261 7 7 5 1 22 3 6 KIPKELION 9 9,231 1 2,523 5 7,641 2 1,900 4 ,611 2 ,158 7 6 6 2 53 6 3 Male 5 0,186 6 ,312 2 8,303 1 1,502 2 ,465 1 ,382 4 0 4 1 44 3 4 Female 4 9,042 6 ,211 2 9,337 1 0,396 2 ,146 7 76 3 6 2 1 09 2 9 LONDIANI 1 15,539 1 1,071 6 5,044 2 9,264 6 ,653 3 ,172 1 14 2 1 84 3 5 Male 5 8,013 5 ,593 3 2,001 1 5,035 3 ,319 1 ,877 5 0 1 1 22 1 5 Female 5 7,516 5 ,476 3 3,038 1 4,226 3 ,334 1 ,295 6 4 1 6 2 2 0 SOIN SIGOWET 1 04,933 1 0,259 6 1,865 2 2,987 6 ,653 2 ,850 8 5 8 2 07 1 9 Male 5 3,059 5 ,328 3 0,228 1 2,138 3 ,501 1 ,685 4 8 3 1 20 8 Female 5 1,873 4 ,931 3 1,637 1 0,849 3 ,151 1 ,165 3 7 5 8 7 1 1 BOMET 7 30,765 7 1,308 4 14,383 1 71,667 4 7,835 2 3,397 5 29 3 1 1 ,539 7 6 Male 3 67,044 3 6,545 1 99,916 9 0,261 2 4,831 1 4,290 2 42 1 2 9 06 4 1 Female 3 63,704 3 4,761 2 14,454 8 1,405 2 3,003 9 ,107 2 87 1 9 6 33 3 5 BOMET EAST 1 16,913 1 2,433 7 0,478 2 4,170 6 ,459 2 ,948 7 2 6 3 22 2 5 Male 5 8,544 6 ,467 3 3,547 1 2,986 3 ,383 1 ,928 3 9 3 1 77 1 4 Female 5 8,364 5 ,965 3 6,927 1 1,184 3 ,076 1 ,020 3 3 3 1 45 1 1 CHEPALUNGU 1 34,977 1 4,101 8 2,501 2 6,961 7 ,371 3 ,700 9 4 2 2 39 8 Male 6 6,615 7 ,136 3 8,734 1 4,288 3 ,898 2 ,357 4 8 2 1 48 4 Female 6 8,359 6 ,965 4 3,764 1 2,673 3 ,473 1 ,343 4 6 - 9 1 4 96

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 110

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) KONOIN 1 39,219 1 3,098 7 6,581 3 5,696 8 ,975 4 ,427 1 36 3 2 91 1 2 Male 7 1,443 6 ,785 3 8,136 1 8,895 4 ,712 2 ,681 5 4 3 1 69 8 Female 6 7,773 6 ,313 3 8,442 1 6,801 4 ,263 1 ,746 8 2 - 1 22 4 SOTIK 1 91,969 1 8,622 1 04,729 4 7,731 1 3,510 6 ,818 1 58 1 5 3 74 1 2 Male 9 5,879 9 ,491 5 0,501 2 4,508 6 ,947 4 ,122 6 7 4 2 34 5 Female 9 6,087 9 ,130 5 4,227 2 3,222 6 ,563 2 ,696 9 1 1 1 1 40 7 BOMET CENTRAL 1 47,687 1 3,054 8 0,094 3 7,109 1 1,520 5 ,504 6 9 5 3 13 1 9 Male 7 4,563 6 ,666 3 8,998 1 9,584 5 ,891 3 ,202 3 4 - 1 78 1 0 Female 7 3,121 6 ,388 4 1,094 1 7,525 5 ,628 2 ,302 3 5 5 1 35 9 KAKAMEGA 1 ,540,079 1 70,737 8 92,772 3 54,957 7 6,987 3 9,095 1 ,693 6 6 3 ,392 3 80 Male 7 48,263 8 6,787 4 31,754 1 66,014 3 7,356 2 3,343 8 65 3 8 1 ,937 1 69 Female 7 91,786 8 3,944 4 60,999 1 88,941 3 9,629 1 5,752 8 28 2 8 1 ,454 2 11 BUTERE 1 25,735 1 4,775 7 6,588 2 6,572 5 ,239 2 ,173 1 47 1 1 2 18 1 2 Male 6 1,302 7 ,497 3 7,014 1 2,522 2 ,696 1 ,350 8 6 7 1 24 6 Female 6 4,431 7 ,278 3 9,572 1 4,050 2 ,543 8 23 6 1 4 9 4 6 KAKAMEGA CENTRAL 1 60,124 1 5,235 7 4,844 4 1,487 1 5,015 1 2,889 1 49 5 4 58 4 2 Male 7 8,850 7 ,791 3 6,871 1 9,705 6 ,862 7 ,250 7 3 4 2 78 1 6 Female 8 1,272 7 ,443 3 7,972 2 1,782 8 ,153 5 ,639 7 6 1 1 80 2 6 KAKAMEGA EAST 1 37,680 1 4,486 8 4,022 2 9,682 6 ,529 2 ,384 1 25 5 2 88 1 59 Male 6 7,017 7 ,498 4 0,872 1 3,627 3 ,301 1 ,413 6 1 3 1 73 6 9 Female 7 0,660 6 ,988 4 3,149 1 6,054 3 ,227 9 71 6 4 2 1 15 9 0 KAKAMEGA NORTH 2 00,695 2 3,852 1 14,594 4 8,288 9 ,683 3 ,609 2 23 6 3 96 4 4 Male 9 7,982 1 2,020 5 5,831 2 2,772 4 ,787 2 ,204 1 18 5 2 25 2 0 Female 1 02,708 1 1,830 5 8,760 2 5,516 4 ,896 1 ,405 1 05 1 1 71 2 4 KAKAMEGA SOUTH 9 2,328 9 ,883 5 5,009 2 0,635 4 ,788 1 ,722 9 3 1 1 1 70 1 7 Male 4 4,571 5 ,094 2 6,511 9 ,422 2 ,340 1 ,044 4 9 6 9 6 9 Female 4 7,757 4 ,789 2 8,498 1 1,213 2 ,448 6 78 4 4 5 7 4 8 KHWISERO 9 4,315 9 ,668 5 9,356 2 0,144 3 ,409 1 ,440 1 33 4 1 51 1 0 Male 4 5,348 4 ,913 2 8,430 9 ,157 1 ,763 9 35 6 3 1 8 2 4 Female 4 8,964 4 ,754 3 0,924 1 0,987 1 ,646 5 05 7 0 3 6 9 6 LIKUYANI 1 26,184 1 3,360 6 9,241 3 3,791 6 ,013 3 ,033 2 65 3 4 64 1 4 Male 6 1,457 6 ,769 3 3,904 1 5,753 2 ,837 1 ,804 1 26 - 2 54 1 0 Female 6 4,725 6 ,591 3 5,336 1 8,038 3 ,175 1 ,229 1 39 3 2 10 4 LUGARI 1 03,752 1 0,551 5 7,008 2 8,265 5 ,438 2 ,088 1 53 3 2 39 7 Male 5 0,314 5 ,297 2 7,827 1 3,183 2 ,562 1 ,228 6 9 1 1 44 3 Female 5 3,438 5 ,254 2 9,181 1 5,082 2 ,876 8 60 8 4 2 9 5 4 MATETE 5 3,800 5 ,985 3 1,161 1 3,232 2 ,340 9 01 3 7 1 1 43 - Male 2 6,058 3 ,060 1 5,091 6 ,096 1 ,141 5 68 1 8 - 8 4 - Female 2 7,742 2 ,925 1 6,070 7 ,136 1 ,199 3 33 1 9 1 5 9 - 97

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 111

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) MATUNGU 1 29,809 1 5,960 8 1,579 2 5,445 4 ,415 2 ,069 6 5 6 2 49 2 1 Male 6 2,646 8 ,045 3 8,920 1 2,033 2 ,127 1 ,331 3 5 6 1 38 1 1 Female 6 7,160 7 ,914 4 2,657 1 3,412 2 ,288 7 38 3 0 - 1 11 1 0 MUMIAS EAST 9 5,765 1 1,045 5 7,663 2 0,068 4 ,471 2 ,239 8 9 2 1 83 5 Male 4 6,604 5 ,652 2 7,686 9 ,496 2 ,204 1 ,418 4 9 1 9 6 2 Female 4 9,158 5 ,393 2 9,974 1 0,572 2 ,267 8 21 4 0 1 8 7 3 MUMIAS WEST 9 3,820 1 1,028 5 4,039 2 1,043 4 ,733 2 ,687 8 8 7 1 68 2 7 Male 4 5,482 5 ,621 2 5,884 1 0,046 2 ,195 1 ,587 4 6 4 8 8 1 1 Female 4 8,337 5 ,407 2 8,154 1 0,997 2 ,538 1 ,100 4 2 3 8 0 1 6 NAVAKHOLO 1 26,072 1 4,909 7 7,668 2 6,305 4 ,914 1 ,861 1 26 2 2 65 2 2 Male 6 0,632 7 ,530 3 6,913 1 2,202 2 ,541 1 ,211 7 2 - 1 55 8 Female 6 5,434 7 ,378 4 0,752 1 4,102 2 ,373 6 50 5 4 2 1 09 1 4 VIHIGA 5 02,269 4 8,295 2 90,517 1 22,310 2 7,248 1 1,873 6 80 3 2 1 ,219 9 5 Male 2 43,452 2 4,362 1 40,597 5 6,956 1 3,357 7 ,162 2 60 1 7 6 89 5 2 Female 2 58,808 2 3,932 1 49,915 6 5,353 1 3,889 4 ,711 4 20 1 5 5 30 4 3 EMUHAYA 8 1,673 8 ,675 5 0,031 1 7,847 3 ,451 1 ,384 7 3 2 1 92 1 8 Male 3 9,406 4 ,413 2 4,051 8 ,161 1 ,761 8 68 3 5 1 1 06 1 0 Female 4 2,266 4 ,262 2 5,979 9 ,686 1 ,690 5 16 3 8 1 8 6 8 VIHIGA 8 2,039 7 ,295 4 5,160 2 1,673 5 ,347 2 ,208 1 21 5 2 04 2 6 Male 3 9,569 3 ,712 2 1,674 1 0,086 2 ,599 1 ,331 4 3 2 1 05 1 7 Female 4 2,468 3 ,583 2 3,485 1 1,587 2 ,747 8 77 7 8 3 9 9 9 SABATIA 1 13,939 9 ,478 6 4,110 2 9,904 6 ,981 3 ,025 1 51 1 0 2 65 1 5 Male 5 4,898 4 ,748 3 0,758 1 4,039 3 ,350 1 ,787 4 7 3 1 60 6 Female 5 9,040 4 ,729 3 3,352 1 5,865 3 ,631 1 ,238 1 04 7 1 05 9 LUANDA 8 9,866 9 ,852 5 1,672 2 1,129 4 ,720 2 ,144 1 11 4 2 07 2 7 Male 4 3,850 4 ,962 2 5,165 9 ,854 2 ,377 1 ,303 4 6 4 1 25 1 4 Female 4 6,014 4 ,890 2 6,506 1 1,274 2 ,343 8 41 6 5 - 8 2 1 3 HAMISI 1 34,736 1 2,995 7 9,542 3 1,746 6 ,746 3 ,112 2 24 1 1 3 51 9 Male 6 5,717 6 ,527 3 8,948 1 4,807 3 ,268 1 ,873 8 9 7 1 93 5 Female 6 9,016 6 ,468 4 0,592 1 6,939 3 ,477 1 ,239 1 35 4 1 58 4 KAKAMEGA FOREST 1 6 - 2 1 1 3 - - - - - Male 1 2 - 1 9 2 - - - - - Female 4 - 1 2 1 - - - - - BUNGOMA 1 ,371,156 1 53,039 7 50,369 3 51,354 7 6,018 3 5,503 1 ,308 5 3 3 ,372 1 40 Male 6 70,362 7 7,134 3 61,719 1 69,717 3 7,369 2 1,776 6 30 2 8 1 ,915 7 4 Female 7 00,766 7 5,901 3 88,635 1 81,629 3 8,648 1 3,727 6 78 2 5 1 ,457 6 6 BUMULA 1 72,337 2 0,821 1 04,682 3 6,853 6 ,993 2 ,512 1 52 1 2 3 10 2 Male 8 3,438 1 0,378 4 9,936 1 7,631 3 ,575 1 ,640 8 9 5 1 82 2 Female 8 8,898 1 0,443 5 4,745 1 9,222 3 ,418 8 72 6 3 7 1 28 - 98

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 112

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) BUNGOMA CENTRAL 1 47,962 1 6,044 8 0,131 3 9,570 8 ,338 3 ,118 1 22 7 6 28 4 Male 7 2,091 8 ,086 3 8,477 1 8,794 4 ,259 2 ,078 5 7 3 3 34 3 Female 7 5,866 7 ,958 4 1,652 2 0,774 4 ,078 1 ,040 6 5 4 2 94 1 BUNGOMA EAST 9 7,994 1 0,884 5 1,264 2 7,493 5 ,526 2 ,475 6 9 3 2 58 2 2 Male 4 7,819 5 ,479 2 4,880 1 3,160 2 ,640 1 ,463 3 1 2 1 53 1 1 Female 5 0,173 5 ,405 2 6,384 1 4,331 2 ,886 1 ,012 3 8 1 1 05 1 1 BUNGOMA NORTH 1 02,879 1 0,241 5 5,551 2 8,452 5 ,792 2 ,562 7 9 1 1 87 1 4 Male 4 9,950 5 ,250 2 6,826 1 3,267 2 ,859 1 ,602 2 7 - 1 12 7 Female 5 2,928 4 ,991 2 8,725 1 5,184 2 ,933 9 60 5 2 1 7 5 7 BUNGOMA SOUTH 2 32,497 2 5,456 1 11,125 6 3,558 1 9,049 1 2,311 2 84 4 6 96 1 4 Male 1 13,113 1 2,706 5 3,525 3 0,303 8 ,802 7 ,232 1 46 3 3 91 5 Female 1 19,380 1 2,750 5 7,597 3 3,254 1 0,247 5 ,079 1 38 1 3 05 9 CHEPTAIS 1 07,151 1 4,457 6 5,033 2 2,660 3 ,275 1 ,301 1 04 2 3 00 1 9 Male 5 3,943 7 ,409 3 1,478 1 2,143 1 ,770 8 97 4 9 2 1 81 1 4 Female 5 3,203 7 ,046 3 3,552 1 0,517 1 ,505 4 04 5 5 - 1 19 5 KIMILILI 1 31,584 1 4,029 7 0,985 3 5,629 7 ,184 3 ,274 1 65 6 3 07 5 Male 6 3,964 6 ,984 3 4,324 1 6,890 3 ,521 1 ,989 8 2 2 1 70 2 Female 6 7,617 7 ,045 3 6,658 1 8,739 3 ,663 1 ,285 8 3 4 1 37 3 MT. ELGON 6 4,470 7 ,142 3 6,928 1 5,907 2 ,954 1 ,437 3 9 - 5 8 5 Male 3 2,347 3 ,602 1 7,975 8 ,327 1 ,473 9 15 1 9 - 3 3 3 Female 3 2,120 3 ,539 1 8,951 7 ,580 1 ,481 5 22 2 0 - 2 5 2 BUNGOMA WEST 9 8,358 1 1,133 5 7,475 2 3,298 4 ,587 1 ,470 1 27 1 2 36 3 1 Male 4 8,203 5 ,651 2 7,583 1 1,407 2 ,389 9 70 5 9 - 1 30 1 4 Female 5 0,154 5 ,482 2 9,892 1 1,890 2 ,198 5 00 6 8 1 1 06 1 7 TONGAREN 8 3,916 8 ,599 4 5,821 2 3,107 4 ,446 1 ,690 9 8 1 3 1 26 1 6 Male 4 0,937 4 ,328 2 2,288 1 0,889 2 ,262 1 ,048 4 0 7 6 7 8 Female 4 2,978 4 ,271 2 3,533 1 2,217 2 ,184 6 42 5 8 6 5 9 8 WEBUYE WEST 1 29,406 1 3,886 6 9,538 3 4,448 7 ,852 3 ,340 6 7 4 2 63 8 Male 6 3,162 7 ,077 3 3,463 1 6,682 3 ,806 1 ,934 3 0 4 1 61 5 Female 6 6,242 6 ,808 3 6,074 1 7,766 4 ,046 1 ,406 3 7 - 1 02 3 MT. ELGON FOREST 2 ,602 3 47 1 ,836 3 79 2 2 1 3 2 - 3 - Male 1 ,395 1 84 9 64 2 24 1 3 8 1 - 1 - Female 1 ,207 1 63 8 72 1 55 9 5 1 - 2 - BUSIA 7 12,283 8 5,338 4 17,541 1 59,918 3 2,418 1 4,890 6 73 4 5 1 ,386 7 4 Male 3 46,688 4 2,256 1 97,870 7 9,956 1 6,157 9 ,222 3 56 2 5 8 11 3 5 Female 3 65,573 4 3,078 2 19,655 7 9,961 1 6,260 5 ,668 3 17 2 0 5 75 3 9 BUNYALA 6 9,899 8 ,491 4 2,370 1 4,817 2 ,759 1 ,199 6 8 1 1 88 6 Male 3 4,803 4 ,159 2 0,068 8 ,048 1 ,557 8 14 2 7 1 1 26 3 Female 3 5,095 4 ,332 2 2,301 6 ,769 1 ,202 3 85 4 1 - 6 2 3 99

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 113

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) BUSIA 1 11,961 1 1,825 6 3,297 2 7,153 6 ,253 3 ,085 6 6 5 2 39 3 8 Male 5 4,529 5 ,879 3 0,231 1 3,361 3 ,028 1 ,847 2 7 4 1 32 2 0 Female 5 7,431 5 ,946 3 3,065 1 3,792 3 ,225 1 ,238 3 9 1 1 07 1 8 BUTULA 1 08,839 1 3,995 6 6,703 2 2,016 3 ,857 1 ,888 1 66 7 2 04 3 Male 5 1,941 6 ,864 3 1,265 1 0,477 1 ,894 1 ,231 9 6 3 1 09 2 Female 5 6,896 7 ,131 3 5,437 1 1,539 1 ,962 6 57 7 0 4 9 5 1 NAMBALE 8 9,790 9 ,477 5 4,382 1 9,663 3 ,978 2 ,011 5 5 1 2 2 03 9 Male 4 3,172 4 ,651 2 5,899 9 ,358 1 ,878 1 ,225 2 7 6 1 25 3 Female 4 6,615 4 ,826 2 8,480 1 0,305 2 ,100 7 86 2 8 6 7 8 6 SAMIA 8 5,399 1 0,935 5 0,303 1 8,819 3 ,520 1 ,552 1 09 9 1 52 - Male 4 1,813 5 ,316 2 3,654 9 ,800 1 ,881 1 ,010 6 3 5 8 4 - Female 4 3,574 5 ,616 2 6,640 9 ,019 1 ,639 5 42 4 6 4 6 8 - TESO NORTH 1 13,783 1 3,084 6 4,126 2 8,616 5 ,527 2 ,165 8 6 3 1 72 4 Male 5 5,450 6 ,585 3 0,268 1 4,427 2 ,689 1 ,327 4 4 2 1 06 2 Female 5 8,332 6 ,498 3 3,858 1 4,189 2 ,838 8 38 4 2 1 6 6 2 TESO SOUTH 1 32,612 1 7,531 7 6,360 2 8,834 6 ,524 2 ,990 1 23 8 2 28 1 4 Male 6 4,980 8 ,802 3 6,485 1 4,485 3 ,230 1 ,768 7 2 4 1 29 5 Female 6 7,630 8 ,729 3 9,874 1 4,348 3 ,294 1 ,222 5 1 4 9 9 9 SIAYA 8 24,640 9 2,182 4 95,382 1 79,463 3 5,160 1 9,366 6 15 3 8 2 ,112 3 22 Male 3 99,523 4 6,432 2 33,541 8 7,484 1 7,916 1 2,445 2 80 2 1 1 ,241 1 63 Female 4 25,101 4 5,748 2 61,832 9 1,977 1 7,242 6 ,921 3 35 1 7 8 70 1 59 SIAYA 1 83,103 2 0,426 1 10,970 3 8,108 8 ,335 4 ,522 1 54 7 4 71 1 10 Male 8 8,402 1 0,351 5 2,287 1 8,434 4 ,064 2 ,848 7 5 4 2 82 5 7 Female 9 4,697 1 0,075 5 8,682 1 9,672 4 ,271 1 ,674 7 9 3 1 88 5 3 GEM 1 50,388 1 5,847 9 4,278 3 1,086 5 ,812 2 ,952 8 3 7 2 52 7 1 Male 7 3,231 8 ,117 4 4,964 1 5,020 2 ,979 1 ,921 3 2 1 1 60 3 7 Female 7 7,154 7 ,728 4 9,313 1 6,066 2 ,833 1 ,031 5 1 6 9 2 3 4 UGENYA 1 08,513 1 2,331 6 8,070 2 2,327 3 ,459 2 ,010 8 2 6 2 17 1 1 Male 5 2,294 6 ,256 3 1,944 1 0,824 1 ,763 1 ,321 4 0 3 1 36 7 Female 5 6,215 6 ,075 3 6,124 1 1,503 1 ,694 6 89 4 2 3 8 1 4 UGUNJA 8 6,090 9 ,775 5 1,327 1 9,182 3 ,579 1 ,877 9 9 5 2 39 7 Male 4 1,391 4 ,810 2 4,008 9 ,394 1 ,819 1 ,180 4 1 2 1 33 4 Female 4 4,699 4 ,965 2 7,319 9 ,788 1 ,760 6 97 5 8 3 1 06 3 BONDO 1 67,724 1 8,556 9 5,914 3 8,673 8 ,408 5 ,489 9 7 7 5 19 6 1 Male 8 1,899 9 ,332 4 5,369 1 9,002 4 ,308 3 ,511 4 4 7 2 96 3 0 Female 8 5,822 9 ,224 5 0,542 1 9,671 4 ,100 1 ,978 5 3 - 2 23 3 1 RARIEDA 1 28,822 1 5,247 7 4,823 3 0,087 5 ,567 2 ,516 1 00 6 4 14 6 2 Male 6 2,306 7 ,566 3 4,969 1 4,810 2 ,983 1 ,664 4 8 4 2 34 2 8 Female 6 6,514 7 ,681 3 9,852 1 5,277 2 ,584 8 52 5 2 2 1 80 3 4 100

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 114

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) KISUMU 9 78,105 1 04,468 4 92,849 2 58,761 7 3,246 4 5,701 7 41 4 8 1 ,989 3 02 Male 4 78,889 5 2,242 2 34,090 1 27,868 3 6,108 2 6,912 3 65 2 8 1 ,128 1 48 Female 4 99,198 5 2,226 2 58,748 1 30,889 3 7,137 1 8,787 3 76 2 0 8 61 1 54 KISUMU EAST 1 89,994 1 9,330 8 6,380 5 5,897 1 8,247 9 ,655 1 09 8 2 99 6 9 Male 9 3,726 9 ,699 4 1,279 2 7,879 8 ,981 5 ,628 5 1 6 1 74 2 9 Female 9 6,264 9 ,631 4 5,099 2 8,016 9 ,266 4 ,027 5 8 2 1 25 4 0 KISUMU CENTRAL 1 51,206 1 2,008 5 4,297 4 7,862 2 1,165 1 5,289 6 2 1 6 4 47 6 0 Male 7 2,527 5 ,903 2 5,271 2 3,088 9 ,602 8 ,347 3 4 9 2 44 2 9 Female 7 8,675 6 ,105 2 9,025 2 4,773 1 1,562 6 ,941 2 8 7 2 03 3 1 KISUMU WEST 1 45,629 1 5,071 7 3,675 3 7,461 1 0,145 8 ,863 1 12 5 2 57 4 0 Male 7 2,142 7 ,550 3 5,338 1 8,619 5 ,114 5 ,280 5 9 2 1 59 2 1 Female 7 3,484 7 ,521 3 8,334 1 8,842 5 ,031 3 ,583 5 3 3 9 8 1 9 SEME 1 01,033 1 2,149 5 9,868 2 2,793 3 ,973 1 ,951 1 41 7 1 39 1 2 Male 4 8,927 6 ,025 2 8,194 1 1,217 2 ,066 1 ,275 6 2 3 7 9 6 Female 5 2,105 6 ,124 3 1,674 1 1,576 1 ,907 6 75 7 9 4 6 0 6 MUHORONI 1 27,218 1 5,748 7 3,123 2 9,187 5 ,957 2 ,723 1 28 5 3 15 3 2 Male 6 4,017 7 ,948 3 5,629 1 5,076 3 ,331 1 ,771 6 4 4 1 76 1 8 Female 6 3,200 7 ,800 3 7,493 1 4,111 2 ,626 9 52 6 4 1 1 39 1 4 NYANDO 1 35,494 1 5,552 7 5,743 3 3,054 7 ,119 3 ,636 1 09 5 2 34 4 2 Male 6 5,799 7 ,879 3 5,819 1 6,045 3 ,555 2 ,292 5 7 3 1 28 2 1 Female 6 9,691 7 ,673 3 9,921 1 7,008 3 ,564 1 ,344 5 2 2 1 06 2 1 NYAKACH 1 27,531 1 4,610 6 9,763 3 2,507 6 ,640 3 ,584 8 0 2 2 98 4 7 Male 6 1,751 7 ,238 3 2,560 1 5,944 3 ,459 2 ,319 3 8 1 1 68 2 4 Female 6 5,779 7 ,372 3 7,202 1 6,563 3 ,181 1 ,265 4 2 1 1 30 2 3 HOMA BAY 9 36,435 1 27,940 5 25,610 2 11,337 4 4,943 2 3,788 8 72 2 6 1 ,838 8 1 Male 4 53,351 6 3,987 2 42,523 1 06,003 2 3,648 1 5,777 3 53 1 2 1 ,008 4 0 Female 4 83,068 6 3,951 2 83,080 1 05,328 2 1,294 8 ,011 5 19 1 4 8 30 4 1 HOMA BAY 9 8,476 1 1,819 4 9,065 2 5,486 7 ,124 4 ,617 1 14 3 2 36 1 2 Male 4 7,031 5 ,940 2 2,296 1 2,355 3 ,415 2 ,844 4 3 1 1 31 6 Female 5 1,444 5 ,879 2 6,769 1 3,131 3 ,708 1 ,773 7 1 2 1 05 6 NDHIWA 1 76,801 2 7,315 1 07,039 3 3,473 5 ,858 2 ,771 8 6 6 2 41 1 2 Male 8 5,665 1 3,654 4 9,302 1 7,317 3 ,260 1 ,947 3 5 3 1 41 6 Female 9 1,131 1 3,659 5 7,735 1 6,155 2 ,598 8 24 5 1 3 1 00 6 RACHUONYO NORTH 1 50,440 1 9,541 8 3,328 3 5,713 7 ,704 3 ,655 1 99 5 2 76 1 9 Male 7 3,047 9 ,689 3 8,525 1 7,916 4 ,192 2 ,494 8 1 3 1 37 1 0 Female 7 7,390 9 ,852 4 4,802 1 7,795 3 ,512 1 ,161 1 18 2 1 39 9 RACHUONYO EAST 1 02,181 1 2,778 5 8,115 2 3,751 4 ,638 2 ,553 1 03 1 2 40 2 Male 4 9,324 6 ,410 2 7,085 1 1,498 2 ,439 1 ,694 5 2 1 1 44 1 Female 5 2,855 6 ,368 3 1,030 1 2,251 2 ,199 8 59 5 1 - 9 6 1 101

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 115

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) RACHUONYO SOUTH 1 10,893 1 4,049 5 9,185 2 7,274 6 ,357 3 ,722 7 4 2 2 28 2 Male 5 2,889 6 ,999 2 7,264 1 2,989 3 ,110 2 ,373 2 7 - 1 26 1 Female 5 8,004 7 ,050 3 1,921 1 4,285 3 ,247 1 ,349 4 7 2 1 02 1 RANGWE 9 5,975 1 3,521 5 5,723 2 0,001 4 ,288 2 ,111 6 9 4 2 44 1 4 Male 4 6,029 6 ,949 2 5,582 9 ,672 2 ,229 1 ,440 3 1 1 1 20 5 Female 4 9,944 6 ,572 3 0,139 1 0,329 2 ,059 6 71 3 8 3 1 24 9 SUBA NORTH 1 03,926 1 4,217 5 6,542 2 4,710 5 ,438 2 ,701 1 10 2 2 01 5 Male 5 1,090 7 ,042 2 6,158 1 2,969 2 ,926 1 ,833 3 8 1 1 20 3 Female 5 2,835 7 ,175 3 0,384 1 1,740 2 ,512 8 68 7 2 1 8 1 2 SUBA SOUTH 9 7,743 1 4,700 5 6,613 2 0,929 3 ,536 1 ,658 1 17 3 1 72 1 5 Male 4 8,276 7 ,304 2 6,311 1 1,287 2 ,077 1 ,152 4 6 2 8 9 8 Female 4 9,465 7 ,396 3 0,300 9 ,642 1 ,459 5 06 7 1 1 8 3 7 MIGORI 8 91,943 1 24,155 5 18,068 1 87,095 3 7,775 2 1,934 8 13 7 1 1 ,820 2 12 Male 4 35,319 6 1,874 2 41,778 9 6,021 1 9,808 1 4,318 3 90 3 0 1 ,005 9 5 Female 4 56,604 6 2,277 2 76,278 9 1,072 1 7,966 7 ,616 4 22 4 1 8 15 1 17 AWENDO 9 9,605 1 2,796 5 6,503 2 2,584 4 ,752 2 ,685 7 0 9 1 77 2 9 Male 4 8,515 6 ,441 2 6,122 1 1,455 2 ,583 1 ,768 3 7 4 9 2 1 3 Female 5 1,088 6 ,355 3 0,379 1 1,129 2 ,169 9 17 3 3 5 8 5 1 6 KURIA EAST 6 8,210 9 ,318 4 2,784 1 2,704 2 ,030 1 ,147 7 0 - 1 28 2 9 Male 3 4,174 4 ,729 2 0,434 6 ,961 1 ,119 8 16 3 3 - 7 1 1 1 Female 3 4,033 4 ,588 2 2,349 5 ,742 9 11 3 31 3 7 - 5 7 1 8 KURIA WEST 1 56,851 2 1,758 9 2,970 3 2,394 5 ,901 3 ,258 2 51 4 7 2 28 4 4 Male 7 7,778 1 0,766 4 4,426 1 7,210 2 ,994 2 ,105 1 22 2 1 1 19 1 5 Female 7 9,070 1 0,991 4 8,543 1 5,184 2 ,907 1 ,153 1 28 2 6 1 09 2 9 NYATIKE 1 41,989 2 1,404 8 5,569 2 7,251 4 ,783 2 ,487 8 8 6 3 74 2 7 Male 6 8,816 1 0,674 3 9,218 1 4,231 2 ,657 1 ,779 4 3 2 1 97 1 5 Female 7 3,167 1 0,730 4 6,346 1 3,020 2 ,125 7 08 4 5 4 1 77 1 2 RONGO 1 04,064 1 3,340 5 5,147 2 4,443 6 ,098 4 ,681 9 8 2 2 45 1 0 Male 5 0,212 6 ,644 2 5,539 1 1,929 3 ,030 2 ,892 3 6 2 1 38 2 Female 5 3,851 6 ,696 2 9,607 1 2,514 3 ,068 1 ,789 6 2 - 1 07 8 SUNA EAST 1 02,060 1 3,221 5 6,912 2 2,883 5 ,584 3 ,123 6 7 2 2 35 3 3 Male 4 9,404 6 ,602 2 6,412 1 1,395 2 ,849 1 ,963 3 2 - 1 32 1 9 Female 5 2,653 6 ,617 3 0,500 1 1,487 2 ,735 1 ,160 3 5 2 1 03 1 4 SUNA WEST 1 00,908 1 5,073 5 6,855 2 1,449 4 ,613 2 ,609 7 2 3 2 29 5 Male 4 8,762 7 ,487 2 6,347 1 0,735 2 ,317 1 ,696 4 2 - 1 35 3 Female 5 2,145 7 ,586 3 0,507 1 0,714 2 ,296 9 13 3 0 3 9 4 2 URIRI 1 18,256 1 7,245 7 1,328 2 3,387 4 ,014 1 ,944 9 7 2 2 04 3 5 Male 5 7,658 8 ,531 3 3,280 1 2,105 2 ,259 1 ,299 4 5 1 1 21 1 7 Female 6 0,597 8 ,714 3 8,047 1 1,282 1 ,755 6 45 5 2 1 8 3 1 8 102

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 116

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) KISII 1 ,056,594 1 22,124 5 12,421 3 22,225 6 0,044 3 6,719 1 ,123 5 5 1 ,740 1 43 Male 5 14,242 6 0,852 2 47,630 1 51,575 2 9,632 2 2,942 5 28 2 5 9 92 6 6 Female 5 42,327 6 1,272 2 64,778 1 70,640 3 0,411 1 3,776 5 95 3 0 7 48 7 7 ETAGO 6 8,186 9 ,907 3 6,284 1 8,334 2 ,201 1 ,281 7 6 4 9 4 5 Male 3 3,403 4 ,861 1 7,371 9 ,009 1 ,195 8 79 3 4 - 5 2 2 Female 3 4,781 5 ,046 1 8,912 9 ,325 1 ,006 4 01 4 2 4 4 2 3 GUCHA 6 9,387 7 ,730 3 5,303 2 0,035 3 ,694 2 ,410 5 1 7 1 35 2 2 Male 3 3,352 3 ,893 1 6,862 9 ,220 1 ,765 1 ,498 2 4 3 7 7 1 0 Female 3 6,035 3 ,837 1 8,441 1 0,815 1 ,929 9 12 2 7 4 5 8 1 2 GUCHA SOUTH 6 8,510 8 ,959 3 5,526 1 8,413 3 ,520 1 ,880 6 1 2 1 16 3 3 Male 3 3,518 4 ,473 1 7,137 8 ,866 1 ,729 1 ,197 2 7 - 7 1 1 8 Female 3 4,989 4 ,486 1 8,387 9 ,546 1 ,791 6 83 3 4 2 4 5 1 5 KENYENYA 1 09,605 1 3,838 5 3,401 3 4,734 4 ,572 2 ,761 1 60 4 1 25 1 0 Male 5 3,315 6 ,849 2 5,610 1 6,552 2 ,319 1 ,838 7 3 1 6 8 5 Female 5 6,289 6 ,989 2 7,790 1 8,182 2 ,253 9 23 8 7 3 5 7 5 KISII CENTRAL 1 41,052 1 3,236 5 9,173 4 6,828 1 2,789 8 ,687 1 11 1 0 2 08 1 0 Male 6 9,181 6 ,659 2 8,998 2 2,003 6 ,089 5 ,248 5 1 5 1 24 4 Female 7 1,869 6 ,577 3 0,174 2 4,825 6 ,699 3 ,439 6 0 5 8 4 6 KISII SOUTH 1 10,437 1 3,820 5 9,058 2 8,196 5 ,617 3 ,403 1 55 3 1 83 2 Male 5 3,984 6 ,870 2 8,805 1 3,508 2 ,627 1 ,991 7 8 1 1 02 2 Female 5 6,448 6 ,950 3 0,249 1 4,687 2 ,990 1 ,412 7 7 2 8 1 - KITUTU CENTRAL 1 31,437 1 4,314 5 9,876 3 8,295 1 1,188 7 ,363 8 6 8 2 83 2 4 Male 6 4,408 7 ,251 2 9,354 1 8,114 5 ,144 4 ,322 4 1 3 1 67 1 2 Female 6 7,024 7 ,063 3 0,522 2 0,176 6 ,044 3 ,041 4 5 5 1 16 1 2 MARANI 8 8,583 9 ,550 4 8,376 2 5,430 3 ,378 1 ,669 6 2 1 9 7 2 0 Male 4 2,683 4 ,724 2 3,072 1 1,855 1 ,815 1 ,117 3 2 1 5 9 8 Female 4 5,899 4 ,826 2 5,303 1 3,575 1 ,563 5 52 3 0 - 3 8 1 2 MASABA SOUTH 1 04,534 1 1,155 4 6,821 3 7,714 5 ,490 3 ,008 1 50 6 1 84 6 Male 5 0,501 5 ,527 2 2,576 1 7,319 2 ,899 1 ,997 7 2 3 1 05 3 Female 5 4,030 5 ,628 2 4,243 2 0,394 2 ,591 1 ,011 7 8 3 7 9 3 NYAMACHE 1 08,990 1 3,363 5 0,827 3 6,667 4 ,902 2 ,821 1 44 1 0 2 47 9 Male 5 2,911 6 ,608 2 4,612 1 6,947 2 ,624 1 ,920 6 5 8 1 26 1 Female 5 6,078 6 ,755 2 6,215 1 9,719 2 ,278 9 01 7 9 2 1 21 8 SAMETA 5 5,873 6 ,252 2 7,776 1 7,579 2 ,693 1 ,436 6 7 - 6 8 2 Male 2 6,986 3 ,137 1 3,233 8 ,182 1 ,426 9 35 3 1 - 4 1 1 Female 2 8,885 3 ,115 1 4,542 9 ,396 1 ,267 5 01 3 6 - 2 7 1 NYAMIRA 5 01,830 5 2,055 2 36,763 1 67,665 2 8,209 1 5,453 5 96 2 7 1 ,008 5 4 Male 2 45,254 2 6,279 1 15,979 7 7,998 1 4,325 9 ,815 2 74 1 3 5 50 2 1 Female 2 56,564 2 5,774 1 20,778 8 9,664 1 3,883 5 ,638 3 22 1 4 4 58 3 3 103

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 117

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) BORABU 6 1,736 5 ,638 2 6,159 2 2,206 4 ,781 2 ,771 5 1 2 1 21 7 Male 3 1,315 2 ,938 1 3,171 1 0,934 2 ,458 1 ,727 1 7 2 6 6 2 Female 3 0,421 2 ,700 1 2,988 1 1,272 2 ,323 1 ,044 3 4 - 5 5 5 MANGA 7 7,226 8 ,396 3 4,669 2 7,157 4 ,470 2 ,255 1 08 3 1 55 1 3 Male 3 7,534 4 ,185 1 6,935 1 2,592 2 ,251 1 ,432 4 7 2 8 5 5 Female 3 9,690 4 ,210 1 7,733 1 4,565 2 ,219 8 23 6 1 1 7 0 8 MASABA NORTH 9 2,363 9 ,048 4 1,945 3 3,203 5 ,120 2 ,789 1 24 6 1 21 7 Male 4 4,538 4 ,476 2 0,370 1 5,237 2 ,569 1 ,771 5 1 1 6 0 3 Female 4 7,823 4 ,571 2 1,575 1 7,965 2 ,551 1 ,018 7 3 5 6 1 4 NYAMIRA NORTH 1 37,819 1 5,528 7 0,331 4 1,669 6 ,492 3 ,287 1 91 5 3 13 3 Male 6 7,363 7 ,860 3 4,507 1 9,192 3 ,396 2 ,137 9 5 3 1 71 2 Female 7 0,451 7 ,668 3 5,821 2 2,476 3 ,095 1 ,150 9 6 2 1 42 1 NYAMIRA SOUTH 1 32,686 1 3,445 6 3,659 4 3,430 7 ,346 4 ,351 1 22 1 1 2 98 2 4 Male 6 4,504 6 ,820 3 0,996 2 0,043 3 ,651 2 ,748 6 4 5 1 68 9 Female 6 8,179 6 ,625 3 2,661 2 3,386 3 ,695 1 ,603 5 8 6 1 30 1 5 NAIROBI CITY 3 ,787,354 2 79,590 1 ,251,210 1 ,316,741 5 29,276 3 86,594 1 ,822 5 ,909 1 4,609 1 ,603 Male 1 ,884,245 1 40,097 5 97,453 6 66,752 2 52,981 2 14,171 7 75 2 ,685 8 ,525 8 06 Female 1 ,902,938 1 39,480 6 53,700 6 49,924 2 76,285 1 72,402 1 ,047 3 ,224 6 ,082 7 94 DAGORETTI 3 80,451 2 9,223 1 37,951 1 37,812 5 0,339 2 3,373 1 93 1 2 1 ,374 1 74 Male 1 90,921 1 4,600 6 6,595 7 0,921 2 4,530 1 3,249 8 5 8 8 45 8 8 Female 1 89,505 1 4,621 7 1,349 6 6,881 2 5,807 1 0,120 1 08 4 5 29 8 6 EMBAKASI 8 65,056 6 5,255 2 56,721 3 10,283 1 43,900 8 4,421 2 99 5 06 3 ,379 2 92 Male 4 31,278 3 2,746 1 21,043 1 56,714 6 9,790 4 8,491 1 37 2 14 1 ,994 1 49 Female 4 33,744 3 2,507 1 35,667 1 53,555 7 4,108 3 5,927 1 62 2 92 1 ,384 1 42 KAMUKUNJI 1 97,971 1 5,334 7 7,099 6 8,218 2 0,669 1 1,415 3 21 4 ,071 6 97 1 47 Male 1 03,126 7 ,699 3 8,091 3 7,452 1 0,381 6 ,983 1 34 1 ,870 4 42 7 4 Female 9 4,839 7 ,635 3 9,007 3 0,762 1 0,287 4 ,432 1 87 2 ,201 2 55 7 3 KASARANI 6 79,812 5 0,866 2 18,345 2 29,110 1 04,980 7 3,486 2 06 6 0 2 ,540 2 19 Male 3 29,885 2 5,599 1 02,376 1 10,505 4 7,834 4 1,848 8 1 3 2 1 ,503 1 07 Female 3 49,899 2 5,266 1 15,954 1 18,598 5 7,145 3 1,634 1 25 2 8 1 ,037 1 12 KIBRA 1 61,207 1 2,378 6 3,976 5 4,872 1 5,854 1 3,383 1 08 2 2 5 62 5 2 Male 8 1,878 6 ,186 3 1,242 2 9,252 7 ,763 7 ,036 4 2 1 1 3 22 2 4 Female 7 9,322 6 ,192 3 2,731 2 5,617 8 ,090 6 ,347 6 6 1 1 2 40 2 8 104

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 118

Table 2.4: Distribution of Population Age 3 Years and Above by Highest Level of Education Reached, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic County/ Sub-County Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) LANG’ATA 1 70,602 1 0,507 4 8,911 4 7,093 2 0,970 4 1,887 9 0 2 84 7 85 7 5 Male 8 3,232 5 ,302 2 3,373 2 3,701 9 ,175 2 1,082 4 5 1 18 4 04 3 2 Female 8 7,363 5 ,204 2 5,535 2 3,392 1 1,795 2 0,804 4 5 1 66 3 80 4 2 MAKADARA 1 69,335 1 0,997 5 1,684 6 5,407 2 6,973 1 3,595 7 6 1 9 5 42 4 2 Male 8 5,882 5 ,544 2 4,952 3 3,991 1 3,335 7 ,675 2 8 1 5 3 18 2 4 Female 8 3,446 5 ,453 2 6,728 3 1,415 1 3,636 5 ,920 4 8 4 2 24 1 8 MATHARE 1 74,560 1 4,020 7 7,562 6 1,647 1 5,579 4 ,803 6 5 6 2 7 15 1 07 Male 9 0,081 6 ,882 3 8,237 3 2,987 8 ,276 3 ,146 3 5 4 5 4 18 5 5 Female 8 4,467 7 ,137 3 9,320 2 8,654 7 ,303 1 ,657 3 0 1 7 2 97 5 2 NJIRU 5 49,682 4 3,997 1 93,425 2 04,604 7 3,612 3 1,824 1 81 2 7 1 ,772 2 40 Male 2 68,531 2 2,062 9 1,958 9 9,869 3 4,898 1 8,466 7 2 1 9 1 ,062 1 25 Female 2 81,127 2 1,931 1 01,462 1 04,721 3 8,714 1 3,358 1 09 8 7 10 1 14 STAREHE 1 67,374 1 0,414 4 9,370 5 4,985 2 3,757 2 6,847 1 55 7 94 8 94 1 58 Male 8 4,432 5 ,125 2 3,408 2 8,572 1 1,492 1 4,830 6 3 3 32 5 26 8 4 Female 8 2,934 5 ,288 2 5,961 2 6,411 1 2,265 1 2,013 9 2 4 62 3 68 7 4 WESTLANDS 2 71,304 1 6,599 7 6,166 8 2,710 3 2,643 6 1,560 1 28 5 2 1 ,349 9 7 Male 1 34,999 8 ,352 3 6,178 4 2,788 1 5,507 3 1,365 5 3 2 1 6 91 4 4 Female 1 36,292 8 ,246 3 9,986 3 9,918 1 7,135 3 0,190 7 5 3 1 6 58 5 3

• Intersex population is excluded from the table since it is too small to be distributed at sub-national level. 105

| | hed, Area of Residence, Sex, County and Sub-County |

|---|---|

| Middle Level/ Technical and Adult Basic Total* Pre-Primary Primary Secondary University Madrasa/ Duksi Don’t Know Not Stated Vocational Education Training (TVET) | |

Page 119

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) KENYA 36,212,477 1,921,980 18,028,318 8,881,449 2,557,553 1,252,716 16,802 6 52 3 ,378,876 1 15,094 5 9,037 Rural 2 4,039,655 1 ,473,757 1 3,457,699 5 ,048,675 1 ,104,449 4 04,498 1 3,841 2 36 2 ,432,169 6 8,402 3 5,929 Urban 1 2,172,822 4 48,223 4 ,570,619 3 ,832,774 1 ,453,104 8 48,218 2 ,961 4 16 9 46,707 4 6,692 2 3,108 Male 1 8,127,920 9 66,824 8 ,826,421 4 ,526,657 1 ,248,894 7 33,175 8 ,812 3 49 1 ,722,260 6 2,115 3 2,413 Female 1 8,083,556 9 55,104 9 ,201,398 4 ,354,544 1 ,308,604 5 19,498 7 ,988 3 02 1 ,656,528 5 2,973 2 6,617 Intersex 1 ,001 5 2 4 99 2 48 5 5 4 3 2 1 8 8 6 7 MOMBASA 9 90,259 5 5,316 4 15,805 2 81,897 1 01,951 3 9,864 4 19 7 8 8 8,138 5 ,034 1 ,757 Male 5 07,180 2 7,062 2 04,322 1 53,058 5 1,168 2 3,574 2 03 3 6 4 4,263 2 ,546 9 48 Female 4 83,066 2 8,254 2 11,476 1 28,837 5 0,782 1 6,287 2 16 4 2 4 3,875 2 ,488 8 09 CHANGAMWE 1 13,346 3 ,983 4 6,496 3 6,952 1 3,007 3 ,434 2 1 3 8 ,913 3 67 1 70 Male 5 9,561 2 ,038 2 3,169 2 0,311 7 ,084 2 ,158 1 2 2 4 ,474 2 11 1 02 Female 5 3,785 1 ,945 2 3,327 1 6,641 5 ,923 1 ,276 9 1 4 ,439 1 56 6 8 JOMVU 1 35,585 8 ,507 5 9,788 3 8,086 1 2,322 3 ,483 4 8 3 1 2,923 3 00 1 25 Male 7 0,085 4 ,168 2 9,621 2 0,714 6 ,540 2 ,240 3 0 1 6 ,515 1 84 7 2 Female 6 5,497 4 ,339 3 0,165 1 7,372 5 ,781 1 ,243 1 8 2 6 ,408 1 16 5 3 KISAUNI 2 36,303 1 3,434 1 03,042 6 1,686 2 5,238 8 ,489 9 0 1 2 2 2,877 9 41 4 94 Male 1 20,288 6 ,613 5 0,944 3 2,834 1 2,401 5 ,102 4 1 5 1 1,591 4 91 2 66 Female 1 16,013 6 ,821 5 2,097 2 8,852 1 2,837 3 ,386 4 9 7 1 1,286 4 50 2 28 LIKONI 2 03,522 1 3,600 9 0,935 5 8,372 1 5,612 3 ,843 1 37 2 0 2 0,164 5 47 2 92 Male 1 05,103 6 ,503 4 4,530 3 2,698 8 ,323 2 ,498 6 6 1 0 1 0,041 2 93 1 41 Female 9 8,417 7 ,097 4 6,404 2 5,673 7 ,289 1 ,345 7 1 1 0 1 0,123 2 54 1 51 MVITA 1 19,741 4 ,434 4 4,619 3 5,004 1 4,936 9 ,442 6 6 3 2 8 ,712 2 ,162 3 34 Male 5 9,338 2 ,107 2 0,928 1 8,646 6 ,850 5 ,258 3 0 1 3 4 ,320 1 ,001 1 85 Female 6 0,402 2 ,327 2 3,690 1 6,358 8 ,086 4 ,184 3 6 1 9 4 ,392 1 ,161 1 49 NYALI 1 81,762 1 1,358 7 0,925 5 1,797 2 0,836 1 1,173 5 7 8 1 4,549 7 17 3 42 Male 9 2,805 5 ,633 3 5,130 2 7,855 9 ,970 6 ,318 2 4 5 7 ,322 3 66 1 82 Female 8 8,952 5 ,725 3 5,793 2 3,941 1 0,866 4 ,853 3 3 3 7 ,227 3 51 1 60 KWALE 5 85,770 4 2,445 3 42,513 8 4,543 2 2,142 6 ,463 3 32 3 9 8 4,380 1 ,871 1 ,042 Male 3 04,149 2 2,028 1 73,915 4 7,246 1 1,630 4 ,174 1 72 2 6 4 3,305 1 ,045 6 08 Female 2 81,610 2 0,414 1 68,593 3 7,297 1 0,511 2 ,289 1 60 1 3 4 1,073 8 26 4 34 KINANGO 5 8,568 4 ,621 3 6,161 5 ,334 1 ,449 3 60 4 4 - 1 0,417 1 40 4 2 Male 3 0,470 2 ,459 1 8,420 3 ,006 8 58 2 57 1 9 - 5 ,352 7 5 2 4 Female 2 8,097 2 ,161 1 7,741 2 ,328 5 91 1 03 2 5 - 5 ,065 6 5 1 8 LUNGA LUNGA 1 22,221 1 1,355 7 4,624 1 2,253 2 ,569 6 32 1 26 4 1 9,706 4 42 5 10 Male 6 3,937 5 ,866 3 8,249 7 ,116 1 ,518 4 68 7 4 3 1 0,085 2 47 3 11 Female 5 8,283 5 ,488 3 6,375 5 ,137 1 ,051 1 64 5 2 1 9 ,621 1 95 1 99 MATUGA 1 39,714 8 ,479 8 2,285 2 2,533 5 ,625 1 ,868 7 0 5 1 8,317 4 18 1 14 Male 7 2,298 4 ,480 4 1,392 1 2,500 2 ,878 1 ,197 3 4 3 9 ,511 2 37 6 6 Female 6 7,414 3 ,999 4 0,891 1 0,033 2 ,747 6 71 3 6 2 8 ,806 1 81 4 8 106

Page 120

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) MSAMBWENI 1 36,026 7 ,335 7 1,110 3 0,232 9 ,154 2 ,826 3 8 2 6 1 4,463 6 03 2 39 Male 7 0,023 3 ,747 3 5,762 1 6,555 4 ,455 1 ,692 1 8 1 7 7 ,302 3 38 1 37 Female 6 6,000 3 ,587 3 5,347 1 3,677 4 ,698 1 ,134 2 0 9 7 ,161 2 65 1 02 SAMBURU 1 29,241 1 0,655 7 8,333 1 4,191 3 ,345 7 77 5 4 4 2 1,477 2 68 1 37 Male 6 7,421 5 ,476 4 0,092 8 ,069 1 ,921 5 60 2 7 3 1 1,055 1 48 7 0 Female 6 1,816 5 ,179 3 8,239 6 ,122 1 ,424 2 17 2 7 1 1 0,420 1 20 6 7 KILIFI 1 ,063,750 8 3,453 5 99,327 1 77,711 4 6,722 1 5,770 7 81 1 3 1 35,660 3 ,071 1 ,242 Male 5 49,374 4 2,321 3 01,787 9 9,563 2 4,015 9 ,782 4 05 7 6 9,143 1 ,673 6 78 Female 5 14,362 4 1,132 2 97,531 7 8,148 2 2,706 5 ,988 3 76 6 6 6,515 1 ,397 5 63 CHONYI 4 4,897 3 ,933 2 6,684 6 ,500 1 ,196 2 99 4 4 - 6 ,157 6 1 2 3 Male 2 3,263 1 ,972 1 3,335 3 ,768 7 17 2 12 2 7 - 3 ,181 3 6 1 5 Female 2 1,633 1 ,961 1 3,348 2 ,732 4 79 8 7 1 7 - 2 ,976 2 5 8 GANZE 9 5,274 9 ,143 5 8,252 9 ,644 2 ,138 5 65 1 53 1 1 5,147 1 41 9 0 Male 4 8,889 4 ,749 2 9,379 5 ,286 1 ,208 4 07 7 8 1 7 ,671 6 9 4 1 Female 4 6,383 4 ,394 2 8,871 4 ,358 9 30 1 58 7 5 - 7 ,476 7 2 4 9 KALOLENI 1 34,645 1 1,325 7 8,082 1 9,556 5 ,554 1 ,511 1 13 1 1 7,996 3 17 1 90 Male 6 9,960 5 ,912 3 9,605 1 0,914 2 ,978 9 65 5 6 1 9 ,256 1 79 9 4 Female 6 4,681 5 ,413 3 8,476 8 ,642 2 ,576 5 46 5 7 - 8 ,738 1 38 9 5 KAUMA 1 6,076 1 ,615 9 ,683 2 ,098 2 91 7 8 1 5 - 2 ,224 5 4 1 8 Male 8 ,528 8 17 5 ,000 1 ,301 1 70 5 6 9 - 1 ,127 3 6 1 2 Female 7 ,548 7 98 4 ,683 7 97 1 21 2 2 6 - 1 ,097 1 8 6 KILIFI NORTH 1 38,095 8 ,070 7 4,515 2 5,235 8 ,260 4 ,012 2 5 - 1 7,400 4 80 9 8 Male 7 0,668 4 ,153 3 6,942 1 3,840 4 ,114 2 ,411 1 8 - 8 ,880 2 59 5 1 Female 6 7,425 3 ,917 3 7,572 1 1,395 4 ,146 1 ,601 7 - 8 ,520 2 20 4 7 KILIFI SOUTH 1 58,925 1 0,757 8 0,815 3 5,112 9 ,754 3 ,416 8 3 3 1 8,312 4 52 2 21 Male 8 1,501 5 ,373 4 0,180 1 9,282 4 ,831 2 ,031 3 5 2 9 ,409 2 31 1 27 Female 7 7,423 5 ,384 4 0,635 1 5,830 4 ,922 1 ,385 4 8 1 8 ,903 2 21 9 4 MAGARINI 1 34,107 1 3,879 8 2,026 1 5,867 2 ,984 7 07 1 75 1 1 8,078 2 94 9 6 Male 7 0,300 6 ,987 4 2,083 9 ,531 1 ,744 5 09 9 8 1 9 ,126 1 67 5 4 Female 6 3,807 6 ,892 3 9,943 6 ,336 1 ,240 1 98 7 7 - 8 ,952 1 27 4 2 MALINDI 2 52,086 1 7,738 1 37,812 4 7,716 1 2,355 4 ,320 1 43 4 3 0,612 9 73 4 13 Male 1 29,812 8 ,809 6 9,535 2 6,621 5 ,926 2 ,632 6 8 1 1 5,472 5 21 2 27 Female 1 22,270 8 ,929 6 8,273 2 1,095 6 ,429 1 ,688 7 5 3 1 5,140 4 52 1 86 RABAI 8 9,645 6 ,993 5 1,458 1 5,983 4 ,190 8 62 3 0 3 9 ,734 2 99 9 3 Male 4 6,453 3 ,549 2 5,728 9 ,020 2 ,327 5 59 1 6 1 5 ,021 1 75 5 7 Female 4 3,192 3 ,444 2 5,730 6 ,963 1 ,863 3 03 1 4 2 4 ,713 1 24 3 6 TANA RIVER 1 58,000 1 3,849 8 4,250 2 5,033 5 ,354 1 ,432 1 63 1 3 2 6,420 1 ,191 2 95 Male 8 4,380 7 ,134 4 2,419 1 5,692 3 ,265 1 ,043 9 2 1 0 1 3,896 6 73 1 56 Female 7 3,620 6 ,715 4 1,831 9 ,341 2 ,089 3 89 7 1 3 1 2,524 5 18 1 39 107

Page 121

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) TANA DELTA 6 0,630 5 ,722 3 2,017 9 ,267 1 ,933 4 29 3 1 6 1 0,667 4 49 1 09 Male 3 2,005 2 ,866 1 5,998 5 ,744 1 ,206 3 19 1 8 4 5 ,560 2 36 5 4 Female 2 8,625 2 ,856 1 6,019 3 ,523 7 27 1 10 1 3 2 5 ,107 2 13 5 5 TANA NORTH 4 6,803 4 ,521 2 4,636 8 ,035 1 ,423 4 16 8 8 1 7 ,182 4 22 7 9 Male 2 6,331 2 ,468 1 3,248 5 ,234 8 57 3 04 4 8 1 3 ,866 2 56 4 9 Female 2 0,472 2 ,053 1 1,388 2 ,801 5 66 1 12 4 0 - 3 ,316 1 66 3 0 TANA RIVER 5 0,567 3 ,606 2 7,597 7 ,731 1 ,998 5 87 4 4 6 8 ,571 3 20 1 07 Male 2 6,044 1 ,800 1 3,173 4 ,714 1 ,202 4 20 2 6 5 4 ,470 1 81 5 3 Female 2 4,523 1 ,806 1 4,424 3 ,017 7 96 1 67 1 8 1 4 ,101 1 39 5 4 LAMU 1 03,880 6 ,942 5 8,049 2 0,178 4 ,543 1 ,638 3 2 1 0 1 1,218 1 ,142 1 28 Male 5 6,751 3 ,485 2 9,941 1 2,947 2 ,766 1 ,151 2 1 6 5 ,768 5 94 7 2 Female 4 7,126 3 ,457 2 8,105 7 ,231 1 ,777 4 87 1 1 4 5 ,450 5 48 5 6 LAMU EAST 1 5,810 1 ,394 9 ,202 2 ,444 5 01 1 09 4 4 1 ,830 3 06 1 6 Male 8 ,629 7 15 4 ,680 1 ,721 3 37 8 6 3 2 9 14 1 63 8 Female 7 ,181 6 79 4 ,522 7 23 1 64 2 3 1 2 9 16 1 43 8 LAMU WEST 8 8,070 5 ,548 4 8,847 1 7,734 4 ,042 1 ,529 2 8 6 9 ,388 8 36 1 12 Male 4 8,122 2 ,770 2 5,261 1 1,226 2 ,429 1 ,065 1 8 4 4 ,854 4 31 6 4 Female 3 9,945 2 ,778 2 3,583 6 ,508 1 ,613 4 64 1 0 2 4 ,534 4 05 4 8 TAITA/TAVETA 2 83,179 1 4,129 1 55,653 6 5,470 2 0,051 5 ,341 4 9 3 2 1,163 1 ,111 2 09 Male 1 46,247 7 ,132 7 8,795 3 4,849 1 0,633 3 ,381 2 6 1 1 0,732 5 91 1 07 Female 1 36,927 6 ,997 7 6,855 3 0,620 9 ,418 1 ,960 2 3 2 1 0,430 5 20 1 02 MWATATE 6 9,170 3 ,180 3 9,371 1 5,729 4 ,482 1 ,069 9 3 5 ,075 2 16 3 6 Male 3 5,947 1 ,634 1 9,960 8 ,525 2 ,475 6 49 6 1 2 ,565 1 14 1 8 Female 3 3,222 1 ,546 1 9,411 7 ,204 2 ,007 4 20 3 2 2 ,509 1 02 1 8 TAITA 4 8,089 1 ,781 2 6,088 1 2,173 3 ,463 8 48 7 - 3 ,435 2 54 4 0 Male 2 4,894 8 99 1 3,289 6 ,456 1 ,858 5 41 4 - 1 ,702 1 25 2 0 Female 2 3,195 8 82 1 2,799 5 ,717 1 ,605 3 07 3 - 1 ,733 1 29 2 0 TAVETA 7 3,195 4 ,248 4 3,599 1 4,343 3 ,708 1 ,164 1 5 - 5 ,839 2 25 5 4 Male 3 8,171 2 ,159 2 2,427 7 ,769 1 ,925 7 66 5 - 2 ,969 1 26 2 5 Female 3 5,024 2 ,089 2 1,172 6 ,574 1 ,783 3 98 1 0 - 2 ,870 9 9 2 9 VOI 9 2,725 4 ,920 4 6,595 2 3,225 8 ,398 2 ,260 1 8 - 6 ,814 4 16 7 9 Male 4 7,235 2 ,440 2 3,119 1 2,099 4 ,375 1 ,425 1 1 - 3 ,496 2 26 4 4 Female 4 5,486 2 ,480 2 3,473 1 1,125 4 ,023 8 35 7 - 3 ,318 1 90 3 5 GARISSA 1 65,797 8 ,850 8 0,185 3 5,556 6 ,915 3 ,292 6 33 1 08 2 1,560 6 ,248 2 ,450 Male 9 8,291 4 ,811 4 6,077 2 3,623 4 ,517 2 ,487 3 73 5 7 1 1,370 3 ,484 1 ,492 Female 6 7,501 4 ,039 3 4,106 1 1,931 2 ,398 8 04 2 60 5 1 1 0,190 2 ,764 9 58 108

Page 122

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) BALAMBALA 3 ,535 1 35 1 ,710 1 ,243 7 4 1 8 2 7 1 3 22 5 - Male 2 ,391 7 4 1 ,066 9 88 5 0 1 3 2 0 - 1 77 3 - Female 1 ,144 6 1 6 44 2 55 2 4 5 7 1 1 45 2 - DADAAB 2 5,675 1 ,327 1 3,959 5 ,233 7 69 3 43 1 31 2 0 2 ,540 7 49 6 04 Male 1 5,538 7 54 8 ,031 3 ,665 5 70 2 65 7 5 9 1 ,364 4 41 3 64 Female 1 0,137 5 73 5 ,928 1 ,568 1 99 7 8 5 6 1 1 1 ,176 3 08 2 40 FAFI 1 8,945 1 ,117 9 ,964 4 ,033 3 60 9 1 8 9 5 1 ,845 1 ,313 1 28 Male 1 1,187 5 88 5 ,632 2 ,795 2 77 7 1 5 3 3 9 69 7 18 8 1 Female 7 ,756 5 29 4 ,331 1 ,237 8 3 2 0 3 6 2 8 76 5 95 4 7 GARISSA 5 6,947 2 ,708 2 5,357 1 3,839 3 ,922 2 ,216 7 9 3 9 6 ,195 1 ,842 7 50 Male 3 2,463 1 ,425 1 3,966 8 ,504 2 ,336 1 ,635 4 5 2 2 3 ,162 9 51 4 17 Female 2 4,481 1 ,283 1 1,390 5 ,334 1 ,586 5 80 3 4 1 7 3 ,033 8 91 3 33 HULUGHO 2 2,386 1 ,155 1 1,051 3 ,554 3 77 1 22 1 00 1 6 5 ,023 7 43 2 45 Male 1 3,803 6 62 6 ,876 2 ,437 2 77 1 01 5 9 9 2 ,763 4 57 1 62 Female 8 ,583 4 93 4 ,175 1 ,117 1 00 2 1 4 1 7 2 ,260 2 86 8 3 IJARA 3 3,072 2 ,057 1 5,237 6 ,782 1 ,303 4 55 1 71 2 6 4 ,906 1 ,463 6 72 Male 2 0,104 1 ,155 9 ,008 4 ,651 9 26 3 67 1 01 1 3 2 ,598 8 47 4 38 Female 1 2,968 9 02 6 ,229 2 ,131 3 77 8 8 7 0 1 3 2 ,308 6 16 2 34 LAGDERA 5 ,237 3 51 2 ,907 8 72 1 10 4 7 3 6 1 7 29 1 33 5 1 Male 2 ,805 1 53 1 ,498 5 83 8 1 3 5 2 0 1 3 37 6 7 3 0 Female 2 ,432 1 98 1 ,409 2 89 2 9 1 2 1 6 - 3 92 6 6 2 1 WAJIR 1 51,956 9 ,832 8 1,117 2 8,081 5 ,567 2 ,128 4 03 3 9 2 1,137 3 ,013 6 39 Male 8 8,325 5 ,237 4 5,553 1 8,278 3 ,911 1 ,686 2 34 2 3 1 1,228 1 ,745 4 30 Female 6 3,627 4 ,595 3 5,562 9 ,803 1 ,656 4 41 1 69 1 6 9 ,908 1 ,268 2 09 BUNA 6 ,738 7 27 3 ,241 1 ,227 1 94 6 7 3 1 1 8 08 3 98 4 4 Male 3 ,843 3 75 1 ,806 8 05 1 28 5 8 1 7 1 4 35 1 99 1 9 Female 2 ,895 3 52 1 ,435 4 22 6 6 9 1 4 - 3 73 1 99 2 5 ELDAS 1 5,538 9 63 8 ,956 2 ,304 3 79 8 8 6 4 6 2 ,466 2 21 9 1 Male 8 ,477 4 58 4 ,737 1 ,519 2 66 6 5 3 9 2 1 ,213 1 16 6 2 Female 7 ,061 5 05 4 ,219 7 85 1 13 2 3 2 5 4 1 ,253 1 05 2 9 HABASWEIN 3 9,532 2 ,111 1 9,814 7 ,254 1 ,418 4 38 8 0 1 3 6 ,966 1 ,310 1 28 Male 2 3,862 1 ,162 1 1,710 4 ,730 1 ,015 3 60 4 2 8 3 ,941 8 03 9 1 Female 1 5,670 9 49 8 ,104 2 ,524 4 03 7 8 3 8 5 3 ,025 5 07 3 7 TARBAJ 7 ,220 4 48 4 ,376 1 ,284 1 62 5 2 1 7 1 8 27 4 8 5 Male 3 ,749 2 13 2 ,162 7 89 1 28 3 8 8 - 3 89 2 0 2 Female 3 ,470 2 35 2 ,213 4 95 3 4 1 4 9 1 4 38 2 8 3 WAJIR EAST 3 3,348 1 ,686 1 6,970 7 ,974 1 ,994 9 97 5 7 1 2 2 ,870 5 55 2 33 Male 1 9,381 9 21 9 ,277 5 ,030 1 ,357 7 92 3 5 8 1 ,485 3 18 1 58 Female 1 3,966 7 65 7 ,693 2 ,944 6 37 2 04 2 2 4 1 ,385 2 37 7 5 109

Page 123

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) WAJIR NORTH 1 0,871 8 31 5 ,946 1 ,709 3 84 1 57 2 7 - 1 ,682 1 21 1 4 Male 6 ,104 4 28 3 ,212 1 ,134 2 77 1 34 2 0 - 8 19 6 9 1 1 Female 4 ,767 4 03 2 ,734 5 75 1 07 2 3 7 - 8 63 5 2 3 WAJIR SOUTH 1 7,774 1 ,240 1 0,338 2 ,910 4 52 1 06 7 4 4 2 ,552 4 1 5 7 Male 1 0,950 7 19 6 ,268 2 ,013 3 27 8 7 4 5 3 1 ,425 2 6 3 7 Female 6 ,823 5 21 4 ,070 8 97 1 25 1 9 2 9 1 1 ,126 1 5 2 0 WAJIR WEST 2 0,935 1 ,826 1 1,476 3 ,419 5 84 2 23 5 3 2 2 ,966 3 19 6 7 Male 1 1,959 9 61 6 ,381 2 ,258 4 13 1 52 2 8 1 1 ,521 1 94 5 0 Female 8 ,975 8 65 5 ,094 1 ,161 1 71 7 1 2 5 1 1 ,445 1 25 1 7 MANDERA 1 97,490 1 4,953 1 06,776 3 5,659 5 ,592 2 ,183 5 36 6 4 2 6,231 4 ,298 1 ,198 Male 1 09,059 7 ,518 5 7,003 2 2,983 3 ,948 1 ,765 2 80 3 4 1 2,669 2 ,193 6 66 Female 8 8,428 7 ,435 4 9,771 1 2,675 1 ,644 4 18 2 56 3 0 1 3,562 2 ,105 5 32 MANDERA WEST 2 4,818 1 ,905 1 3,844 3 ,387 4 81 1 75 5 5 6 4 ,653 2 44 6 8 Male 1 3,284 9 68 7 ,258 2 ,170 3 52 1 52 2 8 4 2 ,200 1 19 3 3 Female 1 1,534 9 37 6 ,586 1 ,217 1 29 2 3 2 7 2 2 ,453 1 25 3 5 BANISA 2 2,704 2 ,524 1 1,774 3 ,007 6 04 1 16 1 42 3 4 ,136 2 73 1 25 Male 1 3,086 1 ,330 6 ,734 2 ,042 4 39 9 6 6 9 2 2 ,132 1 68 7 4 Female 9 ,617 1 ,194 5 ,039 9 65 1 65 2 0 7 3 1 2 ,004 1 05 5 1 KOTULO 1 8,807 1 ,356 1 0,283 3 ,284 5 67 1 70 2 9 8 2 ,577 4 63 7 0 Male 1 0,129 6 46 5 ,347 2 ,122 4 13 1 37 1 5 3 1 ,189 2 20 3 7 Female 8 ,677 7 10 4 ,935 1 ,162 1 54 3 3 1 4 5 1 ,388 2 43 3 3 LAFEY 1 3,505 9 63 6 ,781 2 ,819 2 64 8 8 9 4 1 8 1 ,768 5 56 1 54 Male 6 ,945 4 63 3 ,288 1 ,679 1 81 6 2 5 8 1 0 8 16 3 07 8 1 Female 6 ,560 5 00 3 ,493 1 ,140 8 3 2 6 3 6 8 9 52 2 49 7 3 MANDERA CENTRAL 4 0,307 3 ,147 2 1,812 6 ,711 1 ,067 2 83 8 0 1 4 5 ,223 1 ,530 4 40 Male 2 0,137 1 ,394 1 0,487 4 ,063 7 41 2 28 3 9 8 2 ,239 7 07 2 31 Female 2 0,169 1 ,753 1 1,325 2 ,647 3 26 5 5 4 1 6 2 ,984 8 23 2 09 MANDERA EAST 4 8,557 3 ,180 2 5,040 1 1,445 1 ,943 1 ,123 7 5 8 4 ,534 9 72 2 37 Male 2 8,744 1 ,696 1 4,063 7 ,672 1 ,322 8 96 4 5 4 2 ,387 5 11 1 48 Female 1 9,813 1 ,484 1 0,977 3 ,773 6 21 2 27 3 0 4 2 ,147 4 61 8 9 MANDERA NORTH 2 8,792 1 ,878 1 7,242 5 ,006 6 66 2 28 6 1 7 3 ,340 2 60 1 04 Male 1 6,734 1 ,021 9 ,826 3 ,235 5 00 1 94 2 6 3 1 ,706 1 61 6 2 Female 1 2,058 8 57 7 ,416 1 ,771 1 66 3 4 3 5 4 1 ,634 9 9 4 2 MARSABIT 1 46,569 1 1,626 7 6,626 2 6,097 6 ,340 3 ,746 1 53 9 2 0,702 8 60 4 10 Male 7 8,922 5 ,840 3 9,419 1 6,022 3 ,746 2 ,744 9 3 4 1 0,336 4 90 2 28 Female 6 7,643 5 ,785 3 7,205 1 0,074 2 ,594 1 ,002 6 0 5 1 0,366 3 70 1 82 LOIYANGALANI 8 ,271 7 85 4 ,396 1 ,207 3 28 1 41 1 3 - 1 ,374 1 5 1 2 Male 4 ,155 3 49 2 ,047 7 77 2 20 1 18 5 - 6 23 1 3 3 Female 4 ,115 4 35 2 ,349 4 30 1 08 2 3 8 - 7 51 2 9 110

Page 124

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) MARSABIT CENTRAL 4 3,011 3 ,226 2 1,631 8 ,704 2 ,472 1 ,798 2 6 5 4 ,922 1 71 5 6 Male 2 2,802 1 ,650 1 1,006 4 ,967 1 ,286 1 ,254 1 4 3 2 ,488 1 03 3 1 Female 2 0,207 1 ,576 1 0,624 3 ,736 1 ,186 5 44 1 2 2 2 ,434 6 8 2 5 MARSABIT NORTH 1 2,276 1 ,450 6 ,346 1 ,813 4 99 2 40 2 2 - 1 ,853 2 5 2 8 Male 6 ,375 7 20 3 ,091 1 ,096 3 06 1 98 1 2 - 9 13 1 6 2 3 Female 5 ,901 7 30 3 ,255 7 17 1 93 4 2 1 0 - 9 40 9 5 MARSABIT SOUTH 1 4,999 1 ,033 7 ,758 2 ,646 6 88 3 57 1 8 - 2 ,423 4 7 2 9 Male 7 ,702 5 00 3 ,605 1 ,708 4 59 2 85 8 - 1 ,098 2 1 1 8 Female 7 ,297 5 33 4 ,153 9 38 2 29 7 2 1 0 - 1 ,325 2 6 1 1 MOYALE 4 3,034 3 ,167 2 3,378 7 ,477 1 ,340 8 37 2 7 4 6 ,208 5 42 5 4 Male 2 4,024 1 ,620 1 2,705 4 ,726 7 99 5 97 1 7 1 3 ,228 2 94 3 7 Female 1 9,010 1 ,547 1 0,673 2 ,751 5 41 2 40 1 0 3 2 ,980 2 48 1 7 NORTH HORR 8 ,597 7 08 4 ,092 1 ,608 4 85 1 61 1 8 - 1 ,296 3 3 1 96 Male 4 ,886 3 57 2 ,238 1 ,054 3 21 1 21 1 5 - 6 58 2 4 9 8 Female 3 ,710 3 51 1 ,853 5 54 1 64 4 0 3 - 6 38 9 9 8 SOLOLO 1 6,381 1 ,257 9 ,025 2 ,642 5 28 2 12 2 9 - 2 ,626 2 7 3 5 Male 8 ,978 6 44 4 ,727 1 ,694 3 55 1 71 2 2 - 1 ,328 1 9 1 8 Female 7 ,403 6 13 4 ,298 9 48 1 73 4 1 7 - 1 ,298 8 1 7 ISIOLO 1 29,220 6 ,956 6 4,634 2 8,532 7 ,110 3 ,378 7 9 1 1 1 7,659 7 21 1 40 Male 6 8,403 3 ,509 3 2,520 1 6,689 3 ,746 2 ,313 4 5 5 9 ,030 4 61 8 5 Female 6 0,816 3 ,447 3 2,114 1 1,843 3 ,364 1 ,065 3 4 6 8 ,628 2 60 5 5 GARBATULLA 3 4,291 2 ,345 1 9,014 6 ,124 7 86 3 36 4 2 3 5 ,261 3 41 3 9 Male 1 8,837 1 ,197 1 0,015 3 ,893 5 07 2 61 2 4 1 2 ,701 2 14 2 4 Female 1 5,454 1 ,148 8 ,999 2 ,231 2 79 7 5 1 8 2 2 ,560 1 27 1 5 ISIOLO 7 7,157 3 ,555 3 5,917 1 9,451 5 ,737 2 ,869 3 3 7 9 ,228 2 84 7 6 Male 4 0,237 1 ,807 1 7,768 1 0,951 2 ,840 1 ,908 1 9 3 4 ,726 1 71 4 4 Female 3 6,920 1 ,748 1 8,149 8 ,500 2 ,897 9 61 1 4 4 4 ,502 1 13 3 2 MERTI 1 7,772 1 ,056 9 ,703 2 ,957 5 87 1 73 4 1 3 ,170 9 6 2 5 Male 9 ,329 5 05 4 ,737 1 ,845 3 99 1 44 2 1 1 ,603 7 6 1 7 Female 8 ,442 5 51 4 ,966 1 ,112 1 88 2 9 2 - 1 ,566 2 0 8 MERU 1 ,216,440 7 1,556 6 92,007 2 49,032 6 9,276 2 7,083 5 90 4 1 00,888 3 ,914 2 ,090 Male 6 10,726 3 7,142 3 48,390 1 21,371 3 2,703 1 5,737 3 12 2 5 1,756 2 ,124 1 ,189 Female 6 05,685 3 4,413 3 43,598 1 27,656 3 6,573 1 1,345 2 77 2 4 9,131 1 ,789 9 01 BUURI EAST 6 4,905 2 ,983 3 6,269 1 5,698 4 ,393 1 ,346 1 9 2 3 ,876 2 25 9 4 Male 3 2,790 1 ,557 1 8,653 7 ,521 2 ,119 7 61 7 - 2 ,009 1 10 5 3 Female 3 2,115 1 ,426 1 7,616 8 ,177 2 ,274 5 85 1 2 2 1 ,867 1 15 4 1 BUURI WEST 6 8,643 3 ,032 3 7,450 1 8,627 3 ,664 1 ,228 2 1 1 4 ,410 1 57 5 3 Male 3 4,638 1 ,582 1 9,099 9 ,136 1 ,778 6 94 1 2 1 2 ,229 6 9 3 8 Female 3 4,003 1 ,450 1 8,349 9 ,491 1 ,886 5 34 9 - 2 ,181 8 8 1 5 111

Page 125

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) IGEMBE CENTRAL 1 59,847 1 2,820 9 8,742 2 2,996 4 ,980 1 ,806 1 14 - 1 7,676 4 32 2 81 Male 8 0,629 6 ,682 4 9,833 1 1,276 2 ,267 1 ,072 6 2 - 9 ,036 2 34 1 67 Female 7 9,215 6 ,138 4 8,907 1 1,720 2 ,713 7 33 5 2 - 8 ,640 1 98 1 14 IGEMBE NORTH 1 13,067 8 ,870 6 8,825 1 6,826 3 ,994 1 ,394 1 13 - 1 2,309 5 12 2 24 Male 5 6,380 4 ,611 3 4,172 8 ,111 1 ,796 8 84 6 0 - 6 ,366 2 59 1 21 Female 5 6,684 4 ,259 3 4,652 8 ,714 2 ,198 5 10 5 3 - 5 ,943 2 52 1 03 IGEMBE SOUTH 1 20,462 8 ,352 7 1,398 1 9,683 5 ,437 2 ,100 1 22 - 1 2,584 3 00 4 86 Male 5 9,789 4 ,392 3 5,274 9 ,391 2 ,446 1 ,280 7 0 - 6 ,495 1 68 2 73 Female 6 0,668 3 ,960 3 6,119 1 0,292 2 ,991 8 20 5 2 - 6 ,089 1 32 2 13 IMENTI NORTH 1 51,474 5 ,082 7 0,732 4 1,880 1 5,816 7 ,275 2 0 1 1 0,002 5 01 1 65 Male 7 5,696 2 ,601 3 6,043 2 0,320 7 ,194 4 ,083 6 1 5 ,069 2 84 9 5 Female 7 5,774 2 ,481 3 4,687 2 1,559 8 ,622 3 ,192 1 4 - 4 ,932 2 17 7 0 IMENTI SOUTH 1 76,990 9 ,301 9 0,648 4 6,252 1 3,131 5 ,213 3 2 - 1 1,732 5 19 1 62 Male 8 9,508 4 ,845 4 6,488 2 2,573 6 ,281 2 ,886 1 6 - 6 ,069 2 58 9 2 Female 8 7,477 4 ,456 4 4,156 2 3,679 6 ,850 2 ,327 1 5 - 5 ,663 2 61 7 0 MERU CENTRAL 1 13,818 4 ,560 6 3,944 2 6,563 7 ,786 2 ,418 5 2 - 7 ,896 4 29 1 70 Male 5 8,082 2 ,433 3 3,156 1 2,926 3 ,825 1 ,367 2 8 - 4 ,014 2 38 9 5 Female 5 5,733 2 ,127 3 0,787 1 3,635 3 ,961 1 ,051 2 4 - 3 ,882 1 91 7 5 TIGANIA CENTRAL 8 1,247 6 ,727 5 1,061 1 1,861 2 ,900 1 ,287 4 9 - 7 ,015 2 56 9 1 Male 4 0,888 3 ,405 2 5,529 5 ,910 1 ,430 8 15 2 9 - 3 ,567 1 49 5 4 Female 4 0,359 3 ,322 2 5,532 5 ,951 1 ,470 4 72 2 0 - 3 ,448 1 07 3 7 TIGANIA EAST 5 2,912 2 ,882 3 2,595 8 ,916 2 ,298 1 ,102 1 6 - 4 ,791 1 61 1 51 Male 2 6,146 1 ,475 1 5,789 4 ,437 1 ,123 7 02 8 - 2 ,440 9 3 7 9 Female 2 6,764 1 ,406 1 6,805 4 ,479 1 ,175 4 00 8 - 2 ,351 6 8 7 2 TIGANIA WEST 1 12,439 6 ,936 7 0,020 1 9,527 4 ,806 1 ,903 3 2 - 8 ,583 4 19 2 13 Male 5 5,657 3 ,550 3 4,082 9 ,603 2 ,387 1 ,186 1 4 - 4 ,454 2 59 1 22 Female 5 6,780 3 ,386 3 5,937 9 ,923 2 ,419 7 17 1 8 - 4 ,129 1 60 9 1 MERU NATIONAL PARK 2 79 3 6 0 1 43 5 5 6 - - 1 2 - - Male 2 10 2 3 9 1 16 4 2 4 - - 7 - - Female 6 9 1 2 1 2 7 1 3 2 - - 5 - - MT. KENYA FOREST 3 57 8 2 63 6 0 1 6 5 - - 2 3 - Male 3 13 7 2 33 5 1 1 5 3 - - 1 3 - Female 4 4 1 3 0 9 1 2 - - 1 - - THARAKA-NITHI 3 24,735 1 7,844 1 77,102 7 3,308 2 1,353 9 ,390 1 89 - 2 3,604 1 ,451 4 94 Male 1 62,637 9 ,107 8 8,717 3 6,060 1 0,032 5 ,477 1 01 - 1 2,105 7 52 2 86 Female 1 62,093 8 ,737 8 8,382 3 7,246 1 1,321 3 ,913 8 8 - 1 1,499 6 99 2 08 IGAMBANG’OMBE 4 3,160 2 ,591 2 6,478 7 ,407 1 ,955 6 50 1 7 - 3 ,615 3 29 1 18 Male 2 1,790 1 ,291 1 3,385 3 ,647 9 33 4 13 9 - 1 ,882 1 67 6 3 Female 2 1,369 1 ,300 1 3,092 3 ,760 1 ,022 2 37 8 - 1 ,733 1 62 5 5 112

Page 126

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) MAARA 1 00,251 4 ,167 5 2,976 2 6,528 7 ,482 2 ,837 1 5 - 5 ,775 3 61 1 10 Male 5 0,814 2 ,092 2 7,244 1 3,082 3 ,523 1 ,583 9 - 3 ,015 1 92 7 4 Female 4 9,437 2 ,075 2 5,732 1 3,446 3 ,959 1 ,254 6 - 2 ,760 1 69 3 6 MERU SOUTH 7 8,987 3 ,487 3 7,620 2 1,957 6 ,824 3 ,917 1 5 - 4 ,671 3 86 1 10 Male 3 9,388 1 ,820 1 9,047 1 0,561 3 ,133 2 ,225 9 - 2 ,329 2 07 5 7 Female 3 9,597 1 ,667 1 8,573 1 1,394 3 ,691 1 ,692 6 - 2 ,342 1 79 5 3 THARAKA NORTH 4 2,198 3 ,734 2 4,901 6 ,853 1 ,721 6 42 1 09 - 3 ,936 1 97 1 05 Male 2 1,044 1 ,918 1 2,184 3 ,528 8 39 4 04 5 9 - 1 ,942 1 09 6 1 Female 2 1,153 1 ,816 1 2,716 3 ,325 8 82 2 38 5 0 - 1 ,994 8 8 4 4 THARAKA SOUTH 5 9,985 3 ,864 3 5,103 1 0,456 3 ,359 1 ,341 3 3 - 5 ,600 1 78 5 1 Male 2 9,530 1 ,986 1 6,843 5 ,199 1 ,595 8 51 1 5 - 2 ,933 7 7 3 1 Female 3 0,454 1 ,878 1 8,259 5 ,257 1 ,764 4 90 1 8 - 2 ,667 1 01 2 0 MT. KENYA FOREST 1 54 1 2 4 1 07 1 2 3 - - 7 - - Male 7 1 - 1 4 4 3 9 1 - - 4 - - Female 8 3 1 1 0 6 4 3 2 - - 3 - - EMBU 5 17,269 2 7,621 2 73,675 1 31,788 3 6,627 1 3,859 1 67 2 3 1,690 1 ,496 3 44 Male 2 62,672 1 4,254 1 40,996 6 5,267 1 7,115 7 ,882 8 7 1 1 6,086 7 93 1 91 Female 2 54,578 1 3,367 1 32,672 6 6,513 1 9,512 5 ,976 8 0 1 1 5,601 7 03 1 53 EMBU EAST 1 11,127 5 ,467 5 9,064 3 0,222 7 ,622 2 ,414 3 2 - 5 ,945 2 92 6 9 Male 5 6,420 2 ,848 3 0,379 1 4,932 3 ,596 1 ,366 1 5 - 3 ,093 1 49 4 2 Female 5 4,705 2 ,619 2 8,684 1 5,290 4 ,026 1 ,048 1 7 - 2 ,851 1 43 2 7 EMBU NORTH 6 8,261 4 ,476 3 3,305 1 9,981 4 ,981 1 ,550 2 2 2 3 ,789 1 34 2 1 Male 3 4,819 2 ,383 1 7,220 9 ,871 2 ,429 8 75 1 3 1 1 ,947 6 9 1 1 Female 3 3,441 2 ,093 1 6,085 1 0,109 2 ,552 6 75 9 1 1 ,842 6 5 1 0 EMBU WEST 1 09,340 4 ,602 4 7,120 3 2,365 1 2,601 5 ,862 1 7 - 6 ,267 4 26 8 0 Male 5 4,284 2 ,370 2 4,276 1 5,512 5 ,482 3 ,229 8 - 3 ,138 2 26 4 3 Female 5 5,047 2 ,232 2 2,841 1 6,848 7 ,119 2 ,632 9 - 3 ,129 2 00 3 7 MBEERE SOUTH 1 38,377 8 ,008 8 0,333 3 1,044 6 ,810 2 ,352 7 2 - 9 ,197 4 36 1 25 Male 7 1,777 4 ,161 4 1,872 1 5,926 3 ,430 1 ,402 3 5 - 4 ,638 2 41 7 2 Female 6 6,595 3 ,847 3 8,458 1 5,117 3 ,380 9 50 3 7 - 4 ,558 1 95 5 3 MBEERE NORTH 9 0,143 5 ,068 5 3,851 1 8,164 4 ,607 1 ,680 2 4 - 6 ,492 2 08 4 9 Male 4 5,354 2 ,492 2 7,247 9 ,016 2 ,173 1 ,009 1 6 - 3 ,270 1 08 2 3 Female 4 4,787 2 ,576 2 6,604 9 ,147 2 ,434 6 71 8 - 3 ,221 1 00 2 6 MT. KENYA FOREST 2 1 - 2 1 2 6 1 - - - - - Male 1 8 - 2 1 0 5 1 - - - - - Female 3 - - 2 1 - - - - - - 113

Page 127

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) KITUI 9 08,143 5 8,274 5 43,941 1 57,798 4 6,724 1 6,347 4 89 1 7 7,767 4 ,804 1 ,998 Male 4 50,111 2 9,902 2 64,695 7 9,384 2 2,893 9 ,622 2 73 - 3 9,890 2 ,403 1 ,049 Female 4 58,011 2 8,369 2 79,234 7 8,410 2 3,831 6 ,725 2 16 1 3 7,875 2 ,401 9 49 IKUTHA 6 6,934 4 ,788 4 2,441 9 ,522 2 ,534 6 29 5 6 - 6 ,273 4 77 2 14 Male 3 3,266 2 ,470 2 0,637 4 ,774 1 ,308 4 09 2 8 - 3 ,287 2 41 1 12 Female 3 3,668 2 ,318 2 1,804 4 ,748 1 ,226 2 20 2 8 - 2 ,986 2 36 1 02 KATULANI 3 8,698 1 ,826 2 2,085 8 ,742 2 ,382 7 78 1 1 - 2 ,610 2 04 6 0 Male 1 9,602 9 67 1 0,844 4 ,583 1 ,220 4 59 4 - 1 ,369 1 21 3 5 Female 1 9,095 8 59 1 1,241 4 ,159 1 ,162 3 19 7 - 1 ,240 8 3 2 5 KISASI 3 7,580 2 ,582 2 3,265 6 ,312 1 ,496 5 16 1 5 - 3 ,189 1 18 8 7 Male 1 9,003 1 ,369 1 1,536 3 ,252 7 76 3 28 7 - 1 ,621 7 0 4 4 Female 1 8,577 1 ,213 1 1,729 3 ,060 7 20 1 88 8 - 1 ,568 4 8 4 3 KITUI CENTRAL 8 8,883 4 ,061 4 5,193 2 1,648 7 ,387 3 ,370 2 3 - 6 ,703 3 73 1 25 Male 4 4,153 2 ,139 2 2,082 1 0,895 3 ,467 1 ,834 1 5 - 3 ,450 1 99 7 2 Female 4 4,728 1 ,922 2 3,110 1 0,752 3 ,920 1 ,536 8 - 3 ,253 1 74 5 3 KITUI WEST 5 9,783 2 ,642 3 4,391 1 2,378 3 ,870 1 ,365 6 - 4 ,653 4 26 5 2 Male 2 9,252 1 ,394 1 6,701 5 ,990 1 ,807 7 85 2 - 2 ,346 1 99 2 8 Female 3 0,530 1 ,248 1 7,689 6 ,388 2 ,063 5 80 4 - 2 ,307 2 27 2 4 KYUSO 5 8,859 4 ,778 3 7,321 7 ,552 2 ,373 7 40 3 9 - 5 ,401 3 92 2 63 Male 2 8,937 2 ,422 1 8,000 3 ,836 1 ,129 4 67 2 1 - 2 ,758 1 78 1 26 Female 2 9,921 2 ,356 1 9,321 3 ,715 1 ,244 2 73 1 8 - 2 ,643 2 14 1 37 LOWER YATTA 5 1,367 4 ,103 3 0,231 9 ,763 2 ,182 9 62 2 4 1 3 ,738 2 41 1 22 Male 2 6,288 2 ,177 1 5,210 5 ,027 1 ,160 5 69 1 3 - 1 ,940 1 27 6 5 Female 2 5,079 1 ,926 1 5,021 4 ,736 1 ,022 3 93 1 1 1 1 ,798 1 14 5 7 MATINYANI 4 0,061 1 ,944 2 2,781 8 ,373 2 ,653 7 81 1 5 - 3 ,328 1 49 3 7 Male 2 0,200 9 96 1 1,370 4 ,221 1 ,363 4 21 8 - 1 ,721 7 5 2 5 Female 1 9,860 9 48 1 1,410 4 ,152 1 ,290 3 60 7 - 1 ,607 7 4 1 2 MIGWANI 6 5,677 2 ,690 3 8,115 1 3,220 4 ,326 1 ,433 1 7 - 5 ,235 4 61 1 80 Male 3 1,764 1 ,394 1 8,211 6 ,348 2 ,021 8 39 1 0 - 2 ,631 2 02 1 08 Female 3 3,910 1 ,296 1 9,902 6 ,871 2 ,305 5 94 7 - 2 ,604 2 59 7 2 MUMONI 2 3,414 2 ,988 1 3,587 3 ,208 8 58 3 26 3 5 - 2 ,274 9 2 4 6 Male 1 1,198 1 ,469 6 ,260 1 ,621 4 40 1 92 2 4 - 1 ,127 3 9 2 6 Female 1 2,216 1 ,519 7 ,327 1 ,587 4 18 1 34 1 1 - 1 ,147 5 3 2 0 MUTITU 4 1,209 2 ,897 2 7,184 5 ,162 1 ,257 4 08 2 9 - 3 ,990 1 62 1 20 Male 2 0,372 1 ,480 1 3,075 2 ,619 6 92 2 43 1 8 - 2 ,095 8 9 6 1 Female 2 0,835 1 ,417 1 4,107 2 ,543 5 65 1 65 1 1 - 1 ,895 7 3 5 9 MUTITU NORTH 1 7,006 1 ,303 1 0,757 2 ,605 6 84 2 08 1 0 - 1 ,333 8 2 2 4 Male 8 ,557 7 14 5 ,256 1 ,330 3 56 1 40 7 - 6 97 4 1 1 6 Female 8 ,448 5 89 5 ,500 1 ,275 3 28 6 8 3 - 6 36 4 1 8 114

Page 128

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) MUTOMO 8 7,071 6 ,138 5 4,596 1 2,091 4 ,151 1 ,005 5 7 - 8 ,327 5 71 1 35 Male 4 3,400 3 ,092 2 6,854 6 ,056 2 ,080 6 31 2 6 - 4 ,290 2 93 7 8 Female 4 3,668 3 ,044 2 7,741 6 ,035 2 ,071 3 74 3 1 - 4 ,037 2 78 5 7 MWINGI CENTRAL 8 6,387 5 ,109 5 0,794 1 5,900 4 ,620 1 ,931 5 2 - 7 ,416 4 04 1 61 Male 4 2,345 2 ,586 2 4,679 7 ,788 2 ,104 1 ,107 3 2 - 3 ,754 2 11 8 4 Female 4 4,042 2 ,523 2 6,115 8 ,112 2 ,516 8 24 2 0 - 3 ,662 1 93 7 7 MWINGI EAST 6 4,565 4 ,520 4 1,851 8 ,596 2 ,237 6 95 3 0 - 6 ,034 3 65 2 37 Male 3 1,539 2 ,270 1 9,948 4 ,365 1 ,095 4 57 1 7 - 3 ,119 1 69 9 9 Female 3 3,022 2 ,250 2 1,901 4 ,230 1 ,142 2 38 1 3 - 2 ,914 1 96 1 38 NZAMBANI 3 8,625 2 ,258 2 2,893 7 ,305 2 ,088 7 71 1 5 - 3 ,153 1 09 3 3 Male 1 9,454 1 ,159 1 1,300 3 ,836 1 ,012 4 51 1 1 - 1 ,616 5 2 1 7 Female 1 9,170 1 ,098 1 1,593 3 ,469 1 ,076 3 20 4 - 1 ,537 5 7 1 6 THAGICU 1 1,778 6 92 7 ,485 1 ,672 5 35 1 15 9 - 1 ,183 7 6 1 1 Male 5 ,745 3 56 3 ,592 8 11 2 72 7 8 4 - 5 84 4 1 7 Female 6 ,032 3 36 3 ,892 8 61 2 63 3 7 5 - 5 99 3 5 4 TSEIKURU 3 0,246 2 ,955 1 8,971 3 ,749 1 ,091 3 14 4 6 - 2 ,927 1 02 9 1 Male 1 5,036 1 ,448 9 ,140 2 ,032 5 91 2 12 2 6 - 1 ,485 5 6 4 6 Female 1 5,210 1 ,507 9 ,831 1 ,717 5 00 1 02 2 0 - 1 ,442 4 6 4 5 MACHAKOS 1 ,228,605 5 3,239 6 05,837 3 29,876 1 03,533 4 7,371 4 46 4 8 1,880 4 ,396 2 ,023 Male 6 21,093 2 7,695 3 01,229 1 68,191 5 1,203 2 7,101 2 33 3 4 2,023 2 ,296 1 ,119 Female 6 07,488 2 5,544 3 04,596 1 61,678 5 2,328 2 0,270 2 13 1 3 9,854 2 ,100 9 04 ATHI RIVER 2 82,339 8 ,056 9 6,106 9 3,488 3 7,574 2 5,535 1 22 3 1 9,888 1 ,051 5 16 Male 1 43,817 4 ,139 4 8,104 4 8,284 1 8,288 1 3,925 5 7 2 1 0,116 6 16 2 86 Female 1 38,521 3 ,917 4 8,002 4 5,204 1 9,286 1 1,610 6 5 1 9 ,771 4 35 2 30 KALAMA 4 5,900 2 ,792 2 4,372 1 1,802 2 ,766 8 26 2 3 - 3 ,012 1 95 1 12 Male 2 2,978 1 ,437 1 1,938 5 ,982 1 ,386 5 26 1 1 - 1 ,556 8 9 5 3 Female 2 2,917 1 ,355 1 2,432 5 ,817 1 ,380 3 00 1 2 - 1 ,456 1 06 5 9 KANGUNDO 8 7,052 4 ,037 4 4,720 2 5,441 5 ,731 1 ,449 1 2 - 5 ,314 2 97 5 1 Male 4 3,862 2 ,077 2 2,096 1 2,884 3 ,029 9 29 5 - 2 ,683 1 32 2 7 Female 4 3,189 1 ,960 2 2,624 1 2,556 2 ,702 5 20 7 - 2 ,631 1 65 2 4 KATHIANI 9 7,951 3 ,834 5 7,325 2 1,982 6 ,402 1 ,502 1 7 - 6 ,398 3 51 1 40 Male 4 8,853 1 ,998 2 7,923 1 1,103 3 ,329 9 58 1 0 - 3 ,271 1 78 8 3 Female 4 9,094 1 ,836 2 9,400 1 0,878 3 ,073 5 44 7 - 3 ,126 1 73 5 7 MACHAKOS 1 49,046 5 ,135 6 6,213 4 1,651 1 8,192 7 ,571 2 8 - 9 ,362 6 28 2 66 Male 7 5,155 2 ,626 3 3,407 2 0,933 8 ,622 4 ,312 1 5 - 4 ,770 3 25 1 45 Female 7 3,885 2 ,509 3 2,804 2 0,717 9 ,568 3 ,259 1 3 - 4 ,591 3 03 1 21 MASINGA 1 23,806 6 ,795 7 5,685 2 3,898 5 ,809 1 ,865 6 5 - 8 ,754 5 21 4 14 Male 6 2,390 3 ,597 3 7,527 1 1,988 2 ,943 1 ,181 3 6 - 4 ,602 2 86 2 30 Female 6 1,414 3 ,198 3 8,156 1 1,910 2 ,866 6 84 2 9 - 4 ,152 2 35 1 84 115

Page 129

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) MATUNGULU 1 41,017 6 ,860 7 2,601 3 8,401 9 ,860 2 ,996 3 3 - 9 ,737 3 96 1 33 Male 7 1,601 3 ,583 3 6,412 1 9,691 4 ,948 1 ,731 1 7 - 4 ,942 1 91 8 6 Female 6 9,413 3 ,277 3 6,187 1 8,709 4 ,912 1 ,265 1 6 - 4 ,795 2 05 4 7 MWALA 1 57,089 8 ,798 8 7,431 3 8,762 8 ,841 2 ,849 6 9 1 9 ,704 4 87 1 47 Male 7 9,772 4 ,647 4 3,547 1 9,877 4 ,516 1 ,789 3 2 1 5 ,058 2 31 7 4 Female 7 7,316 4 ,151 4 3,883 1 8,885 4 ,325 1 ,060 3 7 - 4 ,646 2 56 7 3 YATTA 1 44,405 6 ,932 8 1,384 3 4,451 8 ,358 2 ,778 7 7 - 9 ,711 4 70 2 44 Male 7 2,665 3 ,591 4 0,275 1 7,449 4 ,142 1 ,750 5 0 - 5 ,025 2 48 1 35 Female 7 1,739 3 ,341 4 1,108 1 7,002 4 ,216 1 ,028 2 7 - 4 ,686 2 22 1 09 MAKUENI 8 37,302 4 4,883 4 70,494 1 95,236 4 9,293 1 7,218 2 53 2 5 4,965 3 ,356 1 ,602 Male 4 20,302 2 3,044 2 32,854 9 7,989 2 4,676 1 0,750 1 23 1 2 8,269 1 ,708 8 88 Female 4 16,985 2 1,838 2 37,630 9 7,246 2 4,615 6 ,468 1 30 1 2 6,695 1 ,648 7 14 KATHONZWENI 6 7,132 3 ,524 3 8,281 1 5,085 4 ,009 1 ,274 1 3 - 4 ,347 4 36 1 63 Male 3 3,684 1 ,847 1 8,928 7 ,542 2 ,011 8 06 6 - 2 ,208 2 49 8 7 Female 3 3,445 1 ,677 1 9,350 7 ,543 1 ,998 4 68 7 - 2 ,139 1 87 7 6 KIBWEZI 1 63,384 9 ,538 9 7,331 3 4,804 6 ,935 2 ,709 4 4 - 1 1,157 5 99 2 67 Male 8 2,305 4 ,864 4 8,462 1 7,461 3 ,547 1 ,785 2 1 - 5 ,674 3 33 1 58 Female 8 1,075 4 ,674 4 8,866 1 7,343 3 ,387 9 24 2 3 - 5 ,483 2 66 1 09 KILUNGU 5 2,526 2 ,429 3 1,204 1 1,532 2 ,577 8 93 2 3 - 3 ,615 1 63 9 0 Male 2 5,443 1 ,208 1 4,761 5 ,647 1 ,279 5 48 1 4 - 1 ,871 6 6 4 9 Female 2 7,082 1 ,221 1 6,442 5 ,885 1 ,298 3 45 9 - 1 ,744 9 7 4 1 MAKINDU 7 0,628 3 ,852 3 9,795 1 5,853 4 ,140 1 ,536 3 4 1 4 ,966 2 50 2 01 Male 3 5,212 2 ,045 1 9,469 7 ,842 1 ,979 9 81 1 7 1 2 ,631 1 39 1 08 Female 3 5,416 1 ,807 2 0,326 8 ,011 2 ,161 5 55 1 7 - 2 ,335 1 11 9 3 MAKUENI 1 12,666 6 ,135 5 5,942 2 9,085 9 ,803 3 ,759 3 5 - 7 ,182 5 86 1 39 Male 5 7,095 3 ,156 2 8,067 1 4,572 4 ,912 2 ,244 1 6 - 3 ,765 2 82 8 1 Female 5 5,569 2 ,978 2 7,874 1 4,513 4 ,891 1 ,515 1 9 - 3 ,417 3 04 5 8 MBOONI EAST 8 3,425 5 ,317 4 6,619 1 9,163 4 ,852 1 ,490 4 4 - 5 ,464 2 98 1 78 Male 4 1,942 2 ,772 2 3,080 9 ,630 2 ,449 9 19 1 4 - 2 ,830 1 45 1 03 Female 4 1,482 2 ,545 2 3,539 9 ,533 2 ,403 5 71 3 0 - 2 ,633 1 53 7 5 MBOONI WEST 8 8,610 4 ,523 5 0,152 2 1,010 5 ,094 1 ,567 2 1 - 5 ,657 3 84 2 02 Male 4 3,407 2 ,330 2 4,146 1 0,292 2 ,514 9 65 1 3 - 2 ,865 1 70 1 12 Female 4 5,202 2 ,193 2 6,006 1 0,718 2 ,579 6 02 8 - 2 ,792 2 14 9 0 MUKAA 9 1,871 4 ,684 5 0,206 2 3,465 5 ,463 1 ,848 1 9 1 5 ,842 2 32 1 11 Male 4 7,042 2 ,366 2 5,373 1 2,157 2 ,796 1 ,150 1 1 - 3 ,013 1 17 5 9 Female 4 4,829 2 ,318 2 4,833 1 1,308 2 ,667 6 98 8 1 2 ,829 1 15 5 2 NZAUI 1 07,060 4 ,881 6 0,964 2 5,239 6 ,420 2 ,142 2 0 - 6 ,735 4 08 2 51 Male 5 4,172 2 ,456 3 0,568 1 2,846 3 ,189 1 ,352 1 1 - 3 ,412 2 07 1 31 Female 5 2,885 2 ,425 3 0,394 1 2,392 3 ,231 7 90 9 - 3 ,323 2 01 1 20 116

Page 130

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) NYANDARUA 5 54,036 2 2,418 3 04,961 1 46,945 2 7,565 9 ,751 6 8 1 4 0,873 1 ,211 2 43 Male 2 77,223 1 1,457 1 52,064 7 2,031 1 3,821 6 ,070 3 3 1 2 1,016 5 92 1 38 Female 2 76,797 1 0,960 1 52,887 7 4,911 1 3,744 3 ,681 3 5 - 1 9,856 6 19 1 04 KINANGOP 9 6,274 3 ,899 5 4,233 2 5,483 4 ,442 1 ,500 1 2 1 6 ,540 1 27 3 7 Male 4 7,838 2 ,004 2 6,910 1 2,417 2 ,169 9 26 8 1 3 ,318 6 4 2 1 Female 4 8,433 1 ,895 2 7,321 1 3,066 2 ,273 5 74 4 - 3 ,221 6 3 1 6 NYANDARUA SOUTH 8 1,756 3 ,371 4 5,396 2 1,028 4 ,305 1 ,640 6 - 5 ,829 1 66 1 5 Male 4 0,704 1 ,741 2 2,637 1 0,065 2 ,166 1 ,025 4 - 2 ,967 8 9 1 0 Female 4 1,049 1 ,630 2 2,758 1 0,961 2 ,139 6 15 2 - 2 ,862 7 7 5 MIRANGINE 5 7,966 2 ,391 3 2,617 1 5,110 2 ,262 6 43 5 - 4 ,816 9 4 2 8 Male 2 9,299 1 ,215 1 6,364 7 ,584 1 ,155 4 33 2 - 2 ,481 4 8 1 7 Female 2 8,666 1 ,176 1 6,252 7 ,526 1 ,107 2 10 3 - 2 ,335 4 6 1 1 KIPIPIRI 8 1,270 3 ,634 4 9,097 1 8,756 2 ,986 1 ,005 1 9 - 5 ,511 2 30 3 2 Male 4 0,745 1 ,867 2 4,515 9 ,220 1 ,558 6 28 6 - 2 ,829 1 06 1 6 Female 4 0,523 1 ,766 2 4,581 9 ,536 1 ,428 3 77 1 3 - 2 ,682 1 24 1 6 NYANDARUA CENTRAL 6 4,926 2 ,975 3 3,231 1 8,155 3 ,974 1 ,543 6 - 4 ,844 1 59 3 9 Male 3 2,684 1 ,501 1 6,687 8 ,909 1 ,948 9 50 3 - 2 ,580 8 5 2 1 Female 3 2,241 1 ,474 1 6,543 9 ,246 2 ,026 5 93 3 - 2 ,264 7 4 1 8 NYANDARUA WEST 8 5,804 2 ,896 4 4,130 2 4,806 5 ,026 1 ,851 9 - 6 ,883 1 69 3 4 Male 4 3,142 1 ,478 2 2,141 1 2,194 2 ,538 1 ,150 4 - 3 ,545 7 6 1 6 Female 4 2,658 1 ,418 2 1,985 1 2,612 2 ,488 7 01 5 - 3 ,338 9 3 1 8 NYANDARUA NORTH 8 6,026 3 ,252 4 6,253 2 3,600 4 ,567 1 ,569 1 1 - 6 ,450 2 66 5 8 Male 4 2,801 1 ,651 2 2,808 1 1,637 2 ,284 9 58 6 - 3 ,296 1 24 3 7 Female 4 3,223 1 ,601 2 3,445 1 1,962 2 ,283 6 11 5 - 3 ,154 1 42 2 0 ABERDARE NATIONAL PARK 1 4 - 4 7 3 - - - - - - Male 1 0 - 2 5 3 - - - - - - Female 4 - 2 2 - - - - - - - NYERI 6 69,179 2 1,243 3 10,058 2 13,006 5 8,744 2 2,341 6 6 - 4 0,928 2 ,170 6 23 Male 3 33,191 1 0,675 1 53,928 1 05,311 2 7,907 1 3,063 3 2 - 2 0,900 1 ,050 3 25 Female 3 35,963 1 0,568 1 56,110 1 07,691 3 0,837 9 ,278 3 4 - 2 0,027 1 ,120 2 98 TETU 7 1,556 3 ,104 3 3,512 2 3,066 5 ,595 1 ,634 1 0 - 4 ,366 2 22 4 7 Male 3 5,587 1 ,531 1 6,608 1 1,456 2 ,721 9 18 6 - 2 ,224 1 05 1 8 Female 3 5,967 1 ,573 1 6,903 1 1,609 2 ,874 7 16 4 - 2 ,142 1 17 2 9 KIENI EAST 9 7,363 3 ,155 4 7,288 3 0,514 7 ,564 2 ,319 1 1 - 6 ,219 2 37 5 6 Male 4 9,107 1 ,602 2 4,014 1 5,203 3 ,591 1 ,368 8 - 3 ,150 1 31 4 0 Female 4 8,252 1 ,553 2 3,272 1 5,310 3 ,973 9 51 3 - 3 ,068 1 06 1 6 117

Page 131

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) KIENI WEST 7 7,958 2 ,663 4 1,193 2 2,859 4 ,460 1 ,384 7 - 5 ,108 2 11 7 3 Male 3 9,101 1 ,357 2 0,472 1 1,377 2 ,260 8 18 2 - 2 ,667 1 05 4 3 Female 3 8,852 1 ,306 2 0,716 1 1,482 2 ,200 5 66 5 - 2 ,441 1 06 3 0 MATHIRA EAST 8 8,451 2 ,097 3 7,983 2 9,267 9 ,023 4 ,399 9 - 5 ,306 3 13 5 4 Male 4 3,328 9 96 1 8,616 1 4,040 4 ,236 2 ,612 3 - 2 ,652 1 46 2 7 Female 4 5,120 1 ,101 1 9,365 1 5,226 4 ,787 1 ,787 6 - 2 ,654 1 67 2 7 MATHIRA WEST 5 3,736 1 ,583 2 6,529 1 7,265 3 ,842 1 ,120 5 - 3 ,120 2 36 3 6 Male 2 6,800 8 30 1 3,145 8 ,553 1 ,897 6 33 3 - 1 ,627 1 00 1 2 Female 2 6,933 7 53 1 3,382 8 ,711 1 ,945 4 87 2 - 1 ,493 1 36 2 4 NYERI SOUTH 7 9,983 2 ,165 3 7,269 2 6,651 6 ,733 2 ,061 9 - 4 ,794 2 39 6 2 Male 3 9,530 1 ,038 1 8,243 1 3,203 3 ,241 1 ,187 2 - 2 ,487 9 8 3 1 Female 4 0,452 1 ,127 1 9,025 1 3,448 3 ,492 8 74 7 - 2 ,307 1 41 3 1 MUKURWE-INI 7 7,621 2 ,435 4 1,640 2 2,190 4 ,986 1 ,549 5 - 4 ,434 2 42 1 40 Male 3 9,162 1 ,244 2 0,656 1 1,270 2 ,595 9 68 3 - 2 ,244 1 12 7 0 Female 3 8,454 1 ,191 2 0,979 1 0,920 2 ,391 5 81 2 - 2 ,190 1 30 7 0 NYERI CENTRAL 1 22,241 4 ,037 4 4,573 4 1,061 1 6,497 7 ,867 1 0 - 7 ,571 4 70 1 55 Male 6 0,394 2 ,074 2 2,124 2 0,117 7 ,343 4 ,552 5 - 3 ,842 2 53 8 4 Female 6 1,845 1 ,963 2 2,447 2 0,944 9 ,154 3 ,315 5 - 3 ,729 2 17 7 1 MT. KENYA FOREST 1 74 4 6 1 7 4 2 5 2 - - 8 - - Male 1 15 3 4 2 5 1 1 2 2 - - 5 - - Female 5 9 1 1 9 2 3 1 3 - - - 3 - - ABERDARE FOREST 9 6 - 1 0 5 9 1 9 6 - - 2 - - Male 6 7 - 8 4 1 1 1 5 - - 2 - - Female 2 9 - 2 1 8 8 1 - - - - - KIRINYAGA 5 29,936 2 2,338 2 69,790 1 52,588 3 6,898 1 2,876 1 09 2 3 3,532 1 ,435 3 68 Male 2 66,723 1 1,433 1 35,224 7 6,131 1 8,299 7 ,710 5 1 1 1 6,924 7 37 2 13 Female 2 63,187 1 0,904 1 34,549 7 6,450 1 8,599 5 ,166 5 8 1 1 6,607 6 98 1 55 KIRINYAGA CENTRAL 1 06,657 4 ,090 4 9,899 3 2,226 9 ,501 3 ,715 1 1 - 6 ,784 3 31 1 00 Male 5 3,267 2 ,099 2 4,938 1 5,799 4 ,568 2 ,204 7 - 3 ,430 1 64 5 8 Female 5 3,386 1 ,991 2 4,958 1 6,426 4 ,933 1 ,511 4 - 3 ,354 1 67 4 2 KIRINYAGA EAST 1 18,613 6 ,097 5 8,493 3 6,057 8 ,160 2 ,586 1 7 - 6 ,842 2 80 8 1 Male 6 0,084 3 ,103 2 9,584 1 8,009 4 ,257 1 ,548 1 2 - 3 ,377 1 47 4 7 Female 5 8,521 2 ,993 2 8,905 1 8,045 3 ,903 1 ,038 5 - 3 ,465 1 33 3 4 KIRINYAGA WEST 1 00,427 3 ,645 5 1,022 2 9,449 7 ,046 2 ,338 2 0 2 6 ,561 2 93 5 1 Male 5 0,206 1 ,807 2 5,307 1 4,643 3 ,547 1 ,369 9 1 3 ,357 1 36 3 0 Female 5 0,218 1 ,838 2 5,712 1 4,806 3 ,499 9 69 1 1 1 3 ,204 1 57 2 1 118

Page 132

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) MWEA EAST 1 12,975 4 ,840 5 8,803 3 1,350 7 ,469 2 ,716 4 9 - 7 ,338 3 21 8 9 Male 5 6,761 2 ,500 2 9,614 1 5,505 3 ,526 1 ,645 2 2 - 3 ,723 1 80 4 6 Female 5 6,208 2 ,340 2 9,184 1 5,844 3 ,943 1 ,071 2 7 - 3 ,615 1 41 4 3 MWEA WEST 9 1,230 3 ,666 5 1,569 2 3,493 4 ,710 1 ,518 1 2 - 6 ,005 2 10 4 7 Male 4 6,381 1 ,924 2 5,777 1 2,166 2 ,391 9 43 1 - 3 ,037 1 10 3 2 Female 4 4,844 1 ,742 2 5,790 1 1,325 2 ,319 5 75 1 1 - 2 ,967 1 00 1 5 MT. KENYA FOREST 3 4 - 4 1 3 1 2 3 - - 2 - - Male 2 4 - 4 9 1 0 1 - - - - - Female 1 0 - - 4 2 2 - - 2 - - MURANG’A 9 11,765 3 6,770 5 00,277 2 44,592 5 2,257 1 7,886 1 23 2 5 6,716 2 ,556 5 86 Male 4 60,085 1 8,613 2 49,715 1 24,185 2 6,212 1 1,006 6 6 2 2 8,685 1 ,290 3 11 Female 4 51,651 1 8,157 2 50,547 1 20,403 2 6,042 6 ,879 5 7 - 2 8,026 1 ,265 2 75 MURANG’A EAST 9 3,767 3 ,552 4 8,148 2 5,303 7 ,626 3 ,286 1 8 1 5 ,516 2 53 6 4 Male 4 6,925 1 ,789 2 4,395 1 2,381 3 ,509 1 ,876 8 1 2 ,776 1 54 3 6 Female 4 6,841 1 ,763 2 3,753 1 2,922 4 ,117 1 ,410 1 0 - 2 ,739 9 9 2 8 KANGEMA 6 9,647 2 ,301 3 8,432 1 9,199 4 ,078 1 ,251 8 - 4 ,129 2 28 2 1 Male 3 5,032 1 ,166 1 9,045 9 ,740 2 ,083 7 96 5 - 2 ,078 1 06 1 3 Female 3 4,612 1 ,135 1 9,387 9 ,457 1 ,995 4 55 3 - 2 ,050 1 22 8 MATHIOYA 7 9,274 3 ,239 4 3,554 2 1,210 4 ,553 1 ,333 1 1 - 4 ,994 3 30 5 0 Male 3 9,849 1 ,647 2 1,807 1 0,528 2 ,354 8 24 4 - 2 ,510 1 48 2 7 Female 3 9,424 1 ,592 2 1,746 1 0,682 2 ,199 5 09 7 - 2 ,484 1 82 2 3 KAHURO 7 6,930 2 ,366 4 3,231 2 1,367 4 ,100 1 ,211 1 0 - 4 ,310 2 91 4 4 Male 3 8,565 1 ,134 2 1,353 1 0,826 2 ,122 7 78 4 - 2 ,197 1 32 1 9 Female 3 8,358 1 ,232 2 1,875 1 0,540 1 ,977 4 33 6 - 2 ,111 1 59 2 5 MURANG’A SOUTH 1 59,238 6 ,344 8 8,441 4 1,133 9 ,164 3 ,377 1 8 1 1 0,291 3 65 1 04 Male 8 0,265 3 ,238 4 4,109 2 0,837 4 ,508 2 ,094 1 3 1 5 ,230 1 82 5 3 Female 7 8,968 3 ,106 4 4,330 2 0,296 4 ,654 1 ,283 5 - 5 ,060 1 83 5 1 GATANGA 1 63,372 6 ,400 8 9,379 4 3,755 9 ,153 3 ,340 1 9 - 1 0,795 4 19 1 12 Male 8 3,337 3 ,248 4 4,963 2 2,780 4 ,591 2 ,011 1 2 - 5 ,443 2 30 5 9 Female 8 0,032 3 ,152 4 4,414 2 0,975 4 ,562 1 ,329 7 - 5 ,352 1 88 5 3 KIGUMO 1 18,165 5 ,634 6 5,792 3 1,796 5 ,742 1 ,778 2 1 - 7 ,065 2 52 8 5 Male 5 9,748 2 ,888 3 2,767 1 6,134 3 ,024 1 ,158 1 0 - 3 ,602 1 19 4 6 Female 5 8,414 2 ,746 3 3,023 1 5,662 2 ,718 6 19 1 1 - 3 ,463 1 33 3 9 KANDARA 1 51,331 6 ,931 8 3,294 4 0,804 7 ,836 2 ,310 1 8 - 9 ,614 4 18 1 06 Male 7 6,334 3 ,501 4 1,272 2 0,941 4 ,016 1 ,469 1 0 - 4 ,848 2 19 5 8 Female 7 4,991 3 ,430 4 2,017 1 9,862 3 ,820 8 41 8 - 4 ,766 1 99 4 8 ABERDARE FOREST 4 1 3 6 2 5 5 - - - 2 - - Male 3 0 2 4 1 8 5 - - - 1 - - Female 1 1 1 2 7 - - - - 1 - - 119

Page 133

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) KIAMBU 2 ,119,863 6 5,892 8 19,939 6 85,577 2 58,123 1 38,861 2 12 4 1 42,598 6 ,166 2 ,491 Male 1 ,044,944 3 3,212 4 00,056 3 40,395 1 17,289 7 6,927 8 3 2 7 2,249 3 ,380 1 ,351 Female 1 ,074,806 3 2,675 4 19,836 3 45,144 1 40,824 6 1,929 1 29 2 7 0,342 2 ,785 1 ,140 GATUNDU NORTH 9 5,276 4 ,413 4 9,088 2 8,270 5 ,795 1 ,398 1 2 - 5 ,878 3 11 1 11 Male 4 7,898 2 ,145 2 4,334 1 4,387 2 ,978 8 34 3 - 2 ,996 1 60 6 1 Female 4 7,376 2 ,268 2 4,754 1 3,882 2 ,816 5 64 9 - 2 ,882 1 51 5 0 GATUNDU SOUTH 1 05,449 3 ,137 5 4,119 3 2,293 7 ,187 1 ,764 1 9 - 6 ,440 3 63 1 27 Male 5 3,333 1 ,616 2 6,854 1 6,569 3 ,649 1 ,083 8 - 3 ,286 2 02 6 6 Female 5 2,112 1 ,521 2 7,264 1 5,722 3 ,538 6 81 1 1 - 3 ,153 1 61 6 1 GITHUNGURI 1 44,873 4 ,998 6 6,673 4 8,727 1 2,101 3 ,106 1 2 - 8 ,852 3 21 8 3 Male 7 2,888 2 ,571 3 3,437 2 4,641 5 ,781 1 ,771 3 - 4 ,485 1 57 4 2 Female 7 1,978 2 ,427 3 3,232 2 4,083 6 ,320 1 ,335 9 - 4 ,367 1 64 4 1 JUJA 2 65,949 8 ,556 9 2,608 8 5,218 3 7,625 2 1,710 2 8 - 1 8,981 8 42 3 81 Male 1 31,199 4 ,327 4 4,743 4 2,107 1 6,788 1 2,911 1 1 - 9 ,618 4 85 2 09 Female 1 34,731 4 ,229 4 7,858 4 3,103 2 0,833 8 ,799 1 7 - 9 ,363 3 57 1 72 KABETE 1 76,713 4 ,439 6 4,331 5 9,417 2 3,317 1 2,947 1 2 1 1 1,611 4 76 1 62 Male 8 6,641 2 ,219 3 1,344 2 9,422 1 0,476 6 ,983 4 - 5 ,848 2 60 8 5 Female 9 0,058 2 ,220 3 2,983 2 9,987 1 2,841 5 ,963 8 1 5 ,762 2 16 7 7 KIAMBAA 2 07,042 6 ,564 7 5,728 6 7,553 2 6,430 1 5,549 2 4 - 1 4,297 5 66 3 31 Male 1 01,843 3 ,311 3 6,863 3 4,322 1 1,550 8 ,063 1 5 - 7 ,245 2 96 1 78 Female 1 05,190 3 ,251 3 8,861 3 3,231 1 4,879 7 ,485 9 - 7 ,052 2 69 1 53 KIAMBU 1 27,372 3 ,560 4 4,834 3 8,892 1 8,653 1 2,745 1 1 - 8 ,106 3 89 1 82 Male 6 0,712 1 ,755 2 1,481 1 8,430 8 ,090 6 ,562 3 - 4 ,080 2 17 9 4 Female 6 6,647 1 ,805 2 3,348 2 0,456 1 0,562 6 ,183 8 - 4 ,025 1 72 8 8 KIKUYU 1 65,020 4 ,513 6 0,866 4 9,382 2 2,433 1 5,853 1 0 - 1 1,334 4 96 1 33 Male 8 0,241 2 ,323 2 9,510 2 3,996 9 ,964 8 ,373 2 - 5 ,733 2 70 7 0 Female 8 4,775 2 ,189 3 1,353 2 5,386 1 2,469 7 ,480 8 - 5 ,601 2 26 6 3 LARI 1 17,345 4 ,215 5 9,974 3 4,749 8 ,172 2 ,357 1 4 - 7 ,436 3 51 7 7 Male 5 8,938 2 ,129 2 9,743 1 7,597 4 ,053 1 ,378 5 - 3 ,800 1 85 4 8 Female 5 8,405 2 ,085 3 0,231 1 7,152 4 ,119 9 79 9 - 3 ,635 1 66 2 9 LIMURU 1 38,940 5 ,095 6 2,509 4 3,369 1 2,986 4 ,887 1 5 - 9 ,546 4 19 1 14 Male 7 0,268 2 ,622 3 1,575 2 2,337 5 ,967 2 ,648 4 - 4 ,845 2 03 6 7 Female 6 8,672 2 ,473 3 0,934 2 1,032 7 ,019 2 ,239 1 1 - 4 ,701 2 16 4 7 RUIRU 3 27,537 9 ,879 1 03,379 1 13,886 4 6,091 2 9,784 3 7 1 2 2,927 1 ,020 5 33 Male 1 59,022 4 ,884 4 8,540 5 5,273 2 1,002 1 6,806 1 7 1 1 1,590 6 05 3 04 Female 1 68,496 4 ,995 5 4,832 5 8,607 2 5,088 1 2,976 2 0 - 1 1,334 4 15 2 29 THIKA EAST 3 3,778 1 ,284 1 6,437 1 0,026 2 ,797 7 75 4 - 2 ,374 6 3 1 8 Male 1 7,320 6 66 8 ,288 5 ,301 1 ,362 4 65 4 - 1 ,187 3 7 1 0 Female 1 6,454 6 18 8 ,147 4 ,723 1 ,435 3 10 - - 1 ,187 2 6 8 120

Page 134

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) THIKA WEST 2 14,569 5 ,239 6 9,393 7 3,795 3 4,536 1 5,986 1 4 2 1 4,816 5 49 2 39 Male 1 04,641 2 ,644 3 3,344 3 6,013 1 5,629 9 ,050 4 1 7 ,536 3 03 1 17 Female 1 09,912 2 ,594 3 6,039 3 7,780 1 8,905 6 ,935 1 0 1 7 ,280 2 46 1 22 TURKANA 2 46,743 1 8,056 1 26,033 4 2,812 1 1,207 4 ,735 6 50 1 4 0,756 9 16 1 ,577 Male 1 34,242 9 ,079 6 5,802 2 6,732 7 ,006 3 ,504 3 51 - 2 0,384 5 45 8 39 Female 1 12,498 8 ,976 6 0,230 1 6,080 4 ,201 1 ,231 2 99 1 2 0,371 3 71 7 38 KIBISH 3 ,169 2 71 1 ,725 4 45 9 3 3 7 1 4 - 5 47 1 6 2 1 Male 1 ,902 1 33 1 ,008 3 38 7 1 2 8 8 - 2 91 9 1 6 Female 1 ,266 1 38 7 17 1 07 2 2 9 6 - 2 55 7 5 LOIMA 1 7,434 1 ,273 8 ,822 1 ,744 3 74 1 11 7 1 - 4 ,574 5 9 4 06 Male 9 ,108 6 26 4 ,455 1 ,130 2 50 9 2 4 3 - 2 ,279 3 6 1 97 Female 8 ,326 6 47 4 ,367 6 14 1 24 1 9 2 8 - 2 ,295 2 3 2 09 TURKANA CENTRAL 8 1,517 5 ,888 3 8,458 1 5,977 5 ,253 2 ,516 1 19 - 1 2,846 3 12 1 48 Male 4 2,842 2 ,921 1 9,294 9 ,168 2 ,936 1 ,805 6 3 - 6 ,385 1 83 8 7 Female 3 8,675 2 ,967 1 9,164 6 ,809 2 ,317 7 11 5 6 - 6 ,461 1 29 6 1 TURKANA EAST 2 0,823 1 ,489 1 0,332 4 ,583 1 ,133 3 23 8 1 1 2 ,501 1 00 2 80 Male 1 1,534 7 67 5 ,435 2 ,769 7 48 2 53 5 4 - 1 ,307 5 1 1 50 Female 9 ,289 7 22 4 ,897 1 ,814 3 85 7 0 2 7 1 1 ,194 4 9 1 30 TURKANA NORTH 1 1,892 1 ,123 5 ,549 1 ,372 4 62 1 39 6 6 - 3 ,107 3 1 4 3 Male 6 ,748 5 65 3 ,127 9 48 3 33 1 15 3 4 - 1 ,575 2 5 2 6 Female 5 ,144 5 58 2 ,422 4 24 1 29 2 4 3 2 - 1 ,532 6 1 7 TURKANA SOUTH 4 1,268 3 ,008 2 1,557 7 ,247 1 ,761 6 13 1 02 - 6 ,750 7 7 1 53 Male 2 1,587 1 ,457 1 0,580 4 ,420 1 ,189 4 74 5 4 - 3 ,282 4 3 8 8 Female 1 9,679 1 ,550 1 0,976 2 ,827 5 72 1 39 4 8 - 3 ,468 3 4 6 5 TURKANA WEST 7 0,640 5 ,004 3 9,590 1 1,444 2 ,131 9 96 1 97 - 1 0,431 3 21 5 26 Male 4 0,521 2 ,610 2 1,903 7 ,959 1 ,479 7 37 9 5 - 5 ,265 1 98 2 75 Female 3 0,119 2 ,394 1 7,687 3 ,485 6 52 2 59 1 02 - 5 ,166 1 23 2 51 WEST POKOT 3 28,752 2 6,768 1 80,941 4 8,507 1 2,995 5 ,905 5 15 1 5 1,949 5 06 6 65 Male 1 68,629 1 3,541 8 9,949 2 7,411 6 ,671 3 ,764 2 68 1 2 6,377 2 96 3 51 Female 1 60,116 1 3,226 9 0,987 2 1,096 6 ,324 2 ,141 2 47 - 2 5,571 2 10 3 14 KIPKOMO 6 7,450 4 ,684 3 9,452 9 ,195 2 ,486 9 65 1 11 - 1 0,336 1 03 1 18 Male 3 4,453 2 ,402 1 9,601 5 ,160 1 ,231 6 33 6 3 - 5 ,238 5 9 6 6 Female 3 2,993 2 ,282 1 9,847 4 ,035 1 ,255 3 32 4 8 - 5 ,098 4 4 5 2 POKOT CENTRAL 5 8,170 4 ,240 3 5,720 6 ,062 1 ,503 4 67 7 0 - 9 ,979 5 2 7 7 Male 3 0,580 2 ,204 1 8,323 3 ,615 9 28 3 30 3 4 - 5 ,080 2 8 3 8 Female 2 7,589 2 ,036 1 7,396 2 ,447 5 75 1 37 3 6 - 4 ,899 2 4 3 9 121

Page 135

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) POKOT NORTH 3 3,944 2 ,890 1 8,158 4 ,292 1 ,156 4 33 4 5 1 6 ,823 4 1 1 05 Male 1 7,446 1 ,393 8 ,854 2 ,704 7 12 3 16 2 4 1 3 ,373 2 1 4 8 Female 1 6,498 1 ,497 9 ,304 1 ,588 4 44 1 17 2 1 - 3 ,450 2 0 5 7 POKOT SOUTH 5 6,673 4 ,419 3 1,261 8 ,626 2 ,275 7 73 7 9 - 9 ,076 7 4 9 0 Male 2 8,727 2 ,252 1 5,280 4 ,739 1 ,162 5 18 3 2 - 4 ,650 4 8 4 6 Female 2 7,944 2 ,166 1 5,981 3 ,887 1 ,113 2 55 4 7 - 4 ,425 2 6 4 4 WEST POKOT 1 12,515 1 0,535 5 6,350 2 0,332 5 ,575 3 ,267 2 10 - 1 5,735 2 36 2 75 Male 5 7,423 5 ,290 2 7,891 1 1,193 2 ,638 1 ,967 1 15 - 8 ,036 1 40 1 53 Female 5 5,092 5 ,245 2 8,459 9 ,139 2 ,937 1 ,300 9 5 - 7 ,699 9 6 1 22 SAMBURU 1 20,230 9 ,441 5 8,228 2 0,750 6 ,176 2 ,613 1 48 - 2 2,229 3 45 3 00 Male 6 5,075 4 ,825 3 0,075 1 2,563 3 ,744 1 ,854 8 9 - 1 1,549 2 11 1 65 Female 5 5,154 4 ,616 2 8,153 8 ,187 2 ,432 7 59 5 9 - 1 0,679 1 34 1 35 SAMBURU CENTRAL 7 7,389 5 ,722 3 8,119 1 3,291 3 ,949 1 ,908 7 0 - 1 3,880 2 18 2 32 Male 4 1,684 2 ,900 1 9,743 7 ,945 2 ,271 1 ,317 4 5 - 7 ,206 1 31 1 26 Female 3 5,705 2 ,822 1 8,376 5 ,346 1 ,678 5 91 2 5 - 6 ,674 8 7 1 06 SAMBURU EAST 2 5,288 1 ,961 1 2,277 4 ,485 1 ,466 4 35 3 5 - 4 ,489 9 1 4 9 Male 1 3,688 1 ,009 6 ,295 2 ,709 9 07 3 18 2 3 - 2 ,342 5 7 2 8 Female 1 1,600 9 52 5 ,982 1 ,776 5 59 1 17 1 2 - 2 ,147 3 4 2 1 SAMBURU NORTH 1 7,553 1 ,758 7 ,832 2 ,974 7 61 2 70 4 3 - 3 ,860 3 6 1 9 Male 9 ,703 9 16 4 ,037 1 ,909 5 66 2 19 2 1 - 2 ,001 2 3 1 1 Female 7 ,849 8 42 3 ,795 1 ,065 1 95 5 1 2 2 - 1 ,858 1 3 8 TRANS NZOIA 8 07,667 5 3,584 4 31,851 1 82,554 3 7,608 1 8,580 4 42 1 8 0,160 1 ,512 1 ,375 Male 4 00,680 2 6,744 2 10,971 9 1,074 1 7,835 1 1,357 2 38 1 4 0,846 8 79 7 35 Female 4 06,969 2 6,838 2 20,869 9 1,477 1 9,772 7 ,223 2 04 - 3 9,313 6 33 6 40 TRANS NZOIA WEST 1 65,100 8 ,202 8 9,139 4 0,080 7 ,678 3 ,177 3 7 - 1 6,179 3 05 3 03 Male 8 2,214 4 ,127 4 3,295 2 0,403 3 ,785 2 ,002 2 1 - 8 ,231 1 86 1 64 Female 8 2,883 4 ,075 4 5,842 1 9,676 3 ,893 1 ,175 1 6 - 7 ,948 1 19 1 39 TRANS NZOIA EAST 1 87,681 8 ,824 1 04,162 4 3,337 8 ,557 4 ,089 5 7 1 1 7,847 4 00 4 07 Male 9 3,324 4 ,511 5 1,085 2 1,624 4 ,049 2 ,517 3 0 1 9 ,083 2 19 2 05 Female 9 4,351 4 ,311 5 3,074 2 1,713 4 ,508 1 ,572 2 7 - 8 ,763 1 81 2 02 KWANZA 1 63,735 1 6,789 8 4,278 3 4,275 7 ,163 3 ,303 2 08 - 1 7,043 3 74 3 02 Male 8 1,182 8 ,339 4 1,219 1 6,921 3 ,450 2 ,063 1 12 - 8 ,696 2 13 1 69 Female 8 2,550 8 ,450 4 3,058 1 7,353 3 ,712 1 ,240 9 6 - 8 ,347 1 61 1 33 ENDEBESS 8 7,680 8 ,467 5 1,126 1 4,608 2 ,108 8 62 5 9 - 1 0,222 1 13 1 15 Male 4 4,520 4 ,184 2 5,235 7 ,960 1 ,131 6 05 3 0 - 5 ,245 6 9 6 1 Female 4 3,157 4 ,283 2 5,888 6 ,648 9 77 2 57 2 9 - 4 ,977 4 4 5 4 KIMININI 2 03,471 1 1,302 1 03,146 5 0,254 1 2,102 7 ,149 8 1 - 1 8,869 3 20 2 48 Male 9 9,440 5 ,583 5 0,137 2 4,166 5 ,420 4 ,170 4 5 - 9 ,591 1 92 1 36 Female 1 04,028 5 ,719 5 3,007 2 6,087 6 ,682 2 ,979 3 6 - 9 ,278 1 28 1 12 122

Page 136

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) UASIN GISHU 9 82,670 4 3,537 4 48,585 2 66,209 8 8,308 4 8,856 3 28 6 8 3,392 2 ,148 1 ,301 Male 4 91,510 2 2,206 2 23,415 1 34,529 3 9,932 2 6,374 1 75 3 4 2,987 1 ,161 7 28 Female 4 91,139 2 1,331 2 25,165 1 31,673 4 8,373 2 2,479 1 53 3 4 0,403 9 87 5 72 AINABKOI 1 17,289 4 ,858 5 1,897 3 1,360 1 1,631 7 ,500 3 2 - 9 ,657 2 59 9 5 Male 5 8,348 2 ,426 2 6,095 1 5,634 5 ,193 3 ,798 1 6 - 4 ,997 1 42 4 7 Female 5 8,941 2 ,432 2 5,802 1 5,726 6 ,438 3 ,702 1 6 - 4 ,660 1 17 4 8 KAPSERET 1 71,715 6 ,143 6 9,354 5 1,007 2 0,164 1 1,456 3 7 - 1 2,910 3 76 2 68 Male 8 6,038 3 ,091 3 4,623 2 6,031 9 ,282 6 ,028 1 8 - 6 ,610 2 10 1 45 Female 8 5,673 3 ,052 3 4,730 2 4,974 1 0,881 5 ,428 1 9 - 6 ,300 1 66 1 23 KESSES 1 25,458 5 ,915 6 2,591 3 0,470 9 ,423 5 ,396 2 6 - 1 1,300 2 59 7 8 Male 6 3,271 3 ,127 3 1,477 1 5,351 4 ,264 2 ,961 1 3 - 5 ,907 1 28 4 3 Female 6 2,184 2 ,788 3 1,113 1 5,119 5 ,158 2 ,434 1 3 - 5 ,393 1 31 3 5 MOIBEN 1 52,275 5 ,862 6 6,472 4 1,659 1 5,547 1 0,063 6 1 1 1 2,132 2 78 2 00 Male 7 5,484 2 ,934 3 3,262 2 0,672 6 ,673 5 ,448 2 9 1 6 ,212 1 48 1 05 Female 7 6,789 2 ,928 3 3,208 2 0,987 8 ,874 4 ,615 3 2 - 5 ,920 1 30 9 5 SOY 1 92,028 9 ,764 9 8,152 4 7,852 1 2,012 5 ,690 8 3 2 1 7,860 3 66 2 47 Male 9 6,177 5 ,067 4 8,896 2 3,928 5 ,453 3 ,215 4 2 1 9 ,223 1 97 1 55 Female 9 5,846 4 ,697 4 9,256 2 3,923 6 ,558 2 ,474 4 1 1 8 ,636 1 69 9 1 TURBO 2 23,905 1 0,995 1 00,119 6 3,861 1 9,531 8 ,751 8 9 3 1 9,533 6 10 4 13 Male 1 12,192 5 ,561 4 9,062 3 2,913 9 ,067 4 ,924 5 7 1 1 0,038 3 36 2 33 Female 1 11,706 5 ,434 5 1,056 3 0,944 1 0,464 3 ,826 3 2 2 9 ,494 2 74 1 80 ELGEYO/MARAKWET 3 63,177 2 2,797 1 93,605 7 8,023 1 9,913 7 ,821 2 29 1 3 9,336 8 08 6 44 Male 1 83,740 1 1,781 9 6,142 4 0,644 9 ,548 4 ,452 1 31 1 2 0,217 4 72 3 52 Female 1 79,428 1 1,015 9 7,458 3 7,378 1 0,364 3 ,368 9 8 - 1 9,119 3 36 2 92 KEIYO NORTH 8 3,235 4 ,781 4 1,173 2 0,522 6 ,011 2 ,526 1 7 - 7 ,910 2 06 8 9 Male 4 1,815 2 ,471 2 0,618 1 0,390 2 ,680 1 ,344 1 0 - 4 ,129 1 26 4 7 Female 4 1,419 2 ,310 2 0,554 1 0,132 3 ,331 1 ,182 7 - 3 ,781 8 0 4 2 KEIYO SOUTH 1 00,537 6 ,846 5 3,041 2 2,680 5 ,813 2 ,129 5 7 - 9 ,289 2 78 4 04 Male 5 1,261 3 ,558 2 6,940 1 1,649 2 ,789 1 ,114 3 2 - 4 ,791 1 68 2 20 Female 4 9,273 3 ,288 2 6,101 1 1,030 3 ,023 1 ,014 2 5 - 4 ,498 1 10 1 84 MARAKWET EAST 7 0,984 5 ,328 3 8,935 1 2,431 2 ,690 1 ,016 8 1 1 1 0,310 1 61 3 1 Male 3 5,834 2 ,707 1 8,659 6 ,949 1 ,393 6 69 4 2 1 5 ,310 8 6 1 8 Female 3 5,149 2 ,620 2 0,276 5 ,482 1 ,297 3 47 3 9 - 5 ,000 7 5 1 3 MARAKWET WEST 1 08,421 5 ,842 6 0,456 2 2,390 5 ,399 2 ,150 7 4 - 1 1,827 1 63 1 20 Male 5 4,830 3 ,045 2 9,925 1 1,656 2 ,686 1 ,325 4 7 - 5 ,987 9 2 6 7 Female 5 3,587 2 ,797 3 0,527 1 0,734 2 ,713 8 25 2 7 - 5 ,840 7 1 5 3 123

Page 137

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) NANDI 7 44,256 4 9,297 4 09,504 1 52,581 4 2,676 1 7,229 5 18 4 6 9,531 1 ,796 1 ,120 Male 3 73,405 2 5,091 2 02,804 7 7,805 2 0,192 9 ,956 2 86 2 3 5,665 9 82 6 22 Female 3 70,835 2 4,206 2 06,687 7 4,775 2 2,484 7 ,273 2 32 2 3 3,864 8 14 4 98 CHESUMEI 1 40,057 7 ,662 7 3,354 3 2,577 9 ,943 4 ,499 5 5 1 1 1,581 2 67 1 18 Male 6 9,601 3 ,919 3 6,217 1 6,297 4 ,526 2 ,470 3 6 1 5 ,915 1 48 7 2 Female 7 0,453 3 ,743 3 7,135 1 6,280 5 ,417 2 ,029 1 9 - 5 ,665 1 19 4 6 NANDI CENTRAL 1 23,620 9 ,404 6 5,934 2 5,410 7 ,635 3 ,611 1 80 - 1 0,769 5 58 1 19 Male 6 1,703 4 ,798 3 2,574 1 2,813 3 ,481 2 ,092 8 8 - 5 ,509 2 90 5 8 Female 6 1,913 4 ,606 3 3,357 1 2,596 4 ,154 1 ,519 9 2 - 5 ,260 2 68 6 1 NANDI EAST 1 01,090 7 ,785 5 4,101 2 0,401 6 ,226 2 ,381 4 9 1 9 ,752 2 00 1 94 Male 5 1,192 3 ,978 2 6,913 1 0,699 2 ,994 1 ,371 3 1 1 4 ,994 1 13 9 8 Female 4 9,896 3 ,807 2 7,186 9 ,702 3 ,232 1 ,010 1 8 - 4 ,758 8 7 9 6 NANDI NORTH 1 38,862 7 ,730 7 8,372 2 9,100 7 ,036 2 ,733 6 7 1 1 3,282 2 87 2 54 Male 6 9,415 3 ,885 3 8,693 1 4,789 3 ,301 1 ,569 3 5 - 6 ,838 1 69 1 36 Female 6 9,444 3 ,845 3 9,676 1 4,311 3 ,735 1 ,164 3 2 1 6 ,444 1 18 1 18 NANDI SOUTH 1 45,263 1 0,149 8 0,981 2 8,838 7 ,671 2 ,631 1 03 1 1 4,285 3 41 2 63 Male 7 2,624 5 ,138 4 0,096 1 4,335 3 ,789 1 ,584 6 1 - 7 ,293 1 76 1 52 Female 7 2,636 5 ,011 4 0,882 1 4,503 3 ,882 1 ,047 4 2 1 6 ,992 1 65 1 11 TINDERET 9 5,364 6 ,567 5 6,762 1 6,255 4 ,165 1 ,374 6 4 - 9 ,862 1 43 1 72 Male 4 8,870 3 ,373 2 8,311 8 ,872 2 ,101 8 70 3 5 - 5 ,116 8 6 1 06 Female 4 6,493 3 ,194 2 8,451 7 ,383 2 ,064 5 04 2 9 - 4 ,745 5 7 6 6 BARINGO 4 45,727 2 4,456 2 26,431 1 00,918 3 1,394 1 2,366 3 22 2 4 7,670 1 ,279 8 89 Male 2 27,913 1 2,548 1 14,103 5 2,734 1 5,091 7 ,267 1 77 1 2 4,838 6 75 4 79 Female 2 17,804 1 1,908 1 12,324 4 8,182 1 6,302 5 ,099 1 45 - 2 2,830 6 04 4 10 BARINGO CENTRAL 8 1,414 3 ,687 3 7,990 2 0,971 8 ,201 3 ,408 1 4 - 6 ,757 2 94 9 2 Male 4 0,778 1 ,843 1 8,943 1 0,609 3 ,772 1 ,914 6 - 3 ,500 1 44 4 7 Female 4 0,636 1 ,844 1 9,047 1 0,362 4 ,429 1 ,494 8 - 3 ,257 1 50 4 5 BARINGO NORTH 8 2,312 4 ,405 4 4,545 1 7,096 5 ,473 1 ,704 3 8 1 8 ,573 2 31 2 46 Male 4 2,037 2 ,269 2 2,294 8 ,817 2 ,798 1 ,063 1 6 - 4 ,527 1 17 1 36 Female 4 0,273 2 ,136 2 2,250 8 ,279 2 ,675 6 41 2 2 - 4 ,046 1 14 1 10 EAST POKOT 1 5,563 1 ,342 7 ,388 2 ,606 6 70 2 96 5 3 - 3 ,030 4 2 1 36 Male 8 ,572 7 18 3 ,918 1 ,596 4 04 2 05 3 4 - 1 ,602 2 4 7 1 Female 6 ,990 6 24 3 ,470 1 ,010 2 66 9 1 1 9 - 1 ,427 1 8 6 5 KOIBATEK 1 11,168 5 ,213 5 5,879 2 8,505 8 ,074 3 ,367 2 6 1 9 ,757 2 24 1 22 Male 5 6,265 2 ,645 2 8,189 1 4,627 3 ,676 1 ,883 1 6 1 5 ,037 1 28 6 3 Female 5 4,901 2 ,568 2 7,689 1 3,877 4 ,398 1 ,484 1 0 - 4 ,720 9 6 5 9 MARIGAT 6 6,652 4 ,253 3 5,848 1 3,034 3 ,177 1 ,200 4 4 - 8 ,891 9 0 1 15 Male 3 4,272 2 ,108 1 7,852 7 ,136 1 ,620 7 98 2 0 - 4 ,627 4 5 6 6 Female 3 2,377 2 ,145 1 7,995 5 ,897 1 ,556 4 02 2 4 - 4 ,264 4 5 4 9 124

Page 138

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) MOGOTIO 7 2,874 4 ,191 3 7,051 1 6,475 5 ,048 2 ,081 5 2 - 7 ,652 2 32 9 2 Male 3 7,248 2 ,213 1 8,805 8 ,525 2 ,335 1 ,181 3 4 - 3 ,978 1 23 5 4 Female 3 5,624 1 ,978 1 8,245 7 ,950 2 ,713 9 00 1 8 - 3 ,673 1 09 3 8 TIATY EAST 1 5,744 1 ,365 7 ,730 2 ,231 7 51 3 10 9 5 - 3 ,010 1 66 8 6 Male 8 ,741 7 52 4 ,102 1 ,424 4 86 2 23 5 1 - 1 ,567 9 4 4 2 Female 7 ,003 6 13 3 ,628 8 07 2 65 8 7 4 4 - 1 ,443 7 2 4 4 LAIKIPIA 3 96,236 1 6,969 2 00,605 1 06,500 2 5,252 1 0,222 1 19 - 3 4,848 1 ,328 3 93 Male 2 01,391 8 ,727 1 00,927 5 4,346 1 2,446 6 ,065 6 4 - 1 7,882 7 13 2 21 Female 1 94,837 8 ,242 9 9,673 5 2,153 1 2,806 4 ,157 5 5 - 1 6,964 6 15 1 72 LAIKIPIA CENTRAL 8 2,872 2 ,639 4 1,933 2 4,296 5 ,997 1 ,892 8 - 5 ,782 2 29 9 6 Male 4 1,828 1 ,396 2 1,130 1 2,134 2 ,894 1 ,112 4 - 3 ,001 1 07 5 0 Female 4 1,044 1 ,243 2 0,803 1 2,162 3 ,103 7 80 4 - 2 ,781 1 22 4 6 LAIKIPIA EAST 8 1,439 2 ,728 3 7,031 2 4,895 7 ,244 2 ,915 3 1 - 6 ,279 2 38 7 8 Male 4 1,595 1 ,417 1 8,492 1 3,132 3 ,529 1 ,656 1 6 - 3 ,177 1 35 4 1 Female 3 9,839 1 ,311 1 8,535 1 1,763 3 ,715 1 ,259 1 5 - 3 ,101 1 03 3 7 LAIKIPIA NORTH 1 6,261 1 ,034 8 ,841 2 ,327 4 75 1 48 1 2 - 3 ,357 4 8 1 9 Male 8 ,901 5 40 4 ,775 1 ,418 2 93 1 08 5 - 1 ,714 3 4 1 4 Female 7 ,360 4 94 4 ,066 9 09 1 82 4 0 7 - 1 ,643 1 4 5 LAIKIPIA WEST 8 5,629 4 ,679 4 7,688 1 9,098 3 ,294 1 ,190 4 4 - 9 ,092 4 14 1 30 Male 4 4,371 2 ,433 2 4,291 1 0,090 1 ,778 7 57 2 5 - 4 ,706 2 17 7 4 Female 4 1,257 2 ,246 2 3,396 9 ,008 1 ,516 4 33 1 9 - 4 ,386 1 97 5 6 NYAHURURU 1 30,035 5 ,889 6 5,112 3 5,884 8 ,242 4 ,077 2 4 - 1 0,338 3 99 7 0 Male 6 4,696 2 ,941 3 2,239 1 7,572 3 ,952 2 ,432 1 4 - 5 ,284 2 20 4 2 Female 6 5,337 2 ,948 3 2,873 1 8,311 4 ,290 1 ,645 1 0 - 5 ,053 1 79 2 8 NAKURU 1 ,817,950 8 6,017 8 84,543 4 98,450 1 27,430 5 7,798 3 62 4 1 56,250 4 ,494 2 ,602 Male 9 10,222 4 3,492 4 34,439 2 54,694 5 9,495 3 3,819 1 65 3 8 0,224 2 ,467 1 ,424 Female 9 07,648 4 2,520 4 50,066 2 43,730 6 7,932 2 3,976 1 97 1 7 6,022 2 ,027 1 ,177 GILGIL 1 55,494 8 ,527 7 3,083 4 6,883 9 ,866 3 ,629 3 4 - 1 2,742 4 51 2 79 Male 7 8,968 4 ,312 3 5,972 2 5,072 4 ,563 2 ,088 1 4 - 6 ,555 2 36 1 56 Female 7 6,519 4 ,214 3 7,107 2 1,809 5 ,303 1 ,541 2 0 - 6 ,187 2 15 1 23 KURESOI NORTH 1 44,244 8 ,526 8 6,318 2 8,112 4 ,250 1 ,549 4 4 - 1 5,111 2 06 1 28 Male 7 2,651 4 ,360 4 2,230 1 4,803 2 ,272 1 ,011 2 2 - 7 ,769 1 15 6 9 Female 7 1,590 4 ,165 4 4,088 1 3,307 1 ,978 5 38 2 2 - 7 ,342 9 1 5 9 KURESOI SOUTH 1 27,475 8 ,537 7 3,526 2 4,780 5 ,174 2 ,116 3 7 - 1 2,845 2 04 2 56 Male 6 4,618 4 ,412 3 6,034 1 3,120 2 ,698 1 ,384 1 9 - 6 ,671 1 29 1 51 Female 6 2,855 4 ,124 3 7,491 1 1,660 2 ,476 7 32 1 8 - 6 ,174 7 5 1 05 125

Page 139

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) MOLO 1 32,470 6 ,204 7 2,276 3 3,617 5 ,792 2 ,458 3 2 - 1 1,593 2 58 2 40 Male 6 6,760 3 ,196 3 5,878 1 7,144 2 ,861 1 ,516 1 8 - 5 ,863 1 57 1 27 Female 6 5,705 3 ,008 3 6,397 1 6,470 2 ,931 9 42 1 4 - 5 ,729 1 01 1 13 NAIVASHA 2 95,597 1 3,069 1 35,759 9 2,185 2 2,075 7 ,567 3 8 - 2 3,577 9 05 4 22 Male 1 48,476 6 ,450 6 6,444 4 7,380 1 0,857 4 ,526 1 8 - 1 2,080 5 00 2 21 Female 1 47,096 6 ,619 6 9,301 4 4,797 1 1,218 3 ,039 2 0 - 1 1,497 4 05 2 00 NAKURU EAST 1 67,180 5 ,172 5 8,102 5 4,965 2 3,894 1 2,141 1 6 1 1 2,008 5 47 3 34 Male 7 9,609 2 ,529 2 7,355 2 6,539 9 ,987 6 ,635 8 1 6 ,076 3 02 1 77 Female 8 7,563 2 ,643 3 0,742 2 8,423 1 3,907 5 ,506 8 - 5 ,932 2 45 1 57 NAKURU NORTH 1 86,999 7 ,721 8 5,673 5 4,608 1 6,184 6 ,898 2 7 1 1 5,132 5 17 2 38 Male 9 1,722 3 ,856 4 1,885 2 6,600 7 ,108 4 ,084 9 - 7 ,774 2 72 1 34 Female 9 5,263 3 ,865 4 3,781 2 8,002 9 ,076 2 ,814 1 8 1 7 ,357 2 45 1 04 NAKURU WEST 1 67,901 5 ,734 6 5,448 5 8,613 1 6,856 7 ,593 1 8 - 1 2,897 4 99 2 43 Male 8 5,621 2 ,869 3 2,572 3 0,866 7 ,940 4 ,423 8 - 6 ,518 2 86 1 39 Female 8 2,272 2 ,864 3 2,874 2 7,745 8 ,914 3 ,170 1 0 - 6 ,378 2 13 1 04 NJORO 2 01,002 1 0,550 1 13,885 4 3,181 7 ,787 4 ,727 5 5 1 2 0,224 4 29 1 63 Male 1 00,999 5 ,380 5 6,181 2 1,973 3 ,864 2 ,923 2 5 1 1 0,352 2 11 8 9 Female 1 00,000 5 ,169 5 7,703 2 1,208 3 ,923 1 ,803 3 0 - 9 ,872 2 18 7 4 RONGAI 1 67,895 7 ,833 7 9,932 4 4,562 1 2,673 8 ,006 3 6 - 1 4,310 3 13 2 30 Male 8 4,779 3 ,994 3 9,976 2 2,600 5 ,863 4 ,515 1 2 - 7 ,517 1 76 1 26 Female 8 3,112 3 ,839 3 9,954 2 1,962 6 ,809 3 ,491 2 4 - 6 ,792 1 37 1 04 SUBUKIA 7 1,693 4 ,144 4 0,541 1 6,944 2 ,879 1 ,114 2 5 1 5 ,811 1 65 6 9 Male 3 6,019 2 ,134 1 9,912 8 ,597 1 ,482 7 14 1 2 1 3 ,049 8 3 3 5 Female 3 5,673 2 ,010 2 0,628 8 ,347 1 ,397 4 00 1 3 - 2 ,762 8 2 3 4 NAROK 7 50,610 6 3,320 4 11,482 1 22,446 2 9,664 1 1,918 6 29 - 1 08,204 1 ,474 1 ,473 Male 3 85,487 3 1,766 2 05,132 6 7,546 1 5,820 7 ,811 3 38 - 5 5,375 8 45 8 54 Female 3 65,113 3 1,554 2 06,347 5 4,897 1 3,843 4 ,106 2 91 - 5 2,827 6 29 6 19 NAROK EAST 6 9,566 5 ,303 3 8,687 1 1,457 2 ,577 8 06 3 5 - 1 0,269 2 64 1 68 Male 3 6,269 2 ,742 1 9,702 6 ,300 1 ,412 5 90 1 5 - 5 ,280 1 39 8 9 Female 3 3,297 2 ,561 1 8,985 5 ,157 1 ,165 2 16 2 0 - 4 ,989 1 25 7 9 NAROK NORTH 1 71,884 1 2,213 8 6,287 3 5,798 1 0,019 5 ,019 8 6 - 2 1,483 4 90 4 89 Male 8 8,857 6 ,298 4 4,038 1 9,156 4 ,820 3 ,036 5 0 - 1 0,877 2 90 2 92 Female 8 3,021 5 ,915 4 2,248 1 6,640 5 ,198 1 ,983 3 6 - 1 0,604 2 00 1 97 NAROK SOUTH 1 42,614 1 3,040 8 1,432 2 0,026 4 ,402 1 ,518 1 48 - 2 1,689 1 83 1 76 Male 7 3,278 6 ,545 4 0,488 1 1,322 2 ,421 1 ,036 8 9 - 1 1,159 1 06 1 12 Female 6 9,335 6 ,495 4 0,944 8 ,703 1 ,981 4 82 5 9 - 1 0,530 7 7 6 4 NAROK WEST 1 07,281 8 ,996 6 1,363 1 4,217 3 ,425 1 ,308 7 6 - 1 7,516 1 99 1 81 Male 5 5,867 4 ,581 3 0,944 8 ,151 1 ,977 9 25 4 1 - 9 ,025 1 17 1 06 Female 5 1,413 4 ,415 3 0,419 6 ,066 1 ,448 3 82 3 5 - 8 ,491 8 2 7 5 TRANS MARA EAST 8 3,904 8 ,132 5 0,536 1 0,269 2 ,438 9 33 1 41 - 1 1,256 9 9 1 00 Male 4 1,905 3 ,926 2 4,213 5 ,697 1 ,398 6 54 6 5 - 5 ,828 6 2 6 2 Female 4 1,998 4 ,206 2 6,322 4 ,572 1 ,040 2 79 7 6 - 5 ,428 3 7 3 8 126

Page 140

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) TRANS MARA WEST 1 75,329 1 5,636 9 3,176 3 0,657 6 ,796 2 ,332 1 43 - 2 5,991 2 39 3 59 Male 8 9,283 7 ,674 4 5,746 1 6,901 3 ,785 1 ,569 7 8 - 1 3,206 1 31 1 93 Female 8 6,045 7 ,962 4 7,429 1 3,756 3 ,011 7 63 6 5 - 1 2,785 1 08 1 66 MAU FOREST 3 2 - 1 2 2 7 2 - - - - - Male 2 8 - 1 1 9 7 1 - - - - - Female 4 - - 3 - 1 - - - - - KAJIADO 8 20,583 4 3,012 3 34,149 2 20,627 8 2,644 4 9,215 3 88 3 8 4,627 3 ,100 2 ,818 Male 4 14,248 2 1,785 1 65,935 1 12,603 3 9,188 2 8,237 1 96 3 4 3,030 1 ,712 1 ,559 Female 4 06,310 2 1,226 1 68,204 1 08,019 4 3,453 2 0,974 1 92 - 4 1,595 1 ,388 1 ,259 ISINYA 1 75,419 5 ,195 5 9,988 5 9,076 2 2,265 1 2,693 7 2 - 1 3,844 9 22 1 ,364 Male 8 7,444 2 ,697 2 9,316 2 9,583 1 0,373 7 ,297 3 0 - 6 ,925 5 11 7 12 Female 8 7,970 2 ,498 3 0,670 2 9,491 1 1,892 5 ,395 4 2 - 6 ,919 4 11 6 52 KAJIADO CENTRAL 1 00,957 6 ,878 4 7,364 2 0,819 6 ,635 2 ,409 7 0 3 1 5,857 5 11 4 11 Male 5 2,946 3 ,482 2 4,336 1 1,475 3 ,515 1 ,497 4 5 3 8 ,047 2 91 2 55 Female 4 8,010 3 ,396 2 3,027 9 ,344 3 ,120 9 12 2 5 - 7 ,810 2 20 1 56 KAJIADO NORTH 2 69,219 8 ,799 9 1,039 8 4,137 3 7,049 2 7,823 4 2 - 1 8,996 8 63 4 71 Male 1 31,968 4 ,353 4 3,615 4 1,548 1 6,617 1 5,501 2 0 - 9 ,579 4 81 2 54 Female 1 37,240 4 ,446 4 7,420 4 2,588 2 0,429 1 2,319 2 2 - 9 ,417 3 82 2 17 KAJIADO WEST 1 10,635 7 ,853 5 0,465 2 4,631 8 ,038 3 ,624 5 1 - 1 5,344 3 00 3 29 Male 5 7,365 4 ,030 2 5,685 1 3,121 4 ,016 2 ,220 2 8 - 7 ,897 1 79 1 89 Female 5 3,266 3 ,822 2 4,778 1 1,509 4 ,022 1 ,404 2 3 - 7 ,447 1 21 1 40 LOITOKITOK 1 17,737 1 0,656 6 3,372 2 0,510 5 ,377 1 ,626 1 05 - 1 5,531 3 91 1 69 Male 6 0,277 5 ,346 3 1,740 1 0,870 2 ,918 1 ,090 4 6 - 7 ,975 1 91 1 01 Female 5 7,457 5 ,310 3 1,631 9 ,639 2 ,459 5 36 5 9 - 7 ,555 2 00 6 8 MASHUURU 4 6,616 3 ,631 2 1,921 1 1,454 3 ,280 1 ,040 4 8 - 5 ,055 1 13 7 4 Male 2 4,248 1 ,877 1 1,243 6 ,006 1 ,749 6 32 2 7 - 2 ,607 5 9 4 8 Female 2 2,367 1 ,754 1 0,678 5 ,448 1 ,531 4 08 2 1 - 2 ,447 5 4 2 6 KERICHO 7 61,280 4 0,246 4 07,704 1 74,656 5 0,155 2 2,045 2 43 - 6 4,016 1 ,318 8 97 Male 3 83,958 2 0,448 1 99,521 9 1,483 2 5,335 1 3,001 1 25 - 3 2,785 7 68 4 92 Female 3 77,298 1 9,796 2 08,167 8 3,168 2 4,820 9 ,044 1 18 - 3 1,230 5 50 4 05 BELGUT 1 26,487 6 ,282 6 5,717 3 1,872 9 ,543 4 ,225 1 7 - 8 ,592 1 66 7 3 Male 6 3,851 3 ,236 3 1,981 1 6,849 4 ,864 2 ,405 9 - 4 ,378 9 4 3 5 Female 6 2,636 3 ,046 3 3,736 1 5,023 4 ,679 1 ,820 8 - 4 ,214 7 2 3 8 BURETI 1 70,168 8 ,587 8 8,030 4 2,381 1 1,651 5 ,121 6 1 - 1 3,892 2 72 1 73 Male 8 4,965 4 ,358 4 2,733 2 1,589 5 ,914 3 ,016 3 0 - 7 ,064 1 59 1 02 Female 8 5,199 4 ,228 4 5,294 2 0,792 5 ,737 2 ,105 3 1 - 6 ,828 1 13 7 1 KERICHO EAST 1 44,922 5 ,676 7 2,506 3 6,280 1 2,322 6 ,435 3 9 - 1 1,175 3 03 1 86 Male 7 3,884 2 ,933 3 6,155 1 9,155 5 ,914 3 ,732 1 9 - 5 ,702 1 70 1 04 Female 7 1,032 2 ,743 3 6,346 1 7,124 6 ,408 2 ,703 2 0 - 5 ,473 1 33 8 2 127

Page 141

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) KIPKELION 9 9,231 6 ,545 5 6,936 1 8,734 4 ,284 1 ,671 5 0 - 1 0,582 2 04 2 25 Male 5 0,186 3 ,258 2 7,866 9 ,971 2 ,308 1 ,102 2 8 - 5 ,422 1 11 1 20 Female 4 9,042 3 ,287 2 9,068 8 ,762 1 ,976 5 69 2 2 - 5 ,160 9 3 1 05 LONDIANI 1 15,539 7 ,349 6 3,856 2 5,289 6 ,069 2 ,358 2 2 - 1 0,275 2 03 1 18 Male 5 8,013 3 ,713 3 1,296 1 3,153 3 ,031 1 ,387 9 - 5 ,234 1 25 6 5 Female 5 7,516 3 ,635 3 2,554 1 2,134 3 ,038 9 71 1 3 - 5 ,040 7 8 5 3 SOIN SIGOWET 1 04,933 5 ,807 6 0,659 2 0,100 6 ,286 2 ,235 5 4 - 9 ,500 1 70 1 22 Male 5 3,059 2 ,950 2 9,490 1 0,766 3 ,304 1 ,359 3 0 - 4 ,985 1 09 6 6 Female 5 1,873 2 ,857 3 1,169 9 ,333 2 ,982 8 76 2 4 - 4 ,515 6 1 5 6 BOMET 7 30,765 4 0,702 4 07,459 1 52,152 4 4,191 1 8,307 2 10 3 6 5,560 1 ,296 8 85 Male 3 67,044 2 0,595 1 95,605 8 1,140 2 3,098 1 1,307 1 12 - 3 3,997 7 15 4 75 Female 3 63,704 2 0,107 2 11,841 7 1,010 2 1,093 7 ,000 9 8 3 3 1,561 5 81 4 10 BOMET EAST 1 16,913 6 ,773 6 9,080 2 0,722 6 ,081 2 ,378 4 2 2 1 1,360 2 42 2 33 Male 5 8,544 3 ,455 3 2,640 1 1,343 3 ,207 1 ,581 2 1 - 6 ,053 1 25 1 19 Female 5 8,364 3 ,318 3 6,436 9 ,379 2 ,874 7 97 2 1 2 5 ,306 1 17 1 14 CHEPALUNGU 1 34,977 8 ,631 8 0,015 2 3,329 6 ,735 2 ,767 3 8 - 1 3,086 2 11 1 65 Male 6 6,615 4 ,326 3 7,365 1 2,563 3 ,604 1 ,775 2 1 - 6 ,747 1 19 9 5 Female 6 8,359 4 ,305 4 2,647 1 0,766 3 ,131 9 92 1 7 - 6 ,339 9 2 7 0 KONOIN 1 39,219 7 ,875 7 5,686 3 1,527 8 ,451 3 ,584 4 8 - 1 1,645 2 46 1 57 Male 7 1,443 3 ,980 3 7,532 1 6,972 4 ,458 2 ,190 2 6 - 6 ,082 1 27 7 6 Female 6 7,773 3 ,895 3 8,151 1 4,555 3 ,993 1 ,394 2 2 - 5 ,563 1 19 8 1 SOTIK 1 91,969 1 0,360 1 03,113 4 3,029 1 2,419 5 ,188 4 7 1 1 7,236 3 87 1 89 Male 9 5,879 5 ,278 4 9,487 2 2,328 6 ,413 3 ,186 2 3 - 8 ,821 2 32 1 11 Female 9 6,087 5 ,082 5 3,625 2 0,700 6 ,006 2 ,002 2 4 1 8 ,414 1 55 7 8 BOMET CENTRAL 1 47,687 7 ,063 7 9,565 3 3,545 1 0,505 4 ,390 3 5 - 1 2,233 2 10 1 41 Male 7 4,563 3 ,556 3 8,581 1 7,934 5 ,416 2 ,575 2 1 - 6 ,294 1 12 7 4 Female 7 3,121 3 ,507 4 0,982 1 5,610 5 ,089 1 ,815 1 4 - 5 ,939 9 8 6 7 KAKAMEGA 1 ,540,079 9 5,203 8 71,892 3 07,854 7 0,741 3 1,321 8 33 2 1 57,022 3 ,308 1 ,903 Male 7 48,263 4 7,829 4 17,759 1 45,749 3 4,311 1 8,852 4 59 1 8 0,486 1 ,819 9 98 Female 7 91,786 4 7,373 4 54,114 1 62,102 3 6,429 1 2,469 3 74 1 7 6,530 1 ,489 9 05 BUTERE 1 25,735 7 ,813 7 4,859 2 2,760 4 ,838 1 ,758 7 0 - 1 3,306 2 37 9 4 Male 6 1,302 3 ,944 3 5,830 1 0,841 2 ,515 1 ,102 4 2 - 6 ,834 1 39 5 5 Female 6 4,431 3 ,869 3 9,027 1 1,919 2 ,323 6 56 2 8 - 6 ,472 9 8 3 9 KAKAMEGA CENTRAL 1 60,124 8 ,514 7 3,693 3 9,317 1 4,171 9 ,789 8 6 - 1 3,879 4 19 2 56 Male 7 8,850 4 ,225 3 6,095 1 8,924 6 ,536 5 ,518 5 2 - 7 ,117 2 43 1 40 Female 8 1,272 4 ,289 3 7,597 2 0,393 7 ,635 4 ,271 3 4 - 6 ,761 1 76 1 16 128

Page 142

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) KAKAMEGA EAST 1 37,680 8 ,427 8 2,087 2 5,522 5 ,884 1 ,988 7 4 - 1 3,215 2 21 2 62 Male 6 7,017 4 ,389 3 9,457 1 1,885 2 ,929 1 ,197 4 3 - 6 ,869 1 18 1 30 Female 7 0,660 4 ,038 4 2,629 1 3,636 2 ,954 7 91 3 1 - 6 ,346 1 03 1 32 KAKAMEGA NORTH 2 00,695 1 5,990 1 09,557 4 1,407 8 ,762 2 ,976 1 44 - 2 1,295 3 31 2 33 Male 9 7,982 8 ,032 5 2,828 1 9,739 4 ,327 1 ,846 8 9 - 1 0,811 1 90 1 20 Female 1 02,708 7 ,958 5 6,726 2 1,668 4 ,435 1 ,130 5 5 - 1 0,482 1 41 1 13 KAKAMEGA SOUTH 9 2,328 5 ,015 5 4,050 1 7,898 4 ,438 1 ,434 4 9 1 9 ,226 1 49 6 8 Male 4 4,571 2 ,580 2 5,718 8 ,288 2 ,167 8 87 2 8 - 4 ,788 7 1 4 4 Female 4 7,757 2 ,435 2 8,332 9 ,610 2 ,271 5 47 2 1 1 4 ,438 7 8 2 4 KHWISERO 9 4,315 4 ,825 5 8,715 1 7,035 2 ,987 1 ,046 1 1 - 9 ,358 2 92 4 6 Male 4 5,348 2 ,434 2 7,886 7 ,835 1 ,545 6 92 5 - 4 ,777 1 51 2 3 Female 4 8,964 2 ,390 3 0,828 9 ,200 1 ,442 3 54 6 - 4 ,580 1 41 2 3 LIKUYANI 1 26,184 9 ,343 6 7,505 2 8,617 5 ,500 2 ,446 1 03 - 1 1,938 4 78 2 54 Male 6 1,457 4 ,716 3 2,616 1 3,488 2 ,576 1 ,473 4 9 - 6 ,141 2 62 1 36 Female 6 4,725 4 ,627 3 4,888 1 5,128 2 ,924 9 73 5 4 - 5 ,797 2 16 1 18 LUGARI 1 03,752 5 ,870 5 6,474 2 4,867 5 ,127 1 ,822 6 6 - 9 ,246 2 08 7 2 Male 5 0,314 2 ,928 2 7,323 1 1,696 2 ,398 1 ,082 3 1 - 4 ,708 1 10 3 8 Female 5 3,438 2 ,942 2 9,151 1 3,171 2 ,729 7 40 3 5 - 4 ,538 9 8 3 4 MATETE 5 3,800 2 ,883 3 0,657 1 1,406 2 ,126 7 48 2 9 - 5 ,739 1 03 1 09 Male 2 6,058 1 ,453 1 4,671 5 ,339 1 ,023 4 83 1 5 - 2 ,947 6 7 6 0 Female 2 7,742 1 ,430 1 5,986 6 ,067 1 ,103 2 65 1 4 - 2 ,792 3 6 4 9 MATUNGU 1 29,809 7 ,084 8 0,236 2 1,397 3 ,934 1 ,626 5 0 1 1 5,197 1 38 1 46 Male 6 2,646 3 ,512 3 8,051 1 0,235 1 ,905 1 ,049 2 3 1 7 ,708 8 4 7 8 Female 6 7,160 3 ,572 4 2,183 1 1,162 2 ,029 5 77 2 7 - 7 ,488 5 4 6 8 MUMIAS EAST 9 5,765 5 ,215 5 6,620 1 7,184 4 ,115 1 ,878 3 5 - 1 0,513 1 40 6 5 Male 4 6,604 2 ,579 2 6,985 8 ,266 2 ,034 1 ,189 1 8 - 5 ,425 7 4 3 4 Female 4 9,158 2 ,636 2 9,632 8 ,918 2 ,081 6 89 1 7 - 5 ,088 6 6 3 1 MUMIAS WEST 9 3,820 6 ,983 5 1,837 1 7,923 4 ,414 2 ,336 4 8 - 1 0,038 1 40 1 01 Male 4 5,482 3 ,392 2 4,741 8 ,614 2 ,041 1 ,366 2 6 - 5 ,182 7 0 5 0 Female 4 8,337 3 ,591 2 7,095 9 ,309 2 ,373 9 70 2 2 - 4 ,856 7 0 5 1 NAVAKHOLO 1 26,072 7 ,241 7 5,602 2 2,521 4 ,445 1 ,474 6 8 - 1 4,072 4 52 1 97 Male 6 0,632 3 ,645 3 5,558 1 0,599 2 ,315 9 68 3 8 - 7 ,179 2 40 9 0 Female 6 5,434 3 ,596 4 0,040 1 1,921 2 ,130 5 06 3 0 - 6 ,892 2 12 1 07 VIHIGA 5 02,269 3 2,648 2 81,893 1 07,602 2 4,665 9 ,590 2 37 2 4 3,701 1 ,365 5 66 Male 2 43,452 1 6,404 1 35,227 5 0,536 1 2,067 5 ,849 1 24 2 2 2,234 6 96 3 13 Female 2 58,808 1 6,244 1 46,661 5 7,065 1 2,596 3 ,741 1 13 - 2 1,466 6 69 2 53 EMUHAYA 8 1,673 5 ,978 4 7,872 1 5,435 3 ,114 1 ,112 3 0 - 7 ,849 2 10 7 3 Male 3 9,406 2 ,938 2 2,834 7 ,135 1 ,575 7 10 1 9 - 4 ,032 1 18 4 5 Female 4 2,266 3 ,040 2 5,037 8 ,300 1 ,539 4 02 1 1 - 3 ,817 9 2 2 8 129

Page 143

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) VIHIGA 8 2,039 3 ,405 4 5,263 1 9,311 4 ,910 1 ,843 2 8 - 6 ,936 2 42 1 01 Male 3 9,569 1 ,715 2 1,552 9 ,067 2 ,387 1 ,114 1 8 - 3 ,552 1 13 5 1 Female 4 2,468 1 ,690 2 3,710 1 0,244 2 ,522 7 29 1 0 - 3 ,384 1 29 5 0 SABATIA 1 13,939 6 ,183 6 2,641 2 6,961 6 ,265 2 ,460 2 3 - 8 ,980 3 24 1 02 Male 5 4,898 3 ,077 2 9,860 1 2,737 3 ,001 1 ,468 1 1 - 4 ,537 1 48 5 9 Female 5 9,040 3 ,106 3 2,781 1 4,224 3 ,264 9 92 1 2 - 4 ,442 1 76 4 3 LUANDA 8 9,866 7 ,307 4 9,102 1 8,675 4 ,344 1 ,698 3 9 - 8 ,360 2 42 9 9 Male 4 3,850 3 ,749 2 3,652 8 ,759 2 ,199 1 ,033 2 0 - 4 ,244 1 37 5 7 Female 4 6,014 3 ,558 2 5,449 9 ,915 2 ,145 6 65 1 9 - 4 ,116 1 05 4 2 HAMISI 1 34,736 9 ,775 7 7,013 2 7,209 6 ,029 2 ,477 1 17 2 1 1,576 3 47 1 91 Male 6 5,717 4 ,925 3 7,328 1 2,829 2 ,903 1 ,524 5 6 2 5 ,869 1 80 1 01 Female 6 9,016 4 ,850 3 9,683 1 4,380 3 ,125 9 53 6 1 - 5 ,707 1 67 9 0 KAKAMEGA FOREST 1 6 - 2 1 1 3 - - - - - - Male 1 2 - 1 9 2 - - - - - - Female 4 - 1 2 1 - - - - - - BUNGOMA 1 ,371,156 8 2,508 7 35,200 3 05,720 6 9,584 2 8,992 7 91 3 1 43,844 2 ,219 2 ,295 Male 6 70,362 4 0,789 3 51,525 1 49,597 3 4,340 1 7,884 4 12 1 7 3,318 1 ,246 1 ,250 Female 7 00,766 4 1,716 3 83,661 1 56,117 3 5,243 1 1,108 3 79 2 7 0,522 9 73 1 ,045 BUMULA 1 72,337 1 3,855 9 9,885 3 0,745 6 ,298 2 ,022 1 09 1 1 9,055 1 90 1 77 Male 8 3,438 6 ,714 4 7,198 1 5,015 3 ,225 1 ,325 6 7 1 9 ,668 1 12 1 13 Female 8 8,898 7 ,141 5 2,686 1 5,730 3 ,073 6 97 4 2 - 9 ,387 7 8 6 4 BUNGOMA CENTRAL 1 47,962 8 ,588 7 8,954 3 4,534 7 ,417 2 ,387 6 1 - 1 5,373 2 17 4 31 Male 7 2,091 4 ,246 3 7,577 1 6,730 3 ,788 1 ,576 3 4 - 7 ,792 1 17 2 31 Female 7 5,866 4 ,342 4 1,375 1 7,802 3 ,628 8 11 2 7 - 7 ,581 1 00 2 00 BUNGOMA EAST 9 7,994 5 ,527 5 0,871 2 3,983 5 ,006 1 ,988 3 9 - 1 0,219 1 88 1 73 Male 4 7,819 2 ,818 2 4,349 1 1,624 2 ,394 1 ,194 1 9 - 5 ,208 1 12 1 01 Female 5 0,173 2 ,709 2 6,521 1 2,358 2 ,612 7 94 2 0 - 5 ,011 7 6 7 2 BUNGOMA NORTH 1 02,879 4 ,589 5 5,882 2 5,177 5 ,177 2 ,053 3 3 - 9 ,766 1 35 6 7 Male 4 9,950 2 ,377 2 6,733 1 1,814 2 ,583 1 ,301 1 5 - 5 ,014 7 6 3 7 Female 5 2,928 2 ,212 2 9,149 1 3,362 2 ,594 7 52 1 8 - 4 ,752 5 9 3 0 BUNGOMA SOUTH 2 32,497 1 1,869 1 09,857 5 7,675 1 8,310 1 0,400 2 23 1 2 3,224 4 81 4 57 Male 1 13,113 5 ,760 5 2,481 2 7,800 8 ,499 6 ,140 1 20 - 1 1,792 2 79 2 42 Female 1 19,380 6 ,109 5 7,373 2 9,874 9 ,811 4 ,260 1 03 1 1 1,432 2 02 2 15 CHEPTAIS 1 07,151 7 ,582 6 2,471 1 8,914 2 ,968 9 99 8 4 - 1 3,666 1 44 3 23 Male 5 3,943 3 ,740 3 0,264 1 0,259 1 ,628 6 97 4 3 - 7 ,061 7 5 1 76 Female 5 3,203 3 ,841 3 2,205 8 ,655 1 ,340 3 02 4 1 - 6 ,603 6 9 1 47 KIMILILI 1 31,584 8 ,615 6 9,512 3 0,479 6 ,584 2 ,781 7 3 1 1 3,030 3 37 1 72 Male 6 3,964 4 ,235 3 3,311 1 4,624 3 ,224 1 ,693 3 3 - 6 ,580 1 79 8 5 Female 6 7,617 4 ,378 3 6,200 1 5,855 3 ,360 1 ,088 4 0 1 6 ,450 1 58 8 7 130

Page 144

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) MT. ELGON 6 4,470 3 ,103 3 6,824 1 3,740 2 ,791 1 ,142 2 8 - 6 ,778 3 1 3 3 Male 3 2,347 1 ,562 1 7,825 7 ,314 1 ,417 7 33 1 4 - 3 ,448 1 7 1 7 Female 3 2,120 1 ,541 1 8,997 6 ,426 1 ,374 4 09 1 4 - 3 ,329 1 4 1 6 BUNGOMA WEST 9 8,358 5 ,592 5 6,048 1 9,893 4 ,051 1 ,190 9 1 - 1 1,103 1 52 2 38 Male 4 8,203 2 ,798 2 6,621 9 ,953 2 ,135 7 97 4 2 - 5 ,651 8 3 1 23 Female 5 0,154 2 ,794 2 9,426 9 ,940 1 ,916 3 93 4 9 - 5 ,452 6 9 1 15 TONGAREN 8 3,916 4 ,496 4 5,665 2 0,040 4 ,110 1 ,397 2 0 - 7 ,979 1 60 4 9 Male 4 0,937 2 ,309 2 1,956 9 ,488 2 ,094 8 94 7 - 4 ,082 8 0 2 7 Female 4 2,978 2 ,187 2 3,709 1 0,551 2 ,016 5 03 1 3 - 3 ,897 8 0 2 2 WEBUYE WEST 1 29,406 8 ,622 6 7,389 3 0,237 6 ,851 2 ,623 2 8 - 1 3,302 1 81 1 73 Male 6 3,162 4 ,202 3 2,230 1 4,796 3 ,340 1 ,529 1 7 - 6 ,837 1 14 9 7 Female 6 6,242 4 ,420 3 5,158 1 5,441 3 ,511 1 ,094 1 1 - 6 ,464 6 7 7 6 MT. ELGON FOREST 2 ,602 7 0 1 ,842 3 03 2 1 1 0 2 - 3 49 3 2 Male 1 ,395 2 8 9 80 1 80 1 3 5 1 - 1 85 2 1 Female 1 ,207 4 2 8 62 1 23 8 5 1 - 1 64 1 1 BUSIA 7 12,283 4 9,016 4 06,074 1 36,243 2 9,375 1 2,155 4 16 3 7 7,230 1 ,069 7 02 Male 3 46,688 2 3,629 1 91,628 6 9,006 1 4,690 7 ,582 2 37 2 3 8,932 5 80 4 02 Female 3 65,573 2 5,385 2 14,432 6 7,235 1 4,685 4 ,573 1 79 1 3 8,294 4 89 3 00 BUNYALA 6 9,899 4 ,572 4 1,287 1 2,586 2 ,443 9 01 2 4 - 7 ,864 1 44 7 8 Male 3 4,803 2 ,181 1 9,524 6 ,986 1 ,394 6 29 1 1 - 3 ,943 7 8 5 7 Female 3 5,095 2 ,391 2 1,762 5 ,600 1 ,049 2 72 1 3 - 3 ,921 6 6 2 1 BUSIA 1 11,961 6 ,334 6 2,052 2 3,707 5 ,744 2 ,588 4 0 - 1 1,210 1 46 1 40 Male 5 4,529 3 ,090 2 9,443 1 1,869 2 ,780 1 ,578 1 6 - 5 ,607 7 0 7 6 Female 5 7,431 3 ,243 3 2,609 1 1,838 2 ,964 1 ,010 2 4 - 5 ,603 7 6 6 4 BUTULA 1 08,839 1 0,179 6 3,124 1 8,253 3 ,510 1 ,557 1 05 1 1 1,835 1 86 8 9 Male 5 1,941 4 ,793 2 9,408 8 ,791 1 ,728 1 ,009 6 5 1 5 ,996 1 01 4 9 Female 5 6,896 5 ,386 3 3,715 9 ,461 1 ,782 5 48 4 0 - 5 ,839 8 5 4 0 NAMBALE 8 9,790 5 ,512 5 3,030 1 6,681 3 ,588 1 ,681 4 1 1 9 ,015 1 27 1 14 Male 4 3,172 2 ,769 2 5,010 8 ,036 1 ,697 1 ,024 2 4 1 4 ,471 7 6 6 4 Female 4 6,615 2 ,743 2 8,017 8 ,645 1 ,891 6 57 1 7 - 4 ,544 5 1 5 0 SAMIA 8 5,399 6 ,343 4 9,234 1 5,856 3 ,256 1 ,279 6 1 - 9 ,184 1 36 5 0 Male 4 1,813 2 ,991 2 3,147 8 ,349 1 ,741 8 49 4 1 - 4 ,595 7 6 2 4 Female 4 3,574 3 ,351 2 6,079 7 ,507 1 ,515 4 30 2 0 - 4 ,586 6 0 2 6 TESO NORTH 1 13,783 6 ,640 6 3,085 2 4,552 5 ,030 1 ,748 5 2 1 1 2,421 1 84 7 0 Male 5 5,450 3 ,230 2 9,675 1 2,526 2 ,471 1 ,073 2 6 - 6 ,307 1 02 4 0 Female 5 8,332 3 ,410 3 3,410 1 2,026 2 ,559 6 75 2 6 1 6 ,113 8 2 3 0 TESO SOUTH 1 32,612 9 ,436 7 4,262 2 4,608 5 ,804 2 ,401 9 3 - 1 5,701 1 46 1 61 Male 6 4,980 4 ,575 3 5,421 1 2,449 2 ,879 1 ,420 5 4 - 8 ,013 7 7 9 2 Female 6 7,630 4 ,861 3 8,840 1 2,158 2 ,925 9 81 3 9 - 7 ,688 6 9 6 9 131

Page 145

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) SIAYA 8 24,640 4 5,208 4 84,845 1 57,416 3 1,637 1 4,819 2 18 6 8 7,251 1 ,880 1 ,360 Male 3 99,523 2 2,184 2 27,211 7 7,742 1 6,374 9 ,655 1 20 2 4 4,475 1 ,035 7 25 Female 4 25,101 2 3,024 2 57,624 7 9,672 1 5,261 5 ,164 9 8 4 4 2,774 8 45 6 35 SIAYA 1 83,103 1 0,053 1 08,404 3 3,606 7 ,362 3 ,516 4 1 - 1 9,333 5 32 2 56 Male 8 8,402 4 ,946 5 0,788 1 6,427 3 ,659 2 ,246 2 2 - 9 ,881 2 99 1 34 Female 9 4,697 5 ,107 5 7,614 1 7,177 3 ,703 1 ,270 1 9 - 9 ,452 2 33 1 22 GEM 1 50,388 7 ,601 9 2,190 2 7,017 5 ,247 2 ,381 1 7 2 1 5,516 2 46 1 71 Male 7 3,231 3 ,852 4 3,648 1 3,221 2 ,713 1 ,576 7 - 7 ,977 1 34 1 03 Female 7 7,154 3 ,749 4 8,541 1 3,796 2 ,534 8 05 1 0 2 7 ,537 1 12 6 8 UGENYA 1 08,513 5 ,921 6 6,949 1 9,045 3 ,057 1 ,520 3 6 - 1 1,718 1 60 1 07 Male 5 2,294 2 ,936 3 1,239 9 ,310 1 ,591 1 ,003 2 3 - 6 ,049 8 7 5 6 Female 5 6,215 2 ,985 3 5,708 9 ,735 1 ,464 5 17 1 3 - 5 ,669 7 3 5 1 UGUNJA 8 6,090 4 ,483 5 0,731 1 6,703 3 ,266 1 ,551 2 4 - 8 ,995 2 38 9 9 Male 4 1,391 2 ,188 2 3,595 8 ,273 1 ,656 9 94 1 2 - 4 ,495 1 27 5 1 Female 4 4,699 2 ,295 2 7,136 8 ,430 1 ,610 5 57 1 2 - 4 ,500 1 11 4 8 BONDO 1 67,724 9 ,211 9 3,517 3 4,959 7 ,657 3 ,814 5 0 4 1 7,683 4 31 3 98 Male 8 1,899 4 ,453 4 3,980 1 7,517 4 ,017 2 ,468 2 7 2 8 ,988 2 42 2 05 Female 8 5,822 4 ,758 4 9,534 1 7,442 3 ,640 1 ,346 2 3 2 8 ,695 1 89 1 93 RARIEDA 1 28,822 7 ,939 7 3,054 2 6,086 5 ,048 2 ,037 5 0 - 1 4,006 2 73 3 29 Male 6 2,306 3 ,809 3 3,961 1 2,994 2 ,738 1 ,368 2 9 - 7 ,085 1 46 1 76 Female 6 6,514 4 ,130 3 9,091 1 3,092 2 ,310 6 69 2 1 - 6 ,921 1 27 1 53 KISUMU 9 78,105 5 3,362 4 81,724 2 36,991 6 9,207 3 6,298 3 32 2 9 7,158 1 ,800 1 ,231 Male 4 78,889 2 6,015 2 27,318 1 18,712 3 4,237 2 1,556 1 79 - 4 9,221 1 ,007 6 44 Female 4 99,198 2 7,347 2 54,395 1 18,274 3 4,970 1 4,740 1 53 2 4 7,937 7 93 5 87 KISUMU EAST 1 89,994 8 ,603 8 4,724 5 1,866 1 7,508 8 ,403 4 6 1 1 8,309 3 18 2 16 Male 9 3,726 4 ,166 4 0,239 2 6,179 8 ,609 4 ,944 2 5 - 9 ,278 1 84 1 02 Female 9 6,264 4 ,437 4 4,483 2 5,685 8 ,899 3 ,459 2 1 1 9 ,031 1 34 1 14 KISUMU CENTRAL 1 51,206 4 ,397 5 4,494 4 6,601 2 0,162 1 3,117 1 5 1 1 1,764 4 61 1 94 Male 7 2,527 2 ,148 2 5,141 2 2,651 9 ,196 7 ,228 8 - 5 ,809 2 48 9 8 Female 7 8,675 2 ,249 2 9,352 2 3,948 1 0,966 5 ,888 7 1 5 ,955 2 13 9 6 KISUMU WEST 1 45,629 7 ,983 7 2,200 3 6,548 9 ,583 5 ,048 5 7 - 1 3,688 2 52 2 70 Male 7 2,142 3 ,929 3 4,364 1 8,616 4 ,863 3 ,038 2 7 - 7 ,001 1 57 1 47 Female 7 3,484 4 ,054 3 7,833 1 7,932 4 ,720 2 ,010 3 0 - 6 ,687 9 5 1 23 SEME 1 01,033 6 ,920 5 8,179 1 9,439 3 ,746 1 ,648 5 3 - 1 0,834 1 39 7 5 Male 4 8,927 3 ,339 2 7,242 9 ,688 1 ,960 1 ,092 2 4 - 5 ,471 7 2 3 9 Female 5 2,105 3 ,581 3 0,937 9 ,751 1 ,786 5 55 2 9 - 5 ,363 6 7 3 6 132

Page 146

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) MUHORONI 1 27,218 7 ,931 7 1,306 2 5,605 5 ,412 2 ,226 5 4 - 1 4,277 2 22 1 85 Male 6 4,017 3 ,921 3 4,618 1 3,441 3 ,036 1 ,472 3 3 - 7 ,278 1 23 9 5 Female 6 3,200 4 ,010 3 6,687 1 2,164 2 ,376 7 54 2 1 - 6 ,999 9 9 9 0 NYANDO 1 35,494 8 ,996 7 3,113 2 8,896 6 ,619 2 ,981 5 8 - 1 4,487 1 95 1 49 Male 6 5,799 4 ,338 3 4,334 1 4,215 3 ,332 1 ,908 3 3 - 7 ,455 1 05 7 9 Female 6 9,691 4 ,658 3 8,776 1 4,680 3 ,287 1 ,073 2 5 - 7 ,032 9 0 7 0 NYAKACH 1 27,531 8 ,532 6 7,708 2 8,036 6 ,177 2 ,875 4 9 - 1 3,799 2 13 1 42 Male 6 1,751 4 ,174 3 1,380 1 3,922 3 ,241 1 ,874 2 9 - 6 ,929 1 18 8 4 Female 6 5,779 4 ,358 3 6,327 1 4,114 2 ,936 1 ,001 2 0 - 6 ,870 9 5 5 8 HOMA BAY 9 36,435 5 0,944 5 14,752 1 85,148 4 1,900 1 9,314 4 05 1 1 21,496 1 ,426 1 ,049 Male 4 53,351 2 4,480 2 36,358 9 4,148 2 2,303 1 2,924 1 86 - 6 1,694 7 17 5 41 Female 4 83,068 2 6,461 2 78,388 9 0,995 1 9,596 6 ,390 2 19 1 5 9,801 7 09 5 08 HOMA BAY 9 8,476 4 ,317 4 8,641 2 3,180 6 ,709 3 ,748 4 4 1 1 1,467 2 45 1 24 Male 4 7,031 2 ,083 2 1,942 1 1,355 3 ,261 2 ,347 1 8 - 5 ,835 1 23 6 7 Female 5 1,444 2 ,234 2 6,699 1 1,825 3 ,447 1 ,401 2 6 1 5 ,632 1 22 5 7 NDHIWA 1 76,801 9 ,523 1 04,345 2 8,581 5 ,374 2 ,133 5 3 - 2 6,499 1 95 9 8 Male 8 5,665 4 ,612 4 7,900 1 5,050 3 ,029 1 ,519 1 9 - 1 3,384 9 8 5 4 Female 9 1,131 4 ,909 5 6,444 1 3,530 2 ,345 6 14 3 4 - 1 3,114 9 7 4 4 RACHUONYO NORTH 1 50,440 8 ,540 8 2,001 3 1,222 7 ,207 3 ,062 6 2 - 1 7,940 2 59 1 47 Male 7 3,047 4 ,077 3 7,693 1 5,878 3 ,963 2 ,108 3 7 - 9 ,113 1 11 6 7 Female 7 7,390 4 ,463 4 4,307 1 5,342 3 ,244 9 54 2 5 - 8 ,827 1 48 8 0 RACHUONYO EAST 1 02,181 4 ,457 5 7,700 2 0,803 4 ,433 2 ,072 4 4 - 1 2,369 1 74 1 29 Male 4 9,324 2 ,218 2 6,733 1 0,161 2 ,347 1 ,390 2 6 - 6 ,271 1 01 7 7 Female 5 2,855 2 ,239 3 0,967 1 0,640 2 ,086 6 82 1 8 - 6 ,098 7 3 5 2 RACHUONYO SOUTH 1 10,893 6 ,609 5 7,805 2 4,186 5 ,810 3 ,076 4 9 - 1 3,126 1 46 8 6 Male 5 2,889 3 ,152 2 6,453 1 1,650 2 ,870 1 ,952 1 9 - 6 ,659 8 4 5 0 Female 5 8,004 3 ,457 3 1,352 1 2,536 2 ,940 1 ,124 3 0 - 6 ,467 6 2 3 6 RANGWE 9 5,975 6 ,680 5 3,169 1 7,023 3 ,947 1 ,688 4 3 - 1 3,083 1 50 1 92 Male 4 6,029 3 ,221 2 4,181 8 ,396 2 ,085 1 ,159 1 8 - 6 ,806 7 4 8 9 Female 4 9,944 3 ,458 2 8,987 8 ,627 1 ,862 5 29 2 5 - 6 ,277 7 6 1 03 SUBA NORTH 1 03,926 5 ,561 5 5,663 2 1,887 5 ,124 2 ,195 4 1 - 1 3,200 1 46 1 09 Male 5 1,090 2 ,632 2 5,684 1 1,697 2 ,793 1 ,502 1 7 - 6 ,627 7 5 6 3 Female 5 2,835 2 ,929 2 9,978 1 0,190 2 ,331 6 93 2 4 - 6 ,573 7 1 4 6 SUBA SOUTH 9 7,743 5 ,257 5 5,428 1 8,266 3 ,296 1 ,340 6 9 - 1 3,812 1 11 1 64 Male 4 8,276 2 ,485 2 5,772 9 ,961 1 ,955 9 47 3 2 - 6 ,999 5 1 7 4 Female 4 9,465 2 ,772 2 9,654 8 ,305 1 ,341 3 93 3 7 - 6 ,813 6 0 9 0 133

Page 147

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) MIGORI 8 91,943 5 8,435 4 97,955 1 62,968 3 4,705 1 7,285 5 07 2 1 17,649 1 ,384 1 ,053 Male 4 35,319 2 8,525 2 31,286 8 4,718 1 8,413 1 1,405 2 63 2 5 9,414 7 40 5 53 Female 4 56,604 2 9,909 2 66,658 7 8,248 1 6,291 5 ,880 2 43 - 5 8,231 6 44 5 00 AWENDO 9 9,605 6 ,043 5 4,696 1 9,660 4 ,385 2 ,145 3 8 - 1 2,391 1 52 9 5 Male 4 8,515 2 ,930 2 5,158 1 0,124 2 ,410 1 ,425 2 0 - 6 ,320 8 3 4 5 Female 5 1,088 3 ,112 2 9,537 9 ,536 1 ,975 7 20 1 8 - 6 ,071 6 9 5 0 KURIA EAST 6 8,210 4 ,716 4 1,028 1 0,658 1 ,896 9 51 4 4 1 8 ,744 8 0 9 2 Male 3 4,174 2 ,379 1 9,559 5 ,884 1 ,062 6 77 2 3 1 4 ,500 4 1 4 8 Female 3 4,033 2 ,337 2 1,468 4 ,773 8 34 2 74 2 1 - 4 ,243 3 9 4 4 KURIA WEST 1 56,851 1 2,391 8 7,708 2 7,834 5 ,646 2 ,698 1 79 - 2 0,019 2 41 1 35 Male 7 7,778 6 ,124 4 1,769 1 4,901 2 ,903 1 ,765 9 5 - 1 0,039 1 17 6 5 Female 7 9,070 6 ,267 4 5,938 1 2,933 2 ,743 9 33 8 3 - 9 ,979 1 24 7 0 NYATIKE 1 41,989 8 ,132 8 3,054 2 3,504 4 ,230 1 ,811 4 4 - 2 0,756 2 48 2 10 Male 6 8,816 3 ,908 3 7,907 1 2,566 2 ,385 1 ,314 2 5 - 1 0,464 1 37 1 10 Female 7 3,167 4 ,224 4 5,142 1 0,938 1 ,844 4 97 1 9 - 1 0,292 1 11 1 00 RONGO 1 04,064 6 ,777 5 3,132 2 2,074 5 ,606 3 ,523 5 4 - 1 2,559 2 17 1 22 Male 5 0,212 3 ,300 2 4,427 1 0,912 2 ,815 2 ,202 2 0 - 6 ,359 1 10 6 7 Female 5 3,851 3 ,477 2 8,704 1 1,162 2 ,791 1 ,321 3 4 - 6 ,200 1 07 5 5 SUNA EAST 1 02,060 5 ,415 5 5,779 2 0,405 4 ,994 2 ,456 3 8 - 1 2,711 1 33 1 29 Male 4 9,404 2 ,629 2 5,768 1 0,277 2 ,578 1 ,560 2 0 - 6 ,420 8 3 6 9 Female 5 2,653 2 ,786 3 0,011 1 0,127 2 ,416 8 96 1 8 - 6 ,289 5 0 6 0 SUNA WEST 1 00,908 7 ,199 5 3,845 1 8,882 4 ,134 2 ,117 5 6 1 1 4,407 1 53 1 14 Male 4 8,762 3 ,481 2 4,785 9 ,616 2 ,093 1 ,390 3 2 1 7 ,217 8 3 6 4 Female 5 2,145 3 ,718 2 9,059 9 ,266 2 ,041 7 27 2 4 - 7 ,190 7 0 5 0 URIRI 1 18,256 7 ,762 6 8,713 1 9,951 3 ,814 1 ,584 5 4 - 1 6,062 1 60 1 56 Male 5 7,658 3 ,774 3 1,913 1 0,438 2 ,167 1 ,072 2 8 - 8 ,095 8 6 8 5 Female 6 0,597 3 ,988 3 6,799 9 ,513 1 ,647 5 12 2 6 - 7 ,967 7 4 7 1

• - KISII 1 ,056,594 6 6,917 5 03,356 2 89,486 5 6,356 2 9,854 6 18 9 1 07,626 1 ,502 8 70 Male 5 14,242 3 2,984 2 40,848 1 37,417 2 8,022 1 8,840 3 07 4 5 4,543 8 37 4 40 Female 5 42,327 3 3,931 2 62,496 1 52,059 2 8,333 1 1,014 3 11 5 5 3,083 6 65 4 30 ETAGO 6 8,186 5 ,286 3 5,378 1 5,890 2 ,022 1 ,000 5 2 2 8 ,454 7 1 3 1 Male 3 3,403 2 ,588 1 6,736 7 ,951 1 ,115 6 98 2 4 1 4 ,237 3 4 1 9 Female 3 4,781 2 ,698 1 8,641 7 ,938 9 07 3 02 2 8 1 4 ,217 3 7 1 2 GUCHA 6 9,387 3 ,890 3 4,585 1 8,112 3 ,505 1 ,927 1 8 - 7 ,189 9 1 7 0 Male 3 3,352 1 ,886 1 6,415 8 ,383 1 ,687 1 ,222 1 2 - 3 ,666 4 5 3 6 Female 3 6,035 2 ,004 1 8,170 9 ,729 1 ,818 7 05 6 - 3 ,523 4 6 3 4 GUCHA SOUTH 6 8,510 5 ,121 3 4,469 1 6,118 3 ,333 1 ,541 4 3 - 7 ,709 8 9 8 7 Male 3 3,518 2 ,499 1 6,558 7 ,784 1 ,643 9 94 2 0 - 3 ,926 4 9 4 5 Female 3 4,989 2 ,621 1 7,910 8 ,333 1 ,690 5 47 2 3 - 3 ,783 4 0 4 2 134

Page 148

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) KENYENYA 1 09,605 7 ,599 5 2,756 3 0,630 4 ,304 2 ,229 1 27 - 1 1,744 1 25 9 1 Male 5 3,315 3 ,697 2 5,081 1 4,690 2 ,201 1 ,520 6 0 - 5 ,954 6 7 4 5 Female 5 6,289 3 ,902 2 7,674 1 5,940 2 ,103 7 09 6 7 - 5 ,790 5 8 4 6 KISII CENTRAL 1 41,052 7 ,110 5 8,386 4 3,930 1 2,024 7 ,109 4 0 - 1 2,159 2 23 7 1 Male 6 9,181 3 ,512 2 8,286 2 0,926 5 ,765 4 ,315 2 1 - 6 ,195 1 19 4 2 Female 7 1,869 3 ,598 3 0,099 2 3,004 6 ,258 2 ,794 1 9 - 5 ,964 1 04 2 9 KISII SOUTH 1 10,437 7 ,868 5 7,573 2 4,616 5 ,347 2 ,963 1 03 - 1 1,742 1 26 9 9 Male 5 3,984 3 ,892 2 7,842 1 1,910 2 ,503 1 ,736 5 7 - 5 ,920 7 6 4 8 Female 5 6,448 3 ,976 2 9,727 1 2,705 2 ,844 1 ,227 4 6 - 5 ,822 5 0 5 1 KITUTU CENTRAL 1 31,437 8 ,114 5 8,247 3 5,314 1 0,497 6 ,249 4 4 6 1 2,562 2 58 1 46 Male 6 4,408 4 ,090 2 8,327 1 6,768 4 ,875 3 ,687 2 3 2 6 ,409 1 52 7 5 Female 6 7,024 4 ,024 2 9,919 1 8,542 5 ,622 2 ,562 2 1 4 6 ,153 1 06 7 1 MARANI 8 8,583 5 ,223 4 7,942 2 2,193 3 ,160 1 ,271 2 1 - 8 ,623 8 1 6 9 Male 4 2,683 2 ,607 2 2,647 1 0,397 1 ,721 8 80 1 2 - 4 ,335 4 7 3 7 Female 4 5,899 2 ,616 2 5,294 1 1,796 1 ,439 3 91 9 - 4 ,288 3 4 3 2 MASABA SOUTH 1 04,534 5 ,876 4 6,658 3 4,295 5 ,027 2 ,273 6 8 - 1 0,114 1 41 8 2 Male 5 0,501 2 ,952 2 2,153 1 5,926 2 ,671 1 ,536 3 3 - 5 ,109 7 9 4 2 Female 5 4,030 2 ,924 2 4,503 1 8,368 2 ,356 7 37 3 5 - 5 ,005 6 2 4 0 NYAMACHE 1 08,990 7 ,284 5 0,075 3 2,762 4 ,525 2 ,136 7 9 1 1 1,803 2 45 8 0 Male 5 2,911 3 ,548 2 3,917 1 5,307 2 ,464 1 ,490 3 5 1 5 ,977 1 40 3 2 Female 5 6,078 3 ,736 2 6,158 1 7,454 2 ,061 6 46 4 4 - 5 ,826 1 05 4 8 SAMETA 5 5,873 3 ,546 2 7,287 1 5,626 2 ,612 1 ,156 2 3 - 5 ,527 5 2 4 4 Male 2 6,986 1 ,713 1 2,886 7 ,375 1 ,377 7 62 1 0 - 2 ,815 2 9 1 9 Female 2 8,885 1 ,832 1 4,401 8 ,250 1 ,235 3 94 1 3 - 2 ,712 2 3 2 5 NYAMIRA 5 01,830 2 4,420 2 37,025 1 51,352 2 7,139 1 2,775 3 17 1 4 7,286 8 92 6 23 Male 2 45,254 1 2,209 1 14,918 7 0,874 1 3,861 8 ,234 1 40 1 2 4,200 5 12 3 05 Female 2 56,564 1 2,209 1 22,103 8 0,475 1 3,277 4 ,541 1 77 - 2 3,084 3 80 3 18 BORABU 6 1,736 2 ,502 2 6,340 2 0,381 4 ,654 2 ,410 1 5 1 5 ,266 9 1 7 6 Male 3 1,315 1 ,312 1 3,160 1 0,081 2 ,387 1 ,526 5 1 2 ,746 5 4 4 3 Female 3 0,421 1 ,190 1 3,180 1 0,300 2 ,267 8 84 1 0 - 2 ,520 3 7 3 3 MANGA 7 7,226 4 ,749 3 4,421 2 4,150 4 ,456 1 ,874 5 8 - 7 ,252 1 46 1 20 Male 3 7,534 2 ,312 1 6,683 1 1,246 2 ,246 1 ,215 2 5 - 3 ,673 7 6 5 8 Female 3 9,690 2 ,437 1 7,737 1 2,904 2 ,210 6 59 3 3 - 3 ,578 7 0 6 2 MASABA NORTH 9 2,363 4 ,393 4 1,873 3 0,177 4 ,939 2 ,378 8 7 - 8 ,357 9 6 6 3 Male 4 4,538 2 ,154 2 0,166 1 3,885 2 ,483 1 ,538 3 6 - 4 ,195 4 7 3 4 Female 4 7,823 2 ,239 2 1,707 1 6,291 2 ,456 8 40 5 1 - 4 ,161 4 9 2 9 NYAMIRA NORTH 1 37,819 6 ,739 7 0,523 3 7,229 6 ,206 2 ,622 1 21 - 1 3,841 2 98 2 40 Male 6 7,363 3 ,382 3 4,216 1 7,262 3 ,276 1 ,746 5 5 - 7 ,133 1 83 1 10 Female 7 0,451 3 ,356 3 6,305 1 9,966 2 ,929 8 76 6 6 - 6 ,708 1 15 1 30 NYAMIRA SOUTH 1 32,686 6 ,037 6 3,868 3 9,415 6 ,884 3 ,491 3 6 - 1 2,570 2 61 1 24 Male 6 4,504 3 ,049 3 0,693 1 8,400 3 ,469 2 ,209 1 9 - 6 ,453 1 52 6 0 Female 6 8,179 2 ,987 3 3,174 2 1,014 3 ,415 1 ,282 1 7 - 6 ,117 1 09 6 4 135

Page 149

Table 2.5: Distribution of Population Age 3 Years and Above by Highest Level of Education Completed, Area of Residence, Sex, County and Sub-County Middle Level/ Technical and Adult Basic Madrasa/ County/ Sub-County Total* Pre-Primary Primary Secondary University None Don’t Know Not Stated Vocational Training Education Duksi (TVET) NAIROBI CITY 3 ,787,354 1 14,688 1 ,259,466 1 ,284,981 4 99,951 3 34,485 7 33 1 86 2 70,376 1 4,414 8 ,074 Male 1 ,884,245 5 6,537 5 97,904 6 55,589 2 39,380 1 86,181 3 32 9 7 1 35,944 7 ,865 4 ,416 Female 1 ,902,938 5 8,142 6 61,505 6 29,329 2 60,559 1 48,288 4 01 8 9 1 34,423 6 ,547 3 ,655 DAGORETTI 3 80,451 1 1,642 1 39,492 1 32,202 4 6,894 2 0,327 7 6 3 2 8,066 1 ,083 6 66 Male 1 90,921 5 ,739 6 6,946 6 8,689 2 2,838 1 1,565 3 8 3 1 4,074 6 56 3 73 Female 1 89,505 5 ,903 7 2,538 6 3,504 2 4,053 8 ,759 3 8 - 1 3,990 4 27 2 93 EMBAKASI 8 65,056 2 4,201 2 58,061 3 04,600 1 36,513 7 3,179 1 46 1 3 6 3,716 2 ,725 1 ,902 Male 4 31,278 1 1,971 1 20,523 1 54,993 6 6,416 4 2,615 7 3 1 0 3 2,073 1 ,528 1 ,076 Female 4 33,744 1 2,227 1 37,528 1 49,594 7 0,095 3 0,561 7 3 3 3 1,642 1 ,196 8 25 KAMUKUNJI 1 97,971 8 ,186 7 7,113 6 4,457 1 9,435 9 ,507 8 2 1 39 1 5,761 2 ,768 5 23 Male 1 03,126 4 ,060 3 8,119 3 5,646 9 ,789 5 ,861 3 5 7 1 7 ,870 1 ,368 3 07 Female 9 4,839 4 ,126 3 8,993 2 8,807 9 ,645 3 ,646 4 7 6 8 7 ,891 1 ,400 2 16 KASARANI 6 79,812 2 0,778 2 18,299 2 25,859 9 8,786 6 3,562 8 1 2 4 9,291 1 ,924 1 ,230 Male 3 29,885 1 0,138 1 01,600 1 09,873 4 5,051 3 6,493 3 7 - 2 4,886 1 ,121 6 86 Female 3 49,899 1 0,637 1 16,686 1 15,979 5 3,734 2 7,066 4 4 2 2 4,404 8 03 5 44 KIBRA 1 61,207 4 ,947 6 4,713 5 2,591 1 4,989 1 1,285 6 3 1 1 1,849 3 83 3 86 Male 8 1,878 2 ,448 3 1,514 2 8,276 7 ,337 5 ,917 2 2 1 5 ,939 2 14 2 10 Female 7 9,322 2 ,499 3 3,195 2 4,313 7 ,651 5 ,368 4 1 - 5 ,910 1 69 1 76 LANG’ATA 1 70,602 4 ,842 4 9,203 4 8,809 2 0,346 3 6,026 4 5 7 1 0,036 8 25 4 63 Male 8 3,232 2 ,484 2 3,359 2 4,704 8 ,875 1 8,084 2 3 2 5 ,079 4 12 2 10 Female 8 7,363 2 ,358 2 5,841 2 4,105 1 1,471 1 7,941 2 2 5 4 ,956 4 12 2 52 MAKADARA 1 69,335 3 ,983 5 2,670 6 4,391 2 5,588 1 1,363 3 0 3 1 0,619 3 67 3 21 Male 8 5,882 1 ,978 2 5,361 3 3,632 1 2,668 6 ,457 1 5 2 5 ,373 2 21 1 75 Female 8 3,446 2 ,005 2 7,305 3 0,758 1 2,918 4 ,906 1 5 1 5 ,246 1 46 1 46 MATHARE 1 74,560 6 ,038 7 8,155 5 8,891 1 3,715 3 ,493 1 7 1 1 3,152 6 26 4 72 Male 9 0,081 3 ,052 3 8,365 3 1,853 7 ,373 2 ,340 9 - 6 ,465 3 74 2 50 Female 8 4,467 2 ,985 3 9,785 2 7,032 6 ,342 1 ,153 8 1 6 ,687 2 52 2 22 NJIRU 5 49,682 1 7,047 1 95,084 1 96,238 6 9,797 2 6,721 5 7 1 4 2,470 1 ,393 8 74 Male 2 68,531 8 ,338 9 2,228 9 6,262 3 3,194 1 5,745 3 0 1 2 1,419 7 98 5 16 Female 2 81,127 8 ,708 1 02,850 9 9,963 3 6,603 1 0,976 2 7 - 2 1,048 5 95 3 57 STAREHE 1 67,374 4 ,961 5 0,141 5 5,722 2 2,461 2 2,068 7 9 1 0 1 0,067 1 ,305 5 60 Male 8 4,432 2 ,380 2 3,629 2 9,418 1 0,984 1 2,023 2 9 4 5 ,019 6 38 3 08 Female 8 2,934 2 ,580 2 6,511 2 6,301 1 1,477 1 0,042 5 0 6 5 ,048 6 67 2 52 WESTLANDS 2 71,304 8 ,063 7 6,535 8 1,221 3 1,427 5 6,954 5 7 6 1 5,349 1 ,015 6 77 Male 1 34,999 3 ,949 3 6,260 4 2,243 1 4,855 2 9,081 2 1 3 7 ,747 5 35 3 05 Female 1 36,292 4 ,114 4 0,273 3 8,973 1 6,570 2 7,870 3 6 3 7 ,601 4 80 3 72

• Intersex population is excluded from the table since it is too small to be distributed at sub-national level. 136

Page 150

Table 2.6a: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex and Special Age Groups Special Age Groups Total 3-5 4-5 6-13 14-17 18-22 23+ Not Stated KENYA Total 4 3,739,906 3 ,739,232 2 ,499,258 1 0,075,994 4 ,556,457 4 ,583,946 2 0,783,715 5 62 Male 2 1,574,077 1 ,881,994 1 ,263,032 5 ,068,287 2 ,324,558 2 ,233,145 1 0,065,800 2 93 Female 2 2,164,531 1 ,857,146 1 ,236,160 5 ,007,452 2 ,231,778 2 ,350,632 1 0,717,255 2 68 Intersex 1 ,298 9 2 6 6 2 55 1 21 1 69 6 60 1 At School/Learning Institution Total 1 7,780,277 2 ,123,269 1 ,800,642 8 ,944,922 3 ,900,439 2 ,010,130 8 01,517 - Male 9 ,040,318 1 ,050,475 8 98,744 4 ,478,155 1 ,969,640 1 ,091,296 4 50,752 - Female 8 ,739,524 1 ,072,746 9 01,857 4 ,466,560 1 ,930,702 9 18,789 3 50,727 - Intersex 4 35 4 8 4 1 2 07 9 7 4 5 3 8 - Left School/Learning Institution After Completion Total 1 1,568,544 1 0,080 8 ,292 5 0,618 1 00,215 1 ,312,189 1 0,095,442 - Male 5 ,910,664 5 ,021 4 ,183 2 4,910 4 6,591 5 75,326 5 ,258,816 - Female 5 ,657,565 5 ,059 4 ,109 2 5,704 5 3,621 7 36,814 4 ,836,367 - Intersex 3 15 - - 4 3 4 9 2 59 - Left School/Learning Institution Before Completion Total 6 ,854,538 3 ,502 2 ,806 2 9,609 1 32,646 7 39,059 5 ,949,722 - Male 3 ,172,382 1 ,750 1 ,402 1 6,060 6 4,870 3 06,334 2 ,783,368 - Female 3 ,681,910 1 ,752 1 ,404 1 3,549 6 7,772 4 32,689 3 ,166,148 - Intersex 2 46 - - - 4 3 6 2 06 - Never Been to School/Learning Institution Total 7 ,120,542 1 ,570,861 6 71,146 1 ,004,427 3 99,731 4 86,534 3 ,658,989 - Male 3 ,223,856 8 08,502 3 50,251 5 25,288 2 30,370 2 41,317 1 ,418,379 - Female 3 ,896,417 7 62,316 3 20,871 4 79,099 1 69,345 2 45,183 2 ,240,474 - Intersex 2 69 4 3 2 4 4 0 1 6 3 4 1 36 - Don’t Know Total 4 06,887 3 0,988 1 5,991 4 4,871 2 2,659 3 5,104 2 73,265 - Male 2 22,301 1 5,975 8 ,256 2 3,097 1 2,717 1 8,410 1 52,102 - Female 1 84,558 1 5,012 7 ,734 2 1,771 9 ,941 1 6,690 1 21,144 - Intersex 2 8 1 1 3 1 4 1 9 - Not Stated Total 9 ,118 5 32 3 81 1 ,547 7 67 9 30 4 ,780 5 62 Male 4 ,556 2 71 1 96 7 77 3 70 4 62 2 ,383 2 93 Female 4 ,557 2 61 1 85 7 69 3 97 4 67 2 ,395 2 68 Intersex 5 - - 1 - 1 2 1 137

Page 151

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female MOMBASA 1 ,100,173 5 52,476 5 47,681 3 78,423 1 89,490 1 88,930 4 57,603 2 43,173 2 14,424 1 53,982 7 4,382 7 9,596 1 01,097 4 0,253 6 0,843 8 ,817 5 ,043 3 ,772 2 51 1 35 1 16 3-5 8 4,323 4 2,434 4 1,889 5 7,828 2 8,547 2 9,281 4 67 2 46 2 21 1 31 6 7 6 4 2 5,241 1 3,231 1 2,010 6 44 3 35 3 09 1 2 8 4 4-5 5 5,708 2 7,813 2 7,895 4 6,528 2 2,965 2 3,563 3 74 1 97 1 77 1 07 5 2 5 5 8 ,421 4 ,456 3 ,965 2 69 1 38 1 31 9 5 4 6-13 1 94,684 9 6,354 9 8,328 1 86,170 9 2,111 9 4,057 1 ,924 9 50 9 74 7 90 3 75 4 15 5 ,190 2 ,620 2 ,570 5 79 2 85 2 94 3 1 1 3 1 8 14-17 7 7,650 3 7,269 4 0,381 6 8,494 3 3,719 3 4,775 4 ,146 1 ,588 2 ,558 2 ,793 1 ,028 1 ,765 1 ,931 8 11 1 ,120 2 75 1 19 1 56 1 1 4 7 18-22 1 19,644 5 3,843 6 5,798 4 0,268 2 0,912 1 9,356 5 5,303 2 3,725 3 1,578 1 8,868 7 ,268 1 1,598 4 ,557 1 ,660 2 ,897 6 29 2 69 3 59 1 9 9 1 0 23+ 6 23,848 3 22,563 3 01,274 2 5,663 1 4,201 1 1,461 3 95,763 2 16,664 1 79,093 1 31,400 6 5,644 6 5,754 6 4,178 2 1,931 4 2,246 6 ,690 4 ,035 2 ,654 1 54 8 8 6 6 Not Stated 2 4 1 3 1 1 - - - - - - - - - - - - - - - 2 4 1 3 1 1 KWALE 7 83,189 3 82,538 4 00,636 3 34,612 1 71,696 1 62,911 1 52,178 8 3,012 6 9,162 9 8,811 4 9,352 4 9,457 1 92,001 7 5,281 1 16,716 5 ,418 3 ,108 2 ,310 1 69 8 9 8 0 3-5 8 3,068 4 1,933 4 1,134 3 8,902 1 9,159 1 9,743 1 39 6 5 7 4 6 0 3 5 2 5 4 3,471 2 2,426 2 1,044 4 81 2 40 2 41 1 5 8 7 4-5 5 6,504 2 8,730 2 7,774 3 4,535 1 7,139 1 7,396 1 10 5 3 5 7 4 8 2 4 2 4 2 1,540 1 1,379 1 0,161 2 61 1 28 1 33 1 0 7 3 6-13 2 04,259 1 03,008 1 01,246 1 85,190 9 3,232 9 1,955 7 70 3 85 3 84 1 ,043 5 52 4 91 1 6,615 8 ,499 8 ,115 6 11 3 22 2 89 3 0 1 8 1 2 14-17 8 3,492 4 2,684 4 0,808 7 0,746 3 6,454 3 4,292 2 ,198 9 00 1 ,298 4 ,373 2 ,158 2 ,215 5 ,908 3 ,031 2 ,877 2 51 1 31 1 20 1 6 1 0 6 18-22 8 0,175 3 8,332 4 1,841 3 1,324 1 8,083 1 3,240 2 2,674 9 ,590 1 3,083 1 6,532 6 ,837 9 ,695 9 ,181 3 ,601 5 ,580 4 49 2 15 2 34 1 5 6 9 23+ 3 32,185 1 56,576 1 75,602 8 ,450 4 ,768 3 ,681 1 26,397 7 2,072 5 4,323 7 6,803 3 9,770 3 7,031 1 16,826 3 7,724 7 9,100 3 ,626 2 ,200 1 ,426 8 3 4 2 4 1 Not Stated 1 0 5 5 - - - - - - - - - - - - - - - 1 0 5 5 138

Page 152

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female KILIFI 1 ,323,664 6 36,891 6 86,754 6 05,776 3 08,926 2 96,841 2 82,538 1 54,263 1 28,273 1 75,199 8 6,075 8 9,122 2 50,280 8 2,303 1 67,972 9 ,634 5 ,214 4 ,420 2 37 1 10 1 26 3-5 1 26,430 6 3,506 6 2,923 7 4,467 3 6,629 3 7,837 2 68 1 38 1 30 1 07 4 7 6 0 5 0,798 2 6,291 2 4,507 7 78 3 93 3 85 1 2 8 4 4-5 8 5,491 4 3,101 4 2,389 6 2,064 3 0,760 3 1,303 2 08 1 08 1 00 8 9 3 8 5 1 2 2,668 1 1,964 1 0,704 4 52 2 25 2 27 1 0 6 4 6-13 3 28,848 1 64,769 1 64,072 3 11,570 1 55,860 1 55,705 1 ,385 6 62 7 23 9 88 5 16 4 72 1 3,828 7 ,198 6 ,628 1 ,035 5 11 5 24 4 2 2 2 2 0 14-17 1 44,986 7 3,000 7 1,983 1 33,019 6 7,451 6 5,565 3 ,092 1 ,274 1 ,818 4 ,451 2 ,020 2 ,431 3 ,980 2 ,038 1 ,942 4 21 2 05 2 16 2 3 1 2 1 1 18-22 1 46,905 7 1,639 7 5,263 6 8,786 3 8,854 2 9,932 4 2,363 1 8,199 2 4,164 2 7,066 1 1,097 1 5,967 7 ,844 3 ,104 4 ,739 8 26 3 75 4 51 2 0 1 0 1 0 23+ 5 76,479 2 63,973 3 12,502 1 7,934 1 0,132 7 ,802 2 35,430 1 33,990 1 01,438 1 42,587 7 2,395 7 0,192 1 73,830 4 3,672 1 30,156 6 ,574 3 ,730 2 ,844 1 24 5 4 7 0 Not Stated 1 6 4 1 1 - - - - - - - - - - - - - - - 1 6 4 1 1 TANA RIVER 2 84,605 1 42,087 1 42,516 9 5,997 5 0,470 4 5,527 3 2,815 1 9,351 1 3,464 2 9,062 1 4,502 1 4,560 1 25,160 5 6,872 6 8,287 1 ,445 8 35 6 09 1 26 5 7 6 9 3-5 3 4,347 1 7,515 1 6,832 1 1,814 6 ,021 5 ,793 4 1 2 5 1 6 2 5 1 1 1 4 2 2,334 1 1,380 1 0,954 1 22 7 1 5 1 1 1 7 4 4-5 2 3,116 1 1,854 1 1,262 1 0,170 5 ,240 4 ,930 3 6 2 2 1 4 1 7 9 8 1 2,816 6 ,535 6 ,281 6 9 4 2 2 7 8 6 2 6-13 8 0,023 4 0,694 3 9,329 5 4,228 2 7,623 2 6,605 2 78 1 52 1 26 4 44 2 76 1 68 2 4,849 1 2,536 1 2,313 1 97 9 5 1 02 2 7 1 2 1 5 14-17 2 9,071 1 4,979 1 4,091 1 8,570 9 ,666 8 ,904 7 65 3 34 4 31 1 ,472 6 93 7 79 8 ,169 4 ,236 3 ,933 8 2 4 5 3 6 1 3 5 8 18-22 2 8,997 1 3,928 1 5,069 7 ,693 4 ,697 2 ,996 6 ,170 2 ,853 3 ,317 5 ,205 2 ,200 3 ,005 9 ,798 4 ,106 5 ,692 1 19 6 9 5 0 1 2 3 9 23+ 1 12,161 5 4,966 5 7,194 3 ,692 2 ,463 1 ,229 2 5,561 1 5,987 9 ,574 2 1,916 1 1,322 1 0,594 6 0,010 2 4,614 3 5,395 9 25 5 55 3 70 5 7 2 5 3 2 Not Stated 6 5 1 - - - - - - - - - - - - - - - 6 5 1 139

Page 153

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female LAMU 1 30,991 6 9,111 6 1,877 5 0,249 2 5,969 2 4,278 3 0,833 1 8,933 1 1,899 2 2,762 1 1,830 1 0,932 2 6,325 1 1,888 1 4,437 7 86 4 72 3 14 3 6 1 9 1 7 3-5 1 1,661 6 ,019 5 ,642 5 ,929 2 ,963 2 ,966 2 7 1 6 1 1 4 0 1 5 2 5 5 ,631 3 ,013 2 ,618 3 3 1 2 2 1 1 - 1 4-5 7 ,836 4 ,058 3 ,778 5 ,212 2 ,618 2 ,594 2 2 1 2 1 0 3 0 1 2 1 8 2 ,556 1 ,409 1 ,147 1 5 7 8 1 - 1 6-13 2 9,588 1 4,994 1 4,592 2 7,023 1 3,635 1 3,386 1 23 7 1 5 2 3 17 1 78 1 39 2 ,095 1 ,097 9 98 2 8 1 3 1 5 2 - 2 14-17 1 2,714 6 ,600 6 ,114 1 0,904 5 ,682 5 ,222 3 60 1 45 2 15 7 37 3 68 3 69 6 92 3 97 2 95 1 9 8 1 1 2 - 2 18-22 1 3,403 7 ,005 6 ,398 4 ,823 2 ,767 2 ,056 4 ,438 2 ,298 2 ,140 2 ,909 1 ,327 1 ,582 1 ,181 5 85 5 96 4 7 2 6 2 1 5 2 3 23+ 6 3,621 3 4,490 2 9,130 1 ,570 9 22 6 48 2 5,885 1 6,403 9 ,481 1 8,759 9 ,942 8 ,817 1 6,726 6 ,796 9 ,930 6 59 4 13 2 46 2 2 1 4 8 Not Stated 4 3 1 - - - - - - - - - - - - - - - 4 3 1 TAITA/TAVETA 3 12,593 1 58,230 1 54,357 1 16,381 5 9,272 5 7,108 1 18,731 6 3,137 5 5,594 4 7,998 2 3,804 2 4,190 2 8,128 1 1,239 1 6,888 1 ,286 7 44 5 42 6 9 3 4 3 5 3-5 2 2,877 1 1,568 1 1,309 1 5,157 7 ,575 7 ,582 7 8 3 4 4 4 2 5 1 5 1 0 7 ,542 3 ,900 3 ,642 6 9 4 0 2 9 6 4 2 4-5 1 5,103 7 ,640 7 ,463 1 2,890 6 ,465 6 ,425 6 9 3 1 3 8 2 0 1 2 8 2 ,089 1 ,110 9 79 3 0 1 9 1 1 5 3 2 6-13 6 1,802 3 1,032 3 0,769 6 0,281 3 0,234 3 0,046 3 33 1 66 1 67 1 72 8 5 8 7 9 53 5 16 4 37 5 0 2 9 2 1 1 3 2 1 1 14-17 2 9,651 1 5,194 1 4,457 2 6,706 1 3,633 1 3,073 1 ,660 8 55 8 05 8 61 4 66 3 95 3 83 2 19 1 64 3 8 1 9 1 9 3 2 1 18-22 3 0,070 1 5,371 1 4,699 1 0,688 5 ,847 4 ,841 1 4,432 7 ,147 7 ,285 4 ,121 1 ,969 2 ,152 7 20 3 47 3 73 1 01 5 7 4 4 8 4 4 23+ 1 68,190 8 5,063 8 3,122 3 ,549 1 ,983 1 ,566 1 02,228 5 4,935 4 7,293 4 2,819 2 1,269 2 1,546 1 8,530 6 ,257 1 2,272 1 ,028 5 99 4 29 3 6 2 0 1 6 Not Stated 3 2 1 - - - - - - - - - - - - - - - 3 2 1 140

Page 154

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female GARISSA 7 78,006 4 25,411 3 52,563 1 32,990 7 7,489 5 5,497 2 3,144 1 5,400 7 ,744 9 ,508 5 ,309 4 ,198 5 84,730 3 11,556 2 73,149 2 7,479 1 5,564 1 1,913 1 55 9 3 6 2 3-5 8 0,977 4 1,983 3 8,991 1 0,731 5 ,554 5 ,177 1 60 9 2 6 8 1 50 7 9 7 1 6 7,222 3 4,758 3 2,461 2 ,703 1 ,495 1 ,208 1 1 5 6 4-5 5 6,033 2 9,206 2 6,825 8 ,639 4 ,469 4 ,170 1 20 6 9 5 1 1 09 6 0 4 9 4 5,361 2 3,615 2 1,744 1 ,795 9 88 8 07 9 5 4 6-13 2 18,905 1 19,628 9 9,273 6 1,186 3 3,516 2 7,669 1 ,030 5 73 4 57 9 34 5 32 4 02 1 49,100 8 1,178 6 7,919 6 ,624 3 ,811 2 ,813 3 1 1 8 1 3 14-17 1 01,460 6 1,885 3 9,572 2 9,875 1 8,344 1 1,531 1 ,110 6 24 4 86 8 36 4 28 4 08 6 5,992 4 0,165 2 5,824 3 ,633 2 ,314 1 ,319 1 4 1 0 4 18-22 1 01,279 5 6,300 4 4,970 1 8,542 1 1,611 6 ,930 4 ,434 2 ,410 2 ,024 1 ,959 8 94 1 ,064 7 2,469 3 9,182 3 3,281 3 ,850 2 ,185 1 ,664 2 5 1 8 7 23+ 2 75,381 1 45,611 1 29,757 1 2,656 8 ,464 4 ,190 1 6,410 1 1,701 4 ,709 5 ,629 3 ,376 2 ,253 2 29,947 1 16,273 1 13,664 1 0,669 5 ,759 4 ,909 7 0 3 8 3 2 Not Stated 4 4 - - - - - - - - - - - - - - - - 4 4 - WAJIR 7 11,571 3 79,557 3 31,969 1 32,611 7 5,637 5 6,970 1 3,792 9 ,423 4 ,369 5 ,489 3 ,224 2 ,265 5 49,406 2 85,684 2 63,682 1 0,209 5 ,548 4 ,660 6 4 4 1 2 3 3-5 8 3,900 4 2,178 4 1,720 1 1,034 5 ,725 5 ,309 1 53 8 0 7 3 1 12 5 9 5 3 7 1,632 3 5,844 3 5,786 9 67 4 68 4 99 2 2 - 4-5 5 9,294 2 9,854 2 9,438 9 ,134 4 ,760 4 ,374 1 24 6 4 6 0 8 4 4 2 4 2 4 9,241 2 4,641 2 4,598 7 10 3 46 3 64 1 1 - 6-13 2 19,824 1 16,445 1 03,368 6 9,953 3 7,752 3 2,200 1 ,029 5 20 5 09 5 86 3 04 2 82 1 45,401 7 6,389 6 9,002 2 ,838 1 ,469 1 ,369 1 7 1 1 6 14-17 9 1,364 5 3,607 3 7,751 2 8,803 1 7,251 1 1,550 8 47 4 92 3 55 5 71 2 87 2 84 5 9,796 3 4,747 2 5,045 1 ,337 8 21 5 16 1 0 9 1 18-22 7 7,553 4 1,097 3 6,449 1 4,256 9 ,020 5 ,236 2 ,677 1 ,565 1 ,112 1 ,127 5 66 5 61 5 8,107 2 9,167 2 8,933 1 ,374 7 70 6 04 1 2 9 3 23+ 2 38,930 1 26,230 1 12,681 8 ,565 5 ,889 2 ,675 9 ,086 6 ,766 2 ,320 3 ,093 2 ,008 1 ,085 2 14,470 1 09,537 1 04,916 3 ,693 2 ,020 1 ,672 2 3 1 0 1 3 Not Stated - - - - - - - - - - - - - - - - - - - - - 141

Page 155

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female MANDERA 7 75,085 3 91,182 3 83,873 1 68,647 9 0,664 7 7,980 2 1,483 1 4,204 7 ,279 7 ,222 4 ,118 3 ,104 5 55,819 2 71,252 2 84,543 2 1,776 1 0,871 1 0,902 1 38 7 3 6 5 3-5 1 03,560 4 8,234 5 5,322 1 6,406 7 ,614 8 ,792 3 24 1 51 1 73 1 23 5 9 6 4 8 4,254 3 9,289 4 4,961 2 ,432 1 ,113 1 ,319 2 1 8 1 3 4-5 7 2,763 3 4,127 3 8,633 1 3,380 6 ,256 7 ,124 2 54 1 23 1 31 9 6 4 7 4 9 5 7,318 2 6,913 3 0,402 1 ,698 7 83 9 15 1 7 5 1 2 6-13 2 55,983 1 26,744 1 29,229 8 9,566 4 5,240 4 4,325 1 ,808 8 99 9 09 8 31 4 50 3 81 1 57,412 7 7,110 8 0,294 6 ,328 3 ,022 3 ,305 3 8 2 3 1 5 14-17 9 9,428 5 5,172 4 4,250 3 4,747 2 0,177 1 4,568 1 ,648 8 96 7 52 8 42 4 14 4 28 5 9,420 3 2,212 2 7,204 2 ,759 1 ,467 1 ,292 1 2 6 6 18-22 8 7,317 4 4,273 4 3,041 1 7,998 1 1,132 6 ,866 4 ,710 2 ,632 2 ,078 1 ,656 7 85 8 71 6 0,074 2 8,261 3 1,811 2 ,864 1 ,455 1 ,408 1 5 8 7 23+ 2 28,796 1 16,758 1 12,031 9 ,930 6 ,501 3 ,429 1 2,993 9 ,626 3 ,367 3 ,770 2 ,410 1 ,360 1 94,659 9 4,380 1 00,273 7 ,393 3 ,814 3 ,578 5 1 2 7 2 4 Not Stated 1 1 - - - - - - - - - - - - - - - - 1 1 - MARSABIT 4 09,629 2 15,220 1 94,392 1 08,132 5 5,636 5 2,492 2 5,727 1 6,016 9 ,711 1 2,494 7 ,160 5 ,334 2 59,725 1 34,525 1 25,190 3 ,335 1 ,773 1 ,559 2 16 1 10 1 06 3-5 4 7,147 2 4,076 2 3,071 1 3,340 6 ,614 6 ,726 5 0 2 9 2 1 2 8 1 3 1 5 3 3,271 1 7,187 1 6,084 4 14 2 12 2 02 4 4 2 1 2 3 4-5 3 1,913 1 6,347 1 5,566 1 1,329 5 ,621 5 ,708 4 0 2 3 1 7 2 2 9 1 3 2 0,225 1 0,535 9 ,690 2 72 1 45 1 27 2 5 1 4 1 1 6-13 1 17,427 6 0,668 5 6,756 5 8,402 2 8,964 2 9,436 5 02 2 70 2 32 4 68 2 67 2 01 5 7,081 3 0,676 2 6,405 8 87 4 38 4 48 8 7 5 3 3 4 14-17 5 0,119 2 8,221 2 1,895 2 2,120 1 1,441 1 0,677 1 ,034 4 95 5 39 1 ,235 6 75 5 60 2 5,308 1 5,369 9 ,938 4 11 2 35 1 76 1 1 6 5 18-22 4 5,923 2 4,558 2 1,365 9 ,638 5 ,549 4 ,089 5 ,118 2 ,614 2 ,504 2 ,824 1 ,404 1 ,420 2 7,968 1 4,792 1 3,176 3 70 1 98 1 72 5 1 4 23+ 1 49,008 7 7,694 7 1,303 4 ,632 3 ,068 1 ,564 1 9,023 1 2,608 6 ,415 7 ,939 4 ,801 3 ,138 1 16,097 5 6,501 5 9,587 1 ,253 6 90 5 61 6 4 2 6 3 8 Not Stated 5 3 2 - - - - - - - - - - - - - - - 5 3 2 142

Page 156

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female ISIOLO 2 45,462 1 28,141 1 17,317 7 9,881 4 0,960 3 8,920 3 4,817 1 9,823 1 4,994 1 4,485 7 ,599 6 ,886 1 14,759 5 8,852 5 5,904 1 ,483 8 86 5 97 3 7 2 1 1 6 3-5 2 6,916 1 3,591 1 3,324 1 1,432 5 ,684 5 ,747 6 0 3 1 2 9 2 7 1 8 9 1 5,267 7 ,780 7 ,487 1 29 7 8 5 1 1 - 1 4-5 1 8,136 9 ,169 8 ,967 9 ,431 4 ,733 4 ,698 4 7 2 6 2 1 1 8 1 3 5 8 ,560 4 ,348 4 ,212 7 9 4 9 3 0 1 - 1 6-13 6 4,168 3 3,286 3 0,882 4 2,037 2 1,140 2 0,897 3 94 2 13 1 81 3 23 1 94 1 29 2 1,157 1 1,588 9 ,569 2 52 1 48 1 04 5 3 2 14-17 2 8,178 1 5,456 1 2,722 1 6,382 8 ,285 8 ,097 9 94 4 76 5 18 9 41 5 09 4 32 9 ,721 6 ,096 3 ,625 1 36 8 8 4 8 4 2 2 18-22 2 6,215 1 3,443 1 2,771 6 ,886 3 ,876 3 ,010 5 ,914 2 ,777 3 ,137 2 ,669 1 ,234 1 ,435 1 0,562 5 ,462 5 ,099 1 77 9 1 8 6 7 3 4 23+ 9 9,984 5 2,364 4 7,618 3 ,144 1 ,975 1 ,169 2 7,455 1 6,326 1 1,129 1 0,525 5 ,644 4 ,881 5 8,052 2 7,926 3 0,124 7 89 4 81 3 08 1 9 1 2 7 Not Stated 1 1 - - - - - - - - - - - - - - - - 1 1 - MERU 1 ,436,400 7 11,224 7 25,139 5 54,475 2 77,202 2 77,259 3 60,142 1 79,720 1 80,414 3 01,441 1 53,600 1 47,834 2 05,961 9 2,010 1 13,943 1 3,999 8 ,488 5 ,511 3 82 2 04 1 78 3-5 1 04,960 5 3,027 5 1,932 6 6,626 3 3,178 3 3,447 2 56 1 21 1 35 1 75 9 6 7 9 3 7,242 1 9,287 1 7,955 6 42 3 35 3 07 1 9 1 0 9 4-5 6 9,120 3 5,083 3 4,036 5 7,207 2 8,717 2 8,489 2 04 9 5 1 09 1 41 7 6 6 5 1 1,270 6 ,041 5 ,229 2 83 1 46 1 37 1 5 8 7 6-13 2 96,132 1 48,388 1 47,739 2 84,172 1 41,598 1 42,570 1 ,505 7 15 7 90 1 ,960 1 ,245 7 15 7 ,734 4 ,411 3 ,322 6 96 3 81 3 15 6 5 3 8 2 7 14-17 1 42,337 7 0,967 7 1,365 1 23,781 6 0,377 6 3,399 3 ,334 1 ,633 1 ,701 9 ,858 5 ,635 4 ,223 4 ,772 2 ,963 1 ,809 5 67 3 49 2 18 2 5 1 0 1 5 18-22 1 41,400 6 9,256 7 2,141 5 9,058 3 0,414 2 8,642 3 6,462 1 6,068 2 0,394 3 6,085 1 7,327 1 8,758 8 ,631 4 ,735 3 ,895 1 ,130 6 90 4 40 3 4 2 2 1 2 23+ 7 51,547 3 69,574 3 81,950 2 0,838 1 1,635 9 ,201 3 18,585 1 61,183 1 57,394 2 53,363 1 29,297 1 24,059 1 47,582 6 0,614 8 6,962 1 0,964 6 ,733 4 ,231 2 15 1 12 1 03 Not Stated 2 4 1 2 1 2 - - - - - - - - - - - - - - - 2 4 1 2 1 2 143

Page 157

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female THARAKA-NITHI 3 67,574 1 80,692 1 86,875 1 44,933 7 3,509 7 1,422 9 6,834 4 8,177 4 8,655 8 2,897 4 0,913 4 1,983 3 9,296 1 6,089 2 3,205 3 ,543 1 ,966 1 ,577 7 1 3 8 3 3 3-5 2 4,943 1 2,480 1 2,461 1 5,071 7 ,473 7 ,598 5 9 2 4 3 5 3 1 8 2 3 9 ,607 4 ,893 4 ,712 1 74 8 1 9 3 1 1 - 4-5 1 6,552 8 ,341 8 ,209 1 3,603 6 ,788 6 ,815 5 1 2 1 3 0 2 7 8 1 9 2 ,786 1 ,478 1 ,306 8 5 4 6 3 9 - - - 6-13 7 3,030 3 6,670 3 6,359 7 0,881 3 5,532 3 5,348 2 54 1 35 1 19 3 76 2 23 1 53 1 ,280 6 50 6 30 2 36 1 28 1 08 3 2 1 14-17 3 6,993 1 8,649 1 8,344 3 4,297 1 7,193 1 7,104 5 90 2 82 3 08 1 ,332 7 34 5 98 6 25 3 68 2 57 1 44 7 0 7 4 5 2 3 18-22 3 4,412 1 7,098 1 7,312 1 8,520 9 ,858 8 ,661 8 ,173 3 ,607 4 ,565 6 ,654 3 ,071 3 ,583 8 71 4 61 4 10 1 91 1 01 9 0 3 - 3 23+ 1 98,189 9 5,792 1 02,395 6 ,164 3 ,453 2 ,711 8 7,758 4 4,129 4 3,628 7 4,504 3 6,877 3 7,626 2 6,913 9 ,717 1 7,196 2 ,798 1 ,586 1 ,212 5 2 3 0 2 2 Not Stated 7 3 4 - - - - - - - - - - - - - - - 7 3 4 EMBU 5 68,228 2 83,024 2 85,182 2 05,389 1 04,132 1 01,251 1 80,500 9 0,744 8 9,746 1 31,329 6 7,774 6 3,552 4 8,555 1 8,822 2 9,730 2 ,404 1 ,530 8 74 5 1 2 2 2 9 3-5 3 6,582 1 8,614 1 7,965 2 1,733 1 0,887 1 0,844 6 7 3 5 3 2 3 3 1 8 1 5 1 4,636 7 ,614 7 ,021 1 10 6 0 5 0 3 - 3 4-5 2 4,007 1 2,234 1 1,770 1 9,578 9 ,867 9 ,709 5 8 3 0 2 8 2 7 1 5 1 2 4 ,305 2 ,301 2 ,003 3 9 2 1 1 8 - - - 6-13 1 03,233 5 1,912 5 1,319 1 01,318 5 0,873 5 0,443 3 99 2 12 1 87 3 45 2 01 1 44 1 ,108 5 95 5 13 5 6 2 8 2 8 7 3 4 14-17 5 3,984 2 7,508 2 6,474 5 0,032 2 5,195 2 4,835 1 ,249 6 52 5 97 2 ,230 1 ,362 8 68 4 29 2 69 1 60 4 1 2 9 1 2 3 1 2 18-22 5 4,941 2 8,017 2 6,922 2 4,674 1 2,943 1 1,731 1 8,079 8 ,500 9 ,577 1 1,278 6 ,014 5 ,264 7 40 4 44 2 96 1 68 1 15 5 3 2 1 1 23+ 3 19,483 1 56,971 1 62,499 7 ,632 4 ,234 3 ,398 1 60,706 8 1,345 7 9,353 1 17,443 6 0,179 5 7,261 3 1,642 9 ,900 2 1,740 2 ,029 1 ,298 7 31 3 1 1 5 1 6 Not Stated 5 2 3 - - - - - - - - - - - - - - - 5 2 3 144

Page 158

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female KITUI 1 ,056,907 5 08,247 5 48,634 4 90,726 2 50,178 2 40,536 2 65,238 1 27,266 1 37,968 1 52,030 7 2,606 7 9,419 1 36,969 5 1,705 8 5,259 1 1,795 6 ,431 5 ,364 1 49 6 1 8 8 3-5 8 0,637 4 0,714 3 9,922 4 7,418 2 3,303 2 4,114 1 80 8 6 9 4 6 1 2 9 3 2 3 2,273 1 6,940 1 5,333 6 95 3 50 3 45 1 0 6 4 4-5 5 4,356 2 7,510 2 6,845 4 0,956 2 0,301 2 0,654 1 50 7 0 8 0 4 7 2 1 2 6 1 2,839 6 ,940 5 ,899 3 56 1 73 1 83 8 5 3 6-13 2 54,799 1 28,781 1 26,014 2 45,871 1 24,078 1 21,789 9 92 5 00 4 92 6 74 3 64 3 10 6 ,036 3 ,212 2 ,824 1 ,198 6 14 5 84 2 8 1 3 1 5 14-17 1 35,286 6 8,808 6 6,475 1 25,619 6 3,629 6 1,987 3 ,644 1 ,733 1 ,911 3 ,200 1 ,838 1 ,362 2 ,155 1 ,230 9 25 6 54 3 76 2 78 1 4 2 1 2 18-22 1 06,632 5 4,044 5 2,585 5 6,435 3 0,877 2 5,556 3 2,627 1 4,580 1 8,046 1 3,968 6 ,603 7 ,365 2 ,720 1 ,453 1 ,267 8 74 5 26 3 48 8 5 3 23+ 4 79,543 2 15,896 2 63,632 1 5,383 8 ,291 7 ,090 2 27,795 1 10,367 1 17,425 1 34,127 6 3,772 7 0,350 9 3,785 2 8,870 6 4,910 8 ,374 4 ,565 3 ,809 7 9 3 1 4 8 Not Stated 1 0 4 6 - - - - - - - - - - - - - - - 1 0 4 6 MACHAKOS 1 ,327,172 6 61,982 6 65,162 5 05,677 2 58,981 2 46,686 5 19,446 2 62,961 2 56,474 2 03,283 9 9,048 1 04,232 8 6,929 3 4,692 5 2,234 1 1,638 6 ,197 5 ,440 1 99 1 03 9 6 3-5 8 9,121 4 5,338 4 3,780 5 8,851 2 9,577 2 9,271 3 90 2 12 1 78 7 2 4 3 2 9 2 9,168 1 5,181 1 3,987 6 29 3 21 3 08 1 1 4 7 4-5 5 9,168 3 0,405 2 8,761 4 9,846 2 5,375 2 4,469 3 20 1 84 1 36 5 2 3 1 2 1 8 ,700 4 ,701 3 ,999 2 41 1 10 1 31 9 4 5 6-13 2 53,996 1 28,253 1 25,739 2 48,440 1 25,371 1 23,065 1 ,876 9 21 9 55 4 73 2 62 2 11 2 ,564 1 ,380 1 ,184 6 17 3 05 3 12 2 6 1 4 1 2 14-17 1 26,553 6 4,554 6 1,997 1 17,981 5 9,925 5 8,054 4 ,105 2 ,034 2 ,071 3 ,130 1 ,831 1 ,299 1 ,014 5 94 4 20 3 10 1 66 1 44 1 3 4 9 18-22 1 29,059 6 5,432 6 3,624 5 7,808 3 1,455 2 6,352 5 2,139 2 4,356 2 7,782 1 6,899 8 ,370 8 ,528 1 ,514 8 79 6 35 6 83 3 66 3 17 1 6 6 1 0 23+ 7 28,430 3 58,398 3 70,016 2 2,597 1 2,653 9 ,944 4 60,936 2 35,438 2 25,488 1 82,709 8 8,542 9 4,165 5 2,669 1 6,658 3 6,008 9 ,399 5 ,039 4 ,359 1 20 6 8 5 2 Not Stated 1 3 7 6 - - - - - - - - - - - - - - - 1 3 7 6 145

Page 159

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female MAKUENI 9 21,168 4 53,946 4 67,204 3 95,627 2 02,949 1 92,669 2 76,206 1 35,938 1 40,265 1 65,325 8 1,353 8 3,969 7 1,509 2 6,987 4 4,519 1 2,357 6 ,657 5 ,700 1 44 6 2 8 2 3-5 6 1,348 3 1,323 3 0,024 3 7,651 1 8,822 1 8,828 1 46 6 7 7 9 3 5 1 9 1 6 2 3,030 1 2,150 1 0,880 4 82 2 63 2 19 4 2 2 4-5 4 1,508 2 1,178 2 0,329 3 3,279 1 6,728 1 6,550 1 32 6 1 7 1 2 6 1 2 1 4 7 ,823 4 ,238 3 ,585 2 44 1 37 1 07 4 2 2 6-13 1 98,810 1 00,380 9 8,426 1 95,296 9 8,508 9 6,785 7 50 3 79 3 71 3 49 1 89 1 60 1 ,793 1 ,009 7 83 5 95 2 83 3 12 2 7 1 2 1 5 14-17 1 07,808 5 5,289 5 2,515 1 02,512 5 2,264 5 0,244 2 ,180 1 ,143 1 ,037 2 ,128 1 ,308 8 20 6 16 3 67 2 49 3 61 2 02 1 59 1 1 5 6 18-22 9 0,901 4 8,022 4 2,879 4 8,057 2 6,436 2 1,621 2 8,688 1 3,854 1 4,834 1 2,441 6 ,692 5 ,749 1 ,057 6 42 4 15 6 41 3 90 2 51 1 7 8 9 23+ 4 62,294 2 18,929 2 43,356 1 2,111 6 ,919 5 ,191 2 44,442 1 20,495 1 23,944 1 50,372 7 3,145 7 7,224 4 5,013 1 2,819 3 2,192 1 0,278 5 ,519 4 ,759 7 8 3 2 4 6 Not Stated 7 3 4 - - - - - - - - - - - - - - - 7 3 4 NYANDARUA 5 94,649 2 92,917 3 01,715 2 49,756 1 28,283 1 21,466 1 99,054 9 8,748 1 00,304 1 05,160 5 0,160 5 4,994 3 8,777 1 4,653 2 4,123 1 ,836 1 ,041 7 95 6 6 3 2 3 3 3-5 4 2,681 2 1,777 2 0,904 2 9,008 1 4,633 1 4,375 7 2 4 2 3 0 1 8 6 1 2 1 3,487 7 ,047 6 ,440 9 4 4 7 4 7 2 2 - 4-5 2 8,476 1 4,612 1 3,864 2 4,955 1 2,712 1 2,243 6 3 3 7 2 6 1 5 6 9 3 ,403 1 ,837 1 ,566 3 8 1 8 2 0 2 2 - 6-13 1 25,821 6 4,004 6 1,814 1 24,247 6 3,150 6 1,095 4 88 2 50 2 38 2 15 1 26 8 9 7 93 4 42 3 51 6 5 2 8 3 7 1 3 8 4 14-17 6 7,092 3 4,815 3 2,274 6 3,497 3 2,497 3 0,997 1 ,572 9 80 5 92 1 ,639 1 ,086 5 53 3 40 2 20 1 20 3 9 2 8 1 1 5 4 1 18-22 5 5,712 2 8,902 2 6,807 2 6,863 1 4,516 1 2,345 1 9,835 9 ,646 1 0,189 8 ,346 4 ,324 4 ,021 5 52 3 44 2 08 1 11 7 0 4 1 5 2 3 23+ 3 03,339 1 43,416 1 59,915 6 ,141 3 ,487 2 ,654 1 77,087 8 7,830 8 9,255 9 4,942 4 4,618 5 0,319 2 3,605 6 ,600 1 7,004 1 ,527 8 68 6 59 3 7 1 3 2 4 Not Stated 4 3 1 - - - - - - - - - - - - - - - 4 3 1 146

Page 160

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female NYERI 7 09,353 3 48,266 3 61,061 2 53,898 1 30,417 1 23,475 3 01,927 1 50,457 1 51,460 1 13,307 5 2,289 6 1,009 3 6,036 1 2,895 2 3,140 4 ,138 2 ,180 1 ,958 4 7 2 8 1 9 3-5 4 3,862 2 2,311 2 1,551 3 1,525 1 5,944 1 5,581 1 39 7 7 6 2 2 1 1 0 1 1 1 2,020 6 ,189 5 ,831 1 57 9 1 6 6 - - - 4-5 2 9,104 1 4,773 1 4,331 2 6,711 1 3,507 1 3,204 1 23 6 9 5 4 1 8 9 9 2 ,211 1 ,166 1 ,045 4 1 2 2 1 9 - - - 6-13 1 21,417 6 1,334 6 0,079 1 19,861 6 0,515 5 9,342 6 05 2 86 3 19 1 58 8 9 6 9 7 00 4 05 2 95 9 1 3 8 5 3 2 1 1 14-17 6 0,933 3 1,368 2 9,563 5 8,712 3 0,139 2 8,571 1 ,185 6 65 5 20 7 60 3 95 3 65 2 19 1 38 8 1 5 7 3 1 2 6 - - - 18-22 6 2,879 3 2,162 3 0,716 3 2,979 1 7,696 1 5,283 2 3,427 1 1,288 1 2,138 5 ,917 2 ,870 3 ,047 3 95 2 27 1 68 1 59 8 0 7 9 2 1 1 23+ 4 20,254 2 01,088 2 19,147 1 0,821 6 ,123 4 ,698 2 76,571 1 38,141 1 38,421 1 06,451 4 8,925 5 7,517 2 2,702 5 ,936 1 6,765 3 ,674 1 ,940 1 ,734 3 5 2 3 1 2 Not Stated 8 3 5 - - - - - - - - - - - - - - - 8 3 5 KIRINYAGA 5 71,312 2 81,556 2 89,729 1 93,518 9 8,661 9 4,852 1 99,413 1 00,582 9 8,822 1 36,968 6 7,459 6 9,497 3 7,445 1 2,577 2 4,867 3 ,931 2 ,256 1 ,675 3 7 2 1 1 6 3-5 3 3,976 1 7,040 1 6,935 2 4,045 1 1,919 1 2,125 5 3 2 5 2 8 1 5 1 1 4 9 ,757 5 ,040 4 ,717 1 06 4 5 6 1 - - - 4-5 2 2,267 1 1,160 1 1,106 2 0,016 1 0,003 1 0,012 4 5 2 1 2 4 1 3 1 0 3 2 ,153 1 ,107 1 ,046 4 0 1 9 2 1 - - - 6-13 9 4,614 4 7,419 4 7,192 9 3,422 4 6,820 4 6,599 2 45 1 20 1 25 1 98 9 1 1 07 6 84 3 57 3 27 6 3 3 0 3 3 2 1 1 14-17 4 9,301 2 4,837 2 4,464 4 6,611 2 3,443 2 3,168 7 95 3 85 4 10 1 ,575 8 26 7 49 2 69 1 57 1 12 4 9 2 5 2 4 2 1 1 18-22 4 8,364 2 4,427 2 3,932 2 2,856 1 2,700 1 0,155 1 5,907 7 ,211 8 ,694 9 ,033 4 ,196 4 ,836 4 17 2 42 1 74 1 50 7 7 7 3 1 1 - 23+ 3 45,051 1 67,832 1 77,201 6 ,584 3 ,779 2 ,805 1 82,413 9 2,841 8 9,565 1 26,147 6 2,335 6 3,801 2 6,318 6 ,781 1 9,537 3 ,563 2 ,079 1 ,484 2 6 1 7 9 Not Stated 6 1 5 - - - - - - - - - - - - - - - 6 1 5 147

Page 161

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female MURANG’A 9 88,224 4 88,689 4 99,505 3 58,844 1 84,250 1 74,580 3 58,964 1 82,572 1 76,382 1 93,814 9 3,190 1 00,619 7 2,326 2 6,285 4 6,040 4 ,133 2 ,319 1 ,814 1 43 7 3 7 0 3-5 6 7,471 3 3,926 3 3,541 4 1,876 2 0,808 2 1,064 1 30 7 0 6 0 2 8 1 2 1 6 2 5,261 1 2,959 1 2,302 1 71 7 4 9 7 5 3 2 4-5 4 4,956 2 2,796 2 2,157 3 7,687 1 8,907 1 8,777 1 20 6 4 5 6 2 3 8 1 5 7 ,056 3 ,792 3 ,264 6 7 2 4 4 3 3 1 2 6-13 1 86,279 9 4,019 9 2,255 1 83,881 9 2,751 9 1,125 6 85 3 49 3 36 3 10 1 77 1 33 1 ,292 6 80 6 12 9 6 5 3 4 3 1 5 9 6 14-17 9 1,751 4 7,611 4 4,135 8 6,318 4 4,443 4 1,871 2 ,246 1 ,247 9 99 2 ,604 1 ,551 1 ,052 5 17 3 32 1 85 5 9 3 3 2 6 7 5 2 18-22 8 2,948 4 3,261 3 9,685 3 6,812 2 0,597 1 6,215 3 1,697 1 5,317 1 6,378 1 3,517 6 ,806 6 ,711 7 57 4 60 2 97 1 51 7 7 7 4 1 4 4 1 0 23+ 5 59,763 2 69,866 2 89,883 9 ,957 5 ,651 4 ,305 3 24,206 1 65,589 1 58,609 1 77,355 8 4,644 9 2,707 4 4,499 1 1,854 3 2,644 3 ,656 2 ,082 1 ,574 9 0 4 6 4 4 Not Stated 1 2 6 6 - - - - - - - - - - - - - - - 1 2 6 6 KIAMBU 2 ,231,514 1 ,092,380 1 ,139,012 7 78,586 3 88,770 3 89,788 1 ,013,910 5 04,910 5 08,948 3 26,845 1 51,002 1 75,810 9 8,594 4 0,162 5 8,423 1 3,057 7 ,274 5 ,783 5 22 2 62 2 60 3-5 1 55,144 7 8,256 7 6,880 1 08,329 5 4,051 5 4,274 5 14 2 65 2 49 9 3 4 2 5 1 4 5,618 2 3,582 2 2,032 5 67 3 03 2 64 2 3 1 3 1 0 4-5 1 00,437 5 0,825 4 9,609 9 0,337 4 5,425 4 4,909 4 14 2 14 2 00 7 9 3 7 4 2 9 ,433 5 ,046 4 ,387 1 61 9 6 6 5 1 3 7 6 6-13 3 74,911 1 86,878 1 88,018 3 69,370 1 84,065 1 85,290 2 ,275 1 ,120 1 ,155 5 87 2 89 2 98 2 ,352 1 ,238 1 ,114 2 78 1 43 1 35 4 9 2 3 2 6 14-17 1 69,388 8 3,312 8 6,075 1 58,715 7 8,091 8 0,623 5 ,415 2 ,623 2 ,792 4 ,200 2 ,039 2 ,161 8 33 4 45 3 88 1 91 9 7 9 4 3 4 1 7 1 7 18-22 2 33,792 1 06,763 1 27,011 9 2,987 4 5,971 4 7,012 1 06,929 4 6,333 6 0,586 3 1,176 1 3,140 1 8,032 1 ,792 9 10 8 82 8 44 3 85 4 59 6 4 2 4 4 0 23+ 1 ,298,243 6 37,150 6 61,013 4 9,185 2 6,592 2 2,589 8 98,777 4 54,569 4 44,166 2 90,789 1 35,492 1 55,268 4 7,999 1 3,987 3 4,007 1 1,177 6 ,346 4 ,831 3 16 1 64 1 52 Not Stated 3 6 2 1 1 5 - - - - - - - - - - - - - - - 3 6 2 1 1 5 148

Page 162

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female TURKANA 8 51,797 4 39,467 4 12,311 1 84,015 9 8,266 8 5,746 3 3,028 2 1,042 1 1,986 2 8,982 1 4,573 1 4,409 5 84,977 2 94,430 2 90,531 2 0,077 1 0,795 9 ,282 7 18 3 61 3 57 3-5 9 2,532 4 6,790 4 5,740 2 5,405 1 2,714 1 2,690 1 11 6 3 4 8 1 28 6 1 6 7 6 4,896 3 2,889 3 2,006 1 ,943 1 ,037 9 06 4 9 2 6 2 3 4-5 6 2,482 3 1,715 3 0,765 1 9,513 9 ,805 9 ,707 9 0 5 2 3 8 1 00 5 0 5 0 4 1,456 2 1,092 2 0,363 1 ,285 6 98 5 87 3 8 1 8 2 0 6-13 2 29,929 1 18,795 1 11,131 8 5,078 4 2,607 4 2,470 5 47 2 76 2 71 1 ,029 5 69 4 60 1 38,313 7 2,678 6 5,633 4 ,759 2 ,560 2 ,199 2 03 1 05 9 8 14-17 1 01,217 5 6,809 4 4,406 3 6,316 1 9,328 1 6,988 6 41 3 14 3 27 1 ,709 7 05 1 ,004 6 0,157 3 5,106 2 5,049 2 ,295 1 ,300 9 95 9 9 5 6 4 3 18-22 1 05,054 5 7,408 4 7,642 2 3,223 1 4,140 9 ,082 5 ,758 2 ,993 2 ,765 6 ,070 2 ,285 3 ,785 6 7,179 3 6,417 3 0,759 2 ,730 1 ,522 1 ,208 9 4 5 1 4 3 23+ 3 23,062 1 59,664 1 63,390 1 3,993 9 ,477 4 ,516 2 5,971 1 7,396 8 ,575 2 0,046 1 0,953 9 ,093 2 54,432 1 17,340 1 37,084 8 ,350 4 ,376 3 ,974 2 70 1 22 1 48 Not Stated 3 1 2 - - - - - - - - - - - - - - - 3 1 2 WEST POKOT 5 53,584 2 72,728 2 80,844 2 35,136 1 19,842 1 15,287 3 6,841 2 0,733 1 6,108 5 6,672 2 8,006 2 8,666 2 18,972 1 01,121 1 17,846 5 ,860 2 ,978 2 ,882 1 03 4 8 5 5 3-5 7 1,389 3 5,934 3 5,454 2 8,238 1 3,959 1 4,279 9 3 4 1 5 2 8 5 5 2 3 3 4 2,082 2 1,431 2 0,650 8 80 4 46 4 34 1 1 5 6 4-5 4 7,332 2 3,986 2 3,346 2 3,683 1 1,778 1 1,905 7 3 3 2 4 1 6 6 3 9 2 7 2 3,013 1 1,873 1 1,140 4 91 2 62 2 29 6 2 4 6-13 1 63,751 8 1,683 8 2,062 1 21,125 6 0,007 6 1,112 4 47 2 27 2 20 7 10 3 74 3 36 4 0,529 2 0,613 1 9,916 9 11 4 49 4 62 2 9 1 3 1 6 14-17 6 0,866 3 1,465 2 9,400 4 6,850 2 3,880 2 2,969 4 73 2 12 2 61 1 ,905 8 53 1 ,052 1 1,291 6 ,337 4 ,954 3 33 1 77 1 56 1 4 6 8 18-22 5 7,245 2 7,423 2 9,822 2 6,686 1 4,809 1 1,877 5 ,195 2 ,307 2 ,888 9 ,373 3 ,401 5 ,972 1 5,458 6 ,638 8 ,820 5 27 2 64 2 63 6 4 2 23+ 2 00,330 9 6,221 1 04,105 1 2,237 7 ,187 5 ,050 3 0,633 1 7,946 1 2,687 4 4,599 2 3,326 2 1,273 1 09,612 4 6,102 6 3,506 3 ,209 1 ,642 1 ,567 4 0 1 8 2 2 Not Stated 3 2 1 - - - - - - - - - - - - - - - 3 2 1 149

Page 163

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female SAMBURU 2 79,891 1 41,072 1 38,814 8 6,608 4 6,092 4 0,515 2 1,260 1 2,778 8 ,482 1 2,334 6 ,193 6 ,141 1 57,284 7 4,619 8 2,661 2 ,377 1 ,378 9 99 2 8 1 2 1 6 3-5 3 4,303 1 7,343 1 6,959 1 3,879 7 ,096 6 ,782 3 8 1 4 2 4 3 4 1 9 1 5 2 0,096 1 0,088 1 0,008 2 52 1 23 1 29 4 3 1 4-5 2 3,141 1 1,757 1 1,384 1 0,866 5 ,591 5 ,275 3 4 1 3 2 1 2 7 1 5 1 2 1 2,017 6 ,038 5 ,979 1 94 9 8 9 6 3 2 1 6-13 8 0,657 4 1,078 3 9,578 4 3,671 2 2,064 2 1,607 1 69 8 6 8 3 3 62 2 04 1 58 3 5,958 1 8,463 1 7,494 4 91 2 59 2 32 6 2 4 14-17 3 1,384 1 7,237 1 4,147 1 6,855 8 ,900 7 ,955 4 00 1 73 2 27 8 18 3 70 4 48 1 3,065 7 ,653 5 ,412 2 42 1 39 1 03 4 2 2 18-22 3 1,766 1 6,192 1 5,572 8 ,528 5 ,480 3 ,048 3 ,763 1 ,744 2 ,019 2 ,704 9 55 1 ,749 1 6,501 7 ,848 8 ,651 2 69 1 65 1 04 1 - 1 23+ 1 01,779 4 9,221 5 2,557 3 ,675 2 ,552 1 ,123 1 6,890 1 0,761 6 ,129 8 ,416 4 ,645 3 ,771 7 1,664 3 0,567 4 1,096 1 ,123 6 92 4 31 1 1 4 7 Not Stated 2 1 1 - - - - - - - - - - - - - - - 2 1 1 TRANS NZOIA 9 11,209 4 48,487 4 62,701 4 40,977 2 24,218 2 16,747 1 73,534 8 8,354 8 5,175 1 93,088 8 8,076 1 05,011 9 3,829 4 2,289 5 1,537 9 ,713 5 ,518 4 ,195 6 8 3 2 3 6 3-5 8 3,247 4 2,152 4 1,094 4 6,812 2 2,915 2 3,897 1 67 7 2 9 5 1 04 5 2 5 2 3 5,420 1 8,720 1 6,699 7 38 3 92 3 46 6 1 5 4-5 5 5,658 2 8,320 2 7,337 4 1,200 2 0,365 2 0,835 1 48 6 4 8 4 9 1 4 5 4 6 1 3,843 7 ,646 6 ,196 3 72 2 00 1 72 4 - 4 6-13 2 34,014 1 17,244 1 16,761 2 25,992 1 12,867 1 13,117 1 ,068 5 26 5 42 7 46 4 11 3 35 5 ,452 3 ,049 2 ,402 7 43 3 83 3 60 1 3 8 5 14-17 1 10,188 5 5,917 5 4,268 1 02,254 5 1,887 5 0,364 1 ,580 7 25 8 55 3 ,971 1 ,903 2 ,068 1 ,967 1 ,156 8 11 4 14 2 45 1 69 2 1 1 18-22 9 5,617 4 7,616 4 7,998 5 0,054 2 7,763 2 2,290 2 0,212 8 ,766 1 1,444 2 1,530 8 ,943 1 2,587 3 ,095 1 ,735 1 ,360 7 18 4 04 3 14 8 5 3 23+ 3 88,139 1 85,557 2 02,577 1 5,865 8 ,786 7 ,079 1 50,507 7 8,265 7 2,239 1 66,737 7 6,767 8 9,969 4 7,895 1 7,629 3 0,265 7 ,100 4 ,094 3 ,006 3 5 1 6 1 9 Not Stated 4 1 3 - - - - - - - - - - - - - - - 4 1 3 150

Page 164

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female UASIN GISHU 1 ,070,335 5 31,769 5 38,543 4 80,402 2 41,839 2 38,555 3 21,505 1 63,748 1 57,748 1 80,625 8 5,855 9 4,766 7 9,032 3 5,299 4 3,731 8 ,633 4 ,960 3 ,673 1 38 6 8 7 0 3-5 8 4,616 4 2,799 4 1,816 5 3,145 2 6,575 2 6,570 1 97 1 00 9 7 7 6 3 9 3 7 3 0,580 1 5,766 1 4,813 6 09 3 14 2 95 9 5 4 4-5 5 5,870 2 8,585 2 7,284 4 6,831 2 3,725 2 3,106 1 67 8 5 8 2 5 6 3 2 2 4 8 ,573 4 ,609 3 ,963 2 35 1 29 1 06 8 5 3 6-13 2 30,476 1 15,367 1 15,106 2 26,140 1 13,100 1 13,037 1 ,052 5 10 5 42 5 21 2 61 2 60 2 ,335 1 ,286 1 ,049 4 16 2 04 2 12 1 2 6 6 14-17 1 10,655 5 5,103 5 5,550 1 04,781 5 2,256 5 2,523 2 ,079 9 39 1 ,140 2 ,539 1 ,217 1 ,322 9 55 5 42 4 13 2 86 1 42 1 44 1 5 7 8 18-22 1 23,354 5 9,968 6 3,383 6 5,906 3 3,844 3 2,061 3 6,578 1 6,643 1 9,933 1 8,274 8 ,035 1 0,239 1 ,935 1 ,083 8 52 6 50 3 59 2 91 1 1 4 7 23+ 5 21,223 2 58,524 2 62,685 3 0,430 1 6,064 1 4,364 2 81,599 1 45,556 1 36,036 1 59,215 7 6,303 8 2,908 4 3,227 1 6,622 2 6,604 6 ,672 3 ,941 2 ,731 8 0 3 8 4 2 Not Stated 1 1 8 3 - - - - - - - - - - - - - - - 1 1 8 3 ELGEYO/MARAKWET 4 18,765 2 09,151 2 09,602 2 03,979 1 03,310 1 00,663 9 3,397 4 8,510 4 4,886 6 5,739 3 1,890 3 3,847 5 2,047 2 3,622 2 8,423 3 ,541 1 ,789 1 ,751 6 2 3 0 3 2 3-5 3 9,392 1 9,764 1 9,627 2 3,955 1 1,865 1 2,090 1 15 5 9 5 6 5 8 2 9 2 9 1 5,007 7 ,680 7 ,326 2 55 1 30 1 25 2 1 1 4-5 2 6,609 1 3,421 1 3,188 2 1,452 1 0,694 1 0,758 9 8 5 2 4 6 4 9 2 6 2 3 4 ,866 2 ,566 2 ,300 1 42 8 2 6 0 2 1 1 6-13 1 04,281 5 2,519 5 1,758 1 01,291 5 0,948 5 0,339 6 45 3 03 3 42 4 05 2 24 1 81 1 ,599 8 77 7 22 3 26 1 57 1 69 1 5 1 0 5 14-17 4 8,439 2 4,589 2 3,850 4 5,291 2 2,852 2 2,439 9 15 4 47 4 68 1 ,194 6 69 5 25 8 55 5 24 3 31 1 80 9 7 8 3 4 - 4 18-22 4 6,382 2 3,577 2 2,804 2 5,217 1 3,349 1 1,867 1 2,170 5 ,935 6 ,235 7 ,238 3 ,366 3 ,872 1 ,498 7 81 7 17 2 51 1 43 1 08 8 3 5 23+ 1 80,270 8 8,702 9 1,562 8 ,225 4 ,296 3 ,928 7 9,552 4 1,766 3 7,785 5 6,844 2 7,602 2 9,240 3 3,088 1 3,760 1 9,327 2 ,529 1 ,262 1 ,266 3 2 1 6 1 6 Not Stated 1 - 1 - - - - - - - - - - - - - - - 1 - 1 151

Page 165

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female NANDI 8 22,163 4 08,980 4 13,163 3 90,831 1 99,523 1 91,303 1 66,706 8 5,080 8 1,621 1 86,639 8 8,754 9 7,879 7 0,665 3 1,654 3 9,007 7 ,242 3 ,921 3 ,321 8 0 4 8 3 2 3-5 6 6,490 3 3,480 3 3,010 3 9,897 1 9,669 2 0,228 1 16 4 6 7 0 5 1 2 2 2 9 2 5,793 1 3,386 1 2,407 6 28 3 52 2 76 5 5 - 4-5 4 4,538 2 2,603 2 1,935 3 5,836 1 7,847 1 7,989 1 03 4 4 5 9 4 4 2 1 2 3 8 ,293 4 ,541 3 ,752 2 58 1 46 1 12 4 4 - 6-13 1 95,326 9 8,447 9 6,875 1 91,183 9 6,237 9 4,943 6 22 3 13 3 08 4 95 2 45 2 50 2 ,378 1 ,350 1 ,028 6 33 2 94 3 39 1 5 8 7 14-17 9 4,363 4 7,864 4 6,497 8 9,880 4 5,607 4 4,271 1 ,053 4 71 5 82 2 ,172 1 ,051 1 ,121 9 25 5 53 3 72 3 23 1 77 1 46 1 0 5 5 18-22 8 8,508 4 4,442 4 4,066 5 2,238 2 8,424 2 3,814 1 7,834 7 ,809 1 0,025 1 6,491 7 ,152 9 ,339 1 ,472 7 93 6 79 4 63 2 56 2 07 1 0 8 2 23+ 3 77,474 1 84,747 1 92,713 1 7,633 9 ,586 8 ,047 1 47,081 7 6,441 7 0,636 1 67,430 8 0,284 8 7,140 4 0,097 1 5,572 2 4,521 5 ,195 2 ,842 2 ,353 3 8 2 2 1 6 Not Stated 2 - 2 - - - - - - - - - - - - - - - 2 - 2 BARINGO 6 09,555 3 06,702 3 02,842 2 53,878 1 30,797 1 23,075 1 24,066 6 4,231 5 9,832 6 7,739 3 2,867 3 4,871 1 57,298 7 5,333 8 1,964 6 ,530 3 ,456 3 ,074 4 4 1 8 2 6 3-5 6 2,290 3 1,948 3 0,341 3 3,330 1 7,006 1 6,323 1 57 7 1 8 6 4 0 2 4 1 6 2 8,135 1 4,523 1 3,612 6 26 3 24 3 02 2 - 2 4-5 4 1,983 2 1,705 2 0,277 2 8,583 1 4,708 1 3,874 1 29 6 0 6 9 3 1 1 7 1 4 1 2,918 6 ,753 6 ,165 3 21 1 67 1 54 1 - 1 6-13 1 60,892 8 2,417 7 8,472 1 26,189 6 4,068 6 2,118 7 98 4 23 3 75 3 20 1 68 1 52 3 2,573 1 7,230 1 5,343 1 ,003 5 26 4 77 9 2 7 14-17 7 1,616 3 7,496 3 4,118 5 6,144 2 8,763 2 7,379 1 ,429 7 39 6 90 1 ,367 6 57 7 10 1 2,200 7 ,066 5 ,134 4 72 2 69 2 03 4 2 2 18-22 6 7,062 3 3,850 3 3,212 2 7,877 1 5,184 1 2,693 1 6,784 7 ,906 8 ,878 7 ,956 3 ,402 4 ,554 1 3,876 7 ,059 6 ,817 5 66 2 98 2 68 3 1 2 23+ 2 47,694 1 20,990 1 26,699 1 0,338 5 ,776 4 ,562 1 04,898 5 5,092 4 9,803 5 8,056 2 8,616 2 9,439 7 0,514 2 9,455 4 1,058 3 ,863 2 ,039 1 ,824 2 5 1 2 1 3 Not Stated 1 1 - - - - - - - - - - - - - - - - 1 1 - 152

Page 166

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female LAIKIPIA 4 75,756 2 36,702 2 39,042 1 84,613 9 4,751 8 9,858 1 52,372 7 8,392 7 3,979 5 9,213 2 8,229 3 0,981 7 6,475 3 3,580 4 2,891 3 ,045 1 ,731 1 ,314 3 8 1 9 1 9 3-5 4 0,138 2 0,276 1 9,859 2 2,633 1 1,343 1 1,288 8 2 3 3 4 9 2 0 5 1 5 1 7,230 8 ,807 8 ,422 1 70 8 7 8 3 3 1 2 4-5 2 6,367 1 3,309 1 3,056 1 9,448 9 ,768 9 ,678 7 0 2 9 4 1 1 8 5 1 3 6 ,743 3 ,463 3 ,280 8 6 4 4 4 2 2 - 2 6-13 1 03,664 5 2,600 5 1,064 9 3,750 4 7,450 4 6,300 4 73 2 47 2 26 2 31 1 31 1 00 9 ,021 4 ,663 4 ,358 1 85 1 06 7 9 4 3 1 14-17 4 8,761 2 5,287 2 3,472 4 2,795 2 1,898 2 0,895 1 ,295 7 04 5 91 1 ,208 6 66 5 42 3 ,355 1 ,951 1 ,404 1 07 6 7 4 0 1 1 - 18-22 4 6,549 2 3,079 2 3,470 1 9,694 1 0,754 8 ,940 1 6,056 7 ,543 8 ,513 5 ,797 2 ,607 3 ,190 4 ,801 2 ,062 2 ,739 1 97 1 11 8 6 4 2 2 23+ 2 36,641 1 15,459 1 21,175 5 ,741 3 ,306 2 ,435 1 34,466 6 9,865 6 4,600 5 1,957 2 4,820 2 7,134 4 2,068 1 6,097 2 5,968 2 ,386 1 ,360 1 ,026 2 3 1 1 1 2 Not Stated 3 1 2 - - - - - - - - - - - - - - - 3 1 2 NAKURU 1 ,981,598 9 82,910 9 98,603 8 43,280 4 29,850 4 13,397 6 52,319 3 30,145 3 22,148 3 22,032 1 50,063 1 71,948 1 47,198 6 3,298 8 3,897 1 6,450 9 ,390 7 ,058 3 19 1 64 1 55 3-5 1 64,130 8 3,284 8 0,844 1 04,542 5 2,358 5 2,182 5 02 2 48 2 54 9 5 4 6 4 9 5 7,969 3 0,091 2 7,878 1 ,009 5 36 4 73 1 3 5 8 4-5 1 08,030 5 5,072 5 2,956 8 9,815 4 5,296 4 4,517 4 27 2 16 2 11 7 1 3 5 3 6 1 7,322 9 ,315 8 ,007 3 84 2 05 1 79 1 1 5 6 6-13 4 33,713 2 18,423 2 15,268 4 24,494 2 13,484 2 10,990 2 ,538 1 ,259 1 ,279 8 89 5 07 3 82 4 ,939 2 ,724 2 ,213 8 09 4 27 3 82 4 4 2 2 2 2 14-17 2 01,252 1 01,912 9 9,331 1 87,350 9 4,444 9 2,897 5 ,727 2 ,951 2 ,776 5 ,797 3 ,146 2 ,651 1 ,899 1 ,136 7 63 4 36 2 16 2 20 4 3 1 9 2 4 18-22 2 11,871 1 04,982 1 06,878 9 2,487 5 0,218 4 2,268 7 9,891 3 7,234 4 2,652 3 4,892 1 5,079 1 9,808 3 ,542 1 ,894 1 ,648 1 ,019 5 34 4 85 4 0 2 3 1 7 23+ 9 70,604 4 74,288 4 96,275 3 4,407 1 9,346 1 5,060 5 63,661 2 88,453 2 75,187 2 80,359 1 31,285 1 49,058 7 8,849 2 7,453 5 1,395 1 3,177 7 ,677 5 ,498 1 51 7 4 7 7 Not Stated 2 8 2 1 7 - - - - - - - - - - - - - - - 2 8 2 1 7 153

Page 167

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female NAROK 1 ,044,966 5 20,523 5 24,419 4 81,160 2 48,214 2 32,941 1 20,221 6 6,633 5 3,583 1 49,044 7 0,531 7 8,513 2 83,500 1 28,801 1 54,686 1 0,856 6 ,235 4 ,620 1 85 1 09 7 6 3-5 1 25,183 6 3,148 6 2,032 5 4,998 2 7,056 2 7,940 2 17 1 20 9 7 1 07 5 6 5 1 6 8,647 3 5,307 3 3,339 1 ,204 6 04 6 00 1 0 5 5 4-5 8 4,368 4 2,744 4 1,621 4 8,390 2 4,033 2 4,355 1 71 9 1 8 0 9 2 4 9 4 3 3 5,019 1 8,235 1 6,783 6 90 3 33 3 57 6 3 3 6-13 3 04,628 1 54,183 1 50,443 2 69,844 1 36,269 1 33,574 1 ,048 5 30 5 18 9 23 5 74 3 49 3 1,137 1 5,967 1 5,169 1 ,643 8 25 8 18 3 3 1 8 1 5 14-17 1 12,495 5 8,227 5 4,265 9 6,726 4 9,407 4 7,317 1 ,556 7 30 8 26 4 ,361 2 ,266 2 ,095 9 ,111 5 ,368 3 ,742 7 19 4 44 2 75 2 2 1 2 1 0 18-22 1 06,836 5 1,595 5 5,237 4 3,660 2 5,697 1 7,963 1 8,548 7 ,841 1 0,707 2 4,586 9 ,304 1 5,282 1 8,922 8 ,088 1 0,830 1 ,104 6 55 4 49 1 6 1 0 6 23+ 3 95,817 1 93,365 2 02,440 1 5,932 9 ,785 6 ,147 9 8,852 5 7,412 4 1,435 1 19,067 5 8,331 6 0,736 1 55,683 6 4,071 9 1,606 6 ,186 3 ,707 2 ,478 9 7 5 9 3 8 Not Stated 7 5 2 - - - - - - - - - - - - - - - 7 5 2 KAJIADO 1 ,016,058 5 04,023 5 12,004 3 89,090 1 95,925 1 93,153 3 19,689 1 64,069 1 55,610 1 11,477 5 4,115 5 7,359 1 82,329 8 2,454 9 9,870 1 3,146 7 ,321 5 ,824 3 27 1 39 1 88 3-5 9 5,750 4 8,340 4 7,408 5 3,326 2 6,613 2 6,711 4 49 2 39 2 10 1 00 4 6 5 4 4 0,813 2 0,884 1 9,929 1 ,042 5 46 4 96 2 0 1 2 8 4-5 6 2,865 3 1,793 3 1,070 4 4,372 2 2,353 2 2,017 3 70 2 00 1 70 8 0 3 5 4 5 1 7,563 8 ,971 8 ,592 4 67 2 26 2 41 1 3 8 5 6-13 2 19,157 1 09,327 1 09,826 1 97,986 9 8,494 9 9,489 1 ,663 7 97 8 66 6 86 3 77 3 09 1 7,594 9 ,030 8 ,563 1 ,177 6 07 5 70 5 1 2 2 2 9 14-17 8 4,804 4 2,061 4 2,739 7 3,319 3 6,192 3 7,123 2 ,938 1 ,322 1 ,616 2 ,656 1 ,202 1 ,454 5 ,338 3 ,039 2 ,299 5 29 3 01 2 28 2 4 5 1 9 18-22 1 06,535 4 8,815 5 7,719 4 0,224 2 1,072 1 9,152 3 8,530 1 6,480 2 2,049 1 5,487 5 ,987 9 ,500 1 1,023 4 ,657 6 ,366 1 ,228 5 98 6 30 4 3 2 1 2 2 23+ 5 09,795 2 55,471 2 54,304 2 4,235 1 3,554 1 0,678 2 76,109 1 45,231 1 30,869 9 2,548 4 6,503 4 6,042 1 07,561 4 4,844 6 2,713 9 ,170 5 ,269 3 ,900 1 72 7 0 1 02 Not Stated 1 7 9 8 - - - - - - - - - - - - - - - 1 7 9 8 154

Page 168

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female KERICHO 8 34,061 4 15,734 4 18,300 3 87,109 1 97,586 1 89,513 2 01,479 1 05,284 9 6,187 1 72,473 8 0,978 9 1,489 6 8,545 2 9,453 3 9,089 4 ,236 2 ,323 1 ,913 2 19 1 10 1 09 3-5 6 9,748 3 5,194 3 4,552 4 4,146 2 1,769 2 2,376 1 54 7 9 7 5 4 7 2 1 2 6 2 5,049 1 3,144 1 1,904 3 28 1 67 1 61 2 4 1 4 1 0 4-5 4 6,484 2 3,536 2 2,947 3 8,923 1 9,347 1 9,575 1 35 6 8 6 7 3 9 1 7 2 2 7 ,243 4 ,031 3 ,212 1 25 6 4 6 1 1 9 9 1 0 6-13 1 96,670 9 8,993 9 7,672 1 92,832 9 6,992 9 5,836 7 80 3 79 4 01 4 61 2 56 2 05 2 ,305 1 ,214 1 ,090 2 55 1 33 1 22 3 7 1 9 1 8 14-17 9 3,473 4 7,170 4 6,299 8 7,960 4 4,503 4 3,455 1 ,775 8 09 9 64 2 ,660 1 ,242 1 ,418 9 08 5 23 3 85 1 51 8 1 7 0 1 9 1 2 7 18-22 9 0,310 4 4,358 4 5,948 4 6,420 2 5,534 2 0,883 2 3,497 1 0,202 1 3,294 1 8,513 7 ,653 1 0,860 1 ,574 8 13 7 61 2 86 1 49 1 37 2 0 7 1 3 23+ 3 83,847 1 90,009 1 93,826 1 5,751 8 ,788 6 ,963 1 75,273 9 3,815 8 1,453 1 50,792 7 1,806 7 8,980 3 8,709 1 3,759 2 4,949 3 ,216 1 ,793 1 ,423 1 06 4 8 5 8 Not Stated 1 3 1 0 3 - - - - - - - - - - - - - - - 1 3 1 0 3 BOMET 8 10,122 4 00,694 4 09,407 4 00,330 2 05,930 1 94,390 1 69,658 8 8,746 8 0,911 1 60,702 7 2,327 8 8,369 7 2,627 3 0,078 4 2,545 6 ,730 3 ,572 3 ,158 7 5 4 1 3 4 3-5 7 1,683 3 6,667 3 5,012 4 4,468 2 2,280 2 2,187 1 35 6 3 7 2 5 0 1 8 3 2 2 6,553 1 4,053 1 2,497 4 69 2 48 2 21 8 5 3 4-5 4 8,303 2 4,994 2 3,307 3 9,413 1 9,977 1 9,436 1 18 5 3 6 5 4 3 1 7 2 6 8 ,503 4 ,817 3 ,684 2 23 1 28 9 5 3 2 1 6-13 2 04,123 1 02,940 1 01,175 2 00,711 1 01,101 9 9,602 7 24 3 73 3 51 4 06 2 05 2 01 1 ,743 9 87 7 56 5 27 2 68 2 59 1 2 6 6 14-17 9 7,066 4 9,260 4 7,806 9 1,641 4 6,638 4 5,003 1 ,574 7 27 8 47 2 ,740 1 ,267 1 ,473 8 00 4 70 3 30 3 01 1 51 1 50 1 0 7 3 18-22 8 8,383 4 3,368 4 5,014 4 7,482 2 6,691 2 0,791 2 0,564 8 ,397 1 2,167 1 8,195 7 ,217 1 0,977 1 ,603 7 91 8 12 5 32 2 68 2 64 7 4 3 23+ 3 48,865 1 68,458 1 80,399 1 6,028 9 ,220 6 ,807 1 46,661 7 9,186 6 7,474 1 39,311 6 3,620 7 5,686 4 1,928 1 3,777 2 8,150 4 ,901 2 ,637 2 ,264 3 6 1 8 1 8 Not Stated 2 1 1 - - - - - - - - - - - - - - - 2 1 1 155

Page 169

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female KAKAMEGA 1 ,732,145 8 28,945 9 03,166 8 53,031 4 28,344 4 24,667 3 34,397 1 62,596 1 71,796 3 52,269 1 57,153 1 95,111 1 80,344 7 4,543 1 05,797 1 1,722 6 ,139 5 ,583 3 82 1 70 2 12 3-5 1 47,558 7 3,873 7 3,682 8 8,544 4 2,910 4 5,632 2 87 1 30 1 57 1 57 8 6 7 1 5 7,604 3 0,246 2 7,357 9 45 4 91 4 54 2 1 1 0 1 1 4-5 1 00,334 5 0,542 4 9,790 7 7,195 3 7,855 3 9,339 2 43 1 11 1 32 1 34 7 5 5 9 2 2,319 1 2,270 1 0,048 4 29 2 24 2 05 1 4 7 7 6-13 4 53,066 2 25,220 2 27,834 4 40,352 2 18,382 2 21,959 1 ,786 8 55 9 30 1 ,468 7 86 6 82 8 ,522 4 ,707 3 ,815 8 66 4 59 4 07 7 2 3 1 4 1 14-17 2 11,653 1 05,473 1 06,176 1 97,686 9 8,376 9 9,306 3 ,259 1 ,530 1 ,729 6 ,886 3 ,452 3 ,434 3 ,304 1 ,828 1 ,476 4 90 2 73 2 17 2 8 1 4 1 4 18-22 1 77,364 8 7,650 8 9,711 9 7,044 5 2,752 4 4,290 3 8,049 1 6,073 2 1,976 3 6,638 1 5,765 2 0,872 4 ,790 2 ,601 2 ,189 8 12 4 47 3 65 3 1 1 2 1 9 23+ 7 42,478 3 36,718 4 05,748 2 9,405 1 5,924 1 3,480 2 91,016 1 44,008 1 47,004 3 07,120 1 37,064 1 70,052 1 06,124 3 5,161 7 0,960 8 ,609 4 ,469 4 ,140 2 04 9 2 1 12 Not Stated 2 6 1 1 1 5 - - - - - - - - - - - - - - - 2 6 1 1 1 5 VIHIGA 5 50,070 2 63,949 2 86,112 2 57,982 1 29,422 1 28,556 1 28,847 6 1,789 6 7,055 1 15,345 5 2,189 6 3,154 4 4,178 1 8,682 2 5,496 3 ,623 1 ,815 1 ,808 9 5 5 2 4 3 3-5 4 1,605 2 0,973 2 0,631 2 6,464 1 2,914 1 3,549 5 7 3 0 2 7 1 6 6 1 0 1 4,850 7 ,905 6 ,945 2 15 1 15 1 00 3 3 - 4-5 2 8,048 1 4,175 1 3,872 2 2,580 1 1,144 1 1,435 5 0 2 6 2 4 1 4 5 9 5 ,315 2 ,949 2 ,366 8 9 5 1 3 8 - - - 6-13 1 34,508 6 6,716 6 7,791 1 32,039 6 5,355 6 6,683 4 25 2 00 2 25 3 15 1 82 1 33 1 ,600 9 17 6 83 1 16 5 3 6 3 1 3 9 4 14-17 6 4,944 3 2,709 3 2,234 6 1,532 3 0,841 3 0,690 9 65 4 38 5 27 1 ,789 1 ,043 7 46 5 79 3 46 2 33 6 7 3 3 3 4 1 2 8 4 18-22 5 3,018 2 6,686 2 6,331 3 0,012 1 6,116 1 3,896 1 3,165 5 ,788 7 ,377 8 ,878 4 ,228 4 ,649 8 06 4 79 3 27 1 52 7 3 7 9 5 2 3 23+ 2 55,988 1 16,861 1 39,122 7 ,935 4 ,196 3 ,738 1 14,235 5 5,333 5 8,899 1 04,347 4 6,730 5 7,616 2 6,343 9 ,035 1 7,308 3 ,073 1 ,541 1 ,532 5 5 2 6 2 9 Not Stated 7 4 3 - - - - - - - - - - - - - - - 7 4 3 156

Page 170

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female BUNGOMA 1 ,538,767 7 45,883 7 92,851 7 82,677 3 96,144 3 86,512 2 64,282 1 33,462 1 30,817 3 24,058 1 40,682 1 83,372 1 51,938 6 7,323 8 4,612 1 5,673 8 ,198 7 ,473 1 39 7 4 6 5 3-5 1 43,804 7 2,057 7 1,743 8 0,636 3 9,109 4 1,525 3 59 1 86 1 73 1 73 7 7 9 6 6 0,979 3 1,825 2 9,152 1 ,644 8 53 7 91 1 3 7 6 4-5 9 7,152 4 8,972 4 8,177 7 1,278 3 4,956 3 6,320 3 09 1 65 1 44 1 44 6 3 8 1 2 4,582 1 3,353 1 1,228 8 30 4 28 4 02 9 7 2 6-13 4 18,838 2 08,725 2 10,102 4 03,152 2 00,345 2 02,797 2 ,223 1 ,058 1 ,165 1 ,408 7 50 6 58 1 0,073 5 ,593 4 ,479 1 ,951 9 60 9 91 3 1 1 9 1 2 14-17 1 93,043 9 6,942 9 6,096 1 78,934 9 0,099 8 8,830 3 ,080 1 ,351 1 ,729 6 ,249 2 ,807 3 ,442 3 ,799 2 ,183 1 ,616 9 65 4 93 4 72 1 6 9 7 18-22 1 59,177 7 8,497 8 0,676 8 7,734 4 8,838 3 8,893 2 9,549 1 2,315 1 7,234 3 5,040 1 3,783 2 1,256 5 ,554 2 ,869 2 ,685 1 ,285 6 86 5 99 1 5 6 9 23+ 6 23,898 2 89,656 3 34,233 3 2,221 1 7,753 1 4,467 2 29,071 1 18,552 1 10,516 2 81,188 1 23,265 1 57,920 7 1,533 2 4,853 4 6,680 9 ,828 5 ,206 4 ,620 5 7 2 7 3 0 Not Stated 7 6 1 - - - - - - - - - - - - - - - 7 6 1 BUSIA 8 20,788 3 88,748 4 32,013 4 05,072 2 02,993 2 02,061 1 36,790 7 0,030 6 6,760 1 70,347 7 3,630 9 6,713 1 02,993 3 9,069 6 3,919 5 ,512 2 ,991 2 ,521 7 4 3 5 3 9 3-5 7 0,941 3 5,142 3 5,795 4 0,625 1 9,480 2 1,145 1 05 4 7 5 8 5 1 2 3 2 8 2 9,718 1 5,343 1 4,371 4 39 2 47 1 92 3 2 1 4-5 4 7,244 2 3,501 2 3,740 3 5,338 1 7,148 1 8,190 8 7 4 2 4 5 3 9 1 6 2 3 1 1,579 6 ,175 5 ,401 1 98 1 18 8 0 3 2 1 6-13 2 15,093 1 06,240 1 08,841 2 08,535 1 02,764 1 05,759 7 44 3 74 3 70 5 85 2 97 2 88 4 ,901 2 ,652 2 ,249 3 21 1 52 1 69 7 1 6 14-17 1 02,578 5 0,982 5 1,592 9 4,446 4 7,083 4 7,359 1 ,538 6 77 8 61 3 ,974 1 ,760 2 ,214 2 ,353 1 ,312 1 ,041 2 64 1 49 1 15 3 1 2 18-22 8 9,528 4 3,605 4 5,921 4 7,922 2 6,350 2 1,570 1 7,028 7 ,220 9 ,808 2 0,312 7 ,894 1 2,418 3 ,769 1 ,896 1 ,873 4 91 2 42 2 49 6 3 3 23+ 3 42,639 1 52,774 1 89,860 1 3,544 7 ,316 6 ,228 1 17,375 6 1,712 5 5,663 1 45,425 6 3,656 8 1,765 6 2,252 1 7,866 4 4,385 3 ,997 2 ,201 1 ,796 4 6 2 3 2 3 Not Stated 9 5 4 - - - - - - - - - - - - - - - 9 5 4 157

Page 171

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female SIAYA 9 19,461 4 34,630 4 84,814 4 41,450 2 23,195 2 18,250 1 98,100 9 7,782 1 00,315 1 84,768 7 8,383 1 06,377 8 6,173 3 0,230 5 5,942 8 ,648 4 ,877 3 ,771 3 22 1 63 1 59 3-5 7 7,760 3 9,297 3 8,462 5 1,426 2 5,304 2 6,121 1 26 6 9 5 7 5 6 3 2 2 4 2 5,705 1 3,660 1 2,045 4 31 2 27 2 04 1 6 5 1 1 4-5 5 2,246 2 6,490 2 5,755 4 3,178 2 1,516 2 1,661 1 08 6 0 4 8 4 2 2 3 1 9 8 ,725 4 ,792 3 ,933 1 80 9 4 8 6 1 3 5 8 6-13 2 33,978 1 16,910 1 17,066 2 29,485 1 14,500 1 14,983 8 04 4 05 3 99 5 44 3 04 2 40 2 ,708 1 ,475 1 ,233 3 72 1 89 1 83 6 5 3 7 2 8 14-17 1 04,616 5 2,975 5 1,640 9 8,482 4 9,947 4 8,534 1 ,773 8 35 9 38 3 ,100 1 ,506 1 ,594 1 ,010 5 45 4 65 2 08 1 17 9 1 4 3 2 5 1 8 18-22 9 0,166 4 3,486 4 6,674 4 7,710 2 5,759 2 1,950 2 2,007 9 ,056 1 2,950 1 8,058 7 ,364 1 0,690 1 ,740 9 19 8 21 6 26 3 70 2 56 2 5 1 8 7 23+ 4 12,917 1 81,948 2 30,962 1 4,347 7 ,685 6 ,662 1 73,390 8 7,417 8 5,971 1 63,010 6 9,177 9 3,829 5 5,010 1 3,631 4 1,378 7 ,011 3 ,974 3 ,037 1 49 6 4 8 5 Not Stated 2 4 1 4 1 0 - - - - - - - - - - - - - - - 2 4 1 4 1 0 KISUMU 1 ,061,224 5 11,739 5 49,465 5 04,812 2 53,600 2 51,209 2 84,283 1 44,815 1 39,457 1 88,709 8 0,326 1 08,379 7 5,998 2 9,019 4 6,977 7 ,121 3 ,831 3 ,290 3 01 1 48 1 53 3-5 8 5,467 4 2,605 4 2,861 6 1,951 3 0,291 3 1,660 1 59 8 5 7 4 3 8 2 0 1 8 2 2,857 1 1,968 1 0,888 4 48 2 35 2 13 1 4 6 8 4-5 5 6,556 2 8,300 2 8,256 4 9,996 2 4,751 2 5,245 1 29 6 9 6 0 3 3 1 7 1 6 6 ,215 3 ,359 2 ,856 1 72 9 9 7 3 1 1 5 6 6-13 2 51,981 1 25,467 1 26,512 2 47,576 1 23,165 1 24,409 1 ,010 4 87 5 23 3 93 2 05 1 88 2 ,588 1 ,408 1 ,180 3 67 1 84 1 83 4 7 1 8 2 9 14-17 1 15,510 5 6,973 5 8,536 1 08,909 5 3,880 5 5,028 2 ,190 9 59 1 ,231 2 ,966 1 ,298 1 ,668 1 ,238 7 17 5 21 1 86 1 07 7 9 2 1 1 2 9 18-22 1 17,350 5 4,698 6 2,650 6 2,114 3 2,920 2 9,194 3 2,038 1 3,043 1 8,994 2 0,478 7 ,425 1 3,053 2 ,234 1 ,077 1 ,156 4 48 2 13 2 35 3 8 2 0 1 8 23+ 4 90,890 2 31,984 2 58,892 2 4,262 1 3,344 1 0,918 2 48,886 1 30,241 1 18,635 1 64,834 7 1,378 9 3,452 4 7,081 1 3,849 3 3,232 5 ,672 3 ,092 2 ,580 1 55 8 0 7 5 Not Stated 2 6 1 2 1 4 - - - - - - - - - - - - - - - 2 6 1 2 1 4 HOMA BAY 1 ,037,468 4 91,680 5 45,768 5 39,753 2 74,952 2 64,796 1 96,288 9 8,363 9 7,920 2 00,313 7 9,996 1 20,311 9 4,406 3 4,878 5 9,526 6 ,627 3 ,451 3 ,174 8 1 4 0 4 1 3-5 1 00,679 5 0,471 5 0,205 7 1,803 3 5,385 3 6,416 2 75 1 34 1 41 9 0 5 0 4 0 2 8,055 1 4,672 1 3,383 4 56 2 30 2 25 - - - 4-5 6 7,176 3 3,823 3 3,350 5 7,966 2 8,900 2 9,064 2 21 1 06 1 15 7 5 4 3 3 2 8 ,719 4 ,675 4 ,044 1 95 9 9 9 5 - - - 6-13 2 80,323 1 39,873 1 40,448 2 73,667 1 36,435 1 37,230 1 ,396 6 40 7 56 6 47 3 23 3 24 4 ,169 2 ,265 1 ,904 4 29 2 03 2 26 1 5 7 8 14-17 1 23,369 6 2,213 6 1,154 1 16,031 5 9,064 5 6,966 2 ,188 9 09 1 ,279 3 ,202 1 ,229 1 ,972 1 ,693 8 85 8 08 2 48 1 22 1 26 7 4 3 18-22 1 05,723 5 0,104 5 5,615 5 7,294 3 2,188 2 5,106 2 3,754 9 ,374 1 4,378 2 1,391 7 ,036 1 4,354 2 ,827 1 ,286 1 ,540 4 47 2 15 2 32 1 0 5 5 23+ 4 27,366 1 89,016 2 38,341 2 0,958 1 1,880 9 ,078 1 68,675 8 7,306 8 1,366 1 74,983 7 1,358 1 03,621 5 7,662 1 5,770 4 1,891 5 ,047 2 ,681 2 ,365 4 1 2 1 2 0 Not Stated 8 3 5 - - - - - - - - - - - - - - - 8 3 5 158

Page 172

Table 2.6b: Distribution of Population Age 3 Years and Above by School Attendance Status, Sex, Special Age Groups and County Left School/ Learning Institution Left School/ Learning Never Been to School/ Total* At School/ Learning Institution Don’t Know Not Stated County/ Special Age After Completion Institution Before Completion Learning Institution Groups Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female MIGORI 1 ,016,399 4 86,357 5 30,012 5 22,757 2 65,417 2 57,326 1 71,900 8 8,443 8 3,455 1 97,075 8 1,365 1 15,706 1 14,682 4 6,115 6 8,559 9 ,774 4 ,923 4 ,849 2 11 9 4 1 17 3-5 1 03,502 5 1,610 5 1,888 6 9,717 3 3,965 3 5,750 2 49 1 20 1 29 9 3 4 3 5 0 3 2,700 1 7,110 1 5,588 7 30 3 65 3 65 1 3 7 6 4-5 6 9,293 3 4,616 3 4,673 5 6,644 2 7,907 2 8,735 1 85 9 2 9 3 7 0 3 5 3 5 1 2,021 6 ,399 5 ,620 3 64 1 77 1 87 9 6 3 6-13 2 82,157 1 40,326 1 41,822 2 71,398 1 34,851 1 36,540 1 ,139 5 42 5 97 8 47 4 04 4 43 7 ,714 4 ,048 3 ,665 1 ,012 4 59 5 52 4 7 2 2 2 5 14-17 1 18,783 5 9,503 5 9,277 1 08,544 5 5,011 5 3,530 2 ,252 9 05 1 ,347 4 ,376 1 ,662 2 ,714 3 ,130 1 ,675 1 ,455 4 69 2 46 2 23 1 2 4 8 18-22 1 10,200 5 1,042 5 9,156 5 3,571 3 0,415 2 3,155 2 4,384 9 ,314 1 5,070 2 5,696 8 ,472 1 7,224 5 ,646 2 ,444 3 ,201 8 84 3 86 4 98 1 9 1 1 8 23+ 4 01,742 1 83,872 2 17,858 1 9,527 1 1,175 8 ,351 1 43,876 7 7,562 6 6,312 1 66,063 7 0,784 9 5,275 6 5,492 2 0,838 4 4,650 6 ,679 3 ,467 3 ,211 1 05 4 6 5 9 Not Stated 1 5 4 1 1 - - - - - - - - - - - - - - - 1 5 4 1 1 KISII 1 ,179,067 5 61,241 6 17,793 5 57,477 2 82,802 2 74,662 2 50,730 1 27,184 1 23,540 2 48,244 1 04,190 1 44,048 1 16,381 4 3,902 7 2,471 6 ,092 3 ,097 2 ,995 1 43 6 6 7 7 3-5 9 3,337 4 6,639 4 6,697 6 2,166 3 0,431 3 1,735 2 37 1 13 1 24 1 08 5 6 5 2 3 0,358 1 5,814 1 4,543 4 62 2 21 2 41 6 4 2 4-5 6 3,028 3 1,593 3 1,434 5 3,507 2 6,488 2 7,019 1 90 9 2 9 8 8 8 4 7 4 1 9 ,056 4 ,877 4 ,178 1 82 8 6 9 6 5 3 2 6-13 2 98,924 1 49,848 1 49,067 2 92,169 1 46,337 1 45,826 1 ,452 6 99 7 52 8 61 4 54 4 07 3 ,976 2 ,134 1 ,840 4 44 2 16 2 28 2 2 8 1 4 14-17 1 33,377 6 6,876 6 6,498 1 24,643 6 2,909 6 1,731 2 ,348 1 ,065 1 ,283 4 ,401 1 ,879 2 ,522 1 ,774 9 12 8 62 2 04 1 10 9 4 7 1 6 18-22 1 14,734 5 4,261 6 0,467 5 7,855 3 1,831 2 6,021 2 8,606 1 1,757 1 6,848 2 4,683 9 ,015 1 5,667 3 ,136 1 ,441 1 ,694 4 34 2 07 2 27 2 0 1 0 1 0 23+ 5 38,682 2 43,609 2 95,059 2 0,644 1 1,294 9 ,349 2 18,087 1 13,550 1 04,533 2 18,191 9 2,786 1 25,400 7 7,137 2 3,601 5 3,532 4 ,548 2 ,343 2 ,205 7 5 3 5 4 0 Not Stated 1 3 8 5 - - - - - - - - - - - - - - - 1 3 8 5 NYAMIRA 5 66,741 2 71,344 2 95,385 2 60,426 1 32,577 1 27,840 1 29,917 6 5,482 6 4,433 1 11,433 4 7,174 6 4,258 6 1,480 2 4,389 3 7,091 3 ,431 1 ,701 1 ,730 5 4 2 1 3 3 3-5 4 2,618 2 1,372 2 1,244 2 8,188 1 3,919 1 4,267 8 1 4 3 3 8 5 4 3 0 2 4 1 4,009 7 ,238 6 ,771 2 82 1 41 1 41 4 1 3 4-5 2 8,940 1 4,600 1 4,338 2 4,589 1 2,245 1 2,342 6 8 3 7 3 1 4 6 2 5 2 1 4 ,136 2 ,244 1 ,892 9 8 4 8 5 0 3 1 2 6-13 1 40,120 7 0,514 6 9,602 1 37,026 6 8,941 6 8,081 4 93 2 42 2 51 3 97 1 89 2 08 2 ,016 1 ,050 9 66 1 78 9 0 8 8 1 0 2 8 14-17 6 4,051 3 2,319 3 1,731 6 0,107 3 0,470 2 9,636 1 ,124 5 14 6 10 1 ,689 7 35 9 54 1 ,024 5 50 4 74 1 01 4 7 5 4 6 3 3 18-22 5 0,672 2 4,394 2 6,276 2 5,972 1 4,228 1 1,743 1 2,830 5 ,357 7 ,472 9 ,922 3 ,863 6 ,059 1 ,732 8 53 8 79 2 10 8 9 1 21 6 4 2 23+ 2 69,278 1 22,745 1 46,530 9 ,133 5 ,019 4 ,113 1 15,389 5 9,326 5 6,062 9 9,371 4 2,357 5 7,013 4 2,699 1 4,698 2 8,001 2 ,660 1 ,334 1 ,326 2 6 1 1 1 5 Not Stated 2 - 2 - - - - - - - - - - - - - - - 2 - 2 NAIROBI CITY 4 ,010,447 1 ,986,852 2 ,023,404 1 ,358,304 6 71,188 6 87,064 1 ,921,640 9 84,163 9 37,410 5 05,807 2 28,088 2 77,670 1 87,364 8 3,093 1 04,255 3 5,729 1 9,514 1 6,211 1 ,603 8 06 7 94 3-5 2 85,139 1 42,993 1 42,138 2 03,802 1 00,869 1 02,929 1 ,839 8 85 9 54 2 61 1 25 1 36 7 6,994 3 9,971 3 7,019 2 ,184 1 ,117 1 ,067 5 9 2 6 3 3 4-5 1 83,363 9 2,064 9 1,295 1 62,559 8 1,191 8 1,364 1 ,485 7 30 7 55 2 06 9 9 1 07 1 8,333 9 ,656 8 ,677 7 36 3 68 3 68 4 4 2 0 2 4 6-13 6 47,172 3 18,772 3 28,378 6 26,872 3 08,824 3 18,027 6 ,922 3 ,311 3 ,611 1 ,419 6 75 7 44 1 0,267 5 ,122 5 ,144 1 ,517 7 60 7 57 1 75 8 0 9 5 14-17 2 68,415 1 25,411 1 42,991 2 44,522 1 16,106 1 28,407 1 1,894 4 ,689 7 ,204 7 ,149 2 ,634 4 ,513 3 ,912 1 ,589 2 ,322 8 35 3 56 4 79 1 03 3 7 6 6 18-22 4 52,021 1 94,876 2 57,112 1 65,255 8 1,129 8 4,117 2 13,203 8 7,659 1 25,533 6 0,607 2 1,109 3 9,489 9 ,914 3 ,729 6 ,183 2 ,867 1 ,169 1 ,697 1 75 8 1 9 3 23+ 2 ,357,578 1 ,204,741 1 ,152,722 1 17,853 6 4,260 5 3,584 1 ,687,782 8 87,619 8 00,108 4 36,371 2 03,545 2 32,788 8 6,277 3 2,682 5 3,587 2 8,326 1 6,112 1 2,211 9 69 5 23 4 44 Not Stated 1 22 5 9 6 3 - - - - - - - - - - - - - - - 1 22 5 9 6 3

• Intersex population is excluded from the table since it is too small to be distributed at sub-national level. 159

Page 173

Table 2.7: Distribution of Population Age 15 years and Above by Sex and Main Training Acquired and Qualified for Sex Area of Training Total Male Female Intersex KENYA 2 3,954,582 1 1,999,471 1 1,954,403 7 08 Anthropology… 4 ,684 2 ,674 2 ,009 1 Agriculture (Horticulture, Agribusiness Agric Economics Crop Sciences etc.)… 8 7,144 5 7,384 2 9,760 - Air craft Maintenance Pilot Steewardship Aviation (Air Traffic Controllers)… 2 9,122 1 7,858 1 1,264 - Animal Health and Vetenary Sciences… 2 7,142 2 0,170 6 ,971 1 Architecture and design (Quantity Surveying Structural Engineering etc.)… 6 3,698 5 0,827 1 2,868 3 Arts (Performing and Visual Arts)-Literature Performing arts Visual arts etc… 4 1,576 2 1,647 1 9,928 1 Biology… 1 8,675 1 0,478 8 ,197 - Business (Commerce Accounting Finance Marketing Administration Management Insurance Hotel Management Tourism etc.) 7 79,621 3 84,905 3 94,697 1 9 Chemistry… 1 5,180 1 0,082 5 ,097 1 Computer Science… 1 20,350 7 1,221 4 9,127 2 Divinity and Pastoral Related (Theological Studies)… 5 8,009 4 3,462 1 4,546 1 Earth Sciences (Geology and Meteorology)… 7 ,831 5 ,383 2 ,447 1 Economics… 4 4,257 2 8,308 1 5,945 4 Education (Science Arts Special Management Economics etc)… 7 40,605 3 09,538 4 31,055 1 2 Engineering and technology (Civil Electrical and Electronics Mechanical Chemical Aeronautical Biosystems etc)………………………………………………………………………………………………….. 3 07,699 2 83,514 2 4,177 8 Environmental Studies Marine Ecology and Forestry… 2 1,075 1 2,625 8 ,450 - Family and Consumer Sciences-Home Economics Applied Human Nutrition Diatetrics etc… 5 4,312 1 6,051 3 8,259 2 Geography… 6 ,262 3 ,926 2 ,334 2 Health and Human Medicine (Clinical Officers Nurses Physiotherapist etc)… 1 70,159 5 7,082 1 13,076 1 Health and Human Medicine (Dentists and Pharmacist)… 3 3,748 1 5,347 1 8,400 1 Health and Human Medicine (Doctors)… 2 8,315 1 5,818 1 2,497 - Health and Human Medicine (Laboratory Technologist Radiologists Anaesthesists etc )… 4 7,125 2 2,691 2 4,433 1 History… 2 2,135 1 2,916 9 ,219 - Human Physical Performance and recreation (Sports Science Sports Economics etc.)… 1 0,064 5 ,088 4 ,976 - Interdisciplinary Studies (Cultural Studies Gender Studies Organizational Studies-Project management planning human resource mgt Development Studies) Demography Urban Planning etc……………………. 1 14,973 4 8,269 6 6,696 8 Journalism Media Studies and Communication (Public Relations Mass Communication Speech and Rhetoric etc.)………………………………………………………………………………………………. 8 7,589 4 2,942 4 4,642 5 Languages and Linguistics… 2 8,442 1 2,522 1 5,920 - Law… 3 3,302 1 8,468 1 4,831 3 Library Information Science and Museum Studies… 4 8,647 2 1,590 2 7,056 1 Mathematics (Pure, Applied and Logic)… 2 2,843 1 6,118 6 ,725 - Military Sciences… 2 7,727 2 4,800 2 ,923 4 Philosophy… 5 ,713 3 ,874 1 ,838 1 Physics… 3 ,838 3 ,099 7 39 - Political Science… 1 0,114 6 ,628 3 ,486 - 160

Page 174

Table 2.7: Distribution of Population Age 15 years and Above by Sex and Main Training Acquired and Qualified for Sex Area of Training Total Male Female Intersex KENYA 2 3,954,582 1 1,999,471 1 1,954,403 7 08 Psychology… 1 9,165 6 ,748 1 2,416 1 Public Adminstration-Public Policy… 4 8,386 3 2,193 1 6,193 - Religion… 2 2,944 1 5,292 7 ,652 - Social Work… 4 5,964 1 4,214 3 1,748 2 Sociology… 2 2,869 9 ,612 1 3,257 - Space Sciences-Astronomy… 1 ,014 6 57 3 57 - Statistics (Actuarial Biometry Biostatistics Social Statistics Financial Statistics etc.)… 3 3,038 2 1,732 1 1,306 - Systems Sciences (Computing etc.)… 7 1,864 3 2,139 3 9,723 2 Transportation-Logistics Management… 1 5,497 1 1,627 3 ,870 - Vocational Training (Plant Motor Vehicle Plumbing Wiring Masonary Carpentry and Joinary Refrigeration and Air Conditioning Hair dressing and related Tailoring Commercial Vehicle Drivers etc.)……………………………………………………………………………………………………………………. 2 ,651,216 1 ,595,109 1 ,056,017 9 0 Others… 9 91,910 5 10,815 4 81,059 3 6 None1 ………………………………………………………………………………………………………………… 1 6,681,302 7 ,943,606 8 ,737,213 4 83 DK… 1 73,809 9 8,872 7 4,930 7 Not Stated… 5 3,628 2 9,550 2 4,074 4 1 Includes students 161

Page 175

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KENYA 4 1,235,190 1 9,677,401 2 ,621,158 1 8,927,688 8 ,943 Male 2 0,317,125 9 ,789,958 1 ,478,110 9 ,044,599 4 ,458 Female 2 0,916,821 9 ,886,838 1 ,142,914 9 ,882,589 4 ,480 Intersex 1 ,244 6 05 1 34 5 00 5 MOMBASA 1 ,043,603 4 23,439 1 41,942 4 77,965 2 57 Male 5 23,840 2 52,197 7 6,485 1 95,024 1 34 Female 5 19,747 1 71,233 6 5,453 2 82,938 1 23 CHANGAMWE 1 15,799 5 0,074 1 7,573 4 8,141 1 1 Male 6 0,352 3 0,762 9 ,655 1 9,932 3 Female 5 5,447 1 9,312 7 ,918 2 8,209 8 JOMVU 1 41,623 5 9,279 1 8,120 6 4,198 2 6 Male 7 1,845 3 5,066 1 0,669 2 6,097 1 3 Female 6 9,775 2 4,210 7 ,451 3 8,101 1 3 KISAUNI 2 49,250 1 02,544 3 2,196 1 14,439 7 1 Male 1 24,035 5 9,631 1 6,409 4 7,956 3 9 Female 1 25,212 4 2,911 1 5,786 6 6,483 3 2 LIKONI 2 15,656 8 0,269 3 4,654 1 00,710 2 3 Male 1 09,317 4 9,922 1 8,863 4 0,517 1 5 Female 1 06,336 3 0,347 1 5,789 6 0,192 8 MVITA 1 32,701 4 7,883 1 6,314 6 8,434 7 0 Male 6 3,405 2 7,559 9 ,026 2 6,780 4 0 Female 6 9,294 2 0,323 7 ,288 4 1,653 3 0 NYALI 1 88,574 8 3,390 2 3,085 8 2,043 5 6 Male 9 4,886 4 9,257 1 1,863 3 3,742 2 4 Female 9 3,683 3 4,130 1 1,221 4 8,300 3 2 KWALE 7 28,767 3 33,587 4 4,175 3 50,840 1 65 Male 3 55,194 1 57,818 2 7,397 1 69,892 8 7 Female 3 73,559 1 75,762 1 6,776 1 80,943 7 8 KINANGO 7 7,706 3 7,619 2 ,004 3 8,064 1 9 Male 3 7,031 1 6,428 1 ,283 1 9,312 8 Female 4 0,674 2 1,191 7 21 1 8,751 1 1 LUNGA LUNGA 1 66,539 8 0,573 7 ,754 7 8,202 1 0 Male 8 1,145 3 7,359 4 ,512 3 9,268 6 Female 8 5,393 4 3,213 3 ,242 3 8,934 4 MATUGA 1 66,623 7 3,347 1 1,454 8 1,782 4 0 Male 8 1,795 3 5,188 7 ,529 3 9,055 2 3 Female 8 4,826 3 8,159 3 ,924 4 2,726 1 7 MSAMBWENI 1 50,689 6 7,585 1 3,868 6 9,208 2 8 Male 7 5,482 3 6,046 8 ,509 3 0,910 1 7 Female 7 5,204 3 1,537 5 ,359 3 8,297 1 1 SAMBURU 1 67,210 7 4,463 9 ,095 8 3,584 6 8 Male 7 9,741 3 2,797 5 ,564 4 1,347 3 3 Female 8 7,462 4 1,662 3 ,530 4 2,235 3 5 KILIFI 1 ,240,674 5 34,420 7 7,211 6 28,808 2 35 Male 5 95,251 2 48,163 4 5,327 3 01,654 1 07 Female 6 45,404 2 86,248 3 1,884 3 27,145 1 27 CHONYI 5 3,618 2 4,009 1 ,298 2 8,311 - Male 2 5,089 9 ,781 8 35 1 4,473 - Female 2 8,528 1 4,228 4 63 1 3,837 - GANZE 1 21,762 5 2,033 4 ,072 6 5,611 4 6 Male 5 5,805 2 0,235 2 ,479 3 3,073 1 8 Female 6 5,954 3 1,797 1 ,593 3 2,536 2 8 KALOLENI 1 65,266 7 1,836 8 ,762 8 4,608 6 0 Male 7 8,232 3 1,877 5 ,417 4 0,912 2 6 Female 8 7,029 3 9,958 3 ,345 4 3,693 3 3 KAUMA 1 9,582 7 ,548 1 ,286 1 0,748 - Male 9 ,464 3 ,183 8 09 5 ,472 - Female 1 0,118 4 ,365 4 77 5 ,276 - 162

Page 176

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KILIFI NORTH 1 53,360 6 8,410 9 ,406 7 5,535 9 Male 7 3,936 3 2,906 5 ,257 3 5,769 4 Female 7 9,422 3 5,504 4 ,149 3 9,764 5 KILIFI SOUTH 1 77,283 7 3,349 1 7,762 8 6,161 1 1 Male 8 6,672 3 7,654 1 0,096 3 8,916 6 Female 9 0,610 3 5,694 7 ,666 4 7,245 5 MAGARINI 1 62,132 7 0,258 5 ,749 8 6,105 2 0 Male 7 8,199 3 1,576 3 ,810 4 2,800 1 3 Female 8 3,933 3 8,682 1 ,939 4 3,305 7 MALINDI 2 82,704 1 22,508 2 0,859 1 39,255 8 2 Male 1 37,264 6 0,309 1 1,646 6 5,272 3 7 Female 1 45,433 6 2,193 9 ,213 7 3,982 4 5 RABAI 1 04,967 4 4,469 8 ,017 5 2,474 7 Male 5 0,590 2 0,642 4 ,978 2 4,967 3 Female 5 4,377 2 3,827 3 ,039 2 7,507 4 TANA RIVER 2 61,570 1 18,026 2 5,851 1 17,572 1 21 Male 1 30,361 5 9,890 1 5,291 5 5,124 5 6 Female 1 31,207 5 8,136 1 0,559 6 2,447 6 5 TANA DELTA 9 1,908 4 3,952 6 ,265 4 1,648 4 3 Male 4 5,952 2 2,255 3 ,746 1 9,936 1 5 Female 4 5,956 2 1,697 2 ,519 2 1,712 2 8 TANA NORTH 9 6,863 3 9,880 1 4,093 4 2,862 2 8 Male 4 8,884 2 0,767 8 ,130 1 9,970 1 7 Female 4 7,977 1 9,113 5 ,962 2 2,891 1 1 TANA RIVER 7 2,799 3 4,194 5 ,493 3 3,062 5 0 Male 3 5,525 1 6,868 3 ,415 1 5,218 2 4 Female 3 7,274 1 7,326 2 ,078 1 7,844 2 6 LAMU 1 23,234 6 0,022 7 ,228 5 5,948 3 6 Male 6 5,099 3 4,459 4 ,824 2 5,797 1 9 Female 5 8,135 2 5,563 2 ,404 3 0,151 1 7 LAMU EAST 1 9,425 9 ,004 1 ,066 9 ,355 - Male 1 0,165 5 ,447 7 47 3 ,971 - Female 9 ,260 3 ,557 3 19 5 ,384 - LAMU WEST 1 03,812 5 1,474 5 ,736 4 6,566 3 6 Male 5 4,934 2 9,343 3 ,766 2 1,806 1 9 Female 4 8,875 2 2,131 1 ,970 2 4,757 1 7 TAITA/TAVETA 2 97,180 1 60,509 1 6,971 1 19,633 6 7 Male 1 50,452 8 2,561 1 0,802 5 7,056 3 3 Female 1 46,728 7 7,948 6 ,169 6 2,577 3 4 MWATATE 7 2,491 4 0,425 2 ,958 2 9,100 8 Male 3 6,854 2 0,704 2 ,066 1 4,079 5 Female 3 5,635 1 9,720 8 92 1 5,020 3 TAITA 4 9,998 2 9,217 1 ,834 1 8,945 2 Male 2 5,311 1 4,651 1 ,312 9 ,348 - Female 2 4,687 1 4,566 5 22 9 ,597 2 TAVETA 7 8,376 4 2,894 3 ,343 3 2,118 2 1 Male 4 0,318 2 2,692 2 ,100 1 5,518 8 Female 3 8,058 2 0,202 1 ,243 1 6,600 1 3 VOI 9 6,321 4 9,214 7 ,751 3 9,320 3 6 Male 4 7,969 2 5,365 4 ,575 1 8,009 2 0 Female 4 8,348 2 3,847 3 ,174 2 1,311 1 6 GARISSA 7 23,880 2 53,293 1 72,996 2 97,439 1 52 Male 3 97,437 1 42,610 1 01,275 1 53,459 9 3 Female 3 26,443 1 10,683 7 1,721 1 43,980 5 9 163

Page 177

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated BALAMBALA 2 9,651 1 2,927 7 ,840 8 ,884 - Male 1 8,691 7 ,885 5 ,553 5 ,253 - Female 1 0,960 5 ,042 2 ,287 3 ,631 - DADAAB 1 60,055 4 7,682 4 9,835 6 2,481 5 7 Male 8 5,655 2 6,246 2 7,858 3 1,510 4 1 Female 7 4,400 2 1,436 2 1,977 3 0,971 1 6 FAFI 1 15,261 3 4,210 3 2,937 4 8,091 2 3 Male 6 2,614 1 9,323 1 9,321 2 3,956 1 4 Female 5 2,647 1 4,887 1 3,616 2 4,135 9 GARISSA 1 38,759 2 7,604 3 3,046 7 8,060 4 9 Male 7 0,032 1 5,879 1 7,802 3 6,327 2 4 Female 6 8,727 1 1,725 1 5,244 4 1,733 2 5 HULUGHO 1 15,663 6 5,013 1 5,779 3 4,864 7 Male 6 8,479 3 7,392 1 0,341 2 0,742 4 Female 4 7,184 2 7,621 5 ,438 1 4,122 3 IJARA 1 21,821 4 3,684 2 5,935 5 2,186 1 6 Male 7 0,387 2 4,571 1 6,130 2 9,676 1 0 Female 5 1,434 1 9,113 9 ,805 2 2,510 6 LAGDERA 4 2,670 2 2,173 7 ,624 1 2,873 - Male 2 1,579 1 1,314 4 ,270 5 ,995 - Female 2 1,091 1 0,859 3 ,354 6 ,878 - WAJIR Total 6 52,575 2 90,686 1 16,074 2 45,753 Male Male 3 49,898 1 54,609 6 8,413 1 26,837 Female Female 3 02,633 1 36,053 4 7,651 1 18,906 BUNA Buna 4 0,518 1 9,410 7 ,378 1 3,730 Male Male 2 2,155 1 0,610 4 ,663 6 ,882 Female Female 1 8,361 8 ,799 2 ,714 6 ,848 ELDAS Eldas 7 5,215 3 3,409 1 4,244 2 7,562 Male Male 3 8,753 1 6,951 7 ,991 1 3,811 Female Female 3 6,456 1 6,456 6 ,251 1 3,749 HABASWEIN Habaswein 1 45,308 7 7,028 1 7,054 5 1,204 Male Male 7 8,906 4 0,835 1 0,625 2 7,436 Female Female 6 6,387 3 6,179 6 ,428 2 3,768 TARBAJ Tarbaj 4 5,780 2 0,877 8 ,174 1 6,729 Male Male 2 2,148 1 0,042 4 ,359 7 ,747 Female Female 2 3,627 1 0,835 3 ,813 8 ,979 WAJIR EAST Wajir East 9 3,906 2 0,376 2 5,577 4 7,926 Male Male 5 0,412 1 1,731 1 4,155 2 4,504 Female Female 4 3,492 8 ,644 1 1,421 2 3,422 WAJIR NORTH Wajir North 5 0,415 2 3,335 8 ,256 1 8,824 Male Male 2 6,303 1 2,043 4 ,958 9 ,302 Female Female 2 4,106 1 1,290 3 ,296 9 ,520 WAJIR SOUTH Wajir South 9 9,289 5 0,060 1 8,246 3 0,970 Male Male 5 5,566 2 7,827 1 0,974 1 6,758 Female Female 4 3,721 2 2,232 7 ,272 1 4,211 WAJIR WEST Wajir West 1 02,144 4 6,191 1 7,145 3 8,808 - Male Male 5 5,655 2 4,570 1 0,688 2 0,397 - Female Female 4 6,483 2 1,618 6 ,456 1 8,409 - MANDERA 7 01,187 3 03,296 9 3,806 3 03,960 1 25 Male 3 56,867 1 53,988 5 6,508 1 46,303 6 8 Female 3 44,294 1 49,296 3 7,293 1 57,648 5 7 BANISA 7 7,147 3 5,561 7 ,326 3 4,256 4 Male 3 8,240 1 7,087 4 ,658 1 6,493 2 Female 3 8,905 1 8,472 2 ,668 1 7,763 2 KOTULO 1 21,224 6 6,452 1 4,523 4 0,247 2 Male 6 3,508 3 4,226 8 ,718 2 0,563 1 Female 5 7,710 3 2,224 5 ,803 1 9,682 1 164

Page 178

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated LAFEY 5 7,580 3 2,033 4 ,133 2 1,414 - Male 2 9,230 1 5,695 2 ,791 1 0,744 - Female 2 8,348 1 6,337 1 ,342 1 0,669 - MANDERA CENTRAL 6 8,008 3 7,023 9 ,886 2 1,098 1 Male 3 3,482 1 8,002 5 ,524 9 ,955 1 Female 3 4,522 1 9,020 4 ,360 1 1,142 - MANDERA EAST 1 26,900 3 9,135 1 8,401 6 9,246 1 18 Male 5 8,964 1 8,133 1 0,599 3 0,168 6 4 Female 6 7,932 2 1,000 7 ,802 3 9,076 5 4 MANDERA NORTH 1 32,370 3 8,640 2 3,201 7 0,529 - Male 6 9,376 2 0,756 1 3,901 3 4,719 - Female 6 2,990 1 7,883 9 ,300 3 5,807 - MANDERA WEST 1 17,958 5 4,452 1 6,336 4 7,170 - Male 6 4,067 3 0,089 1 0,317 2 3,661 - Female 5 3,887 2 4,360 6 ,018 2 3,509 - MARSABIT 3 78,184 1 78,797 4 7,232 1 51,967 1 88 Male 1 99,157 9 8,188 2 9,565 7 1,308 9 6 Female 1 79,010 8 0,604 1 7,663 8 0,651 9 2 LOINYANGALANI 2 8,660 1 6,306 2 ,499 9 ,855 - Male 1 3,886 8 ,193 1 ,287 4 ,406 - Female 1 4,772 8 ,113 1 ,211 5 ,448 - MARSABIT CENTRAL 6 6,631 2 1,261 1 0,122 3 5,248 - Male 3 4,372 1 2,002 6 ,271 1 6,099 - Female 3 2,248 9 ,255 3 ,849 1 9,144 - MARSABIT NORTH 4 2,556 2 8,379 2 ,598 1 1,579 - Male 2 3,210 1 5,985 1 ,686 5 ,539 - Female 1 9,345 1 2,394 9 12 6 ,039 - MARSABIT SOUTH 5 4,880 3 5,341 3 ,565 1 5,964 1 0 Male 2 7,822 1 8,339 2 ,124 7 ,354 5 Female 2 7,058 1 7,002 1 ,441 8 ,610 5 MOYALE 8 9,277 2 1,919 1 7,122 5 0,227 9 Male 4 6,216 1 2,051 1 0,628 2 3,531 6 Female 4 3,060 9 ,867 6 ,494 2 6,696 3 NORTH HORR 5 8,787 4 1,162 5 ,682 1 1,780 1 63 Male 3 3,891 2 3,941 3 ,991 5 ,877 8 2 Female 2 4,894 1 7,221 1 ,690 5 ,902 8 1 SOLOLO 3 7,393 1 4,429 5 ,644 1 7,314 6 Male 1 9,760 7 ,677 3 ,578 8 ,502 3 Female 1 7,633 6 ,752 2 ,066 8 ,812 3 ISIOLO 2 27,379 1 01,678 2 7,529 9 8,134 3 8 Male 1 19,065 5 5,731 1 7,538 4 5,774 2 2 Female 1 08,311 4 5,945 9 ,990 5 2,360 1 6 GARBATULLA 8 5,248 3 7,058 1 2,640 3 5,538 1 2 Male 4 7,217 2 1,003 8 ,713 1 7,493 8 Female 3 8,030 1 6,055 3 ,926 1 8,045 4 ISIOLO 1 03,189 4 3,569 1 1,832 4 7,762 2 6 Male 5 1,405 2 3,361 6 ,763 2 1,267 1 4 Female 5 1,784 2 0,208 5 ,069 2 6,495 1 2 MERTI 3 8,942 2 1,051 3 ,057 1 4,834 - Male 2 0,443 1 1,367 2 ,062 7 ,014 - Female 1 8,497 9 ,682 9 95 7 ,820 - MERU 1 ,365,848 7 00,387 7 6,275 5 88,805 3 81 Male 6 75,792 3 49,626 4 7,085 2 78,879 2 02 Female 6 90,020 3 50,743 2 9,189 3 09,909 1 79 165

Page 179

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated BUURI EAST 6 8,799 4 0,232 2 ,844 2 5,689 3 4 Male 3 4,234 1 9,921 1 ,842 1 2,452 1 9 Female 3 4,565 2 0,311 1 ,002 1 3,237 1 5 BUURI WEST 7 1,992 4 0,991 3 ,680 2 7,313 8 Male 3 6,024 2 0,960 2 ,173 1 2,888 3 Female 3 5,966 2 0,030 1 ,507 1 4,424 5 IGEMBE CENTRAL 1 92,892 8 4,304 1 5,382 9 3,165 4 1 Male 9 6,149 4 2,621 9 ,745 4 3,762 2 1 Female 9 6,739 4 1,681 5 ,637 4 9,401 2 0 IGEMBE NORTH 1 47,628 6 1,179 1 1,773 7 4,629 4 7 Male 7 2,456 3 0,121 7 ,357 3 4,952 2 6 Female 7 5,168 3 1,058 4 ,415 3 9,674 2 1 IGEMBE SOUTH 1 41,314 6 6,568 1 1,140 6 3,549 5 7 Male 6 9,990 3 4,297 6 ,698 2 8,964 3 1 Female 7 1,316 3 2,267 4 ,442 3 4,581 2 6 IMENTI NORTH 1 55,806 8 7,612 9 ,786 5 8,355 5 3 Male 7 6,993 4 4,644 5 ,638 2 6,677 3 4 Female 7 8,810 4 2,965 4 ,148 3 1,678 1 9 IMENTI SOUTH 1 85,547 1 10,371 6 ,214 6 8,945 1 7 Male 9 2,634 5 5,519 3 ,774 3 3,333 8 Female 9 2,908 5 4,850 2 ,440 3 5,609 9 MERU CENTRAL 1 20,380 7 2,241 3 ,270 4 4,814 5 5 Male 6 0,118 3 6,038 2 ,118 2 1,935 2 7 Female 6 0,259 3 6,200 1 ,152 2 2,879 2 8 TIGANIA CENTRAL 9 2,213 4 5,780 3 ,356 4 3,074 3 Male 4 5,461 2 2,495 2 ,256 2 0,708 2 Female 4 6,752 2 3,285 1 ,100 2 2,366 1 TIGANIA EAST 6 3,971 2 8,690 3 ,324 3 1,905 5 2 Male 3 0,997 1 3,830 1 ,979 1 5,162 2 6 Female 3 2,971 1 4,859 1 ,345 1 6,741 2 6 TIGANIA WEST 1 24,581 6 1,837 5 ,444 5 7,286 1 4 Male 6 0,129 2 8,654 3 ,453 2 8,017 5 Female 6 4,448 3 3,181 1 ,991 2 9,267 9 TIGANIA EAST 2 85 2 11 4 7 0 - Male 2 15 1 93 - 2 2 - Female 7 0 1 8 4 4 8 - MT. KENYA FOREST 4 40 3 71 5 8 1 1 - Male 3 92 3 33 5 2 7 - Female 4 8 3 8 6 4 - THARAKA-NITHI 3 51,034 1 91,231 1 3,707 1 46,026 7 0 Male 1 72,478 9 2,102 8 ,543 7 1,796 3 7 Female 1 78,549 9 9,124 5 ,164 7 4,228 3 3 IGAMBANG’OMBE 4 6,981 2 5,557 1 ,284 2 0,125 1 5 Male 2 3,183 1 2,234 8 79 1 0,061 9 Female 2 3,797 1 3,322 4 05 1 0,064 6 MAARA 1 04,117 6 1,493 3 ,973 3 8,638 1 3 Male 5 2,259 3 0,732 2 ,494 1 9,027 6 Female 5 1,858 3 0,761 1 ,479 1 9,611 7 MERU SOUTH 8 1,672 4 6,083 4 ,043 3 1,525 2 1 Male 4 0,253 2 2,383 2 ,604 1 5,256 1 0 Female 4 1,417 2 3,699 1 ,439 1 6,268 1 1 THARAKA NORTH 5 1,464 2 5,273 1 ,745 2 4,430 1 6 Male 2 4,878 1 1,808 1 ,003 1 2,058 9 Female 2 6,584 1 3,464 7 42 1 2,371 7 THARAKA SOUTH 6 6,646 3 2,745 2 ,660 3 1,236 5 Male 3 1,835 1 4,885 1 ,563 1 5,384 3 Female 3 4,809 1 7,858 1 ,097 1 5,852 2 MT. KENYA FOREST 1 54 8 0 2 7 2 - Male 7 0 6 0 - 1 0 - Female 8 4 2 0 2 6 2 - 166

Page 180

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated EMBU 5 43,425 3 17,105 1 9,986 2 06,286 4 8 Male 2 70,430 1 57,937 1 3,015 9 9,456 2 2 Female 2 72,976 1 59,153 6 ,971 1 06,826 2 6 EMBU EAST 1 17,073 7 0,906 4 ,533 4 1,631 3 Male 5 8,277 3 4,978 3 ,054 2 0,244 1 Female 5 8,795 3 5,927 1 ,479 2 1,387 2 EMBU NORTH 7 2,125 4 3,659 2 ,680 2 5,782 4 Male 3 5,878 2 1,419 1 ,727 1 2,731 1 Female 3 6,244 2 2,237 9 53 1 3,051 3 EMBU WEST 1 12,061 6 5,902 5 ,528 4 0,622 9 Male 5 4,883 3 3,330 3 ,111 1 8,437 5 Female 5 7,169 3 2,564 2 ,417 2 2,184 4 MBEERE SOUTH 1 45,688 8 4,431 4 ,164 5 7,066 2 7 Male 7 4,120 4 3,225 2 ,922 2 7,959 1 4 Female 7 1,563 4 1,203 1 ,242 2 9,105 1 3 MBEERE NORTH 9 6,457 5 2,188 3 ,081 4 1,183 5 Male 4 7,254 2 4,967 2 ,201 2 0,085 1 Female 4 9,202 2 7,221 8 80 2 1,097 4 MT. KENYA FOREST 2 1 1 9 - 2 - Male 1 8 1 8 - - - Female 3 1 - 2 - KITUI 1 ,004,160 4 86,486 3 1,902 4 85,625 1 47 Male 4 81,638 2 18,838 1 9,558 2 43,184 5 8 Female 5 22,497 2 67,636 1 2,342 2 42,430 8 9 IKUTHA 7 3,789 3 2,474 1 ,925 3 9,387 3 Male 3 5,397 1 4,178 1 ,253 1 9,964 2 Female 3 8,392 1 8,296 6 72 1 9,423 1 KATULANI 4 2,501 2 2,991 1 ,254 1 8,256 - Male 2 0,855 1 0,641 8 73 9 ,341 - Female 2 1,645 1 2,349 3 81 8 ,915 - KISASI 4 1,232 2 1,802 7 65 1 8,658 7 Male 2 0,130 1 0,007 5 62 9 ,560 1 Female 2 1,102 1 1,795 2 03 9 ,098 6 KITUI CENTRAL 9 2,891 4 7,795 5 ,441 3 9,647 8 Male 4 5,116 2 2,914 2 ,904 1 9,294 4 Female 4 7,772 2 4,879 2 ,536 2 0,353 4 KITUI WEST 6 3,091 3 2,596 1 ,925 2 8,570 - Male 3 0,051 1 4,353 1 ,328 1 4,370 - Female 3 3,039 1 8,243 5 97 1 4,199 - KYUSO 6 6,959 3 1,455 1 ,570 3 3,925 9 Male 3 1,803 1 3,875 9 48 1 6,978 2 Female 3 5,155 1 7,580 6 22 1 6,946 7 LOWER YATTA 5 6,643 2 7,676 2 ,022 2 6,939 6 Male 2 8,271 1 3,284 1 ,301 1 3,685 1 Female 2 8,372 1 4,392 7 21 1 3,254 5 MATINYANI 4 2,736 2 2,967 1 ,224 1 8,545 - Male 2 0,853 1 0,562 8 27 9 ,464 - Female 2 1,882 1 2,404 3 97 9 ,081 - MIGWANI 7 0,208 3 6,238 1 ,438 3 2,509 2 3 Male 3 2,995 1 5,781 8 76 1 6,326 1 2 Female 3 7,210 2 0,456 5 62 1 6,181 1 1 MUMONI 2 5,778 1 1,542 6 44 1 3,591 1 Male 1 1,945 4 ,916 4 26 6 ,602 1 Female 1 3,833 6 ,626 2 18 6 ,989 - MUTITU 4 8,615 2 1,355 1 ,195 2 6,019 4 6 Male 2 2,953 9 ,266 7 45 1 2,923 1 9 Female 2 5,660 1 2,089 4 50 1 3,094 2 7 167

Page 181

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated MUTITU NORTH 1 8,901 9 ,290 4 72 9 ,134 5 Male 9 ,150 4 ,219 2 62 4 ,666 3 Female 9 ,750 5 ,071 2 10 4 ,467 2 MUTOMO 1 00,046 4 6,260 2 ,697 5 1,083 6 Male 4 7,946 2 0,656 1 ,679 2 5,607 4 Female 5 2,095 2 5,602 1 ,017 2 5,474 2 MWINGI CENTRAL 9 5,365 4 5,288 3 ,536 4 6,525 1 6 Male 4 5,511 2 0,366 2 ,095 2 3,045 5 Female 4 9,854 2 4,922 1 ,441 2 3,480 1 1 MWINGI EAST 7 4,692 3 3,083 2 ,489 3 9,103 1 7 Male 3 5,082 1 4,068 1 ,468 1 9,542 4 Female 3 9,606 1 9,012 1 ,021 1 9,560 1 3 NZAMBANI 4 1,618 2 0,793 1 ,939 1 8,886 - Male 2 0,297 9 ,532 1 ,262 9 ,503 - Female 2 1,319 1 1,259 6 77 9 ,383 - THAGICU 1 3,260 6 ,230 3 11 6 ,719 - Male 6 ,214 2 ,713 1 68 3 ,333 - Female 7 ,045 3 ,517 1 43 3 ,385 - TSEIKURU 3 5,835 1 6,651 1 ,055 1 8,129 - Male 1 7,069 7 ,507 5 81 8 ,981 - Female 1 8,766 9 ,144 4 74 9 ,148 - MACHAKOS 1 ,267,555 6 70,368 7 6,771 5 20,217 1 99 Male 6 31,785 3 33,446 4 8,080 2 50,155 1 04 Female 6 35,743 3 36,909 2 8,688 2 70,051 9 5 ATHI RIVER 2 81,352 1 39,658 2 9,518 1 12,053 1 23 Male 1 43,220 8 0,001 1 5,587 4 7,568 6 4 Female 1 38,131 5 9,657 1 3,930 6 4,485 5 9 KALAMA 4 9,428 2 5,997 2 ,720 2 0,710 1 Male 2 4,196 1 1,956 1 ,965 1 0,274 1 Female 2 5,227 1 4,039 7 54 1 0,434 - KANGUNDO 8 8,696 5 0,689 3 ,882 3 4,123 2 Male 4 3,984 2 3,814 2 ,895 1 7,274 1 Female 4 4,711 2 6,874 9 87 1 6,849 1 KATHIANI 1 00,921 5 4,473 4 ,116 4 2,317 1 5 Male 4 9,330 2 5,059 2 ,921 2 1,343 7 Female 5 1,587 2 9,412 1 ,195 2 0,972 8 MACHAKOS 1 51,412 8 4,698 1 0,200 5 6,499 1 5 Male 7 5,452 4 2,464 6 ,387 2 6,592 9 Female 7 5,954 4 2,233 3 ,812 2 9,903 6 MASINGA 1 32,186 6 7,260 5 ,363 5 9,547 1 6 Male 6 5,232 3 1,128 3 ,925 3 0,170 9 Female 6 6,952 3 6,131 1 ,438 2 9,376 7 MATUNGULU 1 44,730 7 6,589 7 ,936 6 0,197 8 Male 7 2,712 3 8,166 5 ,450 2 9,094 2 Female 7 2,014 3 8,421 2 ,486 3 1,101 6 MWALA 1 64,893 9 0,428 6 ,823 6 7,629 1 3 Male 8 1,782 4 2,317 4 ,791 3 4,665 9 Female 8 3,108 4 8,108 2 ,032 3 2,964 4 YATTA 1 53,937 8 0,576 6 ,213 6 7,142 6 Male 7 5,877 3 8,541 4 ,159 3 3,175 2 Female 7 8,059 4 2,034 2 ,054 3 3,967 4 MAKUENI 8 80,923 4 56,299 3 2,008 3 92,458 1 58 Male 4 33,423 2 15,558 2 0,998 1 96,799 6 8 Female 4 47,482 2 40,733 1 1,010 1 95,649 9 0 KATHONZWENI 7 1,750 3 7,060 1 ,769 3 2,916 5 Male 3 5,235 1 7,172 1 ,326 1 6,735 2 Female 3 6,512 1 9,886 4 43 1 6,180 3 168

Page 182

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KIBWEZI 1 74,307 8 1,589 8 ,563 8 4,133 2 2 Male 8 6,080 3 8,613 5 ,380 4 2,078 9 Female 8 8,223 4 2,975 3 ,183 4 2,052 1 3 KILUNGU 5 4,838 2 7,833 1 ,687 2 5,303 1 5 Male 2 5,930 1 2,311 1 ,168 1 2,444 7 Female 2 8,907 1 5,521 5 19 1 2,859 8 MAKINDU 7 4,860 3 5,641 4 ,626 3 4,564 2 9 Male 3 6,636 1 6,828 2 ,818 1 6,978 1 2 Female 3 8,224 1 8,813 1 ,808 1 7,586 1 7 MAKUENI 1 16,457 6 5,743 3 ,808 4 6,901 5 Male 5 7,980 3 2,169 2 ,348 2 3,461 2 Female 5 8,475 3 3,574 1 ,460 2 3,438 3 MBOONI EAST 8 8,212 4 8,048 2 ,062 3 8,099 3 Male 4 3,242 2 2,170 1 ,429 1 9,642 1 Female 4 4,967 2 5,876 6 33 1 8,456 2 MBOONI WEST 9 2,219 4 8,608 2 ,389 4 1,214 8 Male 4 4,238 2 1,735 1 ,706 2 0,794 3 Female 4 7,980 2 6,872 6 83 2 0,420 5 MUKAA 9 5,967 5 2,510 3 ,689 3 9,734 3 4 Male 4 8,488 2 6,038 2 ,664 1 9,773 1 3 Female 4 7,479 2 6,472 1 ,025 1 9,961 2 1 NZAUI 1 12,313 5 9,267 3 ,415 4 9,594 3 7 Male 5 5,594 2 8,522 2 ,159 2 4,894 1 9 Female 5 6,715 3 0,744 1 ,256 2 4,697 1 8 NYANDARUA 5 66,158 3 18,818 9 ,880 2 37,397 6 3 Male 2 78,437 1 53,553 6 ,232 1 18,623 2 9 Female 2 87,704 1 65,256 3 ,648 1 18,767 3 3 KINANGOP 9 8,683 5 4,170 2 ,170 4 2,328 1 5 Male 4 8,254 2 5,971 1 ,370 2 0,905 8 Female 5 0,425 2 8,196 8 00 2 1,422 7 NYANDARUA SOUTH 8 3,036 4 6,315 1 ,416 3 5,301 4 Male 4 0,716 2 2,212 8 35 1 7,667 2 Female 4 2,317 2 4,102 5 81 1 7,632 2 MIRANGINE 5 9,612 3 3,364 9 88 2 5,254 6 Male 2 9,594 1 6,313 6 62 1 2,617 2 Female 3 0,017 1 7,051 3 26 1 2,636 4 KIPIPIRI 8 3,760 4 6,722 9 65 3 6,059 1 4 Male 4 1,057 2 2,327 6 49 1 8,075 6 Female 4 2,701 2 4,393 3 16 1 7,984 8 NYANDARUA CENTRAL 6 6,255 3 8,099 1 ,196 2 6,951 9 Male 3 2,787 1 8,537 7 62 1 3,483 5 Female 3 3,467 1 9,562 4 34 1 3,467 4 NYANDARUA WEST 8 6,896 4 9,710 1 ,728 3 5,454 4 Male 4 3,076 2 4,233 1 ,079 1 7,763 1 Female 4 3,816 2 5,475 6 49 1 7,689 3 NYANDARUA NORTH 8 7,902 5 0,426 1 ,416 3 6,049 1 1 Male 4 2,943 2 3,950 8 75 1 8,113 5 Female 4 4,957 2 6,475 5 41 1 7,936 5 ABERDARE NAT. PARK 1 4 1 2 1 1 - Male 1 0 1 0 - - - Female 4 2 1 1 - NYERI 6 79,998 4 04,432 2 4,702 2 50,817 4 7 Male 3 33,275 1 95,684 1 4,979 1 22,583 2 9 Female 3 46,697 2 08,731 9 ,720 1 28,228 1 8 TETU 7 2,884 4 4,730 2 ,106 2 6,046 2 Male 3 5,534 2 1,049 1 ,496 1 2,988 1 Female 3 7,348 2 3,679 6 10 1 3,058 1 169

Page 183

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KIENI EAST 9 8,194 5 8,050 3 ,554 3 6,582 8 Male 4 9,094 2 9,368 2 ,056 1 7,664 6 Female 4 9,096 2 8,681 1 ,496 1 8,917 2 KIENI WEST 7 9,260 4 6,687 2 ,175 3 0,393 5 Male 3 9,204 2 2,621 1 ,356 1 5,224 3 Female 4 0,051 2 4,061 8 19 1 5,169 2 MATHIRA EAST 8 9,463 5 3,243 3 ,080 3 3,137 3 Male 4 3,194 2 5,414 1 ,732 1 6,047 1 Female 4 6,266 2 7,827 1 ,347 1 7,090 2 MATHIRA WEST 5 4,372 3 3,152 1 ,944 1 9,269 7 Male 2 6,669 1 5,648 1 ,322 9 ,696 3 Female 2 7,700 1 7,501 6 22 9 ,573 4 NYERI SOUTH 8 2,350 5 0,121 2 ,095 3 0,132 2 Male 3 9,661 2 3,519 1 ,360 1 4,781 1 Female 4 2,688 2 6,602 7 35 1 5,350 1 MUKURWE-INI 8 0,638 4 9,231 1 ,905 2 9,497 5 Male 3 9,699 2 3,327 1 ,290 1 5,079 3 Female 4 0,933 2 5,900 6 15 1 4,416 2 NYERI CENTRAL 1 22,567 6 9,010 7 ,837 4 5,705 1 5 Male 6 0,038 3 4,580 4 ,365 2 1,082 1 1 Female 6 2,527 3 4,430 3 ,472 2 4,621 4 MT. KENYA FOREST 1 74 1 29 2 4 3 - Male 1 15 9 5 1 1 9 - Female 5 9 3 4 1 2 4 - ABERDARE FOREST 9 6 7 9 4 1 3 - Male 6 7 6 3 1 3 - Female 2 9 1 6 3 1 0 - KIRINYAGA 5 48,367 3 37,519 1 7,941 1 92,868 3 9 Male 2 70,128 1 66,146 1 0,621 9 3,339 2 2 Female 2 78,213 1 71,352 7 ,320 9 9,524 1 7 KIRINYAGA CENTRAL 1 10,255 6 9,223 3 ,240 3 7,789 3 Male 5 3,667 3 3,480 1 ,906 1 8,279 2 Female 5 6,584 3 5,740 1 ,334 1 9,509 1 KIRINYAGA EAST 1 23,147 7 8,833 3 ,309 4 0,984 2 1 Male 6 0,901 3 8,575 2 ,167 2 0,147 1 2 Female 6 2,238 4 0,252 1 ,142 2 0,835 9 KIRINYAGA WEST 1 03,301 6 4,144 2 ,377 3 6,777 3 Male 5 0,359 3 1,070 1 ,391 1 7,896 2 Female 5 2,938 3 3,071 9 86 1 8,880 1 MWEA EAST 1 17,240 7 0,182 4 ,974 4 2,074 1 0 Male 5 8,176 3 5,564 2 ,771 1 9,835 6 Female 5 9,058 3 4,613 2 ,203 2 2,238 4 MWEA WEST 9 4,392 5 5,112 4 ,036 3 5,242 2 Male 4 7,001 2 7,434 2 ,385 1 7,182 - Female 4 7,387 2 7,674 1 ,651 1 8,060 2 MT. KENYA FOREST 3 2 2 5 5 2 - Male 2 4 2 3 1 - - Female 8 2 4 2 - MURANG’A 9 42,756 5 49,832 3 3,957 3 58,831 1 36 Male 4 65,942 2 67,298 2 2,430 1 76,146 6 8 Female 4 76,786 2 82,518 1 1,526 1 82,674 6 8 MURANG’A EAST 9 6,939 5 6,738 4 ,352 3 5,843 6 Male 4 7,476 2 7,696 2 ,642 1 7,136 2 Female 4 9,462 2 9,042 1 ,710 1 8,706 4 KANGEMA 7 2,457 4 4,997 1 ,774 2 5,686 - Male 3 5,526 2 1,444 1 ,197 1 2,885 - Female 3 6,928 2 3,551 5 77 1 2,800 - 170

Page 184

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated MATHIOYA 8 3,435 5 0,507 2 ,223 3 0,691 1 4 Male 4 0,733 2 3,945 1 ,507 1 5,275 6 Female 4 2,701 2 6,561 7 16 1 5,416 8 KAHURO 7 9,917 4 9,122 1 ,608 2 9,179 8 Male 3 9,127 2 3,235 1 ,112 1 4,775 5 Female 4 0,785 2 5,885 4 96 1 4,401 3 MURANG’A SOUTH 1 63,919 9 0,787 7 ,579 6 5,526 2 7 Male 8 1,203 4 4,521 4 ,917 3 1,751 1 4 Female 8 2,711 4 6,263 2 ,662 3 3,773 1 3 GATANGA 1 67,348 9 4,309 7 ,384 6 5,627 2 8 Male 8 3,964 4 7,236 4 ,836 3 1,878 1 4 Female 8 3,381 4 7,071 2 ,548 3 3,748 1 4 KIGUMO 1 22,565 7 2,848 3 ,167 4 6,525 2 5 Male 6 0,729 3 5,356 2 ,197 2 3,163 1 3 Female 6 1,833 3 7,491 9 69 2 3,361 1 2 KANDARA 1 56,135 9 0,492 5 ,870 5 9,745 2 8 Male 7 7,154 4 3,837 4 ,022 2 9,281 1 4 Female 7 8,974 4 6,650 1 ,848 3 0,462 1 4 ABERDARE FOREST 4 1 3 2 - 9 - Male 3 0 2 8 - 2 - Female 1 1 4 - 7 - KIAMBU 2 ,125,316 1 ,116,365 1 65,846 8 42,577 5 28 Male 1 ,038,886 5 78,378 8 9,806 3 70,435 2 67 Female 1 ,086,316 5 37,923 7 6,022 4 72,110 2 61 GATUNDU NORTH 9 8,229 5 4,656 5 ,390 3 8,165 1 8 Male 4 8,279 2 6,546 3 ,554 1 8,172 7 Female 4 9,948 2 8,108 1 ,836 1 9,993 1 1 GATUNDU SOUTH 1 09,564 6 3,031 5 ,462 4 1,029 4 2 Male 5 4,098 3 0,568 3 ,609 1 9,903 1 8 Female 5 5,462 3 2,461 1 ,853 2 1,124 2 4 GITHUNGURI 1 48,200 8 3,464 8 ,163 5 6,554 1 9 Male 7 3,432 4 1,760 5 ,284 2 6,378 1 0 Female 7 4,760 4 1,700 2 ,878 3 0,173 9 JUJA 2 63,538 1 29,014 2 3,949 1 10,503 7 2 Male 1 29,633 6 9,215 1 2,383 4 7,998 3 7 Female 1 33,884 5 9,789 1 1,562 6 2,498 3 5 KABETE 1 76,195 9 3,682 1 4,276 6 8,188 4 9 Male 8 5,860 4 8,772 7 ,698 2 9,369 2 1 Female 9 0,321 4 4,902 6 ,575 3 8,816 2 8 KIAMBAA 2 07,423 1 06,360 1 9,542 8 1,441 8 0 Male 1 01,182 5 6,892 1 0,639 3 3,610 4 1 Female 1 06,231 4 9,465 8 ,900 4 7,827 3 9 KIAMBU 1 27,700 6 8,954 1 0,084 4 8,601 6 1 Male 6 0,381 3 4,819 4 ,905 2 0,625 3 2 Female 6 7,306 3 4,125 5 ,178 2 7,974 2 9 KIKUYU 1 64,733 8 7,543 1 3,243 6 3,931 1 6 Male 7 9,460 4 4,045 7 ,500 2 7,908 7 Female 8 5,269 4 3,495 5 ,742 3 6,023 9 LARI 1 19,841 6 7,954 4 ,574 4 7,305 8 Male 5 9,371 3 3,413 2 ,974 2 2,981 3 Female 6 0,469 3 4,541 1 ,600 2 4,323 5 LIMURU 1 40,152 7 4,553 9 ,335 5 6,242 2 2 Male 7 0,083 3 8,873 5 ,469 2 5,727 1 4 Female 7 0,069 3 5,680 3 ,866 3 0,515 8 RUIRU 3 23,870 1 64,660 3 0,851 1 28,281 7 8 Male 1 56,826 8 7,894 1 5,070 5 3,819 4 3 Female 1 67,027 7 6,754 1 5,778 7 4,460 3 5 THIKA EAST 3 4,243 1 7,283 3 ,056 1 3,892 1 2 Male 1 7,386 9 ,357 1 ,784 6 ,237 8 Female 1 6,853 7 ,924 1 ,270 7 ,655 4 171

Page 185

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated THIKA WEST 2 11,628 1 05,211 1 7,921 8 8,445 5 1 Male 1 02,895 5 6,224 8 ,937 3 7,708 2 6 Female 1 08,717 4 8,979 8 ,984 5 0,729 2 5 TURKANA 7 91,011 3 27,808 1 45,174 3 17,342 6 87 Male 4 08,880 1 73,675 7 8,420 1 56,438 3 47 Female 3 82,112 1 54,127 6 6,746 1 60,899 3 40 KIBISH 3 0,925 2 1,123 3 ,453 6 ,349 - Male 1 5,710 1 0,641 1 ,868 3 ,201 - Female 1 5,214 1 0,482 1 ,585 3 ,147 - LOIMA 9 0,698 4 5,337 1 4,145 3 1,108 1 08 Male 4 5,687 2 2,817 7 ,744 1 5,070 5 6 Female 4 5,011 2 2,520 6 ,401 1 6,038 5 2 TURKANA CENTRAL 1 53,104 5 5,953 2 5,032 7 2,064 5 5 Male 7 6,290 2 9,467 1 3,275 3 3,520 2 8 Female 7 6,814 2 6,486 1 1,757 3 8,544 2 7 TURKANA EAST 1 23,590 6 4,674 2 2,053 3 6,715 1 48 Male 6 9,204 3 6,634 1 2,948 1 9,538 8 4 Female 5 4,374 2 8,037 9 ,098 1 7,175 6 4 TURKANA NORTH 5 4,475 2 9,172 7 ,611 1 7,688 4 Male 2 7,300 1 4,769 3 ,825 8 ,704 2 Female 2 7,175 1 4,403 3 ,786 8 ,984 2 TURKANA SOUTH 1 32,586 5 3,171 2 5,400 5 3,934 8 1 Male 6 7,968 2 8,033 1 4,122 2 5,773 4 0 Female 6 4,614 2 5,136 1 1,278 2 8,159 4 1 TURKANA WEST 2 05,633 5 8,378 4 7,480 9 9,484 2 91 Male 1 06,721 3 1,314 2 4,638 5 0,632 1 37 Female 9 8,910 2 7,063 2 2,841 4 8,852 1 54 WEST POKOT 5 05,029 2 41,125 1 9,661 2 44,145 9 8 Male 2 48,387 1 15,408 1 0,666 1 22,267 4 6 Female 2 56,631 1 25,713 8 ,995 1 21,871 5 2 KIPKOMO 8 3,739 3 3,569 2 ,230 4 7,940 - Male 4 1,357 1 5,955 1 ,307 2 4,095 - Female 4 2,376 1 7,612 9 23 2 3,841 - POKOT CENTRAL 9 6,554 4 7,409 3 ,345 4 5,784 1 6 Male 4 8,335 2 3,146 1 ,953 2 3,230 6 Female 4 8,218 2 4,262 1 ,392 2 2,554 1 0 POKOT NORTH 1 06,842 6 7,800 5 ,195 3 3,794 5 3 Male 5 1,183 3 1,801 2 ,627 1 6,733 2 2 Female 5 5,657 3 5,998 2 ,568 1 7,060 3 1 POKOT SOUTH 6 6,296 2 5,804 1 ,097 3 9,395 - Male 3 2,516 1 2,034 6 75 1 9,807 - Female 3 3,778 1 3,770 4 22 1 9,586 - WEST POKOT 1 51,598 6 6,543 7 ,794 7 7,232 2 9 Male 7 4,996 3 2,472 4 ,104 3 8,402 1 8 Female 7 6,602 3 4,071 3 ,690 3 8,830 1 1 SAMBURU 2 57,368 1 44,384 1 4,181 9 8,776 2 7 Male 1 29,696 7 2,130 7 ,815 4 9,740 1 1 Female 1 27,668 7 2,252 6 ,366 4 9,034 1 6 SAMBURU CENTRAL 1 37,852 7 0,621 7 ,040 6 0,172 1 9 Male 6 9,938 3 5,399 3 ,946 3 0,585 8 Female 6 7,912 3 5,220 3 ,094 2 9,587 1 1 SAMBURU EAST 6 4,070 3 8,232 4 ,223 2 1,614 1 Male 3 1,068 1 8,335 2 ,231 1 0,502 - Female 3 3,002 1 9,897 1 ,992 1 1,112 1 172

Page 186

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated SAMBURU NORTH 5 5,446 3 5,531 2 ,918 1 6,990 7 Male 2 8,690 1 8,396 1 ,638 8 ,653 3 Female 2 6,754 1 7,135 1 ,280 8 ,335 4 TRANS NZOIA 8 56,006 3 60,674 3 8,655 4 56,613 6 4 Male 4 20,590 1 75,862 2 2,477 2 22,220 3 1 Female 4 35,396 1 84,805 1 6,177 2 34,381 3 3 TRANS NZOIA WEST 1 72,694 7 3,065 9 ,175 9 0,420 3 4 Male 8 5,438 3 7,119 4 ,899 4 3,403 1 7 Female 8 7,253 3 5,946 4 ,275 4 7,015 1 7 TRANS NZOIA EAST 1 99,879 8 5,526 7 ,189 1 07,153 1 1 Male 9 8,290 4 0,894 4 ,363 5 3,029 4 Female 1 01,582 4 4,630 2 ,826 5 4,119 7 KWANZA 1 76,687 7 2,082 9 ,240 9 5,357 8 Male 8 6,640 3 4,887 5 ,284 4 6,464 5 Female 9 0,044 3 7,193 3 ,956 4 8,892 3 ENDEBESS 9 5,631 4 1,129 3 ,360 5 1,140 2 Male 4 7,979 2 0,536 1 ,997 2 5,445 1 Female 4 7,649 2 0,592 1 ,363 2 5,693 1 KIMININI 2 11,115 8 8,872 9 ,691 1 12,543 9 Male 1 02,243 4 2,426 5 ,934 5 3,879 4 Female 1 08,868 4 6,444 3 ,757 5 8,662 5 UASIN GISHU 1 ,012,918 4 51,826 6 5,879 4 95,077 1 36 Male 5 02,935 2 31,965 3 6,314 2 34,589 6 7 Female 5 09,961 2 19,848 2 9,562 2 60,482 6 9 AINABKOI 1 20,772 5 4,566 7 ,346 5 8,848 1 2 Male 5 9,469 2 7,507 4 ,071 2 7,885 6 Female 6 1,303 2 7,059 3 ,275 3 0,963 6 KAPSERET 1 73,670 7 7,829 1 3,440 8 2,356 4 5 Male 8 6,778 4 2,011 7 ,189 3 7,556 2 2 Female 8 6,888 3 5,814 6 ,251 4 4,800 2 3 KESSES 1 30,412 5 9,634 5 ,869 6 4,897 1 2 Male 6 5,087 2 9,272 3 ,681 3 2,128 6 Female 6 5,322 3 0,360 2 ,188 3 2,768 6 MOIBEN 1 56,504 7 1,054 1 0,504 7 4,932 1 4 Male 7 7,181 3 6,212 5 ,666 3 5,298 5 Female 7 9,321 3 4,841 4 ,837 3 9,634 9 SOY 1 99,687 8 7,228 1 0,618 1 01,814 2 7 Male 9 9,078 4 2,868 6 ,283 4 9,910 1 7 Female 1 00,604 4 4,359 4 ,333 5 1,902 1 0 TURBO 2 31,873 1 01,515 1 8,102 1 12,230 2 6 Male 1 15,342 5 4,095 9 ,424 5 1,812 1 1 Female 1 16,523 4 7,415 8 ,678 6 0,415 1 5 ELGEYO/MARAKWET 3 92,505 1 72,899 1 5,407 2 04,139 6 0 Male 1 96,039 8 5,221 1 0,079 1 00,710 2 9 Female 1 96,455 8 7,674 5 ,328 1 03,422 3 1 KEIYO NORTH 8 6,081 3 8,591 4 ,506 4 2,969 1 5 Male 4 2,941 1 9,216 2 ,860 2 0,859 6 Female 4 3,139 1 9,375 1 ,646 2 2,109 9 KEIYO SOUTH 1 05,955 4 9,312 3 ,293 5 3,332 1 8 Male 5 3,433 2 4,419 2 ,242 2 6,764 8 Female 5 2,519 2 4,891 1 ,051 2 6,567 1 0 MARAKWET EAST 8 2,462 3 2,787 3 ,621 4 6,053 1 Male 4 0,560 1 5,833 2 ,225 2 2,501 1 Female 4 1,900 1 6,953 1 ,396 2 3,551 - 173

Page 187

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated MARAKWET WEST 1 18,007 5 2,209 3 ,987 6 1,785 2 6 Male 5 9,105 2 5,753 2 ,752 3 0,586 1 4 Female 5 8,897 2 6,455 1 ,235 3 1,195 1 2 NANDI 7 77,779 3 66,657 2 5,493 3 85,549 8 0 Male 3 86,727 1 79,125 1 5,463 1 92,093 4 6 Female 3 91,032 1 87,517 1 0,030 1 93,451 3 4 CHESUMEI 1 44,423 6 7,685 6 ,934 6 9,800 4 Male 7 1,155 3 2,675 4 ,253 3 4,224 3 Female 7 3,265 3 5,008 2 ,681 3 5,575 1 NANDI CENTRAL 1 29,423 6 1,024 5 ,288 6 3,111 - Male 6 3,991 2 9,759 3 ,070 3 1,162 - Female 6 5,426 3 1,260 2 ,218 3 1,948 - NANDI EAST 1 04,652 4 9,224 3 ,971 5 1,416 4 1 Male 5 2,581 2 5,037 2 ,294 2 5,229 2 1 Female 5 2,068 2 4,184 1 ,677 2 6,187 2 0 NANDI NORTH 1 46,003 6 7,174 3 ,805 7 5,010 1 4 Male 7 2,335 3 2,071 2 ,527 3 7,728 9 Female 7 3,665 3 5,102 1 ,278 3 7,280 5 NANDI SOUTH 1 52,419 7 3,473 3 ,494 7 5,444 8 Male 7 5,431 3 5,450 2 ,150 3 7,827 4 Female 7 6,985 3 8,020 1 ,344 3 7,617 4 TINDERET 1 00,859 4 8,077 2 ,001 5 0,768 1 3 Male 5 1,234 2 4,133 1 ,169 2 5,923 9 Female 4 9,623 2 3,943 8 32 2 4,844 4 BARINGO 5 67,970 2 73,503 2 8,604 2 65,820 4 3 Male 2 85,431 1 35,615 1 6,907 1 32,891 1 8 Female 2 82,528 1 37,885 1 1,696 1 32,922 2 5 BARINGO CENTRAL 8 3,881 3 7,038 4 ,726 4 2,116 1 Male 4 1,377 1 8,196 2 ,873 2 0,308 - Female 4 2,504 1 8,842 1 ,853 2 1,808 1 BARINGO NORTH 9 0,244 4 0,098 3 ,459 4 6,684 3 Male 4 4,902 1 9,188 2 ,126 2 3,587 1 Female 4 5,340 2 0,909 1 ,332 2 3,097 2 EAST POKOT 6 7,191 4 0,139 4 ,075 2 2,972 5 Male 3 3,897 1 9,900 2 ,260 1 1,735 2 Female 3 3,292 2 0,239 1 ,815 1 1,235 3 KOIBATEK 1 12,677 5 5,057 4 ,016 5 3,596 8 Male 5 6,483 2 7,725 2 ,376 2 6,379 3 Female 5 6,192 2 7,332 1 ,640 2 7,215 5 MARIGAT 7 4,557 2 9,966 3 ,641 4 0,940 1 0 Male 3 7,214 1 4,437 2 ,107 2 0,664 6 Female 3 7,340 1 5,527 1 ,534 2 0,275 4 MOGOTIO 7 8,149 3 3,907 3 ,655 4 0,586 1 Male 3 9,362 1 6,768 2 ,246 2 0,347 1 Female 3 8,785 1 7,139 1 ,409 2 0,237 - TIATY EAST 6 1,271 3 7,298 5 ,032 1 8,926 1 5 Male 3 2,196 1 9,401 2 ,919 9 ,871 5 Female 2 9,075 1 7,897 2 ,113 9 ,055 1 0 LAIKIPIA 4 48,546 2 39,295 2 1,564 1 87,649 3 8 Male 2 22,942 1 19,077 1 2,545 9 1,302 1 8 Female 2 25,593 1 20,213 9 ,017 9 6,343 2 0 LAIKIPIA CENTRAL 8 4,945 4 7,406 3 ,224 3 4,303 1 2 Male 4 2,416 2 3,707 2 ,019 1 6,688 2 Female 4 2,529 2 3,699 1 ,205 1 7,615 1 0 174

Page 188

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated LAIKIPIA EAST 8 8,749 4 6,308 6 ,409 3 6,024 8 Male 4 4,501 2 4,370 3 ,483 1 6,642 6 Female 4 4,243 2 1,935 2 ,926 1 9,380 2 LAIKIPIA NORTH 2 9,383 1 6,029 1 ,401 1 1,952 1 Male 1 4,627 7 ,767 8 01 6 ,059 - Female 1 4,755 8 ,261 6 00 5 ,893 1 LAIKIPIA WEST 1 10,186 5 8,975 4 ,973 4 6,223 1 5 Male 5 5,278 2 9,323 2 ,993 2 2,952 1 0 Female 5 4,905 2 9,652 1 ,978 2 3,270 5 NYAHURURU 1 35,283 7 0,577 5 ,557 5 9,147 2 Male 6 6,120 3 3,910 3 ,249 2 8,961 - Female 6 9,161 3 6,666 2 ,308 3 0,185 2 NAKURU 1 ,870,222 9 09,666 9 4,842 8 65,402 3 12 Male 9 26,508 4 60,598 5 3,315 4 12,433 1 62 Female 9 43,629 4 49,029 4 1,519 4 52,931 1 50 GILGIL 1 60,643 7 6,480 6 ,317 7 7,816 3 0 Male 8 0,419 3 7,958 3 ,649 3 8,795 1 7 Female 8 0,217 3 8,519 2 ,667 3 9,018 1 3 KURESOI NORTH 1 50,876 7 3,139 3 ,367 7 4,352 1 8 Male 7 5,155 3 5,521 2 ,053 3 7,572 9 Female 7 5,718 3 7,617 1 ,314 3 6,778 9 KURESOI SOUTH 1 33,330 6 3,340 2 ,516 6 7,471 3 Male 6 7,045 3 1,087 1 ,542 3 4,415 1 Female 6 6,282 3 2,252 9 74 3 3,054 2 MOLO 1 36,495 6 7,430 5 ,028 6 4,033 4 Male 6 7,932 3 3,484 3 ,068 3 1,378 2 Female 6 8,558 3 3,943 1 ,960 3 2,653 2 NAIVASHA 3 05,554 1 56,874 1 9,321 1 29,293 6 6 Male 1 52,361 8 2,451 1 0,734 5 9,142 3 4 Female 1 53,167 7 4,409 8 ,584 7 0,142 3 2 NAKURU EAST 1 67,065 7 8,274 1 1,886 7 6,849 5 6 Male 7 8,937 3 9,960 6 ,025 3 2,921 3 1 Female 8 8,120 3 8,310 5 ,861 4 3,924 2 5 NAKURU NORTH 1 90,337 9 2,954 1 1,149 8 6,174 6 0 Male 9 2,074 4 5,852 6 ,170 4 0,019 3 3 Female 9 8,248 4 7,097 4 ,977 4 6,147 2 7 NAKURU WEST 1 69,831 7 8,472 1 6,137 7 5,216 6 Male 8 6,448 4 5,338 8 ,386 3 2,721 3 Female 8 3,373 3 3,130 7 ,749 4 2,491 3 NJORO 2 07,123 1 00,599 7 ,610 9 8,891 2 3 Male 1 02,549 4 8,762 4 ,629 4 9,149 9 Female 1 04,571 5 1,834 2 ,981 4 9,742 1 4 RONGAI 1 74,141 8 2,714 9 ,713 8 1,691 2 3 Male 8 6,870 4 1,556 5 ,890 3 9,413 1 1 Female 8 7,267 4 1,157 3 ,823 4 2,275 1 2 SUBUKIA 7 4,827 3 9,390 1 ,798 3 3,616 2 3 Male 3 6,718 1 8,629 1 ,169 1 6,908 1 2 Female 3 8,108 2 0,761 6 29 1 6,707 1 1 NAROK 9 61,649 4 64,247 2 3,739 4 73,475 1 88 Male 4 78,685 2 27,773 1 3,680 2 37,121 1 11 Female 4 82,941 2 36,459 1 0,058 2 36,347 7 7 NAROK EAST 9 6,606 4 8,040 2 ,436 4 6,124 6 Male 4 9,169 2 4,504 1 ,426 2 3,235 4 Female 4 7,430 2 3,529 1 ,010 2 2,889 2 NAROK NORTH 2 10,799 1 05,686 7 ,506 9 7,553 5 4 Male 1 06,907 5 5,476 4 ,247 4 7,150 3 4 Female 1 03,883 5 0,205 3 ,259 5 0,399 2 0 175

Page 189

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated NAROK SOUTH 1 96,999 1 01,419 3 ,376 9 2,176 2 8 Male 9 7,723 4 8,925 2 ,166 4 6,616 1 6 Female 9 9,275 5 2,493 1 ,210 4 5,560 1 2 NAROK WEST 1 56,729 7 4,175 5 ,400 7 7,120 3 4 Male 7 6,513 3 3,958 2 ,838 3 9,695 2 2 Female 8 0,214 4 0,217 2 ,561 3 7,424 1 2 TRANS MARA EAST 9 5,013 4 1,127 1 ,069 5 2,799 1 8 Male 4 6,374 1 8,658 7 02 2 7,003 1 1 Female 4 8,638 2 2,469 3 67 2 5,795 7 TRANS MARA WEST 2 05,471 9 3,770 3 ,952 1 07,701 4 8 Male 1 01,971 4 6,224 2 ,301 5 3,422 2 4 Female 1 03,497 4 7,544 1 ,651 5 4,278 2 4 MAU FOREST 3 2 3 0 - 2 - Male 2 8 2 8 - - - Female 4 2 - 2 - KAJIADO 9 51,420 4 52,921 7 9,919 4 18,261 3 19 Male 4 71,431 2 38,496 3 9,486 1 93,315 1 34 Female 4 79,959 2 14,413 4 0,432 2 24,929 1 85 ISINYA 1 81,164 9 0,047 2 2,614 6 8,343 1 60 Male 9 0,325 5 0,179 1 0,016 3 0,063 6 7 Female 9 0,833 3 9,866 1 2,597 3 8,277 9 3 KAJIADO CENTRAL 1 33,688 5 9,978 6 ,865 6 6,831 1 4 Male 6 6,768 3 0,494 3 ,773 3 2,499 2 Female 6 6,917 2 9,483 3 ,092 3 4,330 1 2 KAJIADO NORTH 2 68,723 1 28,396 2 6,298 1 13,948 8 1 Male 1 31,196 6 9,580 1 2,892 4 8,689 3 5 Female 1 37,516 5 8,810 1 3,406 6 5,254 4 6 KAJIADO WEST 1 52,128 7 2,411 1 0,142 6 9,536 3 9 Male 7 5,919 3 6,672 5 ,449 3 3,782 1 6 Female 7 6,204 3 5,738 4 ,693 3 5,750 2 3 LOITOKITOK 1 60,527 7 6,313 1 0,028 7 4,165 2 1 Male 7 8,870 3 7,818 5 ,039 3 6,000 1 3 Female 8 1,653 3 8,493 4 ,989 3 8,163 8 MASHUURU 5 5,190 2 5,776 3 ,972 2 5,438 4 Male 2 8,353 1 3,753 2 ,317 1 2,282 1 Female 2 6,836 1 2,023 1 ,655 1 3,155 3 KERICHO 7 87,507 3 91,168 2 1,807 3 74,322 2 10 Male 3 92,231 1 92,415 1 3,158 1 86,555 1 03 Female 3 95,250 1 98,738 8 ,648 1 87,757 1 07 BELGUT 1 29,183 6 5,182 4 ,059 5 9,929 1 3 Male 6 4,458 3 2,521 2 ,441 2 9,489 7 Female 6 4,725 3 2,661 1 ,618 3 0,440 6 BURETI 1 75,072 8 6,667 3 ,782 8 4,608 1 5 Male 8 6,527 4 2,226 2 ,377 4 1,916 8 Female 8 8,540 4 4,438 1 ,405 4 2,690 7 KERICHO EAST 1 48,600 7 5,700 5 ,852 6 6,977 7 1 Male 7 4,861 3 9,081 3 ,332 3 2,412 3 6 Female 7 3,732 3 6,613 2 ,519 3 4,565 3 5 KIPKELION 1 04,868 5 2,346 1 ,859 5 0,601 6 2 Male 5 2,225 2 5,104 1 ,181 2 5,908 3 2 Female 5 2,640 2 7,240 6 78 2 4,692 3 0 LONDIANI 1 19,180 5 8,054 3 ,417 5 7,678 3 1 Male 5 9,103 2 7,863 2 ,141 2 9,086 1 3 Female 6 0,067 3 0,187 1 ,276 2 8,586 1 8 SOIN SIGOWET 1 10,604 5 3,219 2 ,838 5 4,529 1 8 Male 5 5,057 2 5,620 1 ,686 2 7,744 7 Female 5 5,546 2 7,599 1 ,152 2 6,784 1 1 176

Page 190

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated BOMET 7 62,274 3 62,007 1 6,249 3 83,946 7 2 Male 3 76,450 1 71,774 9 ,984 1 94,653 3 9 Female 3 85,806 1 90,224 6 ,265 1 89,284 3 3 BOMET EAST 1 24,394 5 7,542 2 ,923 6 3,907 2 2 Male 6 0,883 2 6,036 1 ,896 3 2,939 1 2 Female 6 3,507 3 1,503 1 ,027 3 0,967 1 0 CHEPALUNGU 1 42,990 6 3,753 2 ,130 7 7,100 7 Male 6 8,860 2 8,061 1 ,439 3 9,357 3 Female 7 4,126 3 5,691 6 91 3 7,740 4 KONOIN 1 43,628 7 0,137 3 ,820 6 9,659 1 2 Male 7 3,087 3 5,993 2 ,201 3 4,885 8 Female 7 0,538 3 4,143 1 ,619 3 4,772 4 SOTIK 1 99,020 9 4,193 3 ,827 1 00,988 1 2 Male 9 7,699 4 4,314 2 ,302 5 1,077 6 Female 1 01,317 4 9,877 1 ,525 4 9,909 6 BOMET CENTRAL 1 52,242 7 6,382 3 ,549 7 2,292 1 9 Male 7 5,921 3 7,370 2 ,146 3 6,395 1 0 Female 7 6,318 3 9,010 1 ,403 3 5,896 9 KAKAMEGA 1 ,635,814 7 36,602 4 9,344 8 49,497 3 71 Male 7 80,958 3 36,346 2 9,583 4 14,865 1 64 Female 8 54,824 4 00,244 1 9,761 4 34,612 2 07 BUTERE 1 35,466 6 1,038 3 ,458 7 0,957 1 3 Male 6 4,503 2 7,715 2 ,203 3 4,578 7 Female 7 0,960 3 3,322 1 ,255 3 6,377 6 KAKAMEGA CENTRAL 1 64,509 7 7,660 7 ,714 7 9,094 4 1 Male 8 0,307 3 8,933 4 ,333 3 7,026 1 5 Female 8 4,200 3 8,727 3 ,381 4 2,066 2 6 KAKAMEGA EAST 1 47,245 6 7,822 5 ,663 7 3,607 1 53 Male 7 0,376 3 0,642 3 ,488 3 6,181 6 5 Female 7 6,865 3 7,179 2 ,175 3 7,423 8 8 KAKAMEGA NORTH 2 08,308 9 5,097 4 ,509 1 08,661 4 1 Male 1 00,544 4 4,027 2 ,692 5 3,807 1 8 Female 1 07,759 5 1,069 1 ,817 5 4,850 2 3 KAKAMEGA SOUTH 9 9,042 4 5,347 2 ,998 5 0,681 1 6 Male 4 6,844 2 0,167 1 ,982 2 4,686 9 Female 5 2,198 2 5,180 1 ,016 2 5,995 7 KHWISERO 1 00,349 4 7,193 1 ,962 5 1,184 1 0 Male 4 7,102 2 0,880 1 ,264 2 4,954 4 Female 5 3,244 2 6,311 6 98 2 6,229 6 LIKUYANI 1 33,503 5 6,108 5 ,995 7 1,387 1 3 Male 6 4,386 2 5,773 3 ,676 3 4,928 9 Female 6 9,115 3 0,335 2 ,319 3 6,457 4 LUGARI 1 07,722 5 0,271 3 ,257 5 4,187 7 Male 5 1,713 2 2,826 2 ,048 2 6,836 3 Female 5 6,009 2 7,445 1 ,209 2 7,351 4 MATETE 5 7,744 2 4,663 1 ,768 3 1,313 - Male 2 7,582 1 1,081 9 93 1 5,508 - Female 3 0,162 1 3,582 7 75 1 5,805 - MATUNGU 1 45,075 6 2,954 3 ,408 7 8,692 2 1 Male 6 8,135 2 7,698 2 ,055 3 8,371 1 1 Female 7 6,937 3 5,255 1 ,353 4 0,319 1 0 MUMIAS EAST 1 02,244 4 4,552 2 ,667 5 5,018 7 Male 4 8,624 2 0,022 1 ,518 2 7,081 3 Female 5 3,617 2 4,529 1 ,149 2 7,935 4 MUMIAS WEST 1 00,394 4 3,179 4 ,115 5 3,073 2 7 Male 4 7,451 1 9,575 2 ,139 2 5,726 1 1 Female 5 2,942 2 3,603 1 ,976 2 7,347 1 6 177

Page 191

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated NAVAKHOLO 1 34,213 6 0,718 1 ,830 7 1,643 2 2 Male 6 3,391 2 7,007 1 ,192 3 5,183 9 Female 7 0,816 3 3,707 6 38 3 6,458 1 3 VIHIGA 5 22,668 2 50,123 1 5,154 2 57,299 9 2 Male 2 50,241 1 14,367 9 ,627 1 26,198 4 9 Female 2 72,418 1 35,752 5 ,526 1 31,097 4 3 EMUHAYA 8 6,136 4 1,298 2 ,413 4 2,408 1 7 Male 4 1,036 1 8,559 1 ,588 2 0,880 9 Female 4 5,099 2 2,739 8 24 2 1,528 8 VIHIGA 8 4,383 4 1,773 2 ,175 4 0,411 2 4 Male 4 0,306 1 9,022 1 ,363 1 9,905 1 6 Female 4 4,075 2 2,749 8 12 2 0,506 8 SABATIA 1 16,769 5 7,855 3 ,094 5 5,805 1 5 Male 5 5,656 2 6,323 1 ,929 2 7,399 5 Female 6 1,112 3 1,532 1 ,165 2 8,405 1 0 LUANDA 9 3,794 4 4,377 3 ,300 4 6,090 2 7 Male 4 5,109 2 0,630 2 ,038 2 2,427 1 4 Female 4 8,683 2 3,745 1 ,262 2 3,663 1 3 HAMISI 1 41,570 6 4,806 4 ,171 7 2,584 9 Male 6 8,122 2 9,821 2 ,709 3 5,587 5 Female 7 3,445 3 4,985 1 ,462 3 6,994 4 KAKAMEGA FOREST 1 6 1 4 1 1 - Male 1 2 1 2 - - - Female 4 2 1 1 - BUNGOMA 1 ,445,146 6 29,607 4 0,627 7 74,779 1 33 Male 6 99,238 2 91,427 2 4,655 3 83,084 7 2 Female 7 45,877 3 38,171 1 5,971 3 91,674 6 1 BUMULA 1 87,281 8 2,608 4 ,150 1 00,521 2 Male 8 9,237 3 6,793 2 ,535 4 9,907 2 Female 9 8,043 4 5,815 1 ,615 5 0,613 - BUNGOMA CENTRAL 1 54,035 7 1,117 3 ,033 7 9,881 4 Male 7 4,385 3 2,970 1 ,999 3 9,413 3 Female 7 9,643 3 8,144 1 ,033 4 0,465 1 BUNGOMA EAST 1 00,028 4 3,380 2 ,919 5 3,708 2 1 Male 4 8,495 2 0,005 1 ,691 2 6,788 1 1 Female 5 1,531 2 3,374 1 ,228 2 6,919 1 0 BUNGOMA NORTH 1 05,163 4 4,799 2 ,611 5 7,740 1 3 Male 5 0,746 2 0,340 1 ,567 2 8,832 7 Female 5 4,416 2 4,459 1 ,044 2 8,907 6 BUNGOMA SOUTH 2 48,245 1 05,543 1 1,534 1 31,154 1 4 Male 1 19,483 5 0,275 6 ,745 6 2,458 5 Female 1 28,757 5 5,267 4 ,789 6 8,692 9 CHEPTAIS 1 15,297 5 0,244 2 ,365 6 2,669 1 9 Male 5 7,395 2 3,971 1 ,460 3 1,950 1 4 Female 5 7,897 2 6,271 9 05 3 0,716 5 KIMILILI 1 40,995 5 8,104 5 ,646 7 7,240 5 Male 6 8,003 2 6,877 3 ,308 3 7,816 2 Female 7 2,989 3 1,226 2 ,338 3 9,422 3 MT. ELGON 6 7,932 2 9,110 1 ,257 3 7,558 7 Male 3 3,516 1 3,914 8 52 1 8,746 4 Female 3 4,413 1 5,195 4 05 1 8,810 3 BUNGOMA WEST 1 03,745 4 7,285 1 ,887 5 4,547 2 6 Male 5 0,202 2 1,762 1 ,157 2 7,271 1 2 Female 5 3,542 2 5,523 7 30 2 7,275 1 4 TONGAREN 8 7,309 3 6,835 2 ,520 4 7,938 1 6 Male 4 2,193 1 6,522 1 ,722 2 3,941 8 Female 4 5,115 2 0,313 7 98 2 3,996 8 178

Page 192

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated WEBUYE WEST 1 32,143 5 9,262 2 ,689 7 0,186 6 Male 6 4,037 2 7,323 1 ,608 3 5,102 4 Female 6 8,104 3 1,939 1 ,081 3 5,082 2 MT. ELGON FOREST 2 ,973 1 ,320 1 6 1 ,637 - Male 1 ,546 6 75 1 1 8 60 - Female 1 ,427 6 45 5 7 77 - BUSIA 7 73,860 3 51,407 2 2,325 4 00,058 7 0 Male 3 65,514 1 58,748 1 2,551 1 94,182 3 3 Female 4 08,321 1 92,652 9 ,774 2 05,858 3 7 BUNYALA 7 5,247 3 4,330 1 ,984 3 8,926 7 Male 3 6,035 1 6,030 1 ,078 1 8,924 3 Female 3 9,211 1 8,300 9 06 2 0,001 4 BUSIA 1 20,695 5 2,713 6 ,139 6 1,809 3 4 Male 5 7,316 2 4,707 3 ,194 2 9,397 1 8 Female 6 3,378 2 8,006 2 ,945 3 2,411 1 6 BUTULA 1 22,298 5 5,176 2 ,829 6 4,290 3 Male 5 6,154 2 3,255 1 ,634 3 1,263 2 Female 6 6,141 3 1,919 1 ,195 3 3,026 1 NAMBALE 9 7,318 4 3,259 2 ,168 5 1,883 8 Male 4 5,824 1 9,382 1 ,294 2 5,145 3 Female 5 1,491 2 3,875 8 74 2 6,737 5 SAMIA 9 3,413 4 3,430 2 ,330 4 7,653 - Male 4 4,022 1 9,148 1 ,440 2 3,434 - Female 4 9,377 2 4,280 8 90 2 4,207 - TESO NORTH 1 19,046 5 5,514 2 ,770 6 0,758 4 Male 5 6,873 2 5,475 1 ,527 2 9,869 2 Female 6 2,172 3 0,039 1 ,243 3 0,888 2 TESO SOUTH 1 45,843 6 6,985 4 ,105 7 4,739 1 4 Male 6 9,290 3 0,751 2 ,384 3 6,150 5 Female 7 6,551 3 6,233 1 ,721 3 8,588 9 SIAYA 8 68,276 4 12,930 2 2,225 4 32,797 3 24 Male 4 08,871 1 84,123 1 2,139 2 12,446 1 63 Female 4 59,389 2 28,796 1 0,085 2 20,347 1 61 SIAYA 1 95,767 9 4,482 4 ,819 9 6,348 1 18 Male 9 1,256 4 1,735 2 ,768 4 6,696 5 7 Female 1 04,507 5 2,744 2 ,051 4 9,651 6 1 GEM 1 57,678 7 7,064 2 ,948 7 7,599 6 7 Male 7 4,647 3 4,232 1 ,783 3 8,595 3 7 Female 8 3,028 4 2,831 1 ,164 3 9,003 3 0 UGENYA 1 18,387 5 5,868 2 ,485 6 0,023 1 1 Male 5 4,676 2 3,532 1 ,390 2 9,747 7 Female 6 3,707 3 2,333 1 ,095 3 0,275 4 UGUNJA 9 1,731 4 4,351 2 ,020 4 5,351 9 Male 4 2,663 1 9,383 1 ,075 2 2,200 5 Female 4 9,068 2 4,968 9 45 2 3,151 4 BONDO 1 71,291 7 9,553 6 ,210 8 5,470 5 8 Male 8 2,623 3 7,889 3 ,088 4 1,617 2 9 Female 8 8,665 4 1,662 3 ,122 4 3,852 2 9 RARIEDA 1 33,422 6 1,612 3 ,743 6 8,006 6 1 Male 6 3,006 2 7,352 2 ,035 3 3,591 2 8 Female 7 0,414 3 4,258 1 ,708 3 4,415 3 3 KISUMU 1 ,004,086 4 34,312 5 0,843 5 18,631 3 00 Male 4 83,463 2 10,952 2 7,124 2 45,239 1 48 Female 5 20,604 2 23,345 2 3,718 2 73,389 1 52 179

Page 193

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KISUMU EAST 1 91,117 8 1,169 1 4,810 9 5,070 6 8 Male 9 3,472 4 2,875 7 ,593 4 2,975 2 9 Female 9 7,641 3 8,291 7 ,217 5 2,094 3 9 KISUMU CENTRAL 1 50,284 6 5,426 1 1,351 7 3,449 5 8 Male 7 1,884 3 4,744 5 ,484 3 1,627 2 9 Female 7 8,396 3 0,678 5 ,867 4 1,822 2 9 KISUMU WEST 1 49,488 6 4,014 7 ,643 7 7,790 4 1 Male 7 2,933 3 1,509 4 ,250 3 7,152 2 2 Female 7 6,552 3 2,502 3 ,393 4 0,638 1 9 SEME 1 06,470 4 7,724 2 ,243 5 6,492 1 1 Male 5 0,090 2 0,710 1 ,405 2 7,970 5 Female 5 6,379 2 7,013 8 38 2 8,522 6 MUHORONI 1 33,142 5 9,950 4 ,501 6 8,659 3 2 Male 6 5,778 2 9,375 2 ,632 3 3,753 1 8 Female 6 7,363 3 0,575 1 ,869 3 4,905 1 4 NYANDO 1 41,464 6 0,554 5 ,659 7 5,210 4 1 Male 6 7,115 2 7,540 3 ,202 3 6,352 2 1 Female 7 4,344 3 3,010 2 ,457 3 8,857 2 0 NYAKACH 1 32,121 5 5,475 4 ,636 7 1,961 4 9 Male 6 2,191 2 4,199 2 ,558 3 5,410 2 4 Female 6 9,929 3 1,276 2 ,077 3 6,551 2 5 HOMA BAY 9 70,400 4 19,128 2 7,424 5 23,766 8 2 Male 4 58,186 1 85,239 1 4,683 2 58,225 3 9 Female 5 12,195 2 33,878 1 2,739 2 65,535 4 3 HOMA BAY 1 00,166 4 2,977 3 ,698 5 3,478 1 3 Male 4 6,862 1 9,737 1 ,788 2 5,331 6 Female 5 3,303 2 3,240 1 ,909 2 8,147 7 NDHIWA 1 83,989 8 1,209 3 ,660 9 9,108 1 2 Male 8 6,676 3 4,995 2 ,103 4 9,572 6 Female 9 7,307 4 6,211 1 ,556 4 9,534 6 RACHUONYO NORTH 1 55,166 6 8,156 4 ,155 8 2,837 1 8 Male 7 3,553 3 0,173 2 ,325 4 1,046 9 Female 8 1,609 3 7,979 1 ,830 4 1,791 9 RACHUONYO EAST 1 05,522 4 5,566 2 ,076 5 7,878 2 Male 4 9,596 1 9,294 1 ,254 2 9,047 1 Female 5 5,924 2 6,271 8 22 2 8,830 1 RACHUONYO SOUTH 1 12,983 4 9,385 3 ,307 6 0,289 2 Male 5 2,629 2 1,395 1 ,738 2 9,495 1 Female 6 0,354 2 7,990 1 ,569 3 0,794 1 RANGWE 1 01,323 4 2,651 2 ,645 5 6,012 1 5 Male 4 7,099 1 7,738 1 ,348 2 8,008 5 Female 5 4,221 2 4,912 1 ,297 2 8,002 1 0 SUBA NORTH 1 07,218 4 5,286 4 ,465 5 7,462 5 Male 5 1,754 2 1,350 2 ,454 2 7,947 3 Female 5 5,463 2 3,935 2 ,011 2 9,515 2 SUBA SOUTH 1 04,033 4 3,898 3 ,418 5 6,702 1 5 Male 5 0,017 2 0,557 1 ,673 2 7,779 8 Female 5 4,014 2 3,340 1 ,745 2 8,922 7 MIGORI 9 48,018 4 00,538 3 3,117 5 14,155 2 08 Male 4 52,298 1 82,240 1 8,140 2 51,825 9 3 Female 4 95,690 2 18,286 1 4,975 2 62,314 1 15 AWENDO 1 00,402 4 3,685 2 ,616 5 4,073 2 8 Male 4 7,980 1 9,881 1 ,577 2 6,509 1 3 Female 5 2,420 2 3,803 1 ,039 2 7,563 1 5 KURIA EAST 8 1,510 3 5,412 2 ,359 4 3,711 2 8 Male 3 9,331 1 5,981 1 ,317 2 2,022 1 1 Female 4 2,172 1 9,428 1 ,042 2 1,685 1 7 180

Page 194

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KURIA WEST 1 76,743 7 4,730 7 ,403 9 4,567 4 3 Male 8 5,408 3 4,984 4 ,097 4 6,312 1 5 Female 9 1,329 3 9,744 3 ,305 4 8,252 2 8 NYATIKE 1 48,791 6 0,078 6 ,367 8 2,319 2 7 Male 7 0,281 2 6,748 3 ,419 4 0,099 1 5 Female 7 8,503 3 3,327 2 ,948 4 2,216 1 2 RONGO 1 07,298 4 4,296 3 ,867 5 9,125 1 0 Male 5 0,619 1 9,696 2 ,165 2 8,756 2 Female 5 6,678 2 4,600 1 ,702 3 0,368 8 SUNA EAST 1 04,526 4 5,667 3 ,507 5 5,319 3 3 Male 4 9,732 2 1,064 1 ,729 2 6,921 1 8 Female 5 4,791 2 4,602 1 ,778 2 8,396 1 5 SUNA WEST 1 07,719 4 4,104 4 ,296 5 9,314 5 Male 5 0,920 2 0,293 2 ,339 2 8,285 3 Female 5 6,798 2 3,810 1 ,957 3 1,029 2 URIRI 1 21,029 5 2,566 2 ,702 6 5,727 3 4 Male 5 8,027 2 3,593 1 ,497 3 2,921 1 6 Female 6 2,999 2 8,972 1 ,204 3 2,805 1 8 KISII 1 ,117,320 5 07,691 4 1,266 5 68,224 1 39 Male 5 30,397 2 28,989 2 4,387 2 76,958 6 3 Female 5 86,890 2 78,691 1 6,874 2 91,249 7 6 ETAGO 7 3,492 3 1,267 1 ,735 4 0,485 5 Male 3 5,023 1 3,847 1 ,101 2 0,073 2 Female 3 8,466 1 7,419 6 34 2 0,410 3 GUCHA 7 3,624 3 3,707 2 ,068 3 7,828 2 1 Male 3 4,520 1 4,819 1 ,191 1 8,501 9 Female 3 9,103 1 8,887 8 77 1 9,327 1 2 GUCHA SOUTH 7 3,860 3 2,984 2 ,449 3 8,395 3 2 Male 3 5,135 1 4,602 1 ,394 1 9,122 1 7 Female 3 8,722 1 8,380 1 ,055 1 9,272 1 5 KENYENYA 1 16,237 5 2,153 3 ,938 6 0,136 1 0 Male 5 5,198 2 3,295 2 ,327 2 9,571 5 Female 6 1,037 2 8,857 1 ,611 3 0,564 5 KISII CENTRAL 1 45,465 6 5,913 7 ,419 7 2,123 1 0 Male 7 0,103 3 1,493 4 ,342 3 4,264 4 Female 7 5,359 3 4,420 3 ,076 3 7,857 6 KISII SOUTH 1 19,471 5 2,481 4 ,797 6 2,191 2 Male 5 6,734 2 3,857 3 ,008 2 9,867 2 Female 6 2,732 2 8,624 1 ,788 3 2,320 - KITUTU CENTRAL 1 35,748 6 0,125 7 ,747 6 7,852 2 4 Male 6 5,233 2 9,191 4 ,396 3 1,634 1 2 Female 7 0,510 3 0,932 3 ,350 3 6,216 1 2 MARANI 9 5,168 4 5,177 2 ,927 4 7,045 1 9 Male 4 4,453 1 9,248 1 ,755 2 3,442 8 Female 5 0,714 2 5,929 1 ,172 2 3,602 1 1 MASABA SOUTH 1 08,776 5 2,153 2 ,819 5 3,799 5 Male 5 1,200 2 2,743 1 ,648 2 6,807 2 Female 5 7,572 2 9,407 1 ,171 2 6,991 3 NYAMACHE 1 16,109 5 4,050 3 ,550 5 8,500 9 Male 5 4,818 2 3,559 2 ,119 2 9,139 1 Female 6 1,289 3 0,490 1 ,430 2 9,361 8 SAMETA 5 9,370 2 7,681 1 ,817 2 9,870 2 Male 2 7,980 1 2,335 1 ,106 1 4,538 1 Female 3 1,386 1 5,346 7 10 1 5,329 1 NYAMIRA 5 38,716 2 50,423 1 8,614 2 69,627 5 2 Male 2 57,306 1 13,852 1 1,424 1 32,009 2 1 Female 2 81,399 1 36,568 7 ,190 1 37,610 3 1 181

Page 195

Table 2.8a: Distribution of Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/ No Persons outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated BORABU 6 5,594 2 9,499 3 ,405 3 2,684 6 Male 3 2,823 1 4,741 1 ,924 1 6,156 2 Female 3 2,771 1 4,758 1 ,481 1 6,528 4 MANGA 8 4,191 3 9,629 3 ,269 4 1,282 1 1 Male 3 9,838 1 7,616 2 ,116 2 0,102 4 Female 4 4,352 2 2,013 1 ,153 2 1,179 7 MASABA NORTH 9 9,317 4 6,022 3 ,030 5 0,258 7 Male 4 6,643 2 0,339 1 ,846 2 4,455 3 Female 5 2,672 2 5,682 1 ,184 2 5,802 4 NYAMIRA NORTH 1 48,863 6 9,169 4 ,767 7 4,924 3 Male 7 1,075 3 1,116 3 ,012 3 6,945 2 Female 7 7,783 3 8,052 1 ,755 3 7,975 1 NYAMIRA SOUTH 1 40,751 6 6,104 4 ,143 7 0,479 2 5 Male 6 6,927 3 0,040 2 ,526 3 4,351 1 0 Female 7 3,821 3 6,063 1 ,617 3 6,126 1 5 NAIROBI CITY 3 ,814,871 1 ,812,311 4 22,288 1 ,578,696 1 ,576 Male 1 ,888,886 1 ,030,840 2 03,434 6 53,821 7 91 Female 1 ,925,799 7 81,389 2 18,822 9 24,806 7 82 DAGORETTI 3 78,448 1 82,767 4 0,294 1 55,215 1 72 Male 1 89,576 1 07,246 1 9,499 6 2,745 8 6 Female 1 88,848 7 5,508 2 0,794 9 2,460 8 6 EMBAKASI 8 57,691 4 11,983 1 01,012 3 44,410 2 86 Male 4 26,408 2 39,766 4 7,688 1 38,807 1 47 Female 4 31,246 1 72,196 5 3,319 2 05,593 1 38 KAMUKUNJI 2 29,722 9 6,482 3 1,149 1 01,952 1 39 Male 1 15,607 5 7,014 1 6,058 4 2,465 7 0 Female 1 14,109 3 9,462 1 5,091 5 9,487 6 9 KASARANI 6 75,307 3 28,353 7 1,977 2 74,754 2 23 Male 3 26,583 1 77,938 3 3,598 1 14,939 1 08 Female 3 48,692 1 50,404 3 8,374 1 59,799 1 15 KIBRA 1 61,903 6 9,420 1 9,254 7 3,180 4 9 Male 8 2,065 4 1,077 9 ,775 3 1,190 2 3 Female 7 9,831 2 8,339 9 ,479 4 1,987 2 6 LANG’ATA 1 73,427 8 3,422 1 4,024 7 5,905 7 6 Male 8 3,860 4 5,203 6 ,660 3 1,965 3 2 Female 8 9,559 3 8,216 7 ,363 4 3,937 4 3 MAKADARA 1 68,569 8 2,935 2 1,994 6 3,598 4 2 Male 8 5,405 4 7,304 1 0,685 2 7,392 2 4 Female 8 3,155 3 5,629 1 1,307 3 6,201 1 8 MATHARE 1 79,170 8 4,898 2 2,837 7 1,332 1 03 Male 9 2,475 5 0,971 1 1,600 2 9,850 5 4 Female 8 6,682 3 3,923 1 1,231 4 1,479 4 9 NJIRU 5 42,946 2 55,777 5 4,134 2 32,796 2 39 Male 2 64,941 1 41,106 2 6,546 9 7,165 1 24 Female 2 77,978 1 14,665 2 7,581 1 35,618 1 14 STAREHE 1 74,671 7 8,295 1 9,418 7 6,805 1 53 Male 8 6,707 4 4,480 9 ,471 3 2,677 7 9 Female 8 7,955 3 3,810 9 ,945 4 4,126 7 4 WESTLANDS 2 73,017 1 37,979 2 6,195 1 08,749 9 4 Male 1 35,259 7 8,735 1 1,854 4 4,626 4 4 Female 1 37,744 5 9,237 1 4,338 6 4,119 5 0 1 Intersex population is excluded from the table since it is too small to be distributed at sub-national level. 2 Persons outside the labour force is what was formally referred to as the economically inactive and includes: full-time students,home makers, the retired, incapacitated persons and those who are either too young or too old to work. 182

Page 196

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KENYA 1 2,783,831 5 ,803,977 1 ,337,661 5 ,638,413 3 ,780 Male 6 ,282,451 3 ,163,985 6 85,431 2 ,431,126 1 ,909 Female 6 ,500,852 2 ,639,726 6 52,153 3 ,207,105 1 ,868 Intersex 5 28 2 66 7 7 1 82 3 MOMBASA 1 ,043,603 4 23,439 1 41,942 4 77,965 2 57 Male 5 23,840 2 52,197 7 6,485 1 95,024 1 34 Female 5 19,747 1 71,233 6 5,453 2 82,938 1 23 CHANGAMWE 1 15,799 5 0,074 1 7,573 4 8,141 1 1 Male 6 0,352 3 0,762 9 ,655 1 9,932 3 Female 5 5,447 1 9,312 7 ,918 2 8,209 8 JOMVU 1 41,623 5 9,279 1 8,120 6 4,198 2 6 Male 7 1,845 3 5,066 1 0,669 2 6,097 1 3 Female 6 9,775 2 4,210 7 ,451 3 8,101 1 3 KISAUNI 2 49,250 1 02,544 3 2,196 1 14,439 7 1 Male 1 24,035 5 9,631 1 6,409 4 7,956 3 9 Female 1 25,212 4 2,911 1 5,786 6 6,483 3 2 LIKONI 2 15,656 8 0,269 3 4,654 1 00,710 2 3 Male 1 09,317 4 9,922 1 8,863 4 0,517 1 5 Female 1 06,336 3 0,347 1 5,789 6 0,192 8 MVITA 1 32,701 4 7,883 1 6,314 6 8,434 7 0 Male 6 3,405 2 7,559 9 ,026 2 6,780 4 0 Female 6 9,294 2 0,323 7 ,288 4 1,653 3 0 NYALI 1 88,574 8 3,390 2 3,085 8 2,043 5 6 Male 9 4,886 4 9,257 1 1,863 3 3,742 2 4 Female 9 3,683 3 4,130 1 1,221 4 8,300 3 2 KWALE 1 07,281 4 5,557 1 2,108 4 9,599 1 7 Male 5 2,651 2 4,826 6 ,847 2 0,970 8 Female 5 4,626 2 0,729 5 ,261 2 8,627 9 KINANGO 5 ,056 2 ,174 2 85 2 ,594 3 Male 2 ,304 1 ,001 1 61 1 ,142 - Female 2 ,752 1 ,173 1 24 1 ,452 3 LUNGA LUNGA 2 ,181 7 91 4 01 9 89 - Male 1 ,034 3 91 1 89 4 54 - Female 1 ,147 4 00 2 12 5 35 - MATUGA 8 ,636 3 ,714 7 18 4 ,204 - Male 4 ,188 1 ,970 4 09 1 ,809 - Female 4 ,448 1 ,744 3 09 2 ,395 - MSAMBWENI 7 8,927 3 3,982 8 ,996 3 5,935 1 4 Male 3 9,069 1 8,880 5 ,143 1 5,038 8 Female 3 9,855 1 5,100 3 ,853 2 0,896 6 SAMBURU 1 2,481 4 ,896 1 ,708 5 ,877 - Male 6 ,056 2 ,584 9 45 2 ,527 - Female 6 ,424 2 ,312 7 63 3 ,349 - KILIFI 3 38,364 1 41,235 3 6,154 1 60,880 9 5 Male 1 62,917 7 4,773 1 9,296 6 8,810 3 8 Female 1 75,442 6 6,459 1 6,858 9 2,068 5 7 183

Page 197

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated CHONYI - - - - - Male - - - - - Female - - - - - GANZE 1 ,681 8 54 8 3 7 34 1 0 Male 7 46 3 66 3 8 3 38 4 Female 9 35 4 88 4 5 3 96 6 KALOLENI 3 0,663 1 2,293 3 ,009 1 5,353 8 Male 1 4,783 6 ,592 1 ,607 6 ,581 3 Female 1 5,880 5 ,701 1 ,402 8 ,772 5 KAUMA - - - - - Male - - - - - Female - - - - - KILIFI NORTH 6 4,161 2 7,081 6 ,139 3 0,932 9 Male 3 0,606 1 4,100 3 ,052 1 3,450 4 Female 3 3,554 1 2,981 3 ,087 1 7,481 5 KILIFI SOUTH 8 8,935 3 6,176 1 2,249 4 0,503 7 Male 4 2,979 1 9,489 6 ,437 1 7,049 4 Female 4 5,955 1 6,686 5 ,812 2 3,454 3 MAGARINI 1 5,540 6 ,222 1 ,016 8 ,287 1 5 Male 7 ,367 2 ,983 6 04 3 ,771 9 Female 8 ,173 3 ,239 4 12 4 ,516 6 MALINDI 1 26,606 5 3,744 1 2,534 6 0,283 4 5 Male 6 1,235 2 8,614 6 ,870 2 5,737 1 4 Female 6 5,368 2 5,128 5 ,664 3 4,545 3 1 RABAI 1 0,778 4 ,865 1 ,124 4 ,788 1 Male 5 ,201 2 ,629 6 88 1 ,884 - Female 5 ,577 2 ,236 4 36 2 ,904 1 TANA RIVER 6 3,958 1 9,024 1 1,000 3 3,909 2 5 Male 3 1,778 1 0,815 6 ,289 1 4,662 1 2 Female 3 2,179 8 ,209 4 ,711 1 9,246 1 3 TANA DELTA 8 ,446 2 ,486 1 ,465 4 ,484 1 1 Male 4 ,084 1 ,311 8 04 1 ,965 4 Female 4 ,362 1 ,175 6 61 2 ,519 7 TANA NORTH 3 8,032 1 0,276 7 ,527 2 0,223 6 Male 1 9,227 6 ,159 4 ,301 8 ,764 3 Female 1 8,804 4 ,117 3 ,226 1 1,458 3 TANA RIVER 1 7,480 6 ,262 2 ,008 9 ,202 8 Male 8 ,467 3 ,345 1 ,184 3 ,933 5 Female 9 ,013 2 ,917 8 24 5 ,269 3 LAMU 3 2,436 1 3,037 2 ,888 1 6,502 9 Male 1 6,237 7 ,884 1 ,680 6 ,668 5 Female 1 6,198 5 ,153 1 ,208 9 ,833 4 LAMU EAST 2 ,520 1 ,246 9 1 1 ,183 - Male 1 ,278 7 31 5 4 4 93 - Female 1 ,242 5 15 3 7 6 90 - LAMU WEST 2 9,916 1 1,791 2 ,797 1 5,319 9 Male 1 4,959 7 ,153 1 ,626 6 ,175 5 Female 1 4,956 4 ,638 1 ,171 9 ,143 4 184

Page 198

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated TAITA/TAVETA 7 9,385 3 8,716 7 ,172 3 3,483 1 4 Male 3 8,923 2 0,574 3 ,788 1 4,552 9 Female 4 0,458 1 8,140 3 ,382 1 8,931 5 MWATATE 8 ,260 4 ,257 5 20 3 ,481 2 Male 3 ,973 2 ,185 2 44 1 ,543 1 Female 4 ,287 2 ,072 2 76 1 ,938 1 TAITA 3 ,605 2 ,064 2 12 1 ,329 - Male 1 ,816 1 ,054 1 48 6 14 - Female 1 ,789 1 ,010 6 4 7 15 - TAVETA 1 8,534 9 ,155 1 ,333 8 ,046 - Male 8 ,958 4 ,574 7 66 3 ,618 - Female 9 ,576 4 ,581 5 67 4 ,428 - VOI 4 8,986 2 3,240 5 ,107 2 0,627 1 2 Male 2 4,176 1 2,761 2 ,630 8 ,777 8 Female 2 4,806 1 0,477 2 ,475 1 1,850 4 GARISSA 1 78,508 3 4,129 4 5,497 9 8,823 5 9 Male 9 2,369 1 9,593 2 4,764 4 7,981 3 1 Female 8 6,133 1 4,535 2 0,732 5 0,838 2 8 BALAMBALA - - - - - Male - - - - - Female - - - - - DADAAB 9 ,425 1 ,904 3 ,444 4 ,072 5 Male 5 ,197 1 ,108 1 ,890 2 ,196 3 Female 4 ,228 7 96 1 ,554 1 ,876 2 FAFI 5 ,762 3 ,172 8 07 1 ,783 - Male 3 ,141 1 ,796 4 79 8 66 - Female 2 ,620 1 ,375 3 28 9 17 - GARISSA 1 12,454 1 6,853 2 8,465 6 7,098 3 8 Male 5 5,413 1 0,034 1 4,787 3 0,574 1 8 Female 5 7,036 6 ,819 1 3,677 3 6,520 2 0 HULUGHO - - - - - Male - - - - - Female - - - - - IJARA 4 7,229 1 1,470 1 1,581 2 4,162 1 6 Male 2 6,877 6 ,305 7 ,032 1 3,530 1 0 Female 2 0,352 5 ,165 4 ,549 1 0,632 6 LAGDERA 3 ,638 7 30 1 ,200 1 ,708 - Male 1 ,741 3 50 5 76 8 15 - Female 1 ,897 3 80 6 24 8 93 - WAJIR 1 51,317 3 0,168 4 1,368 7 9,751 3 0 Male 8 1,163 1 7,043 2 3,298 4 0,800 2 2 Female 7 0,134 1 3,108 1 8,067 3 8,951 8 BUNA - - - - - Male - - - - - Female - - - - - ELDAS 1 0,552 3 ,050 2 ,913 4 ,589 - Male 5 ,763 1 ,696 1 ,602 2 ,465 - Female 4 ,788 1 ,353 1 ,311 2 ,124 - 185

Page 199

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated HABASWEIN 2 5,492 6 ,309 5 ,949 1 3,231 3 Male 1 3,505 3 ,457 3 ,449 6 ,599 - Female 1 1,972 2 ,838 2 ,499 6 ,632 3 TARBAJ 3 ,039 5 41 8 82 1 ,616 - Male 1 ,520 2 87 4 34 7 99 - Female 1 ,519 2 54 4 48 8 17 - WAJIR EAST 7 6,952 1 1,794 2 3,036 4 2,095 2 7 Male 4 1,041 7 ,106 1 2,597 2 1,316 2 2 Female 3 5,909 4 ,687 1 0,438 2 0,779 5 WAJIR NORTH 1 1,159 2 ,979 2 ,221 5 ,959 - Male 5 ,699 1 ,528 1 ,290 2 ,881 - Female 5 ,459 1 ,451 9 30 3 ,078 - WAJIR SOUTH - - - - - Male - - - - - Female - - - - - WAJIR WEST 2 4,123 5 ,495 6 ,367 1 2,261 - Male 1 3,635 2 ,969 3 ,926 6 ,740 - Female 1 0,487 2 ,525 2 ,441 5 ,521 - MANDERA 2 21,460 5 6,417 3 6,890 1 28,115 3 8 Male 1 11,304 2 9,184 2 1,810 6 0,289 2 1 Female 1 10,149 2 7,232 1 5,079 6 7,821 1 7 MANDERA WEST 1 6,937 5 ,998 1 ,963 8 ,976 - Male 8 ,447 2 ,876 1 ,225 4 ,346 - Female 8 ,490 3 ,122 7 38 4 ,630 - BANISA 1 1,806 3 ,858 2 ,712 5 ,235 1 Male 6 ,185 2 ,025 1 ,505 2 ,654 1 Female 5 ,621 1 ,833 1 ,207 2 ,581 - KOTULO - - - - - Male - - - - - Female - - - - - LAFEY 1 9,086 9 ,518 3 ,002 6 ,566 - Male 9 ,087 4 ,534 1 ,586 2 ,967 - Female 9 ,998 4 ,984 1 ,415 3 ,599 - MANDERA CENTRAL 4 9,131 8 ,649 7 ,030 3 3,415 3 7 Male 2 2,742 4 ,173 4 ,180 1 4,369 2 0 Female 2 6,387 4 ,476 2 ,850 1 9,044 1 7 MANDERA EAST 9 6,170 2 1,197 1 8,058 5 6,915 - Male 5 0,189 1 1,727 1 0,716 2 7,746 - Female 4 5,977 9 ,469 7 ,342 2 9,166 - MANDERA NORTH 2 8,330 7 ,197 4 ,125 1 7,008 - Male 1 4,654 3 ,849 2 ,598 8 ,207 - Female 1 3,676 3 ,348 1 ,527 8 ,801 - MARSABIT 8 9,407 2 2,456 1 5,723 5 1,228 - Male 4 5,390 1 3,167 9 ,581 2 2,642 - Female 4 4,015 9 ,289 6 ,142 2 8,584 - LOIYANGALANI 4 ,172 1 ,032 5 86 2 ,554 - Male 1 ,841 4 70 3 06 1 ,065 - Female 2 ,331 5 62 2 80 1 ,489 - MARSABIT CENTRAL 3 0,583 8 ,793 5 ,290 1 6,500 - Male 1 5,715 5 ,338 3 ,159 7 ,218 - Female 1 4,866 3 ,455 2 ,131 9 ,280 - 186

Page 200

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated MARSABIT NORTH - - - - - Male - - - - - Female - - - - - MARSABIT SOUTH 4 ,157 1 ,255 7 20 2 ,182 - Male 2 ,151 6 88 4 61 1 ,002 - Female 2 ,006 5 67 2 59 1 ,180 - MOYALE 3 9,723 7 ,642 7 ,999 2 4,082 - Male 2 0,020 4 ,510 4 ,859 1 0,651 - Female 1 9,703 3 ,132 3 ,140 1 3,431 - NORTH HORR 4 ,532 2 ,209 2 40 2 ,083 - Male 2 ,447 1 ,269 1 85 9 93 - Female 2 ,085 9 40 5 5 1 ,090 - SOLOLO 6 ,240 1 ,525 8 88 3 ,827 - Male 3 ,216 8 92 6 11 1 ,713 - Female 3 ,024 6 33 2 77 2 ,114 - ISIOLO 1 07,809 3 6,278 1 6,274 5 5,230 2 7 Male 5 4,139 1 9,754 9 ,814 2 4,556 1 5 Female 5 3,670 1 6,524 6 ,460 3 0,674 1 2 GARBATULLA 3 0,408 1 0,321 5 ,248 1 4,835 4 Male 1 5,967 5 ,514 3 ,430 7 ,019 4 Female 1 4,441 4 ,807 1 ,818 7 ,816 - ISIOLO 6 7,960 2 1,967 1 0,112 3 5,858 2 3 Male 3 3,290 1 2,052 5 ,775 1 5,452 1 1 Female 3 4,670 9 ,915 4 ,337 2 0,406 1 2 MERTI 9 ,441 3 ,990 9 14 4 ,537 - Male 4 ,882 2 ,188 6 09 2 ,085 - Female 4 ,559 1 ,802 3 05 2 ,452 - MERU 1 18,651 6 2,975 1 0,773 4 4,870 3 3 Male 5 7,006 3 2,406 5 ,493 1 9,087 2 0 Female 6 1,643 3 0,567 5 ,280 2 5,783 1 3 BUURI EAST 3 ,085 1 ,800 1 44 1 ,141 - Male 1 ,408 8 54 7 6 4 78 - Female 1 ,677 9 46 6 8 6 63 - BUURI WEST 9 ,080 4 ,401 1 ,055 3 ,623 1 Male 4 ,351 2 ,220 5 67 1 ,564 - Female 4 ,729 2 ,181 4 88 2 ,059 1 IGEMBE CENTRAL 1 ,588 8 04 1 79 6 05 - Male 7 74 4 26 9 1 2 57 - Female 8 14 3 78 8 8 3 48 - IGEMBE NORTH 5 ,299 2 ,260 7 77 2 ,262 - Male 2 ,584 1 ,219 4 19 9 46 - Female 2 ,715 1 ,041 3 58 1 ,316 - IGEMBE SOUTH 1 8,795 9 ,466 2 ,034 7 ,289 6 Male 8 ,869 4 ,843 9 79 3 ,044 3 Female 9 ,926 4 ,623 1 ,055 4 ,245 3 IMENTI NORTH 6 8,453 3 7,229 5 ,592 2 5,606 2 6 Male 3 3,321 1 9,375 2 ,902 1 1,027 1 7 Female 3 5,130 1 7,852 2 ,690 1 4,579 9 IMENTI SOUTH 1 0,933 6 ,279 8 74 3 ,780 - Male 5 ,029 3 ,104 4 01 1 ,524 - Female 5 ,904 3 ,175 4 73 2 ,256 - 187

Page 201

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated MERU CENTRAL - - - - - Male - - - - - Female - - - - - TIGANIA CENTRAL 1 ,418 7 36 1 18 5 64 - Male 6 70 3 65 5 8 2 47 - Female 7 48 3 71 6 0 3 17 - TIGANIA EAST - - - - - Male - - - - - Female - - - - - TIGANIA WEST - - - - - Male - - - - - Female - - - - - MERU NATIONAL PARK - - - - - Male - - - - - Female - - - - - MT. KENYA FOREST - - - - - Male - - - - - Female - - - - - THARAKA-NITHI 2 8,470 1 5,906 2 ,026 1 0,528 1 0 Male 1 3,853 7 ,967 1 ,108 4 ,774 4 Female 1 4,616 7 ,938 9 18 5 ,754 6 IGAMBANG’OMBE - - - - - Male - - - - - Female - - - - - MAARA 6 ,842 3 ,984 4 36 2 ,422 - Male 3 ,343 2 ,027 2 18 1 ,098 - Female 3 ,499 1 ,957 2 18 1 ,324 - MERU SOUTH 1 9,574 1 0,687 1 ,495 7 ,382 1 0 Male 9 ,523 5 ,310 8 44 3 ,365 4 Female 1 0,050 5 ,376 6 51 4 ,017 6 THARAKA NORTH - - - - - Male - - - - - Female - - - - - THARAKA SOUTH 2 ,054 1 ,235 9 5 7 24 - Male 9 87 6 30 4 6 3 11 - Female 1 ,067 6 05 4 9 4 13 - MOUNT KENYA FOREST - - - - - Male - - - - - Female - - - - - EMBU 6 5,152 3 6,919 4 ,303 2 3,921 9 Male 3 1,031 1 8,617 2 ,190 1 0,219 5 Female 3 4,112 1 8,294 2 ,113 1 3,701 4 EMBU EAST 4 ,298 2 ,467 2 59 1 ,572 - Male 2 ,062 1 ,224 1 54 6 84 - Female 2 ,236 1 ,243 1 05 8 88 - EMBU NORTH 3 40 1 95 1 8 1 27 - Male 1 76 1 03 1 2 6 1 - Female 1 64 9 2 6 6 6 - 188

Page 202

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated EMBU WEST 5 5,392 3 1,429 3 ,655 2 0,299 9 Male 2 6,321 1 5,878 1 ,819 8 ,619 5 Female 2 9,062 1 5,543 1 ,836 1 1,679 4 MBEERE SOUTH 7 62 4 12 1 0 3 40 - Male 3 51 2 03 8 1 40 - Female 4 11 2 09 2 2 00 - MBEERE NORTH 4 ,360 2 ,416 3 61 1 ,583 - Male 2 ,121 1 ,209 1 97 7 15 - Female 2 ,239 1 ,207 1 64 8 68 - MOUNT KENYA FOREST - - - - - Male - - - - - Female - - - - - KITUI 4 5,165 2 3,703 4 ,146 1 7,314 2 Male 2 1,149 1 1,839 1 ,891 7 ,418 1 Female 2 4,016 1 1,864 2 ,255 9 ,896 1 IKUTHA - - - - - Male - - - - - Female - - - - - KATULANI - - - - - Male - - - - - Female - - - - - KISASI - - - - - Male - - - - - Female - - - - - KITUI CENTRAL 2 4,087 1 2,357 2 ,559 9 ,171 - Male 1 1,366 6 ,273 1 ,137 3 ,956 - Female 1 2,721 6 ,084 1 ,422 5 ,215 - KITUI WEST 2 ,100 1 ,142 1 50 8 08 - Male 9 31 5 18 6 9 3 44 - Female 1 ,169 6 24 8 1 4 64 - KYUSO 1 ,452 8 61 1 00 4 91 - Male 6 44 3 99 3 9 2 06 - Female 8 08 4 62 6 1 2 85 - LOWER YATTA - - - - - Male - - - - - Female - - - - - MATINYANI - - - - - Male - - - - - Female - - - - - MIGWANI 7 43 4 34 2 2 2 87 - Male 3 47 1 95 1 3 1 39 - Female 3 96 2 39 9 1 48 - MUMONI - - - - - Male - - - - - Female - - - - - MUTITU - - - - - Male - - - - - Female - - - - - MUTITU NORTH - - - - - Male - - - - - Female - - - - - 189

Page 203

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated MUTOMO 1 ,410 8 44 7 6 4 90 - Male 6 74 4 29 4 2 2 03 - Female 7 36 4 15 3 4 2 87 - MWINGI CENTRAL 1 4,483 7 ,589 1 ,172 5 ,720 2 Male 6 ,776 3 ,786 5 60 2 ,429 1 Female 7 ,707 3 ,803 6 12 3 ,291 1 MWINGI EAST - - - - - Male - - - - - Female - - - - - NZAMBANI - - - - - Male - - - - - Female - - - - - THAGICU - - - - - Male - - - - - Female - - - - - TSEIKURU 8 90 4 76 6 7 3 47 - Male 4 11 2 39 3 1 1 41 - Female 4 79 2 37 3 6 2 06 - MACHAKOS 3 60,287 1 82,770 3 5,361 1 42,027 1 29 Male 1 78,523 1 00,237 1 8,401 5 9,820 6 5 Female 1 81,759 8 2,533 1 6,958 8 2,204 6 4 ATHI RIVER 2 41,700 1 19,303 2 6,158 9 6,121 1 18 Male 1 21,481 6 7,927 1 3,583 3 9,911 6 0 Female 1 20,218 5 1,376 1 2,574 5 6,210 5 8 KALAMA - - - - - Male - - - - - Female - - - - - KANGUNDO 9 ,105 4 ,801 9 38 3 ,366 - Male 4 ,497 2 ,288 6 40 1 ,569 - Female 4 ,608 2 ,513 2 98 1 ,797 - KATHIANI 3 ,768 2 ,075 2 65 1 ,428 - Male 1 ,823 1 ,000 1 28 6 95 - Female 1 ,945 1 ,075 1 37 7 33 - MACHAKOS 5 4,883 3 0,003 4 ,416 2 0,459 5 Male 2 6,345 1 5,337 2 ,197 8 ,809 2 Female 2 8,535 1 4,666 2 ,218 1 1,648 3 MASINGA 1 ,150 7 15 6 1 3 74 - Male 5 62 3 80 2 7 1 55 - Female 5 88 3 35 3 4 2 19 - MATUNGULU 2 8,599 1 4,605 1 ,904 1 2,086 4 Male 1 4,072 7 ,777 1 ,093 5 ,200 2 Female 1 4,526 6 ,828 8 11 6 ,885 2 MWALA 7 ,180 3 ,973 5 46 2 ,659 2 Male 3 ,361 1 ,907 2 69 1 ,184 1 Female 3 ,819 2 ,066 2 77 1 ,475 1 YATTA 1 3,902 7 ,295 1 ,073 5 ,534 - Male 6 ,382 3 ,621 4 64 2 ,297 - Female 7 ,520 3 ,674 6 09 3 ,237 - MAKUENI 6 2,825 3 3,608 5 ,662 2 3,546 9 Male 3 0,540 1 7,416 2 ,680 1 0,440 4 Female 3 2,285 1 6,192 2 ,982 1 3,106 5 190

Page 204

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KATHONZWENI 1 ,403 8 27 7 3 5 03 - Male 6 09 3 72 3 2 2 05 - Female 7 94 4 55 4 1 2 98 - KIBWEZI 1 0,920 5 ,558 1 ,071 4 ,288 3 Male 5 ,372 2 ,965 4 86 1 ,921 - Female 5 ,548 2 ,593 5 85 2 ,367 3 KILUNGU 2 ,011 1 ,031 1 36 8 44 - Male 9 82 4 87 9 1 4 04 - Female 1 ,029 5 44 4 5 4 40 - MAKINDU 1 6,141 7 ,950 1 ,660 6 ,530 1 Male 7 ,797 4 ,087 7 72 2 ,937 1 Female 8 ,344 3 ,863 8 88 3 ,593 - MAKUENI 1 6,643 9 ,825 1 ,327 5 ,490 1 Male 8 ,176 5 ,144 6 01 2 ,430 1 Female 8 ,467 4 ,681 7 26 3 ,060 - MBOONI EAST - - - - - Male - - - - - Female - - - - - MBOONI WEST 2 ,870 1 ,540 1 74 1 ,156 - Male 1 ,369 7 40 7 5 5 54 - Female 1 ,501 8 00 9 9 6 02 - MUKAA 4 ,462 2 ,201 4 11 1 ,848 2 Male 2 ,181 1 ,149 2 46 7 85 1 Female 2 ,281 1 ,052 1 65 1 ,063 1 NZAUI 8 ,375 4 ,676 8 10 2 ,887 2 Male 4 ,054 2 ,472 3 77 1 ,204 1 Female 4 ,321 2 ,204 4 33 1 ,683 1 NYANDARUA 5 7,483 3 2,854 2 ,250 2 2,377 2 Male 2 7,822 1 6,384 1 ,199 1 0,238 1 Female 2 9,658 1 6,469 1 ,051 1 2,137 1 KINANGOP 3 ,373 1 ,834 2 47 1 ,292 - Male 1 ,619 8 99 1 17 6 03 - Female 1 ,754 9 35 1 30 6 89 - NYANDARUA SOUTH 8 ,214 4 ,696 3 41 3 ,177 - Male 3 ,839 2 ,272 1 54 1 ,413 - Female 4 ,373 2 ,424 1 87 1 ,762 - MIRANGINE - - - - - Male - - - - - Female - - - - - KIPIPIRI 1 ,275 7 78 3 8 4 59 - Male 6 04 3 71 1 9 2 14 - Female 6 71 4 07 1 9 2 45 - NYANDARUA CENTRAL 1 1,318 6 ,824 3 23 4 ,169 2 Male 5 ,567 3 ,513 1 81 1 ,872 1 Female 5 ,751 3 ,311 1 42 2 ,297 1 NYANDARUA WEST 2 3,723 1 3,368 9 59 9 ,396 - Male 1 1,666 6 ,769 5 56 4 ,341 - Female 1 2,057 6 ,599 4 03 5 ,055 - NYANDARUA NORTH 9 ,580 5 ,354 3 42 3 ,884 - Male 4 ,527 2 ,560 1 72 1 ,795 - Female 5 ,052 2 ,793 1 70 2 ,089 - 191

Page 205

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated ABERDARE NATIONAL PARK - - - - - Male - - - - - Female - - - - - NYERI 1 30,216 7 3,549 7 ,940 4 8,710 1 7 Male 6 2,128 3 6,921 3 ,880 2 1,314 1 3 Female 6 8,086 3 6,628 4 ,059 2 7,395 4 TETU - - - - - Male - - - - - Female - - - - - KIENI EAST 1 8,881 1 0,346 1 ,315 7 ,217 3 Male 9 ,059 5 ,320 6 39 3 ,098 2 Female 9 ,822 5 ,026 6 76 4 ,119 1 KIENI WEST 7 ,371 4 ,294 2 61 2 ,815 1 Male 3 ,535 2 ,101 1 27 1 ,306 1 Female 3 ,836 2 ,193 1 34 1 ,509 - MATHIRA EAST 2 0,512 1 1,418 9 76 8 ,118 - Male 9 ,555 5 ,395 4 63 3 ,697 - Female 1 0,956 6 ,023 5 12 4 ,421 - MATHIRA WEST - - - - - Male - - - - - Female - - - - - NYERI SOUTH 5 ,766 3 ,414 2 82 2 ,070 - Male 2 ,558 1 ,603 1 31 8 24 - Female 3 ,208 1 ,811 1 51 1 ,246 - MUKURWE-INI 5 ,676 3 ,491 2 00 1 ,985 - Male 2 ,695 1 ,677 9 3 9 25 - Female 2 ,981 1 ,814 1 07 1 ,060 - NYERI CENTRAL 7 2,010 4 0,586 4 ,906 2 6,505 1 3 Male 3 4,726 2 0,825 2 ,427 1 1,464 1 0 Female 3 7,283 1 9,761 2 ,479 1 5,040 3 MT. KENYA FOREST - - - - - Male - - - - - Female - - - - - ABERDARE FOREST - - - - - Male - - - - - Female - - - - - KIRINYAGA 1 18,979 7 0,376 6 ,045 4 2,552 6 Male 5 5,877 3 3,808 2 ,919 1 9,147 3 Female 6 3,092 3 6,558 3 ,126 2 3,405 3 KIRINYAGA CENTRAL 2 9,224 1 8,027 1 ,328 9 ,869 - Male 1 3,678 8 ,597 6 59 4 ,422 - Female 1 5,546 9 ,430 6 69 5 ,447 - KIRINYAGA EAST 3 ,223 1 ,939 1 76 1 ,107 1 Male 1 ,478 8 80 1 01 4 97 - Female 1 ,745 1 ,059 7 5 6 10 1 KIRINYAGA WEST 1 9,411 1 1,470 1 ,007 6 ,934 - Male 8 ,914 5 ,408 4 68 3 ,038 - Female 1 0,495 6 ,060 5 39 3 ,896 - MWEA EAST 3 7,226 2 1,652 2 ,212 1 3,357 5 Male 1 7,294 1 0,455 1 ,004 5 ,832 3 Female 1 9,927 1 1,192 1 ,208 7 ,525 2 192

Page 206

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated MWEA WEST 2 9,895 1 7,288 1 ,322 1 1,285 - Male 1 4,513 8 ,468 6 87 5 ,358 - Female 1 5,379 8 ,817 6 35 5 ,927 - MOUNT KENYA FOREST - - - - - Male - - - - - Female - - - - - MURANG’A 1 02,640 5 7,163 6 ,287 3 9,183 7 Male 4 8,529 2 8,293 3 ,158 1 7,074 4 Female 5 4,110 2 8,869 3 ,129 2 2,109 3 MURANG’A EAST 3 7,028 2 1,350 1 ,980 1 3,698 - Male 1 7,516 1 0,570 9 23 6 ,023 - Female 1 9,512 1 0,780 1 ,057 7 ,675 - KANGEMA 5 ,635 3 ,448 2 40 1 ,947 - Male 2 ,714 1 ,675 1 33 9 06 - Female 2 ,921 1 ,773 1 07 1 ,041 - MATHIOYA 3 ,233 1 ,931 1 64 1 ,138 - Male 1 ,480 8 96 9 3 4 91 - Female 1 ,753 1 ,035 7 1 6 47 - KAHURO - - - - - Male - - - - - Female - - - - - MURANG’A SOUTH 4 1,010 2 1,716 2 ,886 1 6,403 5 Male 1 9,520 1 0,863 1 ,548 7 ,106 3 Female 2 1,489 1 0,852 1 ,338 9 ,297 2 GATANGA 2 ,247 1 ,201 7 2 9 74 - Male 1 ,071 6 14 3 1 4 26 - Female 1 ,176 5 87 4 1 5 48 - KIGUMO 3 ,550 2 ,118 2 37 1 ,195 - Male 1 ,662 1 ,055 9 9 5 08 - Female 1 ,888 1 ,063 1 38 6 87 - KANDARA 9 ,937 5 ,399 7 08 3 ,828 2 Male 4 ,566 2 ,620 3 31 1 ,614 1 Female 5 ,371 2 ,779 3 77 2 ,214 1 ABERDARE FOREST - - - - - Male - - - - - Female - - - - - KIAMBU 1 ,490,733 7 63,327 1 31,323 5 95,663 4 20 Male 7 22,072 4 01,567 6 7,226 2 53,064 2 15 Female 7 68,571 3 61,710 6 4,082 3 42,574 2 05 GATUNDU NORTH 1 ,551 7 14 1 79 6 58 - Male 6 97 3 20 9 7 2 80 - Female 8 54 3 94 8 2 3 78 - GATUNDU SOUTH 6 ,837 3 ,709 4 87 2 ,637 4 Male 3 ,165 1 ,747 2 32 1 ,185 1 Female 3 ,672 1 ,962 2 55 1 ,452 3 GITHUNGURI 1 8,525 9 ,921 1 ,506 7 ,090 8 Male 8 ,860 4 ,981 8 55 3 ,020 4 Female 9 ,665 4 ,940 6 51 4 ,070 4 JUJA 2 40,789 1 17,388 2 2,359 1 00,975 6 7 Male 1 18,128 6 2,834 1 1,453 4 3,807 3 4 Female 1 22,641 5 4,545 1 0,902 5 7,161 3 3 193

Page 207

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KABETE 1 76,195 9 3,682 1 4,276 6 8,188 4 9 Male 8 5,860 4 8,772 7 ,698 2 9,369 2 1 Female 9 0,321 4 4,902 6 ,575 3 8,816 2 8 KIAMBAA 2 03,790 1 04,352 1 9,390 7 9,970 7 8 Male 9 9,213 5 5,711 1 0,566 3 2,897 3 9 Female 1 04,567 4 8,638 8 ,821 4 7,069 3 9 KIAMBU 1 13,404 6 1,357 8 ,941 4 3,052 5 4 Male 5 3,121 3 0,733 4 ,250 1 8,108 3 0 Female 6 0,273 3 0,616 4 ,690 2 4,943 2 4 KIKUYU 1 09,669 5 8,161 9 ,136 4 2,356 1 6 Male 5 1,827 2 9,271 4 ,722 1 7,827 7 Female 5 7,839 2 8,888 4 ,413 2 4,529 9 LARI 6 ,060 3 ,275 3 42 2 ,442 1 Male 2 ,846 1 ,553 1 77 1 ,115 1 Female 3 ,214 1 ,722 1 65 1 ,327 - LIMURU 7 5,672 3 9,638 5 ,595 3 0,426 1 3 Male 3 7,360 2 0,867 3 ,000 1 3,484 9 Female 3 8,312 1 8,771 2 ,595 1 6,942 4 RUIRU 3 23,870 1 64,660 3 0,851 1 28,281 7 8 Male 1 56,826 8 7,894 1 5,070 5 3,819 4 3 Female 1 67,027 7 6,754 1 5,778 7 4,460 3 5 THIKA EAST 5 ,069 2 ,536 4 88 2 ,044 1 Male 2 ,482 1 ,385 2 52 8 45 - Female 2 ,587 1 ,151 2 36 1 ,199 1 THIKA WEST 2 09,302 1 03,934 1 7,773 8 7,544 5 1 Male 1 01,687 5 5,499 8 ,854 3 7,308 2 6 Female 1 07,599 4 8,427 8 ,919 5 0,228 2 5 TURKANA 1 19,321 2 4,938 2 5,950 6 8,382 5 1 Male 6 0,204 1 4,832 1 3,889 3 1,458 2 5 Female 5 9,116 1 0,106 1 2,061 3 6,923 2 6 KIBISH - - - - - Male - - - - - Female - - - - - LOIMA - - - - - Male - - - - - Female - - - - - TURKANA CENTRAL 6 9,876 1 6,097 1 3,618 4 0,117 4 4 Male 3 4,548 9 ,354 7 ,015 1 8,157 2 2 Female 3 5,328 6 ,743 6 ,603 2 1,960 2 2 TURKANA EAST - - - - - Male - - - - - Female - - - - - TURKANA NORTH - - - - - Male - - - - - Female - - - - - TURKANA SOUTH 2 0,080 3 ,249 4 ,704 1 2,126 1 Male 1 0,479 1 ,995 2 ,805 5 ,679 - Female 9 ,600 1 ,254 1 ,899 6 ,446 1 TURKANA WEST 2 9,365 5 ,592 7 ,628 1 6,139 6 Male 1 5,177 3 ,483 4 ,069 7 ,622 3 Female 1 4,188 2 ,109 3 ,559 8 ,517 3 194

Page 208

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated WEST POKOT 2 6,660 1 0,365 2 ,839 1 3,453 3 Male 1 2,880 5 ,462 1 ,336 6 ,079 3 Female 1 3,780 4 ,903 1 ,503 7 ,374 - KIPKOMO 2 ,636 1 ,107 2 61 1 ,268 - Male 1 ,275 5 93 1 45 5 37 - Female 1 ,361 5 14 1 16 7 31 - POKOT CENTRAL - - - - - Male - - - - - Female - - - - - POKOT NORTH - - - - - Male - - - - - Female - - - - - POKOT SOUTH - - - - - Male - - - - - Female - - - - - WEST POKOT 2 4,024 9 ,258 2 ,578 1 2,185 3 Male 1 1,605 4 ,869 1 ,191 5 ,542 3 Female 1 2,419 4 ,389 1 ,387 6 ,643 - SAMBURU 3 9,483 1 4,700 4 ,212 2 0,569 2 Male 1 9,579 7 ,978 2 ,327 9 ,273 1 Female 1 9,904 6 ,722 1 ,885 1 1,296 1 SAMBURU CENTRAL 2 8,336 1 1,364 2 ,535 1 4,436 1 Male 1 4,109 6 ,146 1 ,473 6 ,489 1 Female 1 4,227 5 ,218 1 ,062 7 ,947 - SAMBURU EAST 7 ,569 2 ,240 1 ,188 4 ,141 - Male 3 ,742 1 ,221 6 48 1 ,873 - Female 3 ,827 1 ,019 5 40 2 ,268 - SAMBURU NORTH 3 ,578 1 ,096 4 89 1 ,992 1 Male 1 ,728 6 11 2 06 9 11 - Female 1 ,850 4 85 2 83 1 ,081 1 TRANS NZOIA 1 52,884 6 4,215 1 1,301 7 7,344 2 4 Male 7 4,619 3 4,224 5 ,900 3 4,482 1 3 Female 7 8,262 2 9,990 5 ,401 4 2,860 1 1 TRANS NZOIA WEST 6 5,147 2 7,429 5 ,406 3 2,291 2 1 Male 3 2,335 1 5,344 2 ,592 1 4,387 1 2 Female 3 2,811 1 2,085 2 ,814 1 7,903 9 TRANS NZOIA EAST - - - - - Male - - - - - Female - - - - - KWANZA 3 7,159 1 4,792 2 ,903 1 9,463 1 Male 1 8,184 7 ,767 1 ,569 8 ,847 1 Female 1 8,975 7 ,025 1 ,334 1 0,616 - ENDEBESS - - - - - Male - - - - - Female - - - - - KIMININI 5 0,578 2 1,994 2 ,992 2 5,590 2 Male 2 4,100 1 1,113 1 ,739 1 1,248 - Female 2 6,476 1 0,880 1 ,253 1 4,341 2 195

Page 209

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated UASIN GISHU 4 39,243 1 90,665 4 2,629 2 05,881 6 8 Male 2 16,372 1 04,534 2 1,561 9 0,243 3 4 Female 2 22,857 8 6,123 2 1,065 1 15,635 3 4 AINABKOI 5 0,837 2 1,877 4 ,544 2 4,407 9 Male 2 4,480 1 1,448 2 ,259 1 0,768 5 Female 2 6,357 1 0,429 2 ,285 1 3,639 4 KAPSERET 1 34,464 5 9,625 1 1,580 6 3,229 3 0 Male 6 7,182 3 3,057 6 ,017 2 8,091 1 7 Female 6 7,278 2 6,564 5 ,563 3 5,138 1 3 KESSES 1 8,200 8 ,326 1 ,456 8 ,415 3 Male 9 ,014 4 ,419 8 11 3 ,783 1 Female 9 ,186 3 ,907 6 45 4 ,632 2 MOIBEN 6 2,581 2 7,149 7 ,242 2 8,179 1 1 Male 3 0,075 1 4,548 3 ,570 1 1,953 4 Female 3 2,505 1 2,601 3 ,671 1 6,226 7 SOY 4 8,009 2 0,654 4 ,688 2 2,667 - Male 2 3,963 1 1,166 2 ,539 1 0,258 - Female 2 4,043 9 ,488 2 ,147 1 2,408 - TURBO 1 25,152 5 3,034 1 3,119 5 8,984 1 5 Male 6 1,658 2 9,896 6 ,365 2 5,390 7 Female 6 3,488 2 3,134 6 ,754 3 3,592 8 ELGEYO/MARAKWET 1 7,717 7 ,864 1 ,665 8 ,182 6 Male 8 ,507 3 ,968 8 91 3 ,643 5 Female 9 ,207 3 ,896 7 74 4 ,536 1 KEIYO NORTH 1 0,976 4 ,949 1 ,146 4 ,881 - Male 5 ,260 2 ,536 6 02 2 ,122 - Female 5 ,716 2 ,413 5 44 2 ,759 - KEIYO SOUTH - - - - - Male - - - - - Female - - - - - MARAKWET EAST - - - - - Male - - - - - Female - - - - - MARAKWET WEST 6 ,741 2 ,915 5 19 3 ,301 6 Male 3 ,247 1 ,432 2 89 1 ,521 5 Female 3 ,491 1 ,483 2 30 1 ,777 1 NANDI 5 1,203 2 4,458 3 ,979 2 2,766 - Male 2 5,237 1 2,803 2 ,130 1 0,304 - Female 2 5,964 1 1,653 1 ,849 1 2,462 - CHESUMEI 2 1,211 1 0,018 1 ,767 9 ,426 - Male 1 0,325 5 ,184 9 24 4 ,217 - Female 1 0,886 4 ,834 8 43 5 ,209 - NANDI CENTRAL 2 0,877 1 0,010 1 ,633 9 ,234 - Male 1 0,435 5 ,297 8 79 4 ,259 - Female 1 0,440 4 ,711 7 54 4 ,975 - NANDI EAST 6 ,941 3 ,370 4 97 3 ,074 - Male 3 ,424 1 ,796 2 69 1 ,359 - Female 3 ,517 1 ,574 2 28 1 ,715 - 196

Page 210

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated NANDI NORTH 1 ,366 7 09 4 9 6 08 - Male 6 59 3 62 2 6 2 71 - Female 7 07 3 47 2 3 3 37 - NANDI SOUTH 8 08 3 51 3 3 4 24 - Male 3 94 1 64 3 2 1 98 - Female 4 14 1 87 1 2 26 - TINDERET - - - - - Male - - - - - Female - - - - - BARINGO 6 3,699 2 8,569 5 ,575 2 9,551 4 Male 3 0,786 1 4,662 2 ,923 1 3,200 1 Female 3 2,912 1 3,907 2 ,652 1 6,350 3 BARINGO CENTRAL 1 8,909 8 ,090 1 ,683 9 ,136 - Male 9 ,074 4 ,177 9 51 3 ,946 - Female 9 ,835 3 ,913 7 32 5 ,190 - BARINGO NORTH 7 66 4 05 4 8 3 13 - Male 3 96 2 28 2 6 1 42 - Female 3 70 1 77 2 2 1 71 - EAST POKOT - - - - - Male - - - - - Female - - - - - KOIBATEK 2 8,404 1 3,787 1 ,798 1 2,815 4 Male 1 3,859 7 ,016 9 76 5 ,866 1 Female 1 4,545 6 ,771 8 22 6 ,949 3 MARIGAT 7 ,807 3 ,074 1 ,101 3 ,632 - Male 3 ,737 1 ,593 5 25 1 ,619 - Female 4 ,070 1 ,481 5 76 2 ,013 - MOGOTIO 7 ,813 3 ,213 9 45 3 ,655 - Male 3 ,720 1 ,648 4 45 1 ,627 - Female 4 ,092 1 ,565 5 00 2 ,027 - TIATY EAST - - - - - Male - - - - - Female - - - - - LAIKIPIA 1 08,748 5 5,901 8 ,380 4 4,454 1 3 Male 5 2,814 2 9,058 4 ,350 1 9,396 1 0 Female 5 5,930 2 6,840 4 ,029 2 5,058 3 LAIKIPIA CENTRAL 2 3,559 1 2,115 1 ,501 9 ,942 1 Male 1 1,164 6 ,127 8 39 4 ,198 - Female 1 2,395 5 ,988 6 62 5 ,744 1 LAIKIPIA EAST 3 4,578 1 7,612 3 ,134 1 3,824 8 Male 1 7,347 9 ,987 1 ,568 5 ,786 6 Female 1 7,229 7 ,623 1 ,566 8 ,038 2 LAIKIPIA NORTH - - - - - Male - - - - - Female - - - - - LAIKIPIA WEST 1 2,422 6 ,085 1 ,173 5 ,160 4 Male 6 ,158 3 ,209 6 15 2 ,330 4 Female 6 ,263 2 ,876 5 57 2 ,830 - NYAHURURU 3 8,189 2 0,089 2 ,572 1 5,528 - Male 1 8,145 9 ,735 1 ,328 7 ,082 - Female 2 0,043 1 0,353 1 ,244 8 ,446 - 197

Page 211

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated NAKURU 9 01,460 4 29,404 6 5,674 4 06,220 1 62 Male 4 40,939 2 24,915 3 4,515 1 81,423 8 6 Female 4 60,460 2 04,459 3 1,152 2 24,773 7 6 GILGIL 6 4,624 2 6,772 3 ,640 3 4,193 1 9 Male 3 2,622 1 3,766 1 ,890 1 6,954 1 2 Female 3 1,999 1 3,004 1 ,750 1 7,238 7 KURESOI NORTH 9 ,447 4 ,567 4 84 4 ,391 5 Male 4 ,527 2 ,277 2 44 2 ,003 3 Female 4 ,920 2 ,290 2 40 2 ,388 2 KURESOI SOUTH 7 ,515 3 ,609 5 76 3 ,330 - Male 3 ,765 1 ,926 2 83 1 ,556 - Female 3 ,749 1 ,683 2 93 1 ,773 - MOLO 6 3,162 3 0,335 3 ,435 2 9,389 3 Male 3 1,077 1 5,174 2 ,014 1 3,887 2 Female 3 2,082 1 5,158 1 ,421 1 5,502 1 NAIVASHA 1 88,817 9 7,731 1 3,824 7 7,217 4 5 Male 9 2,413 5 1,835 7 ,210 3 3,345 2 3 Female 9 6,380 4 5,884 6 ,611 4 3,863 2 2 NAKURU EAST 1 67,065 7 8,274 1 1,886 7 6,849 5 6 Male 7 8,937 3 9,960 6 ,025 3 2,921 3 1 Female 8 8,120 3 8,310 5 ,861 4 3,924 2 5 NAKURU NORTH 1 31,676 6 2,723 8 ,803 6 0,134 1 6 Male 6 3,007 3 0,998 4 ,700 2 7,303 6 Female 6 8,659 3 1,722 4 ,101 3 2,826 1 0 NAKURU WEST 1 69,831 7 8,472 1 6,137 7 5,216 6 Male 8 6,448 4 5,338 8 ,386 3 2,721 3 Female 8 3,373 3 3,130 7 ,749 4 2,491 3 NJORO 5 4,039 2 5,301 3 ,427 2 5,306 5 Male 2 6,489 1 2,763 1 ,915 1 1,810 1 Female 2 7,549 1 2,537 1 ,512 1 3,496 4 RONGAI 3 4,707 1 6,086 2 ,941 1 5,676 4 Male 1 6,700 8 ,301 1 ,569 6 ,827 3 Female 1 8,006 7 ,784 1 ,372 8 ,849 1 SUBUKIA 1 0,577 5 ,534 5 21 4 ,519 3 Male 4 ,954 2 ,577 2 79 2 ,096 2 Female 5 ,623 2 ,957 2 42 2 ,423 1 NAROK 8 4,442 4 1,942 5 ,714 3 6,748 3 8 Male 4 1,368 2 2,389 2 ,857 1 6,100 2 2 Female 4 3,069 1 9,552 2 ,857 2 0,644 1 6 NAROK EAST 7 ,013 3 ,824 1 78 3 ,011 - Male 3 ,346 1 ,887 8 9 1 ,370 - Female 3 ,667 1 ,937 8 9 1 ,641 - NAROK NORTH 5 5,292 2 7,967 4 ,015 2 3,289 2 1 Male 2 7,303 1 5,185 1 ,996 1 0,110 1 2 Female 2 7,985 1 2,781 2 ,019 1 3,176 9 NAROK SOUTH 7 ,166 3 ,355 6 10 3 ,196 5 Male 3 ,527 1 ,801 3 75 1 ,346 5 Female 3 ,639 1 ,554 2 35 1 ,850 - NAROK WEST - - - - - Male - - - - - Female - - - - - 198

Page 212

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated TRANS MARA EAST - - - - - Male - - - - - Female - - - - - TRANS MARA WEST 1 4,971 6 ,796 9 11 7 ,252 1 2 Male 7 ,192 3 ,516 3 97 3 ,274 5 Female 7 ,778 3 ,280 5 14 3 ,977 7 MAU FOREST - - - - - Male - - - - - Female - - - - - KAJIADO 5 39,767 2 59,435 5 7,588 2 22,515 2 29 Male 2 63,976 1 40,953 2 6,899 9 6,030 9 4 Female 2 75,773 1 18,473 3 0,688 1 26,477 1 35 ISINYA 1 48,600 7 3,967 1 9,569 5 4,930 1 34 Male 7 2,452 4 0,417 8 ,294 2 3,686 5 5 Female 7 6,143 3 3,548 1 1,274 3 1,242 7 9 KAJIADO CENTRAL 4 1,081 1 8,676 3 ,591 1 8,812 2 Male 2 0,340 1 0,336 1 ,782 8 ,222 - Female 2 0,741 8 ,340 1 ,809 1 0,590 2 KAJIADO NORTH 2 68,632 1 28,335 2 6,295 1 13,921 8 1 Male 1 31,145 6 9,543 1 2,889 4 8,678 3 5 Female 1 37,476 5 8,786 1 3,406 6 5,238 4 6 KAJIADO WEST 4 0,228 1 9,342 3 ,615 1 7,267 4 Male 2 0,091 1 0,652 1 ,774 7 ,663 2 Female 2 0,135 8 ,689 1 ,841 9 ,603 2 LOITOKITOK 2 8,470 1 3,762 2 ,675 1 2,027 6 Male 1 3,687 7 ,078 1 ,210 5 ,397 2 Female 1 4,783 6 ,684 1 ,465 6 ,630 4 MASHUURU 1 2,756 5 ,353 1 ,843 5 ,558 2 Male 6 ,261 2 ,927 9 50 2 ,384 - Female 6 ,495 2 ,426 8 93 3 ,174 2 KERICHO 7 9,095 4 0,987 4 ,801 3 3,272 3 5 Male 3 9,925 2 2,716 2 ,488 1 4,700 2 1 Female 3 9,164 1 8,266 2 ,312 1 8,572 1 4 BELGUT 1 ,695 8 55 1 08 7 32 - Male 8 68 4 63 7 3 3 32 - Female 8 27 3 92 3 5 4 00 - BURETI 1 3,527 7 ,004 6 40 5 ,881 2 Male 6 ,684 3 ,740 3 65 2 ,577 2 Female 6 ,843 3 ,264 2 75 3 ,304 - KERICHO EAST 5 2,252 2 7,398 3 ,312 2 1,509 3 3 Male 2 6,757 1 5,613 1 ,661 9 ,464 1 9 Female 2 5,491 1 1,782 1 ,650 1 2,045 1 4 KIPKELION 1 ,047 5 34 4 0 4 73 - Male 5 25 2 72 1 7 2 36 - Female 5 22 2 62 2 3 2 37 - LONDIANI 6 ,381 3 ,387 3 83 2 ,611 - Male 3 ,094 1 ,725 2 16 1 ,153 - Female 3 ,285 1 ,660 1 67 1 ,458 - SOIN SIGOWET 4 ,193 1 ,809 3 18 2 ,066 - Male 1 ,997 9 03 1 56 9 38 - Female 2 ,196 9 06 1 62 1 ,128 - 199

Page 213

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated BOMET 2 2,853 1 2,014 1 ,322 9 ,512 5 Male 1 1,299 6 ,458 6 41 4 ,197 3 Female 1 1,554 5 ,556 6 81 5 ,315 2 BOMET EAST 3 ,493 1 ,741 2 11 1 ,541 - Male 1 ,671 9 19 1 02 6 50 - Female 1 ,822 8 22 1 09 8 91 - CHEPALUNGU - - - - - Male - - - - - Female - - - - - KONOIN 1 ,621 8 74 5 6 6 91 - Male 8 37 4 94 2 6 3 17 - Female 7 84 3 80 3 0 3 74 - SOTIK 5 ,916 2 ,954 4 89 2 ,473 - Male 2 ,991 1 ,626 2 32 1 ,133 - Female 2 ,925 1 ,328 2 57 1 ,340 - BOMET CENTRAL 1 1,823 6 ,445 5 66 4 ,807 5 Male 5 ,800 3 ,419 2 81 2 ,097 3 Female 6 ,023 3 ,026 2 85 2 ,710 2 KAKAMEGA 1 60,779 7 0,825 1 1,080 7 8,839 3 5 Male 7 7,599 3 5,885 5 ,691 3 6,010 1 3 Female 8 3,176 3 4,939 5 ,389 4 2,826 2 2 BUTERE 6 ,639 2 ,766 3 82 3 ,486 5 Male 3 ,070 1 ,298 1 93 1 ,577 2 Female 3 ,568 1 ,468 1 89 1 ,908 3 KAKAMEGA CENTRAL 9 2,100 4 1,992 6 ,138 4 3,940 3 0 Male 4 5,276 2 1,890 3 ,251 2 0,124 1 1 Female 4 6,823 2 0,102 2 ,887 2 3,815 1 9 KAKAMEGA EAST 3 ,443 1 ,626 2 06 1 ,611 - Male 1 ,623 7 45 9 5 7 83 - Female 1 ,820 8 81 1 11 8 28 - KAKAMEGA NORTH 5 ,906 2 ,909 3 86 2 ,611 - Male 2 ,758 1 ,418 1 65 1 ,175 - Female 3 ,148 1 ,491 2 21 1 ,436 - KAKAMEGA SOUTH 8 42 3 71 2 7 4 44 - Male 4 25 1 68 1 6 2 41 - Female 4 17 2 03 1 1 2 03 - KHWISERO 6 66 2 92 4 2 3 32 - Male 2 75 1 33 1 7 1 25 - Female 3 90 1 58 2 5 2 07 - LIKUYANI 7 ,412 3 ,155 4 07 3 ,850 - Male 3 ,520 1 ,533 2 52 1 ,735 - Female 3 ,891 1 ,622 1 55 2 ,114 - LUGARI 9 64 5 07 2 5 4 32 - Male 4 47 2 59 1 1 1 77 - Female 5 17 2 48 1 4 2 55 - MATETE - - - - - Male - - - - - Female - - - - - MATUNGU 1 ,072 3 61 5 9 6 52 - Male 4 75 1 88 4 1 2 46 - Female 5 97 1 73 1 8 4 06 - 200

Page 214

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated MUMIAS EAST 1 1,718 4 ,713 7 56 6 ,249 - Male 5 ,472 2 ,199 4 06 2 ,867 - Female 6 ,246 2 ,514 3 50 3 ,382 - MUMIAS WEST 3 0,017 1 2,133 2 ,652 1 5,232 - Male 1 4,258 6 ,054 1 ,244 6 ,960 - Female 1 5,759 6 ,079 1 ,408 8 ,272 - NAVAKHOLO - - - - - Male - - - - - Female - - - - - VIHIGA 5 1,067 2 4,386 2 ,568 2 4,098 1 5 Male 2 4,303 1 1,631 1 ,463 1 1,201 8 Female 2 6,764 1 2,755 1 ,105 1 2,897 7 EMUHAYA 1 ,796 8 93 8 1 8 22 - Male 8 26 4 26 4 7 3 53 - Female 9 70 4 67 3 4 4 69 - VIHIGA 1 6,908 8 ,233 8 63 7 ,797 1 5 Male 8 ,062 3 ,956 4 67 3 ,631 8 Female 8 ,846 4 ,277 3 96 4 ,166 7 SABATIA 1 9,810 9 ,549 1 ,020 9 ,241 - Male 9 ,417 4 ,473 5 99 4 ,345 - Female 1 0,393 5 ,076 4 21 4 ,896 - LUANDA 9 ,790 4 ,573 4 26 4 ,791 - Male 4 ,672 2 ,228 2 18 2 ,226 - Female 5 ,118 2 ,345 2 08 2 ,565 - HAMISI 2 ,763 1 ,138 1 78 1 ,447 - Male 1 ,326 5 48 1 32 6 46 - Female 1 ,437 5 90 4 6 8 01 - KAKAMEGA FOREST - - - - - Male - - - - - Female - - - - - BUNGOMA 1 63,607 7 0,943 9 ,935 8 2,713 1 6 Male 7 8,155 3 4,891 5 ,377 3 7,879 8 Female 8 5,447 3 6,052 4 ,558 4 4,829 8 BUMULA - - - - - Male - - - - - Female - - - - - BUNGOMA CENTRAL 8 ,420 3 ,807 3 26 4 ,287 - Male 3 ,799 1 ,778 1 92 1 ,829 - Female 4 ,621 2 ,029 1 34 2 ,458 - BUNGOMA EAST 1 8,026 7 ,881 1 ,047 9 ,098 - Male 8 ,840 3 ,921 5 47 4 ,372 - Female 9 ,185 3 ,960 5 00 4 ,725 - BUNGOMA NORTH - - - - - Male - - - - - Female - - - - - BUNGOMA SOUTH 5 8,021 2 5,126 4 ,650 2 8,236 9 Male 2 7,418 1 2,732 2 ,484 1 2,200 2 Female 3 0,601 1 2,394 2 ,166 1 6,034 7 CHEPTAIS 3 ,758 1 ,574 1 84 1 ,995 5 Male 1 ,818 7 81 1 11 9 21 5 Female 1 ,940 7 93 7 3 1 ,074 - 201

Page 215

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KIMILILI 4 8,767 2 0,286 2 ,431 2 6,048 2 Male 2 3,558 9 ,625 1 ,357 1 2,575 1 Female 2 5,208 1 0,661 1 ,074 1 3,472 1 MT ELGON 6 ,123 2 ,588 2 18 3 ,317 - Male 2 ,970 1 ,276 1 48 1 ,546 - Female 3 ,152 1 ,312 7 0 1 ,770 - BUNGOMA WEST 1 ,764 7 76 1 00 8 88 - Male 8 21 3 70 4 5 4 06 - Female 9 43 4 06 5 5 4 82 - TONGAREN - - - - - Male - - - - - Female - - - - - WEBUYE WEST 1 8,728 8 ,905 9 79 8 ,844 - Male 8 ,931 4 ,408 4 93 4 ,030 - Female 9 ,797 4 ,497 4 86 4 ,814 - MT ELGON FOREST - - - - - Male - - - - - Female - - - - - BUSIA 9 4,292 4 0,682 6 ,903 4 6,680 2 7 Male 4 4,388 2 0,543 3 ,281 2 0,550 1 4 Female 4 9,904 2 0,139 3 ,622 2 6,130 1 3 BUNYALA 1 0,443 5 ,062 2 55 5 ,126 - Male 5 ,028 2 ,574 1 34 2 ,320 - Female 5 ,415 2 ,488 1 21 2 ,806 - BUSIA 3 3,300 1 3,546 3 ,441 1 6,286 2 7 Male 1 5,700 6 ,976 1 ,539 7 ,171 1 4 Female 1 7,600 6 ,570 1 ,902 9 ,115 1 3 BUTULA 7 67 3 60 3 9 3 68 - Male 3 23 1 66 2 0 1 37 - Female 4 44 1 94 1 9 2 31 - NAMBALE 3 ,424 1 ,384 1 75 1 ,865 - Male 1 ,510 6 65 8 1 7 64 - Female 1 ,914 7 19 9 4 1 ,101 - SAMIA 3 ,116 1 ,406 1 58 1 ,552 - Male 1 ,422 6 17 7 8 7 27 - Female 1 ,694 7 89 8 0 8 25 - TESO NORTH 1 6,328 7 ,767 7 53 7 ,808 - Male 7 ,693 3 ,836 3 13 3 ,544 - Female 8 ,635 3 ,931 4 40 4 ,264 - TESO SOUTH 2 6,914 1 1,157 2 ,082 1 3,675 - Male 1 2,712 5 ,709 1 ,116 5 ,887 - Female 1 4,202 5 ,448 9 66 7 ,788 - SIAYA 7 3,252 3 2,661 4 ,057 3 6,490 4 4 Male 3 3,966 1 5,907 1 ,781 1 6,254 2 4 Female 3 9,284 1 6,753 2 ,276 2 0,235 2 0 SIAYA 2 8,379 1 2,726 1 ,505 1 4,129 1 9 Male 1 3,277 6 ,198 7 15 6 ,354 1 0 Female 1 5,102 6 ,528 7 90 7 ,775 9 GEM 2 ,846 1 ,362 1 32 1 ,352 - Male 1 ,324 6 47 5 5 6 22 - Female 1 ,522 7 15 7 7 7 30 - 202

Page 216

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated UGENYA 4 ,735 2 ,009 2 51 2 ,468 7 Male 2 ,088 9 12 1 12 1 ,060 4 Female 2 ,646 1 ,097 1 39 1 ,407 3 UGUNJA 7 ,326 3 ,452 3 01 3 ,573 - Male 3 ,329 1 ,671 1 27 1 ,531 - Female 3 ,997 1 ,781 1 74 2 ,042 - BONDO 2 6,426 1 1,539 1 ,655 1 3,214 1 8 Male 1 2,423 5 ,733 6 74 6 ,006 1 0 Female 1 4,002 5 ,805 9 81 7 ,208 8 RARIEDA 3 ,540 1 ,573 2 13 1 ,754 - Male 1 ,525 7 46 9 8 6 81 - Female 2 ,015 8 27 1 15 1 ,073 - KISUMU 3 78,702 1 61,192 2 9,179 1 88,173 1 58 Male 1 84,020 8 6,511 1 4,417 8 3,013 7 9 Female 1 94,669 7 4,670 1 4,762 1 05,158 7 9 KISUMU EAST 1 43,744 6 1,241 1 2,212 7 0,232 5 9 Male 7 0,690 3 3,242 6 ,029 3 1,392 2 7 Female 7 3,051 2 7,997 6 ,183 3 8,839 3 2 KISUMU CENTRAL 1 50,284 6 5,426 1 1,351 7 3,449 5 8 Male 7 1,884 3 4,744 5 ,484 3 1,627 2 9 Female 7 8,396 3 0,678 5 ,867 4 1,822 2 9 KISUMU WEST 5 3,703 2 1,389 3 ,665 2 8,624 2 5 Male 2 6,787 1 1,796 1 ,912 1 3,063 1 6 Female 2 6,914 9 ,591 1 ,753 1 5,561 9 SEME - - - - - Male - - - - - Female - - - - - MUHORONI 9 ,128 3 ,844 6 56 4 ,615 1 3 Male 4 ,630 2 ,313 3 39 1 ,972 6 Female 4 ,498 1 ,531 3 17 2 ,643 7 NYANDO 1 5,857 6 ,683 9 86 8 ,185 3 Male 7 ,267 3 ,214 5 02 3 ,550 1 Female 8 ,586 3 ,466 4 84 4 ,634 2 NYAKACH 5 ,986 2 ,609 3 09 3 ,068 - Male 2 ,762 1 ,202 1 51 1 ,409 - Female 3 ,224 1 ,407 1 58 1 ,659 - HOMA BAY 9 4,627 4 1,240 5 ,358 4 8,014 1 5 Male 4 4,163 2 0,732 2 ,393 2 1,031 7 Female 5 0,462 2 0,507 2 ,964 2 6,983 8 HOMA BAY 4 4,687 1 9,119 2 ,636 2 2,919 1 3 Male 2 0,780 9 ,593 1 ,173 1 0,008 6 Female 2 3,906 9 ,526 1 ,462 1 2,911 7 NDHIWA 3 ,962 1 ,729 2 43 1 ,990 - Male 1 ,786 8 40 9 9 8 47 - Female 2 ,176 8 89 1 44 1 ,143 - RACHUONYO NORTH 5 ,008 2 ,293 2 29 2 ,486 - Male 2 ,394 1 ,174 1 18 1 ,102 - Female 2 ,614 1 ,119 1 11 1 ,384 - RACHUONYO EAST - - - - - Male - - - - - Female - - - - - 203

Page 217

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated RACHUONYO SOUTH 1 6,717 7 ,092 1 ,193 8 ,431 1 Male 7 ,653 3 ,378 5 04 3 ,771 - Female 9 ,064 3 ,714 6 89 4 ,660 1 RANGWE - - - - - Male - - - - - Female - - - - - SUBA NORTH 1 2,281 5 ,504 4 86 6 ,291 - Male 5 ,891 2 ,917 2 18 2 ,756 - Female 6 ,389 2 ,586 2 68 3 ,535 - SUBA SOUTH 1 1,972 5 ,503 5 71 5 ,897 1 Male 5 ,659 2 ,830 2 81 2 ,547 1 Female 6 ,313 2 ,673 2 90 3 ,350 - MIGORI 1 40,739 5 6,376 9 ,790 7 4,557 1 6 Male 6 6,883 2 8,782 4 ,849 3 3,246 6 Female 7 3,855 2 7,594 4 ,941 4 1,310 1 0 AWENDO 1 4,394 5 ,918 7 62 7 ,714 - Male 7 ,134 3 ,345 4 08 3 ,381 - Female 7 ,260 2 ,573 3 54 4 ,333 - KURIA EAST - - - - - Male - - - - - Female - - - - - KURIA WEST 3 8,833 1 5,553 2 ,972 2 0,302 6 Male 1 8,814 7 ,882 1 ,629 9 ,301 2 Female 2 0,018 7 ,671 1 ,343 1 1,000 4 NYATIKE 9 ,893 4 ,276 6 52 4 ,965 - Male 4 ,650 2 ,178 3 09 2 ,163 - Female 5 ,243 2 ,098 3 43 2 ,802 - RONGO 1 7,603 6 ,384 1 ,363 9 ,854 2 Male 8 ,114 3 ,128 7 05 4 ,281 - Female 9 ,489 3 ,256 6 58 5 ,573 2 SUNA EAST 2 4,702 1 0,504 1 ,746 1 2,444 8 Male 1 1,548 5 ,311 7 28 5 ,505 4 Female 1 3,154 5 ,193 1 ,018 6 ,939 4 SUNA WEST 3 5,314 1 3,741 2 ,295 1 9,278 - Male 1 6,623 6 ,938 1 ,070 8 ,615 - Female 1 8,691 6 ,803 1 ,225 1 0,663 - URIRI - - - - - Male - - - - - Female - - - - - KISII 1 30,177 5 7,246 8 ,967 6 3,949 1 5 Male 6 2,733 2 9,565 4 ,791 2 8,369 8 Female 6 7,436 2 7,678 4 ,174 3 5,577 7 ETAGO - - - - - Male - - - - - Female - - - - - GUCHA 3 ,336 1 ,543 1 48 1 ,645 - Male 1 ,525 7 02 6 6 7 57 - Female 1 ,811 8 41 8 2 8 88 - GUCHA SOUTH 2 ,447 1 ,256 8 9 1 ,102 - Male 1 ,136 5 64 3 7 5 35 - Female 1 ,311 6 92 5 2 5 67 - 204

Page 218

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KENYENYA 8 ,463 3 ,441 6 81 4 ,337 4 Male 4 ,048 1 ,710 3 32 2 ,004 2 Female 4 ,415 1 ,731 3 49 2 ,333 2 KISII CENTRAL 4 6,437 1 9,624 3 ,455 2 3,355 3 Male 2 2,671 1 0,362 1 ,922 1 0,386 1 Female 2 3,764 9 ,262 1 ,532 1 2,968 2 KISII SOUTH 1 1,861 5 ,099 5 06 6 ,255 1 Male 5 ,509 2 ,401 3 26 2 ,781 1 Female 6 ,352 2 ,698 1 80 3 ,474 - KITUTU CENTRAL 5 1,399 2 3,512 3 ,759 2 4,121 7 Male 2 4,905 1 2,472 1 ,967 1 0,462 4 Female 2 6,489 1 1,038 1 ,791 1 3,657 3 MARANI - - - - - Male - - - - - Female - - - - - MASABA SOUTH 4 ,091 1 ,829 2 48 2 ,014 - Male 1 ,951 9 06 1 15 9 30 - Female 2 ,139 9 22 1 33 1 ,084 - NYAMACHE 2 ,143 9 42 8 1 1 ,120 - Male 9 88 4 48 2 6 5 14 - Female 1 ,155 4 94 5 5 6 06 - SAMETA - - - - - Male - - - - - Female - - - - - NYAMIRA 4 1,014 1 7,052 2 ,775 2 1,179 8 Male 1 9,609 8 ,481 1 ,450 9 ,675 3 Female 2 1,405 8 ,571 1 ,325 1 1,504 5 BORABU 7 ,431 2 ,463 9 07 4 ,061 - Male 3 ,595 1 ,324 4 50 1 ,821 - Female 3 ,836 1 ,139 4 57 2 ,240 - MANGA 1 ,756 7 96 9 7 8 63 - Male 8 60 3 93 4 4 4 23 - Female 8 96 4 03 5 3 4 40 - MASABA NORTH 6 ,502 2 ,811 4 40 3 ,251 - Male 3 ,055 1 ,344 1 95 1 ,516 - Female 3 ,447 1 ,467 2 45 1 ,735 - NYAMIRA NORTH 1 ,254 5 12 8 1 6 61 - Male 6 08 2 59 5 0 2 99 - Female 6 46 2 53 3 1 3 62 - NYAMIRA SOUTH 2 4,071 1 0,470 1 ,250 1 2,343 8 Male 1 1,491 5 ,161 7 11 5 ,616 3 Female 1 2,580 5 ,309 5 39 6 ,727 5 NAIROBI CITY 3 ,814,871 1 ,812,311 4 22,288 1 ,578,696 1 ,576 Male 1 ,888,886 1 ,030,840 2 03,434 6 53,821 7 91 Female 1 ,925,799 7 81,389 2 18,822 9 24,806 7 82 DAGORETTI 3 78,448 1 82,767 4 0,294 1 55,215 1 72 Male 1 89,576 1 07,246 1 9,499 6 2,745 8 6 Female 1 88,848 7 5,508 2 0,794 9 2,460 8 6 EMBAKASI 8 57,691 4 11,983 1 01,012 3 44,410 2 86 Male 4 26,408 2 39,766 4 7,688 1 38,807 1 47 Female 4 31,246 1 72,196 5 3,319 2 05,593 1 38 205

Page 219

Table 2.8b: Distribution of Urban Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Persons Seeking Work/No outside the Sub-County/Sex1 Total Working Work Available Labour Force2 Not Stated KAMUKUNJI 2 29,722 9 6,482 3 1,149 1 01,952 1 39 Male 1 15,607 5 7,014 1 6,058 4 2,465 7 0 Female 1 14,109 3 9,462 1 5,091 5 9,487 6 9 KASARANI 6 75,307 3 28,353 7 1,977 2 74,754 2 23 Male 3 26,583 1 77,938 3 3,598 1 14,939 1 08 Female 3 48,692 1 50,404 3 8,374 1 59,799 1 15 KIBRA 1 61,903 6 9,420 1 9,254 7 3,180 4 9 Male 8 2,065 4 1,077 9 ,775 3 1,190 2 3 Female 7 9,831 2 8,339 9 ,479 4 1,987 2 6 LANG’ATA 1 73,427 8 3,422 1 4,024 7 5,905 7 6 Male 8 3,860 4 5,203 6 ,660 3 1,965 3 2 Female 8 9,559 3 8,216 7 ,363 4 3,937 4 3 MAKADARA 1 68,569 8 2,935 2 1,994 6 3,598 4 2 Male 8 5,405 4 7,304 1 0,685 2 7,392 2 4 Female 8 3,155 3 5,629 1 1,307 3 6,201 1 8 MATHARE 1 79,170 8 4,898 2 2,837 7 1,332 1 03 Male 9 2,475 5 0,971 1 1,600 2 9,850 5 4 Female 8 6,682 3 3,923 1 1,231 4 1,479 4 9 NJIRU 5 42,946 2 55,777 5 4,134 2 32,796 2 39 Male 2 64,941 1 41,106 2 6,546 9 7,165 1 24 Female 2 77,978 1 14,665 2 7,581 1 35,618 1 14 STAREHE 1 74,671 7 8,295 1 9,418 7 6,805 1 53 Male 8 6,707 4 4,480 9 ,471 3 2,677 7 9 Female 8 7,955 3 3,810 9 ,945 4 4,126 7 4 WESTLANDS 2 73,017 1 37,979 2 6,195 1 08,749 9 4 Male 1 35,259 7 8,735 1 1,854 4 4,626 4 4 Female 1 37,744 5 9,237 1 4,338 6 4,119 5 0 1 Intersex population is excluded from the table since it is too small to be distributed at sub-national level. 2 Persons outside the labour force is what was formally referred to as the economically inactive and includes: full-time students,home makers, the retired, incapacitated persons and those who are either too young or too old to work. 206

Page 220

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated KENYA 28,451,359 13,873,424 1,283,497 13,289,275 5,163 Male 14,034,674 6,625,973 792,679 6,613,473 2,549 Female 14,415,969 7,247,112 490,761 6,675,484 2,612 Intersex 716 339 57 318 2 KWALE 621,486 288,030 32,067 301,241 148 Male 302,543 132,992 20,550 148,922 79 Female 318,933 155,033 11,515 152,316 69 KINANGO 72,650 35,445 1,719 35,470 16 Male 34,727 15,427 1,122 18,170 8 Female 37,922 20,018 597 17,299 8 LUNGA LUNGA 164,358 79,782 7,353 77,213 10 Male 80,111 36,968 4,323 38,814 6 Female 84,246 42,813 3,030 38,399 4 MATUGA 157,987 69,633 10,736 77,578 40 Male 77,607 33,218 7,120 37,246 23 Female 80,378 36,415 3,615 40,331 17 MSAMBWENI 71,762 33,603 4,872 33,273 14 Male 36,413 17,166 3,366 15,872 9 Female 35,349 16,437 1,506 17,401 5 SAMBURU 154,729 69,567 7,387 77,707 68 Male 73,685 30,213 4,619 38,820 33 Female 81,038 39,350 2,767 38,886 35 KILIFI 902,310 393,185 41,057 467,928 140 Male 432,334 173,390 26,031 232,844 69 Female 469,962 219,789 15,026 235,077 70 CHONYI 53,618 24,009 1,298 28,311 - Male 25,089 9,781 835 14,473 - Female 28,528 14,228 463 13,837 - GANZE 120,081 51,179 3,989 64,877 36 Male 55,059 19,869 2,441 32,735 14 Female 65,019 31,309 1,548 32,140 22 KALOLENI 134,603 59,543 5,753 69,255 52 Male 63,449 25,285 3,810 34,331 23 Female 71,149 34,257 1,943 34,921 28 KAUMA 19,582 7,548 1,286 10,748 - Male 9,464 3,183 809 5,472 - Female 10,118 4,365 477 5,276 - KILIFI NORTH 89,199 41,329 3,267 44,603 - Male 43,330 18,806 2,205 22,319 - Female 45,868 22,523 1,062 22,283 - KILIFI SOUTH 88,348 37,173 5,513 45,658 4 Male 43,693 18,165 3,659 21,867 2 Female 44,655 19,008 1,854 23,791 2 MAGARINI 146,592 64,036 4,733 77,818 5 Male 70,832 28,593 3,206 39,029 4 Female 75,760 35,443 1,527 38,789 1 MALINDI 156,098 68,764 8,325 78,972 37 Male 76,029 31,695 4,776 39,535 23 Female 80,065 37,065 3,549 39,437 14 RABAI 94,189 39,604 6,893 47,686 6 Male 45,389 18,013 4,290 23,083 3 Female 48,800 21,591 2,603 24,603 3 TANA RIVER 197,612 99,002 14,851 83,663 96 Male 98,583 49,075 9,002 40,462 44 Female 99,028 49,927 5,848 43,201 52 207

Page 221

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated TANA DELTA 83,462 41,466 4,800 37,164 32 Male 41,868 20,944 2,942 17,971 11 Female 41,594 20,522 1,858 19,193 21 TANA NORTH 58,831 29,604 6,566 22,639 22 Male 29,657 14,608 3,829 11,206 14 Female 29,173 14,996 2,736 11,433 8 TANA RIVER 55,319 27,932 3,485 23,860 42 Male 27,058 13,523 2,231 11,285 19 Female 28,261 14,409 1,254 12,575 23 LAMU 90,801 47,441 3,914 39,419 27 Male 48,862 26,906 2,833 19,109 14 Female 41,937 20,535 1,081 20,308 13 LAMU EAST 16,905 7,758 975 8,172 - Male 8,887 4,716 693 3,478 - Female 8,018 3,042 282 4,694 - LAMU WEST 73,896 39,683 2,939 31,247 27 Male 39,975 22,190 2,140 15,631 14 Female 33,919 17,493 799 15,614 13 TAITA/TAVETA 217,801 123,034 8,714 86,000 53 Male 111,529 62,838 6,265 42,402 24 Female 106,270 60,195 2,449 43,597 29 MWATATE 64,231 36,168 2,438 25,619 6 Male 32,881 18,519 1,822 12,536 4 Female 31,348 17,648 616 13,082 2 TAITA 46,393 27,153 1,622 17,616 2 Male 23,495 13,597 1,164 8,734 - Female 22,898 13,556 458 8,882 2 TAVETA 59,842 33,739 2,010 24,072 21 Male 31,360 18,118 1,334 11,900 8 Female 28,482 15,621 676 12,172 13 VOI 47,335 25,974 2,644 18,693 24 Male 23,793 12,604 1,945 9,232 12 Female 23,542 13,370 699 9,461 12 GARISSA 545,401 225,021 121,777 198,510 93 Male 305,068 126,756 72,853 105,397 62 Female 240,310 98,256 48,919 93,104 31 BALAMBALA 29,652 13,638 7,134 8,880 - Male 18,691 8,407 5,033 5,251 - Female 10,960 5,231 2,100 3,629 - DADAAB 150,636 46,682 45,512 58,390 52 Male 80,458 25,703 25,419 29,298 38 Female 70,172 20,978 20,091 29,089 14 FAFI 109,508 31,941 31,236 46,308 23 Male 59,473 18,099 18,276 23,084 14 Female 50,027 13,839 12,959 23,220 9 GARISSA 26,310 11,468 3,869 10,962 11 Male 14,619 6,276 2,588 5,749 6 Female 11,691 5,192 1,281 5,213 5 HULUGHO 115,667 65,864 14,981 34,815 7 Male 68,479 37,955 9,809 20,711 4 Female 47,184 27,906 5,172 14,103 3 IJARA 74,595 33,440 13,158 27,997 - Male 43,510 19,056 8,329 16,125 - Female 31,082 14,383 4,828 11,871 - LAGDERA 39,033 21,988 5,887 11,158 - Male 19,838 11,260 3,399 5,179 - Female 19,194 10,727 2,488 5,979 - 208

Page 222

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated WAJIR 501,258 260,518 74,706 166,002 32 Male 268,735 137,566 45,115 86,037 17 Female 232,499 122,945 29,584 79,955 15 BUNA 40,518 19,410 7,378 13,730 - Male 22,155 10,610 4,663 6,882 - Female 18,361 8,799 2,714 6,848 - ELDAS 64,663 30,359 11,331 22,973 - Male 32,990 15,255 6,389 11,346 - Female 31,668 15,103 4,940 11,625 - HABASWEIN 119,816 70,719 11,105 37,973 19 Male 65,401 37,378 7,176 20,837 10 Female 54,415 33,341 3,929 17,136 9 TARBAJ 42,741 20,336 7,292 15,113 - Male 20,628 9,755 3,925 6,948 - Female 22,108 10,581 3,365 8,162 - WAJIR EAST 16,954 8,582 2,541 5,831 - Male 9,371 4,625 1,558 3,188 - Female 7,583 3,957 983 2,643 - WAJIR NORTH 39,256 20,356 6,035 12,865 - Male 20,604 10,515 3,668 6,421 - Female 18,647 9,839 2,366 6,442 - WAJIR SOUTH 99,289 50,060 18,246 30,970 13 Male 55,566 27,827 10,974 16,758 7 Female 43,721 22,232 7,272 14,211 6 WAJIR WEST 78,021 40,696 10,778 26,547 - Male 42,020 21,601 6,762 13,657 - Female 35,996 19,093 4,015 12,888 - MANDERA 479,727 246,879 56,916 175,845 87 Male 245,563 124,804 34,698 86,014 47 Female 234,145 122,064 22,214 89,827 40 MANDERA WEST 60,210 29,563 5,363 25,280 4 Male 29,793 14,211 3,433 12,147 2 Female 30,415 15,350 1,930 13,133 2 BANISA 109,418 62,594 11,811 35,012 1 Male 57,323 32,201 7,213 17,909 - Female 52,089 30,391 4,596 17,101 1 KOTULO 57,580 32,033 4,133 21,414 - Male 29,230 15,695 2,791 10,744 - Female 28,348 16,337 1,342 10,669 - LAFEY 48,922 27,505 6,884 14,532 1 Male 24,395 13,468 3,938 6,988 1 Female 24,524 14,036 2,945 7,543 - MANDERA CENTRAL 77,769 30,486 11,371 35,831 81 Male 36,222 13,960 6,419 15,799 44 Female 41,545 16,524 4,952 20,032 37 MANDERA EAST 36,200 17,443 5,143 13,614 - Male 19,187 9,029 3,185 6,973 - Female 17,013 8,414 1,958 6,641 - MANDERA NORTH 89,628 47,255 12,211 30,162 - Male 49,413 26,240 7,719 15,454 - Female 40,211 21,012 4,491 14,708 - MARSABIT 288,777 156,341 31,509 100,739 188 Male 153,767 85,021 19,984 48,666 96 Female 134,995 71,315 11,521 52,067 92 LOIYANGALANI 24,488 15,274 1,913 7,301 - Male 12,045 7,723 981 3,341 - Female 12,441 7,551 931 3,959 - 209

Page 223

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated MARSABIT CENTRAL 36,048 12,468 4,832 18,748 - Male 18,657 6,664 3,112 8,881 - Female 17,382 5,800 1,718 9,864 - MARSABIT NORTH 42,556 28,379 2,598 11,579 - Male 23,210 15,985 1,686 5,539 - Female 19,345 12,394 912 6,039 - MARSABIT SOUTH 50,723 34,086 2,845 13,782 10 Male 25,671 17,651 1,663 6,352 5 Female 25,052 16,435 1,182 7,430 5 MOYALE 49,554 14,277 9,123 26,145 9 Male 26,196 7,541 5,769 12,880 6 Female 23,357 6,735 3,354 13,265 3 NORTH HORR 54,255 38,953 5,442 9,697 163 Male 31,444 22,672 3,806 4,884 82 Female 22,809 16,281 1,635 4,812 81 SOLOLO 31,153 12,904 4,756 13,487 6 Male 16,544 6,785 2,967 6,789 3 Female 14,609 6,119 1,789 6,698 3 ISIOLO 119,570 65,400 11,255 42,904 11 Male 64,926 35,977 7,724 21,218 7 Female 54,641 29,421 3,530 21,686 4 GARBATULLA 54,840 26,737 7,392 20,703 8 Male 31,250 15,489 5,283 10,474 4 Female 23,589 11,248 2,108 10,229 4 ISIOLO 35,229 21,602 1,720 11,904 3 Male 18,115 11,309 988 5,815 3 Female 17,114 10,293 732 6,089 - MERTI 29,501 17,061 2,143 10,297 - Male 15,561 9,179 1,453 4,929 - Female 13,938 7,880 690 5,368 - MERU 1,247,197 637,412 65,502 543,935 348 Male 618,786 317,220 41,592 259,792 182 Female 628,377 320,176 23,909 284,126 166 BUURI EAST 65,714 38,432 2,700 24,548 34 Male 32,826 19,067 1,766 11,974 19 Female 32,888 19,365 934 12,574 15 BUURI WEST 62,912 36,590 2,625 23,690 7 Male 31,673 18,740 1,606 11,324 3 Female 31,237 17,849 1,019 12,365 4 IGEMBE CENTRAL 191,304 83,500 15,203 92,560 41 Male 95,375 42,195 9,654 43,505 21 Female 95,925 41,303 5,549 49,053 20 IGEMBE NORTH 142,329 58,919 10,996 72,367 47 Male 69,872 28,902 6,938 34,006 26 Female 72,453 30,017 4,057 38,358 21 IGEMBE SOUTH 122,519 57,102 9,106 56,260 51 Male 61,121 29,454 5,719 25,920 28 Female 61,390 27,644 3,387 30,336 23 IMENTI NORTH 87,353 50,383 4,194 32,749 27 Male 43,672 25,269 2,736 15,650 17 Female 43,680 25,113 1,458 17,099 10 IMENTI SOUTH 174,614 104,092 5,340 65,165 17 Male 87,605 52,415 3,373 31,809 8 Female 87,004 51,675 1,967 33,353 9 MERU CENTRAL 120,380 72,241 3,270 44,814 55 Male 60,118 36,038 2,118 21,935 27 Female 60,259 36,200 1,152 22,879 28 210

Page 224

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated TIGANIA CENTRAL 90,795 45,044 3,238 42,510 3 Male 44,791 22,130 2,198 20,461 2 Female 46,004 22,914 1,040 22,049 1 TIGANIA EAST 63,971 28,690 3,324 31,905 52 Male 30,997 13,830 1,979 15,162 26 Female 32,971 14,859 1,345 16,741 26 TIGANIA WEST 124,581 61,837 5,444 57,286 14 Male 60,129 28,654 3,453 28,017 5 Female 64,448 33,181 1,991 29,267 9 MERU NATIONAL PARK 285 211 4 70 - Male 215 193 - 22 - Female 70 18 4 48 - MT. KENYA FOREST 440 371 58 11 - Male 392 333 52 7 - Female 48 38 6 4 - THARAKA-NITHI 322,564 175,325 11,681 135,498 60 Male 158,625 84,135 7,435 67,022 33 Female 163,933 91,186 4,246 68,474 27 IGAMBANG’OMBE 46,981 25,557 1,284 20,125 15 Male 23,183 12,234 879 10,061 9 Female 23,797 13,322 405 10,064 6 MAARA 97,275 57,509 3,537 36,216 13 Male 48,916 28,705 2,276 17,929 6 Female 48,359 28,804 1,261 18,287 7 MERU SOUTH 62,098 35,396 2,548 24,143 11 Male 30,730 17,073 1,760 11,891 6 Female 31,367 18,323 788 12,251 5 THARAKA NORTH 51,464 25,273 1,745 24,430 16 Male 24,878 11,808 1,003 12,058 9 Female 26,584 13,464 742 12,371 7 THARAKA SOUTH 64,592 31,510 2,565 30,512 5 Male 30,848 14,255 1,517 15,073 3 Female 33,742 17,253 1,048 15,439 2 MOUNT KENYA FOREST 154 80 2 72 - Male 70 60 - 10 - Female 84 20 2 62 - EMBU 478,273 280,186 15,683 182,365 39 Male 239,399 139,320 10,825 89,237 17 Female 238,864 140,859 4,858 93,125 22 EMBU EAST 112,775 68,439 4,274 40,059 3 Male 56,215 33,754 2,900 19,560 1 Female 56,559 34,684 1,374 20,499 2 EMBU NORTH 71,785 43,464 2,662 25,655 4 Male 35,702 21,316 1,715 12,670 1 Female 36,080 22,145 947 12,985 3 EMBU WEST 56,669 34,473 1,873 20,323 - Male 28,562 17,452 1,292 9,818 - Female 28,107 17,021 581 10,505 - MBEERE SOUTH 144,926 84,019 4,154 56,726 27 Male 73,769 43,022 2,914 27,819 14 Female 71,152 40,994 1,240 28,905 13 MBEERE NORTH 92,097 49,772 2,720 39,600 5 Male 45,133 23,758 2,004 19,370 1 Female 46,963 26,014 716 20,229 4 MOUNT KENYA FOREST 21 19 - 2 - Male 18 18 - - - Female 3 1 - 2 - 211

Page 225

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated KITUI 958,995 462,783 27,756 468,311 145 Male 460,489 206,999 17,667 235,766 57 Female 498,481 255,772 10,087 232,534 88 IKUTHA 73,789 32,474 1,925 39,387 3 Male 35,397 14,178 1,253 19,964 2 Female 38,392 18,296 672 19,423 1 KATULANI 42,501 22,991 1,254 18,256 - Male 20,855 10,641 873 9,341 - Female 21,645 12,349 381 8,915 - KISASI 41,232 21,802 765 18,658 7 Male 20,130 10,007 562 9,560 1 Female 21,102 11,795 203 9,098 6 KITUI CENTRAL 68,804 35,438 2,882 30,476 8 Male 33,750 16,641 1,767 15,338 4 Female 35,051 18,795 1,114 15,138 4 KITUI WEST 60,991 31,454 1,775 27,762 - Male 29,120 13,835 1,259 14,026 - Female 31,870 17,619 516 13,735 - KYUSO 65,507 30,594 1,470 33,434 9 Male 31,159 13,476 909 16,772 2 Female 34,347 17,118 561 16,661 7 LOWER YATTA 56,643 27,676 2,022 26,939 6 Male 28,271 13,284 1,301 13,685 1 Female 28,372 14,392 721 13,254 5 MATINYANI 42,736 22,967 1,224 18,545 - Male 20,853 10,562 827 9,464 - Female 21,882 12,404 397 9,081 - MIGWANI 69,465 35,804 1,416 32,222 23 Male 32,648 15,586 863 16,187 12 Female 36,814 20,217 553 16,033 11 MUMONI 25,778 11,542 644 13,591 1 Male 11,945 4,916 426 6,602 1 Female 13,833 6,626 218 6,989 - MUTITU 48,615 21,355 1,195 26,019 46 Male 22,953 9,266 745 12,923 19 Female 25,660 12,089 450 13,094 27 MUTITU NORTH 18,901 9,290 472 9,134 5 Male 9,150 4,219 262 4,666 3 Female 9,750 5,071 210 4,467 2 MUTOMO 98,636 45,416 2,621 50,593 6 Male 47,272 20,227 1,637 25,404 4 Female 51,359 25,187 983 25,187 2 MWINGI CENTRAL 80,882 37,699 2,364 40,805 14 Male 38,735 16,580 1,535 20,616 4 Female 42,147 21,119 829 20,189 10 MWINGI EAST 74,692 33,083 2,489 39,103 17 Male 35,082 14,068 1,468 19,542 4 Female 39,606 19,012 1,021 19,560 13 NZAMBANI 41,618 20,793 1,939 18,886 - Male 20,297 9,532 1,262 9,503 - Female 21,319 11,259 677 9,383 - THAGICU 13,260 6,230 311 6,719 - Male 6,214 2,713 168 3,333 - Female 7,045 3,517 143 3,385 - TSEIKURU 34,945 16,175 988 17,782 - Male 16,658 7,268 550 8,840 - Female 18,287 8,907 438 8,942 - MACHAKOS 907,268 487,598 41,410 378,190 70 Male 453,262 233,209 29,679 190,335 39 Female 453,984 254,376 11,730 187,847 31 212

Page 226

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated ATHI RIVER 39,652 20,355 3,360 15,932 5 Male 21,739 12,074 2,004 7,657 4 Female 17,913 8,281 1,356 8,275 1 KALAMA 49,428 25,997 2,720 20,710 1 Male 24,196 11,956 1,965 10,274 1 Female 25,227 14,039 754 10,434 - KANGUNDO 79,591 45,888 2,944 30,757 2 Male 39,487 21,526 2,255 15,705 1 Female 40,103 24,361 689 15,052 1 KATHIANI 97,153 52,398 3,851 40,889 15 Male 47,507 24,059 2,793 20,648 7 Female 49,642 28,337 1,058 20,239 8 MACHAKOS 96,529 54,695 5,784 36,040 10 Male 49,107 27,127 4,190 17,783 7 Female 47,419 27,567 1,594 18,255 3 MASINGA 131,036 66,545 5,302 59,173 16 Male 64,670 30,748 3,898 30,015 9 Female 66,364 35,796 1,404 29,157 7 MATUNGULU 116,131 61,984 6,032 48,111 4 Male 58,640 30,389 4,357 23,894 - Female 57,488 31,593 1,675 24,216 4 MWALA 157,713 86,455 6,277 64,970 11 Male 78,421 40,410 4,522 33,481 8 Female 79,289 46,042 1,755 31,489 3 YATTA 140,035 73,281 5,140 61,608 6 Male 69,495 34,920 3,695 30,878 2 Female 70,539 38,360 1,445 30,730 4 MAKUENI 818,098 422,691 26,346 368,912 149 Male 402,883 198,142 18,318 186,359 64 Female 415,197 224,541 8,028 182,543 85 KATHONZWENI 70,347 36,233 1,696 32,413 5 Male 34,626 16,800 1,294 16,530 2 Female 35,718 19,431 402 15,882 3 KIBWEZI 163,387 76,031 7,492 79,845 19 Male 80,708 35,648 4,894 40,157 9 Female 82,675 40,382 2,598 39,685 10 KILUNGU 52,827 26,802 1,551 24,459 15 Male 24,948 11,824 1,077 12,040 7 Female 27,878 14,977 474 12,419 8 MAKINDU 58,719 27,691 2,966 28,034 28 Male 28,839 12,741 2,046 14,041 11 Female 29,880 14,950 920 13,993 17 MAKUENI 99,814 55,918 2,481 41,411 4 Male 49,804 27,025 1,747 21,031 1 Female 50,008 28,893 734 20,378 3 MBOONI EAST 88,212 48,048 2,062 38,099 3 Male 43,242 22,170 1,429 19,642 1 Female 44,967 25,876 633 18,456 2 MBOONI WEST 89,349 47,068 2,215 40,058 8 Male 42,869 20,995 1,631 20,240 3 Female 46,479 26,072 584 19,818 5 MUKAA 91,505 50,309 3,278 37,886 32 Male 46,307 24,889 2,418 18,988 12 Female 45,198 25,420 860 18,898 20 NZAUI 103,938 54,591 2,605 46,707 35 Male 51,540 26,050 1,782 23,690 18 Female 52,394 28,540 823 23,014 17 NYANDARUA 508,675 285,964 7,630 215,020 61 Male 250,615 137,169 5,033 108,385 28 Female 258,046 148,787 2,597 106,630 32 213

Page 227

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated KINANGOP 95,310 52,336 1,923 41,036 15 Male 46,635 25,072 1,253 20,302 8 Female 48,671 27,261 670 20,733 7 NYANDARUA SOUTH 74,822 41,619 1,075 32,124 4 Male 36,877 19,940 681 16,254 2 Female 37,944 21,678 394 15,870 2 MIRANGINE 59,612 33,364 988 25,254 6 Male 29,594 16,313 662 12,617 2 Female 30,017 17,051 326 12,636 4 KIPIPIRI 82,485 45,944 927 35,600 14 Male 40,453 21,956 630 17,861 6 Female 42,030 23,986 297 17,739 8 NYANDARUA CENTRAL 54,937 31,275 873 22,782 7 Male 27,220 15,024 581 11,611 4 Female 27,716 16,251 292 11,170 3 NYANDARUA WEST 63,173 36,342 769 26,058 4 Male 31,410 17,464 523 13,422 1 Female 31,759 18,876 246 12,634 3 NYANDARUA NORTH 78,322 45,072 1,074 32,165 11 Male 38,416 21,390 703 16,318 5 Female 39,905 23,682 371 15,847 5 ABERDARE NAT. PARK 14 12 1 1 - Male 10 10 - - - Female 4 2 1 1 - NYERI 549,782 330,883 16,762 202,107 30 Male 271,147 158,763 11,099 101,269 16 Female 278,611 172,103 5,661 100,833 14 TETU 72,884 44,730 2,106 26,046 2 Male 35,534 21,049 1,496 12,988 1 Female 37,348 23,679 610 13,058 1 KIENI EAST 79,313 47,704 2,239 29,365 5 Male 40,035 24,048 1,417 14,566 4 Female 39,274 23,655 820 14,798 1 KIENI WEST 71,889 42,393 1,914 27,578 4 Male 35,669 20,520 1,229 13,918 2 Female 36,215 21,868 685 13,660 2 MATHIRA EAST 68,951 41,825 2,104 25,019 3 Male 33,639 20,019 1,269 12,350 1 Female 35,310 21,804 835 12,669 2 MATHIRA WEST 54,372 33,152 1,944 19,269 7 Male 26,669 15,648 1,322 9,696 3 Female 27,700 17,501 622 9,573 4 NYERI SOUTH 76,584 46,707 1,813 28,062 2 Male 37,103 21,916 1,229 13,957 1 Female 39,480 24,791 584 14,104 1 MUKURWE-INI 74,962 45,740 1,705 27,512 5 Male 37,004 21,650 1,197 14,154 3 Female 37,952 24,086 508 13,356 2 NYERI CENTRAL 50,557 28,424 2,931 19,200 2 Male 25,312 13,755 1,938 9,618 1 Female 25,244 14,669 993 9,581 1 MT. KENYA FOREST 174 129 2 43 - Male 115 95 1 19 - Female 59 34 1 24 - ABERDARE FOREST 96 79 4 13 - Male 67 63 1 3 - Female 29 16 3 10 - 214

Page 228

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated KIRINYAGA 429,388 267,143 11,896 150,316 33 Male 214,251 132,338 7,702 74,192 19 Female 215,121 134,794 4,194 76,119 14 KIRINYAGA CENTRAL 81,031 51,196 1,912 27,920 3 Male 39,989 24,883 1,247 13,857 2 Female 41,038 26,310 665 14,062 1 KIRINYAGA EAST 119,924 76,894 3,133 39,877 20 Male 59,423 37,695 2,066 19,650 12 Female 60,493 39,193 1,067 20,225 8 KIRINYAGA WEST 83,890 52,674 1,370 29,843 3 Male 41,445 25,662 923 14,858 2 Female 42,443 27,011 447 14,984 1 MWEA EAST 80,014 48,530 2,762 28,717 5 Male 40,882 25,109 1,767 14,003 3 Female 39,131 23,421 995 14,713 2 MWEA WEST 64,497 37,824 2,714 23,957 2 Male 32,488 18,966 1,698 11,824 - Female 32,008 18,857 1,016 12,133 2 MT. KENYA FOREST 32 25 5 2 - Male 24 23 1 - - Female 8 2 4 2 - MURANG’A 840,116 492,669 27,670 319,648 129 Male 417,413 239,005 19,272 159,072 64 Female 422,676 253,649 8,397 160,565 65 MURANG’A EAST 59,911 35,388 2,372 22,145 6 Male 29,960 17,126 1,719 11,113 2 Female 29,950 18,262 653 11,031 4 KANGEMA 66,822 41,549 1,534 23,739 - Male 32,812 19,769 1,064 11,979 - Female 34,007 21,778 470 11,759 - MATHIOYA 80,202 48,576 2,059 29,553 14 Male 39,253 23,049 1,414 14,784 6 Female 40,948 25,526 645 14,769 8 KAHURO 79,917 49,122 1,608 29,179 8 Male 39,127 23,235 1,112 14,775 5 Female 40,785 25,885 496 14,401 3 MURANG’A SOUTH 122,909 69,071 4,693 49,123 22 Male 61,683 33,658 3,369 24,645 11 Female 61,222 35,411 1,324 24,476 11 GATANGA 165,101 93,108 7,312 64,653 28 Male 82,893 46,622 4,805 31,452 14 Female 82,205 46,484 2,507 33,200 14 KIGUMO 119,015 70,730 2,930 45,330 25 Male 59,067 34,301 2,098 22,655 13 Female 59,945 36,428 831 22,674 12 KANDARA 146,198 85,093 5,162 55,917 26 Male 72,588 41,217 3,691 27,667 13 Female 73,603 43,871 1,471 28,248 13 ABERDARE FOREST 41 32 - 9 - Male 30 28 - 2 - Female 11 4 - 7 - KIAMBU 634,583 353,038 34,523 246,914 108 Male 316,814 176,811 22,580 117,371 52 Female 317,745 176,213 11,940 129,536 56 GATUNDU NORTH 96,678 53,942 5,211 37,507 18 Male 47,582 26,226 3,457 17,892 7 Female 49,094 27,714 1,754 19,615 11 215

Page 229

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated GATUNDU SOUTH 102,727 59,322 4,975 38,392 38 Male 50,933 28,821 3,377 18,718 17 Female 51,790 30,499 1,598 19,672 21 GITHUNGURI 129,675 73,543 6,657 49,464 11 Male 64,572 36,779 4,429 23,358 6 Female 65,095 36,760 2,227 26,103 5 JUJA 22,749 11,626 1,590 9,528 5 Male 11,505 6,381 930 4,191 3 Female 11,243 5,244 660 5,337 2 KABETE - - - - - Male - - - - - Female - - - - - KIAMBAA 3,633 2,008 152 1,471 2 Male 1,969 1,181 73 713 2 Female 1,664 827 79 758 - KIAMBU 14,296 7,597 1,143 5,549 7 Male 7,260 4,086 655 2,517 2 Female 7,033 3,509 488 3,031 5 KIKUYU 55,064 29,382 4,107 21,575 - Male 27,633 14,774 2,778 10,081 - Female 27,430 14,607 1,329 11,494 - LARI 113,781 64,679 4,232 44,863 7 Male 56,525 31,860 2,797 21,866 2 Female 57,255 32,819 1,435 22,996 5 LIMURU 64,480 34,915 3,740 25,816 9 Male 32,723 18,006 2,469 12,243 5 Female 31,757 16,909 1,271 13,573 4 RUIRU - - - - - Male - - - - - Female - - - - - THIKA EAST 29,174 14,747 2,568 11,848 11 Male 14,904 7,972 1,532 5,392 8 Female 14,266 6,773 1,034 6,456 3 THIKA WEST 2,326 1,277 148 901 - Male 1,208 725 83 400 - Female 1,118 552 65 501 - TURKANA 671,690 302,870 119,224 248,960 636 Male 348,676 158,843 64,531 124,980 322 Female 322,996 144,021 54,685 123,976 314 KIBISH 30,925 21,123 3,453 6,349 - Male 15,710 10,641 1,868 3,201 - Female 15,214 10,482 1,585 3,147 - LOIMA 90,698 45,337 14,145 31,108 108 Male 45,687 22,817 7,744 15,070 56 Female 45,011 22,520 6,401 16,038 52 TURKANA CENTRAL 83,228 39,856 11,414 31,947 11 Male 41,742 20,113 6,260 15,363 6 Female 41,486 19,743 5,154 16,584 5 TURKANA EAST 123,590 64,674 22,053 36,715 148 Male 69,204 36,634 12,948 19,538 84 Female 54,374 28,037 9,098 17,175 64 TURKANA NORTH 54,475 29,172 7,611 17,688 4 Male 27,300 14,769 3,825 8,704 2 Female 27,175 14,403 3,786 8,984 2 TURKANA SOUTH 112,506 49,922 20,696 41,808 80 Male 57,489 26,038 11,317 20,094 40 Female 55,014 23,882 9,379 21,713 40 TURKANA WEST 176,268 52,786 39,852 83,345 285 Male 91,544 27,831 20,569 43,010 134 Female 84,722 24,954 19,282 40,335 151 216

Page 230

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated WEST POKOT 478,369 230,760 16,822 230,692 95 Male 235,507 109,946 9,330 116,188 43 Female 242,851 120,810 7,492 114,497 52 KIPKOMO 81,103 32,462 1,969 46,672 - Male 40,082 15,362 1,162 23,558 - Female 41,015 17,098 807 23,110 - POKOT CENTRAL 96,554 47,409 3,345 45,784 16 Male 48,335 23,146 1,953 23,230 6 Female 48,218 24,262 1,392 22,554 10 POKOT NORTH 106,842 67,800 5,195 33,794 53 Male 51,183 31,801 2,627 16,733 22 Female 55,657 35,998 2,568 17,060 31 POKOT SOUTH 66,296 25,804 1,097 39,395 - Male 32,516 12,034 675 19,807 - Female 33,778 13,770 422 19,586 - WEST POKOT 127,574 57,285 5,216 65,047 26 Male 63,391 27,603 2,913 32,860 15 Female 64,183 29,682 2,303 32,187 11 SAMBURU 217,885 129,684 9,969 78,207 25 Male 110,117 64,152 5,488 40,467 10 Female 107,764 65,530 4,481 37,738 15 SAMBURU CENTRAL 109,516 59,257 4,505 45,736 18 Male 55,829 29,253 2,473 24,096 7 Female 53,685 30,002 2,032 21,640 11 SAMBURU EAST 56,501 35,992 3,035 17,473 1 Male 27,326 17,114 1,583 8,629 - Female 29,175 18,878 1,452 8,844 1 SAMBURU NORTH 51,868 34,435 2,429 14,998 6 Male 26,962 17,785 1,432 7,742 3 Female 24,904 16,650 997 7,254 3 TRANS NZOIA 703,122 296,459 27,354 379,269 40 Male 345,971 141,638 16,577 187,738 18 Female 357,134 154,815 10,776 191,521 22 TRANS NZOIA WEST 107,547 45,636 3,769 58,129 13 Male 53,103 21,775 2,307 29,016 5 Female 54,442 23,861 1,461 29,112 8 TRANS NZOIA EAST 199,879 85,526 7,189 107,153 11 Male 98,290 40,894 4,363 53,029 4 Female 101,582 44,630 2,826 54,119 7 KWANZA 139,528 57,290 6,337 75,894 7 Male 68,456 27,120 3,715 37,617 4 Female 71,069 30,168 2,622 38,276 3 ENDEBESS 95,631 41,129 3,360 51,140 2 Male 47,979 20,536 1,997 25,445 1 Female 47,649 20,592 1,363 25,693 1 KIMININI 160,537 66,878 6,699 86,953 7 Male 78,143 31,313 4,195 42,631 4 Female 82,392 35,564 2,504 44,321 3 UASIN GISHU 573,675 261,161 23,250 289,196 68 Male 286,563 127,431 14,753 144,346 33 Female 287,104 133,725 8,497 144,847 35 AINABKOI 69,935 32,689 2,802 34,441 3 Male 34,989 16,059 1,812 17,117 1 Female 34,946 16,630 990 17,324 2 217

Page 231

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated KAPSERET 39,206 18,204 1,860 19,127 15 Male 19,596 8,954 1,172 9,465 5 Female 19,610 9,250 688 9,662 10 KESSES 112,212 51,308 4,413 56,482 9 Male 56,073 24,853 2,870 28,345 5 Female 56,136 26,453 1,543 28,136 4 MOIBEN 93,923 43,905 3,262 46,753 3 Male 47,106 21,664 2,096 23,345 1 Female 46,816 22,240 1,166 23,408 2 SOY 151,678 66,574 5,930 79,147 27 Male 75,115 31,702 3,744 39,652 17 Female 76,561 34,871 2,186 39,494 10 TURBO 106,721 48,481 4,983 53,246 11 Male 53,684 24,199 3,059 26,422 4 Female 53,035 24,281 1,924 26,823 7 ELGEYO/MARAKWET 374,788 165,035 13,742 195,957 54 Male 187,532 81,253 9,188 97,067 24 Female 187,248 83,778 4,554 98,886 30 KEIYO NORTH 75,105 33,642 3,360 38,088 15 Male 37,681 16,680 2,258 18,737 6 Female 37,423 16,962 1,102 19,350 9 KEIYO SOUTH 105,955 49,312 3,293 53,332 18 Male 53,433 24,419 2,242 26,764 8 Female 52,519 24,891 1,051 26,567 10 MARAKWET EAST 82,462 32,787 3,621 46,053 1 Male 40,560 15,833 2,225 22,501 1 Female 41,900 16,953 1,396 23,551 - MARAKWET WEST 111,266 49,294 3,468 58,484 20 Male 55,858 24,321 2,463 29,065 9 Female 55,406 24,972 1,005 29,418 11 NANDI 726,576 342,199 21,514 362,783 80 Male 361,490 166,322 13,333 181,789 46 Female 365,068 175,864 8,181 180,989 34 CHESUMEI 123,212 57,667 5,167 60,374 4 Male 60,830 27,491 3,329 30,007 3 Female 62,379 30,174 1,838 30,366 1 NANDI CENTRAL 108,546 51,014 3,655 53,877 - Male 53,556 24,462 2,191 26,903 - Female 54,986 26,549 1,464 26,973 - NANDI EAST 97,711 45,854 3,474 48,342 41 Male 49,157 23,241 2,025 23,870 21 Female 48,551 22,610 1,449 24,472 20 NANDI NORTH 144,637 66,465 3,756 74,402 14 Male 71,676 31,709 2,501 37,457 9 Female 72,958 34,755 1,255 36,943 5 NANDI SOUTH 151,611 73,122 3,461 75,020 8 Male 75,037 35,286 2,118 37,629 4 Female 76,571 37,833 1,343 37,391 4 TINDERET 100,859 48,077 2,001 50,768 13 Male 51,234 24,133 1,169 25,923 9 Female 49,623 23,943 832 24,844 4 BARINGO 504,271 244,934 23,029 236,269 39 Male 254,645 120,953 13,984 119,691 17 Female 249,616 123,978 9,044 116,572 22 BARINGO CENTRAL 64,972 28,948 3,043 32,980 1 Male 32,303 14,019 1,922 16,362 - Female 32,669 14,929 1,121 16,618 1 218

Page 232

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated BARINGO NORTH 89,478 39,693 3,411 46,371 3 Male 44,506 18,960 2,100 23,445 1 Female 44,970 20,732 1,310 22,926 2 EAST POKOT 67,191 40,139 4,075 22,972 5 Male 33,897 19,900 2,260 11,735 2 Female 33,292 20,239 1,815 11,235 3 KOIBATEK 84,273 41,270 2,218 40,781 4 Male 42,624 20,709 1,400 20,513 2 Female 41,647 20,561 818 20,266 2 MARIGAT 66,750 26,892 2,540 37,308 10 Male 33,477 12,844 1,582 19,045 6 Female 33,270 14,046 958 18,262 4 MOGOTIO 70,336 30,694 2,710 36,931 1 Male 35,642 15,120 1,801 18,720 1 Female 34,693 15,574 909 18,210 - TIATY EAST 61,271 37,298 5,032 18,926 15 Male 32,196 19,401 2,919 9,871 5 Female 29,075 17,897 2,113 9,055 10 LAIKIPIA 339,798 183,394 13,184 143,195 25 Male 170,128 90,019 8,195 71,906 8 Female 169,663 93,373 4,988 71,285 17 LAIKIPIA CENTRAL 61,386 35,291 1,723 24,361 11 Male 31,252 17,580 1,180 12,490 2 Female 30,134 17,711 543 11,871 9 LAIKIPIA EAST 54,171 28,696 3,275 22,200 - Male 27,154 14,383 1,915 10,856 - Female 27,014 14,312 1,360 11,342 - LAIKIPIA NORTH 29,383 16,029 1,401 11,952 1 Male 14,627 7,767 801 6,059 - Female 14,755 8,261 600 5,893 1 LAIKIPIA WEST 97,764 52,890 3,800 41,063 11 Male 49,120 26,114 2,378 20,622 6 Female 48,642 26,776 1,421 20,440 5 NYAHURURU 97,094 50,488 2,985 43,619 2 Male 47,975 24,175 1,921 21,879 - Female 49,118 26,313 1,064 21,739 2 NAKURU 968,762 480,262 29,168 459,182 150 Male 485,569 235,683 18,800 231,010 76 Female 483,169 244,570 10,367 228,158 74 GILGIL 96,019 49,708 2,677 43,623 11 Male 47,797 24,192 1,759 21,841 5 Female 48,218 25,515 917 21,780 6 KURESOI NORTH 141,429 68,572 2,883 69,961 13 Male 70,628 33,244 1,809 35,569 6 Female 70,798 35,327 1,074 34,390 7 KURESOI SOUTH 125,815 59,731 1,940 64,141 3 Male 63,280 29,161 1,259 32,859 1 Female 62,533 30,569 681 31,281 2 MOLO 73,333 37,095 1,593 34,644 1 Male 36,855 18,310 1,054 17,491 - Female 36,476 18,785 539 17,151 1 NAIVASHA 116,737 59,143 5,497 52,076 21 Male 59,948 30,616 3,524 25,797 11 Female 56,787 28,525 1,973 26,279 10 NAKURU EAST - - - - - Male - - - - - Female - - - - - 219

Page 233

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated NAKURU NORTH 58,661 30,231 2,346 26,040 44 Male 29,067 14,854 1,470 12,716 27 Female 29,589 15,375 876 13,321 17 NAKURU WEST - - - - - Male - - - - - Female - - - - - NJORO 153,084 75,298 4,183 73,585 18 Male 76,060 35,999 2,714 37,339 8 Female 77,022 39,297 1,469 36,246 10 RONGAI 139,434 66,628 6,772 66,015 19 Male 70,170 33,255 4,321 32,586 8 Female 69,261 33,373 2,451 33,426 11 SUBUKIA 64,250 33,856 1,277 29,097 20 Male 31,764 16,052 890 14,812 10 Female 32,485 17,804 387 14,284 10 NAROK 877,207 422,305 18,025 436,727 150 Male 437,317 205,384 10,823 221,021 89 Female 439,872 216,907 7,201 215,703 61 NAROK EAST 89,593 44,216 2,258 43,113 6 Male 45,823 22,617 1,337 21,865 4 Female 43,763 21,592 921 21,248 2 NAROK NORTH 155,507 77,719 3,491 74,264 33 Male 79,604 40,291 2,251 37,040 22 Female 75,898 37,424 1,240 37,223 11 NAROK SOUTH 189,833 98,064 2,766 88,980 23 Male 94,196 47,124 1,791 45,270 11 Female 95,636 50,939 975 43,710 12 NAROK WEST 156,729 74,175 5,400 77,120 34 Male 76,513 33,958 2,838 39,695 22 Female 80,214 40,217 2,561 37,424 12 TRANS MARA EAST 95,013 41,127 1,069 52,799 18 Male 46,374 18,658 702 27,003 11 Female 48,638 22,469 367 25,795 7 TRANS MARA WEST 190,500 86,974 3,041 100,449 36 Male 94,779 42,708 1,904 50,148 19 Female 95,719 44,264 1,137 50,301 17 MAU FOREST 32 30 - 2 - Male 28 28 - - - Female 4 2 - 2 - KAJIADO 411,653 193,486 22,331 195,746 90 Male 207,455 97,543 12,587 97,285 40 Female 204,186 95,940 9,744 98,452 50 ISINYA 32,564 16,080 3,045 13,413 26 Male 17,873 9,762 1,722 6,377 12 Female 14,690 6,318 1,323 7,035 14 KAJIADO CENTRAL 92,607 41,302 3,274 48,019 12 Male 46,428 20,158 1,991 24,277 2 Female 46,176 21,143 1,283 23,740 10 KAJIADO NORTH 91 61 3 27 - Male 51 37 3 11 - Female 40 24 - 16 - KAJIADO WEST 111,900 53,069 6,527 52,269 35 Male 55,828 26,020 3,675 26,119 14 Female 56,069 27,049 2,852 26,147 21 LOITOKITOK 132,057 62,551 7,353 62,138 15 Male 65,183 30,740 3,829 30,603 11 Female 66,870 31,809 3,524 31,533 4 220

Page 234

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated MASHUURU 42,434 20,423 2,129 19,880 2 Male 22,092 10,826 1,367 9,898 1 Female 20,341 9,597 762 9,981 1 KERICHO 708,412 350,181 17,006 341,050 175 Male 352,306 169,699 10,670 171,855 82 Female 356,086 180,472 6,336 169,185 93 BELGUT 127,488 64,327 3,951 59,197 13 Male 63,590 32,058 2,368 29,157 7 Female 63,898 32,269 1,583 30,040 6 BURETI 161,545 79,663 3,142 78,727 13 Male 79,843 38,486 2,012 39,339 6 Female 81,697 41,174 1,130 39,386 7 KERICHO EAST 96,348 48,302 2,540 45,468 38 Male 48,104 23,468 1,671 22,948 17 Female 48,241 24,831 869 22,520 21 KIPKELION 103,821 51,812 1,819 50,128 62 Male 51,700 24,832 1,164 25,672 32 Female 52,118 26,978 655 24,455 30 LONDIANI 112,799 54,667 3,034 55,067 31 Male 56,009 26,138 1,925 27,933 13 Female 56,782 28,527 1,109 27,128 18 SOIN SIGOWET 106,411 51,410 2,520 52,463 18 Male 53,060 24,717 1,530 26,806 7 Female 53,350 26,693 990 25,656 11 BOMET 739,421 349,993 14,927 374,434 67 Male 365,151 165,316 9,343 190,456 36 Female 374,252 184,668 5,584 183,969 31 BOMET EAST 120,901 55,801 2,712 62,366 22 Male 59,212 25,117 1,794 32,289 12 Female 61,685 30,681 918 30,076 10 CHEPALUNGU 142,990 63,753 2,130 77,100 7 Male 68,860 28,061 1,439 39,357 3 Female 74,126 35,691 691 37,740 4 KONOIN 142,007 69,263 3,764 68,968 12 Male 72,250 35,499 2,175 34,568 8 Female 69,754 33,763 1,589 34,398 4 SOTIK 193,104 91,239 3,338 98,515 12 Male 94,708 42,688 2,070 49,944 6 Female 98,392 48,549 1,268 48,569 6 BOMET CENTRAL 140,419 69,937 2,983 67,485 14 Male 70,121 33,951 1,865 34,298 7 Female 70,295 35,984 1,118 33,186 7 KAKAMEGA 1,475,035 665,777 38,264 770,658 336 Male 703,359 300,461 23,892 378,855 151 Female 771,648 365,305 14,372 391,786 185 BUTERE 128,827 58,272 3,076 67,471 8 Male 61,433 26,417 2,010 33,001 5 Female 67,392 31,854 1,066 34,469 3 KAKAMEGA CENTRAL 72,409 35,668 1,576 35,154 11 Male 35,031 17,043 1,082 16,902 4 Female 37,377 18,625 494 18,251 7 KAKAMEGA EAST 143,802 66,196 5,457 71,996 153 Male 68,753 29,897 3,393 35,398 65 Female 75,045 36,298 2,064 36,595 88 KAKAMEGA NORTH 202,402 92,188 4,123 106,050 41 Male 97,786 42,609 2,527 52,632 18 Female 104,611 49,578 1,596 53,414 23 221

Page 235

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated KAKAMEGA SOUTH 98,200 44,976 2,971 50,237 16 Male 46,419 19,999 1,966 24,445 9 Female 51,781 24,977 1,005 25,792 7 KHWISERO 99,683 46,901 1,920 50,852 10 Male 46,827 20,747 1,247 24,829 4 Female 52,854 26,153 673 26,022 6 LIKUYANI 126,091 52,953 5,588 67,537 13 Male 60,866 24,240 3,424 33,193 9 Female 65,224 28,713 2,164 34,343 4 LUGARI 106,758 49,764 3,232 53,755 7 Male 51,266 22,567 2,037 26,659 3 Female 55,492 27,197 1,195 27,096 4 MATETE 57,744 24,663 1,768 31,313 - Male 27,582 11,081 993 15,508 - Female 30,162 13,582 775 15,805 - MATUNGU 144,003 62,593 3,349 78,040 21 Male 67,660 27,510 2,014 38,125 11 Female 76,340 35,082 1,335 39,913 10 MUMIAS EAST 90,526 39,839 1,911 48,769 7 Male 43,152 17,823 1,112 24,214 3 Female 47,371 22,015 799 24,553 4 MUMIAS WEST 70,377 31,046 1,463 37,841 27 Male 33,193 13,521 895 18,766 11 Female 37,183 17,524 568 19,075 16 NAVAKHOLO 134,213 60,718 1,830 71,643 22 Male 63,391 27,007 1,192 35,183 9 Female 70,816 33,707 638 36,458 13 VIHIGA 471,601 225,737 12,586 233,201 77 Male 225,938 102,736 8,164 114,997 41 Female 245,654 122,997 4,421 118,200 36 EMUHAYA 84,340 40,405 2,332 41,586 17 Male 40,210 18,133 1,541 20,527 9 Female 44,129 22,272 790 21,059 8 VIHIGA 67,475 33,540 1,312 32,614 9 Male 32,244 15,066 896 16,274 8 Female 35,229 18,472 416 16,340 1 SABATIA 96,959 48,306 2,074 46,564 15 Male 46,239 21,850 1,330 23,054 5 Female 50,719 26,456 744 23,509 10 LUANDA 84,004 39,804 2,874 41,299 27 Male 40,437 18,402 1,820 20,201 14 Female 43,565 21,400 1,054 21,098 13 HAMISI 138,807 63,668 3,993 71,137 9 Male 66,796 29,273 2,577 34,941 5 Female 72,008 34,395 1,416 36,193 4 KAKAMEGA FOREST 16 14 1 1 - Male 12 12 - - - Female 4 2 1 1 - BUNGOMA 1,281,539 558,664 30,692 692,066 117 Male 621,083 256,536 19,278 345,205 64 Female 660,430 302,119 11,413 346,845 53 BUMULA 187,281 82,608 4,150 100,521 2 Male 89,237 36,793 2,535 49,907 2 Female 98,043 45,815 1,615 50,613 - BUNGOMA CENTRAL 145,615 67,310 2,707 75,594 4 Male 70,586 31,192 1,807 37,584 3 Female 75,022 36,115 899 38,007 1 222

Page 236

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated BUNGOMA EAST 82,002 35,499 1,872 44,610 21 Male 39,655 16,084 1,144 22,416 11 Female 42,346 19,414 728 22,194 10 BUNGOMA NORTH 105,163 44,799 2,611 57,740 13 Male 50,746 20,340 1,567 28,832 7 Female 54,416 24,459 1,044 28,907 6 BUNGOMA SOUTH 190,224 80,417 6,884 102,918 5 Male 92,065 37,543 4,261 50,258 3 Female 98,156 42,873 2,623 52,658 2 CHEPTAIS 111,539 48,670 2,181 60,674 14 Male 55,577 23,190 1,349 31,029 9 Female 55,957 25,478 832 29,642 5 KIMILILI 92,228 37,818 3,215 51,192 3 Male 44,445 17,252 1,951 25,241 1 Female 47,781 20,565 1,264 25,950 2 MT ELGON 61,809 26,522 1,039 34,241 7 Male 30,546 12,638 704 17,200 4 Female 31,261 13,883 335 17,040 3 BUNGOMA WEST 101,981 46,509 1,787 53,659 26 Male 49,381 21,392 1,112 26,865 12 Female 52,599 25,117 675 26,793 14 TONGAREN 87,309 36,835 2,520 47,938 16 Male 42,193 16,522 1,722 23,941 8 Female 45,115 20,313 798 23,996 8 WEBUYE WEST 113,415 50,357 1,710 61,342 6 Male 55,106 22,915 1,115 31,072 4 Female 58,307 27,442 595 30,268 2 MT. ELGON FOREST 2,973 1,320 16 1,637 - Male 1,546 675 11 860 - Female 1,427 645 5 777 - BUSIA 679,568 310,725 15,422 353,378 43 Male 321,126 138,205 9,270 173,632 19 Female 358,417 172,513 6,152 179,728 24 BUNYALA 64,804 29,268 1,729 33,800 7 Male 31,007 13,456 944 16,604 3 Female 33,796 15,812 785 17,195 4 BUSIA 87,395 39,167 2,698 45,523 7 Male 41,616 17,731 1,655 22,226 4 Female 45,778 21,436 1,043 23,296 3 BUTULA 121,531 54,816 2,790 63,922 3 Male 55,831 23,089 1,614 31,126 2 Female 65,697 31,725 1,176 32,795 1 NAMBALE 93,894 41,875 1,993 50,018 8 Male 44,314 18,717 1,213 24,381 3 Female 49,577 23,156 780 25,636 5 SAMIA 90,297 42,024 2,172 46,101 - Male 42,600 18,531 1,362 22,707 - Female 47,683 23,491 810 23,382 - TESO NORTH 102,718 47,747 2,017 52,950 4 Male 49,180 21,639 1,214 26,325 2 Female 53,537 26,108 803 26,624 2 TESO SOUTH 118,929 55,828 2,023 61,064 14 Male 56,578 25,042 1,268 30,263 5 Female 62,349 30,785 755 30,800 9 SIAYA 795,024 380,269 18,168 396,307 280 Male 374,905 168,216 10,358 196,192 139 Female 420,105 212,043 7,809 200,112 141 223

Page 237

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated SIAYA 167,388 81,756 3,314 82,219 99 Male 77,979 35,537 2,053 40,342 47 Female 89,405 46,216 1,261 41,876 52 GEM 154,832 75,702 2,816 76,247 67 Male 73,323 33,585 1,728 37,973 37 Female 81,506 42,116 1,087 38,273 30 UGENYA 113,652 53,859 2,234 57,555 4 Male 52,588 22,620 1,278 28,687 3 Female 61,061 31,236 956 28,868 1 UGUNJA 84,405 40,899 1,719 41,778 9 Male 39,334 17,712 948 20,669 5 Female 45,071 23,187 771 21,109 4 BONDO 144,865 68,014 4,555 72,256 40 Male 70,200 32,156 2,414 35,611 19 Female 74,663 35,857 2,141 36,644 21 RARIEDA 129,882 60,039 3,530 66,252 61 Male 61,481 26,606 1,937 32,910 28 Female 68,399 33,431 1,593 33,342 33 KISUMU 625,384 273,120 21,664 330,458 142 Male 299,443 124,441 12,707 162,226 69 Female 325,935 148,675 8,956 168,231 73 KISUMU EAST 47,373 19,928 2,598 24,838 9 Male 22,782 9,633 1,564 11,583 2 Female 24,590 10,294 1,034 13,255 7 KISUMU CENTRAL - - - - - Male - - - - - Female - - - - - KISUMU WEST 95,785 42,625 3,978 49,166 16 Male 46,146 19,713 2,338 24,089 6 Female 49,638 22,911 1,640 25,077 10 SEME 106,470 47,724 2,243 56,492 11 Male 50,090 20,710 1,405 27,970 5 Female 56,379 27,013 838 28,522 6 MUHORONI 124,014 56,106 3,845 64,044 19 Male 61,148 27,062 2,293 31,781 12 Female 62,865 29,044 1,552 32,262 7 NYANDO 125,607 53,871 4,673 67,025 38 Male 59,848 24,326 2,700 32,802 20 Female 65,758 29,544 1,973 34,223 18 NYAKACH 126,135 52,866 4,327 68,893 49 Male 59,429 22,997 2,407 34,001 24 Female 66,705 29,869 1,919 34,892 25 HOMA BAY 875,773 377,888 22,066 475,752 67 Male 414,023 164,507 12,290 237,194 32 Female 461,733 213,371 9,775 238,552 35 HOMA BAY 55,479 23,858 1,062 30,559 - Male 26,082 10,144 615 15,323 - Female 29,397 13,714 447 15,236 - NDHIWA 180,027 79,480 3,417 97,118 12 Male 84,890 34,155 2,004 48,725 6 Female 95,131 45,322 1,412 48,391 6 RACHUONYO NORTH 150,158 65,863 3,926 80,351 18 Male 71,159 28,999 2,207 39,944 9 Female 78,995 36,860 1,719 40,407 9 RACHUONYO EAST 105,522 45,566 2,076 57,878 2 Male 49,596 19,294 1,254 29,047 1 Female 55,924 26,271 822 28,830 1 224

Page 238

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated RACHUONYO SOUTH 96,266 42,293 2,114 51,858 1 Male 44,976 18,017 1,234 25,724 1 Female 51,290 24,276 880 26,134 - RANGWE 101,323 42,651 2,645 56,012 15 Male 47,099 17,738 1,348 28,008 5 Female 54,221 24,912 1,297 28,002 10 SUBA NORTH 94,937 39,782 3,979 51,171 5 Male 45,863 18,433 2,236 25,191 3 Female 49,074 21,349 1,743 25,980 2 SUBA SOUTH 92,061 38,395 2,847 50,805 14 Male 44,358 17,727 1,392 25,232 7 Female 47,701 20,667 1,455 25,572 7 MIGORI 807,279 344,162 23,327 439,598 192 Male 385,415 153,458 13,291 218,579 87 Female 421,835 190,692 10,034 221,004 105 AWENDO 86,008 37,767 1,854 46,359 28 Male 40,846 16,536 1,169 23,128 13 Female 45,160 21,230 685 23,230 15 KURIA EAST 81,510 35,412 2,359 43,711 28 Male 39,331 15,981 1,317 22,022 11 Female 42,172 19,428 1,042 21,685 17 KURIA WEST 137,910 59,177 4,431 74,265 37 Male 66,594 27,102 2,468 37,011 13 Female 71,311 32,073 1,962 37,252 24 NYATIKE 138,898 55,802 5,715 77,354 27 Male 65,631 24,570 3,110 37,936 15 Female 73,260 31,229 2,605 39,414 12 RONGO 89,695 37,912 2,504 49,271 8 Male 42,505 16,568 1,460 24,475 2 Female 47,189 21,344 1,044 24,795 6 SUNA EAST 79,824 35,163 1,761 42,875 25 Male 38,184 15,753 1,001 21,416 14 Female 41,637 19,409 760 21,457 11 SUNA WEST 72,405 30,363 2,001 40,036 5 Male 34,297 13,355 1,269 19,670 3 Female 38,107 17,007 732 20,366 2 URIRI 121,029 52,566 2,702 65,727 34 Male 58,027 23,593 1,497 32,921 16 Female 62,999 28,972 1,204 32,805 18 KISII 987,143 450,445 32,299 504,275 124 Male 467,664 199,424 19,596 248,589 55 Female 519,454 251,013 12,700 255,672 69 ETAGO 73,492 31,267 1,735 40,485 5 Male 35,023 13,847 1,101 20,073 2 Female 38,466 17,419 634 20,410 3 GUCHA 70,288 32,164 1,920 36,183 21 Male 32,995 14,117 1,125 17,744 9 Female 37,292 18,046 795 18,439 12 GUCHA SOUTH 71,413 31,728 2,360 37,293 32 Male 33,999 14,038 1,357 18,587 17 Female 37,411 17,688 1,003 18,705 15 KENYENYA 107,774 48,712 3,257 55,799 6 Male 51,150 21,585 1,995 27,567 3 Female 56,622 27,126 1,262 28,231 3 KISII CENTRAL 99,028 46,289 3,964 48,768 7 Male 47,432 21,131 2,420 23,878 3 Female 51,595 25,158 1,544 24,889 4 225

Page 239

Table 2.8c: Distribution of Rural Population Age 5 Years and above by Activity Status, Sex, County and Sub-County Persons in the Labour Force Seeking Work/No Work Persons outside the Labour Sub-County3/Sex1 Total Working Available Force2 Not Stated KISII SOUTH 107,610 47,382 4,291 55,936 1 Male 51,225 21,456 2,682 27,086 1 Female 56,380 25,926 1,608 28,846 - KITUTU CENTRAL 84,349 36,613 3,988 43,731 17 Male 40,328 16,719 2,429 21,172 8 Female 44,021 19,894 1,559 22,559 9 MARANI 95,168 45,177 2,927 47,045 19 Male 44,453 19,248 1,755 23,442 8 Female 50,714 25,929 1,172 23,602 11 MASABA SOUTH 104,685 50,324 2,571 51,785 5 Male 49,249 21,837 1,533 25,877 2 Female 55,433 28,485 1,038 25,907 3 NYAMACHE 113,966 53,108 3,469 57,380 9 Male 53,830 23,111 2,093 28,625 1 Female 60,134 29,996 1,375 28,755 8 SAMETA 59,370 27,681 1,817 29,870 2 Male 27,980 12,335 1,106 14,538 1 Female 31,386 15,346 710 15,329 1 NYAMIRA 497,702 233,371 15,839 248,448 44 Male 237,697 105,371 9,974 122,334 18 Female 259,994 127,997 5,865 126,106 26 BORABU 58,163 27,036 2,498 28,623 6 Male 29,228 13,417 1,474 14,335 2 Female 28,935 13,619 1,024 14,288 4 MANGA 82,435 38,833 3,172 40,419 11 Male 38,978 17,223 2,072 19,679 4 Female 43,456 21,610 1,100 20,739 7 MASABA NORTH 92,815 43,211 2,590 47,007 7 Male 43,588 18,995 1,651 22,939 3 Female 49,225 24,215 939 24,067 4 NYAMIRA NORTH 147,609 68,657 4,686 74,263 3 Male 70,467 30,857 2,962 36,646 2 Female 77,137 37,799 1,724 37,613 1 NYAMIRA SOUTH 116,680 55,634 2,893 58,136 17 Male 55,436 24,879 1,815 28,735 7 Female 61,241 30,754 1,078 29,399 10 1 Intersex population is excluded from the table since it is too small to be distributed at sub-national level. 2 Persons outside the labour force is what was formally referred to as the economically inactive and includes: full-time students,home makers, the retired, incapacitated persons and those who are either too young or too old to work. 3 Mombasa and Nairobi City counties are excluded because they are wholly urban. 226

Page 240

Table 2.9a: Distribution of Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Persons outside Seeking Work/ No the Labour Broad Age Groups/County Total Working Work Available Force1 Not Stated KENYA 4 1,235,190 1 9,677,401 2 ,621,158 1 8,927,688 8 ,943 5 - 14 1 2,505,987 9 69,868 - 1 1,534,179 1 ,940 15 - 17 3 ,360,980 3 79,497 1 27,428 2 ,853,492 5 63 18 - 24 6 ,288,095 2 ,891,426 7 08,167 2 ,687,184 1 ,318 25 - 34 7 ,333,397 5 ,544,992 9 39,317 8 47,376 1 ,712 35 - 64 9 ,886,139 8 ,371,755 7 91,492 7 20,494 2 ,398 65 + 1 ,860,021 1 ,519,863 5 4,754 2 84,963 4 41 Not Stated 5 71 - - - 5 71 MOMBASA 1 ,043,603 4 23,439 1 41,942 4 77,965 2 57 5 - 14 2 43,191 3 ,289 - 2 39,864 3 8 15 - 17 5 6,896 2 ,823 2 ,632 5 1,432 9 18 - 24 1 79,599 6 4,289 3 8,583 7 6,691 3 6 25 - 34 2 60,491 1 58,840 5 3,967 4 7,620 6 4 35 - 64 2 80,908 1 86,702 4 4,595 4 9,532 7 9 65 + 2 2,494 7 ,496 2 ,165 1 2,826 7 Not Stated 2 4 - - - 2 4 KWALE 7 28,767 3 33,587 4 4,175 3 50,840 1 65 5 - 14 2 55,799 2 4,000 - 2 31,756 4 3 15 - 17 6 0,598 8 ,881 1 ,418 5 0,290 9 18 - 24 1 06,584 5 5,440 1 1,314 3 9,807 2 3 25 - 34 1 16,234 8 9,047 1 5,303 1 1,863 2 1 35 - 64 1 56,787 1 29,684 1 4,669 1 2,385 4 9 65 + 3 2,755 2 6,535 1 ,471 4 ,739 1 0 Not Stated 1 0 - - - 1 0 KILIFI 1 ,240,674 5 34,420 7 7,211 6 28,808 2 35 5 - 14 4 10,494 2 1,201 - 3 89,237 5 6 15 - 17 1 06,780 7 ,783 1 ,733 9 7,249 1 5 18 - 24 1 97,338 8 9,307 2 1,155 8 6,852 2 4 25 - 34 2 05,386 1 54,294 2 7,712 2 3,339 4 1 35 - 64 2 65,114 2 17,054 2 4,601 2 3,395 6 4 65 + 5 5,546 4 4,781 2 ,010 8 ,736 1 9 Not Stated 1 6 - - - 1 6 TANA RIVER 2 61,570 1 18,026 2 5,851 1 17,572 1 21 5 - 14 9 9,420 2 4,158 - 7 5,226 3 6 15 - 17 2 0,986 5 ,593 1 ,653 1 3,732 8 18 - 24 3 8,818 1 9,475 6 ,746 1 2,580 1 7 25 - 34 3 9,780 2 5,745 7 ,804 6 ,211 2 0 35 - 64 5 2,773 3 7,013 8 ,667 7 ,065 2 8 65 + 9 ,787 6 ,042 9 81 2 ,758 6 Not Stated 6 - - - 6 LAMU 1 23,237 6 0,478 6 ,802 5 5,921 3 6 5 - 14 3 6,847 3 ,290 - 3 3,553 4 15 - 17 9 ,362 1 ,292 2 15 7 ,854 1 18 - 24 1 8,425 9 ,865 1 ,867 6 ,688 5 25 - 34 2 1,754 1 7,024 2 ,180 2 ,544 6 35 - 64 3 1,188 2 5,012 2 ,371 3 ,791 1 4 65 + 5 ,657 3 ,995 1 69 1 ,491 2 Not Stated 4 - - - 4 TAITA/TAVETA 2 97,186 1 61,750 1 5,886 1 19,483 6 7 5 - 14 7 6,972 2 ,009 - 7 4,946 1 7 15 - 17 2 1,951 2 ,317 3 34 1 9,297 3 18 - 24 4 1,316 2 3,188 4 ,285 1 3,833 1 0 25 - 34 4 9,577 4 0,257 5 ,243 4 ,067 1 0 35 - 64 8 7,747 7 7,234 5 ,675 4 ,815 2 3 65 + 1 9,620 1 6,745 3 49 2 ,525 1 Not Stated 3 - - - 3 GARISSA 7 23,909 2 59,150 1 67,274 2 97,333 1 52 5 - 14 2 70,735 8 5,334 - 1 85,361 4 0 15 - 17 7 6,510 2 3,761 2 5,368 2 7,371 1 0 18 - 24 1 25,352 4 2,540 4 7,446 3 5,336 3 0 25 - 34 1 14,266 4 8,334 4 3,483 2 2,416 3 3 35 - 64 1 22,811 5 3,918 4 6,178 2 2,686 2 9 65 + 1 4,231 5 ,263 4 ,799 4 ,163 6 Not Stated 4 - - - 4 227

Page 241

Table 2.9a: Distribution of Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Persons outside Seeking Work/ No the Labour Broad Age Groups/County Total Working Work Available Force1 Not Stated WAJIR 6 52,575 2 90,686 1 16,074 2 45,753 6 2 5 - 14 2 69,151 1 02,667 - 1 66,465 1 9 15 - 17 6 6,941 2 4,206 1 8,466 2 4,261 8 18 - 24 9 6,144 4 2,282 2 9,759 2 4,090 1 3 25 - 34 1 01,966 5 5,312 3 1,457 1 5,188 9 35 - 64 1 06,927 5 9,977 3 3,406 1 3,533 1 1 65 + 1 1,446 6 ,242 2 ,986 2 ,216 2 Not Stated - - - - - MANDERA 7 01,187 3 03,296 9 3,806 3 03,960 1 25 5 - 14 3 13,355 1 14,937 - 1 98,368 5 0 15 - 17 7 1,718 2 6,356 1 5,726 2 9,630 6 18 - 24 1 08,142 4 6,918 2 7,176 3 4,029 1 9 25 - 34 9 8,411 5 2,765 2 4,832 2 0,783 3 1 35 - 64 9 7,064 5 5,498 2 3,568 1 7,980 1 8 65 + 1 2,496 6 ,822 2 ,504 3 ,170 - Not Stated 1 - - - 1 MARSABIT 3 78,184 1 78,797 4 7,232 1 51,967 1 88 5 - 14 1 45,629 4 9,486 - 9 6,034 1 09 15 - 17 3 7,619 1 3,751 6 ,353 1 7,510 5 18 - 24 5 9,128 2 9,157 1 3,009 1 6,949 1 3 25 - 34 5 8,509 3 6,334 1 3,453 8 ,694 2 8 35 - 64 6 3,564 4 1,948 1 2,640 8 ,950 2 6 65 + 1 3,730 8 ,121 1 ,777 3 ,830 2 Not Stated 5 - - - 5 ISIOLO 2 27,379 1 01,678 2 7,529 9 8,134 3 8 5 - 14 8 0,059 2 0,469 - 5 9,585 5 15 - 17 2 1,120 6 ,262 2 ,413 1 2,441 4 18 - 24 3 4,759 1 6,099 7 ,298 1 1,355 7 25 - 34 3 9,026 2 4,527 8 ,547 5 ,944 8 35 - 64 4 4,301 2 9,737 8 ,364 6 ,189 1 1 65 + 8 ,113 4 ,584 9 07 2 ,620 2 Not Stated 1 - - - 1 MERU 1 ,365,848 7 00,387 7 6,275 5 88,805 3 81 5 - 14 3 68,655 1 1,948 - 3 56,629 7 8 15 - 17 1 04,222 1 2,121 2 ,645 8 9,436 2 0 18 - 24 1 90,702 9 4,545 1 8,535 7 7,573 4 9 25 - 34 2 27,794 1 77,381 2 6,396 2 3,959 5 8 35 - 64 3 88,090 3 34,518 2 6,561 2 6,881 1 30 65 + 8 6,360 6 9,874 2 ,138 1 4,327 2 1 Not Stated 2 5 - - - 2 5 THARAKA-NITHI 3 51,034 1 91,231 1 3,707 1 46,026 7 0 5 - 14 9 1,047 3 ,094 - 8 7,949 4 15 - 17 2 7,379 2 ,359 2 31 2 4,785 4 18 - 24 4 6,662 2 1,825 3 ,003 2 1,829 5 25 - 34 5 4,313 4 5,099 4 ,873 4 ,326 1 5 35 - 64 1 03,842 9 4,445 5 ,173 4 ,196 2 8 65 + 2 7,781 2 4,409 4 27 2 ,941 4 Not Stated 1 0 - - - 1 0 EMBU 5 43,425 3 17,105 1 9,986 2 06,286 4 8 5 - 14 1 28,640 4 ,036 - 1 24,596 8 15 - 17 4 0,356 4 ,048 3 30 3 5,976 2 18 - 24 7 5,302 4 0,853 5 ,021 2 9,426 2 25 - 34 9 0,844 7 7,204 7 ,093 6 ,538 9 35 - 64 1 69,750 1 56,479 7 ,130 6 ,125 1 6 65 + 3 8,528 3 4,485 4 12 3 ,625 6 Not Stated 5 - - - 5 KITUI 1 ,004,160 4 86,486 3 1,902 4 85,625 1 47 5 - 14 3 17,256 1 2,148 - 3 05,074 3 4 15 - 17 1 00,719 7 ,977 7 79 9 1,952 1 1 18 - 24 1 37,905 6 6,609 7 ,817 6 3,466 1 3 25 - 34 1 34,497 1 15,028 1 0,465 8 ,985 1 9 35 - 64 2 42,219 2 20,328 1 1,611 1 0,228 5 2 65 + 7 1,554 6 4,396 1 ,230 5 ,920 8 Not Stated 1 0 - - - 1 0 228

Page 242

Table 2.9a: Distribution of Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Persons outside Seeking Work/ No the Labour Broad Age Groups/County Total Working Work Available Force1 Not Stated MACHAKOS 1 ,267,555 6 70,368 7 6,771 5 20,217 1 99 5 - 14 3 15,896 6 ,324 - 3 09,539 3 3 15 - 17 9 4,157 6 ,147 1 ,009 8 6,989 1 2 18 - 24 1 82,209 8 7,810 1 9,736 7 4,632 3 1 25 - 34 2 29,012 1 78,193 2 8,986 2 1,793 4 0 35 - 64 3 67,045 3 21,256 2 5,893 1 9,835 6 1 65 + 7 9,223 7 0,638 1 ,147 7 ,429 9 Not Stated 1 3 - - - 1 3 MAKUENI 8 80,923 4 56,299 3 2,008 3 92,458 1 58 5 - 14 2 47,033 5 ,391 - 2 41,611 3 1 15 - 17 8 0,688 4 ,506 4 85 7 5,686 1 1 18 - 24 1 20,225 5 8,037 7 ,650 5 4,514 2 4 25 - 34 1 28,973 1 09,335 1 1,264 8 ,352 2 2 35 - 64 2 37,586 2 17,803 1 1,785 7 ,950 4 8 65 + 6 6,411 6 1,227 8 24 4 ,345 1 5 Not Stated 7 - - - 7 NYANDARUA 5 66,158 3 18,818 9 ,880 2 37,397 6 3 5 - 14 1 57,376 3 ,476 - 1 53,886 1 4 15 - 17 4 9,727 4 ,437 2 04 4 5,083 3 18 - 24 7 3,673 4 1,028 3 ,129 2 9,510 6 25 - 34 8 0,525 7 3,314 3 ,442 3 ,763 6 35 - 64 1 69,020 1 63,181 2 ,982 2 ,835 2 2 65 + 3 5,833 3 3,382 1 23 2 ,320 8 Not Stated 4 - - - 4 NYERI 6 79,998 4 04,432 2 4,702 2 50,817 4 7 5 - 14 1 50,950 1 ,977 - 1 48,971 2 15 - 17 4 5,907 1 ,970 2 04 4 3,733 - 18 - 24 8 5,389 3 9,828 6 ,408 3 9,150 3 25 - 34 1 02,465 8 6,686 8 ,477 7 ,293 9 35 - 64 2 35,197 2 19,439 9 ,147 6 ,591 2 0 65 + 6 0,082 5 4,532 4 66 5 ,079 5 Not Stated 8 - - - 8 KIRINYAGA 5 48,367 3 37,519 1 7,941 1 92,868 3 9 5 - 14 1 17,875 1 ,640 - 1 16,233 2 15 - 17 3 7,071 2 ,285 2 60 3 4,524 2 18 - 24 6 6,597 3 5,198 4 ,412 2 6,985 2 25 - 34 9 0,620 7 9,001 6 ,231 5 ,381 7 35 - 64 1 96,827 1 84,682 6 ,687 5 ,442 1 6 65 + 3 9,371 3 4,713 3 51 4 ,303 4 Not Stated 6 - - - 6 MURANG’A 9 42,756 5 49,832 3 3,957 3 58,831 1 36 5 - 14 2 31,593 3 ,939 - 2 27,637 1 7 15 - 17 6 8,440 4 ,946 5 62 6 2,926 6 18 - 24 1 11,584 5 9,164 8 ,797 4 3,607 1 6 25 - 34 1 35,680 1 15,912 1 1,115 8 ,636 1 7 35 - 64 3 06,001 2 84,638 1 2,839 8 ,483 4 1 65 + 8 9,446 8 1,233 6 44 7 ,542 2 7 Not Stated 1 2 - - - 1 2 KIAMBU 2 ,125,316 1 ,116,365 1 65,846 8 42,577 5 28 5 - 14 4 67,075 4 ,258 - 4 62,748 6 9 15 - 17 1 26,170 6 ,333 1 ,815 1 17,999 2 3 18 - 24 3 48,011 1 60,897 4 6,146 1 40,871 9 7 25 - 34 4 80,432 3 60,020 6 2,922 5 7,359 1 31 35 - 64 6 17,872 5 19,386 5 3,077 4 5,267 1 42 65 + 8 5,720 6 5,471 1 ,886 1 8,333 3 0 Not Stated 3 6 - - - 3 6 TURKANA 7 91,011 3 27,808 1 45,174 3 17,342 6 87 5 - 14 2 86,631 9 8,817 - 1 87,570 2 44 15 - 17 7 6,261 2 7,129 1 7,200 3 1,856 7 6 18 - 24 1 36,237 5 3,695 3 9,418 4 3,010 1 14 25 - 34 1 31,835 6 3,619 4 3,558 2 4,555 1 03 35 - 64 1 36,885 7 2,757 4 0,532 2 3,467 1 29 65 + 2 3,159 1 1,791 4 ,466 6 ,884 1 8 Not Stated 3 - - - 3 229

Page 243

Table 2.9a: Distribution of Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Persons outside Seeking Work/ No the Labour Broad Age Groups/County Total Working Work Available Force1 Not Stated WEST POKOT 5 05,029 2 41,125 1 9,661 2 44,145 9 8 5 - 14 2 03,229 4 5,982 - 1 57,209 3 8 15 - 17 4 4,222 9 ,231 1 ,161 3 3,822 8 18 - 24 7 6,499 3 7,766 4 ,709 3 4,016 8 25 - 34 7 6,936 6 0,444 6 ,967 9 ,506 1 9 35 - 64 8 6,336 7 3,186 6 ,024 7 ,107 1 9 65 + 1 7,804 1 4,516 8 00 2 ,485 3 Not Stated 3 - - - 3 SAMBURU 2 57,368 1 44,384 1 4,181 9 8,776 2 7 5 - 14 1 00,775 3 8,566 - 6 2,199 1 0 15 - 17 2 3,046 9 ,004 1 ,300 1 2,739 3 18 - 24 4 1,675 2 4,854 3 ,992 1 2,828 1 25 - 34 3 9,685 3 0,594 4 ,263 4 ,824 4 35 - 64 4 2,945 3 4,425 4 ,063 4 ,452 5 65 + 9 ,240 6 ,941 5 63 1 ,734 2 Not Stated 2 - - - 2 TRANS NZOIA 8 56,006 3 60,674 3 8,655 4 56,613 6 4 5 - 14 2 91,222 9 ,780 - 2 81,427 1 5 15 - 17 8 1,024 5 ,861 9 56 7 4,205 2 18 - 24 1 27,311 5 4,509 9 ,268 6 3,521 1 3 25 - 34 1 31,346 9 9,880 1 4,263 1 7,194 9 35 - 64 1 90,817 1 62,191 1 3,162 1 5,448 1 6 65 + 3 4,282 2 8,453 1 ,006 4 ,818 5 Not Stated 4 - - - 4 UASIN GISHU 1 ,012,918 4 51,826 6 5,879 4 95,077 1 36 5 - 14 2 86,060 4 ,361 - 2 81,679 2 0 15 - 17 8 2,270 3 ,896 8 55 7 7,508 1 1 18 - 24 1 74,786 6 9,096 1 7,218 8 8,454 1 8 25 - 34 1 96,801 1 42,357 2 8,243 2 6,170 3 1 35 - 64 2 38,637 2 02,631 1 8,662 1 7,307 3 7 65 + 3 4,353 2 9,485 9 01 3 ,959 8 Not Stated 1 1 - - - 1 1 ELGEYO/MARAKWET 3 92,505 1 72,899 1 5,407 2 04,139 6 0 5 - 14 1 30,209 4 ,162 - 1 26,029 1 8 15 - 17 3 5,643 2 ,684 3 06 3 2,652 1 18 - 24 6 2,140 2 8,457 3 ,931 2 9,740 1 2 25 - 34 6 1,557 4 9,081 6 ,055 6 ,414 7 35 - 64 8 3,764 7 3,018 4 ,631 6 ,099 1 6 65 + 1 9,191 1 5,497 4 84 3 ,205 5 Not Stated 1 - - - 1 NANDI 7 77,779 3 66,657 2 5,493 3 85,549 8 0 5 - 14 2 42,079 5 ,954 - 2 36,105 2 0 15 - 17 6 9,716 4 ,068 4 16 6 5,224 8 18 - 24 1 18,772 5 1,713 6 ,197 6 0,851 1 1 25 - 34 1 29,946 1 07,926 1 0,378 1 1,631 1 1 35 - 64 1 81,376 1 64,935 7 ,924 8 ,493 2 4 65 + 3 5,888 3 2,061 5 78 3 ,245 4 Not Stated 2 - - - 2 BARINGO 5 67,970 2 73,503 2 8,604 2 65,820 4 3 5 - 14 2 00,603 3 3,289 - 1 67,302 1 2 15 - 17 5 2,610 9 ,685 1 ,630 4 1,293 2 18 - 24 8 9,419 4 5,237 8 ,182 3 5,995 5 25 - 34 8 6,059 6 6,535 1 0,104 9 ,410 1 0 35 - 64 1 13,679 9 7,729 7 ,919 8 ,022 9 65 + 2 5,599 2 1,028 7 69 3 ,798 4 Not Stated 1 - - - 1 LAIKIPIA 4 48,546 2 39,295 2 1,564 1 87,649 3 8 5 - 14 1 29,131 1 0,985 - 1 18,139 7 15 - 17 3 6,222 4 ,236 6 47 3 1,339 - 18 - 24 6 2,901 3 2,613 5 ,707 2 4,576 5 25 - 34 7 3,066 6 0,165 7 ,316 5 ,579 6 35 - 64 1 22,146 1 09,321 7 ,435 5 ,380 1 0 65 + 2 5,077 2 1,975 4 59 2 ,636 7 Not Stated 3 - - - 3 230

Page 244

Table 2.9a: Distribution of Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Persons outside Seeking Work/ No the Labour Broad Age Groups/County Total Working Work Available Force1 Not Stated NAKURU 1 ,870,222 9 09,666 9 4,842 8 65,402 3 12 5 - 14 5 39,423 1 2,687 - 5 26,679 5 7 15 - 17 1 48,296 1 1,437 1 ,780 1 35,042 3 7 18 - 24 2 95,500 1 39,455 2 7,243 1 28,749 5 3 25 - 34 3 46,839 2 74,558 3 5,588 3 6,647 4 6 35 - 64 4 67,225 4 10,068 2 8,876 2 8,202 7 9 65 + 7 2,911 6 1,461 1 ,355 1 0,083 1 2 Not Stated 2 8 - - - 2 8 NAROK 9 61,649 4 64,247 2 3,739 4 73,475 1 88 5 - 14 3 78,059 4 8,246 - 3 29,768 4 5 15 - 17 8 0,930 1 3,455 1 ,055 6 6,408 1 2 18 - 24 1 42,832 8 4,271 6 ,283 5 2,252 2 6 25 - 34 1 53,581 1 32,408 8 ,594 1 2,542 3 7 35 - 64 1 78,505 1 61,704 7 ,241 9 ,504 5 6 65 + 2 7,735 2 4,163 5 66 3 ,001 5 Not Stated 7 - - - 7 KAJIADO 9 51,420 4 52,921 7 9,919 4 18,261 3 19 5 - 14 2 73,292 2 0,668 - 2 52,560 6 4 15 - 17 6 1,781 6 ,622 1 ,796 5 3,345 1 8 18 - 24 1 56,110 7 4,276 2 1,476 6 0,300 5 8 25 - 34 2 12,424 1 55,137 3 1,344 2 5,871 7 2 35 - 64 2 24,284 1 79,694 2 3,947 2 0,563 8 0 65 + 2 3,512 1 6,524 1 ,356 5 ,622 1 0 Not Stated 1 7 - - - 1 7 KERICHO 7 87,507 3 91,168 2 1,807 3 74,322 2 10 5 - 14 2 44,952 6 ,564 - 2 38,338 5 0 15 - 17 6 8,385 5 ,456 3 97 6 2,517 1 5 18 - 24 1 23,103 6 2,199 6 ,269 5 4,612 2 3 25 - 34 1 41,815 1 21,886 9 ,361 1 0,519 4 9 35 - 64 1 76,273 1 64,864 5 ,439 5 ,918 5 2 65 + 3 2,966 3 0,199 3 41 2 ,418 8 Not Stated 1 3 - - - 1 3 BOMET 7 62,274 3 62,007 1 6,249 3 83,946 7 2 5 - 14 2 53,691 5 ,838 - 2 47,839 1 4 15 - 17 7 1,333 5 ,172 3 32 6 5,820 9 18 - 24 1 19,220 5 9,234 4 ,876 5 5,099 1 1 25 - 34 1 28,309 1 12,525 7 ,011 8 ,765 8 35 - 64 1 58,008 1 49,701 3 ,801 4 ,483 2 3 65 + 3 1,710 2 9,537 2 29 1 ,940 4 Not Stated 3 - - - 3 KAKAMEGA 1 ,635,814 7 36,602 4 9,344 8 49,497 3 71 5 - 14 5 59,971 1 9,573 - 5 40,308 9 0 15 - 17 1 55,975 1 2,943 1 ,080 1 41,933 1 9 18 - 24 2 30,376 1 05,247 1 2,118 1 12,965 4 6 25 - 34 2 29,677 1 89,612 1 8,362 2 1,649 5 4 35 - 64 3 74,088 3 36,532 1 6,512 2 0,941 1 03 65 + 8 5,701 7 2,695 1 ,272 1 1,701 3 3 Not Stated 2 6 - - - 2 6 VIHIGA 5 22,668 2 50,123 1 5,154 2 57,299 9 2 5 - 14 1 65,508 3 ,852 - 1 61,642 1 4 15 - 17 4 8,147 3 ,017 2 23 4 4,896 1 1 18 - 24 6 8,016 3 0,226 3 ,511 3 4,272 7 25 - 34 6 5,459 5 4,091 5 ,504 5 ,849 1 5 35 - 64 1 31,435 1 19,425 5 ,506 6 ,479 2 5 65 + 4 4,096 3 9,512 4 10 4 ,161 1 3 Not Stated 7 - - - 7 BUNGOMA 1 ,445,146 6 29,607 4 0,627 7 74,779 1 33 5 - 14 5 19,430 2 4,720 - 4 94,670 4 0 15 - 17 1 42,634 1 3,148 1 ,119 1 28,357 1 0 18 - 24 2 11,244 9 6,573 9 ,852 1 04,801 1 8 25 - 34 2 10,584 1 73,009 1 5,779 2 1,777 1 9 35 - 64 3 01,341 2 70,834 1 2,893 1 7,582 3 2 65 + 5 9,906 5 1,323 9 84 7 ,592 7 Not Stated 7 - - - 7 231

Page 245

Table 2.9a: Distribution of Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Persons outside Seeking Work/ No the Labour Broad Age Groups/County Total Working Work Available Force1 Not Stated BUSIA 7 73,860 3 51,407 2 2,325 4 00,058 7 0 5 - 14 2 65,692 1 1,986 - 2 53,698 8 15 - 17 7 5,992 8 ,468 6 03 6 6,918 3 18 - 24 1 16,592 5 6,026 5 ,955 5 4,603 8 25 - 34 1 11,989 9 3,410 8 ,309 1 0,265 5 35 - 64 1 65,420 1 49,656 6 ,895 8 ,839 3 0 65 + 3 8,166 3 1,861 5 63 5 ,735 7 Not Stated 9 - - - 9 SIAYA 8 68,276 4 12,930 2 2,225 4 32,797 3 24 5 - 14 2 88,483 7 ,544 - 2 80,856 8 3 15 - 17 7 6,686 5 ,950 3 85 7 0,320 3 1 18 - 24 1 19,555 5 7,892 5 ,930 5 5,690 4 3 25 - 34 1 29,804 1 10,746 8 ,634 1 0,385 3 9 35 - 64 1 94,431 1 79,776 6 ,647 7 ,931 7 7 65 + 5 9,293 5 1,022 6 29 7 ,615 2 7 Not Stated 2 4 - - - 2 4 KISUMU 1 ,004,086 4 34,312 5 0,843 5 18,631 3 00 5 - 14 3 10,878 4 ,754 - 3 06,069 5 5 15 - 17 8 4,942 4 ,736 8 00 7 9,390 1 6 18 - 24 1 60,982 6 4,759 1 3,798 8 2,378 4 7 25 - 34 1 83,956 1 38,596 2 0,867 2 4,441 5 2 35 - 64 2 19,036 1 86,601 1 4,582 1 7,765 8 8 65 + 4 4,266 3 4,866 7 96 8 ,588 1 6 Not Stated 2 6 - - - 2 6 HOMA BAY 9 70,400 4 19,128 2 7,424 5 23,766 8 2 5 - 14 3 47,305 9 ,468 - 3 37,820 1 7 15 - 17 8 9,998 6 ,371 5 44 8 3,079 4 18 - 24 1 41,184 6 5,048 6 ,938 6 9,186 1 2 25 - 34 1 48,284 1 22,377 1 1,197 1 4,699 1 1 35 - 64 1 94,441 1 75,868 7 ,991 1 0,562 2 0 65 + 4 9,180 3 9,996 7 54 8 ,420 1 0 Not Stated 8 - - - 8 MIGORI 9 48,018 4 00,538 3 3,117 5 14,155 2 08 5 - 14 3 49,825 1 3,355 - 3 36,414 5 6 15 - 17 8 6,236 8 ,280 1 ,055 7 6,893 8 18 - 24 1 47,370 7 2,184 9 ,004 6 6,150 3 2 25 - 34 1 50,819 1 21,772 1 2,841 1 6,169 3 7 35 - 64 1 77,832 1 56,525 9 ,444 1 1,809 5 4 65 + 3 5,921 2 8,422 7 73 6 ,720 6 Not Stated 1 5 - - - 1 5 KISII 1 ,117,320 5 07,691 4 1,266 5 68,224 1 39 5 - 14 3 66,544 8 ,245 - 3 58,273 2 6 15 - 17 9 7,347 6 ,924 7 63 8 9,655 5 18 - 24 1 53,650 7 1,117 9 ,879 7 2,629 2 5 25 - 34 1 83,228 1 46,916 1 6,553 1 9,736 2 3 35 - 64 2 59,439 2 28,590 1 2,984 1 7,828 3 7 65 + 5 7,099 4 5,899 1 ,087 1 0,103 1 0 Not Stated 1 3 - - - 1 3 NYAMIRA 5 38,716 2 50,423 1 8,614 2 69,627 5 2 5 - 14 1 72,063 3 ,518 - 1 68,532 1 3 15 - 17 4 6,701 3 ,207 3 95 4 3,095 4 18 - 24 6 7,476 3 1,400 3 ,889 3 2,180 7 25 - 34 8 6,511 6 9,601 7 ,151 9 ,752 7 35 - 64 1 35,684 1 18,460 6 ,613 1 0,596 1 5 65 + 3 0,279 2 4,237 5 66 5 ,472 4 Not Stated 2 - - - 2 NAIROBI CITY 3 ,814,871 1 ,812,311 4 22,288 1 ,578,696 1 ,576 5 - 14 8 05,884 7 ,883 - 7 97,786 2 15 15 - 17 1 99,266 8 ,363 5 ,795 1 85,030 7 8 18 - 24 7 01,281 2 79,225 1 23,232 2 98,554 2 70 25 - 34 1 ,062,332 7 28,095 1 75,830 1 57,973 4 34 35 - 64 9 89,479 7 63,332 1 14,150 1 11,563 4 34 65 + 5 6,503 2 5,413 3 ,281 2 7,790 1 9 Not Stated 1 26 - - - 1 26 1 Persons outside the labour force is what was formally referred to as the economically inactive and includes: full-time students,home makers, the retired, incapacitated persons and those who are either too young or too old to work. 232

Page 246

Table 2.9b: Distribution of Rural Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons outside Broad Age No Work the Labour Groups/County2 Total Working Available Force1 Not Stated Kenya 2 8,451,359 1 3,873,424 1 ,283,497 1 3,289,275 5 ,163 5 - 14 9 ,448,847 9 02,041 - 8 ,545,459 1 ,347 15 - 17 2 ,568,562 3 35,479 8 8,554 2 ,144,170 3 59 18 - 24 4 ,006,882 1 ,984,846 3 30,823 1 ,690,532 6 81 25 - 34 4 ,166,006 3 ,373,721 4 17,930 3 73,574 7 81 35 - 64 6 ,668,384 5 ,905,787 4 09,994 3 51,242 1 ,361 65 + 1 ,592,396 1 ,371,550 3 6,196 1 84,298 3 52 Not Stated 2 82 - - - 2 82 KWALE 6 21,486 2 88,030 3 2,067 3 01,241 1 48 5 - 14 2 28,866 2 3,514 - 2 05,312 4 0 15 - 17 5 3,904 8 ,485 1 ,201 4 4,209 9 18 - 24 8 8,244 4 8,239 8 ,034 3 1,951 2 0 25 - 34 9 0,966 7 2,628 1 0,630 7 ,690 1 8 35 - 64 1 29,612 1 10,111 1 0,971 8 ,486 4 4 65 + 2 9,885 2 5,053 1 ,231 3 ,593 8 Not Stated 9 - - - 9 KILIFI 9 02,310 3 93,185 4 1,057 4 67,928 1 40 5 - 14 3 23,148 1 9,825 - 3 03,285 3 8 15 - 17 8 4,603 6 ,661 1 ,053 7 6,876 1 3 18 - 24 1 37,573 6 5,154 1 1,085 6 1,320 1 4 25 - 34 1 27,208 1 02,361 1 3,984 1 0,845 1 8 35 - 64 1 82,622 1 58,441 1 3,579 1 0,567 3 5 65 + 4 7,148 4 0,743 1 ,356 5 ,035 1 4 Not Stated 8 - - - 8 TANA RIVER 1 97,612 9 9,002 1 4,851 8 3,663 9 6 5 - 14 7 9,338 2 3,105 - 5 6,204 2 9 15 - 17 1 6,392 5 ,216 1 ,170 9 ,999 7 18 - 24 2 7,331 1 5,730 3 ,653 7 ,935 1 3 25 - 34 2 7,463 1 9,795 4 ,172 3 ,482 1 4 35 - 64 3 9,328 2 9,892 5 ,209 4 ,206 2 1 65 + 7 ,754 5 ,264 6 47 1 ,837 6 Not Stated 6 - - - 6 LAMU 9 0,801 4 7,441 3 ,914 3 9,419 2 7 5 - 14 2 8,264 3 ,151 - 2 5,109 4 15 - 17 7 ,207 1 ,173 1 35 5 ,898 1 18 - 24 1 3,235 7 ,762 1 ,041 4 ,427 5 25 - 34 1 4,978 1 2,459 1 ,255 1 ,258 6 35 - 64 2 2,668 1 9,379 1 ,394 1 ,888 7 65 + 4 ,445 3 ,517 8 9 8 39 - Not Stated 4 - - - 4 TAITA/TAVETA 2 17,801 1 23,034 8 ,714 8 6,000 5 3 5 - 14 5 7,893 1 ,746 - 5 6,131 1 6 15 - 17 1 6,696 1 ,912 1 90 1 4,591 3 18 - 24 2 8,266 1 6,764 2 ,256 9 ,239 7 25 - 34 3 1,994 2 7,377 2 ,728 1 ,883 6 35 - 64 6 5,759 5 9,953 3 ,311 2 ,477 1 8 65 + 1 7,191 1 5,282 2 29 1 ,679 1 Not Stated 2 - - - 2 GARISSA 5 45,401 2 25,021 1 21,777 1 98,510 9 3 5 - 14 2 06,213 7 7,704 - 1 28,487 2 2 15 - 17 5 7,516 2 1,581 1 9,126 1 6,800 9 18 - 24 9 4,882 3 7,436 3 5,258 2 2,166 2 2 25 - 34 8 4,410 3 9,395 3 0,667 1 4,329 1 9 35 - 64 9 2,644 4 4,547 3 3,626 1 4,454 1 7 65 + 9 ,735 4 ,358 3 ,100 2 ,274 3 Not Stated 1 - - - 1 WAJIR 5 01,258 2 60,518 7 4,706 1 66,002 3 2 5 - 14 2 11,406 9 5,287 - 1 16,113 6 15 - 17 5 0,723 2 2,140 1 2,530 1 6,051 2 18 - 24 7 3,171 3 7,977 1 9,755 1 5,430 9 25 - 34 7 7,548 4 7,834 2 0,234 9 ,474 6 35 - 64 8 0,359 5 1,885 2 0,531 7 ,936 7 65 + 8 ,051 5 ,395 1 ,656 9 98 2 Not Stated - - - - - 233

Page 247

Table 2.9b: Distribution of Rural Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons outside Broad Age No Work the Labour Groups/County2 Total Working Available Force1 Not Stated MANDERA 4 79,727 2 46,879 5 6,916 1 75,845 8 7 5 - 14 2 21,713 9 9,059 - 1 22,633 2 1 15 - 17 4 8,929 2 2,511 1 0,515 1 5,899 4 18 - 24 7 1,690 3 7,668 1 6,688 1 7,315 1 9 25 - 34 6 5,338 4 0,418 1 4,596 1 0,297 2 7 35 - 64 6 4,577 4 2,267 1 3,792 8 ,503 1 5 65 + 7 ,479 4 ,956 1 ,325 1 ,198 - Not Stated 1 - - - 1 MARSABIT 2 88,777 1 56,341 3 1,509 1 00,739 1 88 5 - 14 1 15,523 4 7,923 - 6 7,491 1 09 15 - 17 2 8,171 1 2,634 4 ,653 1 0,879 5 18 - 24 4 3,493 2 4,875 8 ,656 9 ,949 1 3 25 - 34 4 3,347 2 9,497 8 ,608 5 ,214 2 8 35 - 64 4 7,662 3 4,263 8 ,318 5 ,055 2 6 65 + 1 0,576 7 ,149 1 ,274 2 ,151 2 Not Stated 5 - - - 5 ISIOLO 1 19,570 6 5,400 1 1,255 4 2,904 1 1 5 - 14 4 6,311 1 7,418 - 2 8,890 3 15 - 17 1 1,661 5 ,108 1 ,410 5 ,141 2 18 - 24 1 7,123 1 0,273 2 ,958 3 ,890 2 25 - 34 1 8,973 1 3,647 3 ,203 2 ,122 1 35 - 64 2 1,259 1 5,967 3 ,291 1 ,998 3 65 + 4 ,243 2 ,987 3 93 8 63 - Not Stated - - - - - MERU 1 ,247,197 6 37,412 6 5,502 5 43,935 3 48 5 - 14 3 44,652 1 1,599 - 3 32,977 7 6 15 - 17 9 7,937 1 1,721 2 ,502 8 3,696 1 8 18 - 24 1 69,499 8 4,452 1 5,590 6 9,414 4 3 25 - 34 1 96,186 1 53,851 2 1,956 2 0,331 4 8 35 - 64 3 55,722 3 08,051 2 3,426 2 4,124 1 21 65 + 8 3,180 6 7,738 2 ,028 1 3,393 2 1 Not Stated 2 1 - - - 2 1 THARAKA-NITHI 3 22,564 1 75,325 1 1,681 1 35,498 6 0 5 - 14 8 5,649 3 ,038 - 8 2,607 4 15 - 17 2 5,884 2 ,265 2 13 2 3,403 3 18 - 24 4 1,802 1 9,729 2 ,476 1 9,592 5 25 - 34 4 7,534 3 9,959 4 ,043 3 ,521 1 1 35 - 64 9 5,130 8 6,922 4 ,556 3 ,628 2 4 65 + 2 6,556 2 3,412 3 93 2 ,747 4 Not Stated 9 - - - 9 EMBU 4 78,273 2 80,186 1 5,683 1 82,365 3 9 5 - 14 1 16,623 3 ,928 - 1 12,688 7 15 - 17 3 6,951 3 ,857 2 70 3 2,823 1 18 - 24 6 2,958 3 4,969 3 ,780 2 4,207 2 25 - 34 7 4,440 6 4,384 5 ,398 4 ,652 6 35 - 64 1 50,661 1 40,013 5 ,874 4 ,762 1 2 65 + 3 6,635 3 3,035 3 61 3 ,233 6 Not Stated 5 - - - 5 KITUI 9 58,995 4 62,783 2 7,756 4 68,311 1 45 5 - 14 3 07,948 1 2,033 - 2 95,881 3 4 15 - 17 9 8,097 7 ,778 7 09 8 9,599 1 1 18 - 24 1 28,422 6 2,006 6 ,370 6 0,033 1 3 25 - 34 1 22,550 1 05,886 8 ,908 7 ,737 1 9 35 - 64 2 31,341 2 11,282 1 0,594 9 ,415 5 0 65 + 7 0,627 6 3,798 1 ,175 5 ,646 8 Not Stated 1 0 - - - 1 0 MACHAKOS 9 07,268 4 87,598 4 1,410 3 78,190 7 0 5 - 14 2 41,577 5 ,633 - 2 35,934 1 0 15 - 17 7 5,799 5 ,420 6 52 6 9,723 4 18 - 24 1 17,493 5 9,588 9 ,546 4 8,349 1 0 25 - 34 1 31,602 1 09,036 1 3,972 8 ,584 1 0 35 - 64 2 67,939 2 41,470 1 6,371 1 0,073 2 5 65 + 7 2,853 6 6,451 8 69 5 ,527 6 Not Stated 5 - - - 5 234

Page 248

Table 2.9b: Distribution of Rural Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons outside Broad Age No Work the Labour Groups/County2 Total Working Available Force1 Not Stated MAKUENI 8 18,098 4 22,691 2 6,346 3 68,912 1 49 5 - 14 2 33,906 5 ,239 - 2 28,637 3 0 15 - 17 7 7,077 4 ,336 3 99 7 2,331 1 1 18 - 24 1 08,737 5 2,169 5 ,997 5 0,551 2 0 25 - 34 1 12,223 9 6,414 9 ,131 6 ,659 1 9 35 - 64 2 21,341 2 04,481 1 0,088 6 ,725 4 7 65 + 6 4,807 6 0,052 7 31 4 ,009 1 5 Not Stated 7 - - - 7 NYANDARUA 5 08,675 2 85,964 7 ,630 2 15,020 6 1 5 - 14 1 43,857 3 ,332 - 1 40,511 1 4 15 - 17 4 6,095 4 ,231 1 73 4 1,688 3 18 - 24 6 4,129 3 5,742 2 ,395 2 5,986 6 25 - 34 6 7,024 6 1,872 2 ,597 2 ,549 6 35 - 64 1 53,139 1 48,612 2 ,361 2 ,145 2 1 65 + 3 4,428 3 2,175 1 04 2 ,141 8 Not Stated 3 - - - 3 NYERI 5 49,782 3 30,883 1 6,762 2 02,107 3 0 5 - 14 1 24,731 1 ,767 - 1 22,962 2 15 - 17 3 8,782 1 ,717 1 36 3 6,929 - 18 - 24 6 3,368 2 9,645 4 ,167 2 9,555 1 25 - 34 7 1,663 6 2,061 5 ,429 4 ,168 5 35 - 64 1 95,122 1 84,179 6 ,676 4 ,254 1 3 65 + 5 6,112 5 1,514 3 54 4 ,239 5 Not Stated 4 - - - 4 KIRINYAGA 4 29,388 2 67,143 1 1,896 1 50,316 3 3 5 - 14 9 3,136 1 ,362 - 9 1,772 2 15 - 17 2 9,770 1 ,884 1 97 2 7,687 2 18 - 24 4 9,525 2 6,229 2 ,892 2 0,402 2 25 - 34 6 4,809 5 7,515 3 ,976 3 ,314 4 35 - 64 1 57,125 1 48,878 4 ,566 3 ,668 1 3 65 + 3 5,017 3 1,275 2 65 3 ,473 4 Not Stated 6 - - - 6 MURANG’A 8 40,116 4 92,669 2 7,670 3 19,648 1 29 5 - 14 2 09,200 3 ,699 - 2 05,485 1 6 15 - 17 6 2,258 4 ,580 4 70 5 7,202 6 18 - 24 9 5,122 5 0,733 7 ,086 3 7,289 1 4 25 - 34 1 12,685 9 7,640 8 ,804 6 ,225 1 6 35 - 64 2 75,179 2 57,776 1 0,753 6 ,609 4 1 65 + 8 5,661 7 8,241 5 57 6 ,838 2 5 Not Stated 1 1 - - - 1 1 KIAMBU 6 34,583 3 53,038 3 4,523 2 46,914 1 08 5 - 14 1 53,387 1 ,943 - 1 51,429 1 5 15 - 17 4 6,855 2 ,950 5 40 4 3,361 4 18 - 24 8 3,321 4 3,886 9 ,282 3 0,141 1 2 25 - 34 9 7,275 7 8,732 1 0,923 7 ,599 2 1 35 - 64 2 05,270 1 83,550 1 3,191 8 ,496 3 3 65 + 4 8,465 4 1,977 5 87 5 ,888 1 3 Not Stated 1 0 - - - 1 0 TURKANA 6 71,690 3 02,870 1 19,224 2 48,960 6 36 5 - 14 2 49,520 9 7,720 - 1 51,571 2 29 15 - 17 6 4,891 2 6,575 1 5,606 2 2,642 6 8 18 - 24 1 12,880 4 9,402 3 2,150 3 1,224 1 04 25 - 34 1 09,352 5 4,647 3 4,983 1 9,623 9 9 35 - 64 1 15,475 6 3,540 3 2,897 1 8,920 1 18 65 + 1 9,571 1 0,986 3 ,588 4 ,980 1 7 Not Stated 1 - - - 1 WEST POKOT 4 78,369 2 30,760 1 6,822 2 30,692 9 5 5 - 14 1 95,919 4 5,813 - 1 50,068 3 8 15 - 17 4 2,151 9 ,112 1 ,102 3 1,929 8 18 - 24 7 1,384 3 5,969 3 ,922 3 1,486 7 25 - 34 7 0,523 5 6,251 5 ,777 8 ,476 1 9 35 - 64 8 1,077 6 9,396 5 ,262 6 ,401 1 8 65 + 1 7,312 1 4,219 7 59 2 ,332 2 Not Stated 3 - - - 3 235

Page 249

Table 2.9b: Distribution of Rural Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons outside Broad Age No Work the Labour Groups/County2 Total Working Available Force1 Not Stated SAMBURU 2 17,885 1 29,684 9 ,969 7 8,207 2 5 5 - 14 8 8,812 3 8,019 - 5 0,783 1 0 15 - 17 1 9,661 8 ,759 1 ,122 9 ,777 3 18 - 24 3 4,426 2 2,050 2 ,707 9 ,668 1 25 - 34 3 1,810 2 5,436 2 ,878 3 ,492 4 35 - 64 3 4,988 2 8,934 2 ,818 3 ,233 3 65 + 8 ,186 6 ,486 4 44 1 ,254 2 Not Stated 2 - - - 2 TRANS NZOIA 7 03,122 2 96,459 2 7,354 3 79,269 4 0 5 - 14 2 48,187 9 ,194 - 2 38,984 9 15 - 17 6 8,843 5 ,318 7 74 6 2,749 2 18 - 24 1 01,381 4 4,558 6 ,297 5 0,520 6 25 - 34 9 8,744 7 7,320 9 ,720 1 1,700 4 35 - 64 1 54,683 1 33,616 9 ,718 1 1,337 1 2 65 + 3 1,282 2 6,453 8 45 3 ,979 5 Not Stated 2 - - - 2 UASIN GISHU 5 73,675 2 61,161 2 3,250 2 89,196 6 8 5 - 14 1 80,261 3 ,432 - 1 76,818 1 1 15 - 17 5 3,111 2 ,702 3 21 5 0,082 6 18 - 24 8 9,681 3 9,182 5 ,454 4 5,040 5 25 - 34 8 8,695 7 0,760 9 ,276 8 ,645 1 4 35 - 64 1 34,946 1 20,573 7 ,666 6 ,687 2 0 65 + 2 6,974 2 4,512 5 33 1 ,924 5 Not Stated 7 - - - 7 ELGEYO/MARAKWET 3 74,788 1 65,035 1 3,742 1 95,957 5 4 5 - 14 1 25,883 4 ,084 - 1 21,786 1 3 15 - 17 3 4,378 2 ,622 2 75 3 1,480 1 18 - 24 5 8,627 2 7,061 3 ,493 2 8,061 1 2 25 - 34 5 7,179 4 6,148 5 ,242 5 ,782 7 35 - 64 7 9,844 6 9,867 4 ,256 5 ,705 1 6 65 + 1 8,876 1 5,253 4 76 3 ,143 4 Not Stated 1 - - - 1 NANDI 7 26,576 3 42,199 2 1,514 3 62,783 8 0 5 - 14 2 29,567 5 ,773 - 2 23,774 2 0 15 - 17 6 6,259 3 ,904 3 50 6 1,997 8 18 - 24 1 09,581 4 7,966 5 ,090 5 6,514 1 1 25 - 34 1 17,587 9 8,835 8 ,700 1 0,041 1 1 35 - 64 1 68,875 1 54,551 6 ,842 7 ,458 2 4 65 + 3 4,705 3 1,170 5 32 2 ,999 4 Not Stated 2 - - - 2 BARINGO 5 04,271 2 44,934 2 3,029 2 36,269 3 9 5 - 14 1 83,373 3 3,086 - 1 50,275 1 2 15 - 17 4 7,741 9 ,442 1 ,549 3 6,748 2 18 - 24 7 7,883 4 0,302 6 ,418 3 1,159 4 25 - 34 7 2,094 5 6,511 7 ,825 7 ,748 1 0 35 - 64 9 9,032 8 5,548 6 ,548 6 ,930 6 65 + 2 4,147 2 0,045 6 89 3 ,409 4 Not Stated 1 - - - 1 LAIKIPIA 3 39,798 1 83,394 1 3,184 1 43,195 2 5 5 - 14 1 04,212 1 0,689 - 9 3,520 3 15 - 17 2 9,311 3 ,937 5 14 2 4,860 - 18 - 24 4 4,774 2 4,137 3 ,439 1 7,195 3 25 - 34 4 7,508 4 0,448 4 ,245 2 ,810 5 35 - 64 9 1,551 8 3,928 4 ,655 2 ,963 5 65 + 2 2,439 2 0,255 3 31 1 ,847 6 Not Stated 3 - - - 3 NAKURU 9 68,762 4 80,262 2 9,168 4 59,182 1 50 5 - 14 3 14,041 1 0,412 - 3 03,599 3 0 15 - 17 8 6,723 8 ,587 7 01 7 7,416 1 9 18 - 24 1 37,508 7 2,406 8 ,339 5 6,737 2 6 25 - 34 1 43,378 1 23,728 1 0,127 9 ,505 1 8 35 - 64 2 36,097 2 18,958 9 ,387 7 ,716 3 6 65 + 5 1,004 4 6,171 6 14 4 ,209 1 0 Not Stated 1 1 - - - 1 1 236

Page 250

Table 2.9b: Distribution of Rural Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons outside Broad Age No Work the Labour Groups/County2 Total Working Available Force1 Not Stated NAROK 8 77,207 4 22,305 1 8,025 4 36,727 1 50 5 - 14 3 55,632 4 7,824 - 3 07,768 4 0 15 - 17 7 5,756 1 3,100 9 57 6 1,687 1 2 18 - 24 1 27,880 7 6,677 4 ,664 4 6,521 1 8 25 - 34 1 32,238 1 15,874 6 ,180 1 0,155 2 9 35 - 64 1 59,129 1 45,430 5 ,724 7 ,933 4 2 65 + 2 6,567 2 3,400 5 00 2 ,663 4 Not Stated 5 - - - 5 KAJIADO 4 11,653 1 93,486 2 2,331 1 95,746 9 0 5 - 14 1 51,733 1 9,365 - 1 32,342 2 6 15 - 17 3 2,805 5 ,248 1 ,009 2 6,541 7 18 - 24 5 9,486 3 2,907 5 ,355 2 1,211 1 3 25 - 34 6 8,011 5 3,581 7 ,460 6 ,959 1 1 35 - 64 8 5,490 7 1,207 7 ,670 6 ,587 2 6 65 + 1 4,126 1 1,178 8 37 2 ,106 5 Not Stated 2 - - - 2 KERICHO 7 08,412 3 50,181 1 7,006 3 41,050 1 75 5 - 14 2 26,185 6 ,340 - 2 19,797 4 8 15 - 17 6 3,439 5 ,189 3 26 5 7,911 1 3 18 - 24 1 08,122 5 4,933 4 ,742 4 8,431 1 6 25 - 34 1 20,877 1 05,517 7 ,244 8 ,079 3 7 35 - 64 1 58,126 1 49,040 4 ,395 4 ,647 4 4 65 + 3 1,653 2 9,162 2 99 2 ,185 7 Not Stated 1 0 - - - 1 0 BOMET 7 39,421 3 49,993 1 4,927 3 74,434 6 7 5 - 14 2 48,535 5 ,771 - 2 42,750 1 4 15 - 17 6 9,993 5 ,088 3 09 6 4,587 9 18 - 24 1 14,372 5 6,911 4 ,428 5 3,022 1 1 25 - 34 1 21,854 1 07,369 6 ,433 8 ,045 7 35 - 64 1 53,258 1 45,550 3 ,535 4 ,153 2 0 65 + 3 1,407 2 9,304 2 22 1 ,877 4 Not Stated 2 - - - 2 KAKAMEGA 1 ,475,035 6 65,777 3 8,264 7 70,658 3 36 5 - 14 5 16,152 1 8,905 - 4 97,162 8 5 15 - 17 1 43,446 1 2,174 9 10 1 30,345 1 7 18 - 24 2 01,967 9 4,704 9 ,129 9 8,096 3 8 25 - 34 1 96,983 1 66,067 1 3,828 1 7,041 4 7 35 - 64 3 35,454 3 04,665 1 3,279 1 7,415 9 5 65 + 8 1,010 6 9,262 1 ,118 1 0,599 3 1 Not Stated 2 3 - - - 2 3 VIHIGA 4 71,601 2 25,737 1 2,586 2 33,201 7 7 5 - 14 1 51,213 3 ,637 - 1 47,566 1 0 15 - 17 4 4,086 2 ,824 1 79 4 1,076 7 18 - 24 6 0,307 2 6,907 2 ,864 3 0,531 5 25 - 34 5 6,397 4 7,025 4 ,546 4 ,814 1 2 35 - 64 1 18,551 1 08,409 4 ,643 5 ,476 2 3 65 + 4 1,040 3 6,935 3 54 3 ,738 1 3 Not Stated 7 - - - 7 BUNGOMA 1 ,281,539 5 58,664 3 0,692 6 92,066 1 17 5 - 14 4 71,576 2 3,703 - 4 47,835 3 8 15 - 17 1 28,617 1 2,310 8 80 1 15,419 8 18 - 24 1 84,301 8 5,884 7 ,219 9 1,184 1 4 25 - 34 1 78,307 1 49,642 1 1,647 1 7,000 1 8 35 - 64 2 63,289 2 39,120 1 0,108 1 4,034 2 7 65 + 5 5,443 4 8,005 8 38 6 ,594 6 Not Stated 6 - - - 6 BUSIA 6 79,568 3 10,725 1 5,422 3 53,378 4 3 5 - 14 2 38,275 1 1,539 - 2 26,730 6 15 - 17 6 8,358 7 ,875 4 43 6 0,039 1 18 - 24 1 00,754 4 9,257 4 ,015 4 7,478 4 25 - 34 9 1,647 7 8,805 5 ,538 7 ,304 - 35 - 64 1 44,260 1 32,607 4 ,965 6 ,667 2 1 65 + 3 6,269 3 0,642 4 61 5 ,160 6 Not Stated 5 - - - 5 237

Page 251

Table 2.9b: Distribution of Rural Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons outside Broad Age No Work the Labour Groups/County2 Total Working Available Force1 Not Stated SIAYA 7 95,024 3 80,269 1 8,168 3 96,307 2 80 5 - 14 2 67,522 7 ,297 - 2 60,149 7 6 15 - 17 7 1,003 5 ,665 3 25 6 4,987 2 6 18 - 24 1 06,055 5 2,452 4 ,777 4 8,787 3 9 25 - 34 1 13,169 9 8,008 6 ,794 8 ,333 3 4 35 - 64 1 79,624 1 67,061 5 ,680 6 ,819 6 4 65 + 5 7,634 4 9,786 5 92 7 ,232 2 4 Not Stated 1 7 - - - 1 7 KISUMU 6 25,384 2 73,120 2 1,664 3 30,458 1 42 5 - 14 2 10,682 4 ,063 - 2 06,591 2 8 15 - 17 5 7,689 3 ,673 4 13 5 3,598 5 18 - 24 8 9,357 3 9,620 5 ,140 4 4,574 2 3 25 - 34 9 2,865 7 4,314 8 ,257 1 0,269 2 5 35 - 64 1 37,218 1 20,724 7 ,300 9 ,156 3 8 65 + 3 7,563 3 0,726 5 54 6 ,270 1 3 Not Stated 1 0 - - - 1 0 HOMA BAY 8 75,773 3 77,888 2 2,066 4 75,752 6 7 5 - 14 3 18,984 9 ,220 - 3 09,750 1 4 15 - 17 8 2,654 6 ,052 4 40 7 6,159 3 18 - 24 1 24,051 5 7,614 5 ,309 6 1,116 1 2 25 - 34 1 26,185 1 05,633 8 ,804 1 1,742 6 35 - 64 1 76,260 1 60,450 6 ,802 8 ,993 1 5 65 + 4 7,632 3 8,919 7 11 7 ,992 1 0 Not Stated 7 - - - 7 MIGORI 8 07,279 3 44,162 2 3,327 4 39,598 1 92 5 - 14 3 05,746 1 2,531 - 2 93,161 5 4 15 - 17 7 4,698 7 ,594 7 83 6 6,313 8 18 - 24 1 21,920 6 1,828 6 ,193 5 3,871 2 8 25 - 34 1 20,844 1 00,556 8 ,835 1 1,421 3 2 35 - 64 1 50,557 1 34,790 6 ,865 8 ,852 5 0 65 + 3 3,499 2 6,863 6 51 5 ,980 5 Not Stated 1 5 - - - 1 5 KISII 9 87,143 4 50,445 3 2,299 5 04,275 1 24 5 - 14 3 32,853 7 ,932 - 3 24,895 2 6 15 - 17 8 8,197 6 ,495 6 69 8 1,028 5 18 - 24 1 29,640 6 1,994 7 ,446 6 0,178 2 2 25 - 34 1 51,572 1 24,651 1 2,401 1 4,501 1 9 35 - 64 2 30,637 2 05,298 1 0,785 1 4,523 3 1 65 + 5 4,233 4 4,075 9 98 9 ,150 1 0 Not Stated 1 1 - - - 1 1 NYAMIRA 4 97,702 2 33,371 1 5,839 2 48,448 4 4 5 - 14 1 60,643 3 ,387 - 1 57,247 9 15 - 17 4 3,445 3 ,074 3 53 4 0,015 3 18 - 24 6 1,161 2 9,099 3 ,268 2 8,787 7 25 - 34 7 7,971 6 3,834 5 ,976 8 ,156 5 35 - 64 1 25,504 1 10,606 5 ,716 9 ,168 1 4 65 + 2 8,976 2 3,371 5 26 5 ,075 4 Not Stated 2 - - - 2 1 Persons outside the labour force is what was formally referred to as the economically inactive and includes: full-time students,home makers, the retired, incapacitated persons and those who are either too young or too old to work. 2 Mombasa and Nairobi City counties are excluded because they are wholly urban. 238

Page 252

Table 2.9c: Distribution of Urban Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons No Work outside the Broad Age Groups/County Total Working Available Labour Force1 Not Stated Kenya 1 2,783,831 5 ,803,977 1 ,337,661 5 ,638,413 3 ,780 5 - 14 3 ,057,140 6 7,827 - 2 ,988,720 5 93 15 - 17 7 92,418 4 4,018 3 8,874 7 09,322 2 04 18 - 24 2 ,281,213 9 06,580 3 77,344 9 96,652 6 37 25 - 34 3 ,167,391 2 ,171,271 5 21,387 4 73,802 9 31 35 - 64 3 ,217,755 2 ,465,968 3 81,498 3 69,252 1 ,037 65 + 2 67,625 1 48,313 1 8,558 1 00,665 8 9 Not Stated 2 89 - - - 2 89 MOMBASA 1 ,043,603 4 23,439 1 41,942 4 77,965 2 57 5 - 14 2 43,191 3 ,289 - 2 39,864 3 8 15 - 17 5 6,896 2 ,823 2 ,632 5 1,432 9 18 - 24 1 79,599 6 4,289 3 8,583 7 6,691 3 6 25 - 34 2 60,491 1 58,840 5 3,967 4 7,620 6 4 35 - 64 2 80,908 1 86,702 4 4,595 4 9,532 7 9 65 + 2 2,494 7 ,496 2 ,165 1 2,826 7 Not Stated 2 4 - - - 2 4 KWALE 1 07,281 4 5,557 1 2,108 4 9,599 1 7 5 - 14 2 6,933 4 86 - 2 6,444 3 15 - 17 6 ,694 3 96 2 17 6 ,081 - 18 - 24 1 8,340 7 ,201 3 ,280 7 ,856 3 25 - 34 2 5,268 1 6,419 4 ,673 4 ,173 3 35 - 64 2 7,175 1 9,573 3 ,698 3 ,899 5 65 + 2 ,870 1 ,482 2 40 1 ,146 2 Not Stated 1 - - - 1 KILIFI 3 38,364 1 41,235 3 6,154 1 60,880 9 5 5 - 14 8 7,346 1 ,376 - 8 5,952 1 8 15 - 17 2 2,177 1 ,122 6 80 2 0,373 2 18 - 24 5 9,765 2 4,153 1 0,070 2 5,532 1 0 25 - 34 7 8,178 5 1,933 1 3,728 1 2,494 2 3 35 - 64 8 2,492 5 8,613 1 1,022 1 2,828 2 9 65 + 8 ,398 4 ,038 6 54 3 ,701 5 Not Stated 8 - - - 8 TANA RIVER 6 3,958 1 9,024 1 1,000 3 3,909 2 5 5 - 14 2 0,082 1 ,053 - 1 9,022 7 15 - 17 4 ,594 3 77 4 83 3 ,733 1 18 - 24 1 1,487 3 ,745 3 ,093 4 ,645 4 25 - 34 1 2,317 5 ,950 3 ,632 2 ,729 6 35 - 64 1 3,445 7 ,121 3 ,458 2 ,859 7 65 + 2 ,033 7 78 3 34 9 21 - Not Stated - - - - - LAMU 3 2,436 1 3,037 2 ,888 1 6,502 9 5 - 14 8 ,583 1 39 - 8 ,444 - 15 - 17 2 ,155 1 19 8 0 1 ,956 - 18 - 24 5 ,190 2 ,103 8 26 2 ,261 - 25 - 34 6 ,776 4 ,565 9 25 1 ,286 - 35 - 64 8 ,520 5 ,633 9 77 1 ,903 7 65 + 1 ,212 4 78 8 0 6 52 2 Not Stated - - - - - TAITA/TAVETA 7 9,385 3 8,716 7 ,172 3 3,483 1 4 5 - 14 1 9,079 2 63 - 1 8,815 1 15 - 17 5 ,255 4 05 1 44 4 ,706 - 18 - 24 1 3,050 6 ,424 2 ,029 4 ,594 3 25 - 34 1 7,583 1 2,880 2 ,515 2 ,184 4 35 - 64 2 1,988 1 7,281 2 ,364 2 ,338 5 65 + 2 ,429 1 ,463 1 20 8 46 - Not Stated 1 - - - 1 GARISSA 1 78,508 3 4,129 4 5,497 9 8,823 5 9 5 - 14 6 4,522 7 ,630 - 5 6,874 1 8 15 - 17 1 8,994 2 ,180 6 ,242 1 0,571 1 18 - 24 3 0,470 5 ,104 1 2,188 1 3,170 8 25 - 34 2 9,856 8 ,939 1 2,816 8 ,087 1 4 35 - 64 3 0,167 9 ,371 1 2,552 8 ,232 1 2 65 + 4 ,496 9 05 1 ,699 1 ,889 3 Not Stated 3 - - - 3 239

Page 253

Table 2.9c: Distribution of Urban Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons No Work outside the Broad Age Groups/County Total Working Available Labour Force1 Not Stated WAJIR 1 51,317 3 0,168 4 1,368 7 9,751 3 0 5 - 14 5 7,745 7 ,380 - 5 0,352 1 3 15 - 17 1 6,218 2 ,066 5 ,936 8 ,210 6 18 - 24 2 2,973 4 ,305 1 0,004 8 ,660 4 25 - 34 2 4,418 7 ,478 1 1,223 5 ,714 3 35 - 64 2 6,568 8 ,092 1 2,875 5 ,597 4 65 + 3 ,395 8 47 1 ,330 1 ,218 - Not Stated - - - - - MANDERA 2 21,460 5 6,417 3 6,890 1 28,115 3 8 5 - 14 9 1,642 1 5,878 - 7 5,735 2 9 15 - 17 2 2,789 3 ,845 5 ,211 1 3,731 2 18 - 24 3 6,452 9 ,250 1 0,488 1 6,714 - 25 - 34 3 3,073 1 2,347 1 0,236 1 0,486 4 35 - 64 3 2,487 1 3,231 9 ,776 9 ,477 3 65 + 5 ,017 1 ,866 1 ,179 1 ,972 - Not Stated - - - - - MARSABIT 8 9,407 2 2,456 1 5,723 5 1,228 - 5 - 14 3 0,106 1 ,563 - 2 8,543 - 15 - 17 9 ,448 1 ,117 1 ,700 6 ,631 - 18 - 24 1 5,635 4 ,282 4 ,353 7 ,000 - 25 - 34 1 5,162 6 ,837 4 ,845 3 ,480 - 35 - 64 1 5,902 7 ,685 4 ,322 3 ,895 - 65 + 3 ,154 9 72 5 03 1 ,679 - Not Stated - - - - - ISIOLO 1 07,809 3 6,278 1 6,274 5 5,230 2 7 5 - 14 3 3,748 3 ,051 - 3 0,695 2 15 - 17 9 ,459 1 ,154 1 ,003 7 ,300 2 18 - 24 1 7,636 5 ,826 4 ,340 7 ,465 5 25 - 34 2 0,053 1 0,880 5 ,344 3 ,822 7 35 - 64 2 3,042 1 3,770 5 ,073 4 ,191 8 65 + 3 ,870 1 ,597 5 14 1 ,757 2 Not Stated 1 - - - 1 MERU 1 18,651 6 2,975 1 0,773 4 4,870 3 3 5 - 14 2 4,003 3 49 - 2 3,652 2 15 - 17 6 ,285 4 00 1 43 5 ,740 2 18 - 24 2 1,203 1 0,093 2 ,945 8 ,159 6 25 - 34 3 1,608 2 3,530 4 ,440 3 ,628 1 0 35 - 64 3 2,368 2 6,467 3 ,135 2 ,757 9 65 + 3 ,180 2 ,136 1 10 9 34 - Not Stated 4 - - - 4 THARAKA-NITHI 2 8,470 1 5,906 2 ,026 1 0,528 1 0 5 - 14 5 ,398 5 6 - 5 ,342 - 15 - 17 1 ,495 9 4 1 8 1 ,382 1 18 - 24 4 ,860 2 ,096 5 27 2 ,237 - 25 - 34 6 ,779 5 ,140 8 30 8 05 4 35 - 64 8 ,712 7 ,523 6 17 5 68 4 65 + 1 ,225 9 97 3 4 1 94 - Not Stated 1 - - - 1 EMBU 6 5,152 3 6,919 4 ,303 2 3,921 9 5 - 14 1 2,017 1 08 - 1 1,908 1 15 - 17 3 ,405 1 91 6 0 3 ,153 1 18 - 24 1 2,344 5 ,884 1 ,241 5 ,219 - 25 - 34 1 6,404 1 2,820 1 ,695 1 ,886 3 35 - 64 1 9,089 1 6,466 1 ,256 1 ,363 4 65 + 1 ,893 1 ,450 5 1 3 92 - Not Stated - - - - - KITUI 4 5,165 2 3,703 4 ,146 1 7,314 2 5 - 14 9 ,308 1 15 - 9 ,193 - 15 - 17 2 ,622 1 99 7 0 2 ,353 - 18 - 24 9 ,483 4 ,603 1 ,447 3 ,433 - 25 - 34 1 1,947 9 ,142 1 ,557 1 ,248 - 35 - 64 1 0,878 9 ,046 1 ,017 8 13 2 65 + 9 27 5 98 5 5 2 74 - Not Stated - - - - - 240

Page 254

Table 2.9c: Distribution of Urban Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons No Work outside the Broad Age Groups/County Total Working Available Labour Force1 Not Stated MACHAKOS 3 60,287 1 82,770 3 5,361 1 42,027 1 29 5 - 14 7 4,319 6 91 - 7 3,605 2 3 15 - 17 1 8,358 7 27 3 57 1 7,266 8 18 - 24 6 4,716 2 8,222 1 0,190 2 6,283 2 1 25 - 34 9 7,410 6 9,157 1 5,014 1 3,209 3 0 35 - 64 9 9,106 7 9,786 9 ,522 9 ,762 3 6 65 + 6 ,370 4 ,187 2 78 1 ,902 3 Not Stated 8 - - - 8 MAKUENI 6 2,825 3 3,608 5 ,662 2 3,546 9 5 - 14 1 3,127 1 52 - 1 2,974 1 15 - 17 3 ,611 1 70 8 6 3 ,355 - 18 - 24 1 1,488 5 ,868 1 ,653 3 ,963 4 25 - 34 1 6,750 1 2,921 2 ,133 1 ,693 3 35 - 64 1 6,245 1 3,322 1 ,697 1 ,225 1 65 + 1 ,604 1 ,175 9 3 3 36 - Not Stated - - - - - NYANDARUA 5 7,483 3 2,854 2 ,250 2 2,377 2 5 - 14 1 3,519 1 44 - 1 3,375 - 15 - 17 3 ,632 2 06 3 1 3 ,395 - 18 - 24 9 ,544 5 ,286 7 34 3 ,524 - 25 - 34 1 3,501 1 1,442 8 45 1 ,214 - 35 - 64 1 5,881 1 4,569 6 21 6 90 1 65 + 1 ,405 1 ,207 1 9 1 79 - Not Stated 1 - - - 1 NYERI 1 30,216 7 3,549 7 ,940 4 8,710 1 7 5 - 14 2 6,219 2 10 - 2 6,009 - 15 - 17 7 ,125 2 53 6 8 6 ,804 - 18 - 24 2 2,021 1 0,183 2 ,241 9 ,595 2 25 - 34 3 0,802 2 4,625 3 ,048 3 ,125 4 35 - 64 4 0,075 3 5,260 2 ,471 2 ,337 7 65 + 3 ,970 3 ,018 1 12 8 40 - Not Stated 4 - - - 4 KIRINYAGA 1 18,979 7 0,376 6 ,045 4 2,552 6 5 - 14 2 4,739 2 78 - 2 4,461 - 15 - 17 7 ,301 4 01 6 3 6 ,837 - 18 - 24 1 7,072 8 ,969 1 ,520 6 ,583 - 25 - 34 2 5,811 2 1,486 2 ,255 2 ,067 3 35 - 64 3 9,702 3 5,804 2 ,121 1 ,774 3 65 + 4 ,354 3 ,438 8 6 8 30 - Not Stated - - - - - MURANG’A 1 02,640 5 7,163 6 ,287 3 9,183 7 5 - 14 2 2,393 2 40 - 2 2,152 1 15 - 17 6 ,182 3 66 9 2 5 ,724 - 18 - 24 1 6,462 8 ,431 1 ,711 6 ,318 2 25 - 34 2 2,995 1 8,272 2 ,311 2 ,411 1 35 - 64 3 0,822 2 6,862 2 ,086 1 ,874 - 65 + 3 ,785 2 ,992 8 7 7 04 2 Not Stated 1 - - - 1 KIAMBU 1 ,490,733 7 63,327 1 31,323 5 95,663 4 20 5 - 14 3 13,688 2 ,315 - 3 11,319 5 4 15 - 17 7 9,315 3 ,383 1 ,275 7 4,638 1 9 18 - 24 2 64,690 1 17,011 3 6,864 1 10,730 8 5 25 - 34 3 83,157 2 81,288 5 1,999 4 9,760 1 10 35 - 64 4 12,602 3 35,836 3 9,886 3 6,771 1 09 65 + 3 7,255 2 3,494 1 ,299 1 2,445 1 7 Not Stated 2 6 - - - 2 6 TURKANA 1 19,321 2 4,938 2 5,950 6 8,382 5 1 5 - 14 3 7,111 1 ,097 - 3 5,999 1 5 15 - 17 1 1,370 5 54 1 ,594 9 ,214 8 18 - 24 2 3,357 4 ,293 7 ,268 1 1,786 1 0 25 - 34 2 2,483 8 ,972 8 ,575 4 ,932 4 35 - 64 2 1,410 9 ,217 7 ,635 4 ,547 1 1 65 + 3 ,588 8 05 8 78 1 ,904 1 Not Stated 2 - - - 2 241

Page 255

Table 2.9c: Distribution of Urban Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons No Work outside the Broad Age Groups/County Total Working Available Labour Force1 Not Stated WEST POKOT 2 6,660 1 0,365 2 ,839 1 3,453 3 5 - 14 7 ,310 1 69 - 7 ,141 - 15 - 17 2 ,071 1 19 5 9 1 ,893 - 18 - 24 5 ,115 1 ,797 7 87 2 ,530 1 25 - 34 6 ,413 4 ,193 1 ,190 1 ,030 - 35 - 64 5 ,259 3 ,790 7 62 7 06 1 65 + 4 92 2 97 4 1 1 53 1 Not Stated - - - - - SAMBURU 3 9,483 1 4,700 4 ,212 2 0,569 2 5 - 14 1 1,963 5 47 - 1 1,416 - 15 - 17 3 ,385 2 45 1 78 2 ,962 - 18 - 24 7 ,249 2 ,804 1 ,285 3 ,160 - 25 - 34 7 ,875 5 ,158 1 ,385 1 ,332 - 35 - 64 7 ,957 5 ,491 1 ,245 1 ,219 2 65 + 1 ,054 4 55 1 19 4 80 - Not Stated - - - - - TRANS NZOIA 1 52,884 6 4,215 1 1,301 7 7,344 2 4 5 - 14 4 3,035 5 86 - 4 2,443 6 15 - 17 1 2,181 5 43 1 82 1 1,456 - 18 - 24 2 5,930 9 ,951 2 ,971 1 3,001 7 25 - 34 3 2,602 2 2,560 4 ,543 5 ,494 5 35 - 64 3 6,134 2 8,575 3 ,444 4 ,111 4 65 + 3 ,000 2 ,000 1 61 8 39 - Not Stated 2 - - - 2 UASIN GISHU 4 39,243 1 90,665 4 2,629 2 05,881 6 8 5 - 14 1 05,799 9 29 - 1 04,861 9 15 - 17 2 9,159 1 ,194 5 34 2 7,426 5 18 - 24 8 5,105 2 9,914 1 1,764 4 3,414 1 3 25 - 34 1 08,106 7 1,597 1 8,967 1 7,525 1 7 35 - 64 1 03,691 8 2,058 1 0,996 1 0,620 1 7 65 + 7 ,379 4 ,973 3 68 2 ,035 3 Not Stated 4 - - - 4 ELGEYO/MARAKWET 1 7,717 7 ,864 1 ,665 8 ,182 6 5 - 14 4 ,326 7 8 - 4 ,243 5 15 - 17 1 ,265 6 2 3 1 1 ,172 - 18 - 24 3 ,513 1 ,396 4 38 1 ,679 - 25 - 34 4 ,378 2 ,933 8 13 6 32 - 35 - 64 3 ,920 3 ,151 3 75 3 94 - 65 + 3 15 2 44 8 6 2 1 Not Stated - - - - - NANDI 5 1,203 2 4,458 3 ,979 2 2,766 - 5 - 14 1 2,512 1 81 - 1 2,331 - 15 - 17 3 ,457 1 64 6 6 3 ,227 - 18 - 24 9 ,191 3 ,747 1 ,107 4 ,337 - 25 - 34 1 2,359 9 ,091 1 ,678 1 ,590 - 35 - 64 1 2,501 1 0,384 1 ,082 1 ,035 - 65 + 1 ,183 8 91 4 6 2 46 - Not Stated - - - - - BARINGO 6 3,699 2 8,569 5 ,575 2 9,551 4 5 - 14 1 7,230 2 03 - 1 7,027 - 15 - 17 4 ,869 2 43 8 1 4 ,545 - 18 - 24 1 1,536 4 ,935 1 ,764 4 ,836 1 25 - 34 1 3,965 1 0,024 2 ,279 1 ,662 - 35 - 64 1 4,647 1 2,181 1 ,371 1 ,092 3 65 + 1 ,452 9 83 8 0 3 89 - Not Stated - - - - - LAIKIPIA 1 08,748 5 5,901 8 ,380 4 4,454 1 3 5 - 14 2 4,919 2 96 - 2 4,619 4 15 - 17 6 ,911 2 99 1 33 6 ,479 - 18 - 24 1 8,127 8 ,476 2 ,268 7 ,381 2 25 - 34 2 5,558 1 9,717 3 ,071 2 ,769 1 35 - 64 3 0,595 2 5,393 2 ,780 2 ,417 5 65 + 2 ,638 1 ,720 1 28 7 89 1 Not Stated - - - - - 242

Page 256

Table 2.9c: Distribution of Urban Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons No Work outside the Broad Age Groups/County Total Working Available Labour Force1 Not Stated NAKURU 9 01,460 4 29,404 6 5,674 4 06,220 1 62 5 - 14 2 25,382 2 ,275 - 2 23,080 2 7 15 - 17 6 1,573 2 ,850 1 ,079 5 7,626 1 8 18 - 24 1 57,992 6 7,049 1 8,904 7 2,012 2 7 25 - 34 2 03,461 1 50,830 2 5,461 2 7,142 2 8 35 - 64 2 31,128 1 91,110 1 9,489 2 0,486 4 3 65 + 2 1,907 1 5,290 7 41 5 ,874 2 Not Stated 1 7 - - - 1 7 NAROK 8 4,442 4 1,942 5 ,714 3 6,748 3 8 5 - 14 2 2,427 4 22 - 2 2,000 5 15 - 17 5 ,174 3 55 9 8 4 ,721 - 18 - 24 1 4,952 7 ,594 1 ,619 5 ,731 8 25 - 34 2 1,343 1 6,534 2 ,414 2 ,387 8 35 - 64 1 9,376 1 6,274 1 ,517 1 ,571 1 4 65 + 1 ,168 7 63 6 6 3 38 1 Not Stated 2 - - - 2 KAJIADO 5 39,767 2 59,435 5 7,588 2 22,515 2 29 5 - 14 1 21,559 1 ,303 - 1 20,218 3 8 15 - 17 2 8,976 1 ,374 7 87 2 6,804 1 1 18 - 24 9 6,624 4 1,369 1 6,121 3 9,089 4 5 25 - 34 1 44,413 1 01,556 2 3,884 1 8,912 6 1 35 - 64 1 38,794 1 08,487 1 6,277 1 3,976 5 4 65 + 9 ,386 5 ,346 5 19 3 ,516 5 Not Stated 1 5 - - - 1 5 KERICHO 7 9,095 4 0,987 4 ,801 3 3,272 3 5 5 - 14 1 8,767 2 24 - 1 8,541 2 15 - 17 4 ,946 2 67 7 1 4 ,606 2 18 - 24 1 4,981 7 ,266 1 ,527 6 ,181 7 25 - 34 2 0,938 1 6,369 2 ,117 2 ,440 1 2 35 - 64 1 8,147 1 5,824 1 ,044 1 ,271 8 65 + 1 ,313 1 ,037 4 2 2 33 1 Not Stated 3 - - - 3 BOMET 2 2,853 1 2,014 1 ,322 9 ,512 5 5 - 14 5 ,156 6 7 - 5 ,089 - 15 - 17 1 ,340 8 4 2 3 1 ,233 - 18 - 24 4 ,848 2 ,323 4 48 2 ,077 - 25 - 34 6 ,455 5 ,156 5 78 7 20 1 35 - 64 4 ,750 4 ,151 2 66 3 30 3 65 + 3 03 2 33 7 6 3 - Not Stated 1 - - - 1 KAKAMEGA 1 60,779 7 0,825 1 1,080 7 8,839 3 5 5 - 14 4 3,819 6 68 - 4 3,146 5 15 - 17 1 2,529 7 69 1 70 1 1,588 2 18 - 24 2 8,409 1 0,543 2 ,989 1 4,869 8 25 - 34 3 2,694 2 3,545 4 ,534 4 ,608 7 35 - 64 3 8,634 3 1,867 3 ,233 3 ,526 8 65 + 4 ,691 3 ,433 1 54 1 ,102 2 Not Stated 3 - - - 3 VIHIGA 5 1,067 2 4,386 2 ,568 2 4,098 1 5 5 - 14 1 4,295 2 15 - 1 4,076 4 15 - 17 4 ,061 1 93 4 4 3 ,820 4 18 - 24 7 ,709 3 ,319 6 47 3 ,741 2 25 - 34 9 ,062 7 ,066 9 58 1 ,035 3 35 - 64 1 2,884 1 1,016 8 63 1 ,003 2 65 + 3 ,056 2 ,577 5 6 4 23 - Not Stated - - - - - BUNGOMA 1 63,607 7 0,943 9 ,935 8 2,713 1 6 5 - 14 4 7,854 1 ,017 - 4 6,835 2 15 - 17 1 4,017 8 38 2 39 1 2,938 2 18 - 24 2 6,943 1 0,689 2 ,633 1 3,617 4 25 - 34 3 2,277 2 3,367 4 ,132 4 ,777 1 35 - 64 3 8,052 3 1,714 2 ,785 3 ,548 5 65 + 4 ,463 3 ,318 1 46 9 98 1 Not Stated 1 - - - 1 243

Page 257

Table 2.9c: Distribution of Urban Population Age 5 years and above by Activity Status, Broad Age Groups and County Persons in the Labour Force Seeking Work/ Persons No Work outside the Broad Age Groups/County Total Working Available Labour Force1 Not Stated BUSIA 9 4,292 4 0,682 6 ,903 4 6,680 2 7 5 - 14 2 7,417 4 47 - 2 6,968 2 15 - 17 7 ,634 5 93 1 60 6 ,879 2 18 - 24 1 5,838 6 ,769 1 ,940 7 ,125 4 25 - 34 2 0,342 1 4,605 2 ,771 2 ,961 5 35 - 64 2 1,160 1 7,049 1 ,930 2 ,172 9 65 + 1 ,897 1 ,219 1 02 5 75 1 Not Stated 4 - - - 4 SIAYA 7 3,252 3 2,661 4 ,057 3 6,490 4 4 5 - 14 2 0,961 2 47 - 2 0,707 7 15 - 17 5 ,683 2 85 6 0 5 ,333 5 18 - 24 1 3,500 5 ,440 1 ,153 6 ,903 4 25 - 34 1 6,635 1 2,738 1 ,840 2 ,052 5 35 - 64 1 4,807 1 2,715 9 67 1 ,112 1 3 65 + 1 ,659 1 ,236 3 7 3 83 3 Not Stated 7 - - - 7 KISUMU 3 78,702 1 61,192 2 9,179 1 88,173 1 58 5 - 14 1 00,196 6 91 - 9 9,478 2 7 15 - 17 2 7,253 1 ,063 3 87 2 5,792 1 1 18 - 24 7 1,625 2 5,139 8 ,658 3 7,804 2 4 25 - 34 9 1,091 6 4,282 1 2,610 1 4,172 2 7 35 - 64 8 1,818 6 5,877 7 ,282 8 ,609 5 0 65 + 6 ,703 4 ,140 2 42 2 ,318 3 Not Stated 1 6 - - - 1 6 HOMA BAY 9 4,627 4 1,240 5 ,358 4 8,014 1 5 5 - 14 2 8,321 2 48 - 2 8,070 3 15 - 17 7 ,344 3 19 1 04 6 ,920 1 18 - 24 1 7,133 7 ,434 1 ,629 8 ,070 - 25 - 34 2 2,099 1 6,744 2 ,393 2 ,957 5 35 - 64 1 8,181 1 5,418 1 ,189 1 ,569 5 65 + 1 ,548 1 ,077 4 3 4 28 - Not Stated 1 - - - 1 MIGORI 1 40,739 5 6,376 9 ,790 7 4,557 1 6 5 - 14 4 4,079 8 24 - 4 3,253 2 15 - 17 1 1,538 6 86 2 72 1 0,580 - 18 - 24 2 5,450 1 0,356 2 ,811 1 2,279 4 25 - 34 2 9,975 2 1,216 4 ,006 4 ,748 5 35 - 64 2 7,275 2 1,735 2 ,579 2 ,957 4 65 + 2 ,422 1 ,559 1 22 7 40 1 Not Stated - - - - - KISII 1 30,177 5 7,246 8 ,967 6 3,949 1 5 5 - 14 3 3,691 3 13 - 3 3,378 - 15 - 17 9 ,150 4 29 9 4 8 ,627 - 18 - 24 2 4,010 9 ,123 2 ,433 1 2,451 3 25 - 34 3 1,656 2 2,265 4 ,152 5 ,235 4 35 - 64 2 8,802 2 3,292 2 ,199 3 ,305 6 65 + 2 ,866 1 ,824 8 9 9 53 - Not Stated 2 - - - 2 NYAMIRA 4 1,014 1 7,052 2 ,775 2 1,179 8 5 - 14 1 1,420 1 31 - 1 1,285 4 15 - 17 3 ,256 1 33 4 2 3 ,080 1 18 - 24 6 ,315 2 ,301 6 21 3 ,393 - 25 - 34 8 ,540 5 ,767 1 ,175 1 ,596 2 35 - 64 1 0,180 7 ,854 8 97 1 ,428 1 65 + 1 ,303 8 66 4 0 3 97 - Not Stated - - - - - NAIROBI CITY 3 ,814,871 1 ,812,311 4 22,288 1 ,578,696 1 ,576 5 - 14 8 05,884 7 ,883 - 7 97,786 2 15 15 - 17 1 99,266 8 ,363 5 ,795 1 85,030 7 8 18 - 24 7 01,281 2 79,225 1 23,232 2 98,554 2 70 25 - 34 1 ,062,332 7 28,095 1 75,830 1 57,973 4 34 35 - 64 9 89,479 7 63,332 1 14,150 1 11,563 4 34 65 + 5 6,503 2 5,413 3 ,281 2 7,790 1 9 Not Stated 1 26 - - - 1 26 1 Persons outside the labour force is what was formally referred to as the economically inactive and includes: full-time students,home makers, the retired, incapacitated persons and those who are either too young or too old to work. 244

Page 258

Table 2.10: Distribution of Households and Tenure Status of Main Dwelling Unit by Area of Residence, County and Sub-County Tenure Status (Conventional Households) Households County/ Sub-County Owned Rented/Provided Not Stated Group Total Conventional Quarters Number per cent Number per cent Number per cent KENYA 1 2,143,913 1 2,043,016 1 00,897 7 ,379,485 6 1.3 4 ,660,027 3 8.7 3 ,504 0 .0 Rural 7 ,432,249 7 ,379,282 5 2,967 6 ,387,020 8 6.6 9 90,602 1 3.4 1 ,660 0 .0 Urban 4 ,711,664 4 ,663,734 4 7,930 9 92,465 2 1.3 3 ,669,425 7 8.7 1 ,844 0 .0 MOMBASA 3 78,422 3 76,295 2 ,127 7 8,346 2 0.8 2 97,830 7 9.1 1 19 0 .0 CHANGAMWE 4 6,614 4 6,439 1 75 4 ,531 9 .8 4 1,903 9 0.2 5 0 .0 JOMVU 5 3,472 5 3,214 2 58 1 4,021 2 6.3 3 9,185 7 3.6 8 0 .0 KISAUNI 8 8,202 8 8,159 4 3 2 5,407 2 8.8 6 2,711 7 1.1 4 1 0 .0 LIKONI 8 1,191 8 0,002 1 ,189 1 7,401 2 1.8 6 2,586 7 8.2 1 5 0 .0 MVITA 3 8,995 3 8,710 2 85 6 ,516 1 6.8 3 2,172 8 3.1 2 2 0 .1 NYALI 6 9,948 6 9,771 1 77 1 0,470 1 5.0 5 9,273 8 5.0 2 8 0 .0 KWALE 1 73,176 1 72,802 3 74 1 33,135 7 7.0 3 9,612 2 2.9 5 5 0 .0 KINANGO 1 6,043 1 6,041 2 1 4,679 9 1.5 1 ,359 8 .5 3 0 .0 LUNGALUNGA 3 7,366 3 7,276 9 0 3 3,298 8 9.3 3 ,973 1 0.7 5 0 .0 MATUGA 3 9,231 3 9,124 1 07 3 2,740 8 3.7 6 ,374 1 6.3 1 0 0 .0 MSAMBWENI 4 5,466 4 5,374 9 2 2 3,263 5 1.3 2 2,098 4 8.7 1 3 0 .0 SAMBURU 3 5,070 3 4,987 8 3 2 9,155 8 3.3 5 ,808 1 6.6 2 4 0 .1 KILIFI 2 98,472 2 97,990 4 82 1 99,451 6 6.9 9 8,466 3 3.0 7 3 0 .0 CHONYI 1 1,421 1 1,416 5 1 1,098 9 7.2 3 18 2 .8 - - GANZE 2 3,258 2 3,197 6 1 2 1,647 9 3.3 1 ,538 6 .6 1 2 0 .1 KALOLENI 3 6,355 3 6,344 1 1 2 7,636 7 6.0 8 ,693 2 3.9 1 5 0 .0 KAUMA 3 ,479 3 ,479 - 3 ,311 9 5.2 1 68 4 .8 - - KILIFI NORTH 3 9,512 3 9,508 4 2 3,143 5 8.6 1 6,361 4 1.4 4 0 .0 KILIFI SOUTH 5 3,074 5 3,011 6 3 2 3,385 4 4.1 2 9,620 5 5.9 6 0 .0 MAGARINI 3 3,017 3 2,978 3 9 2 8,655 8 6.9 4 ,314 1 3.1 9 0 .0 MALINDI 7 3,547 7 3,317 2 30 4 1,731 5 6.9 3 1,563 4 3.1 2 3 0 .0 RABAI 2 4,809 2 4,740 6 9 1 8,845 7 6.2 5 ,891 2 3.8 4 0 .0 TANA RIVER 6 8,242 6 6,984 1 ,258 5 2,564 7 8.5 1 4,383 2 1.5 3 7 0 .1 TANA DELTA 2 2,791 2 2,395 3 96 1 9,641 8 7.7 2 ,744 1 2.3 1 0 0 .0 TANA NORTH 2 6,886 2 6,119 7 67 1 8,245 6 9.9 7 ,865 3 0.1 9 0 .0 TANA RIVER 1 8,565 1 8,470 9 5 1 4,678 7 9.5 3 ,774 2 0.4 1 8 0 .1 LAMU 3 7,963 3 4,231 3 ,732 2 3,238 6 7.9 1 0,981 3 2.1 1 2 0 .0 LAMU EAST 5 ,090 4 ,476 6 14 3 ,289 7 3.5 1 ,187 2 6.5 - - LAMU WEST 3 2,873 2 9,755 3 ,118 1 9,949 6 7.0 9 ,794 3 2.9 1 2 0 .0 TAITA/TAVETA 9 6,429 9 4,468 1 ,961 6 2,688 6 6.4 3 1,754 3 3.6 2 6 0 .0 MWATATE 2 3,698 2 3,184 5 14 1 6,932 7 3.0 6 ,248 2 6.9 4 0 .0 TAITA 1 5,094 1 4,985 1 09 1 2,467 8 3.2 2 ,517 1 6.8 1 0 .0 TAVETA 2 4,115 2 3,417 6 98 1 5,358 6 5.6 8 ,053 3 4.4 6 0 .0 VOI 3 3,522 3 2,882 6 40 1 7,931 5 4.5 1 4,936 4 5.4 1 5 0 .0 GARISSA 1 41,394 1 38,940 2 ,454 1 21,453 8 7.4 1 7,450 1 2.6 3 7 0 .0 BALAMBALA 4 ,337 3 ,986 3 51 3 ,915 9 8.2 7 1 1 .8 - - DADAAB 3 5,793 3 5,169 6 24 3 3,111 9 4.1 2 ,048 5 .8 1 0 0 .0 FAFI 2 3,671 2 3,351 3 20 2 2,297 9 5.5 1 ,047 4 .5 7 0 .0 GARISSA 3 0,518 2 9,790 7 28 1 7,884 6 0.0 1 1,892 3 9.9 1 4 0 .0 HULUGHO 2 0,254 2 0,078 1 76 1 9,759 9 8.4 3 18 1 .6 1 0 .0 IJARA 1 8,481 1 8,296 1 85 1 6,577 9 0.6 1 ,714 9 .4 5 0 .0 LAGDERA 8 ,340 8 ,270 7 0 7 ,910 9 5.6 3 60 4 .4 - - WAJIR 1 27,932 1 26,878 1 ,054 1 20,367 9 4.9 6 ,503 5 .1 8 0 .0 BUNA 6 ,480 6 ,480 - 6 ,327 9 7.6 1 53 2 .4 - - ELDAS 1 3,961 1 3,862 9 9 1 3,711 9 8.9 1 51 1 .1 - - HABASWEIN 3 1,292 3 1,113 1 79 2 9,816 9 5.8 1 ,293 4 .2 4 0 .0 TARBAJ 9 ,309 9 ,241 6 8 9 ,139 9 8.9 1 02 1 .1 - - WAJIR EAST 1 8,674 1 8,282 3 92 1 4,995 8 2.0 3 ,285 1 8.0 2 0 .0 WAJIR NORTH 1 0,490 1 0,478 1 2 9 ,855 9 4.1 6 23 5 .9 - - WAJIR SOUTH 2 1,364 2 1,149 2 15 2 0,796 9 8.3 3 51 1 .7 2 0 .0 WAJIR WEST 1 6,362 1 6,273 8 9 1 5,728 9 6.7 5 45 3 .3 - - MANDERA 1 25,763 1 23,954 1 ,809 1 14,521 9 2.4 9 ,410 7 .6 2 3 0 .0 MANDERA WEST 1 4,274 1 4,201 7 3 1 3,481 9 4.9 7 18 5 .1 2 0 .0 BANISA 2 4,285 2 4,000 2 85 2 3,613 9 8.4 3 86 1 .6 1 0 .0 KOTULO 9 ,446 9 ,342 1 04 9 ,017 9 6.5 3 25 3 .5 - - LAFEY 1 1,597 1 1,380 2 17 1 1,066 9 7.2 3 14 2 .8 - - MANDERA CENTRAL 2 1,140 2 0,795 3 45 1 9,324 9 2.9 1 ,451 7 .0 2 0 0 .1 MANDERA EAST 2 5,904 2 5,206 6 98 1 9,682 7 8.1 5 ,524 2 1.9 - - MANDERA NORTH 1 9,117 1 9,030 8 7 1 8,338 9 6.4 6 92 3 .6 - - 245

Page 259

Table 2.10: Distribution of Households and Tenure Status of Main Dwelling Unit by Area of Residence, County and Sub-County Tenure Status (Conventional Households) Households County/ Sub-County Owned Rented/Provided Not Stated Group Total Conventional Quarters Number per cent Number per cent Number per cent MARSABIT 7 7,495 7 6,689 8 06 6 6,082 8 6.2 1 0,561 1 3.8 4 6 0 .1 LOIYANGALANI 7 ,774 7 ,646 1 28 7 ,376 9 6.5 2 70 3 .5 - - MARSABIT CENTRAL 1 5,849 1 5,658 1 91 1 0,880 6 9.5 4 ,776 3 0.5 2 0 .0 MARSABIT NORTH 7 ,521 7 ,468 5 3 7 ,338 9 8.3 1 30 1 .7 - - MARSABIT SOUTH 1 1,615 1 1,563 5 2 1 1,151 9 6.4 4 09 3 .5 3 0 .0 MOYALE 1 7,709 1 7,591 1 18 1 3,395 7 6.1 4 ,194 2 3.8 2 0 .0 NORTH HORR 9 ,789 9 ,601 1 88 9 ,449 9 8.4 1 14 1 .2 3 8 0 .4 SOLOLO 7 ,238 7 ,162 7 6 6 ,493 9 0.7 6 68 9 .3 1 0 .0 ISIOLO 5 8,072 5 3,217 4 ,855 3 8,285 7 1.9 1 4,918 2 8.0 1 4 0 .0 GARBATULLA 1 8,661 1 7,047 1 ,614 1 5,450 9 0.6 1 ,592 9 .3 5 0 .0 ISIOLO 2 9,853 2 7,612 2 ,241 1 4,669 5 3.1 1 2,934 4 6.8 9 0 .0 MERTI 9 ,558 8 ,558 1 ,000 8 ,166 9 5.4 3 92 4 .6 - - MERU 4 26,360 4 23,931 2 ,429 3 13,867 7 4.0 1 09,916 2 5.9 1 48 0 .0 BUURI EAST 2 3,834 2 3,737 9 7 1 7,740 7 4.7 5 ,986 2 5.2 1 1 0 .0 BUURI WEST 2 7,973 2 7,905 6 8 1 3,216 4 7.4 1 4,685 5 2.6 4 0 .0 IGEMBE CENTRAL 5 2,031 5 1,848 1 83 4 2,208 8 1.4 9 ,624 1 8.6 1 6 0 .0 IGEMBE NORTH 3 8,871 3 8,716 1 55 3 1,541 8 1.5 7 ,158 1 8.5 1 7 0 .0 IGEMBE SOUTH 4 3,281 4 3,222 5 9 2 9,694 6 8.7 1 3,507 3 1.3 2 1 0 .0 IMENTI NORTH 5 7,668 5 7,556 1 12 3 0,338 5 2.7 2 7,198 4 7.3 2 0 0 .0 IMENTI SOUTH 6 4,186 6 3,954 2 32 4 6,723 7 3.1 1 7,221 2 6.9 1 0 0 .0 MERU CENTRAL 3 9,595 3 9,498 9 7 3 3,046 8 3.7 6 ,436 1 6.3 1 6 0 .0 TIGANIA CENTRAL 2 5,039 2 4,983 5 6 2 2,213 8 8.9 2 ,767 1 1.1 3 0 .0 TIGANIA EAST 1 7,185 1 6,791 3 94 1 4,873 8 8.6 1 ,900 1 1.3 1 8 0 .1 TIGANIA WEST 3 6,207 3 5,402 8 05 3 2,080 9 0.6 3 ,310 9 .3 1 2 0 .0 MERU NATIONAL PARK 2 07 4 6 1 61 - - 4 6 1 00.0 - - MT. KENYA FOREST 2 83 2 73 1 0 1 95 7 1.4 7 8 2 8.6 - - THARAKA-NITHI 1 09,860 1 09,450 4 10 9 0,352 8 2.6 1 9,062 1 7.4 3 6 0 .0 IGAMBANG’OMBE 1 4,398 1 4,383 1 5 1 2,551 8 7.3 1 ,826 1 2.7 6 0 .0 MAARA 3 5,041 3 4,779 2 62 2 8,925 8 3.2 5 ,845 1 6.8 9 0 .0 MERU SOUTH 2 8,249 2 8,211 3 8 2 0,258 7 1.8 7 ,943 2 8.2 1 0 0 .0 THARAKA NORTH 1 3,413 1 3,403 1 0 1 2,307 9 1.8 1 ,088 8 .1 8 0 .1 THARAKA SOUTH 1 8,646 1 8,603 4 3 1 6,311 8 7.7 2 ,289 1 2.3 3 0 .0 MT. KENYA FOREST 1 13 7 1 4 2 - - 7 1 1 00.0 - - EMBU 1 82,743 1 82,427 3 16 1 33,108 7 3.0 4 9,298 2 7.0 2 1 0 .0 EMBU EAST 3 9,678 3 9,586 9 2 3 2,844 8 3.0 6 ,742 1 7.0 - - EMBU NORTH 2 4,300 2 4,294 6 2 0,104 8 2.8 4 ,188 1 7.2 2 0 .0 EMBU WEST 4 3,153 4 3,126 2 7 1 9,840 4 6.0 2 3,280 5 4.0 6 0 .0 MBEERE SOUTH 4 6,065 4 5,924 1 41 3 6,283 7 9.0 9 ,630 2 1.0 1 1 0 .0 MBEERE NORTH 2 9,528 2 9,483 4 5 2 4,037 8 1.5 5 ,444 1 8.5 2 0 .0 MT. KENYA FOREST 1 9 1 4 5 - - 1 4 1 00.0 - - KITUI 2 62,942 2 61,814 1 ,128 2 24,626 8 5.8 3 7,132 1 4.2 5 6 0 .0 IKUTHA 1 6,679 1 6,579 1 00 1 5,115 9 1.2 1 ,463 8 .8 1 0 .0 KATULANI 1 2,170 1 2,166 4 1 1,116 9 1.4 1 ,050 8 .6 - - KISASI 1 0,866 1 0,860 6 9 ,812 9 0.3 1 ,045 9 .6 3 0 .0 KITUI CENTRAL 2 9,057 2 9,026 3 1 1 7,874 6 1.6 1 1,150 3 8.4 2 0 .0 KITUI WEST 1 7,497 1 7,465 3 2 1 5,739 9 0.1 1 ,726 9 .9 - - KYUSO 1 5,993 1 5,969 2 4 1 4,523 9 0.9 1 ,443 9 .0 3 0 .0 LOWER YATTA 1 5,454 1 5,021 4 33 1 2,978 8 6.4 2 ,040 1 3.6 3 0 .0 MATINYANI 1 1,513 1 1,497 1 6 1 0,973 9 5.4 5 24 4 .6 - - MIGWANI 1 9,096 1 8,843 2 53 1 7,666 9 3.8 1 ,169 6 .2 8 0 .0 MUMONI 6 ,496 6 ,451 4 5 6 ,039 9 3.6 4 11 6 .4 1 0 .0 MUTITU 1 1,521 1 1,490 3 1 1 0,579 9 2.1 8 94 7 .8 1 7 0 .1 MUTITU NORTH 4 ,929 4 ,929 - 4 ,437 9 0.0 4 91 1 0.0 1 0 .0 MUTOMO 2 3,044 2 3,034 1 0 2 0,684 8 9.8 2 ,346 1 0.2 4 0 .0 MWINGI CENTRAL 2 6,753 2 6,745 8 1 9,301 7 2.2 7 ,437 2 7.8 7 0 .0 MWINGI EAST 1 8,730 1 8,725 5 1 7,188 9 1.8 1 ,531 8 .2 6 0 .0 NZAMBANI 1 1,276 1 1,276 - 9 ,778 8 6.7 1 ,498 1 3.3 - - THAGICU 3 ,289 3 ,289 - 3 ,187 9 6.9 1 02 3 .1 - - TSEIKURU 8 ,579 8 ,449 1 30 7 ,637 9 0.4 8 12 9 .6 - - MACHAKOS 4 02,466 3 99,523 2 ,943 2 57,882 6 4.5 1 41,539 3 5.4 1 02 0 .0 ATHI RIVER 1 09,735 1 09,723 1 2 2 4,013 2 1.9 8 5,645 7 8.1 6 5 0 .1 KALAMA 1 4,182 1 4,137 4 5 1 2,974 9 1.8 1 ,162 8 .2 1 0 .0 KANGUNDO 2 6,142 2 6,115 2 7 2 3,963 9 1.8 2 ,149 8 .2 3 0 .0 246

Page 260

Table 2.10: Distribution of Households and Tenure Status of Main Dwelling Unit by Area of Residence, County and Sub-County Tenure Status (Conventional Households) Households County/ Sub-County Owned Rented/Provided Not Stated Group Total Conventional Quarters Number per cent Number per cent Number per cent KATHIANI 2 8,730 2 8,730 - 2 6,630 9 2.7 2 ,094 7 .3 6 0 .0 MACHAKOS 5 0,979 5 0,753 2 26 2 9,501 5 8.1 2 1,246 4 1.9 6 0 .0 MASINGA 3 6,251 3 6,196 5 5 3 1,913 8 8.2 4 ,279 1 1.8 4 0 .0 MATUNGULU 4 4,454 4 4,399 5 5 3 3,555 7 5.6 1 0,838 2 4.4 6 0 .0 MWALA 4 5,840 4 5,809 3 1 4 0,781 8 9.0 5 ,021 1 1.0 7 0 .0 YATTA 4 6,153 4 3,661 2 ,492 3 4,552 7 9.1 9 ,105 2 0.9 4 0 .0 MAKUENI 2 44,669 2 43,979 6 90 1 98,314 8 1.3 4 5,609 1 8.7 5 6 0 .0 KATHONZWENI 1 8,365 1 8,362 3 1 6,205 8 8.3 2 ,153 1 1.7 4 0 .0 KIBWEZI 4 7,912 4 7,594 3 18 3 6,202 7 6.1 1 1,379 2 3.9 1 3 0 .0 KILUNGU 1 4,586 1 4,563 2 3 1 3,933 9 5.7 6 26 4 .3 4 0 .0 MAKINDU 2 1,756 2 1,662 9 4 1 5,374 7 1.0 6 ,280 2 9.0 8 0 .0 MAKUENI 3 4,479 3 4,352 1 27 2 4,768 7 2.1 9 ,580 2 7.9 4 0 .0 MBOONI EAST 2 3,734 2 3,724 1 0 2 1,629 9 1.2 2 ,094 8 .8 1 0 .0 MBOONI WEST 2 4,833 2 4,807 2 6 2 3,134 9 3.3 1 ,670 6 .7 3 0 .0 MUKAA 2 8,185 2 8,109 7 6 2 2,229 7 9.1 5 ,871 2 0.9 9 0 .0 NZAUI 3 0,819 3 0,806 1 3 2 4,840 8 0.6 5 ,956 1 9.3 1 0 0 .0 NYANDARUA 1 79,686 1 78,224 1 ,462 1 24,463 6 9.8 5 3,734 3 0.1 2 7 0 .0 KINANGOP 3 0,970 3 0,847 1 23 2 1,230 6 8.8 9 ,613 3 1.2 4 0 .0 NYANDARUA SOUTH 2 5,822 2 5,650 1 72 1 7,554 6 8.4 8 ,094 3 1.6 2 0 .0 MIRANGINE 1 8,816 1 7,880 9 36 1 2,755 7 1.3 5 ,123 2 8.7 2 0 .0 KIPIPIRI 2 5,200 2 5,077 1 23 2 0,282 8 0.9 4 ,787 1 9.1 8 0 .0 NYANDARUA CENTRAL 2 1,942 2 1,852 9 0 1 2,843 5 8.8 9 ,007 4 1.2 2 0 .0 NYANDARUA WEST 2 9,008 2 9,003 5 1 8,510 6 3.8 1 0,489 3 6.2 4 0 .0 NYANDARUA NORTH 2 7,917 2 7,906 1 1 2 1,289 7 6.3 6 ,612 2 3.7 5 0 .0 ABERDARE NATIONAL PARK 1 1 9 2 - - 9 1 00.0 - - NYERI 2 48,050 2 44,564 3 ,486 1 63,617 6 6.9 8 0,917 3 3.1 3 0 0 .0 TETU 2 4,139 2 4,122 1 7 2 1,134 8 7.6 2 ,987 1 2.4 1 0 .0 KIENI EAST 3 6,835 3 6,751 8 4 1 9,749 5 3.7 1 6,997 4 6.2 5 0 .0 KIENI WEST 2 7,619 2 7,530 8 9 1 9,249 6 9.9 8 ,276 3 0.1 5 0 .0 MATHIRA EAST 3 5,044 3 3,945 1 ,099 2 1,506 6 3.4 1 2,437 3 6.6 2 0 .0 MATHIRA WEST 1 9,020 1 8,892 1 28 1 6,647 8 8.1 2 ,242 1 1.9 3 0 .0 NYERI SOUTH 2 8,228 2 8,103 1 25 2 2,149 7 8.8 5 ,952 2 1.2 2 0 .0 MUKURWE-INI 2 7,040 2 7,036 4 2 4,284 8 9.8 2 ,750 1 0.2 2 0 .0 NYERI CENTRAL 4 9,945 4 8,036 1 ,909 1 8,872 3 9.3 2 9,154 6 0.7 1 0 0 .0 MT. KENYA FOREST 1 01 1 01 - 2 7 2 6.7 7 4 7 3.3 - - ABERDARE FOREST 7 9 4 8 3 1 - - 4 8 1 00.0 - - KIRINYAGA 2 04,188 2 03,576 6 12 1 42,225 6 9.9 6 1,325 3 0.1 2 6 0 .0 KIRINYAGA CENTRAL 4 0,225 4 0,149 7 6 2 9,577 7 3.7 1 0,570 2 6.3 2 0 .0 KIRINYAGA EAST 4 4,571 4 4,509 6 2 3 6,758 8 2.6 7 ,739 1 7.4 1 2 0 .0 KIRINYAGA WEST 3 8,309 3 7,951 3 58 2 7,121 7 1.5 1 0,827 2 8.5 3 0 .0 MWEA EAST 4 6,340 4 6,331 9 2 4,871 5 3.7 2 1,452 4 6.3 8 0 .0 MWEA WEST 3 4,720 3 4,613 1 07 2 3,898 6 9.0 1 0,714 3 1.0 1 0 .0 MT. KENYA FOREST 2 3 2 3 - - - 2 3 1 00.0 - - MURANG’A 3 18,105 3 17,496 6 09 2 42,262 7 6.3 7 5,177 2 3.7 5 7 0 .0 MURANG’A EAST 3 4,734 3 4,650 8 4 2 2,256 6 4.2 1 2,390 3 5.8 4 0 .0 KANGEMA 2 5,293 2 5,283 1 0 2 1,231 8 4.0 4 ,052 1 6.0 - - MATHIOYA 2 8,400 2 8,372 2 8 2 4,509 8 6.4 3 ,858 1 3.6 5 0 .0 KAHURO 2 6,930 2 6,778 1 52 2 4,170 9 0.3 2 ,604 9 .7 4 0 .0 MURANG’A SOUTH 5 5,998 5 5,878 1 20 3 8,345 6 8.6 1 7,518 3 1.4 1 5 0 .0 GATANGA 5 5,461 5 5,340 1 21 3 8,246 6 9.1 1 7,085 3 0.9 9 0 .0 KIGUMO 4 0,552 4 0,528 2 4 3 2,237 7 9.5 8 ,282 2 0.4 9 0 .0 KANDARA 5 0,704 5 0,657 4 7 4 1,268 8 1.5 9 ,378 1 8.5 1 1 0 .0 ABERDARE FOREST 3 3 1 0 2 3 - - 1 0 1 00.0 - - KIAMBU 7 95,241 7 92,333 2 ,908 2 94,040 3 7.1 4 98,012 6 2.9 2 81 0 .0 GATUNDU NORTH 3 1,472 3 1,452 2 0 2 4,970 7 9.4 6 ,475 2 0.6 7 0 .0 GATUNDU SOUTH 3 5,609 3 5,577 3 2 2 8,120 7 9.0 7 ,442 2 0.9 1 5 0 .0 GITHUNGURI 4 9,426 4 9,414 1 2 3 5,436 7 1.7 1 3,963 2 8.3 1 5 0 .0 JUJA 1 04,301 1 04,042 2 59 3 0,347 2 9.2 7 3,652 7 0.8 4 3 0 .0 KABETE 6 6,710 6 6,681 2 9 2 3,937 3 5.9 4 2,720 6 4.1 2 4 0 .0 KIAMBAA 8 0,332 8 0,316 1 6 2 4,745 3 0.8 5 5,535 6 9.1 3 6 0 .0 KIAMBU 4 7,275 4 6,816 4 59 1 5,786 3 3.7 3 1,003 6 6.2 2 7 0 .1 KIKUYU 6 0,686 6 0,619 6 7 2 4,005 3 9.6 3 6,606 6 0.4 8 0 .0 LARI 3 8,592 3 8,585 7 2 5,647 6 6.5 1 2,933 3 3.5 5 0 .0 247

Page 261

Table 2.10: Distribution of Households and Tenure Status of Main Dwelling Unit by Area of Residence, County and Sub-County Tenure Status (Conventional Households) Households County/ Sub-County Owned Rented/Provided Not Stated Group Total Conventional Quarters Number per cent Number per cent Number per cent LIMURU 4 9,174 4 9,096 7 8 2 2,447 4 5.7 2 6,637 5 4.3 1 2 0 .0 RUIRU 1 29,470 1 27,910 1 ,560 2 0,435 1 6.0 1 07,423 8 4.0 5 2 0 .0 THIKA EAST 1 2,736 1 2,736 - 5 ,987 4 7.0 6 ,743 5 2.9 6 0 .0 THIKA WEST 8 9,458 8 9,089 3 69 1 2,178 1 3.7 7 6,880 8 6.3 3 1 0 .0 TURKANA 1 64,519 1 62,627 1 ,892 1 37,157 8 4.3 2 5,351 1 5.6 1 19 0 .1 KIBISH 5 ,805 5 ,699 1 06 5 ,651 9 9.2 4 8 0 .8 - - LOIMA 1 9,438 1 9,139 2 99 1 8,864 9 8.6 2 55 1 .3 2 0 0 .1 TURKANA CENTRAL 3 8,173 3 7,917 2 56 2 8,484 7 5.1 9 ,422 2 4.8 1 1 0 .0 TURKANA EAST 1 7,981 1 7,887 9 4 1 7,396 9 7.3 4 73 2 .6 1 8 0 .1 TURKANA NORTH 1 3,119 1 2,964 1 55 1 2,482 9 6.3 4 81 3 .7 1 0 .0 TURKANA SOUTH 2 4,552 2 4,281 2 71 2 0,968 8 6.4 3 ,300 1 3.6 1 3 0 .1 TURKANA WEST 4 5,451 4 4,740 7 11 3 3,312 7 4.5 1 1,372 2 5.4 5 6 0 .1 WEST POKOT 1 16,182 1 15,761 4 21 1 01,538 8 7.7 1 4,192 1 2.3 3 1 0 .0 KIPKOMO 1 8,370 1 8,367 3 1 5,894 8 6.5 2 ,473 1 3.5 - - POKOT CENTRAL 2 1,850 2 1,784 6 6 2 0,732 9 5.2 1 ,048 4 .8 4 0 .0 POKOT NORTH 2 5,804 2 5,736 6 8 2 4,640 9 5.7 1 ,079 4 .2 1 7 0 .1 POKOT SOUTH 1 3,817 1 3,752 6 5 1 2,693 9 2.3 1 ,059 7 .7 - - WEST POKOT 3 6,341 3 6,122 2 19 2 7,579 7 6.3 8 ,533 2 3.6 1 0 0 .0 SAMBURU 6 5,910 6 3,951 1 ,959 5 4,402 8 5.1 9 ,543 1 4.9 6 0 .0 SAMBURU CENTRAL 3 4,202 3 3,720 4 82 2 7,041 8 0.2 6 ,675 1 9.8 4 0 .0 SAMBURU EAST 1 8,424 1 7,307 1 ,117 1 5,358 8 8.7 1 ,949 1 1.3 - - SAMBURU NORTH 1 3,284 1 2,924 3 60 1 2,003 9 2.9 9 19 7 .1 2 0 .0 TRANS NZOIA 2 23,808 2 22,989 8 19 1 50,986 6 7.7 7 1,976 3 2.3 2 7 0 .0 TRANS NZOIA WEST 4 7,603 4 7,576 2 7 2 4,745 5 2.0 2 2,818 4 8.0 1 3 0 .0 TRANS NZOIA EAST 5 0,017 4 9,955 6 2 3 8,841 7 7.8 1 1,112 2 2.2 2 0 .0 KWANZA 4 5,752 4 5,599 1 53 3 2,892 7 2.1 1 2,703 2 7.9 4 0 .0 ENDEBESS 2 3,705 2 3,246 4 59 1 7,323 7 4.5 5 ,921 2 5.5 2 0 .0 KIMININI 5 6,731 5 6,613 1 18 3 7,185 6 5.7 1 9,422 3 4.3 6 0 .0 UASIN GISHU 3 04,943 3 01,110 3 ,833 1 53,094 5 0.8 1 47,951 4 9.1 6 5 0 .0 AINABKOI 3 4,892 3 4,862 3 0 1 8,637 5 3.5 1 6,218 4 6.5 7 0 .0 KAPSERET 5 9,746 5 9,678 6 8 1 8,690 3 1.3 4 0,966 6 8.6 2 2 0 .0 KESSES 3 4,653 3 4,623 3 0 2 4,512 7 0.8 1 0,104 2 9.2 7 0 .0 MOIBEN 4 6,729 4 6,602 1 27 2 4,383 5 2.3 2 2,214 4 7.7 5 0 .0 SOY 5 3,784 5 3,758 2 6 3 5,993 6 7.0 1 7,758 3 3.0 7 0 .0 TURBO 7 5,139 7 1,587 3 ,552 3 0,879 4 3.1 4 0,691 5 6.8 1 7 0 .0 ELGEYO/MARAKWET 9 9,861 9 9,119 7 42 8 1,228 8 1.9 1 7,868 1 8.0 2 3 0 .0 KEIYO NORTH 2 1,947 2 1,749 1 98 1 6,597 7 6.3 5 ,146 2 3.7 6 0 .0 KEIYO SOUTH 2 7,029 2 6,740 2 89 2 2,984 8 6.0 3 ,750 1 4.0 6 0 .0 MARAKWET EAST 2 1,362 2 1,123 2 39 1 8,654 8 8.3 2 ,468 1 1.7 1 0 .0 MARAKWET WEST 2 9,523 2 9,507 1 6 2 2,993 7 7.9 6 ,504 2 2.0 1 0 0 .0 NANDI 1 99,426 1 99,040 3 86 1 56,477 7 8.6 4 2,536 2 1.4 2 7 0 .0 CHESUMEI 3 9,051 3 9,011 4 0 2 8,645 7 3.4 1 0,363 2 6.6 3 0 .0 NANDI CENTRAL 3 4,400 3 4,247 1 53 2 5,900 7 5.6 8 ,346 2 4.4 1 0 .0 NANDI EAST 2 9,253 2 9,249 4 1 6,813 5 7.5 1 2,427 4 2.5 9 0 .0 NANDI NORTH 3 5,297 3 5,257 4 0 3 2,065 9 0.9 3 ,185 9 .0 7 0 .0 NANDI SOUTH 3 7,094 3 7,038 5 6 3 2,931 8 8.9 4 ,105 1 1.1 2 0 .0 TINDERET 2 4,331 2 4,238 9 3 2 0,123 8 3.0 4 ,110 1 7.0 5 0 .0 BARINGO 1 42,518 1 41,877 6 41 1 13,578 8 0.1 2 8,282 1 9.9 1 7 0 .0 BARINGO CENTRAL 2 3,555 2 3,523 3 2 1 7,167 7 3.0 6 ,352 2 7.0 4 0 .0 BARINGO NORTH 2 3,500 2 3,345 1 55 2 1,193 9 0.8 2 ,151 9 .2 1 0 .0 EAST POKOT 1 4,498 1 4,392 1 06 1 3,750 9 5.5 6 42 4 .5 - - KOIBATEK 3 0,774 3 0,752 2 2 2 0,125 6 5.4 1 0,622 3 4.5 5 0 .0 MARIGAT 1 9,854 1 9,658 1 96 1 5,064 7 6.6 4 ,590 2 3.3 4 0 .0 MOGOTIO 1 8,184 1 8,169 1 5 1 4,836 8 1.7 3 ,333 1 8.3 - - TIATY EAST 1 2,153 1 2,038 1 15 1 1,443 9 5.1 5 92 4 .9 3 0 .0 LAIKIPIA 1 49,271 1 45,776 3 ,495 8 8,923 6 1.0 5 6,835 3 9.0 1 8 0 .0 LAIKIPIA CENTRAL 3 0,372 2 9,877 4 95 1 8,707 6 2.6 1 1,165 3 7.4 5 0 .0 LAIKIPIA EAST 3 3,505 3 1,311 2 ,194 1 4,013 4 4.8 1 7,295 5 5.2 3 0 .0 LAIKIPIA NORTH 7 ,752 7 ,694 5 8 6 ,600 8 5.8 1 ,093 1 4.2 1 0 .0 LAIKIPIA WEST 3 3,025 3 2,821 2 04 2 4,232 7 3.8 8 ,582 2 6.1 7 0 .0 NYAHURURU 4 4,617 4 4,073 5 44 2 5,371 5 7.6 1 8,700 4 2.4 2 0 .0 NAKURU 6 16,046 5 98,237 1 7,809 2 75,360 4 6.0 3 22,763 5 4.0 1 14 0 .0 GILGIL 5 8,920 4 9,405 9 ,515 2 6,371 5 3.4 2 3,021 4 6.6 1 3 0 .0 248

Page 262

Table 2.10: Distribution of Households and Tenure Status of Main Dwelling Unit by Area of Residence, County and Sub-County Tenure Status (Conventional Households) Households County/ Sub-County Owned Rented/Provided Not Stated Group Total Conventional Quarters Number per cent Number per cent Number per cent KURESOI NORTH 4 0,359 4 0,168 1 91 3 1,366 7 8.1 8 ,795 2 1.9 7 0 .0 KURESOI SOUTH 3 4,627 3 4,543 8 4 2 7,764 8 0.4 6 ,777 1 9.6 2 0 .0 MOLO 4 1,462 4 1,439 2 3 2 3,440 5 6.6 1 7,995 4 3.4 4 0 .0 NAIVASHA 1 17,633 1 11,493 6 ,140 3 3,504 3 0.1 7 7,962 6 9.9 2 7 0 .0 NAKURU EAST 6 1,398 6 0,066 1 ,332 9 ,659 1 6.1 5 0,388 8 3.9 1 9 0 .0 NAKURU NORTH 6 1,728 6 1,582 1 46 2 9,591 4 8.1 3 1,977 5 1.9 1 4 0 .0 NAKURU WEST 6 4,481 6 4,429 5 2 9 ,867 1 5.3 5 4,557 8 4.7 5 0 .0 NJORO 6 1,271 6 1,156 1 15 3 8,198 6 2.5 2 2,949 3 7.5 9 0 .0 RONGAI 5 2,348 5 2,248 1 00 2 9,297 5 6.1 2 2,944 4 3.9 7 0 .0 SUBUKIA 2 1,819 2 1,708 1 11 1 6,303 7 5.1 5 ,398 2 4.9 7 0 .0 NAROK 2 41,125 2 38,115 3 ,010 1 83,078 7 6.9 5 4,964 2 3.1 7 3 0 .0 NAROK EAST 2 5,078 2 4,860 2 18 1 8,264 7 3.5 6 ,594 2 6.5 2 0 .0 NAROK NORTH 5 9,996 5 9,802 1 94 3 2,796 5 4.8 2 6,982 4 5.1 2 4 0 .0 NAROK SOUTH 4 6,723 4 6,549 1 74 4 1,116 8 8.3 5 ,423 1 1.7 1 0 0 .0 NAROK WEST 3 8,658 3 7,782 8 76 3 4,125 9 0.3 3 ,648 9 .7 9 0 .0 TRANS MARA EAST 2 0,506 2 0,439 6 7 1 9,832 9 7.0 6 02 2 .9 5 0 .0 TRANS MARA WEST 5 0,132 4 8,683 1 ,449 3 6,945 7 5.9 1 1,715 2 4.1 2 3 0 .0 MAU FOREST 3 2 - 3 2 - - - - - - KAJIADO 3 16,179 3 13,218 2 ,961 1 27,223 4 0.6 1 85,863 5 9.3 1 32 0 .0 ISINYA 7 1,579 7 1,395 1 84 1 2,686 1 7.8 5 8,651 8 2.2 5 8 0 .1 KAJIADO CENTRAL 3 7,238 3 7,059 1 79 2 3,991 6 4.7 1 3,062 3 5.2 6 0 .0 KAJIADO NORTH 1 01,378 1 00,908 4 70 1 9,017 1 8.8 8 1,846 8 1.1 4 5 0 .0 KAJIADO WEST 4 2,774 4 2,367 4 07 2 9,966 7 0.7 1 2,386 2 9.2 1 5 0 .0 LOITOKITOK 4 7,058 4 5,581 1 ,477 3 2,205 7 0.7 1 3,370 2 9.3 6 0 .0 MASHUURU 1 6,152 1 5,908 2 44 9 ,358 5 8.8 6 ,548 4 1.2 2 0 .0 KERICHO 2 06,036 2 05,932 1 04 1 52,990 7 4.3 5 2,873 2 5.7 6 9 0 .0 BELGUT 3 5,012 3 4,978 3 4 2 4,452 6 9.9 1 0,519 3 0.1 7 0 .0 BURETI 4 3,117 4 3,098 1 9 3 5,020 8 1.3 8 ,073 1 8.7 5 0 .0 KERICHO EAST 4 4,246 4 4,246 - 2 3,449 5 3.0 2 0,768 4 6.9 2 9 0 .1 KIPKELION 2 4,688 2 4,676 1 2 2 2,539 9 1.3 2 ,125 8 .6 1 2 0 .0 LONDIANI 3 1,778 3 1,739 3 9 2 3,558 7 4.2 8 ,171 2 5.7 1 0 0 .0 SOIN SIGOWET 2 7,195 2 7,195 - 2 3,972 8 8.1 3 ,217 1 1.8 6 0 .0 BOMET 1 87,641 1 87,230 4 11 1 55,576 8 3.1 3 1,630 1 6.9 2 4 0 .0 BOMET EAST 2 9,958 2 9,897 6 1 2 7,472 9 1.9 2 ,420 8 .1 5 0 .0 CHEPALUNGU 3 3,931 3 3,850 8 1 3 2,715 9 6.6 1 ,131 3 .3 4 0 .0 KONOIN 3 8,178 3 8,123 5 5 2 4,381 6 4.0 1 3,736 3 6.0 6 0 .0 SOTIK 4 7,315 4 7,265 5 0 4 1,107 8 7.0 6 ,153 1 3.0 5 0 .0 BOMET CENTRAL 3 8,259 3 8,095 1 64 2 9,901 7 8.5 8 ,190 2 1.5 4 0 .0 KAKAMEGA 4 33,207 4 32,284 9 23 3 69,381 8 5.4 6 2,765 1 4.5 1 38 0 .0 BUTERE 3 6,243 3 6,243 - 3 3,817 9 3.3 2 ,422 6 .7 4 0 .0 KAKAMEGA CENTRAL 5 2,015 5 1,956 5 9 2 8,145 5 4.2 2 3,790 4 5.8 2 1 0 .0 KAKAMEGA EAST 3 9,589 3 9,589 - 3 5,942 9 0.8 3 ,602 9 .1 4 5 0 .1 KAKAMEGA NORTH 5 1,083 5 0,952 1 31 4 5,870 9 0.0 5 ,063 9 .9 1 9 0 .0 KAKAMEGA SOUTH 2 6,964 2 6,940 2 4 2 5,580 9 5.0 1 ,353 5 .0 7 0 .0 KHWISERO 2 7,681 2 7,681 - 2 6,168 9 4.5 1 ,510 5 .5 3 0 .0 LIKUYANI 3 5,322 3 4,776 5 46 2 7,929 8 0.3 6 ,842 1 9.7 5 0 .0 LUGARI 2 7,862 2 7,817 4 5 2 3,853 8 5.7 3 ,959 1 4.2 5 0 .0 MATETE 1 3,956 1 3,956 - 1 2,736 9 1.3 1 ,220 8 .7 - - MATUNGU 3 6,457 3 6,414 4 3 3 3,837 9 2.9 2 ,569 7 .1 8 0 .0 MUMIAS EAST 2 6,049 2 5,995 5 4 2 3,768 9 1.4 2 ,223 8 .6 4 0 .0 MUMIAS WEST 2 7,671 2 7,650 2 1 2 0,683 7 4.8 6 ,957 2 5.2 1 0 0 .0 NAVAKHOLO 3 2,315 3 2,315 - 3 1,053 9 6.1 1 ,255 3 .9 7 0 .0 VIHIGA 1 43,365 1 43,288 7 7 1 26,261 8 8.1 1 6,993 1 1.9 3 4 0 .0 EMUHAYA 2 3,804 2 3,803 1 2 2,471 9 4.4 1 ,325 5 .6 7 0 .0 VIHIGA 2 3,375 2 3,359 1 6 1 9,729 8 4.5 3 ,622 1 5.5 8 0 .0 SABATIA 3 1,422 3 1,391 3 1 2 6,951 8 5.9 4 ,434 1 4.1 6 0 .0 LUANDA 2 6,766 2 6,766 - 2 3,635 8 8.3 3 ,123 1 1.7 8 0 .0 HAMISI 3 7,986 3 7,965 2 1 3 3,475 8 8.2 4 ,485 1 1.8 5 0 .0 KAKAMEGA FOREST 1 2 4 8 - - 4 1 00.0 - - BUNGOMA 3 58,796 3 57,714 1 ,082 2 93,353 8 2.0 6 4,317 1 8.0 4 4 0 .0 BUMULA 4 4,954 4 4,922 3 2 4 2,150 9 3.8 2 ,770 6 .2 2 0 .0 BUNGOMA CENTRAL 3 7,803 3 7,535 2 68 3 2,160 8 5.7 5 ,374 1 4.3 1 0 .0 BUNGOMA EAST 2 4,873 2 4,798 7 5 2 0,258 8 1.7 4 ,536 1 8.3 4 0 .0 249

Page 263

Table 2.10: Distribution of Households and Tenure Status of Main Dwelling Unit by Area of Residence, County and Sub-County Tenure Status (Conventional Households) Households County/ Sub-County Owned Rented/Provided Not Stated Group Total Conventional Quarters Number per cent Number per cent Number per cent BUNGOMA NORTH 2 4,998 2 4,940 5 8 2 2,030 8 8.3 2 ,905 1 1.6 5 0 .0 BUNGOMA SOUTH 6 9,151 6 9,088 6 3 4 3,753 6 3.3 2 5,330 3 6.7 5 0 .0 CHEPTAIS 2 6,326 2 6,007 3 19 2 2,950 8 8.2 3 ,052 1 1.7 5 0 .0 KIMILILI 3 5,263 3 5,053 2 10 2 8,006 7 9.9 7 ,044 2 0.1 3 0 .0 MT ELGON 1 5,276 1 5,230 4 6 1 3,082 8 5.9 2 ,144 1 4.1 4 0 .0 BUNGOMA WEST 2 5,172 2 5,166 6 2 2,830 9 0.7 2 ,329 9 .3 7 0 .0 TONGAREN 2 1,343 2 1,343 - 1 8,731 8 7.8 2 ,606 1 2.2 6 0 .0 WEBUYE WEST 3 2,839 3 2,834 5 2 6,611 8 1.0 6 ,221 1 8.9 2 0 .0 MT. ELGON FOREST 7 98 7 98 - 7 92 9 9.2 6 0 .8 - - BUSIA 1 98,152 1 97,944 2 08 1 61,775 8 1.7 3 6,137 1 8.3 3 2 0 .0 BUNYALA 1 9,039 1 9,028 1 1 1 4,906 7 8.3 4 ,120 2 1.7 2 0 .0 BUSIA 3 3,160 3 3,152 8 2 2,664 6 8.4 1 0,472 3 1.6 1 6 0 .0 BUTULA 3 2,213 3 2,199 1 4 2 8,961 8 9.9 3 ,235 1 0.0 3 0 .0 NAMBALE 2 3,892 2 3,889 3 2 1,067 8 8.2 2 ,818 1 1.8 4 0 .0 SAMIA 2 3,884 2 3,813 7 1 2 1,552 9 0.5 2 ,261 9 .5 - - TESO NORTH 2 9,395 2 9,314 8 1 2 3,404 7 9.8 5 ,908 2 0.2 2 0 .0 TESO SOUTH 3 6,569 3 6,549 2 0 2 9,221 8 0.0 7 ,323 2 0.0 5 0 .0 SIAYA 2 50,698 2 49,341 1 ,357 2 02,274 8 1.1 4 6,969 1 8.8 9 8 0 .0 SIAYA 5 7,553 5 7,386 1 67 4 5,942 8 0.1 1 1,408 1 9.9 3 6 0 .1 GEM 4 4,884 4 4,696 1 88 3 9,766 8 9.0 4 ,915 1 1.0 1 5 0 .0 UGENYA 3 3,565 3 3,554 1 1 2 9,926 8 9.2 3 ,622 1 0.8 6 0 .0 UGUNJA 2 6,328 2 6,321 7 2 2,008 8 3.6 4 ,311 1 6.4 2 0 .0 BONDO 5 1,362 5 0,454 9 08 3 2,584 6 4.6 1 7,851 3 5.4 1 9 0 .0 RARIEDA 3 7,006 3 6,930 7 6 3 2,048 8 6.8 4 ,862 1 3.2 2 0 0 .1 KISUMU 3 00,745 2 96,846 3 ,899 1 76,699 5 9.5 1 20,033 4 0.4 1 14 0 .0 KISUMU EAST 6 1,871 6 1,499 3 72 2 4,181 3 9.3 3 7,293 6 0.6 2 5 0 .0 KISUMU CENTRAL 5 2,331 5 2,163 1 68 6 ,148 1 1.8 4 5,990 8 8.2 2 5 0 .0 KISUMU WEST 4 5,933 4 2,785 3 ,148 2 8,458 6 6.5 1 4,310 3 3.4 1 7 0 .0 SEME 2 9,404 2 9,404 - 2 6,793 9 1.1 2 ,608 8 .9 3 0 .0 MUHORONI 3 7,193 3 6,982 2 11 2 7,362 7 4.0 9 ,604 2 6.0 1 6 0 .0 NYANDO 3 8,460 3 8,460 - 3 1,994 8 3.2 6 ,452 1 6.8 1 4 0 .0 NYAKACH 3 5,553 3 5,553 - 3 1,763 8 9.3 3 ,776 1 0.6 1 4 0 .0 HOMA BAY 2 62,036 2 60,290 1 ,746 2 11,772 8 1.4 4 8,472 1 8.6 4 6 0 .0 HOMA BAY 2 9,318 2 8,471 8 47 1 7,013 5 9.8 1 1,451 4 0.2 7 0 .0 NDHIWA 4 8,062 4 7,956 1 06 4 3,149 9 0.0 4 ,801 1 0.0 6 0 .0 RACHUONYO NORTH 4 1,809 4 1,661 1 48 3 6,831 8 8.4 4 ,818 1 1.6 1 2 0 .0 RACHUONYO EAST 2 7,319 2 7,229 9 0 2 4,870 9 1.3 2 ,357 8 .7 2 0 .0 RACHUONYO SOUTH 3 0,990 3 0,693 2 97 2 4,139 7 8.6 6 ,550 2 1.3 4 0 .0 RANGWE 2 7,003 2 6,983 2 0 2 4,985 9 2.6 1 ,995 7 .4 3 0 .0 SUBA NORTH 2 9,766 2 9,662 1 04 2 0,095 6 7.7 9 ,563 3 2.2 4 0 .0 SUBA SOUTH 2 7,769 2 7,635 1 34 2 0,690 7 4.9 6 ,937 2 5.1 8 0 .0 MIGORI 2 40,168 2 38,133 2 ,035 1 88,705 7 9.2 4 9,346 2 0.7 8 2 0 .0 AWENDO 2 7,033 2 7,014 1 9 2 0,311 7 5.2 6 ,690 2 4.8 1 3 0 .0 KURIA EAST 1 7,363 1 7,267 9 6 1 6,329 9 4.6 9 32 5 .4 6 0 .0 KURIA WEST 3 9,781 3 9,723 5 8 3 0,772 7 7.5 8 ,938 2 2.5 1 3 0 .0 NYATIKE 4 0,257 3 9,358 8 99 3 1,551 8 0.2 7 ,794 1 9.8 1 3 0 .0 RONGO 2 9,087 2 9,007 8 0 2 1,997 7 5.8 7 ,005 2 4.1 5 0 .0 SUNA EAST 2 7,302 2 7,214 8 8 2 0,309 7 4.6 6 ,890 2 5.3 1 5 0 .1 SUNA WEST 2 9,251 2 8,839 4 12 2 0,638 7 1.6 8 ,198 2 8.4 3 0 .0 URIRI 3 0,094 2 9,711 3 83 2 6,798 9 0.2 2 ,899 9 .8 1 4 0 .0 KISII 3 08,054 3 07,254 8 00 2 55,080 8 3.0 5 2,130 1 7.0 4 4 0 .0 ETAGO 1 8,610 1 8,610 - 1 7,382 9 3.4 1 ,225 6 .6 3 0 .0 GUCHA 1 9,657 1 9,621 3 6 1 7,178 8 7.5 2 ,438 1 2.4 5 0 .0 GUCHA SOUTH 1 9,732 1 9,627 1 05 1 7,769 9 0.5 1 ,851 9 .4 7 0 .0 KENYENYA 3 0,989 3 0,985 4 2 7,477 8 8.7 3 ,505 1 1.3 3 0 .0 KISII CENTRAL 4 4,311 4 4,037 2 74 2 8,557 6 4.8 1 5,476 3 5.1 4 0 .0 KISII SOUTH 3 1,696 3 1,574 1 22 2 8,140 8 9.1 3 ,432 1 0.9 2 0 .0 KITUTU CENTRAL 4 1,271 4 1,233 3 8 2 4,986 6 0.6 1 6,236 3 9.4 1 1 0 .0 MARANI 2 6,186 2 6,133 5 3 2 4,978 9 5.6 1 ,150 4 .4 5 0 .0 MASABA SOUTH 2 9,232 2 9,206 2 6 2 6,246 8 9.9 2 ,958 1 0.1 2 0 .0 NYAMACHE 3 0,712 3 0,583 1 29 2 8,092 9 1.9 2 ,490 8 .1 1 0 .0 SAMETA 1 5,658 1 5,645 1 3 1 4,275 9 1.2 1 ,369 8 .8 1 0 .0 250

Page 264

Table 2.10: Distribution of Households and Tenure Status of Main Dwelling Unit by Area of Residence, County and Sub-County Tenure Status (Conventional Households) Households County/ Sub-County Owned Rented/Provided Not Stated Group Total Conventional Quarters Number per cent Number per cent Number per cent NYAMIRA 1 50,669 1 50,499 1 70 1 28,713 8 5.5 2 1,767 1 4.5 1 9 0 .0 BORABU 1 9,468 1 9,404 6 4 1 1,035 5 6.9 8 ,368 4 3.1 1 0 .0 MANGA 2 3,869 2 3,836 3 3 2 1,457 9 0.0 2 ,376 1 0.0 3 0 .0 MASABA NORTH 2 7,913 2 7,904 9 2 4,817 8 8.9 3 ,082 1 1.0 5 0 .0 NYAMIRA NORTH 4 0,446 4 0,396 5 0 3 7,045 9 1.7 3 ,349 8 .3 2 0 .0 NYAMIRA SOUTH 3 8,973 3 8,959 1 4 3 4,359 8 8.2 4 ,592 1 1.8 8 0 .0 NAIROBI CITY 1 ,506,888 1 ,494,676 1 2,212 1 38,976 9 .3 1 ,354,882 9 0.6 8 18 0 .1 DAGORETTI 1 55,089 1 54,949 1 40 1 3,940 9 .0 1 40,898 9 0.9 1 11 0 .1 EMBAKASI 3 47,955 3 46,462 1 ,493 1 7,809 5 .1 3 28,498 9 4.8 1 55 0 .0 KAMUKUNJI 8 4,365 8 3,680 6 85 3 ,757 4 .5 7 9,869 9 5.4 5 4 0 .1 KASARANI 2 71,290 2 68,611 2 ,679 2 2,367 8 .3 2 46,121 9 1.6 1 23 0 .0 KIBRA 6 1,690 6 1,651 3 9 6 ,120 9 .9 5 5,504 9 0.0 2 7 0 .0 LANG’ATA 6 2,239 6 0,187 2 ,052 1 2,299 2 0.4 4 7,853 7 9.5 3 5 0 .1 MAKADARA 7 0,361 7 0,080 2 81 4 ,499 6 .4 6 5,557 9 3.5 2 4 0 .0 MATHARE 7 4,967 7 4,967 - 2 ,138 2 .9 7 2,778 9 7.1 5 1 0 .1 NJIRU 2 04,563 2 04,492 7 1 3 5,066 1 7.1 1 69,306 8 2.8 1 20 0 .1 STAREHE 6 9,389 6 6,108 3 ,281 3 ,928 5 .9 6 2,111 9 4.0 6 9 0 .1 WESTLANDS 1 04,980 1 03,489 1 ,491 1 7,053 1 6.5 8 6,387 8 3.5 4 9 0 .0 251

Page 265

Table 2.11a: Distribution of Households Owning the Main Dwelling Unit by Mode of Acquisition, Area of Residence, County and Sub-County Mode of Acquisition County/ Sub-County Owned Purchased Constructed Inherited Number per cent Number per cent Number per cent KENYA 7 ,379,485 2 06,186 2 .8 6 ,931,471 9 3.9 2 41,828 3 .3 Rural 6 ,387,020 1 04,846 1 .6 6 ,131,108 9 6.0 1 51,066 2 .4 Urban 9 92,465 1 01,340 1 0.2 8 00,363 8 0.6 9 0,762 9 .1 MOMBASA 7 8,346 8 ,289 1 0.6 5 8,291 7 4.4 1 1,766 1 5.0 CHANGAMWE 4 ,531 6 80 1 5.0 2 ,362 5 2.1 1 ,489 3 2.9 JOMVU 1 4,021 6 49 4 .6 1 2,295 8 7.7 1 ,077 7 .7 KISAUNI 2 5,407 2 ,198 8 .7 2 1,294 8 3.8 1 ,915 7 .5 LIKONI 1 7,401 1 ,100 6 .3 1 4,321 8 2.3 1 ,980 1 1.4 MVITA 6 ,516 1 ,536 2 3.6 1 ,759 2 7.0 3 ,221 4 9.4 NYALI 1 0,470 2 ,126 2 0.3 6 ,260 5 9.8 2 ,084 1 9.9 KWALE 1 33,135 1 ,324 1 .0 1 28,618 9 6.6 3 ,193 2 .4 KINANGO 1 4,679 4 2 0 .3 1 4,577 9 9.3 6 0 0 .4 LUNGALUNGA 3 3,298 4 28 1 .3 3 2,344 9 7.1 5 26 1 .6 MATUGA 3 2,740 2 94 0 .9 3 1,484 9 6.2 9 62 2 .9 MSAMBWENI 2 3,263 4 51 1 .9 2 1,427 9 2.1 1 ,385 6 .0 SAMBURU 2 9,155 1 09 0 .4 2 8,786 9 8.7 2 60 0 .9 KILIFI 1 99,451 3 ,021 1 .5 1 92,187 9 6.4 4 ,243 2 .1 CHONYI 1 1,098 3 1 0 .3 1 0,993 9 9.1 7 4 0 .7 GANZE 2 1,647 2 17 1 .0 2 1,296 9 8.4 1 34 0 .6 KALOLENI 2 7,636 2 14 0 .8 2 6,980 9 7.6 4 42 1 .6 KAUMA 3 ,311 1 4 0 .4 3 ,283 9 9.2 1 4 0 .4 KILIFI NORTH 2 3,143 3 11 1 .3 2 2,324 9 6.5 5 08 2 .2 KILIFI SOUTH 2 3,385 6 61 2 .8 2 2,013 9 4.1 7 11 3 .0 MAGARINI 2 8,655 3 17 1 .1 2 7,977 9 7.6 3 61 1 .3 MALINDI 4 1,731 1 ,191 2 .9 3 8,867 9 3.1 1 ,673 4 .0 RABAI 1 8,845 6 5 0 .3 1 8,454 9 7.9 3 26 1 .7 TANA RIVER 5 2,564 1 ,695 3 .2 4 9,705 9 4.6 1 ,164 2 .2 TANA DELTA 1 9,641 2 64 1 .3 1 8,989 9 6.7 3 88 2 .0 TANA NORTH 1 8,245 1 ,267 6 .9 1 6,572 9 0.8 4 06 2 .2 TANA RIVER 1 4,678 1 64 1 .1 1 4,144 9 6.4 3 70 2 .5 LAMU 2 3,238 4 08 1 .8 2 0,969 9 0.2 1 ,861 8 .0 LAMU EAST 3 ,289 9 8 3 .0 2 ,339 7 1.1 8 52 2 5.9 LAMU WEST 1 9,949 3 10 1 .6 1 8,630 9 3.4 1 ,009 5 .1 TAITA/TAVETA 6 2,688 6 38 1 .0 5 8,664 9 3.6 3 ,386 5 .4 MWATATE 1 6,932 1 49 0 .9 1 5,788 9 3.2 9 95 5 .9 TAITA 1 2,467 5 0 0 .4 1 1,583 9 2.9 8 34 6 .7 TAVETA 1 5,358 1 46 1 .0 1 4,666 9 5.5 5 46 3 .6 VOI 1 7,931 2 93 1 .6 1 6,627 9 2.7 1 ,011 5 .6 GARISSA 1 21,453 1 4,178 1 1.7 1 03,042 8 4.8 4 ,233 3 .5 BALAMBALA 3 ,915 6 46 1 6.5 3 ,180 8 1.2 8 9 2 .3 DADAAB 3 3,111 3 ,442 1 0.4 2 8,360 8 5.7 1 ,309 4 .0 FAFI 2 2,297 3 ,259 1 4.6 1 8,435 8 2.7 6 03 2 .7 GARISSA 1 7,884 2 ,338 1 3.1 1 4,718 8 2.3 8 28 4 .6 HULUGHO 1 9,759 1 ,711 8 .7 1 7,760 8 9.9 2 88 1 .5 IJARA 1 6,577 2 ,406 1 4.5 1 3,565 8 1.8 6 06 3 .7 LAGDERA 7 ,910 3 76 4 .8 7 ,024 8 8.8 5 10 6 .4 WAJIR 1 20,367 1 0,904 9 .1 1 04,965 8 7.2 4 ,498 3 .7 BUNA 6 ,327 5 70 9 .0 5 ,481 8 6.6 2 76 4 .4 ELDAS 1 3,711 1 ,570 1 1.5 1 1,885 8 6.7 2 56 1 .9 HABASWEIN 2 9,816 2 ,226 7 .5 2 6,601 8 9.2 9 89 3 .3 TARBAJ 9 ,139 1 ,288 1 4.1 7 ,446 8 1.5 4 05 4 .4 WAJIR EAST 1 4,995 1 ,470 9 .8 1 2,729 8 4.9 7 96 5 .3 WAJIR NORTH 9 ,855 5 02 5 .1 9 ,143 9 2.8 2 10 2 .1 WAJIR SOUTH 2 0,796 1 ,891 9 .1 1 7,881 8 6.0 1 ,024 4 .9 WAJIR WEST 1 5,728 1 ,387 8 .8 1 3,799 8 7.7 5 42 3 .4 MANDERA 1 14,521 1 4,365 1 2.5 9 5,432 8 3.3 4 ,724 4 .1 MANDERA WEST 1 3,481 1 ,307 9 .7 1 1,843 8 7.8 3 31 2 .5 BANISA 2 3,613 2 ,990 1 2.7 1 9,515 8 2.6 1 ,108 4 .7 KOTULO 9 ,017 5 01 5 .6 8 ,282 9 1.8 2 34 2 .6 LAFEY 1 1,066 2 ,173 1 9.6 8 ,473 7 6.6 4 20 3 .8 MANDERA CENTRAL 1 9,324 2 ,167 1 1.2 1 6,066 8 3.1 1 ,091 5 .6 252

Page 266

Table 2.11a: Distribution of Households Owning the Main Dwelling Unit by Mode of Acquisition, Area of Residence, County and Sub-County Mode of Acquisition County/ Sub-County Owned Purchased Constructed Inherited Number per cent Number per cent Number per cent MANDERA EAST 1 9,682 3 ,157 1 6.0 1 5,844 8 0.5 6 81 3 .5 MANDERA NORTH 1 8,338 2 ,070 1 1.3 1 5,409 8 4.0 8 59 4 .7 MARSABIT 6 6,082 1 ,379 2 .1 6 3,625 9 6.3 1 ,078 1 .6 LOIYANGALANI 7 ,376 1 45 2 .0 7 ,146 9 6.9 8 5 1 .2 MARSABIT CENTRAL 1 0,880 1 89 1 .7 1 0,342 9 5.1 3 49 3 .2 MARSABIT NORTH 7 ,338 6 1 0 .8 7 ,250 9 8.8 2 7 0 .4 MARSABIT SOUTH 1 1,151 1 54 1 .4 1 0,965 9 8.3 3 2 0 .3 MOYALE 1 3,395 3 31 2 .5 1 2,631 9 4.3 4 33 3 .2 NORTH HORR 9 ,449 3 20 3 .4 9 ,067 9 6.0 6 2 0 .7 SOLOLO 6 ,493 1 79 2 .8 6 ,224 9 5.9 9 0 1 .4 ISIOLO 3 8,285 1 ,305 3 .4 3 5,481 9 2.7 1 ,499 3 .9 GARBATULLA 1 5,450 8 08 5 .2 1 3,968 9 0.4 6 74 4 .4 ISIOLO 1 4,669 3 50 2 .4 1 3,550 9 2.4 7 69 5 .2 MERTI 8 ,166 1 47 1 .8 7 ,963 9 7.5 5 6 0 .7 MERU 3 13,867 3 ,520 1 .1 3 01,140 9 5.9 9 ,207 2 .9 BUURI EAST 1 7,740 3 33 1 .9 1 6,658 9 3.9 7 49 4 .2 BUURI WEST 1 3,216 4 44 3 .4 1 2,143 9 1.9 6 29 4 .8 IGEMBE CENTRAL 4 2,208 6 09 1 .4 4 0,604 9 6.2 9 95 2 .4 IGEMBE NORTH 3 1,541 2 20 0 .7 3 0,131 9 5.5 1 ,190 3 .8 IGEMBE SOUTH 2 9,694 4 74 1 .6 2 8,155 9 4.8 1 ,065 3 .6 IMENTI NORTH 3 0,338 4 34 1 .4 2 8,454 9 3.8 1 ,450 4 .8 IMENTI SOUTH 4 6,723 2 16 0 .5 4 5,443 9 7.3 1 ,064 2 .3 MERU CENTRAL 3 3,046 1 90 0 .6 3 2,107 9 7.2 7 49 2 .3 TIGANIA CENTRAL 2 2,213 2 44 1 .1 2 1,467 9 6.6 5 02 2 .3 TIGANIA EAST 1 4,873 2 01 1 .4 1 4,342 9 6.4 3 30 2 .2 TIGANIA WEST 3 2,080 1 55 0 .5 3 1,445 9 8.0 4 80 1 .5 MERU NATIONAL PARK - - - - - - - MT. KENYA FOREST 1 95 - - 1 91 9 7.9 4 2 .1 THARAKA-NITHI 9 0,352 6 95 0 .8 8 7,153 9 6.5 2 ,504 2 .8 IGAMBANG’OMBE 1 2,551 5 7 0 .5 1 2,186 9 7.1 3 08 2 .5 MAARA 2 8,925 1 98 0 .7 2 7,748 9 5.9 9 79 3 .4 MERU SOUTH 2 0,258 1 23 0 .6 1 9,509 9 6.3 6 26 3 .1 THARAKA NORTH 1 2,307 1 60 1 .3 1 1,885 9 6.6 2 62 2 .1 THARAKA SOUTH 1 6,311 1 57 1 .0 1 5,825 9 7.0 3 29 2 .0 MT. KENYA FOREST - - - - - - - EMBU 1 33,108 1 ,183 0 .9 1 28,143 9 6.3 3 ,782 2 .8 EMBU EAST 3 2,844 1 84 0 .6 3 1,745 9 6.7 9 15 2 .8 EMBU NORTH 2 0,104 1 07 0 .5 1 9,166 9 5.3 8 31 4 .1 EMBU WEST 1 9,840 2 93 1 .5 1 8,592 9 3.7 9 55 4 .8 MBEERE SOUTH 3 6,283 4 57 1 .3 3 5,111 9 6.8 7 15 2 .0 MBEERE NORTH 2 4,037 1 42 0 .6 2 3,529 9 7.9 3 66 1 .5 MT. KENYA FOREST - - - - - - - KITUI 2 24,626 2 ,287 1 .0 2 18,722 9 7.4 3 ,617 1 .6 IKUTHA 1 5,115 1 54 1 .0 1 4,822 9 8.1 1 39 0 .9 KATULANI 1 1,116 9 3 0 .8 1 0,846 9 7.6 1 77 1 .6 KISASI 9 ,812 5 7 0 .6 9 ,575 9 7.6 1 80 1 .8 KITUI CENTRAL 1 7,874 2 38 1 .3 1 7,148 9 5.9 4 88 2 .7 KITUI WEST 1 5,739 7 9 0 .5 1 5,500 9 8.5 1 60 1 .0 KYUSO 1 4,523 2 52 1 .7 1 4,105 9 7.1 1 66 1 .1 LOWER YATTA 1 2,978 2 48 1 .9 1 2,519 9 6.5 2 11 1 .6 MATINYANI 1 0,973 9 5 0 .9 1 0,646 9 7.0 2 32 2 .1 MIGWANI 1 7,666 1 02 0 .6 1 7,387 9 8.4 1 77 1 .0 MUMONI 6 ,039 4 8 0 .8 5 ,930 9 8.2 6 1 1 .0 MUTITU 1 0,579 9 4 0 .9 1 0,374 9 8.1 1 11 1 .0 MUTITU NORTH 4 ,437 6 0 1 .4 4 ,315 9 7.3 6 2 1 .4 MUTOMO 2 0,684 1 88 0 .9 2 0,272 9 8.0 2 24 1 .1 MWINGI CENTRAL 1 9,301 1 22 0 .6 1 8,994 9 8.4 1 85 1 .0 MWINGI EAST 1 7,188 2 31 1 .3 1 6,512 9 6.1 4 45 2 .6 NZAMBANI 9 ,778 9 1 0 .9 9 ,321 9 5.3 3 66 3 .7 THAGICU 3 ,187 1 3 0 .4 3 ,166 9 9.3 8 0 .3 TSEIKURU 7 ,637 1 22 1 .6 7 ,290 9 5.5 2 25 2 .9 253

Page 267

Table 2.11a: Distribution of Households Owning the Main Dwelling Unit by Mode of Acquisition, Area of Residence, County and Sub-County Mode of Acquisition County/ Sub-County Owned Purchased Constructed Inherited Number per cent Number per cent Number per cent MACHAKOS 2 57,882 5 ,033 2 .0 2 46,325 9 5.5 6 ,524 2 .5 ATHI RIVER 2 4,013 3 ,131 1 3.0 2 0,204 8 4.1 6 78 2 .8 KALAMA 1 2,974 5 4 0 .4 1 2,793 9 8.6 1 27 1 .0 KANGUNDO 2 3,963 9 6 0 .4 2 2,983 9 5.9 8 84 3 .7 KATHIANI 2 6,630 1 14 0 .4 2 5,959 9 7.5 5 57 2 .1 MACHAKOS 2 9,501 2 78 0 .9 2 7,782 9 4.2 1 ,441 4 .9 MASINGA 3 1,913 2 96 0 .9 3 1,205 9 7.8 4 12 1 .3 MATUNGULU 3 3,555 5 79 1 .7 3 1,865 9 5.0 1 ,111 3 .3 MWALA 4 0,781 1 53 0 .4 3 9,907 9 7.9 7 21 1 .8 YATTA 3 4,552 3 32 1 .0 3 3,627 9 7.3 5 93 1 .7 MAKUENI 1 98,314 1 ,579 0 .8 1 93,881 9 7.8 2 ,854 1 .4 KATHONZWENI 1 6,205 8 1 0 .5 1 5,970 9 8.5 1 54 1 .0 KIBWEZI 3 6,202 5 20 1 .4 3 5,224 9 7.3 4 58 1 .3 KILUNGU 1 3,933 3 8 0 .3 1 3,743 9 8.6 1 52 1 .1 MAKINDU 1 5,374 2 05 1 .3 1 4,956 9 7.3 2 13 1 .4 MAKUENI 2 4,768 1 52 0 .6 2 4,268 9 8.0 3 48 1 .4 MBOONI EAST 2 1,629 1 03 0 .5 2 1,260 9 8.3 2 66 1 .2 MBOONI WEST 2 3,134 9 2 0 .4 2 2,702 9 8.1 3 40 1 .5 MUKAA 2 2,229 2 60 1 .2 2 1,508 9 6.8 4 61 2 .1 NZAUI 2 4,840 1 28 0 .5 2 4,250 9 7.6 4 62 1 .9 NYANDARUA 1 24,463 3 ,286 2 .6 1 14,747 9 2.2 6 ,430 5 .2 KINANGOP 2 1,230 6 25 2 .9 1 9,706 9 2.8 8 99 4 .2 NYANDARUA SOUTH 1 7,554 4 47 2 .5 1 6,246 9 2.5 8 61 4 .9 MIRANGINE 1 2,755 3 64 2 .9 1 1,618 9 1.1 7 73 6 .1 KIPIPIRI 2 0,282 3 86 1 .9 1 8,831 9 2.8 1 ,065 5 .3 NYANDARUA CENTRAL 1 2,843 3 45 2 .7 1 1,749 9 1.5 7 49 5 .8 NYANDARUA WEST 1 8,510 5 44 2 .9 1 6,913 9 1.4 1 ,053 5 .7 NYANDARUA NORTH 2 1,289 5 75 2 .7 1 9,684 9 2.5 1 ,030 4 .8 ABERDARE NATIONAL PARK - - - - - - - NYERI 1 63,617 1 ,953 1 .2 1 52,075 9 2.9 9 ,589 5 .9 TETU 2 1,134 1 20 0 .6 1 9,485 9 2.2 1 ,529 7 .2 KIENI EAST 1 9,749 4 53 2 .3 1 8,190 9 2.1 1 ,106 5 .6 KIENI WEST 1 9,249 4 34 2 .3 1 7,590 9 1.4 1 ,225 6 .4 MATHIRA EAST 2 1,506 1 49 0 .7 2 0,327 9 4.5 1 ,030 4 .8 MATHIRA WEST 1 6,647 6 6 0 .4 1 5,742 9 4.6 8 39 5 .0 NYERI SOUTH 2 2,149 1 46 0 .7 2 0,815 9 4.0 1 ,188 5 .4 MUKURWE-INI 2 4,284 1 17 0 .5 2 3,251 9 5.7 9 16 3 .8 NYERI CENTRAL 1 8,872 4 68 2 .5 1 6,648 8 8.2 1 ,756 9 .3 MT. KENYA FOREST 2 7 - - 2 7 1 00.0 - - ABERDARE FOREST - - - - - - - KIRINYAGA 1 42,225 1 ,780 1 .3 1 35,258 9 5.1 5 ,187 3 .6 KIRINYAGA CENTRAL 2 9,577 1 77 0 .6 2 8,435 9 6.1 9 65 3 .3 KIRINYAGA EAST 3 6,758 2 84 0 .8 3 5,141 9 5.6 1 ,333 3 .6 KIRINYAGA WEST 2 7,121 1 93 0 .7 2 6,109 9 6.3 8 19 3 .0 MWEA EAST 2 4,871 5 46 2 .2 2 3,374 9 4.0 9 51 3 .8 MWEA WEST 2 3,898 5 80 2 .4 2 2,199 9 2.9 1 ,119 4 .7 MT. KENYA FOREST - - - - - - - MURANG’A 2 42,262 2 ,139 0 .9 2 30,861 9 5.3 9 ,262 3 .8 MURANG’A EAST 2 2,256 2 18 1 .0 2 1,411 9 6.2 6 27 2 .8 KANGEMA 2 1,231 7 6 0 .4 2 0,261 9 5.4 8 94 4 .2 MATHIOYA 2 4,509 1 44 0 .6 2 3,168 9 4.5 1 ,197 4 .9 KAHURO 2 4,170 9 3 0 .4 2 3,194 9 6.0 8 83 3 .7 MURANG’A SOUTH 3 8,345 7 81 2 .0 3 6,282 9 4.6 1 ,282 3 .3 GATANGA 3 8,246 4 85 1 .3 3 5,981 9 4.1 1 ,780 4 .7 KIGUMO 3 2,237 1 50 0 .5 3 1,046 9 6.3 1 ,041 3 .2 KANDARA 4 1,268 1 92 0 .5 3 9,518 9 5.8 1 ,558 3 .8 ABERDARE FOREST - - - - - - - KIAMBU 2 94,040 7 ,808 2 .7 2 62,332 8 9.2 2 3,900 8 .1 GATUNDU NORTH 2 4,970 1 61 0 .6 2 3,609 9 4.5 1 ,200 4 .8 GATUNDU SOUTH 2 8,120 2 04 0 .7 2 6,219 9 3.2 1 ,697 6 .0 GITHUNGURI 3 5,436 2 88 0 .8 3 2,730 9 2.4 2 ,418 6 .8 254

Page 268

Table 2.11a: Distribution of Households Owning the Main Dwelling Unit by Mode of Acquisition, Area of Residence, County and Sub-County Mode of Acquisition County/ Sub-County Owned Purchased Constructed Inherited Number per cent Number per cent Number per cent JUJA 3 0,347 1 ,137 3 .7 2 7,853 9 1.8 1 ,357 4 .5 KABETE 2 3,937 4 53 1 .9 2 0,784 8 6.8 2 ,700 1 1.3 KIAMBAA 2 4,745 6 80 2 .7 2 1,287 8 6.0 2 ,778 1 1.2 KIAMBU 1 5,786 9 21 5 .8 1 3,229 8 3.8 1 ,636 1 0.4 KIKUYU 2 4,005 5 52 2 .3 2 1,332 8 8.9 2 ,121 8 .8 LARI 2 5,647 3 68 1 .4 2 3,117 9 0.1 2 ,162 8 .4 LIMURU 2 2,447 6 22 2 .8 1 9,222 8 5.6 2 ,603 1 1.6 RUIRU 2 0,435 1 ,204 5 .9 1 7,344 8 4.9 1 ,887 9 .2 THIKA EAST 5 ,987 1 27 2 .1 5 ,592 9 3.4 2 68 4 .5 THIKA WEST 1 2,178 1 ,091 9 .0 1 0,014 8 2.2 1 ,073 8 .8 TURKANA 1 37,157 6 ,240 4 .5 1 26,890 9 2.5 4 ,027 2 .9 KIBISH 5 ,651 4 99 8 .8 5 ,145 9 1.0 7 0 .1 LOIMA 1 8,864 7 15 3 .8 1 7,379 9 2.1 7 70 4 .1 TURKANA CENTRAL 2 8,484 8 22 2 .9 2 6,844 9 4.2 8 18 2 .9 TURKANA EAST 1 7,396 8 49 4 .9 1 6,091 9 2.5 4 56 2 .6 TURKANA NORTH 1 2,482 4 83 3 .9 1 1,681 9 3.6 3 18 2 .5 TURKANA SOUTH 2 0,968 9 35 4 .5 1 9,324 9 2.2 7 09 3 .4 TURKANA WEST 3 3,312 1 ,937 5 .8 3 0,426 9 1.3 9 49 2 .8 WEST POKOT 1 01,538 3 ,214 3 .2 9 5,025 9 3.6 3 ,299 3 .2 KIPKOMO 1 5,894 6 70 4 .2 1 4,271 8 9.8 9 53 6 .0 POKOT CENTRAL 2 0,732 4 24 2 .0 1 9,727 9 5.2 5 81 2 .8 POKOT NORTH 2 4,640 9 29 3 .8 2 3,149 9 3.9 5 62 2 .3 POKOT SOUTH 1 2,693 3 15 2 .5 1 2,128 9 5.5 2 50 2 .0 WEST POKOT 2 7,579 8 76 3 .2 2 5,750 9 3.4 9 53 3 .5 SAMBURU 5 4,402 7 28 1 .3 5 2,897 9 7.2 7 77 1 .4 SAMBURU CENTRAL 2 7,041 3 55 1 .3 2 6,197 9 6.9 4 89 1 .8 SAMBURU EAST 1 5,358 1 31 0 .9 1 5,036 9 7.9 1 91 1 .2 SAMBURU NORTH 1 2,003 2 42 2 .0 1 1,664 9 7.2 9 7 0 .8 TRANS NZOIA 1 50,986 5 ,345 3 .5 1 41,326 9 3.6 4 ,315 2 .9 TRANS NZOIA WEST 2 4,745 8 10 3 .3 2 3,163 9 3.6 7 72 3 .1 TRANS NZOIA EAST 3 8,841 1 ,214 3 .1 3 6,532 9 4.1 1 ,095 2 .8 KWANZA 3 2,892 8 80 2 .7 3 1,224 9 4.9 7 88 2 .4 ENDEBESS 1 7,323 1 ,138 6 .6 1 5,612 9 0.1 5 73 3 .3 KIMININI 3 7,185 1 ,303 3 .5 3 4,795 9 3.6 1 ,087 2 .9 UASIN GISHU 1 53,094 5 ,921 3 .9 1 41,914 9 2.7 5 ,259 3 .4 AINABKOI 1 8,637 6 94 3 .7 1 7,345 9 3.1 5 98 3 .2 KAPSERET 1 8,690 1 ,350 7 .2 1 6,280 8 7.1 1 ,060 5 .7 KESSES 2 4,512 5 84 2 .4 2 3,285 9 5.0 6 43 2 .6 MOIBEN 2 4,383 6 93 2 .8 2 2,960 9 4.2 7 30 3 .0 SOY 3 5,993 9 70 2 .7 3 4,142 9 4.9 8 81 2 .4 TURBO 3 0,879 1 ,630 5 .3 2 7,902 9 0.4 1 ,347 4 .4 ELGEYO/MARAKWET 8 1,228 1 ,091 1 .3 7 7,951 9 6.0 2 ,186 2 .7 KEIYO NORTH 1 6,597 1 57 0 .9 1 6,076 9 6.9 3 64 2 .2 KEIYO SOUTH 2 2,984 1 69 0 .7 2 2,452 9 7.7 3 63 1 .6 MARAKWET EAST 1 8,654 2 64 1 .4 1 7,731 9 5.1 6 59 3 .5 MARAKWET WEST 2 2,993 5 01 2 .2 2 1,692 9 4.3 8 00 3 .5 NANDI 1 56,477 2 ,399 1 .5 1 50,672 9 6.3 3 ,406 2 .2 CHESUMEI 2 8,645 5 29 1 .8 2 7,369 9 5.5 7 47 2 .6 NANDI CENTRAL 2 5,900 3 55 1 .4 2 4,972 9 6.4 5 73 2 .2 NANDI EAST 1 6,813 3 38 2 .0 1 6,147 9 6.0 3 28 2 .0 NANDI NORTH 3 2,065 6 38 2 .0 3 0,588 9 5.4 8 39 2 .6 NANDI SOUTH 3 2,931 2 62 0 .8 3 2,102 9 7.5 5 67 1 .7 TINDERET 2 0,123 2 77 1 .4 1 9,494 9 6.9 3 52 1 .7 BARINGO 1 13,578 1 ,785 1 .6 1 09,535 9 6.4 2 ,258 2 .0 BARINGO CENTRAL 1 7,167 1 83 1 .1 1 6,709 9 7.3 2 75 1 .6 BARINGO NORTH 2 1,193 2 49 1 .2 2 0,623 9 7.3 3 21 1 .5 EAST POKOT 1 3,750 2 65 1 .9 1 3,284 9 6.6 2 01 1 .5 KOIBATEK 2 0,125 6 18 3 .1 1 8,797 9 3.4 7 10 3 .5 MARIGAT 1 5,064 2 04 1 .4 1 4,569 9 6.7 2 91 1 .9 MOGOTIO 1 4,836 1 41 1 .0 1 4,391 9 7.0 3 04 2 .0 TIATY EAST 1 1,443 1 25 1 .1 1 1,162 9 7.5 1 56 1 .4 255

Page 269

Table 2.11a: Distribution of Households Owning the Main Dwelling Unit by Mode of Acquisition, Area of Residence, County and Sub-County Mode of Acquisition County/ Sub-County Owned Purchased Constructed Inherited Number per cent Number per cent Number per cent LAIKIPIA 8 8,923 3 ,044 3 .4 8 2,469 9 2.7 3 ,410 3 .8 LAIKIPIA CENTRAL 1 8,707 5 13 2 .7 1 7,642 9 4.3 5 52 3 .0 LAIKIPIA EAST 1 4,013 7 12 5 .1 1 2,409 8 8.6 8 92 6 .4 LAIKIPIA NORTH 6 ,600 5 8 0 .9 6 ,490 9 8.3 5 2 0 .8 LAIKIPIA WEST 2 4,232 7 90 3 .3 2 2,749 9 3.9 6 93 2 .9 NYAHURURU 2 5,371 9 71 3 .8 2 3,179 9 1.4 1 ,221 4 .8 NAKURU 2 75,360 1 2,719 4 .6 2 48,063 9 0.1 1 4,578 5 .3 GILGIL 2 6,371 1 ,267 4 .8 2 3,676 8 9.8 1 ,428 5 .4 KURESOI NORTH 3 1,366 1 ,298 4 .1 2 8,954 9 2.3 1 ,114 3 .6 KURESOI SOUTH 2 7,764 4 48 1 .6 2 6,930 9 7.0 3 86 1 .4 MOLO 2 3,440 1 ,310 5 .6 2 0,717 8 8.4 1 ,413 6 .0 NAIVASHA 3 3,504 1 ,822 5 .4 2 9,768 8 8.8 1 ,914 5 .7 NAKURU EAST 9 ,659 1 ,006 1 0.4 7 ,647 7 9.2 1 ,006 1 0.4 NAKURU NORTH 2 9,591 1 ,408 4 .8 2 5,914 8 7.6 2 ,269 7 .7 NAKURU WEST 9 ,867 1 ,019 1 0.3 7 ,975 8 0.8 8 73 8 .8 NJORO 3 8,198 1 ,859 4 .9 3 4,004 8 9.0 2 ,335 6 .1 RONGAI 2 9,297 8 47 2 .9 2 7,393 9 3.5 1 ,057 3 .6 SUBUKIA 1 6,303 4 35 2 .7 1 5,085 9 2.5 7 83 4 .8 NAROK 1 83,078 2 ,595 1 .4 1 76,945 9 6.7 3 ,538 1 .9 NAROK EAST 1 8,264 1 64 0 .9 1 7,399 9 5.3 7 01 3 .8 NAROK NORTH 3 2,796 5 88 1 .8 3 1,098 9 4.8 1 ,110 3 .4 NAROK SOUTH 4 1,116 9 14 2 .2 3 9,709 9 6.6 4 93 1 .2 NAROK WEST 3 4,125 2 89 0 .8 3 3,524 9 8.2 3 12 0 .9 TRANS MARA EAST 1 9,832 1 78 0 .9 1 9,381 9 7.7 2 73 1 .4 TRANS MARA WEST 3 6,945 4 62 1 .3 3 5,834 9 7.0 6 49 1 .8 MAU FOREST - - - - - - - KAJIADO 1 27,223 5 ,647 4 .4 1 17,445 9 2.3 4 ,131 3 .2 ISINYA 1 2,686 1 ,221 9 .6 1 1,000 8 6.7 4 65 3 .7 KAJIADO CENTRAL 2 3,991 4 68 2 .0 2 3,196 9 6.7 3 27 1 .4 KAJIADO NORTH 1 9,017 2 ,366 1 2.4 1 4,928 7 8.5 1 ,723 9 .1 KAJIADO WEST 2 9,966 8 57 2 .9 2 8,542 9 5.2 5 67 1 .9 LOITOKITOK 3 2,205 5 51 1 .7 3 0,793 9 5.6 8 61 2 .7 MASHUURU 9 ,358 1 84 2 .0 8 ,986 9 6.0 1 88 2 .0 KERICHO 1 52,990 1 ,679 1 .1 1 47,339 9 6.3 3 ,972 2 .6 BELGUT 2 4,452 1 33 0 .5 2 3,763 9 7.2 5 56 2 .3 BURETI 3 5,020 3 03 0 .9 3 3,545 9 5.8 1 ,172 3 .3 KERICHO EAST 2 3,449 2 97 1 .3 2 2,541 9 6.1 6 11 2 .6 KIPKELION 2 2,539 2 08 0 .9 2 1,906 9 7.2 4 25 1 .9 LONDIANI 2 3,558 5 75 2 .4 2 2,166 9 4.1 8 17 3 .5 SOIN SIGOWET 2 3,972 1 63 0 .7 2 3,418 9 7.7 3 91 1 .6 BOMET 1 55,576 1 ,513 1 .0 1 51,263 9 7.2 2 ,800 1 .8 BOMET EAST 2 7,472 2 01 0 .7 2 6,858 9 7.8 4 13 1 .5 CHEPALUNGU 3 2,715 1 60 0 .5 3 2,164 9 8.3 3 91 1 .2 KONOIN 2 4,381 2 28 0 .9 2 3,598 9 6.8 5 55 2 .3 SOTIK 4 1,107 5 94 1 .4 3 9,760 9 6.7 7 53 1 .8 BOMET CENTRAL 2 9,901 3 30 1 .1 2 8,883 9 6.6 6 88 2 .3 KAKAMEGA 3 69,381 3 ,294 0 .9 3 59,905 9 7.4 6 ,182 1 .7 BUTERE 3 3,817 1 14 0 .3 3 3,428 9 8.8 2 75 0 .8 KAKAMEGA CENTRAL 2 8,145 5 67 2 .0 2 6,562 9 4.4 1 ,016 3 .6 KAKAMEGA EAST 3 5,942 1 42 0 .4 3 5,097 9 7.6 7 03 2 .0 KAKAMEGA NORTH 4 5,870 3 20 0 .7 4 4,740 9 7.5 8 10 1 .8 KAKAMEGA SOUTH 2 5,580 9 9 0 .4 2 4,958 9 7.6 5 23 2 .0 KHWISERO 2 6,168 7 6 0 .3 2 5,453 9 7.3 6 39 2 .4 LIKUYANI 2 7,929 7 74 2 .8 2 6,576 9 5.2 5 79 2 .1 LUGARI 2 3,853 4 35 1 .8 2 3,053 9 6.6 3 65 1 .5 MATETE 1 2,736 1 16 0 .9 1 2,483 9 8.0 1 37 1 .1 MATUNGU 3 3,837 2 72 0 .8 3 3,044 9 7.7 5 21 1 .5 MUMIAS EAST 2 3,768 1 42 0 .6 2 3,497 9 8.9 1 29 0 .5 MUMIAS WEST 2 0,683 1 31 0 .6 2 0,209 9 7.7 3 43 1 .7 NAVAKHOLO 3 1,053 1 06 0 .3 3 0,805 9 9.2 1 42 0 .5 256

Page 270

Table 2.11a: Distribution of Households Owning the Main Dwelling Unit by Mode of Acquisition, Area of Residence, County and Sub-County Mode of Acquisition County/ Sub-County Owned Purchased Constructed Inherited Number per cent Number per cent Number per cent VIHIGA 1 26,261 5 92 0 .5 1 21,971 9 6.6 3 ,698 2 .9 EMUHAYA 2 2,471 7 4 0 .3 2 1,822 9 7.1 5 75 2 .6 VIHIGA 1 9,729 1 95 1 .0 1 8,922 9 5.9 6 12 3 .1 SABATIA 2 6,951 9 5 0 .4 2 5,976 9 6.4 8 80 3 .3 LUANDA 2 3,635 5 4 0 .2 2 3,032 9 7.4 5 49 2 .3 HAMISI 3 3,475 1 74 0 .5 3 2,219 9 6.2 1 ,082 3 .2 KAKAMEGA FOREST - - - - - - - BUNGOMA 2 93,353 4 ,487 1 .5 2 83,806 9 6.7 5 ,060 1 .7 BUMULA 4 2,150 4 05 1 .0 4 1,341 9 8.1 4 04 1 .0 BUNGOMA CENTRAL 3 2,160 2 52 0 .8 3 1,468 9 7.8 4 40 1 .4 BUNGOMA EAST 2 0,258 2 06 1 .0 1 9,736 9 7.4 3 16 1 .6 BUNGOMA NORTH 2 2,030 4 93 2 .2 2 1,150 9 6.0 3 87 1 .8 BUNGOMA SOUTH 4 3,753 7 40 1 .7 4 1,908 9 5.8 1 ,105 2 .5 CHEPTAIS 2 2,950 3 84 1 .7 2 1,982 9 5.8 5 84 2 .5 KIMILILI 2 8,006 6 68 2 .4 2 6,635 9 5.1 7 03 2 .5 MT ELGON 1 3,082 2 28 1 .7 1 2,704 9 7.1 1 50 1 .1 BUNGOMA WEST 2 2,830 2 79 1 .2 2 2,187 9 7.2 3 64 1 .6 TONGAREN 1 8,731 3 84 2 .1 1 8,055 9 6.4 2 92 1 .6 WEBUYE WEST 2 6,611 4 41 1 .7 2 5,862 9 7.2 3 08 1 .2 MT. ELGON FOREST 7 92 7 0 .9 7 78 9 8.2 7 0 .9 BUSIA 1 61,775 1 ,242 0 .8 1 58,457 9 7.9 2 ,076 1 .3 BUNYALA 1 4,906 9 0 0 .6 1 4,500 9 7.3 3 16 2 .1 BUSIA 2 2,664 2 31 1 .0 2 2,141 9 7.7 2 92 1 .3 BUTULA 2 8,961 2 04 0 .7 2 8,361 9 7.9 3 96 1 .4 NAMBALE 2 1,067 1 52 0 .7 2 0,649 9 8.0 2 66 1 .3 SAMIA 2 1,552 6 4 0 .3 2 1,284 9 8.8 2 04 0 .9 TESO NORTH 2 3,404 1 93 0 .8 2 2,893 9 7.8 3 18 1 .4 TESO SOUTH 2 9,221 3 08 1 .1 2 8,629 9 8.0 2 84 1 .0 SIAYA 2 02,274 9 70 0 .5 1 98,538 9 8.2 2 ,766 1 .4 SIAYA 4 5,942 2 54 0 .6 4 4,831 9 7.6 8 57 1 .9 GEM 3 9,766 1 84 0 .5 3 9,140 9 8.4 4 42 1 .1 UGENYA 2 9,926 1 54 0 .5 2 9,413 9 8.3 3 59 1 .2 UGUNJA 2 2,008 8 1 0 .4 2 1,736 9 8.8 1 91 0 .9 BONDO 3 2,584 1 93 0 .6 3 1,905 9 7.9 4 86 1 .5 RARIEDA 3 2,048 1 04 0 .3 3 1,513 9 8.3 4 31 1 .3 KISUMU 1 76,699 2 ,913 1 .6 1 69,499 9 5.9 4 ,287 2 .4 KISUMU EAST 2 4,181 8 19 3 .4 2 2,397 9 2.6 9 65 4 .0 KISUMU CENTRAL 6 ,148 7 63 1 2.4 4 ,147 6 7.5 1 ,238 2 0.1 KISUMU WEST 2 8,458 3 56 1 .3 2 7,363 9 6.2 7 39 2 .6 SEME 2 6,793 8 4 0 .3 2 6,576 9 9.2 1 33 0 .5 MUHORONI 2 7,362 3 85 1 .4 2 6,407 9 6.5 5 70 2 .1 NYANDO 3 1,994 3 73 1 .2 3 1,245 9 7.7 3 76 1 .2 NYAKACH 3 1,763 1 33 0 .4 3 1,364 9 8.7 2 66 0 .8 HOMA BAY 2 11,772 1 ,663 0 .8 2 07,460 9 8.0 2 ,649 1 .3 HOMA BAY 1 7,013 2 09 1 .2 1 6,386 9 6.3 4 18 2 .5 NDHIWA 4 3,149 5 83 1 .4 4 2,258 9 7.9 3 08 0 .7 RACHUONYO NORTH 3 6,831 2 57 0 .7 3 6,010 9 7.8 5 64 1 .5 RACHUONYO EAST 2 4,870 1 57 0 .6 2 4,370 9 8.0 3 43 1 .4 RACHUONYO SOUTH 2 4,139 8 6 0 .4 2 3,809 9 8.6 2 44 1 .0 RANGWE 2 4,985 8 2 0 .3 2 4,550 9 8.3 3 53 1 .4 SUBA NORTH 2 0,095 1 66 0 .8 1 9,707 9 8.1 2 22 1 .1 SUBA SOUTH 2 0,690 1 23 0 .6 2 0,370 9 8.5 1 97 1 .0 MIGORI 1 88,705 1 ,849 1 .0 1 84,198 9 7.6 2 ,658 1 .4 AWENDO 2 0,311 1 82 0 .9 1 9,968 9 8.3 1 61 0 .8 KURIA EAST 1 6,329 1 61 1 .0 1 5,917 9 7.5 2 51 1 .5 KURIA WEST 3 0,772 3 61 1 .2 2 9,798 9 6.8 6 13 2 .0 NYATIKE 3 1,551 1 64 0 .5 3 1,034 9 8.4 3 53 1 .1 RONGO 2 1,997 1 22 0 .6 2 1,252 9 6.6 6 23 2 .8 SUNA EAST 2 0,309 9 9 0 .5 1 9,957 9 8.3 2 53 1 .2 SUNA WEST 2 0,638 4 81 2 .3 1 9,907 9 6.5 2 50 1 .2 URIRI 2 6,798 2 79 1 .0 2 6,365 9 8.4 1 54 0 .6 257

Page 271

Table 2.11a: Distribution of Households Owning the Main Dwelling Unit by Mode of Acquisition, Area of Residence, County and Sub-County Mode of Acquisition County/ Sub-County Owned Purchased Constructed Inherited Number per cent Number per cent Number per cent KISII 2 55,080 2 ,453 1 .0 2 46,901 9 6.8 5 ,726 2 .2 ETAGO 1 7,382 6 2 0 .4 1 7,139 9 8.6 1 81 1 .0 GUCHA 1 7,178 1 15 0 .7 1 6,866 9 8.2 1 97 1 .1 GUCHA SOUTH 1 7,769 8 2 0 .5 1 7,191 9 6.7 4 96 2 .8 KENYENYA 2 7,477 3 19 1 .2 2 6,584 9 6.8 5 74 2 .1 KISII CENTRAL 2 8,557 2 51 0 .9 2 7,557 9 6.5 7 49 2 .6 KISII SOUTH 2 8,140 3 15 1 .1 2 7,151 9 6.5 6 74 2 .4 KITUTU CENTRAL 2 4,986 2 40 1 .0 2 3,831 9 5.4 9 15 3 .7 MARANI 2 4,978 2 10 0 .8 2 4,149 9 6.7 6 19 2 .5 MASABA SOUTH 2 6,246 4 23 1 .6 2 5,332 9 6.5 4 91 1 .9 NYAMACHE 2 8,092 3 49 1 .2 2 7,105 9 6.5 6 38 2 .3 SAMETA 1 4,275 8 7 0 .6 1 3,996 9 8.0 1 92 1 .3 NYAMIRA 1 28,713 1 ,240 1 .0 1 24,770 9 6.9 2 ,703 2 .1 BORABU 1 1,035 1 88 1 .7 1 0,556 9 5.7 2 91 2 .6 MANGA 2 1,457 1 66 0 .8 2 0,800 9 6.9 4 91 2 .3 MASABA NORTH 2 4,817 3 26 1 .3 2 4,041 9 6.9 4 50 1 .8 NYAMIRA NORTH 3 7,045 2 76 0 .7 3 6,140 9 7.6 6 29 1 .7 NYAMIRA SOUTH 3 4,359 2 84 0 .8 3 3,233 9 6.7 8 42 2 .5 NAIROBI CITY 1 38,976 4 2,794 3 0.8 7 4,616 5 3.7 2 1,566 1 5.5 DAGORETTI 1 3,940 9 20 6 .6 9 ,218 6 6.1 3 ,802 2 7.3 EMBAKASI 1 7,809 8 ,023 4 5.1 7 ,529 4 2.3 2 ,257 1 2.7 KAMUKUNJI 3 ,757 1 ,425 3 7.9 1 ,044 2 7.8 1 ,288 3 4.3 KASARANI 2 2,367 3 ,254 1 4.5 1 5,339 6 8.6 3 ,774 1 6.9 KIBRA 6 ,120 2 ,757 4 5.0 1 ,650 2 7.0 1 ,713 2 8.0 LANG’ATA 1 2,299 7 ,596 6 1.8 3 ,686 3 0.0 1 ,017 8 .3 MAKADARA 4 ,499 2 ,257 5 0.2 1 ,200 2 6.7 1 ,042 2 3.2 MATHARE 2 ,138 3 97 1 8.6 8 44 3 9.5 8 97 4 2.0 NJIRU 3 5,066 3 ,089 8 .8 2 8,864 8 2.3 3 ,113 8 .9 STAREHE 3 ,928 2 ,528 6 4.4 7 30 1 8.6 6 70 1 7.1 WESTLANDS 1 7,053 1 0,548 6 1.9 4 ,512 2 6.5 1 ,993 1 1.7 258

Page 272

Table 2.11b: Distribution of Households Renting/Provided with the Main Dwelling Unit by Provider, Area of Residence, County and Sub-County Mode of Tenureship Rented/ FBO/NGO/ Church/ County/ Sub-County Provided Government County Government Parastatal Private company Individual Temple/Mosque Number per cent Number per cent Number per cent Number per cent Number per cent Number per cent KENYA 4 ,660,027 1 07,462 2 .3 6 4,836 1 .4 4 7,904 1 .0 2 78,613 6 .0 4 ,123,599 8 8.5 3 7,613 0 .8 Rural 9 90,602 2 6,423 2 .7 1 0,848 1 .1 1 2,645 1 .3 7 2,747 7 .3 8 46,343 8 5.4 2 1,596 2 .2 Urban 3 ,669,425 8 1,039 2 .2 5 3,988 1 .5 3 5,259 1 .0 2 05,866 5 .6 3 ,277,256 8 9.3 1 6,017 0 .4 MOMBASA 2 97,830 5 ,649 1 .9 6 ,056 2 .0 4 ,034 1 .4 1 6,131 5 .4 2 65,188 8 9.0 7 72 0 .3 CHANGAMWE 4 1,903 8 37 2 .0 9 95 2 .4 8 49 2 .0 2 ,301 5 .5 3 6,843 8 7.9 7 8 0 .2 JOMVU 3 9,185 1 27 0 .3 2 19 0 .6 3 02 0 .8 6 10 1 .6 3 7,883 9 6.7 4 4 0 .1 KISAUNI 6 2,711 6 62 1 .1 1 ,009 1 .6 4 79 0 .8 4 ,723 7 .5 5 5,756 8 8.9 8 2 0 .1 LIKONI 6 2,586 9 17 1 .5 1 ,908 3 .0 5 70 0 .9 9 88 1 .6 5 8,111 9 2.8 9 2 0 .1 MVITA 3 2,172 2 ,931 9 .1 1 ,374 4 .3 1 ,577 4 .9 3 ,028 9 .4 2 2,873 7 1.1 3 89 1 .2 NYALI 5 9,273 1 75 0 .3 5 51 0 .9 2 57 0 .4 4 ,481 7 .6 5 3,722 9 0.6 8 7 0 .1 KWALE 3 9,612 8 49 2 .1 4 89 1 .2 2 65 0 .7 1 ,578 4 .0 3 6,170 9 1.3 2 61 0 .7 KINANGO 1 ,359 6 2 4 .6 4 4 3 .2 1 0 0 .7 6 0 .4 1 ,213 8 9.3 2 4 1 .8 LUNGALUNGA 3 ,973 9 1 2 .3 2 8 0 .7 8 4 2 .1 7 0 1 .8 3 ,655 9 2.0 4 5 1 .1 MATUGA 6 ,374 4 03 6 .3 1 12 1 .8 8 9 1 .4 2 13 3 .3 5 ,483 8 6.0 7 4 1 .2 MSAMBWENI 2 2,098 1 72 0 .8 1 53 0 .7 6 2 0 .3 8 90 4 .0 2 0,756 9 3.9 6 5 0 .3 SAMBURU 5 ,808 1 21 2 .1 1 52 2 .6 2 0 0 .3 3 99 6 .9 5 ,063 8 7.2 5 3 0 .9 KILIFI 9 8,466 1 ,965 2 .0 1 ,015 1 .0 7 68 0 .8 5 ,410 5 .5 8 8,782 9 0.2 5 26 0 .5 CHONYI 3 18 1 8 5 .7 4 1 .3 1 0 .3 9 2 .8 2 80 8 8.1 6 1 .9 GANZE 1 ,538 5 9 3 .8 2 7 1 .8 9 0 .6 2 2 1 .4 1 ,398 9 0.9 2 3 1 .5 KALOLENI 8 ,693 7 81 9 .0 1 10 1 .3 4 1 0 .5 3 46 4 .0 7 ,377 8 4.9 3 8 0 .4 KAUMA 1 68 1 1 6 .5 4 2 .4 1 7 1 0.1 3 5 2 0.8 9 9 5 8.9 2 1 .2 KILIFI NORTH 1 6,361 4 01 2 .5 6 7 0 .4 7 4 0 .5 6 76 4 .1 1 5,090 9 2.2 5 3 0 .3 KILIFI SOUTH 2 9,620 9 7 0 .3 2 60 0 .9 1 85 0 .6 2 ,758 9 .3 2 6,238 8 8.6 8 2 0 .3 MAGARINI 4 ,314 9 2 2 .1 3 1 0 .7 1 4 0 .3 1 89 4 .4 3 ,875 8 9.8 1 13 2 .6 MALINDI 3 1,563 4 51 1 .4 4 57 1 .4 3 62 1 .1 1 ,213 3 .8 2 8,908 9 1.6 1 72 0 .5 RABAI 5 ,891 5 5 0 .9 5 5 0 .9 6 5 1 .1 1 62 2 .7 5 ,517 9 3.7 3 7 0 .6 TANA RIVER 1 4,383 6 91 4 .8 5 02 3 .5 4 07 2 .8 5 21 3 .6 1 2,057 8 3.8 2 05 1 .4 TANA DELTA 2 ,744 1 62 5 .9 8 1 3 .0 3 9 1 .4 1 9 0 .7 2 ,325 8 4.7 1 18 4 .3 TANA NORTH 7 ,865 1 92 2 .4 3 29 4 .2 3 29 4 .2 4 20 5 .3 6 ,559 8 3.4 3 6 0 .5 TANA RIVER 3 ,774 3 37 8 .9 9 2 2 .4 3 9 1 .0 8 2 2 .2 3 ,173 8 4.1 5 1 1 .4 LAMU 1 0,981 5 36 4 .9 6 3 0 .6 2 4 0 .2 2 60 2 .4 9 ,929 9 0.4 1 69 1 .5 LAMU EAST 1 ,187 8 3 7 .0 9 0 .8 5 0 .4 3 0 .3 1 ,080 9 1.0 7 0 .6 LAMU WEST 9 ,794 4 53 4 .6 5 4 0 .6 1 9 0 .2 2 57 2 .6 8 ,849 9 0.4 1 62 1 .7 TAITA/TAVETA 3 1,754 1 ,341 4 .2 1 52 0 .5 6 87 2 .2 2 ,094 6 .6 2 7,085 8 5.3 3 95 1 .2 MWATATE 6 ,248 8 4 1 .3 1 6 0 .3 3 3 0 .5 1 ,285 2 0.6 4 ,701 7 5.2 1 29 2 .1 TAITA 2 ,517 3 66 1 4.5 3 7 1 .5 1 1 0 .4 5 8 2 .3 1 ,962 7 7.9 8 3 3 .3 TAVETA 8 ,053 5 13 6 .4 6 7 0 .8 1 24 1 .5 4 55 5 .7 6 ,832 8 4.8 6 2 0 .8 VOI 1 4,936 3 78 2 .5 3 2 0 .2 5 19 3 .5 2 96 2 .0 1 3,590 9 1.0 1 21 0 .8 GARISSA 1 7,450 1 ,090 6 .2 9 47 5 .4 4 32 2 .5 8 66 5 .0 1 3,028 7 4.7 1 ,087 6 .2 BALAMBALA 7 1 3 3 4 6.5 7 9 .9 - - 6 8 .5 2 4 3 3.8 1 1 .4 DADAAB 2 ,048 1 92 9 .4 1 23 6 .0 4 3 2 .1 8 7 4 .2 7 71 3 7.6 8 32 4 0.6 FAFI 1 ,047 1 11 1 0.6 5 8 5 .5 6 6 6 .3 6 8 6 .5 5 51 5 2.6 1 93 1 8.4 GARISSA 1 1,892 6 21 5 .2 5 76 4 .8 2 57 2 .2 6 21 5 .2 9 ,782 8 2.3 3 5 0 .3 HULUGHO 3 18 5 1 .6 1 4 4 .4 1 6 5 .0 1 2 3 .8 2 62 8 2.4 9 2 .8 IJARA 1 ,714 3 2 1 .9 1 53 8 .9 4 4 2 .6 6 2 3 .6 1 ,411 8 2.3 1 2 0 .7 LAGDERA 3 60 9 6 2 6.7 1 6 4 .4 6 1 .7 1 0 2 .8 2 27 6 3.1 5 1 .4 WAJIR 6 ,503 6 68 1 0.3 4 06 6 .2 1 02 1 .6 4 13 6 .4 4 ,867 7 4.8 4 7 0 .7 BUNA 1 53 1 1 7 .2 1 4 9 .2 4 2 .6 1 0 6 .5 1 11 7 2.5 3 2 .0 ELDAS 1 51 1 1 7 .3 9 6 .0 7 4 .6 3 9 2 5.8 8 2 5 4.3 3 2 .0 HABASWEIN 1 ,293 8 3 6 .4 4 6 3 .6 3 8 2 .9 9 9 7 .7 1 ,014 7 8.4 1 3 1 .0 TARBAJ 1 02 2 1 2 0.6 3 2 .9 4 3 .9 9 8 .8 6 4 6 2.7 1 1 .0 WAJIR EAST 3 ,285 3 62 1 1.0 2 43 7 .4 3 7 1 .1 2 12 6 .5 2 ,413 7 3.5 1 8 0 .5 WAJIR NORTH 6 23 9 4 1 5.1 3 1 5 .0 1 0 .2 8 1 .3 4 82 7 7.4 7 1 .1 WAJIR SOUTH 3 51 2 4 6 .8 4 7 1 3.4 8 2 .3 1 3 3 .7 2 57 7 3.2 2 0 .6 WAJIR WEST 5 45 6 2 1 1.4 1 3 2 .4 3 0 .6 2 3 4 .2 4 44 8 1.5 - - MANDERA 9 ,410 3 87 4 .1 4 34 4 .6 2 61 2 .8 4 61 4 .9 7 ,774 8 2.6 9 3 1 .0 MANDERA WEST 7 18 6 0 .8 1 4 1 .9 1 9 2 .6 4 0 5 .6 6 22 8 6.6 1 7 2 .4 BANISA 3 86 9 2 .3 3 6 9 .3 7 1 .8 1 9 4 .9 3 12 8 0.8 3 0 .8 KOTULO 3 25 1 5 4 .6 3 6 1 1.1 1 5 4 .6 2 8 8 .6 2 30 7 0.8 1 0 .3 LAFEY 3 14 1 2 3 .8 1 1 3 .5 8 2 .5 6 1 .9 2 20 7 0.1 5 7 1 8.2 MANDERA CENTRAL 1 ,451 1 3 0 .9 5 9 4 .1 1 6 1 .1 1 24 8 .5 1 ,233 8 5.0 6 0 .4 MANDERA EAST 5 ,524 2 04 3 .7 2 48 4 .5 1 92 3 .5 2 34 4 .2 4 ,642 8 4.0 4 0 .1 MANDERA NORTH 6 92 1 28 1 8.5 3 0 4 .3 4 0 .6 1 0 1 .4 5 15 7 4.4 5 0 .7 259

Page 273

Table 2.11b: Distribution of Households Renting/Provided with the Main Dwelling Unit by Provider, Area of Residence, County and Sub-County Mode of Tenureship Rented/ FBO/NGO/ Church/ County/ Sub-County Provided Government County Government Parastatal Private company Individual Temple/Mosque Number per cent Number per cent Number per cent Number per cent Number per cent Number per cent MARSABIT 1 0,561 5 72 5 .4 1 69 1 .6 9 0 0 .9 2 56 2 .4 9 ,329 8 8.3 1 45 1 .4 LOIYANGALANI 2 70 4 2 1 5.6 5 7 2 1.1 - - 9 3 .3 1 51 5 5.9 1 1 4 .1 MARSABIT CENTRAL 4 ,776 1 57 3 .3 3 2 0 .7 1 8 0 .4 1 36 2 .8 4 ,392 9 2.0 4 1 0 .9 MARSABIT NORTH 1 30 1 7 1 3.1 4 3 .1 - - 5 3 .8 8 9 6 8.5 1 5 1 1.5 MARSABIT SOUTH 4 09 6 9 1 6.9 2 9 7 .1 3 0 .7 1 7 4 .2 2 44 5 9.7 4 7 1 1.5 MOYALE 4 ,194 2 60 6 .2 3 9 0 .9 4 9 1 .2 7 4 1 .8 3 ,753 8 9.5 1 9 0 .5 NORTH HORR 1 14 2 4 2 1.1 1 0 .9 1 8 1 5.8 - - 6 7 5 8.8 4 3 .5 SOLOLO 6 68 3 0 .4 7 1 .0 2 0 .3 1 5 2 .2 6 33 9 4.8 8 1 .2 ISIOLO 1 4,918 7 94 5 .3 1 98 1 .3 1 15 0 .8 3 44 2 .3 1 3,317 8 9.3 1 50 1 .0 GARBATULLA 1 ,592 1 18 7 .4 6 8 4 .3 4 0 .3 1 3 0 .8 1 ,366 8 5.8 2 3 1 .4 ISIOLO 1 2,934 6 24 4 .8 1 27 1 .0 1 11 0 .9 3 28 2 .5 1 1,620 8 9.8 1 24 1 .0 MERTI 3 92 5 2 1 3.3 3 0 .8 - - 3 0 .8 3 31 8 4.4 3 0 .8 MERU 1 09,916 1 ,698 1 .5 8 47 0 .8 5 97 0 .5 2 ,596 2 .4 1 03,275 9 4.0 9 03 0 .8 BUURI EAST 5 ,986 6 4 1 .1 6 5 1 .1 8 0 .1 1 28 2 .1 5 ,667 9 4.7 5 4 0 .9 BUURI WEST 1 4,685 1 12 0 .8 9 3 0 .6 2 0 0 .1 9 81 6 .7 1 3,382 9 1.1 9 7 0 .7 IGEMBE CENTRAL 9 ,624 8 5 0 .9 1 8 0 .2 1 4 0 .1 1 06 1 .1 9 ,337 9 7.0 6 4 0 .7 IGEMBE NORTH 7 ,158 9 1 1 .3 9 6 1 .3 5 2 0 .7 1 02 1 .4 6 ,769 9 4.6 4 8 0 .7 IGEMBE SOUTH 1 3,507 1 43 1 .1 1 21 0 .9 2 21 1 .6 3 16 2 .3 1 2,633 9 3.5 7 3 0 .5 IMENTI NORTH 2 7,198 5 62 2 .1 1 87 0 .7 3 4 0 .1 3 65 1 .3 2 5,844 9 5.0 2 06 0 .8 IMENTI SOUTH 1 7,221 2 53 1 .5 1 74 1 .0 5 7 0 .3 2 95 1 .7 1 6,254 9 4.4 1 88 1 .1 MERU CENTRAL 6 ,436 1 18 1 .8 1 9 0 .3 3 1 0 .5 1 26 2 .0 6 ,088 9 4.6 5 4 0 .8 TIGANIA CENTRAL 2 ,767 6 0 2 .2 2 4 0 .9 7 1 2 .6 8 6 3 .1 2 ,515 9 0.9 1 1 0 .4 TIGANIA EAST 1 ,900 7 5 3 .9 8 0 .4 1 4 0 .7 2 6 1 .4 1 ,689 8 8.9 8 8 4 .6 TIGANIA WEST 3 ,310 1 08 3 .3 4 1 1 .2 1 9 0 .6 6 4 1 .9 3 ,058 9 2.4 2 0 0 .6 MERU NATIONAL PARK 4 6 1 8 3 9.1 - - 2 8 6 0.9 - - - - - - MT. KENYA FOREST 7 8 9 1 1.5 1 1 .3 2 8 3 5.9 1 1 .3 3 9 5 0.0 - - THARAKA-NITHI 1 9,062 4 79 2 .5 9 1 0 .5 1 48 0 .8 2 82 1 .5 1 7,694 9 2.8 3 68 1 .9 IGAMBANG’OMBE 1 ,826 5 3 2 .9 1 0 0 .5 4 0 .2 1 5 0 .8 1 ,722 9 4.3 2 2 1 .2 MAARA 5 ,845 1 02 1 .7 2 5 0 .4 2 7 0 .5 1 90 3 .3 5 ,324 9 1.1 1 77 3 .0 MERU SOUTH 7 ,943 1 20 1 .5 4 0 0 .5 6 7 0 .8 4 1 0 .5 7 ,607 9 5.8 6 8 0 .9 THARAKA NORTH 1 ,088 7 8 7 .2 5 0 .5 9 0 .8 1 2 1 .1 9 73 8 9.4 1 1 1 .0 THARAKA SOUTH 2 ,289 9 1 4 .0 8 0 .3 8 0 .3 2 4 1 .0 2 ,068 9 0.3 9 0 3 .9 MT. KENYA FOREST 7 1 3 5 4 9.3 3 4 .2 3 3 4 6.5 - - - - - - EMBU 4 9,298 1 ,812 3 .7 1 36 0 .3 3 44 0 .7 1 ,268 2 .6 4 5,359 9 2.0 3 79 0 .8 EMBU EAST 6 ,742 2 03 3 .0 2 6 0 .4 2 7 0 .4 1 59 2 .4 6 ,257 9 2.8 7 0 1 .0 EMBU NORTH 4 ,188 1 38 3 .3 7 0 .2 1 1 0 .3 4 2 1 .0 3 ,949 9 4.3 4 1 1 .0 EMBU WEST 2 3,280 1 ,100 4 .7 6 1 0 .3 1 55 0 .7 3 89 1 .7 2 1,423 9 2.0 1 52 0 .7 MBEERE SOUTH 9 ,630 2 14 2 .2 1 6 0 .2 3 5 0 .4 5 60 5 .8 8 ,731 9 0.7 7 4 0 .8 MBEERE NORTH 5 ,444 1 56 2 .9 2 6 0 .5 1 03 1 .9 1 18 2 .2 4 ,999 9 1.8 4 2 0 .8 MT. KENYA FOREST 1 4 1 7 .1 - - 1 3 9 2.9 - - - - - - KITUI 3 7,132 1 ,344 3 .6 2 29 0 .6 2 00 0 .5 1 ,212 3 .3 3 3,738 9 0.9 4 09 1 .1 IKUTHA 1 ,463 3 1 2 .1 5 0 .3 6 0 .4 1 29 8 .8 1 ,271 8 6.9 2 1 1 .4 KATULANI 1 ,050 4 3 4 .1 2 5 2 .4 6 0 .6 2 4 2 .3 9 32 8 8.8 2 0 1 .9 KISASI 1 ,045 3 4 3 .3 3 0 .3 1 0 .1 1 30 1 2.4 8 66 8 2.9 1 1 1 .1 KITUI CENTRAL 1 1,150 4 86 4 .4 5 5 0 .5 3 4 0 .3 4 32 3 .9 1 0,103 9 0.6 4 0 0 .4 KITUI WEST 1 ,726 2 4 1 .4 7 0 .4 3 0 1 .7 3 8 2 .2 1 ,617 9 3.7 1 0 0 .6 KYUSO 1 ,443 8 2 5 .7 5 0 .3 2 0 .1 1 39 9 .6 1 ,198 8 3.0 1 7 1 .2 LOWER YATTA 2 ,040 2 7 1 .3 3 0 .1 1 00 4 .9 2 2 1 .1 1 ,759 8 6.2 1 29 6 .3 MATINYANI 5 24 3 6 6 .9 1 0 .2 1 0 .2 6 1 .1 4 77 9 1.0 3 0 .6 MIGWANI 1 ,169 4 8 4 .1 7 0 .6 2 0 .2 1 3 1 .1 1 ,071 9 1.6 2 8 2 .4 MUMONI 4 11 4 1 .0 2 0 .5 - - 1 6 3 .9 3 88 9 4.4 1 0 .2 MUTITU 8 94 3 5 3 .9 2 0 .2 3 0 .3 6 0 .7 8 40 9 4.0 8 0 .9 MUTITU NORTH 4 91 2 7 5 .5 - - 2 0 .4 5 1 .0 4 52 9 2.1 5 1 .0 MUTOMO 2 ,346 1 16 4 .9 4 7 2 .0 4 0 .2 2 1 0 .9 2 ,107 8 9.8 5 1 2 .2 MWINGI CENTRAL 7 ,437 1 85 2 .5 4 8 0 .6 7 0 .1 1 73 2 .3 6 ,993 9 4.0 3 1 0 .4 MWINGI EAST 1 ,531 6 5 4 .2 1 8 1 .2 1 0 .1 3 8 2 .5 1 ,394 9 1.1 1 5 1 .0 NZAMBANI 1 ,498 4 4 2 .9 - - - - 1 3 0 .9 1 ,427 9 5.3 1 4 0 .9 THAGICU 1 02 1 1 .0 - - - - - - 1 00 9 8.0 1 1 .0 TSEIKURU 8 12 5 6 6 .9 1 0 .1 1 0 .1 7 0 .9 7 43 9 1.5 4 0 .5 MACHAKOS 1 41,539 1 ,900 1 .3 1 ,329 0 .9 1 ,762 1 .2 8 ,930 6 .3 1 26,718 8 9.5 9 00 0 .6 ATHI RIVER 8 5,645 4 44 0 .5 8 18 1 .0 9 88 1 .2 7 ,297 8 .5 7 5,865 8 8.6 2 33 0 .3 KALAMA 1 ,162 - - 3 0 .3 9 5 8 .2 1 42 1 2.2 8 02 6 9.0 1 20 1 0.3 KANGUNDO 2 ,149 9 9 4 .6 2 0 0 .9 1 2 0 .6 4 3 2 .0 1 ,943 9 0.4 3 2 1 .5 KATHIANI 2 ,094 9 4 4 .5 1 2 0 .6 7 0 .3 5 2 2 .5 1 ,877 8 9.6 5 2 2 .5 MACHAKOS 2 1,246 8 06 3 .8 9 4 0 .4 1 67 0 .8 4 50 2 .1 1 9,580 9 2.2 1 49 0 .7 MASINGA 4 ,279 7 1 1 .7 2 8 0 .7 2 87 6 .7 8 2 1 .9 3 ,775 8 8.2 3 6 0 .8 MATUNGULU 1 0,838 7 8 0 .7 1 11 1 .0 1 30 1 .2 4 29 4 .0 1 0,003 9 2.3 8 7 0 .8 MWALA 5 ,021 8 8 1 .8 2 0 0 .4 3 0 0 .6 1 64 3 .3 4 ,645 9 2.5 7 4 1 .5 YATTA 9 ,105 2 20 2 .4 2 23 2 .4 4 6 0 .5 2 71 3 .0 8 ,228 9 0.4 1 17 1 .3 260

Page 274

Table 2.11b: Distribution of Households Renting/Provided with the Main Dwelling Unit by Provider, Area of Residence, County and Sub-County Mode of Tenureship Rented/ FBO/NGO/ Church/ County/ Sub-County Provided Government County Government Parastatal Private company Individual Temple/Mosque Number per cent Number per cent Number per cent Number per cent Number per cent Number per cent MAKUENI 4 5,609 1 ,054 2 .3 6 95 1 .5 2 36 0 .5 2 ,339 5 .1 4 0,684 8 9.2 6 01 1 .3 KATHONZWENI 2 ,153 4 9 2 .3 6 9 3 .2 3 0 .1 1 15 5 .3 1 ,884 8 7.5 3 3 1 .5 KIBWEZI 1 1,379 1 40 1 .2 1 95 1 .7 7 6 0 .7 1 ,148 1 0.1 9 ,703 8 5.3 1 17 1 .0 KILUNGU 6 26 4 2 6 .7 1 0 .2 - - 3 7 5 .9 5 28 8 4.3 1 8 2 .9 MAKINDU 6 ,280 1 28 2 .0 4 3 0 .7 8 9 1 .4 3 70 5 .9 5 ,588 8 9.0 6 2 1 .0 MAKUENI 9 ,580 2 95 3 .1 7 1 0 .7 1 6 0 .2 2 02 2 .1 8 ,920 9 3.1 7 6 0 .8 MBOONI EAST 2 ,094 8 2 3 .9 1 4 0 .7 3 0 .1 1 6 0 .8 1 ,950 9 3.1 2 9 1 .4 MBOONI WEST 1 ,670 8 1 4 .9 4 0 .2 1 0 .1 2 5 1 .5 1 ,500 8 9.8 5 9 3 .5 MUKAA 5 ,871 1 82 3 .1 2 10 3 .6 3 4 0 .6 2 98 5 .1 5 ,008 8 5.3 1 39 2 .4 NZAUI 5 ,956 5 5 0 .9 8 8 1 .5 1 4 0 .2 1 28 2 .1 5 ,603 9 4.1 6 8 1 .1 NYANDARUA 5 3,734 1 ,084 2 .0 1 84 0 .3 2 03 0 .4 1 ,026 1 .9 5 0,668 9 4.3 5 69 1 .1 KINANGOP 9 ,613 7 1 0 .7 4 0 0 .4 5 1 0 .5 1 72 1 .8 9 ,197 9 5.7 8 2 0 .9 NYANDARUA SOUTH 8 ,094 9 6 1 .2 1 3 0 .2 4 1 0 .5 1 04 1 .3 7 ,633 9 4.3 2 07 2 .6 MIRANGINE 5 ,123 1 81 3 .5 1 5 0 .3 1 3 0 .3 1 60 3 .1 4 ,697 9 1.7 5 7 1 .1 KIPIPIRI 4 ,787 1 69 3 .5 1 4 0 .3 1 8 0 .4 7 3 1 .5 4 ,473 9 3.4 4 0 0 .8 NYANDARUA CENTRAL 9 ,007 1 76 2 .0 5 4 0 .6 3 7 0 .4 1 99 2 .2 8 ,455 9 3.9 8 6 1 .0 NYANDARUA WEST 1 0,489 2 09 2 .0 3 2 0 .3 1 2 0 .1 2 64 2 .5 9 ,922 9 4.6 5 0 0 .5 NYANDARUA NORTH 6 ,612 1 73 2 .6 1 6 0 .2 3 1 0 .5 5 4 0 .8 6 ,291 9 5.1 4 7 0 .7 ABERDARE NATIONAL PAR K 9 9 1 00.0 - - - - - - - - - - NYERI 8 0,917 3 ,159 3 .9 6 93 0 .9 7 12 0 .9 3 ,243 4 .0 7 2,140 8 9.2 9 70 1 .2 TETU 2 ,987 2 18 7 .3 1 2 0 .4 4 7 1 .6 1 24 4 .2 2 ,549 8 5.3 3 7 1 .2 KIENI EAST 1 6,997 1 74 1 .0 1 69 1 .0 1 23 0 .7 7 37 4 .3 1 5,637 9 2.0 1 57 0 .9 KIENI WEST 8 ,276 1 48 1 .8 3 1 0 .4 3 5 0 .4 4 61 5 .6 7 ,469 9 0.2 1 32 1 .6 MATHIRA EAST 1 2,437 2 41 1 .9 7 5 0 .6 1 50 1 .2 1 43 1 .1 1 1,764 9 4.6 6 4 0 .5 MATHIRA WEST 2 ,242 1 95 8 .7 1 6 0 .7 2 9 1 .3 7 7 3 .4 1 ,851 8 2.6 7 4 3 .3 NYERI SOUTH 5 ,952 2 57 4 .3 2 2 0 .4 6 6 1 .1 2 19 3 .7 5 ,327 8 9.5 6 1 1 .0 MUKURWE-INI 2 ,750 1 58 5 .7 3 1 1 .1 1 6 0 .6 3 2 1 .2 2 ,455 8 9.3 5 8 2 .1 NYERI CENTRAL 2 9,154 1 ,731 5 .9 3 33 1 .1 1 70 0 .6 1 ,446 5 .0 2 5,087 8 6.0 3 87 1 .3 MT. KENYA FOREST 7 4 3 7 5 0.0 4 5 .4 3 2 4 3.2 - - 1 1 .4 - - ABERDARE FOREST 4 8 - - - - 4 4 9 1.7 4 8 .3 - - - - KIRINYAGA 6 1,325 1 ,397 2 .3 2 88 0 .5 5 17 0 .8 1 ,392 2 .3 5 7,282 9 3.4 4 49 0 .7 KIRINYAGA CENTRAL 1 0,570 4 62 4 .4 1 00 0 .9 7 3 0 .7 4 63 4 .4 9 ,363 8 8.6 1 09 1 .0 KIRINYAGA EAST 7 ,739 1 48 1 .9 1 2 0 .2 2 9 0 .4 2 31 3 .0 7 ,262 9 3.8 5 7 0 .7 KIRINYAGA WEST 1 0,827 2 45 2 .3 1 09 1 .0 7 7 0 .7 2 10 1 .9 1 0,068 9 3.0 1 18 1 .1 MWEA EAST 2 1,452 4 04 1 .9 2 0 0 .1 2 46 1 .1 3 44 1 .6 2 0,366 9 4.9 7 2 0 .3 MWEA WEST 1 0,714 1 19 1 .1 4 7 0 .4 9 2 0 .9 1 40 1 .3 1 0,223 9 5.4 9 3 0 .9 MT. KENYA FOREST 2 3 1 9 8 2.6 - - - - 4 1 7.4 - - - - MURANG’A 7 5,177 1 ,966 2 .6 2 92 0 .4 5 83 0 .8 5 ,834 7 .8 6 5,898 8 7.7 6 04 0 .8 MURANG’A EAST 1 2,390 5 42 4 .4 9 6 0 .8 2 9 0 .2 3 04 2 .5 1 1,355 9 1.6 6 4 0 .5 KANGEMA 4 ,052 1 37 3 .4 4 0 .1 6 9 1 .7 1 71 4 .2 3 ,627 8 9.5 4 4 1 .1 MATHIOYA 3 ,858 1 02 2 .6 1 4 0 .4 8 4 2 .2 1 97 5 .1 3 ,395 8 8.0 6 6 1 .7 KAHURO 2 ,604 9 7 3 .7 1 6 0 .6 7 2 2 .8 3 4 1 .3 2 ,331 8 9.5 5 4 2 .1 MURANG’A SOUTH 1 7,518 3 97 2 .3 5 4 0 .3 5 4 0 .3 1 ,015 5 .8 1 5,900 9 0.8 9 8 0 .6 GATANGA 1 7,085 3 42 2 .0 7 8 0 .5 1 40 0 .8 3 ,760 2 2.0 1 2,614 7 3.8 1 51 0 .9 KIGUMO 8 ,282 1 88 2 .3 1 1 0 .1 8 4 1 .0 2 46 3 .0 7 ,714 9 3.1 3 9 0 .5 KANDARA 9 ,378 1 55 1 .7 1 9 0 .2 5 1 0 .5 1 03 1 .1 8 ,962 9 5.6 8 8 0 .9 ABERDARE FOREST 1 0 6 6 0.0 - - - - 4 4 0.0 - - - - KIAMBU 4 98,012 6 ,371 1 .3 3 ,587 0 .7 2 ,529 0 .5 2 7,933 5 .6 4 54,827 9 1.3 2 ,765 0 .6 GATUNDU NORTH 6 ,475 1 35 2 .1 3 7 0 .6 7 5 1 .2 2 37 3 .7 5 ,926 9 1.5 6 5 1 .0 GATUNDU SOUTH 7 ,442 2 26 3 .0 1 2 0 .2 4 4 0 .6 1 14 1 .5 6 ,996 9 4.0 5 0 0 .7 GITHUNGURI 1 3,963 2 44 1 .7 2 9 0 .2 2 4 0 .2 2 67 1 .9 1 3,278 9 5.1 1 21 0 .9 JUJA 7 3,652 9 70 1 .3 4 34 0 .6 4 10 0 .6 5 ,282 7 .2 6 6,403 9 0.2 1 53 0 .2 KABETE 4 2,720 3 00 0 .7 2 1 0 .0 3 2 0 .1 1 ,251 2 .9 4 0,909 9 5.8 2 07 0 .5 KIAMBAA 5 5,535 1 87 0 .3 2 25 0 .4 1 20 0 .2 2 ,942 5 .3 5 1,889 9 3.4 1 72 0 .3 KIAMBU 3 1,003 6 31 2 .0 9 4 0 .3 1 54 0 .5 2 ,738 8 .8 2 7,309 8 8.1 7 7 0 .2 KIKUYU 3 6,606 4 30 1 .2 5 0 0 .1 6 31 1 .7 1 ,243 3 .4 3 3,893 9 2.6 3 59 1 .0 LARI 1 2,933 2 70 2 .1 1 57 1 .2 1 39 1 .1 4 04 3 .1 1 1,571 8 9.5 3 92 3 .0 LIMURU 2 6,637 3 39 1 .3 5 4 0 .2 2 39 0 .9 2 ,838 1 0.7 2 2,856 8 5.8 3 11 1 .2 RUIRU 1 07,423 1 ,018 0 .9 5 31 0 .5 1 33 0 .1 5 ,318 5 .0 1 00,140 9 3.2 2 83 0 .3 THIKA EAST 6 ,743 1 67 2 .5 5 0 .1 4 5 0 .7 6 26 9 .3 5 ,831 8 6.5 6 9 1 .0 THIKA WEST 7 6,880 1 ,454 1 .9 1 ,938 2 .5 4 83 0 .6 4 ,673 6 .1 6 7,826 8 8.2 5 06 0 .7 TURKANA 2 5,351 1 ,679 6 .6 9 90 3 .9 1 38 0 .5 7 32 2 .9 1 4,258 5 6.2 7 ,554 2 9.8 KIBISH 4 8 2 1 4 3.8 3 6 .3 - - - - 1 1 2 2.9 1 3 2 7.1 LOIMA 2 55 2 4 9 .4 1 0 .4 4 1 .6 3 1 .2 1 89 7 4.1 3 4 1 3.3 TURKANA CENTRAL 9 ,422 6 88 7 .3 4 19 4 .4 5 7 0 .6 2 49 2 .6 7 ,896 8 3.8 1 13 1 .2 TURKANA EAST 4 73 8 8 1 8.6 3 0 .6 1 0 .2 1 0 2 .1 3 65 7 7.2 6 1 .3 TURKANA NORTH 4 81 9 1 1 8.9 1 5 3 .1 4 0 .8 4 8 1 0.0 2 28 4 7.4 9 5 1 9.8 TURKANA SOUTH 3 ,300 4 00 1 2.1 1 46 4 .4 2 0 0 .6 8 2 2 .5 2 ,595 7 8.6 5 7 1 .7 TURKANA WEST 1 1,372 3 67 3 .2 4 03 3 .5 5 2 0 .5 3 40 3 .0 2 ,974 2 6.2 7 ,236 6 3.6 261

Page 275

Table 2.11b: Distribution of Households Renting/Provided with the Main Dwelling Unit by Provider, Area of Residence, County and Sub-County Mode of Tenureship Rented/ FBO/NGO/ Church/ County/ Sub-County Provided Government County Government Parastatal Private company Individual Temple/Mosque Number per cent Number per cent Number per cent Number per cent Number per cent Number per cent WEST POKOT 1 4,192 6 81 4 .8 4 79 3 .4 1 57 1 .1 4 51 3 .2 1 2,261 8 6.4 1 63 1 .1 KIPKOMO 2 ,473 5 8 2 .3 1 18 4 .8 1 7 0 .7 1 16 4 .7 2 ,139 8 6.5 2 5 1 .0 POKOT CENTRAL 1 ,048 9 8 9 .4 1 28 1 2.2 2 0 1 .9 1 5 1 .4 7 57 7 2.2 3 0 2 .9 POKOT NORTH 1 ,079 1 44 1 3.3 5 0 4 .6 1 1 1 .0 1 6 1 .5 8 19 7 5.9 3 9 3 .6 POKOT SOUTH 1 ,059 2 4 2 .3 1 7 1 .6 2 0 .2 2 5 2 .4 9 82 9 2.7 9 0 .8 WEST POKOT 8 ,533 3 57 4 .2 1 66 1 .9 1 07 1 .3 2 79 3 .3 7 ,564 8 8.6 6 0 0 .7 SAMBURU 9 ,543 3 88 4 .1 2 50 2 .6 5 1 0 .5 2 58 2 .7 8 ,426 8 8.3 1 70 1 .8 SAMBURU CENTRAL 6 ,675 3 30 4 .9 2 28 3 .4 5 0 0 .7 2 12 3 .2 5 ,772 8 6.5 8 3 1 .2 SAMBURU EAST 1 ,949 3 8 1 .9 1 7 0 .9 - - 3 5 1 .8 1 ,787 9 1.7 7 2 3 .7 SAMBURU NORTH 9 19 2 0 2 .2 5 0 .5 1 0 .1 1 1 1 .2 8 67 9 4.3 1 5 1 .6 TRANS NZOIA 7 1,976 2 ,152 3 .0 9 13 1 .3 2 ,046 2 .8 1 ,982 2 .8 6 4,091 8 9.0 7 92 1 .1 TRANS NZOIA WEST 2 2,818 1 ,257 5 .5 4 20 1 .8 4 96 2 .2 5 55 2 .4 1 9,911 8 7.3 1 79 0 .8 TRANS NZOIA EAST 1 1,112 2 38 2 .1 8 0 0 .7 1 03 0 .9 4 34 3 .9 1 0,066 9 0.6 1 91 1 .7 KWANZA 1 2,703 1 79 1 .4 1 45 1 .1 2 49 2 .0 2 69 2 .1 1 1,685 9 2.0 1 76 1 .4 ENDEBESS 5 ,921 2 59 4 .4 6 7 1 .1 1 ,083 1 8.3 4 03 6 .8 4 ,066 6 8.7 4 3 0 .7 KIMININI 1 9,422 2 19 1 .1 2 01 1 .0 1 15 0 .6 3 21 1 .7 1 8,363 9 4.5 2 03 1 .0 UASIN GISHU 1 47,951 3 ,226 2 .2 2 ,095 1 .4 1 ,946 1 .3 6 ,286 4 .2 1 33,360 9 0.1 1 ,038 0 .7 AINABKOI 1 6,218 5 39 3 .3 2 28 1 .4 1 12 0 .7 8 16 5 .0 1 4,303 8 8.2 2 20 1 .4 KAPSERET 4 0,966 4 63 1 .1 4 81 1 .2 3 80 0 .9 1 ,823 4 .5 3 7,584 9 1.7 2 35 0 .6 KESSES 1 0,104 2 73 2 .7 8 9 0 .9 6 6 0 .7 1 84 1 .8 9 ,405 9 3.1 8 7 0 .9 MOIBEN 2 2,214 3 33 1 .5 1 00 0 .5 1 30 0 .6 9 27 4 .2 2 0,593 9 2.7 1 31 0 .6 SOY 1 7,758 6 10 3 .4 3 96 2 .2 7 16 4 .0 4 53 2 .6 1 5,459 8 7.1 1 24 0 .7 TURBO 4 0,691 1 ,008 2 .5 8 01 2 .0 5 42 1 .3 2 ,083 5 .1 3 6,016 8 8.5 2 41 0 .6 ELGEYO/MARAKWET 1 7,868 7 16 4 .0 1 51 0 .8 1 19 0 .7 5 49 3 .1 1 6,129 9 0.3 2 04 1 .1 KEIYO NORTH 5 ,146 2 87 5 .6 3 7 0 .7 5 7 1 .1 2 04 4 .0 4 ,527 8 8.0 3 4 0 .7 KEIYO SOUTH 3 ,750 2 25 6 .0 4 0 1 .1 3 6 1 .0 2 01 5 .4 3 ,195 8 5.2 5 3 1 .4 MARAKWET EAST 2 ,468 7 8 3 .2 4 4 1 .8 6 0 .2 2 5 1 .0 2 ,292 9 2.9 2 3 0 .9 MARAKWET WEST 6 ,504 1 26 1 .9 3 0 0 .5 2 0 0 .3 1 19 1 .8 6 ,115 9 4.0 9 4 1 .4 NANDI 4 2,536 9 84 2 .3 5 39 1 .3 2 54 0 .6 8 ,206 1 9.3 3 2,103 7 5.5 4 50 1 .1 CHESUMEI 1 0,363 1 05 1 .0 1 87 1 .8 5 0 0 .5 1 78 1 .7 9 ,677 9 3.4 1 66 1 .6 NANDI CENTRAL 8 ,346 4 27 5 .1 1 54 1 .8 1 12 1 .3 6 17 7 .4 6 ,961 8 3.4 7 5 0 .9 NANDI EAST 1 2,427 1 51 1 .2 1 32 1 .1 3 1 0 .2 5 ,586 4 5.0 6 ,473 5 2.1 5 4 0 .4 NANDI NORTH 3 ,185 7 3 2 .3 1 8 0 .6 9 0 .3 5 2 1 .6 2 ,986 9 3.8 4 7 1 .5 NANDI SOUTH 4 ,105 8 2 2 .0 3 9 1 .0 4 1 1 .0 1 32 3 .2 3 ,776 9 2.0 3 5 0 .9 TINDERET 4 ,110 1 46 3 .6 9 0 .2 1 1 0 .3 1 ,641 3 9.9 2 ,230 5 4.3 7 3 1 .8 BARINGO 2 8,282 1 ,574 5 .6 3 34 1 .2 3 67 1 .3 8 36 3 .0 2 4,892 8 8.0 2 79 1 .0 BARINGO CENTRAL 6 ,352 3 93 6 .2 8 1 1 .3 7 5 1 .2 1 04 1 .6 5 ,659 8 9.1 4 0 0 .6 BARINGO NORTH 2 ,151 1 10 5 .1 1 4 0 .7 5 0 .2 3 6 1 .7 1 ,970 9 1.6 1 6 0 .7 EAST POKOT 6 42 8 0 1 2.5 4 0 .6 2 0 .3 2 2 3 .4 5 07 7 9.0 2 7 4 .2 KOIBATEK 1 0,622 5 56 5 .2 1 31 1 .2 1 68 1 .6 2 17 2 .0 9 ,464 8 9.1 8 6 0 .8 MARIGAT 4 ,590 2 19 4 .8 7 6 1 .7 6 3 1 .4 1 76 3 .8 3 ,990 8 6.9 6 6 1 .4 MOGOTIO 3 ,333 1 41 4 .2 2 3 0 .7 5 4 1 .6 2 35 7 .1 2 ,861 8 5.8 1 9 0 .6 TIATY EAST 5 92 7 5 1 2.7 5 0 .8 - - 4 6 7 .8 4 41 7 4.5 2 5 4 .2 LAIKIPIA 5 6,835 1 ,872 3 .3 9 45 1 .7 2 89 0 .5 4 ,464 7 .9 4 8,763 8 5.8 5 02 0 .9 LAIKIPIA CENTRAL 1 1,165 1 85 1 .7 1 15 1 .0 5 3 0 .5 6 68 6 .0 1 0,091 9 0.4 5 3 0 .5 LAIKIPIA EAST 1 7,295 7 98 4 .6 3 12 1 .8 3 0 0 .2 1 ,641 9 .5 1 4,351 8 3.0 1 63 0 .9 LAIKIPIA NORTH 1 ,093 8 1 7 .4 8 0 .7 7 0 .6 5 22 4 7.8 4 57 4 1.8 1 8 1 .6 LAIKIPIA WEST 8 ,582 2 96 3 .4 3 28 3 .8 8 6 1 .0 8 38 9 .8 6 ,919 8 0.6 1 15 1 .3 NYAHURURU 1 8,700 5 12 2 .7 1 82 1 .0 1 13 0 .6 7 95 4 .3 1 6,945 9 0.6 1 53 0 .8 NAKURU 3 22,763 7 ,877 2 .4 4 ,727 1 .5 3 ,131 1 .0 2 0,744 6 .4 2 84,538 8 8.2 1 ,746 0 .5 GILGIL 2 3,021 1 ,352 5 .9 2 9 0 .1 2 42 1 .1 1 ,122 4 .9 2 0,058 8 7.1 2 18 0 .9 KURESOI NORTH 8 ,795 3 23 3 .7 3 1 0 .4 1 1 0 .1 2 43 2 .8 8 ,099 9 2.1 8 8 1 .0 KURESOI SOUTH 6 ,777 8 9 1 .3 1 8 0 .3 9 3 1 .4 7 04 1 0.4 5 ,857 8 6.4 1 6 0 .2 MOLO 1 7,995 4 76 2 .6 8 9 0 .5 4 5 0 .3 4 61 2 .6 1 6,792 9 3.3 1 32 0 .7 NAIVASHA 7 7,962 1 ,581 2 .0 4 99 0 .6 7 79 1 .0 8 ,756 1 1.2 6 6,111 8 4.8 2 36 0 .3 NAKURU EAST 5 0,388 2 ,174 4 .3 2 ,831 5 .6 4 18 0 .8 2 ,135 4 .2 4 2,523 8 4.4 3 07 0 .6 NAKURU NORTH 3 1,977 1 50 0 .5 7 2 0 .2 1 88 0 .6 9 91 3 .1 3 0,420 9 5.1 1 56 0 .5 NAKURU WEST 5 4,557 9 47 1 .7 8 82 1 .6 9 98 1 .8 3 ,516 6 .4 4 7,984 8 8.0 2 30 0 .4 NJORO 2 2,949 3 59 1 .6 1 69 0 .7 2 84 1 .2 6 77 3 .0 2 1,337 9 3.0 1 23 0 .5 RONGAI 2 2,944 3 68 1 .6 9 6 0 .4 7 3 0 .3 2 ,030 8 .8 2 0,195 8 8.0 1 82 0 .8 SUBUKIA 5 ,398 5 8 1 .1 1 1 0 .2 - - 1 09 2 .0 5 ,162 9 5.6 5 8 1 .1 NAROK 5 4,964 1 ,159 2 .1 7 71 1 .4 2 95 0 .5 1 ,864 3 .4 5 0,394 9 1.7 4 81 0 .9 NAROK EAST 6 ,594 8 9 1 .3 3 2 0 .5 4 0 0 .6 2 55 3 .9 6 ,113 9 2.7 6 5 1 .0 NAROK NORTH 2 6,982 5 73 2 .1 2 19 0 .8 1 38 0 .5 6 88 2 .5 2 5,197 9 3.4 1 67 0 .6 NAROK SOUTH 5 ,423 1 56 2 .9 1 92 3 .5 1 2 0 .2 1 00 1 .8 4 ,904 9 0.4 5 9 1 .1 NAROK WEST 3 ,648 4 9 1 .3 1 53 4 .2 2 7 0 .7 2 54 7 .0 3 ,085 8 4.6 8 0 2 .2 TRANS MARA EAST 6 02 8 1 .3 4 0 .7 - - 1 4 2 .3 5 62 9 3.4 1 4 2 .3 TRANS MARA WEST 1 1,715 2 84 2 .4 1 71 1 .5 7 8 0 .7 5 53 4 .7 1 0,533 8 9.9 9 6 0 .8 MAU FOREST - - - - - - - - - - - - - 262

Page 276

Table 2.11b: Distribution of Households Renting/Provided with the Main Dwelling Unit by Provider, Area of Residence, County and Sub-County Mode of Tenureship Rented/ FBO/NGO/ Church/ County/ Sub-County Provided Government County Government Parastatal Private company Individual Temple/Mosque Number per cent Number per cent Number per cent Number per cent Number per cent Number per cent KAJIADO 1 85,863 1 ,819 1 .0 2 ,576 1 .4 1 ,011 0 .5 1 6,740 9 .0 1 62,643 8 7.5 1 ,074 0 .6 ISINYA 5 8,651 5 07 0 .9 1 ,160 2 .0 6 22 1 .1 9 ,180 1 5.7 4 6,951 8 0.1 2 31 0 .4 KAJIADO CENTRAL 1 3,062 4 23 3 .2 9 5 0 .7 4 0 0 .3 3 45 2 .6 1 2,073 9 2.4 8 6 0 .7 KAJIADO NORTH 8 1,846 5 78 0 .7 6 66 0 .8 1 54 0 .2 4 ,946 6 .0 7 5,019 9 1.7 4 83 0 .6 KAJIADO WEST 1 2,386 5 6 0 .5 1 51 1 .2 3 2 0 .3 1 ,363 1 1.0 1 0,666 8 6.1 1 18 1 .0 LOITOKITOK 1 3,370 1 51 1 .1 3 30 2 .5 1 09 0 .8 7 32 5 .5 1 1,935 8 9.3 1 13 0 .8 MASHUURU 6 ,548 1 04 1 .6 1 74 2 .7 5 4 0 .8 1 74 2 .7 5 ,999 9 1.6 4 3 0 .7 KERICHO 5 2,873 1 ,648 3 .1 4 22 0 .8 7 99 1 .5 9 ,771 1 8.5 3 9,853 7 5.4 3 80 0 .7 BELGUT 1 0,519 1 46 1 .4 1 8 0 .2 2 9 0 .3 5 ,161 4 9.1 5 ,140 4 8.9 2 5 0 .2 BURETI 8 ,073 2 38 2 .9 3 8 0 .5 4 0 0 .5 5 07 6 .3 7 ,187 8 9.0 6 3 0 .8 KERICHO EAST 2 0,768 7 35 3 .5 1 59 0 .8 2 90 1 .4 1 ,936 9 .3 1 7,506 8 4.3 1 42 0 .7 KIPKELION 2 ,125 1 01 4 .8 4 0 1 .9 4 3 2 .0 1 20 5 .6 1 ,780 8 3.8 4 1 1 .9 LONDIANI 8 ,171 3 41 4 .2 4 0 0 .5 3 93 4 .8 1 ,783 2 1.8 5 ,543 6 7.8 7 1 0 .9 SOIN SIGOWET 3 ,217 8 7 2 .7 1 27 3 .9 4 0 .1 2 64 8 .2 2 ,697 8 3.8 3 8 1 .2 BOMET 3 1,630 5 65 1 .8 4 37 1 .4 1 78 0 .6 7 ,929 2 5.1 2 2,218 7 0.2 3 03 1 .0 BOMET EAST 2 ,420 5 3 2 .2 6 0 2 .5 9 0 .4 1 61 6 .7 2 ,120 8 7.6 1 7 0 .7 CHEPALUNGU 1 ,131 4 0 3 .5 1 2 1 .1 1 0 .1 3 8 3 .4 1 ,022 9 0.4 1 8 1 .6 KONOIN 1 3,736 1 05 0 .8 6 9 0 .5 6 7 0 .5 6 ,696 4 8.7 6 ,723 4 8.9 7 6 0 .6 SOTIK 6 ,153 2 15 3 .5 4 3 0 .7 4 5 0 .7 8 77 1 4.3 4 ,913 7 9.8 6 0 1 .0 BOMET CENTRAL 8 ,190 1 52 1 .9 2 53 3 .1 5 6 0 .7 1 57 1 .9 7 ,440 9 0.8 1 32 1 .6 KAKAMEGA 6 2,765 2 ,495 4 .0 1 ,025 1 .6 4 84 0 .8 2 ,570 4 .1 5 5,353 8 8.2 8 38 1 .3 BUTERE 2 ,422 1 40 5 .8 7 7 3 .2 4 0 .2 4 8 2 .0 2 ,118 8 7.4 3 5 1 .4 KAKAMEGA CENTRAL 2 3,790 1 ,094 4 .6 3 46 1 .5 1 00 0 .4 4 86 2 .0 2 1,607 9 0.8 1 57 0 .7 KAKAMEGA EAST 3 ,602 3 51 9 .7 8 8 2 .4 9 6 2 .7 1 21 3 .4 2 ,885 8 0.1 6 1 1 .7 KAKAMEGA NORTH 5 ,063 7 2 1 .4 5 5 1 .1 1 3 0 .3 1 96 3 .9 4 ,677 9 2.4 5 0 1 .0 KAKAMEGA SOUTH 1 ,353 8 4 6 .2 8 0 .6 4 3 3 .2 4 4 3 .3 1 ,120 8 2.8 5 4 4 .0 KHWISERO 1 ,510 8 0 5 .3 5 4 3 .6 2 5 1 .7 2 2 1 .5 1 ,283 8 5.0 4 6 3 .0 LIKUYANI 6 ,842 2 12 3 .1 1 06 1 .5 6 3 0 .9 1 67 2 .4 6 ,151 8 9.9 1 43 2 .1 LUGARI 3 ,959 1 42 3 .6 2 9 0 .7 1 1 0 .3 7 1 1 .8 3 ,641 9 2.0 6 5 1 .6 MATETE 1 ,220 2 3 1 .9 3 0 .2 - - 3 4 2 .8 1 ,140 9 3.4 2 0 1 .6 MATUNGU 2 ,569 6 1 2 .4 3 4 1 .3 2 2 0 .9 1 38 5 .4 2 ,295 8 9.3 1 9 0 .7 MUMIAS EAST 2 ,223 4 0 1 .8 1 8 0 .8 1 0 .0 8 3 3 .7 2 ,048 9 2.1 3 3 1 .5 MUMIAS WEST 6 ,957 1 23 1 .8 1 88 2 .7 5 5 0 .8 1 ,122 1 6.1 5 ,345 7 6.8 1 24 1 .8 NAVAKHOLO 1 ,255 7 3 5 .8 1 9 1 .5 5 1 4 .1 3 8 3 .0 1 ,043 8 3.1 3 1 2 .5 VIHIGA 1 6,993 5 58 3 .3 1 52 0 .9 1 52 0 .9 4 10 2 .4 1 5,462 9 1.0 2 59 1 .5 EMUHAYA 1 ,325 9 0 6 .8 7 0 .5 3 3 2 .5 1 7 1 .3 1 ,161 8 7.6 1 7 1 .3 VIHIGA 3 ,622 2 03 5 .6 4 1 1 .1 3 9 1 .1 6 3 1 .7 3 ,235 8 9.3 4 1 1 .1 SABATIA 4 ,434 1 26 2 .8 3 6 0 .8 2 0 .0 1 21 2 .7 4 ,088 9 2.2 6 1 1 .4 LUANDA 3 ,123 5 7 1 .8 3 8 1 .2 1 0 0 .3 6 1 2 .0 2 ,923 9 3.6 3 4 1 .1 HAMISI 4 ,485 7 8 1 .7 3 0 0 .7 6 8 1 .5 1 48 3 .3 4 ,055 9 0.4 1 06 2 .4 KAKAMEGA FOREST 4 4 1 00.0 - - - - - - - - - - BUNGOMA 6 4,317 1 ,727 2 .7 5 48 0 .9 6 27 1 .0 1 ,330 2 .1 5 9,581 9 2.6 5 04 0 .8 BUMULA 2 ,770 7 5 2 .7 3 7 1 .3 1 6 0 .6 5 1 1 .8 2 ,551 9 2.1 4 0 1 .4 BUNGOMA CENTRAL 5 ,374 1 23 2 .3 2 2 0 .4 7 0 .1 3 5 0 .7 5 ,149 9 5.8 3 8 0 .7 BUNGOMA EAST 4 ,536 2 23 4 .9 2 0 0 .4 5 2 1 .1 3 55 7 .8 3 ,847 8 4.8 3 9 0 .9 BUNGOMA NORTH 2 ,905 5 5 1 .9 1 3 0 .4 3 0 .1 5 4 1 .9 2 ,736 9 4.2 4 4 1 .5 BUNGOMA SOUTH 2 5,330 5 46 2 .2 1 78 0 .7 2 72 1 .1 3 89 1 .5 2 3,851 9 4.2 9 4 0 .4 CHEPTAIS 3 ,052 6 4 2 .1 5 1 1 .7 7 2 2 .4 4 0 1 .3 2 ,783 9 1.2 4 2 1 .4 KIMILILI 7 ,044 1 35 1 .9 8 3 1 .2 1 1 0 .2 1 09 1 .5 6 ,659 9 4.5 4 7 0 .7 MT ELGON 2 ,144 1 40 6 .5 3 0 .1 4 8 2 .2 1 59 7 .4 1 ,766 8 2.4 2 8 1 .3 BUNGOMA WEST 2 ,329 1 16 5 .0 9 0 .4 1 12 4 .8 3 0 1 .3 2 ,025 8 6.9 3 7 1 .6 TONGAREN 2 ,606 5 2 2 .0 7 0 .3 1 8 0 .7 3 6 1 .4 2 ,451 9 4.1 4 2 1 .6 WEBUYE WEST 6 ,221 1 97 3 .2 1 25 2 .0 1 6 0 .3 7 2 1 .2 5 ,758 9 2.6 5 3 0 .9 MT. ELGON FOREST 6 1 1 6.7 - - - - - - 5 8 3.3 - - BUSIA 3 6,137 1 ,117 3 .1 4 86 1 .3 4 48 1 .2 7 90 2 .2 3 3,051 9 1.5 2 45 0 .7 BUNYALA 4 ,120 1 13 2 .7 3 1 0 .8 4 0 .1 7 7 1 .9 3 ,870 9 3.9 2 5 0 .6 BUSIA 1 0,472 3 62 3 .5 2 58 2 .5 1 43 1 .4 2 67 2 .5 9 ,423 9 0.0 1 9 0 .2 BUTULA 3 ,235 8 2 2 .5 1 4 0 .4 6 0 .2 4 2 1 .3 3 ,049 9 4.3 4 2 1 .3 NAMBALE 2 ,818 5 9 2 .1 2 5 0 .9 4 3 1 .5 6 7 2 .4 2 ,603 9 2.4 2 1 0 .7 SAMIA 2 ,261 1 20 5 .3 1 4 0 .6 2 5 1 .1 2 9 1 .3 2 ,004 8 8.6 6 9 3 .1 TESO NORTH 5 ,908 1 53 2 .6 9 1 1 .5 1 34 2 .3 1 38 2 .3 5 ,348 9 0.5 4 4 0 .7 TESO SOUTH 7 ,323 2 28 3 .1 5 3 0 .7 9 3 1 .3 1 70 2 .3 6 ,754 9 2.2 2 5 0 .3 SIAYA 4 6,969 1 ,209 2 .6 6 29 1 .3 5 30 1 .1 1 ,015 2 .2 4 3,098 9 1.8 4 88 1 .0 SIAYA 1 1,408 4 13 3 .6 3 1 0 .3 7 1 0 .6 2 05 1 .8 1 0,581 9 2.8 1 07 0 .9 GEM 4 ,915 1 90 3 .9 1 34 2 .7 1 15 2 .3 1 90 3 .9 4 ,201 8 5.5 8 5 1 .7 UGENYA 3 ,622 1 52 4 .2 6 2 1 .7 2 8 0 .8 4 6 1 .3 3 ,301 9 1.1 3 3 0 .9 UGUNJA 4 ,311 1 03 2 .4 9 0 .2 2 8 0 .6 6 4 1 .5 4 ,056 9 4.1 5 1 1 .2 BONDO 1 7,851 1 91 1 .1 1 86 1 .0 2 18 1 .2 3 73 2 .1 1 6,751 9 3.8 1 32 0 .7 RARIEDA 4 ,862 1 60 3 .3 2 07 4 .3 7 0 1 .4 1 37 2 .8 4 ,208 8 6.5 8 0 1 .6 263

Page 277

Table 2.11b: Distribution of Households Renting/Provided with the Main Dwelling Unit by Provider, Area of Residence, County and Sub-County Mode of Tenureship Rented/ FBO/NGO/ Church/ County/ Sub-County Provided Government County Government Parastatal Private company Individual Temple/Mosque Number per cent Number per cent Number per cent Number per cent Number per cent Number per cent KISUMU 1 20,033 4 ,039 3 .4 1 ,306 1 .1 3 ,100 2 .6 3 ,423 2 .9 1 07,400 8 9.5 7 65 0 .6 KISUMU EAST 3 7,293 8 3 0 .2 5 05 1 .4 2 77 0 .7 9 55 2 .6 3 5,340 9 4.8 1 33 0 .4 KISUMU CENTRAL 4 5,990 2 ,338 5 .1 3 61 0 .8 6 71 1 .5 8 94 1 .9 4 1,515 9 0.3 2 11 0 .5 KISUMU WEST 1 4,310 8 57 6 .0 9 0 0 .6 6 2 0 .4 3 21 2 .2 1 2,896 9 0.1 8 4 0 .6 SEME 2 ,608 8 5 3 .3 6 2 2 .4 3 8 1 .5 9 0 3 .5 2 ,278 8 7.3 5 5 2 .1 MUHORONI 9 ,604 4 70 4 .9 1 28 1 .3 1 ,577 1 6.4 8 69 9 .0 6 ,435 6 7.0 1 25 1 .3 NYANDO 6 ,452 1 65 2 .6 1 36 2 .1 2 36 3 .7 1 71 2 .7 5 ,670 8 7.9 7 4 1 .1 NYAKACH 3 ,776 4 1 1 .1 2 4 0 .6 2 39 6 .3 1 23 3 .3 3 ,266 8 6.5 8 3 2 .2 HOMA BAY 4 8,472 1 ,376 2 .8 9 11 1 .9 5 07 1 .0 1 ,499 3 .1 4 3,566 8 9.9 6 13 1 .3 HOMA BAY 1 1,451 5 04 4 .4 2 72 2 .4 1 22 1 .1 3 61 3 .2 1 0,087 8 8.1 1 05 0 .9 NDHIWA 4 ,801 1 61 3 .4 5 4 1 .1 5 7 1 .2 2 57 5 .4 4 ,212 8 7.7 6 0 1 .2 RACHUONYO NORTH 4 ,818 1 90 3 .9 2 76 5 .7 5 9 1 .2 1 30 2 .7 4 ,035 8 3.7 1 28 2 .7 RACHUONYO EAST 2 ,357 5 7 2 .4 1 7 0 .7 5 7 2 .4 2 2 0 .9 2 ,148 9 1.1 5 6 2 .4 RACHUONYO SOUTH 6 ,550 9 1 1 .4 4 9 0 .7 4 4 0 .7 2 97 4 .5 6 ,015 9 1.8 5 4 0 .8 RANGWE 1 ,995 1 02 5 .1 1 27 6 .4 3 7 1 .9 8 5 4 .3 1 ,569 7 8.6 7 5 3 .8 SUBA NORTH 9 ,563 1 64 1 .7 6 6 0 .7 2 7 0 .3 2 08 2 .2 9 ,005 9 4.2 9 3 1 .0 SUBA SOUTH 6 ,937 1 07 1 .5 5 0 0 .7 1 04 1 .5 1 39 2 .0 6 ,495 9 3.6 4 2 0 .6 MIGORI 4 9,346 1 ,125 2 .3 5 80 1 .2 1 ,131 2 .3 1 ,125 2 .3 4 4,884 9 1.0 5 01 1 .0 AWENDO 6 ,690 1 49 2 .2 2 6 0 .4 6 37 9 .5 1 68 2 .5 5 ,635 8 4.2 7 5 1 .1 KURIA EAST 9 32 1 28 1 3.7 1 0 1 .1 1 0 .1 1 7 1 .8 7 66 8 2.2 1 0 1 .1 KURIA WEST 8 ,938 1 55 1 .7 3 5 0 .4 1 03 1 .2 2 06 2 .3 8 ,405 9 4.0 3 4 0 .4 NYATIKE 7 ,794 1 72 2 .2 1 28 1 .6 1 41 1 .8 1 56 2 .0 7 ,125 9 1.4 7 2 0 .9 RONGO 7 ,005 1 61 2 .3 5 4 0 .8 2 4 0 .3 1 73 2 .5 6 ,487 9 2.6 1 06 1 .5 SUNA EAST 6 ,890 2 11 3 .1 1 4 0 .2 6 7 1 .0 2 39 3 .5 6 ,303 9 1.5 5 6 0 .8 SUNA WEST 8 ,198 4 7 0 .6 1 62 2 .0 1 11 1 .4 8 1 1 .0 7 ,701 9 3.9 9 6 1 .2 URIRI 2 ,899 1 02 3 .5 1 51 5 .2 4 7 1 .6 8 5 2 .9 2 ,462 8 4.9 5 2 1 .8 KISII 5 2,130 1 ,226 2 .4 6 85 1 .3 2 65 0 .5 1 ,092 2 .1 4 8,565 9 3.2 2 97 0 .6 ETAGO 1 ,225 3 3 2 .7 6 6 5 .4 1 0 .1 2 0 1 .6 1 ,095 8 9.4 1 0 0 .8 GUCHA 2 ,438 3 3 1 .4 2 0 .1 7 0 .3 1 33 5 .5 2 ,253 9 2.4 1 0 0 .4 GUCHA SOUTH 1 ,851 4 7 2 .5 - - 2 0 .1 4 8 2 .6 1 ,668 9 0.1 8 6 4 .6 KENYENYA 3 ,505 3 1 0 .9 9 2 2 .6 1 5 0 .4 1 6 0 .5 3 ,333 9 5.1 1 8 0 .5 KISII CENTRAL 1 5,476 7 85 5 .1 1 81 1 .2 7 8 0 .5 3 53 2 .3 1 4,024 9 0.6 5 5 0 .4 KISII SOUTH 3 ,432 4 2 1 .2 7 0 .2 3 6 1 .0 9 2 2 .7 3 ,236 9 4.3 1 9 0 .6 KITUTU CENTRAL 1 6,236 1 27 0 .8 2 74 1 .7 9 7 0 .6 3 10 1 .9 1 5,403 9 4.9 2 5 0 .2 MARANI 1 ,150 4 2 3 .7 5 0 .4 3 0 .3 7 0 .6 1 ,071 9 3.1 2 2 1 .9 MASABA SOUTH 2 ,958 6 1 2 .1 3 1 1 .0 1 0 .0 2 7 0 .9 2 ,812 9 5.1 2 6 0 .9 NYAMACHE 2 ,490 1 4 0 .6 6 0 .2 1 4 0 .6 7 6 3 .1 2 ,366 9 5.0 1 4 0 .6 SAMETA 1 ,369 1 1 0 .8 2 1 1 .5 1 1 0 .8 1 0 0 .7 1 ,304 9 5.3 1 2 0 .9 NYAMIRA 2 1,767 6 15 2 .8 2 89 1 .3 1 37 0 .6 2 ,174 1 0.0 1 8,402 8 4.5 1 50 0 .7 BORABU 8 ,368 1 07 1 .3 3 4 0 .4 6 5 0 .8 1 ,859 2 2.2 6 ,235 7 4.5 6 8 0 .8 MANGA 2 ,376 7 8 3 .3 1 08 4 .5 1 7 0 .7 8 0 .3 2 ,154 9 0.7 1 1 0 .5 MASABA NORTH 3 ,082 1 01 3 .3 6 0 1 .9 4 0 1 .3 6 7 2 .2 2 ,801 9 0.9 1 3 0 .4 NYAMIRA NORTH 3 ,349 8 5 2 .5 1 0 .0 1 3 0 .4 1 18 3 .5 3 ,094 9 2.4 3 8 1 .1 NYAMIRA SOUTH 4 ,592 2 44 5 .3 8 6 1 .9 2 0 .0 1 22 2 .7 4 ,118 8 9.7 2 0 0 .4 NAIROBI CITY 1 ,354,882 2 8,829 2 .1 2 3,794 1 .8 1 4,726 1 .1 9 7,984 7 .2 1 ,184,499 8 7.4 5 ,050 0 .4 DAGORETTI 1 40,898 4 32 0 .3 1 ,400 1 .0 7 40 0 .5 8 ,579 6 .1 1 29,417 9 1.9 3 30 0 .2 EMBAKASI 3 28,498 2 ,690 0 .8 2 ,903 0 .9 2 ,440 0 .7 3 1,101 9 .5 2 88,905 8 7.9 4 59 0 .1 KAMUKUNJI 7 9,869 1 ,979 2 .5 3 ,019 3 .8 4 72 0 .6 7 ,098 8 .9 6 6,952 8 3.8 3 49 0 .4 KASARANI 2 46,121 4 ,273 1 .7 2 ,394 1 .0 1 ,540 0 .6 1 4,920 6 .1 2 22,404 9 0.4 5 90 0 .2 KIBRA 5 5,504 1 ,659 3 .0 1 ,484 2 .7 1 ,233 2 .2 1 ,313 2 .4 4 9,642 8 9.4 1 73 0 .3 LANG’ATA 4 7,853 3 ,813 8 .0 3 31 0 .7 8 99 1 .9 5 ,122 1 0.7 3 6,930 7 7.2 7 58 1 .6 MAKADARA 6 5,557 5 ,404 8 .2 6 ,293 9 .6 3 ,383 5 .2 2 ,529 3 .9 4 7,452 7 2.4 4 96 0 .8 MATHARE 7 2,778 8 14 1 .1 1 ,910 2 .6 1 53 0 .2 3 ,782 5 .2 6 6,041 9 0.7 7 8 0 .1 NJIRU 1 69,306 1 ,018 0 .6 1 ,880 1 .1 7 78 0 .5 5 ,900 3 .5 1 59,380 9 4.1 3 50 0 .2 STAREHE 6 2,111 3 ,673 5 .9 1 ,449 2 .3 1 ,884 3 .0 6 ,766 1 0.9 4 7,964 7 7.2 3 75 0 .6 WESTLANDS 8 6,387 3 ,074 3 .6 7 31 0 .8 1 ,204 1 .4 1 0,874 1 2.6 6 9,412 8 0.4 1 ,092 1 .3 264

Page 278

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated KENYA 1 2,043,016 5 .1 1 .6 0 .9 8 0.3 0 .1 1 .4 8 .2 1 .0 0 .1 0 .6 0 .6 0 .0 0 .0 Rural 7 ,379,282 7 .9 2 .3 1 .3 8 5.7 0 .2 0 .9 0 .5 0 .2 0 .1 0 .3 0 .6 0 .0 0 .0 Urban 4 ,663,734 0 .6 0 .5 0 .2 7 1.8 0 .1 2 .2 2 0.5 2 .4 0 .0 0 .9 0 .7 0 .1 0 .0 MOMBASA 3 76,295 0 .1 0 .5 0 .3 7 9.1 0 .1 2 .1 1 4.8 1 .1 0 .0 0 .4 1 .2 0 .1 0 .0 CHANGAMWE 4 6,439 0 .0 0 .1 0 .6 8 1.1 0 .1 4 .1 1 1.4 0 .3 0 .0 0 .1 2 .1 0 .0 0 .0 JOMVU 5 3,214 0 .1 0 .7 0 .3 8 5.3 0 .1 0 .9 1 1.1 0 .2 0 .0 0 .2 0 .7 0 .3 0 .0 KISAUNI 8 8,159 0 .2 0 .9 0 .2 8 4.2 0 .1 2 .3 9 .0 1 .0 0 .0 0 .4 1 .6 0 .1 0 .0 LIKONI 8 0,002 0 .1 0 .6 0 .2 9 3.5 0 .1 1 .5 2 .8 0 .3 0 .0 0 .1 0 .7 0 .0 0 .0 MVITA 3 8,710 0 .1 0 .1 0 .5 3 1.7 0 .1 2 .3 5 9.8 3 .1 0 .1 1 .2 0 .9 0 .1 0 .1 NYALI 6 9,771 0 .1 0 .5 0 .4 7 6.5 0 .1 2 .1 1 6.1 2 .3 0 .0 0 .4 1 .4 0 .0 0 .0 KWALE 1 72,802 4 .0 2 5.4 0 .2 6 8.3 0 .1 0 .9 0 .7 0 .1 0 .0 0 .2 0 .1 0 .0 0 .0 KINANGO 1 6,041 1 2.4 1 7.3 0 .3 6 8.8 0 .0 0 .6 0 .1 0 .1 0 .1 0 .1 0 .2 - 0 .0 LUNGALUNGA 3 7,276 7 .3 3 4.2 0 .3 5 7.0 0 .1 0 .6 0 .1 0 .1 0 .1 0 .0 0 .2 0 .0 0 .0 MATUGA 3 9,124 1 .2 3 3.7 0 .1 6 3.1 0 .0 1 .1 0 .3 0 .1 0 .0 0 .2 0 .0 0 .0 0 .0 MSAMBWENI 4 5,374 0 .5 2 6.3 0 .1 6 9.1 0 .1 1 .2 2 .0 0 .3 0 .0 0 .3 0 .1 0 .0 0 .0 SAMBURU 3 4,987 4 .2 9 .1 0 .2 8 4.7 0 .1 0 .6 0 .2 0 .1 0 .1 0 .3 0 .2 0 .0 0 .1 KILIFI 2 97,990 2 .1 2 0.5 0 .2 7 1.6 0 .1 1 .1 3 .4 0 .4 0 .1 0 .2 0 .2 0 .0 0 .0 CHONYI 1 1,416 1 .5 4 8.9 0 .1 4 8.7 0 .0 0 .5 0 .1 0 .0 0 .0 0 .1 - - - GANZE 2 3,197 5 .9 1 3.4 0 .6 7 9.2 0 .1 0 .2 0 .2 0 .0 0 .1 0 .0 0 .2 0 .0 0 .1 KALOLENI 3 6,344 1 .0 1 5.4 0 .2 7 9.8 0 .1 0 .6 1 .3 1 .1 0 .0 0 .3 0 .1 0 .0 0 .0 KAUMA 3 ,479 3 .1 3 7.6 0 .1 5 8.5 0 .0 0 .2 0 .3 - 0 .1 0 .0 0 .1 - - KILIFI NORTH 3 9,508 0 .8 2 6.5 0 .1 6 8.7 0 .0 1 .5 1 .6 0 .5 0 .0 0 .3 0 .0 0 .0 0 .0 KILIFI SOUTH 5 3,011 0 .4 1 7.5 0 .2 7 1.1 0 .1 2 .0 7 .2 0 .6 0 .0 0 .5 0 .2 0 .1 0 .0 MAGARINI 3 2,978 7 .0 2 3.5 0 .2 6 8.0 0 .1 0 .3 0 .5 0 .0 0 .2 0 .0 0 .2 0 .0 0 .0 MALINDI 7 3,317 1 .9 1 8.2 0 .1 7 0.8 0 .1 1 .3 6 .7 0 .2 0 .1 0 .2 0 .4 0 .0 0 .0 RABAI 2 4,740 0 .3 1 8.9 0 .1 7 8.2 0 .1 0 .5 0 .9 0 .1 0 .0 0 .3 0 .4 0 .0 0 .0 TANA RIVER 6 6,984 3 3.5 8 .8 1 .1 5 2.9 0 .1 0 .5 0 .6 0 .1 1 .3 0 .0 0 .9 0 .0 0 .1 TANA DELTA 2 2,395 3 4.7 1 9.1 0 .5 4 2.1 0 .1 0 .5 0 .2 0 .0 1 .8 0 .1 0 .8 0 .0 0 .0 TANA NORTH 2 6,119 3 4.8 3 .7 1 .7 5 5.3 0 .2 0 .5 1 .1 0 .0 1 .6 0 .0 1 .0 0 .0 0 .0 TANA RIVER 1 8,470 3 0.3 3 .5 0 .9 6 2.8 0 .1 0 .6 0 .4 0 .2 0 .4 0 .0 0 .7 - 0 .1 LAMU 3 4,231 9 .0 1 9.0 0 .3 5 5.6 0 .0 1 .2 1 3.7 0 .0 0 .4 0 .1 0 .6 0 .0 0 .0 LAMU EAST 4 ,476 7 .6 5 0.0 0 .1 2 7.4 0 .0 0 .6 1 3.9 - 0 .3 0 .0 0 .1 - - LAMU WEST 2 9,755 9 .2 1 4.4 0 .3 5 9.8 0 .1 1 .3 1 3.7 0 .0 0 .4 0 .1 0 .7 0 .0 0 .0 265

Page 279

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated TAITA/TAVETA 9 4,468 0 .9 0 .3 0 .2 9 4.9 0 .3 1 .5 1 .0 0 .3 0 .0 0 .3 0 .1 0 .1 0 .0 MWATATE 2 3,184 0 .2 0 .1 0 .1 9 7.6 0 .4 0 .7 0 .2 0 .1 0 .1 0 .4 0 .1 0 .0 0 .0 TAITA 1 4,985 0 .5 0 .0 0 .2 9 5.0 0 .8 1 .6 0 .7 0 .7 0 .0 0 .4 0 .0 0 .1 0 .0 TAVETA 2 3,417 2 .4 1 .1 0 .2 9 2.6 0 .1 2 .2 0 .6 0 .2 0 .0 0 .3 0 .2 0 .1 0 .0 VOI 3 2,882 0 .6 0 .0 0 .1 9 4.7 0 .1 1 .4 1 .9 0 .5 0 .0 0 .3 0 .2 0 .1 0 .0 GARISSA 1 38,940 3 3.9 2 .2 4 .6 5 3.0 0 .8 1 .2 3 .1 0 .4 0 .2 0 .1 0 .3 0 .0 0 .0 BALAMBALA 3 ,986 5 5.8 9 .0 7 .5 2 3.6 1 .9 0 .4 1 .6 0 .2 0 .2 - 0 .0 - - DADAAB 3 5,169 1 9.7 1 .6 8 .7 6 5.0 1 .2 0 .9 2 .1 0 .2 0 .3 0 .0 0 .2 0 .0 0 .0 FAFI 2 3,351 3 3.8 3 .6 5 .3 5 2.5 1 .0 0 .2 1 .9 0 .3 0 .7 0 .1 0 .4 0 .2 0 .0 GARISSA 2 9,790 1 1.3 1 .8 1 .7 7 3.2 0 .4 3 .1 6 .6 1 .2 0 .1 0 .3 0 .1 0 .0 0 .1 HULUGHO 2 0,078 7 8.5 0 .5 1 .9 1 7.5 0 .5 0 .0 1 .1 0 .0 0 .0 0 .0 0 .0 0 .0 0 .0 IJARA 1 8,296 3 5.3 2 .9 1 .7 5 2.3 0 .8 2 .0 4 .0 0 .5 0 .1 0 .2 0 .2 0 .0 0 .0 LAGDERA 8 ,270 5 4.1 2 .0 7 .6 3 3.2 0 .4 0 .3 1 .0 0 .1 0 .0 0 .0 1 .2 - - WAJIR 1 26,878 5 0.8 3 .0 4 .0 3 6.2 0 .5 0 .8 2 .8 0 .4 0 .3 0 .0 1 .1 0 .1 0 .0 BUNA 6 ,480 4 0.4 1 .9 4 .3 4 1.8 0 .4 0 .6 0 .5 0 .2 0 .1 0 .0 9 .7 0 .0 - ELDAS 1 3,862 6 4.5 4 .1 4 .4 2 0.5 0 .9 0 .5 2 .1 1 .0 0 .1 0 .0 2 .0 0 .0 - HABASWEIN 3 1,113 3 2.3 2 .0 3 .1 5 5.5 0 .7 0 .9 4 .4 0 .2 0 .5 0 .0 0 .3 0 .1 0 .0 TARBAJ 9 ,241 7 8.8 1 .8 2 .8 1 5.3 0 .4 0 .2 0 .4 0 .3 0 .0 - 0 .0 - - WAJIR EAST 1 8,282 3 6.1 4 .6 1 .7 4 9.5 0 .5 1 .0 5 .1 0 .7 0 .1 0 .2 0 .2 0 .3 0 .0 WAJIR NORTH 1 0,478 3 2.3 2 .5 8 .7 4 7.8 0 .6 2 .7 2 .8 0 .4 0 .0 0 .0 2 .0 0 .0 - WAJIR SOUTH 2 1,149 6 4.8 2 .9 5 .8 2 4.5 0 .2 0 .2 0 .6 0 .0 0 .3 0 .0 0 .6 - 0 .0 WAJIR WEST 1 6,273 7 3.3 3 .5 2 .8 1 5.3 0 .4 0 .9 3 .0 0 .1 0 .7 0 .0 0 .0 0 .0 - MANDERA 1 23,954 4 3.1 4 .5 4 .5 4 2.2 0 .6 0 .6 2 .6 0 .2 0 .8 0 .1 0 .8 0 .0 0 .0 MANDERA WEST 1 4,201 3 1.9 1 .5 7 .7 5 3.3 0 .5 1 .3 1 .6 0 .3 0 .4 0 .0 1 .5 - 0 .0 BANISA 2 4,000 4 4.7 4 .1 7 .0 4 0.1 0 .5 0 .4 1 .3 0 .1 0 .7 0 .0 1 .1 0 .0 0 .0 KOTULO 9 ,342 5 1.4 3 .8 3 .2 3 7.2 0 .8 0 .4 2 .7 0 .2 0 .1 0 .0 0 .1 - - LAFEY 1 1,380 5 8.3 7 .0 3 .2 2 6.7 1 .1 0 .4 0 .7 0 .5 1 .7 0 .0 0 .2 0 .0 - MANDERA CENTRAL 2 0,795 3 4.3 3 .0 4 .8 5 1.9 0 .4 0 .5 3 .6 0 .3 0 .2 0 .0 0 .9 0 .0 0 .1 MANDERA EAST 2 5,206 3 3.5 7 .0 2 .2 4 9.3 0 .5 1 .2 4 .8 0 .3 0 .2 0 .2 0 .6 0 .0 - MANDERA NORTH 1 9,030 5 8.6 4 .5 3 .3 2 8.0 0 .4 0 .2 2 .2 0 .1 2 .2 0 .0 0 .5 0 .0 - MARSABIT 7 6,689 3 1.1 1 0.5 1 .7 4 3.2 0 .2 0 .8 0 .9 0 .1 0 .2 0 .1 1 1.4 0 .0 0 .1 LOIYANGALANI 7 ,646 4 9.1 1 7.0 2 .4 1 0.3 0 .0 0 .8 0 .5 - 0 .2 0 .0 1 9.6 - - MARSABIT CENTRAL 1 5,658 9 .6 0 .7 1 .0 7 8.8 0 .4 1 .8 1 .0 0 .1 0 .1 0 .3 6 .0 0 .0 0 .0 MARSABIT NORTH 7 ,468 3 3.1 4 8.2 0 .3 1 5.4 0 .1 0 .2 0 .4 0 .0 0 .1 - 2 .2 0 .0 - 266

Page 280

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated MARSABIT SOUTH 1 1,563 3 6.2 8 .5 1 .7 1 0.9 0 .1 0 .2 0 .4 - 0 .1 0 .0 4 1.9 0 .0 0 .0 MOYALE 1 7,591 2 4.0 0 .7 3 .0 6 4.2 0 .1 1 .0 1 .9 0 .1 0 .2 0 .1 4 .6 0 .0 0 .0 NORTH HORR 9 ,601 4 9.7 1 8.8 0 .6 2 5.1 0 .6 0 .1 0 .1 0 .0 0 .0 - 4 .6 - 0 .4 SOLOLO 7 ,162 4 0.5 1 .9 1 .8 5 3.7 0 .1 0 .3 0 .8 0 .0 0 .6 - 0 .3 - 0 .0 ISIOLO 5 3,217 1 5.9 1 .4 2 .5 7 0.2 0 .3 0 .7 1 .9 0 .3 0 .3 0 .4 6 .1 0 .0 0 .0 GARBATULLA 1 7,047 2 6.1 2 .6 3 .5 6 4.9 0 .6 0 .3 1 .1 0 .4 0 .1 0 .1 0 .3 - 0 .0 ISIOLO 2 7,612 4 .1 0 .3 2 .4 7 6.0 0 .1 1 .2 2 .9 0 .2 0 .5 0 .7 1 1.5 0 .0 0 .0 MERTI 8 ,558 3 3.4 2 .8 0 .8 6 2.4 0 .1 0 .1 0 .2 0 .0 0 .1 0 .0 - - - MERU 4 23,931 0 .5 0 .1 0 .2 9 4.3 0 .1 1 .8 1 .4 0 .2 0 .0 0 .7 0 .3 0 .1 0 .0 BUURI EAST 2 3,737 0 .0 0 .0 0 .1 9 6.7 0 .2 1 .5 0 .6 0 .1 - 0 .7 0 .1 0 .0 0 .0 BUURI WEST 2 7,905 0 .2 0 .1 0 .1 9 5.3 0 .1 2 .5 0 .6 0 .1 0 .0 0 .4 0 .5 0 .1 0 .0 IGEMBE CENTRAL 5 1,848 0 .7 0 .2 0 .2 9 6.4 0 .1 1 .2 0 .3 0 .1 0 .1 0 .5 0 .2 0 .1 0 .0 IGEMBE NORTH 3 8,716 0 .8 0 .2 0 .5 9 5.2 0 .1 1 .6 0 .7 0 .1 0 .0 0 .3 0 .3 0 .2 0 .0 IGEMBE SOUTH 4 3,222 0 .3 0 .2 0 .2 9 4.1 0 .1 1 .8 2 .0 0 .1 0 .0 0 .5 0 .4 0 .3 0 .1 IMENTI NORTH 5 7,556 0 .0 0 .0 0 .1 9 0.6 0 .1 1 .8 4 .9 0 .5 0 .0 1 .3 0 .6 0 .0 0 .0 IMENTI SOUTH 6 3,954 0 .2 0 .0 0 .1 9 4.2 0 .1 2 .3 1 .5 0 .2 0 .0 1 .1 0 .2 0 .0 0 .0 MERU CENTRAL 3 9,498 0 .2 0 .0 0 .2 9 5.6 0 .1 2 .1 0 .6 0 .1 0 .0 0 .7 0 .2 0 .0 0 .0 TIGANIA CENTRAL 2 4,983 0 .7 0 .1 0 .4 9 5.4 0 .1 1 .7 0 .6 0 .1 0 .1 0 .7 0 .1 0 .1 0 .0 TIGANIA EAST 1 6,791 5 .3 0 .3 0 .8 8 9.6 0 .1 1 .7 0 .6 0 .1 0 .1 0 .6 0 .7 0 .0 0 .1 TIGANIA WEST 3 5,402 0 .3 0 .1 0 .3 9 5.3 0 .2 2 .2 0 .6 0 .1 0 .0 0 .6 0 .1 0 .1 0 .0 MERU NATIONAL PARK 4 6 - - - 9 7.8 2 .2 - - - - - - - - MT. KENYA FOREST 2 73 4 2.9 1 7.6 - 1 2.8 - 0 .4 - - 2 .2 - 2 2.0 2 .2 - THARAKA-NITHI 1 09,450 0 .7 0 .1 0 .3 9 5.4 0 .1 0 .7 1 .5 0 .1 0 .0 0 .7 0 .3 0 .0 0 .0 IGAMBANG’OMBE 1 4,383 1 .3 0 .1 0 .4 9 6.8 0 .1 0 .4 0 .3 0 .1 0 .0 0 .4 0 .0 0 .0 0 .0 MAARA 3 4,779 0 .3 0 .0 0 .1 9 6.9 0 .1 0 .8 0 .9 0 .1 0 .0 0 .6 0 .0 0 .0 0 .0 MERU SOUTH 2 8,211 0 .1 0 .0 0 .1 9 2.8 0 .1 0 .3 4 .0 0 .3 0 .0 1 .1 1 .1 0 .0 0 .0 THARAKA NORTH 1 3,403 2 .4 0 .5 0 .9 9 4.5 0 .2 0 .8 0 .1 0 .1 0 .0 0 .5 0 .1 0 .1 0 .1 THARAKA SOUTH 1 8,603 1 .0 0 .1 0 .5 9 6.3 0 .2 0 .9 0 .4 0 .0 0 .0 0 .6 - 0 .0 0 .0 MT. KENYA FOREST 7 1 - - - 1 00.0 - - - - - - - - - EMBU 1 82,427 0 .2 0 .0 0 .2 9 5.0 0 .1 0 .9 2 .4 0 .3 0 .0 0 .7 0 .1 0 .0 0 .0 EMBU EAST 3 9,586 0 .0 0 .1 0 .2 9 6.6 0 .1 1 .0 0 .8 0 .2 0 .0 0 .9 0 .0 0 .0 - EMBU NORTH 2 4,294 0 .0 0 .0 0 .1 9 7.8 0 .1 0 .7 0 .5 0 .3 0 .0 0 .4 0 .1 0 .0 0 .0 EMBU WEST 4 3,126 0 .0 0 .0 0 .1 8 8.8 0 .1 1 .2 7 .9 0 .9 0 .0 0 .6 0 .3 0 .0 0 .0 MBEERE SOUTH 4 5,924 0 .4 0 .0 0 .2 9 6.8 0 .1 0 .7 0 .8 0 .1 0 .0 0 .6 0 .1 0 .0 0 .0 267

Page 281

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated MBEERE NORTH 2 9,483 0 .4 0 .1 0 .4 9 7.0 0 .1 0 .7 0 .4 0 .1 0 .0 0 .7 0 .1 0 .0 0 .0 MT. KENYA FOREST 1 4 - - - 9 2.9 - 7 .1 - - - - - - - KITUI 2 61,814 2 .7 0 .3 0 .4 9 3.1 0 .1 1 .5 1 .0 0 .3 0 .0 0 .5 0 .1 0 .0 0 .0 IKUTHA 1 6,579 3 .5 0 .1 0 .3 9 4.4 0 .1 1 .0 0 .3 0 .0 0 .0 0 .2 0 .0 0 .0 0 .0 KATULANI 1 2,166 0 .4 0 .1 0 .3 9 5.1 0 .1 2 .6 0 .3 0 .2 - 0 .8 0 .1 0 .1 - KISASI 1 0,860 0 .5 0 .0 0 .1 9 6.6 0 .2 1 .0 0 .5 0 .1 0 .0 0 .9 0 .0 - 0 .0 KITUI CENTRAL 2 9,026 0 .3 0 .0 0 .3 9 1.4 0 .1 2 .3 3 .6 0 .7 0 .1 0 .9 0 .2 0 .0 0 .0 KITUI WEST 1 7,465 0 .2 0 .0 0 .1 9 5.7 0 .1 1 .8 0 .6 0 .7 - 0 .6 0 .0 0 .0 - KYUSO 1 5,969 3 .7 0 .1 0 .4 9 3.7 0 .1 0 .8 0 .8 0 .1 0 .0 0 .2 0 .1 0 .1 0 .0 LOWER YATTA 1 5,021 1 .3 0 .2 0 .7 9 4.0 0 .1 1 .7 1 .2 0 .3 0 .1 0 .4 0 .0 0 .0 0 .0 MATINYANI 1 1,497 0 .4 0 .0 0 .1 9 6.1 0 .1 1 .6 0 .4 0 .4 0 .0 0 .8 0 .0 0 .0 - MIGWANI 1 8,843 0 .2 0 .0 0 .2 9 6.9 0 .1 1 .3 0 .5 0 .2 0 .0 0 .6 0 .0 - 0 .0 MUMONI 6 ,451 3 .1 0 .1 0 .1 9 5.4 0 .2 0 .7 0 .1 0 .0 - 0 .3 0 .0 - 0 .0 MUTITU 1 1,490 7 .9 1 .4 0 .9 8 7.4 0 .1 1 .2 0 .4 0 .1 0 .1 0 .2 0 .1 - 0 .1 MUTITU NORTH 4 ,929 2 .4 0 .2 0 .3 9 4.6 0 .2 0 .5 0 .2 0 .2 0 .1 1 .1 0 .1 0 .1 0 .0 MUTOMO 2 3,034 7 .3 1 .2 0 .3 8 8.7 0 .2 1 .5 0 .2 0 .2 0 .0 0 .3 0 .1 0 .0 0 .0 MWINGI CENTRAL 2 6,745 0 .4 0 .1 0 .3 9 3.6 0 .1 2 .4 2 .2 0 .2 0 .0 0 .4 0 .2 0 .1 0 .0 MWINGI EAST 1 8,725 4 .8 0 .3 0 .6 9 1.9 0 .1 0 .9 0 .6 0 .2 0 .1 0 .3 0 .1 0 .0 0 .0 NZAMBANI 1 1,276 0 .7 0 .1 0 .1 9 5.8 0 .1 1 .3 0 .8 0 .2 0 .1 0 .9 0 .0 - - THAGICU 3 ,289 1 4.5 0 .5 0 .4 8 4.3 0 .0 0 .2 0 .0 - - 0 .1 - - - TSEIKURU 8 ,449 1 2.1 0 .3 0 .9 8 5.7 0 .1 0 .4 0 .5 0 .1 0 .0 - 0 .0 - - MACHAKOS 3 99,523 0 .2 0 .0 0 .1 8 5.9 0 .1 1 .9 8 .9 1 .2 0 .0 1 .3 0 .2 0 .1 0 .0 ATHI RIVER 1 09,723 0 .1 0 .0 0 .1 6 3.7 0 .1 1 .7 2 7.3 3 .5 0 .1 2 .7 0 .5 0 .1 0 .1 KALAMA 1 4,137 0 .3 0 .0 0 .2 9 5.6 0 .2 1 .8 1 .1 0 .4 0 .0 0 .4 0 .0 0 .0 0 .0 KANGUNDO 2 6,115 0 .1 0 .0 0 .0 9 6.4 0 .1 1 .9 0 .5 0 .3 0 .0 0 .6 0 .0 0 .0 0 .0 KATHIANI 2 8,730 0 .0 0 .0 0 .1 9 6.2 0 .1 1 .9 0 .4 0 .3 - 1 .0 0 .0 0 .0 0 .0 MACHAKOS 5 0,753 0 .0 0 .0 0 .1 9 1.2 0 .2 2 .4 4 .2 0 .9 0 .0 0 .8 0 .1 0 .0 0 .0 MASINGA 3 6,196 1 .2 0 .1 0 .3 9 5.9 0 .2 1 .5 0 .2 0 .1 0 .0 0 .4 0 .0 0 .0 0 .0 MATUNGULU 4 4,399 0 .2 0 .0 0 .2 9 1.5 0 .1 2 .8 3 .5 0 .3 0 .0 1 .3 0 .1 0 .0 0 .0 MWALA 4 5,809 0 .2 0 .0 0 .1 9 6.9 0 .1 1 .1 0 .7 0 .2 0 .0 0 .5 0 .1 0 .0 0 .0 YATTA 4 3,661 0 .6 0 .2 0 .2 9 3.9 0 .2 2 .0 2 .1 0 .2 0 .0 0 .5 0 .0 0 .0 0 .0 MAKUENI 2 43,979 0 .6 0 .1 0 .1 9 6.0 0 .1 1 .6 0 .6 0 .2 0 .0 0 .5 0 .0 0 .0 0 .0 KATHONZWENI 1 8,362 1 .7 0 .0 0 .1 9 5.9 0 .2 1 .3 0 .3 0 .1 0 .0 0 .3 0 .0 0 .1 0 .0 KIBWEZI 4 7,594 0 .8 0 .0 0 .1 9 6.8 0 .1 1 .2 0 .5 0 .2 0 .0 0 .3 0 .0 0 .0 0 .0 268

Page 282

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated KILUNGU 1 4,563 0 .1 0 .0 0 .3 9 7.3 0 .2 1 .1 0 .5 0 .1 - 0 .3 0 .1 - 0 .0 MAKINDU 2 1,662 0 .6 0 .0 0 .1 9 5.6 0 .2 2 .0 0 .5 0 .2 0 .0 0 .6 0 .1 0 .0 0 .0 MAKUENI 3 4,352 0 .5 0 .0 0 .1 9 5.5 0 .1 1 .8 1 .0 0 .2 0 .0 0 .7 0 .0 0 .0 0 .0 MBOONI EAST 2 3,724 0 .4 0 .3 0 .1 9 5.8 0 .1 1 .9 0 .3 0 .1 0 .0 0 .9 0 .0 0 .0 0 .0 MBOONI WEST 2 4,807 0 .2 0 .0 0 .1 9 7.1 0 .1 1 .5 0 .3 0 .1 - 0 .4 0 .0 0 .0 0 .0 MUKAA 2 8,109 0 .3 0 .0 0 .2 9 5.8 0 .2 1 .1 1 .3 0 .4 0 .0 0 .6 0 .1 0 .0 0 .0 NZAUI 3 0,806 0 .8 0 .1 0 .2 9 4.7 0 .1 2 .2 0 .9 0 .2 0 .1 0 .7 0 .0 0 .0 0 .0 NYANDARUA 1 78,224 0 .1 0 .0 0 .1 9 7.2 0 .1 0 .8 0 .8 0 .1 0 .0 0 .3 0 .4 0 .0 0 .0 KINANGOP 3 0,847 0 .0 0 .0 0 .1 9 6.7 0 .1 1 .1 1 .1 0 .3 0 .0 0 .4 0 .3 0 .1 0 .0 NYANDARUA SOUTH 2 5,650 0 .0 0 .0 0 .1 9 6.5 0 .1 0 .9 1 .0 0 .1 0 .0 0 .3 1 .0 0 .1 0 .0 MIRANGINE 1 7,880 0 .0 0 .0 0 .1 9 8.7 0 .2 0 .3 0 .2 0 .1 0 .0 0 .2 0 .2 0 .0 0 .0 KIPIPIRI 2 5,077 0 .1 0 .0 0 .2 9 7.8 0 .2 0 .6 0 .5 0 .1 0 .0 0 .3 0 .1 0 .1 0 .0 NYANDARUA CENTRAL 2 1,852 0 .1 0 .0 0 .1 9 6.6 0 .1 1 .1 1 .3 0 .2 0 .0 0 .4 0 .1 0 .0 0 .0 NYANDARUA WEST 2 9,003 0 .0 0 .0 0 .1 9 7.1 0 .1 0 .7 1 .1 0 .2 0 .0 0 .3 0 .4 0 .0 0 .0 NYANDARUA NORTH 2 7,906 0 .2 0 .0 0 .1 9 7.5 0 .1 0 .8 0 .5 0 .1 0 .0 0 .2 0 .5 0 .0 0 .0 ABERDARE NATIONAL PARK 9 - - - 1 00.0 - - - - - - - - - NYERI 2 44,564 0 .1 0 .0 0 .1 9 3.8 0 .1 1 .6 2 .9 0 .5 0 .0 0 .6 0 .2 0 .1 0 .0 TETU 2 4,122 0 .0 - 0 .0 9 8.0 0 .1 0 .6 0 .3 0 .3 - 0 .5 0 .1 0 .1 0 .0 KIENI EAST 3 6,751 0 .5 0 .1 0 .1 9 5.2 0 .1 1 .4 1 .6 0 .2 0 .0 0 .5 0 .4 0 .1 0 .0 KIENI WEST 2 7,530 0 .1 0 .0 0 .1 9 8.2 0 .1 0 .7 0 .3 0 .2 0 .0 0 .2 0 .1 0 .1 0 .0 MATHIRA EAST 3 3,945 0 .0 0 .0 0 .1 9 1.0 0 .1 1 .9 5 .7 0 .5 0 .0 0 .5 0 .1 0 .0 0 .0 MATHIRA WEST 1 8,892 0 .2 0 .0 0 .1 9 7.2 0 .1 0 .7 0 .3 0 .4 - 0 .7 0 .2 0 .1 0 .0 NYERI SOUTH 2 8,103 - 0 .0 0 .1 9 4.9 0 .2 1 .2 2 .2 0 .3 0 .0 0 .6 0 .4 0 .0 0 .0 MUKURWE-INI 2 7,036 0 .0 0 .0 0 .1 9 5.4 0 .2 1 .4 2 .3 0 .2 0 .0 0 .3 0 .0 0 .0 0 .0 NYERI CENTRAL 4 8,036 0 .0 0 .0 0 .0 8 7.5 0 .1 3 .1 6 .5 1 .3 0 .0 0 .9 0 .4 0 .1 0 .0 MT. KENYA FOREST 1 01 1 5.8 5 .0 - 3 1.7 - 9 .9 - - 1 .0 2 .0 6 .9 2 7.7 - ABERDARE FOREST 4 8 - - - 1 00.0 - - - - - - - - - KIRINYAGA 2 03,576 0 .0 0 .0 0 .1 9 5.0 0 .1 1 .5 2 .2 0 .2 0 .0 0 .7 0 .1 0 .0 0 .0 KIRINYAGA CENTRAL 4 0,149 0 .0 0 .0 0 .0 9 4.5 0 .1 1 .5 2 .5 0 .4 - 0 .8 0 .1 0 .1 0 .0 KIRINYAGA EAST 4 4,509 0 .0 0 .0 0 .1 9 5.5 0 .1 1 .8 1 .2 0 .2 0 .0 1 .0 0 .0 0 .0 0 .0 KIRINYAGA WEST 3 7,951 0 .0 0 .0 0 .1 9 4.5 0 .1 1 .2 2 .8 0 .3 - 0 .8 0 .3 0 .0 0 .0 MWEA EAST 4 6,331 0 .0 0 .0 0 .1 9 4.5 0 .1 1 .2 3 .2 0 .2 0 .0 0 .5 0 .0 0 .0 0 .0 MWEA WEST 3 4,613 0 .0 0 .0 0 .2 9 6.0 0 .1 1 .7 1 .3 0 .1 0 .0 0 .6 0 .0 0 .0 0 .0 MT. KENYA FOREST 2 3 - - - 1 00.0 - - - - - - - - - 269

Page 283

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated MURANG’A 3 17,496 0 .0 0 .0 0 .2 9 3.5 0 .2 1 .5 3 .5 0 .3 0 .0 0 .6 0 .1 0 .0 0 .0 MURANG’A EAST 3 4,650 0 .0 0 .0 0 .1 8 5.3 0 .2 1 .8 1 1.1 0 .4 0 .0 0 .6 0 .4 0 .0 0 .0 KANGEMA 2 5,283 - 0 .0 0 .1 9 6.6 0 .2 1 .0 1 .4 0 .1 0 .0 0 .4 0 .1 0 .0 - MATHIOYA 2 8,372 0 .0 0 .0 0 .1 9 6.7 0 .2 0 .6 1 .5 0 .5 0 .0 0 .3 0 .0 0 .0 0 .0 KAHURO 2 6,778 0 .0 0 .0 0 .1 9 6.0 0 .1 1 .0 2 .1 0 .2 - 0 .4 0 .1 0 .0 0 .0 MURANG’A SOUTH 5 5,878 0 .0 0 .0 0 .3 9 2.2 0 .1 1 .8 4 .6 0 .2 0 .0 0 .6 0 .1 0 .0 0 .0 GATANGA 5 5,340 0 .0 0 .0 0 .1 9 4.9 0 .1 1 .6 1 .0 0 .7 0 .0 1 .3 0 .1 0 .1 0 .0 KIGUMO 4 0,528 0 .0 0 .0 0 .2 9 3.4 0 .2 1 .7 3 .8 0 .2 0 .0 0 .4 0 .2 0 .0 0 .0 KANDARA 5 0,657 0 .0 0 .0 0 .2 9 4.6 0 .2 1 .8 2 .2 0 .2 0 .0 0 .5 0 .1 0 .0 0 .0 ABERDARE FOREST 1 0 - - - 1 00.0 - - - - - - - - - KIAMBU 7 92,333 0 .0 0 .0 0 .0 7 6.5 0 .1 1 .8 1 8.0 1 .4 0 .0 1 .4 0 .5 0 .1 0 .0 GATUNDU NORTH 3 1,452 0 .0 0 .0 0 .1 9 5.5 0 .1 0 .9 1 .9 0 .4 0 .0 0 .8 0 .1 0 .2 0 .0 GATUNDU SOUTH 3 5,577 - 0 .0 0 .1 9 4.1 0 .1 1 .7 2 .7 0 .4 0 .0 0 .6 0 .2 0 .1 0 .0 GITHUNGURI 4 9,414 0 .0 0 .0 0 .0 9 2.0 0 .1 1 .5 4 .8 0 .6 0 .0 0 .7 0 .2 0 .1 0 .0 JUJA 1 04,042 0 .0 0 .0 0 .0 6 9.8 0 .1 2 .4 2 4.2 0 .8 0 .0 2 .1 0 .3 0 .1 0 .0 KABETE 6 6,681 0 .0 0 .0 0 .1 8 3.2 0 .1 1 .5 1 2.3 1 .2 0 .0 0 .9 0 .6 0 .1 0 .0 KIAMBAA 8 0,316 0 .0 0 .0 0 .0 7 9.1 0 .1 1 .5 1 6.0 1 .2 0 .0 1 .1 0 .8 0 .1 0 .0 KIAMBU 4 6,816 - 0 .0 0 .0 7 1.1 0 .1 1 .4 2 0.9 2 .2 0 .0 3 .4 0 .7 0 .1 0 .1 KIKUYU 6 0,619 0 .0 0 .0 0 .0 7 6.0 0 .1 2 .3 1 7.5 2 .2 0 .0 1 .0 0 .7 0 .1 0 .0 LARI 3 8,585 0 .0 0 .0 0 .0 9 4.1 0 .1 1 .5 1 .9 0 .5 0 .0 0 .7 1 .0 0 .0 0 .0 LIMURU 4 9,096 0 .0 0 .0 0 .0 8 8.4 0 .1 1 .4 7 .5 1 .1 0 .0 0 .9 0 .4 0 .1 0 .0 RUIRU 1 27,910 0 .0 0 .0 0 .0 5 4.3 0 .1 1 .9 3 8.5 2 .3 0 .0 2 .2 0 .6 0 .1 0 .0 THIKA EAST 1 2,736 0 .0 - 0 .1 9 1.3 0 .0 3 .4 3 .7 0 .1 - 1 .2 0 .1 0 .1 0 .0 THIKA WEST 8 9,089 0 .0 0 .0 0 .1 7 3.2 0 .1 2 .2 2 0.4 2 .2 0 .0 1 .2 0 .6 0 .1 0 .0 TURKANA 1 62,627 4 1.3 1 9.5 1 .2 3 3.1 0 .3 0 .4 0 .3 0 .0 0 .9 0 .1 2 .8 0 .0 0 .1 KIBISH 5 ,699 8 3.1 0 .6 2 .3 3 .3 0 .1 0 .1 0 .1 - 1 .3 - 9 .1 - - LOIMA 1 9,139 5 3.5 3 7.3 1 .2 5 .6 0 .1 0 .0 0 .0 - 1 .1 - 1 .0 0 .0 0 .1 TURKANA CENTRAL 3 7,917 3 4.6 1 8.6 0 .5 4 4.3 0 .1 0 .9 0 .6 0 .1 0 .1 0 .2 0 .1 0 .0 0 .0 TURKANA EAST 1 7,887 3 7.8 4 4.0 2 .3 1 5.0 0 .2 0 .2 0 .3 0 .0 0 .1 0 .0 0 .0 0 .0 0 .1 TURKANA NORTH 1 2,964 7 3.9 1 0.7 0 .2 8 .2 0 .4 0 .2 0 .1 0 .0 0 .6 - 5 .8 - 0 .0 TURKANA SOUTH 2 4,281 2 9.0 2 3.3 1 .8 4 1.6 0 .3 0 .4 0 .3 0 .1 0 .5 0 .0 2 .7 - 0 .1 TURKANA WEST 4 4,740 3 5.2 5 .8 1 .2 4 9.0 0 .7 0 .3 0 .4 0 .0 2 .0 0 .0 5 .2 0 .0 0 .1 270

Page 284

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated WEST POKOT 1 15,761 5 0.1 0 .6 2 .9 4 5.3 0 .1 0 .3 0 .2 0 .1 0 .0 0 .1 0 .1 0 .1 0 .0 KIPKOMO 1 8,367 3 7.1 1 .2 2 .5 5 8.7 0 .1 0 .1 0 .1 0 .0 0 .0 0 .0 0 .0 0 .1 - POKOT CENTRAL 2 1,784 6 1.9 0 .4 1 .9 3 5.0 0 .1 0 .2 0 .1 0 .0 0 .1 0 .0 0 .3 - 0 .0 POKOT NORTH 2 5,736 7 6.3 0 .8 5 .0 1 7.3 0 .1 0 .3 0 .1 0 .0 0 .0 - 0 .0 0 .0 0 .1 POKOT SOUTH 1 3,752 5 0.3 0 .8 2 .9 4 4.8 0 .1 0 .3 0 .2 0 .0 0 .0 0 .0 0 .1 0 .4 - WEST POKOT 3 6,122 3 0.9 0 .3 2 .2 6 4.8 0 .1 0 .5 0 .5 0 .3 0 .0 0 .3 0 .0 0 .0 0 .0 SAMBURU 6 3,951 2 1.7 6 .7 1 9.7 3 1.1 0 .3 0 .8 0 .5 0 .0 0 .1 0 .1 1 9.0 0 .1 0 .0 SAMBURU CENTRAL 3 3,720 1 7.0 8 .5 2 5.9 4 0.5 0 .2 1 .2 0 .6 0 .1 0 .1 0 .1 5 .7 0 .1 0 .0 SAMBURU EAST 1 7,307 1 9.3 4 .3 1 4.6 2 3.1 0 .2 0 .4 0 .3 0 .0 0 .1 0 .1 3 7.5 0 .0 - SAMBURU NORTH 1 2,924 3 7.1 5 .2 1 0.3 1 7.3 0 .7 0 .0 0 .3 0 .0 0 .0 0 .0 2 9.0 0 .0 0 .0 TRANS NZOIA 2 22,989 2 .3 0 .1 0 .9 9 4.0 0 .1 1 .0 0 .6 0 .6 0 .0 0 .2 0 .1 0 .0 0 .0 TRANS NZOIA WEST 4 7,576 1 .4 0 .0 0 .6 9 3.4 0 .1 1 .7 1 .1 1 .2 0 .0 0 .2 0 .2 0 .0 0 .0 TRANS NZOIA EAST 4 9,955 1 .4 0 .1 1 .2 9 5.6 0 .1 0 .9 0 .2 0 .2 0 .0 0 .3 0 .2 0 .0 0 .0 KWANZA 4 5,599 1 .3 0 .0 1 .2 9 5.6 0 .1 0 .6 0 .6 0 .3 0 .0 0 .2 0 .0 0 .0 0 .0 ENDEBESS 2 3,246 1 2.9 0 .2 1 .0 8 5.0 0 .1 0 .3 0 .1 0 .2 0 .0 0 .1 0 .1 0 .0 0 .0 KIMININI 5 6,613 0 .2 0 .1 0 .8 9 5.6 0 .2 1 .2 0 .7 0 .7 0 .0 0 .4 0 .1 0 .0 0 .0 UASIN GISHU 3 01,110 0 .9 0 .1 0 .4 9 2.8 0 .1 1 .6 1 .5 1 .8 0 .0 0 .6 0 .2 0 .0 0 .0 AINABKOI 3 4,862 1 .2 0 .1 0 .2 8 8.2 0 .1 1 .6 1 .2 6 .5 0 .0 0 .7 0 .2 0 .0 0 .0 KAPSERET 5 9,678 0 .1 0 .0 0 .3 9 2.0 0 .1 1 .1 3 .0 2 .1 0 .0 0 .9 0 .3 0 .0 0 .0 KESSES 3 4,623 1 .2 0 .1 0 .3 9 5.8 0 .1 0 .9 0 .4 0 .4 0 .0 0 .6 0 .2 0 .0 0 .0 MOIBEN 4 6,602 2 .0 0 .1 0 .4 9 3.1 0 .1 1 .4 1 .4 0 .8 0 .0 0 .6 0 .1 0 .0 0 .0 SOY 5 3,758 1 .0 0 .1 0 .5 9 4.9 0 .1 1 .6 0 .6 0 .7 0 .0 0 .4 0 .1 0 .0 0 .0 TURBO 7 1,587 0 .6 0 .0 0 .4 9 2.6 0 .1 2 .6 1 .6 1 .3 0 .0 0 .4 0 .2 0 .0 0 .0 ELGEYO/MARAKWET 9 9,119 1 6.6 0 .2 0 .9 8 0.4 0 .1 0 .8 0 .3 0 .2 0 .0 0 .1 0 .1 0 .2 0 .0 KEIYO NORTH 2 1,749 8 .1 0 .1 0 .2 8 8.6 0 .1 1 .5 0 .2 0 .7 0 .0 0 .4 0 .2 0 .0 0 .0 KEIYO SOUTH 2 6,740 8 .4 0 .2 0 .3 8 8.9 0 .2 1 .3 0 .2 0 .2 0 .0 0 .1 0 .1 0 .0 0 .0 MARAKWET EAST 2 1,123 4 1.7 0 .3 1 .7 5 5.2 0 .1 0 .2 0 .5 0 .0 0 .0 0 .0 0 .0 0 .2 0 .0 MARAKWET WEST 2 9,507 1 2.2 0 .2 1 .3 8 4.7 0 .1 0 .3 0 .3 0 .1 0 .1 0 .0 0 .2 0 .5 0 .0 NANDI 1 99,040 2 .0 0 .1 0 .8 9 5.0 0 .1 1 .1 0 .3 0 .3 0 .0 0 .3 0 .0 0 .0 0 .0 CHESUMEI 3 9,011 0 .7 0 .0 0 .7 9 5.5 0 .1 1 .3 0 .4 0 .5 0 .0 0 .5 0 .1 0 .0 0 .0 NANDI CENTRAL 3 4,247 1 .2 0 .1 0 .9 9 5.1 0 .1 1 .3 0 .4 0 .6 0 .0 0 .2 0 .1 0 .0 0 .0 NANDI EAST 2 9,249 0 .9 0 .0 0 .4 9 7.0 0 .1 0 .6 0 .5 0 .2 0 .0 0 .2 0 .1 0 .0 0 .0 271

Page 285

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated NANDI NORTH 3 5,257 2 .3 0 .1 0 .9 9 4.9 0 .1 1 .1 0 .1 0 .1 0 .0 0 .3 0 .0 0 .0 0 .0 NANDI SOUTH 3 7,038 2 .4 0 .1 0 .9 9 5.1 0 .1 1 .0 0 .1 0 .1 0 .0 0 .1 0 .0 0 .0 0 .0 TINDERET 2 4,238 5 .7 0 .1 0 .8 9 1.9 0 .1 0 .9 0 .2 0 .1 0 .0 0 .1 0 .0 0 .0 0 .0 BARINGO 1 41,877 2 2.3 0 .4 1 .2 7 4.3 0 .1 0 .8 0 .3 0 .3 0 .0 0 .1 0 .2 0 .0 0 .0 BARINGO CENTRAL 2 3,523 6 .4 0 .1 0 .2 9 0.5 0 .1 1 .3 0 .6 0 .6 0 .0 0 .3 0 .0 0 .0 0 .0 BARINGO NORTH 2 3,345 2 1.5 0 .1 0 .3 7 7.4 0 .1 0 .3 0 .1 0 .1 - 0 .0 0 .0 0 .0 0 .0 EAST POKOT 1 4,392 7 5.6 1 .6 7 .2 1 4.6 0 .1 0 .2 0 .4 0 .0 0 .1 0 .0 0 .0 - - KOIBATEK 3 0,752 2 .8 0 .1 0 .2 9 3.8 0 .1 1 .6 0 .3 0 .4 0 .0 0 .2 0 .4 0 .0 0 .0 MARIGAT 1 9,658 1 4.0 0 .3 0 .4 8 4.1 0 .1 0 .6 0 .1 0 .1 0 .0 0 .0 0 .1 0 .0 0 .0 MOGOTIO 1 8,169 7 .0 0 .1 0 .3 9 1.1 0 .1 0 .3 0 .6 0 .3 0 .0 0 .2 0 .0 - - TIATY EAST 1 2,038 7 8.0 1 .1 2 .3 1 7.2 0 .0 0 .3 0 .1 0 .0 0 .2 - 0 .8 - 0 .0 LAIKIPIA 1 45,776 5 .4 0 .2 1 .4 8 6.4 0 .2 1 .1 2 .5 0 .5 0 .1 0 .3 1 .9 0 .0 0 .0 LAIKIPIA CENTRAL 2 9,877 0 .2 0 .1 0 .1 9 5.3 0 .1 0 .9 2 .6 0 .1 0 .0 0 .4 0 .1 0 .0 0 .0 LAIKIPIA EAST 3 1,311 2 .6 0 .4 0 .2 8 6.8 0 .4 1 .3 4 .5 1 .4 0 .1 0 .6 1 .7 0 .0 0 .0 LAIKIPIA NORTH 7 ,694 3 5.8 0 .5 1 5.6 3 4.8 0 .2 0 .4 0 .9 0 .1 0 .7 0 .0 1 0.9 0 .0 0 .0 LAIKIPIA WEST 3 2,821 1 2.1 0 .3 1 .9 8 0.3 0 .1 0 .9 0 .2 0 .0 0 .3 0 .0 3 .7 0 .0 0 .0 NYAHURURU 4 4,073 0 .6 0 .0 0 .1 9 3.7 0 .1 1 .3 3 .1 0 .5 0 .0 0 .2 0 .2 0 .0 0 .0 NAKURU 5 98,237 1 .8 0 .1 0 .3 9 1.1 0 .1 1 .6 2 .9 0 .9 0 .1 0 .4 0 .7 0 .1 0 .0 GILGIL 4 9,405 0 .4 0 .1 0 .2 9 3.7 0 .1 1 .4 2 .2 0 .7 0 .0 0 .4 0 .7 0 .1 0 .0 KURESOI NORTH 4 0,168 7 .7 0 .5 0 .4 8 9.9 0 .1 0 .6 0 .2 0 .1 0 .1 0 .1 0 .2 0 .1 0 .0 KURESOI SOUTH 3 4,543 1 3.3 0 .5 0 .5 8 3.5 0 .1 0 .9 0 .2 0 .1 0 .0 0 .2 0 .8 0 .0 0 .0 MOLO 4 1,439 0 .6 0 .1 0 .3 9 5.7 0 .1 1 .5 0 .6 0 .3 0 .1 0 .1 0 .5 0 .1 0 .0 NAIVASHA 1 11,493 0 .6 0 .1 0 .2 9 1.5 0 .1 1 .5 3 .9 0 .6 0 .1 0 .5 1 .0 0 .0 0 .0 NAKURU EAST 6 0,066 0 .0 0 .0 0 .1 8 0.2 0 .1 4 .3 1 0.0 3 .2 0 .1 0 .8 0 .9 0 .2 0 .0 NAKURU NORTH 6 1,582 0 .0 0 .0 0 .2 9 5.7 0 .1 0 .9 1 .8 0 .4 0 .0 0 .5 0 .5 0 .0 0 .0 NAKURU WEST 6 4,429 0 .0 0 .0 0 .2 8 8.8 0 .1 2 .0 5 .0 1 .7 0 .0 0 .8 1 .3 0 .0 0 .0 NJORO 6 1,156 1 .9 0 .1 0 .6 9 4.3 0 .1 1 .3 0 .7 0 .2 0 .0 0 .2 0 .5 0 .0 0 .0 RONGAI 5 2,248 0 .6 0 .0 0 .3 9 4.7 0 .1 0 .9 1 .3 1 .2 0 .0 0 .6 0 .3 0 .0 0 .0 SUBUKIA 2 1,708 1 .3 0 .1 0 .1 9 6.3 0 .1 1 .2 0 .3 0 .1 0 .0 0 .2 0 .0 0 .0 0 .0 NAROK 2 38,115 1 4.6 0 .6 6 .3 7 4.7 0 .2 0 .8 0 .4 0 .1 0 .4 0 .1 1 .7 0 .0 0 .0 NAROK EAST 2 4,860 9 .9 1 .2 5 .2 7 2.3 0 .4 1 .0 0 .6 0 .0 2 .0 0 .0 7 .3 0 .0 0 .0 NAROK NORTH 5 9,802 1 .5 0 .5 0 .8 9 2.4 0 .2 1 .1 1 .0 0 .2 0 .4 0 .1 1 .9 0 .0 0 .0 NAROK SOUTH 4 6,549 1 4.8 0 .4 1 1.6 7 0.6 0 .2 0 .7 0 .2 0 .0 0 .2 0 .0 1 .2 0 .0 0 .0 NAROK WEST 3 7,782 9 .4 0 .4 1 9.4 6 8.8 0 .1 0 .5 0 .2 0 .0 0 .2 0 .0 0 .7 0 .0 0 .0 272

Page 286

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated TRANS MARA EAST 2 0,439 5 0.5 0 .4 0 .9 4 7.4 0 .0 0 .7 0 .0 0 .0 - 0 .0 0 .0 0 .0 0 .0 TRANS MARA WEST 4 8,683 2 2.1 1 .1 0 .8 7 4.1 0 .1 0 .6 0 .2 0 .0 0 .2 0 .1 0 .5 0 .0 0 .0 MAU FOREST - - - - - - - - - - - - - - KAJIADO 3 13,218 6 .1 0 .2 3 .4 6 9.4 0 .2 2 .0 1 3.9 2 .1 0 .1 1 .2 1 .3 0 .0 0 .0 ISINYA 7 1,395 0 .1 0 .1 0 .1 6 3.8 0 .2 2 .9 2 7.9 2 .3 0 .1 2 .1 0 .4 0 .0 0 .1 KAJIADO CENTRAL 3 7,059 1 1.9 0 .2 1 2.7 7 0.9 0 .2 1 .7 1 .1 0 .2 0 .1 0 .2 0 .7 0 .1 0 .0 KAJIADO NORTH 1 00,908 0 .0 0 .0 0 .0 7 0.1 0 .1 1 .8 2 0.7 4 .2 0 .0 1 .7 1 .2 0 .1 0 .0 KAJIADO WEST 4 2,367 1 9.3 0 .8 9 .8 6 1.3 0 .2 1 .5 4 .6 1 .1 0 .0 0 .7 0 .6 0 .0 0 .0 LOITOKITOK 4 5,581 1 4.1 0 .5 2 .7 7 6.0 0 .2 1 .5 0 .5 0 .2 0 .3 0 .2 3 .8 0 .0 0 .0 MASHUURU 1 5,908 1 .1 0 .1 3 .0 8 9.3 0 .2 1 .9 1 .7 0 .4 0 .2 0 .2 1 .7 0 .0 0 .0 KERICHO 2 05,932 2 .2 0 .1 0 .5 9 4.5 0 .1 0 .9 0 .9 0 .2 0 .0 0 .3 0 .1 0 .0 0 .0 BELGUT 3 4,978 1 .1 0 .1 0 .6 9 3.9 0 .1 1 .4 2 .2 0 .2 - 0 .4 0 .0 0 .0 0 .0 BURETI 4 3,098 1 .5 0 .2 0 .6 9 5.3 0 .1 1 .3 0 .3 0 .2 0 .0 0 .4 0 .1 0 .0 0 .0 KERICHO EAST 4 4,246 1 .4 0 .0 0 .2 9 4.2 0 .1 0 .9 2 .1 0 .5 0 .1 0 .3 0 .1 0 .0 0 .1 KIPKELION 2 4,676 3 .4 0 .3 0 .1 9 5.3 0 .1 0 .3 0 .1 0 .1 0 .0 0 .1 0 .0 0 .2 0 .0 LONDIANI 3 1,739 2 .0 0 .1 0 .5 9 6.1 0 .1 0 .7 0 .2 0 .1 0 .0 0 .2 0 .0 0 .0 0 .0 SOIN SIGOWET 2 7,195 5 .3 0 .1 1 .1 9 1.9 0 .2 0 .7 0 .2 0 .2 0 .0 0 .2 0 .0 0 .0 0 .0 BOMET 1 87,230 6 .8 0 .2 0 .6 9 0.5 0 .1 0 .6 0 .7 0 .2 0 .0 0 .1 0 .1 0 .0 0 .0 BOMET EAST 2 9,897 6 .2 0 .2 0 .9 9 1.9 0 .1 0 .4 0 .1 0 .0 0 .0 0 .1 0 .0 - 0 .0 CHEPALUNGU 3 3,850 1 6.7 0 .2 0 .7 8 1.6 0 .1 0 .5 0 .1 0 .0 0 .0 0 .0 0 .0 0 .0 0 .0 KONOIN 3 8,123 1 .1 0 .1 0 .3 9 4.6 0 .1 1 .3 2 .2 0 .1 0 .0 0 .2 0 .1 0 .0 0 .0 SOTIK 4 7,265 8 .0 0 .2 0 .7 8 9.3 0 .1 0 .6 0 .3 0 .6 0 .0 0 .2 0 .1 0 .0 0 .0 BOMET CENTRAL 3 8,095 2 .8 0 .2 0 .4 9 5.0 0 .1 0 .4 0 .8 0 .1 0 .0 0 .1 0 .1 - 0 .0 KAKAMEGA 4 32,284 3 .7 0 .1 1 .1 9 3.3 0 .1 0 .8 0 .4 0 .1 0 .0 0 .2 0 .1 0 .0 0 .0 BUTERE 3 6,243 4 .8 0 .2 1 .3 9 2.2 0 .1 0 .8 0 .2 0 .1 0 .0 0 .2 0 .0 0 .0 0 .0 KAKAMEGA CENTRAL 5 1,956 0 .4 0 .0 0 .6 9 4.4 0 .1 1 .6 1 .8 0 .4 0 .0 0 .3 0 .3 0 .0 0 .0 KAKAMEGA EAST 3 9,589 1 .9 0 .2 1 .8 9 4.5 0 .1 0 .8 0 .4 0 .2 0 .0 0 .1 0 .0 0 .0 0 .1 KAKAMEGA NORTH 5 0,952 8 .4 0 .1 0 .9 8 9.7 0 .1 0 .4 0 .1 0 .0 0 .0 0 .1 0 .0 0 .0 0 .0 KAKAMEGA SOUTH 2 6,940 0 .3 0 .1 1 .7 9 7.0 0 .0 0 .4 0 .2 0 .1 0 .0 0 .1 0 .0 0 .0 0 .0 KHWISERO 2 7,681 2 .0 0 .1 1 .0 9 5.6 0 .1 0 .5 0 .3 0 .1 0 .0 0 .1 0 .1 0 .0 0 .0 LIKUYANI 3 4,776 0 .3 0 .0 1 .1 9 6.5 0 .2 0 .9 0 .3 0 .2 0 .0 0 .3 0 .0 0 .0 0 .0 LUGARI 2 7,817 0 .2 0 .0 1 .2 9 6.3 0 .1 1 .2 0 .3 0 .2 0 .0 0 .4 0 .1 - 0 .0 MATETE 1 3,956 4 .1 0 .1 1 .3 9 3.4 0 .1 0 .7 0 .2 0 .1 0 .0 0 .1 - - - MATUNGU 3 6,414 8 .1 0 .2 1 .4 8 9.0 0 .1 0 .6 0 .2 0 .1 0 .0 0 .3 0 .0 0 .0 0 .0 273

Page 287

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated MUMIAS EAST 2 5,995 3 .9 0 .1 0 .8 9 3.9 0 .1 0 .7 0 .2 0 .1 - 0 .2 0 .0 0 .0 0 .0 MUMIAS WEST 2 7,650 5 .5 0 .1 0 .8 9 1.1 0 .1 1 .4 0 .4 0 .2 0 .0 0 .2 0 .2 - 0 .0 NAVAKHOLO 3 2,315 6 .5 0 .2 1 .0 9 1.4 0 .1 0 .4 0 .1 0 .1 0 .0 0 .1 0 .0 - 0 .0 VIHIGA 1 43,288 0 .2 0 .1 0 .9 9 7.4 0 .1 0 .4 0 .4 0 .2 0 .0 0 .2 0 .1 0 .0 0 .0 EMUHAYA 2 3,803 0 .3 0 .1 0 .9 9 8.0 0 .1 0 .2 0 .1 0 .1 - 0 .1 0 .0 - 0 .0 VIHIGA 2 3,359 0 .2 0 .1 1 .0 9 6.9 0 .1 0 .4 0 .7 0 .3 0 .0 0 .2 0 .1 - 0 .0 SABATIA 3 1,391 0 .2 0 .1 0 .8 9 7.0 0 .1 0 .6 0 .6 0 .4 0 .0 0 .2 0 .1 0 .0 0 .0 LUANDA 2 6,766 0 .3 0 .0 0 .8 9 7.7 0 .1 0 .2 0 .4 0 .1 - 0 .1 0 .1 - 0 .0 HAMISI 3 7,965 0 .2 0 .1 0 .9 9 7.4 0 .1 0 .5 0 .3 0 .1 0 .0 0 .2 0 .1 0 .0 0 .0 KAKAMEGA FOREST 4 2 5.0 - - 7 5.0 - - - - - - - - - BUNGOMA 3 57,714 2 .0 0 .1 1 .2 9 4.8 0 .1 0 .9 0 .4 0 .2 0 .0 0 .2 0 .1 0 .0 0 .0 BUMULA 4 4,922 4 .5 0 .2 1 .4 9 2.9 0 .2 0 .6 0 .2 0 .0 0 .0 0 .1 0 .0 0 .0 0 .0 BUNGOMA CENTRAL 3 7,535 0 .6 0 .1 1 .0 9 6.9 0 .2 0 .7 0 .2 0 .1 0 .0 0 .2 0 .1 0 .0 0 .0 BUNGOMA EAST 2 4,798 0 .2 0 .0 1 .4 9 5.9 0 .1 1 .7 0 .3 0 .1 0 .0 0 .1 0 .0 0 .2 0 .0 BUNGOMA NORTH 2 4,940 0 .1 0 .0 1 .2 9 6.9 0 .1 1 .1 0 .2 0 .1 - 0 .2 0 .0 0 .0 0 .0 BUNGOMA SOUTH 6 9,088 0 .7 0 .1 1 .1 9 5.0 0 .1 1 .2 1 .0 0 .3 0 .0 0 .4 0 .1 0 .0 0 .0 CHEPTAIS 2 6,007 7 .4 0 .3 1 .2 8 9.7 0 .1 0 .6 0 .1 0 .0 0 .0 0 .1 0 .4 0 .0 0 .0 KIMILILI 3 5,053 0 .1 0 .1 1 .5 9 6.4 0 .2 0 .6 0 .5 0 .2 0 .0 0 .2 0 .2 0 .0 0 .0 MT. ELGON 1 5,230 5 .0 0 .2 0 .7 9 2.4 0 .1 0 .8 0 .3 0 .1 0 .1 0 .1 0 .1 - 0 .0 BUNGOMA WEST 2 5,166 3 .3 0 .2 0 .9 9 4.4 0 .2 0 .7 0 .1 0 .1 - 0 .1 0 .0 0 .0 0 .0 TONGAREN 2 1,343 0 .2 0 .0 0 .6 9 7.6 0 .1 0 .9 0 .1 0 .2 0 .0 0 .2 0 .0 0 .0 0 .0 WEBUYE WEST 3 2,834 0 .4 0 .0 1 .2 9 6.5 0 .1 0 .7 0 .3 0 .3 0 .0 0 .3 0 .0 0 .0 0 .0 MT. ELGON FOREST 7 98 9 3.4 0 .3 0 .3 5 .6 - - - - - - 0 .5 - - BUSIA 1 97,944 1 0.8 0 .2 0 .5 8 6.6 0 .1 0 .8 0 .5 0 .1 0 .0 0 .2 0 .1 0 .0 0 .0 BUNYALA 1 9,028 9 .8 0 .3 0 .2 8 8.2 0 .1 0 .6 0 .2 0 .1 0 .1 0 .2 0 .3 0 .0 0 .0 BUSIA 3 3,152 5 .7 0 .2 0 .5 9 0.6 0 .1 1 .3 0 .9 0 .2 0 .0 0 .3 0 .2 0 .0 0 .0 BUTULA 3 2,199 1 2.2 0 .2 0 .6 8 5.8 0 .1 0 .5 0 .2 0 .1 0 .0 0 .2 0 .0 0 .0 0 .0 NAMBALE 2 3,889 8 .7 0 .2 0 .7 8 8.7 0 .1 1 .0 0 .4 0 .1 0 .0 0 .1 0 .0 0 .0 0 .0 SAMIA 2 3,813 1 1.4 0 .4 0 .6 8 6.2 0 .1 0 .6 0 .2 0 .2 - 0 .4 0 .0 0 .0 - TESO NORTH 2 9,314 1 2.7 0 .1 0 .4 8 4.8 0 .1 0 .6 0 .9 0 .2 0 .0 0 .1 0 .1 0 .0 0 .0 TESO SOUTH 3 6,549 1 4.0 0 .2 0 .5 8 3.1 0 .1 0 .9 0 .6 0 .1 0 .0 0 .3 0 .1 0 .0 0 .0 274

Page 288

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated SIAYA 2 49,341 4 .4 0 .2 0 .4 9 2.9 0 .1 0 .8 0 .4 0 .2 0 .0 0 .4 0 .1 0 .0 0 .0 SIAYA 5 7,386 5 .4 0 .2 0 .4 9 1.4 0 .2 1 .2 0 .4 0 .3 0 .0 0 .4 0 .1 0 .0 0 .1 GEM 4 4,696 4 .4 0 .2 0 .4 9 3.4 0 .1 0 .5 0 .3 0 .2 0 .0 0 .3 0 .0 0 .0 0 .0 UGENYA 3 3,554 8 .2 0 .2 0 .4 8 9.3 0 .1 1 .0 0 .2 0 .1 0 .0 0 .4 0 .0 0 .0 0 .0 UGUNJA 2 6,321 5 .7 0 .1 0 .6 9 1.6 0 .1 0 .8 0 .3 0 .3 0 .0 0 .3 0 .0 0 .0 0 .0 BONDO 5 0,454 1 .3 0 .1 0 .4 9 5.7 0 .1 0 .7 0 .7 0 .2 0 .0 0 .6 0 .0 0 .0 0 .0 RARIEDA 3 6,930 2 .6 0 .2 0 .4 9 5.1 0 .2 0 .7 0 .3 0 .1 0 .0 0 .3 0 .0 0 .0 0 .1 KISUMU 2 96,846 0 .4 0 .1 0 .5 9 3.5 0 .1 1 .5 2 .5 0 .7 0 .0 0 .5 0 .2 0 .0 0 .0 KISUMU EAST 6 1,499 0 .1 0 .1 0 .3 9 5.3 0 .1 0 .7 2 .3 0 .2 0 .0 0 .5 0 .3 0 .0 0 .0 KISUMU CENTRAL 5 2,163 0 .0 0 .0 0 .1 8 2.1 0 .1 4 .3 9 .4 2 .8 0 .0 0 .7 0 .4 0 .1 0 .0 KISUMU WEST 4 2,785 0 .3 0 .0 0 .4 9 5.9 0 .1 0 .8 1 .0 0 .7 0 .0 0 .7 0 .1 0 .0 0 .0 SEME 2 9,404 1 .2 0 .1 0 .5 9 6.4 0 .2 0 .8 0 .3 0 .1 0 .0 0 .3 0 .0 0 .0 0 .0 MUHORONI 3 6,982 1 .4 0 .1 0 .6 9 5.4 0 .1 1 .3 0 .6 0 .3 - 0 .2 0 .0 0 .0 0 .0 NYANDO 3 8,460 0 .3 0 .0 1 .1 9 6.9 0 .1 0 .5 0 .3 0 .1 0 .0 0 .5 0 .0 0 .0 0 .0 NYAKACH 3 5,553 0 .3 0 .0 1 .1 9 6.2 0 .1 1 .2 0 .4 0 .2 0 .0 0 .4 0 .0 0 .0 0 .0 HOMA BAY 2 60,290 0 .9 0 .1 0 .7 9 6.3 0 .2 0 .8 0 .4 0 .1 0 .0 0 .4 0 .1 0 .0 0 .0 HOMA BAY 2 8,471 0 .1 0 .0 0 .3 9 6.4 0 .2 1 .1 1 .0 0 .3 0 .0 0 .5 0 .2 0 .0 0 .0 NDHIWA 4 7,956 1 .7 0 .1 0 .8 9 5.8 0 .2 0 .8 0 .2 0 .1 0 .0 0 .3 0 .0 0 .0 0 .0 RACHUONYO NORTH 4 1,661 0 .2 0 .0 0 .6 9 7.1 0 .2 0 .7 0 .4 0 .1 0 .0 0 .6 0 .0 0 .0 0 .0 RACHUONYO EAST 2 7,229 0 .3 0 .0 0 .8 9 7.4 0 .1 0 .6 0 .2 0 .1 - 0 .3 0 .0 0 .0 0 .0 RACHUONYO SOUTH 3 0,693 0 .2 0 .0 0 .8 9 6.1 0 .2 1 .1 0 .7 0 .1 0 .0 0 .6 0 .1 0 .0 0 .0 RANGWE 2 6,983 0 .3 0 .1 1 .2 9 6.2 0 .3 0 .9 0 .3 0 .1 0 .0 0 .6 0 .0 0 .0 0 .0 SUBA NORTH 2 9,662 0 .6 0 .1 0 .4 9 7.4 0 .2 0 .5 0 .4 0 .0 - 0 .2 0 .0 0 .0 0 .0 SUBA SOUTH 2 7,635 3 .6 0 .2 1 .1 9 3.6 0 .2 0 .6 0 .3 0 .1 0 .0 0 .3 0 .1 0 .0 0 .0 MIGORI 2 38,133 2 .5 0 .2 0 .9 9 4.1 0 .2 1 .0 0 .5 0 .1 0 .0 0 .4 0 .1 0 .0 0 .0 AWENDO 2 7,014 0 .2 0 .0 0 .8 9 5.2 0 .1 2 .6 0 .3 0 .2 0 .0 0 .4 0 .1 0 .1 0 .0 KURIA EAST 1 7,267 9 .0 0 .5 1 .7 8 6.8 0 .4 0 .9 0 .3 0 .1 0 .0 0 .2 0 .0 0 .0 0 .0 KURIA WEST 3 9,723 3 .4 0 .2 1 .1 9 3.6 0 .1 0 .7 0 .4 0 .1 0 .0 0 .2 0 .1 0 .0 0 .0 NYATIKE 3 9,358 4 .4 0 .3 0 .3 9 3.6 0 .2 0 .6 0 .2 0 .1 0 .0 0 .3 0 .0 0 .1 0 .0 RONGO 2 9,007 0 .2 0 .0 0 .8 9 6.4 0 .2 0 .7 0 .9 0 .2 0 .0 0 .6 0 .0 0 .0 0 .0 SUNA EAST 2 7,214 0 .8 0 .1 0 .8 9 4.5 0 .1 1 .3 1 .0 0 .2 0 .0 0 .8 0 .3 0 .0 0 .1 SUNA WEST 2 8,839 2 .5 0 .1 0 .5 9 4.2 0 .2 1 .0 0 .8 0 .2 0 .0 0 .3 0 .2 0 .0 0 .0 URIRI 2 9,711 0 .8 0 .1 1 .7 9 6.1 0 .2 0 .5 0 .3 0 .1 0 .0 0 .3 0 .0 0 .0 0 .0 275

Page 289

Table 2.12: Percentage Distribution of Conventional Households by Dominant Roofing Material of Main Dwelling Unit, Area of Residence, County and Sub-County Conventional Type of Roofing Material (%) Households County/ Sub-County Nylon/ Grass/ Makuti Dung / Iron Tin Asbestos Concrete/ Canvas/ Decra/ Cartons/ Not Twigs thatch Mud sheets cans sheet Cement Tiles Tents Versatile Cardboard Shingles Stated KISII 3 07,254 1 .0 0 .1 0 .9 9 5.3 0 .1 0 .5 1 .6 0 .2 0 .0 0 .3 0 .1 0 .0 0 .0 ETAGO 1 8,610 2 .2 0 .1 1 .4 9 5.3 0 .1 0 .3 0 .2 0 .1 - 0 .2 0 .0 0 .1 0 .0 GUCHA 1 9,621 0 .5 0 .1 1 .6 9 4.8 0 .1 1 .1 1 .2 0 .2 0 .0 0 .3 0 .1 0 .0 0 .0 GUCHA SOUTH 1 9,627 0 .4 0 .1 1 .3 9 6.5 0 .1 0 .5 0 .5 0 .1 - 0 .5 0 .0 0 .0 0 .0 KENYENYA 3 0,985 1 .7 0 .1 0 .9 9 6.3 0 .1 0 .2 0 .5 0 .1 - 0 .1 0 .0 0 .0 0 .0 KISII CENTRAL 4 4,037 0 .6 0 .1 0 .6 9 2.7 0 .1 0 .4 4 .4 0 .3 0 .0 0 .4 0 .3 0 .0 0 .0 KISII SOUTH 3 1,574 0 .4 0 .0 0 .7 9 6.8 0 .1 0 .3 1 .2 0 .1 0 .0 0 .3 0 .0 0 .0 0 .0 KITUTU CENTRAL 4 1,233 0 .2 0 .0 0 .5 9 3.6 0 .1 0 .6 4 .0 0 .2 - 0 .5 0 .1 0 .0 0 .0 MARANI 2 6,133 0 .7 0 .1 1 .5 9 6.4 0 .1 0 .8 0 .2 0 .0 0 .0 0 .1 0 .0 0 .0 0 .0 MASABA SOUTH 2 9,206 1 .9 0 .1 0 .4 9 6.5 0 .1 0 .3 0 .4 0 .1 - 0 .2 0 .0 0 .0 0 .0 NYAMACHE 3 0,583 2 .4 0 .2 1 .1 9 5.3 0 .2 0 .3 0 .4 0 .2 0 .0 0 .2 0 .0 0 .0 0 .0 SAMETA 1 5,645 0 .8 0 .2 0 .8 9 6.4 0 .2 0 .6 0 .3 0 .2 0 .0 0 .5 0 .0 0 .0 0 .0 NYAMIRA 1 50,499 0 .8 0 .1 1 .0 9 6.1 0 .1 0 .6 0 .8 0 .2 0 .0 0 .3 0 .1 0 .0 0 .0 BORABU 1 9,404 0 .6 0 .1 0 .7 9 5.0 0 .1 1 .1 1 .0 0 .9 0 .0 0 .4 0 .0 - 0 .0 MANGA 2 3,836 0 .8 0 .2 1 .1 9 6.4 0 .1 0 .5 0 .5 0 .1 0 .0 0 .3 - 0 .0 0 .0 MASABA NORTH 2 7,904 1 .8 0 .1 0 .8 9 5.6 0 .1 0 .4 0 .8 0 .1 0 .0 0 .3 0 .1 - 0 .0 NYAMIRA NORTH 4 0,396 0 .4 0 .0 1 .1 9 7.0 0 .1 0 .5 0 .3 0 .1 0 .0 0 .3 0 .1 0 .0 0 .0 NYAMIRA SOUTH 3 8,959 0 .4 0 .1 1 .2 9 5.7 0 .1 0 .6 1 .2 0 .2 0 .0 0 .3 0 .1 0 .0 0 .0 NAIROBI CITY 1 ,494,676 0 .0 0 .0 0 .1 5 1.3 0 .1 2 .5 3 9.4 4 .5 0 .1 1 .0 0 .8 0 .1 0 .1 DAGORETTI 1 54,949 0 .0 0 .0 0 .0 8 0.6 0 .1 1 .4 1 5.1 0 .9 0 .1 0 .5 1 .0 0 .1 0 .1 EMBAKASI 3 46,462 0 .0 0 .0 0 .0 3 8.0 0 .1 2 .4 5 4.7 3 .3 0 .0 0 .6 0 .7 0 .1 0 .0 KAMUKUNJI 8 3,680 0 .0 0 .0 0 .1 5 0.6 0 .1 1 .7 4 1.6 3 .6 0 .1 0 .8 1 .2 0 .1 0 .1 KASARANI 2 68,611 0 .0 0 .1 0 .0 3 9.4 0 .1 2 .6 5 3.8 2 .2 0 .0 0 .9 0 .8 0 .1 0 .0 KIBRA 6 1,651 0 .0 0 .0 0 .4 7 9.4 0 .1 3 .2 9 .9 5 .5 0 .1 0 .4 0 .8 0 .1 0 .0 LANG’ATA 6 0,187 0 .0 0 .0 0 .1 4 4.0 0 .1 3 .1 2 6.6 2 1.1 0 .1 3 .7 0 .8 0 .4 0 .1 MAKADARA 7 0,080 0 .0 0 .1 0 .0 5 7.0 0 .1 8 .0 1 9.5 1 1.9 0 .0 2 .2 1 .0 0 .2 0 .0 MATHARE 7 4,967 0 .1 0 .0 0 .1 5 2.6 0 .1 1 .2 4 4.2 0 .4 0 .0 0 .3 0 .8 0 .1 0 .1 NJIRU 2 04,492 0 .0 0 .0 0 .0 5 8.9 0 .1 1 .9 3 6.5 1 .0 0 .0 0 .8 0 .5 0 .1 0 .1 STAREHE 6 6,108 0 .0 0 .0 0 .0 5 1.7 0 .2 2 .7 3 5.8 6 .4 0 .1 1 .8 1 .1 0 .1 0 .1 WESTLANDS 1 03,489 0 .0 0 .0 0 .0 5 1.0 0 .1 2 .5 2 8.5 1 4.4 0 .1 2 .2 0 .9 0 .3 0 .0 276

Page 290

Table 2.13: Percentage Distribution of Conventional Households by Dominant Wall Material of Main Dwelling Unit, Area of Residence, County and Sub-County Type of Wall Material (%) Conventional County/ Sub-County Households Cane/ Off cuts/ Stone with Palm/ Grass/ Mud/ Cow Stone with Covered Uncovered Plywood/ Reused wood/ Iron Concrete/ Concrete lime/ Canvas/ Nylon/ Prefabricated Not Trunks Reeds dung mud adobe adobe Cardboard Wood planks sheets blocks/ Precast wall Cement Bricks Tents Cartons Timber pannels Stated KENYA 1 2,043,016 0 .8 1 .9 2 7.5 3 .5 2 .7 1 .0 0 .4 1 .4 9 .9 1 6.3 1 6.5 1 0.2 0 .1 0 .2 7 .7 0 .0 0 .0 Rural 7 ,379,282 1 .3 2 .9 4 1.2 4 .2 3 .0 1 .4 0 .4 1 .8 6 .1 6 .6 8 .4 1 1.2 0 .1 0 .3 1 1.2 0 .0 0 .0 Urban 4 ,663,734 0 .2 0 .4 5 .6 2 .4 2 .2 0 .3 0 .4 0 .7 1 6.0 3 1.6 2 9.3 8 .5 0 .0 0 .1 2 .3 0 .0 0 .0 MOMBASA 3 76,295 0 .0 0 .0 5 .0 5 .9 4 .9 1 .2 0 .1 0 .1 2 .2 3 2.7 3 8.1 9 .7 0 .0 0 .1 0 .0 0 .1 0 .0 CHANGAMWE 4 6,439 0 .0 0 .0 3 .4 9 .6 8 .0 1 .2 0 .0 0 .1 1 .4 3 3.3 3 4.4 8 .3 0 .0 0 .0 0 .0 0 .0 0 .0 JOMVU 5 3,214 0 .0 0 .1 1 4.3 1 0.0 2 .0 0 .6 0 .0 0 .1 1 .4 3 0.7 3 0.1 1 0.5 0 .0 0 .0 0 .0 0 .0 0 .0 KISAUNI 8 8,159 0 .0 0 .1 6 .2 4 .8 5 .0 1 .7 0 .1 0 .1 4 .0 3 1.0 3 4.0 1 2.7 0 .0 0 .2 0 .0 0 .2 0 .0 LIKONI 8 0,002 0 .0 0 .0 0 .4 2 .9 6 .9 1 .7 0 .1 0 .1 1 .2 2 1.8 5 7.1 7 .7 0 .0 0 .0 0 .0 0 .0 0 .0 MVITA 3 8,710 0 .0 0 .0 7 .0 4 .9 1 .7 0 .2 0 .2 0 .1 3 .1 4 7.7 2 5.6 9 .2 0 .0 0 .0 0 .2 0 .0 0 .1 NYALI 6 9,771 0 .0 0 .0 1 .6 5 .7 4 .3 1 .0 0 .1 0 .2 1 .5 3 9.9 3 6.7 8 .8 0 .0 0 .0 0 .0 0 .1 0 .0 KWALE 1 72,802 0 .4 0 .6 4 6.3 7 .7 1 .5 0 .7 0 .0 0 .1 0 .9 9 .5 2 7.2 4 .7 0 .0 0 .1 0 .1 0 .0 0 .0 KINANGO 1 6,041 0 .1 0 .8 6 7.3 1 1.0 0 .7 0 .1 0 .0 0 .1 0 .4 4 .0 1 4.4 1 .0 0 .0 0 .1 0 .1 - 0 .0 LUNGALUNGA 3 7,276 0 .7 0 .7 6 4.3 8 .5 2 .1 1 .1 0 .0 0 .2 0 .8 6 .9 1 0.0 4 .4 0 .0 0 .2 0 .0 0 .0 0 .0 MATUGA 3 9,124 0 .5 0 .4 4 5.2 6 .9 1 .2 1 .0 0 .0 0 .1 0 .9 9 .1 3 1.2 3 .4 0 .0 0 .0 0 .0 0 .0 0 .0 MSAMBWENI 4 5,374 0 .4 0 .4 2 0.0 4 .1 1 .9 0 .7 0 .0 0 .0 1 .0 1 4.7 4 8.8 7 .5 0 .0 0 .0 0 .2 0 .0 0 .0 SAMBURU 3 4,987 0 .4 1 .0 5 2.9 1 1.0 1 .3 0 .4 0 .0 0 .1 0 .9 8 .3 1 9.0 4 .2 0 .1 0 .1 0 .0 0 .0 0 .1 KILIFI 2 97,990 0 .4 0 .6 3 8.8 1 0.2 1 .6 0 .8 0 .0 0 .1 0 .9 1 6.0 1 9.8 1 0.4 0 .1 0 .1 0 .1 0 .0 0 .0 CHONYI 1 1,416 0 .1 0 .6 5 8.2 1 4.3 2 .2 3 .3 0 .0 0 .0 0 .4 4 .9 8 .9 7 .1 - 0 .0 - 0 .0 - GANZE 2 3,197 0 .1 0 .7 7 7.9 8 .7 0 .6 0 .2 0 .0 0 .1 0 .8 3 .0 4 .3 3 .4 0 .1 0 .1 0 .0 0 .0 0 .1 KALOLENI 3 6,344 0 .1 0 .1 5 1.1 8 .4 1 .2 0 .4 0 .0 0 .0 1 .0 1 0.6 1 7.9 8 .7 0 .0 0 .0 0 .2 0 .0 0 .0 KAUMA 3 ,479 0 .5 0 .4 7 1.9 8 .0 0 .6 0 .7 0 .0 0 .1 1 .3 4 .7 7 .6 3 .9 0 .0 0 .1 - - - KILIFI NORTH 3 9,508 0 .6 0 .4 2 9.8 7 .7 1 .8 0 .8 0 .1 0 .1 0 .8 1 4.8 3 4.6 8 .5 0 .0 0 .0 0 .1 0 .0 0 .0 KILIFI SOUTH 5 3,011 0 .1 0 .1 2 0.8 8 .2 1 .4 0 .8 0 .0 0 .1 1 .4 2 4.3 2 8.4 1 4.0 0 .0 0 .0 0 .1 0 .1 0 .0 MAGARINI 3 2,978 1 .0 1 .2 5 7.8 1 4.9 1 .9 0 .6 0 .0 0 .1 0 .7 6 .7 8 .7 5 .8 0 .2 0 .2 0 .0 0 .0 0 .0 MALINDI 7 3,317 0 .6 1 .1 2 4.9 1 0.8 1 .7 0 .8 0 .0 0 .2 0 .9 2 4.7 1 9.5 1 4.5 0 .1 0 .1 0 .0 0 .0 0 .0 RABAI 2 4,740 0 .1 0 .2 3 9.8 1 3.3 2 .1 0 .7 0 .0 0 .3 0 .7 1 3.7 1 7.1 1 1.5 0 .0 0 .1 0 .1 0 .0 0 .0 TANA RIVER 6 6,984 1 .8 2 1.6 3 8.0 1 4.1 1 .0 0 .4 0 .1 0 .5 2 .0 8 .5 5 .8 4 .3 1 .1 0 .7 0 .2 0 .0 0 .1 TANA DELTA 2 2,395 1 .4 1 3.9 5 3.7 1 4.6 0 .9 0 .1 0 .1 0 .1 0 .5 4 .8 5 .4 2 .2 1 .6 0 .5 0 .1 0 .0 0 .0 TANA NORTH 2 6,119 3 .1 3 2.0 2 0.0 1 4.5 1 .4 0 .5 0 .2 0 .4 3 .7 1 0.3 6 .7 5 .0 1 .2 0 .9 0 .2 0 .0 0 .0 TANA RIVER 1 8,470 0 .4 1 6.4 4 4.4 1 2.9 0 .5 0 .5 0 .1 1 .2 1 .4 1 0.3 5 .0 5 .7 0 .4 0 .5 0 .2 0 .0 0 .1 LAMU 3 4,231 2 .1 1 .9 4 0.8 1 1.6 2 .8 0 .8 0 .1 0 .2 1 .4 1 5.6 1 4.1 7 .0 0 .4 0 .7 0 .3 0 .1 0 .0 LAMU EAST 4 ,476 0 .5 0 .7 1 2.3 2 4.2 4 .0 1 .7 - 0 .0 0 .8 1 0.6 3 2.8 1 1.9 0 .3 0 .1 0 .2 - - LAMU WEST 2 9,755 2 .3 2 .1 4 5.1 9 .7 2 .6 0 .6 0 .1 0 .3 1 .4 1 6.4 1 1.3 6 .3 0 .4 0 .8 0 .3 0 .2 0 .0 TAITA/TAVETA 9 4,468 0 .2 0 .1 1 9.6 5 .5 1 6.2 7 .1 0 .1 0 .2 2 .7 1 1.5 7 .9 2 8.6 0 .1 0 .1 0 .1 0 .1 0 .0 MWATATE 2 3,184 0 .0 0 .0 1 2.4 6 .1 2 4.9 1 3.7 0 .1 0 .1 1 .9 5 .8 4 .7 3 0.1 0 .1 0 .1 0 .0 0 .0 0 .0 TAITA 1 4,985 0 .1 0 .0 9 .7 6 .3 2 9.8 1 5.7 0 .0 0 .1 1 .2 7 .5 4 .0 2 5.5 0 .0 0 .0 0 .1 - 0 .0 TAVETA 2 3,417 0 .2 0 .2 3 4.0 6 .3 1 .7 0 .8 0 .1 0 .1 6 .5 2 0.5 1 7.9 1 1.0 0 .0 0 .1 0 .3 0 .1 0 .0 VOI 3 2,882 0 .4 0 .1 1 8.8 4 .0 1 4.2 3 .2 0 .0 0 .3 1 .4 1 1.0 4 .6 4 1.7 0 .1 0 .1 0 .1 0 .1 0 .0 277

Page 291

Table 2.13: Percentage Distribution of Conventional Households by Dominant Wall Material of Main Dwelling Unit, Area of Residence, County and Sub-County Type of Wall Material (%) Conventional County/ Sub-County Households Cane/ Off cuts/ Stone with Palm/ Grass/ Mud/ Cow Stone with Covered Uncovered Plywood/ Reused wood/ Iron Concrete/ Concrete lime/ Canvas/ Nylon/ Prefabricated Not Trunks Reeds dung mud adobe adobe Cardboard Wood planks sheets blocks/ Precast wall Cement Bricks Tents Cartons Timber pannels Stated GARISSA 1 38,940 5 .8 2 9.2 1 3.5 1 2.0 2 .6 0 .7 0 .3 0 .6 1 4.1 7 .3 6 .3 6 .6 0 .1 0 .1 0 .8 0 .0 0 .0 BALAMBALA 3 ,986 6 .8 5 1.8 1 5.4 1 0.6 0 .8 0 .4 0 .2 0 .1 6 .7 1 .1 2 .6 2 .2 0 .1 - 1 .4 - - DADAAB 3 5,169 3 .8 1 6.4 2 9.1 1 1.0 2 .8 0 .8 0 .3 0 .4 2 9.8 1 .8 1 .2 1 .3 0 .2 0 .2 1 .0 0 .0 0 .0 FAFI 2 3,351 4 .4 3 3.7 1 3.6 1 5.7 3 .4 0 .5 0 .2 1 .7 1 6.9 1 .9 3 .2 2 .4 0 .4 0 .4 1 .6 0 .0 0 .0 GARISSA 2 9,790 1 .2 9 .7 5 .1 7 .7 5 .0 1 .3 0 .1 0 .2 7 .6 2 2.1 1 5.6 2 3.5 0 .1 0 .1 0 .6 0 .1 0 .1 HULUGHO 2 0,078 1 7.7 6 0.9 4 .1 7 .9 0 .6 0 .1 0 .1 0 .0 4 .0 0 .8 2 .6 0 .8 0 .0 0 .0 0 .2 - 0 .0 IJARA 1 8,296 6 .6 3 1.3 4 .1 1 9.3 1 .1 0 .7 0 .3 1 .2 7 .6 1 1.8 1 1.2 4 .2 0 .0 0 .1 0 .4 - 0 .0 LAGDERA 8 ,270 3 .8 4 8.9 1 9.2 1 5.7 0 .5 0 .2 1 .0 0 .3 5 .0 1 .3 2 .4 1 .5 0 .0 0 .0 0 .2 - - WAJIR 1 26,878 9 .4 4 1.4 9 .8 1 0.8 1 .3 0 .5 0 .2 0 .8 7 .9 5 .9 5 .4 4 .3 0 .1 1 .0 1 .2 0 .0 0 .0 BUNA 6 ,480 4 .1 3 2.4 1 2.9 1 6.6 2 .0 1 .2 0 .8 1 .9 1 0.4 0 .8 2 .2 2 .3 0 .1 8 .0 4 .5 - - ELDAS 1 3,862 2 2.5 4 0.5 9 .5 1 0.3 1 .7 0 .4 0 .3 0 .8 3 .5 4 .0 1 .9 2 .5 0 .0 1 .0 1 .3 0 .0 - HABASWEIN 3 1,113 5 .1 2 7.8 1 1.4 1 4.4 1 .2 0 .8 0 .1 0 .4 1 5.4 9 .4 7 .4 5 .0 0 .2 0 .4 1 .0 0 .0 0 .0 TARBAJ 9 ,241 8 .9 7 1.2 4 .9 5 .7 0 .9 0 .1 0 .1 0 .3 3 .3 0 .3 0 .4 2 .9 0 .0 0 .5 0 .5 0 .0 - WAJIR EAST 1 8,282 6 .0 3 3.9 1 .8 1 0.2 2 .6 0 .9 0 .2 0 .2 7 .4 1 2.3 1 3.0 1 0.7 0 .1 0 .1 0 .4 0 .1 0 .0 WAJIR NORTH 1 0,478 5 .8 2 7.1 1 5.2 1 5.8 0 .9 0 .2 0 .3 1 .6 7 .9 7 .4 9 .8 3 .4 0 .1 1 .3 3 .4 - - WAJIR SOUTH 2 1,149 8 .1 5 3.6 1 7.5 9 .8 0 .2 0 .2 0 .1 0 .7 4 .6 0 .3 0 .9 1 .7 0 .2 1 .1 0 .9 - 0 .0 WAJIR WEST 1 6,273 1 6.7 5 6.2 4 .0 3 .8 1 .3 0 .4 0 .1 1 .2 3 .4 5 .1 3 .5 3 .1 0 .1 - 0 .9 0 .0 - MANDERA 1 23,954 1 2.7 3 3.6 1 0.1 1 1.8 0 .9 0 .3 0 .2 1 .9 8 .4 5 .0 6 .7 5 .4 0 .5 0 .7 1 .8 0 .0 0 .0 MANDERA WEST 1 4,201 6 .2 2 5.6 2 0.1 1 0.3 0 .6 0 .4 0 .3 3 .4 1 0.4 3 .4 7 .0 9 .0 0 .3 0 .9 2 .2 0 .0 0 .0 BANISA 2 4,000 1 0.1 3 9.4 1 8.7 1 0.1 0 .6 0 .1 0 .3 1 .4 8 .0 2 .1 1 .8 2 .6 0 .7 1 .1 3 .2 0 .0 0 .0 KOTULO 9 ,342 3 .3 4 4.9 7 .4 1 6.6 2 .0 0 .8 0 .2 1 .0 6 .2 3 .0 8 .8 2 .6 0 .0 0 .3 2 .9 - - LAFEY 1 1,380 1 8.8 4 3.2 4 .9 6 .1 0 .7 0 .9 0 .1 1 .9 9 .9 1 .4 1 .6 5 .2 1 .5 1 .0 2 .8 0 .1 - MANDERA CENTRAL 2 0,795 5 .7 3 1.1 6 .3 2 5.4 1 .1 0 .3 0 .2 0 .5 1 0.0 3 .1 1 1.6 2 .9 0 .1 1 .0 0 .5 - 0 .1 MANDERA EAST 2 5,206 1 6.5 2 2.4 5 .2 6 .5 1 .0 0 .3 0 .0 2 .6 8 .5 1 3.7 1 1.1 1 0.8 0 .1 0 .1 1 .1 0 .0 - MANDERA NORTH 1 9,030 2 4.4 3 8.4 6 .8 8 .3 0 .6 0 .1 0 .1 2 .3 5 .4 3 .9 3 .6 3 .5 1 .2 0 .5 0 .8 - - MARSABIT 7 6,689 1 9.5 7 .7 2 0.5 3 .6 2 .6 0 .6 0 .4 3 .4 5 .3 1 0.9 8 .3 5 .7 0 .2 9 .6 1 .5 0 .0 0 .1 LOIYANGALANI 7 ,646 2 6.1 2 6.2 2 5.6 0 .6 0 .0 - 0 .3 2 .2 0 .6 3 .2 5 .0 0 .6 0 .0 7 .7 1 .8 0 .0 - MARSABIT CENTRAL 1 5,658 1 .3 2 .5 3 3.1 4 .2 2 .3 0 .4 0 .1 1 .1 6 .9 2 1.3 2 3.0 2 .2 0 .0 0 .8 0 .7 0 .0 0 .0 MARSABIT NORTH 7 ,468 5 0.9 6 .4 6 .1 1 .9 0 .3 0 .1 0 .0 0 .1 1 .4 4 .8 5 .0 0 .6 0 .2 2 1.2 0 .7 0 .0 - MARSABIT SOUTH 1 1,563 2 6.4 5 .1 3 .4 0 .2 0 .0 0 .0 2 .0 1 2.1 7 .0 5 .0 2 .0 3 .8 0 .2 3 1.7 1 .0 0 .0 0 .0 MOYALE 1 7,591 5 .3 5 .6 2 4.3 5 .2 5 .8 1 .3 0 .3 2 .4 1 .9 1 8.3 6 .5 1 7.9 0 .3 2 .2 2 .8 0 .0 0 .0 NORTH HORR 9 ,601 4 6.2 7 .5 7 .8 2 .3 0 .1 0 .0 0 .0 3 .5 1 5.3 0 .9 2 .6 2 .0 0 .3 1 0.7 0 .2 - 0 .4 SOLOLO 7 ,162 7 .3 1 0.1 3 8.2 1 0.7 8 .1 2 .3 0 .1 1 .6 2 .9 7 .5 4 .9 2 .3 0 .2 0 .2 3 .6 - 0 .0 ISIOLO 5 3,217 1 .5 1 2.6 3 0.8 5 .8 0 .9 0 .3 1 .0 2 .7 5 .4 1 0.9 8 .4 3 .4 0 .1 1 .7 1 4.5 0 .0 0 .0 GARBATULLA 1 7,047 1 .8 2 3.3 4 5.5 1 3.7 0 .9 0 .4 0 .1 0 .4 4 .2 3 .8 2 .7 1 .4 0 .0 0 .2 1 .7 - 0 .0 ISIOLO 2 7,612 0 .4 0 .8 1 4.4 0 .8 1 .0 0 .2 1 .9 5 .0 7 .5 1 8.0 1 4.1 5 .7 0 .2 3 .1 2 6.8 0 .0 0 .0 MERTI 8 ,558 4 .3 2 9.5 5 4.4 6 .1 0 .2 0 .1 0 .0 0 .1 1 .2 1 .8 1 .6 0 .1 - 0 .3 0 .1 0 .2 - MERU 4 23,931 0 .4 0 .3 5 .1 0 .5 0 .5 0 .4 1 .9 5 .5 1 .8 8 .6 1 4.0 3 .0 0 .0 0 .2 5 7.8 0 .0 0 .0 BUURI EAST 2 3,737 0 .3 0 .1 0 .2 0 .1 0 .1 0 .0 2 .7 7 .2 1 .4 9 .4 1 3.0 2 .3 - 0 .3 6 2.9 0 .0 0 .0 BUURI WEST 2 7,905 0 .3 0 .0 2 .5 0 .3 0 .1 0 .2 2 .0 1 1.9 3 .2 8 .3 1 3.6 2 .3 0 .0 0 .7 5 4.5 0 .0 0 .0 IGEMBE CENTRAL 5 1,848 0 .9 0 .3 6 .9 0 .4 0 .5 0 .2 1 .5 6 .5 2 .1 4 .2 5 .2 1 .9 0 .0 0 .2 6 9.0 0 .0 0 .0 IGEMBE NORTH 3 8,716 1 .4 0 .6 5 .4 0 .6 0 .5 0 .2 2 .6 5 .7 2 .4 4 .6 6 .1 2 .2 0 .0 0 .2 6 7.5 0 .0 0 .0 IGEMBE SOUTH 4 3,222 0 .4 0 .5 3 .3 0 .4 0 .2 0 .1 1 .6 6 .2 1 .7 1 0.0 8 .7 2 .2 0 .0 0 .1 6 4.6 0 .0 0 .1 278

Page 292

Table 2.13: Percentage Distribution of Conventional Households by Dominant Wall Material of Main Dwelling Unit, Area of Residence, County and Sub-County Type of Wall Material (%) Conventional County/ Sub-County Households Cane/ Off cuts/ Stone with Palm/ Grass/ Mud/ Cow Stone with Covered Uncovered Plywood/ Reused wood/ Iron Concrete/ Concrete lime/ Canvas/ Nylon/ Prefabricated Not Trunks Reeds dung mud adobe adobe Cardboard Wood planks sheets blocks/ Precast wall Cement Bricks Tents Cartons Timber pannels Stated IMENTI NORTH 5 7,556 0 .0 0 .0 0 .7 0 .1 0 .3 0 .4 1 .9 4 .4 1 .3 1 6.4 2 7.9 3 .3 0 .0 0 .1 4 3.0 0 .0 0 .0 IMENTI SOUTH 6 3,954 0 .1 0 .1 4 .1 0 .4 0 .5 0 .2 1 .9 4 .1 1 .4 9 .3 2 1.7 2 .0 0 .0 0 .1 5 4.0 0 .0 0 .0 MERU CENTRAL 3 9,498 0 .3 0 .1 7 .7 0 .7 0 .9 0 .9 2 .7 3 .8 1 .4 7 .3 1 7.6 3 .4 0 .0 0 .1 5 3.1 0 .0 0 .0 TIGANIA CENTRAL 2 4,983 0 .4 0 .4 8 .2 1 .4 1 .6 2 .3 0 .8 4 .2 1 .5 4 .6 7 .3 9 .5 0 .0 0 .1 5 7.6 0 .0 0 .0 TIGANIA EAST 1 6,791 0 .1 0 .4 2 0.1 1 .2 0 .3 0 .2 1 .4 5 .9 2 .9 8 .5 9 .1 2 .5 0 .0 0 .3 4 7.1 0 .0 0 .1 TIGANIA WEST 3 5,402 0 .1 0 .1 6 .5 0 .9 0 .5 0 .2 1 .5 4 .3 1 .6 7 .8 9 .1 4 .0 0 .0 0 .1 6 3.1 0 .0 0 .0 MERU NATIONAL PARK 4 6 - - - - - - - - 2 .2 2 6.1 8 .7 6 3.0 - - - - - MT. KENYA FOREST 2 73 1 0.6 5 7.1 4 .4 - - - - 1 .1 0 .4 1 .1 1 .5 0 .7 0 .4 1 0.6 1 2.1 - - THARAKA-NITHI 1 09,450 0 .4 0 .2 2 6.9 1 .6 2 .5 1 .9 0 .8 1 .8 1 .4 6 .1 1 7.1 6 .6 0 .0 0 .1 3 2.6 0 .1 0 .0 IGAMBANG’OMBE 1 4,383 0 .5 0 .1 4 6.6 2 .2 3 .4 3 .1 0 .1 1 .5 1 .5 5 .6 1 0.5 4 .9 0 .0 0 .1 2 0.1 - 0 .0 MAARA 3 4,779 0 .4 0 .1 7 .7 0 .4 0 .2 0 .3 1 .8 2 .9 1 .7 4 .6 2 1.8 2 .2 0 .0 0 .1 5 5.7 0 .0 0 .0 MERU SOUTH 2 8,211 0 .0 0 .0 5 .6 0 .4 0 .5 0 .5 0 .6 1 .7 1 .3 1 1.9 2 4.4 6 .3 - 0 .1 4 6.6 0 .0 0 .0 THARAKA NORTH 1 3,403 1 .4 0 .8 5 7.3 3 .1 5 .5 3 .5 0 .1 0 .9 1 .3 2 .0 6 .3 1 6.5 0 .0 - 1 .0 0 .1 0 .1 THARAKA SOUTH 1 8,603 0 .4 0 .1 5 7.9 4 .3 6 .8 4 .9 0 .1 0 .5 1 .0 3 .5 1 0.3 9 .7 0 .0 0 .0 0 .5 0 .2 0 .0 MT. KENYA FOREST 7 1 - - - - - - - 3 8.0 1 2.7 9 .9 1 8.3 - - - 1 9.7 1 .4 - EMBU 1 82,427 0 .1 0 .1 1 6.0 2 .0 5 .6 3 .5 0 .2 1 .2 3 .4 8 .0 1 8.8 2 0.9 0 .0 0 .1 2 0.2 0 .0 0 .0 EMBU EAST 3 9,586 0 .0 0 .0 1 2.5 1 .3 1 .5 1 .2 0 .2 1 .2 2 .2 6 .0 1 1.6 2 9.3 0 .0 0 .0 3 2.9 0 .0 - EMBU NORTH 2 4,294 0 .0 - 1 .6 0 .3 0 .3 0 .1 0 .5 2 .3 1 .9 4 .7 1 6.3 6 .6 0 .0 0 .1 6 5.4 0 .0 0 .0 EMBU WEST 4 3,126 0 .1 0 .0 7 .4 1 .0 1 .3 0 .6 0 .1 2 .3 5 .8 1 7.1 3 2.4 1 4.4 0 .0 0 .0 1 7.3 0 .0 0 .0 MBEERE SOUTH 4 5,924 0 .2 0 .2 2 4.1 2 .6 1 0.8 6 .5 0 .1 0 .3 3 .8 5 .1 1 8.4 2 7.0 0 .0 0 .1 0 .7 0 .0 0 .0 MBEERE NORTH 2 9,483 0 .1 0 .1 3 2.7 4 .7 1 3.5 8 .8 0 .0 0 .3 2 .0 4 .6 1 1.4 2 1.4 0 .0 0 .1 0 .3 - 0 .0 MT. KENYA FOREST 1 4 - - - - - - - 7 1.4 2 1.4 - - - - - 7 .1 - - KITUI 2 61,814 0 .5 0 .4 1 1.6 4 .4 8 .5 7 .5 0 .0 0 .5 1 .8 1 0.6 7 .4 4 6.4 0 .0 0 .0 0 .2 0 .0 0 .0 IKUTHA 1 6,579 1 .1 0 .3 1 6.6 5 .8 1 0.0 1 2.4 0 .0 0 .6 1 .5 5 .0 2 .8 4 3.4 0 .0 0 .1 0 .5 0 .1 0 .0 KATULANI 1 2,166 0 .1 0 .1 2 .3 3 .5 1 3.8 1 0.2 0 .0 0 .0 1 .1 8 .3 7 .0 5 3.5 0 .0 0 .0 - - - KISASI 1 0,860 0 .0 0 .0 2 .5 4 .2 5 .2 8 .2 0 .0 0 .0 1 .7 9 .5 8 .7 5 9.7 0 .0 0 .0 0 .0 - 0 .0 KITUI CENTRAL 2 9,026 0 .0 0 .0 1 .3 2 .9 7 .1 4 .8 0 .0 0 .0 1 .8 2 2.0 1 3.3 4 6.5 0 .0 0 .0 0 .0 0 .0 0 .0 KITUI WEST 1 7,465 - 0 .0 1 .2 2 .5 1 1.6 7 .9 0 .0 0 .0 1 .4 1 3.5 1 0.1 5 1.7 0 .0 0 .0 0 .0 0 .0 - KYUSO 1 5,969 0 .6 0 .6 2 0.9 4 .1 6 .7 5 .7 0 .0 1 .9 1 .8 7 .2 3 .2 4 7.1 0 .1 0 .1 0 .3 0 .0 0 .0 LOWER YATTA 1 5,021 0 .2 0 .4 5 .4 6 .7 1 0.7 1 2.4 0 .0 0 .1 4 .7 1 0.1 1 2.1 3 7.1 0 .0 0 .0 0 .1 0 .0 0 .0 MATINYANI 1 1,497 0 .0 0 .1 0 .3 4 .0 8 .5 8 .5 0 .0 0 .0 1 .4 8 .8 1 0.6 5 7.6 0 .1 - - - - MIGWANI 1 8,843 0 .0 0 .0 0 .7 2 .2 9 .4 5 .3 - 0 .0 1 .7 1 4.3 8 .0 5 8.1 0 .0 - 0 .0 - 0 .0 MUMONI 6 ,451 0 .7 0 .2 1 0.6 2 .7 8 .3 7 .1 - 0 .2 1 .5 4 .5 2 .5 6 1.6 0 .0 0 .0 0 .1 - 0 .0 MUTITU 1 1,490 0 .7 1 .4 4 5.0 9 .8 5 .8 3 .2 0 .1 0 .4 1 .5 4 .9 3 .9 2 2.2 0 .2 0 .1 0 .7 0 .0 0 .1 MUTITU NORTH 4 ,929 0 .4 0 .1 3 9.3 6 .1 1 1.0 5 .6 0 .0 0 .9 1 .1 5 .8 2 .4 2 7.1 0 .1 0 .1 0 .1 - 0 .0 MUTOMO 2 3,034 1 .7 1 .8 1 2.7 3 .6 7 .0 1 2.4 0 .1 0 .5 1 .5 7 .1 4 .0 4 7.2 0 .0 0 .1 0 .2 0 .0 0 .0 MWINGI CENTRAL 2 6,745 0 .3 0 .1 6 .9 3 .6 1 0.0 6 .0 0 .0 0 .2 2 .0 1 6.5 1 0.9 4 3.3 0 .0 0 .0 0 .1 0 .0 0 .0 MWINGI EAST 1 8,725 0 .6 0 .4 3 8.3 7 .4 4 .2 3 .1 0 .1 2 .1 1 .6 6 .1 4 .1 3 1.1 0 .1 0 .1 0 .7 - 0 .0 NZAMBANI 1 1,276 0 .1 0 .0 1 .3 2 .9 9 .0 9 .9 0 .0 0 .0 1 .6 7 .2 7 .8 6 0.1 0 .1 0 .0 0 .1 - - THAGICU 3 ,289 0 .2 0 .5 3 4.6 7 .3 4 .7 1 .9 0 .1 2 .1 1 .0 6 .4 1 .6 3 9.3 - 0 .0 0 .2 - - TSEIKURU 8 ,449 2 .1 1 .5 1 4.6 6 .2 9 .3 7 .1 0 .0 1 .1 2 .6 6 .2 2 .6 4 6.4 - 0 .0 0 .3 0 .0 - 279

Page 293

Table 2.13: Percentage Distribution of Conventional Households by Dominant Wall Material of Main Dwelling Unit, Area of Residence, County and Sub-County Type of Wall Material (%) Conventional County/ Sub-County Households Cane/ Off cuts/ Stone with Palm/ Grass/ Mud/ Cow Stone with Covered Uncovered Plywood/ Reused wood/ Iron Concrete/ Concrete lime/ Canvas/ Nylon/ Prefabricated Not Trunks Reeds dung mud adobe adobe Cardboard Wood planks sheets blocks/ Precast wall Cement Bricks Tents Cartons Timber pannels Stated MACHAKOS 3 99,523 0 .0 0 .0 0 .8 2 .5 6 .8 4 .8 0 .1 0 .1 9 .4 1 9.5 2 4.2 3 1.5 0 .0 0 .0 0 .1 0 .0 0 .0 ATHI RIVER 1 09,723 0 .0 0 .0 0 .3 0 .5 1 .0 0 .3 0 .3 0 .2 2 7.5 3 6.8 2 8.8 3 .7 0 .1 0 .1 0 .3 0 .0 0 .1 KALAMA 1 4,137 0 .0 0 .0 1 .1 4 .2 1 0.3 7 .8 0 .0 0 .1 3 .6 1 1.5 1 4.8 4 6.1 0 .1 - 0 .2 - 0 .0 KANGUNDO 2 6,115 0 .0 0 .0 0 .1 2 .1 6 .6 6 .3 0 .0 0 .0 1 .2 7 .0 2 5.5 5 1.0 0 .0 0 .0 0 .0 0 .0 0 .0 KATHIANI 2 8,730 0 .0 0 .0 0 .5 0 .8 1 2.4 8 .4 0 .0 0 .0 1 .3 9 .9 1 0.5 5 6.1 0 .0 0 .0 0 .0 0 .0 0 .0 MACHAKOS 5 0,753 0 .0 0 .0 1 .3 1 .7 6 .9 2 .4 0 .0 0 .1 2 .4 2 6.2 2 6.6 3 2.2 0 .0 0 .0 0 .1 0 .1 0 .0 MASINGA 3 6,196 0 .1 0 .1 2 .0 3 .0 1 1.6 9 .7 0 .0 0 .1 2 .2 8 .9 1 1.2 5 1.1 0 .0 0 .0 0 .1 - 0 .0 MATUNGULU 4 4,399 0 .0 0 .0 0 .7 6 .0 3 .3 4 .5 0 .1 0 .1 4 .9 1 3.3 4 6.8 2 0.2 0 .0 0 .0 0 .1 0 .0 0 .0 MWALA 4 5,809 0 .0 0 .0 0 .7 1 .6 1 2.3 7 .3 0 .0 0 .0 1 .6 8 .7 6 .4 6 1.3 0 .0 0 .0 0 .0 0 .0 0 .0 YATTA 4 3,661 0 .1 0 .1 1 .6 5 .9 1 0.7 8 .1 0 .0 0 .0 2 .5 1 1.2 2 7.6 3 2.0 0 .0 0 .0 0 .0 0 .0 0 .0 MAKUENI 2 43,979 0 .1 0 .0 3 .5 3 .3 1 4.5 6 .4 0 .0 0 .1 2 .5 7 .8 5 .9 5 5.7 0 .1 0 .0 0 .1 0 .0 0 .0 KATHONZWENI 1 8,362 0 .0 0 .0 2 .8 0 .9 1 1.4 3 .9 0 .0 0 .0 2 .2 4 .8 2 .7 7 1.0 0 .1 0 .0 0 .0 0 .0 0 .0 KIBWEZI 4 7,594 0 .1 0 .1 4 .5 6 .3 1 0.5 5 .8 0 .0 0 .1 1 .6 6 .8 5 .9 5 8.1 0 .0 0 .0 0 .1 0 .0 0 .0 KILUNGU 1 4,563 0 .1 0 .0 4 .0 1 .9 2 4.7 1 3.0 0 .0 0 .0 1 .2 6 .0 2 .2 4 6.0 0 .0 - 0 .0 0 .7 0 .0 MAKINDU 2 1,662 0 .0 0 .1 2 .9 3 .6 1 9.2 7 .3 0 .0 0 .0 2 .3 1 1.0 7 .9 4 5.4 0 .1 0 .0 0 .0 0 .0 0 .0 MAKUENI 3 4,352 0 .0 0 .0 3 .1 1 .8 1 8.4 6 .7 0 .0 0 .0 1 .5 1 0.4 6 .3 5 1.6 0 .0 0 .0 0 .0 - 0 .0 MBOONI EAST 2 3,724 0 .1 0 .0 3 .4 1 .0 1 2.6 6 .1 0 .0 0 .1 1 .1 7 .2 3 .5 6 4.8 0 .0 0 .0 0 .0 - 0 .0 MBOONI WEST 2 4,807 0 .0 0 .0 1 .9 3 .5 1 4.5 6 .3 0 .0 0 .0 1 .2 5 .2 5 .3 6 1.9 0 .0 0 .0 0 .0 0 .0 0 .0 MUKAA 2 8,109 0 .0 0 .0 4 .3 4 .1 1 1.5 5 .0 0 .1 0 .1 9 .3 9 .9 8 .7 4 6.8 0 .0 0 .0 0 .2 0 .0 0 .0 NZAUI 3 0,806 0 .0 0 .0 4 .0 3 .3 1 4.1 6 .3 0 .0 0 .0 1 .7 7 .7 7 .3 5 5.3 0 .1 0 .0 0 .1 0 .0 0 .0 NYANDARUA 1 78,224 0 .1 0 .0 1 7.7 1 .1 0 .5 0 .4 1 .0 9 .4 1 2.5 7 .1 1 9.3 0 .8 0 .0 0 .1 2 9.8 0 .0 0 .0 KINANGOP 3 0,847 0 .2 0 .0 1 0.9 1 .4 1 .6 2 .1 1 .1 1 3.0 1 2.1 6 .0 2 0.1 1 .5 0 .0 0 .3 2 9.6 0 .0 0 .0 NYANDARUA SOUTH 2 5,650 0 .1 0 .0 3 0.7 1 .5 0 .6 0 .1 0 .7 8 .4 1 0.1 5 .9 2 4.5 0 .3 0 .0 0 .2 1 6.8 0 .0 0 .0 MIRANGINE 1 7,880 0 .4 0 .0 2 4.6 1 .3 0 .1 - 2 .0 1 1.4 1 6.5 6 .1 1 3.5 0 .2 0 .1 0 .1 2 3.8 0 .0 0 .0 KIPIPIRI 2 5,077 0 .1 0 .0 2 9.7 1 .2 0 .5 0 .1 1 .0 5 .4 1 6.6 4 .7 1 4.7 0 .7 - 0 .1 2 5.2 0 .0 0 .0 NYANDARUA CENTRAL 2 1,852 0 .1 0 .0 2 0.6 1 .2 0 .5 0 .4 0 .6 4 .9 1 4.2 8 .7 3 2.6 0 .8 0 .0 0 .1 1 5.2 0 .0 0 .0 NYANDARUA WEST 2 9,003 0 .1 - 6 .8 0 .4 0 .1 0 .0 0 .8 1 1.4 8 .6 1 1.6 1 9.8 0 .7 0 .0 0 .1 3 9.5 0 .0 0 .0 NYANDARUA NORTH 2 7,906 0 .0 0 .0 7 .2 0 .7 0 .1 0 .0 1 .2 1 0.0 1 1.7 6 .4 1 0.4 0 .9 0 .0 0 .1 5 1.1 0 .0 0 .0 ABERDARE NATIONAL PA R K 9 - - - - - - - - - 4 4.4 4 4.4 - - - 1 1.1 - - NYERI 2 44,564 0 .1 0 .0 1 .7 0 .3 1 .2 0 .8 0 .5 6 .5 4 .1 1 2.0 1 8.5 2 .5 0 .0 0 .1 5 1.6 0 .0 0 .0 TETU 2 4,122 0 .0 0 .0 0 .4 0 .1 0 .5 0 .1 0 .7 4 .6 1 .6 6 .5 1 0.3 0 .4 0 .0 0 .1 7 4.6 0 .0 0 .0 KIENI EAST 3 6,751 0 .1 0 .1 1 .2 0 .2 0 .2 0 .0 0 .5 6 .9 4 .1 8 .5 1 8.6 0 .5 0 .0 0 .2 5 8.8 0 .0 0 .0 KIENI WEST 2 7,530 0 .4 0 .1 0 .4 0 .1 0 .1 0 .0 1 .1 1 2.7 5 .9 4 .9 8 .2 0 .3 0 .0 0 .2 6 5.6 0 .1 0 .0 MATHIRA EAST 3 3,945 0 .1 0 .0 1 .9 0 .3 0 .6 0 .4 0 .4 5 .0 1 .9 1 8.5 2 1.7 2 .9 0 .0 0 .0 4 6.3 0 .0 0 .0 MATHIRA WEST 1 8,892 0 .1 0 .0 3 .0 0 .2 0 .1 0 .1 0 .6 5 .9 3 .4 6 .7 1 5.0 1 .2 0 .0 0 .1 6 3.4 0 .0 0 .0 NYERI SOUTH 2 8,103 0 .2 0 .0 0 .8 0 .2 0 .9 0 .1 0 .7 5 .4 3 .8 7 .8 1 7.3 0 .3 0 .0 0 .1 6 2.2 0 .1 0 .0 MUKURWE-INI 2 7,036 0 .1 0 .0 7 .4 1 .2 6 .8 6 .6 0 .2 2 .7 7 .4 8 .9 1 5.2 1 4.6 0 .0 0 .0 2 8.9 0 .1 0 .0 NYERI CENTRAL 4 8,036 0 .0 - 0 .2 0 .2 0 .6 0 .1 0 .3 7 .6 4 .3 2 3.1 3 0.2 1 .2 0 .0 0 .1 3 2.0 0 .0 0 .0 MT. KENYA FOREST 1 01 5 .0 - 5 .9 - - - - 5 .0 3 .0 4 .0 2 4.8 - 1 .0 2 .0 4 9.5 - - ABERDARE FOREST 4 8 - - - - - - - - - 4 7.9 - - - - 3 3.3 1 8.8 - KIRINYAGA 2 03,576 0 .0 0 .0 1 0.4 1 .9 4 .7 2 .2 0 .3 2 .9 3 .8 1 2.8 2 4.1 9 .4 0 .0 0 .0 2 7.5 0 .0 0 .0 KIRINYAGA CENTRAL 4 0,149 0 .0 - 4 .5 0 .4 1 .0 0 .6 0 .7 2 .2 2 .2 1 3.2 2 0.2 4 .2 0 .0 0 .0 5 0.8 0 .0 0 .0 KIRINYAGA EAST 4 4,509 0 .0 0 .0 8 .2 0 .7 1 .0 0 .2 0 .2 5 .4 1 .7 8 .3 2 0.1 3 .9 0 .0 0 .0 5 0.1 0 .0 0 .0 280

Page 294

Table 2.13: Percentage Distribution of Conventional Households by Dominant Wall Material of Main Dwelling Unit, Area of Residence, County and Sub-County Type of Wall Material (%) Conventional County/ Sub-County Households Cane/ Off cuts/ Stone with Palm/ Grass/ Mud/ Cow Stone with Covered Uncovered Plywood/ Reused wood/ Iron Concrete/ Concrete lime/ Canvas/ Nylon/ Prefabricated Not Trunks Reeds dung mud adobe adobe Cardboard Wood planks sheets blocks/ Precast wall Cement Bricks Tents Cartons Timber pannels Stated KIRINYAGA WEST 3 7,951 0 .1 0 .0 4 .0 1 .0 6 .8 6 .4 0 .3 3 .5 3 .7 1 0.4 2 5.8 1 3.8 0 .0 0 .1 2 4.1 0 .0 0 .0 MWEA EAST 4 6,331 0 .0 0 .0 1 4.3 4 .5 9 .4 1 .5 0 .1 1 .5 5 .1 1 8.5 2 9.6 1 0.3 0 .0 0 .0 5 .2 0 .0 0 .0 MWEA WEST 3 4,613 0 .0 0 .0 2 1.9 2 .5 5 .3 2 .7 0 .2 1 .4 6 .5 1 3.3 2 4.5 1 6.5 0 .0 0 .0 5 .1 0 .0 0 .0 MT. KENYA FOREST 2 3 - - - - - - - 4 3.5 2 6.1 - 1 3.0 - - - 1 7.4 - - MURANG’A 3 17,496 0 .1 0 .0 7 .4 1 .1 2 .8 1 .7 0 .3 2 .2 2 4.4 1 0.6 3 0.2 7 .6 0 .0 0 .0 1 1.4 0 .2 0 .0 MURANG’A EAST 3 4,650 0 .0 0 .0 7 .5 2 .1 6 .8 4 .9 0 .1 0 .6 8 .3 1 6.8 3 6.1 1 5.1 0 .0 0 .0 1 .6 - 0 .0 KANGEMA 2 5,283 0 .1 - 2 .7 0 .3 0 .4 0 .2 0 .6 3 .7 3 8.7 5 .4 1 8.1 2 .3 0 .0 0 .0 2 7.2 0 .2 - MATHIOYA 2 8,372 0 .2 - 2 .4 0 .3 0 .8 0 .3 0 .3 3 .1 4 7.6 6 .2 1 5.8 1 .8 0 .0 0 .0 2 1.0 0 .3 0 .0 KAHURO 2 6,778 0 .1 0 .0 8 .7 0 .8 0 .5 0 .2 0 .2 2 .4 3 4.1 7 .2 2 4.2 1 .5 0 .0 0 .0 2 0.0 0 .0 0 .0 MURANG’A SOUTH 5 5,878 0 .1 0 .0 9 .1 1 .7 5 .9 3 .5 0 .2 0 .7 1 5.2 1 2.7 3 5.0 1 3.5 0 .0 0 .0 2 .3 0 .0 0 .0 GATANGA 5 5,340 0 .3 0 .0 5 .1 1 .5 2 .8 2 .0 0 .3 3 .1 1 0.8 1 2.1 3 8.4 1 1.0 0 .0 0 .0 1 2.5 0 .2 0 .0 KIGUMO 4 0,528 0 .1 0 .0 9 .3 0 .7 1 .0 0 .3 0 .4 3 .7 3 3.5 7 .8 2 1.4 4 .7 0 .0 0 .0 1 6.6 0 .5 0 .0 KANDARA 5 0,657 0 .2 0 .0 1 0.8 0 .8 1 .5 0 .5 0 .3 1 .7 2 7.6 1 1.3 3 6.3 3 .8 0 .0 0 .0 5 .1 0 .1 0 .0 ABERDARE FOREST 1 0 - - - - - - - - 7 0.0 - 2 0.0 - - - 1 0.0 - - KIAMBU 7 92,333 0 .1 0 .0 0 .6 0 .4 1 .0 0 .2 1 .2 1 .4 2 4.7 2 3.3 4 0.3 2 .0 0 .0 0 .1 4 .8 0 .1 0 .0 GATUNDU NORTH 3 1,452 0 .3 0 .0 1 .8 1 .0 1 .6 0 .7 0 .5 3 .1 2 7.4 7 .3 3 5.1 6 .6 0 .0 0 .0 1 4.4 0 .2 0 .0 GATUNDU SOUTH 3 5,577 0 .2 0 .0 2 .5 0 .8 1 .0 0 .4 0 .7 2 .6 3 9.2 1 1.1 3 2.7 1 .6 0 .0 - 7 .3 0 .0 0 .0 GITHUNGURI 4 9,414 0 .2 0 .0 0 .1 0 .2 1 .0 0 .3 1 .9 3 .2 4 2.4 1 1.1 2 6.7 1 .1 0 .0 0 .1 1 1.5 0 .1 0 .0 JUJA 1 04,042 0 .0 0 .0 0 .2 0 .5 1 .3 0 .3 0 .1 0 .1 5 .5 2 8.9 6 1.0 1 .8 0 .0 0 .0 0 .2 0 .1 0 .0 KABETE 6 6,681 0 .0 0 .0 0 .0 0 .0 0 .2 0 .2 1 .5 1 .2 4 8.1 1 4.1 3 1.0 1 .1 0 .0 0 .0 2 .4 0 .0 0 .0 KIAMBAA 8 0,316 0 .0 0 .0 0 .0 0 .2 0 .6 0 .1 1 .4 1 .3 3 4.3 2 3.3 3 3.1 2 .1 0 .0 0 .0 3 .4 0 .0 0 .0 KIAMBU 4 6,816 0 .0 0 .0 0 .0 0 .2 1 .2 0 .1 1 .7 0 .8 2 7.1 2 5.2 3 9.3 2 .0 0 .0 0 .0 2 .3 0 .0 0 .1 KIKUYU 6 0,619 0 .1 0 .0 0 .4 0 .1 0 .3 0 .1 2 .8 1 .3 4 1.8 2 4.1 2 5.2 1 .6 0 .0 0 .0 2 .1 0 .1 0 .0 LARI 3 8,585 0 .1 0 .0 0 .9 0 .3 0 .5 0 .2 4 .2 5 .6 3 0.7 8 .6 1 6.7 0 .5 0 .0 0 .3 3 1.2 0 .1 0 .0 LIMURU 4 9,096 0 .2 0 .0 2 .2 0 .6 0 .3 0 .1 2 .3 3 .0 3 3.3 1 6.6 3 0.1 1 .3 0 .0 0 .3 9 .8 0 .0 0 .0 RUIRU 1 27,910 0 .0 0 .0 0 .1 0 .3 1 .3 0 .2 0 .1 0 .2 1 0.1 3 6.7 4 8.9 1 .7 0 .0 0 .0 0 .4 0 .0 0 .0 THIKA EAST 1 2,736 0 .0 0 .0 2 .3 2 .9 1 .9 2 .5 0 .3 0 .2 5 .5 1 8.4 5 8.1 7 .4 - 0 .0 0 .3 - 0 .0 THIKA WEST 8 9,089 0 .0 0 .0 1 .1 0 .6 1 .4 0 .2 0 .1 0 .5 8 .1 3 0.7 5 3.6 3 .0 0 .0 0 .0 0 .8 0 .0 0 .0 TURKANA 1 62,627 1 6.4 2 7.5 2 8.5 3 .3 0 .9 0 .4 0 .2 3 .0 5 .9 5 .3 1 .8 2 .3 1 .5 2 .5 0 .4 0 .1 0 .1 KIBISH 5 ,699 6 .7 7 5.7 5 .4 2 .1 0 .1 0 .0 0 .1 5 .1 1 .6 0 .7 0 .0 0 .1 0 .2 0 .9 1 .2 - - LOIMA 1 9,139 2 8.9 3 1.2 2 6.8 2 .4 0 .1 0 .2 0 .2 8 .1 0 .5 0 .5 0 .4 0 .2 0 .1 0 .4 0 .2 0 .0 0 .1 TURKANA CENTRAL 3 7,917 1 8.7 2 1.1 2 9.6 2 .8 0 .5 0 .0 0 .2 0 .5 5 .8 1 3.3 4 .0 2 .9 0 .0 0 .1 0 .5 0 .1 0 .0 TURKANA EAST 1 7,887 2 5.3 1 0.7 4 9.7 5 .2 0 .2 0 .2 0 .1 3 .7 1 .0 2 .1 0 .7 0 .7 0 .0 0 .1 0 .1 - 0 .1 TURKANA NORTH 1 2,964 1 6.2 6 1.8 3 .2 0 .6 0 .1 0 .1 0 .1 5 .6 5 .2 1 .6 0 .9 0 .1 0 .6 3 .8 0 .1 0 .0 0 .0 TURKANA SOUTH 2 4,281 1 6.9 1 7.2 4 4.0 5 .2 1 .0 0 .8 0 .1 2 .5 1 .3 6 .1 1 .1 2 .0 0 .2 1 .4 0 .0 0 .0 0 .1 TURKANA WEST 4 4,740 6 .7 2 7.8 2 1.8 3 .2 2 .1 0 .7 0 .3 1 .9 1 3.4 3 .2 1 .8 4 .5 5 .1 6 .7 0 .6 0 .2 0 .1 WEST POKOT 1 15,761 1 .0 3 .0 7 4.8 5 .6 1 .5 0 .2 0 .1 0 .3 0 .9 4 .2 1 .9 5 .9 0 .0 0 .0 0 .5 0 .0 0 .0 KIPKOMO 1 8,367 0 .2 1 .9 7 3.8 7 .5 2 .3 0 .1 0 .0 0 .1 0 .8 4 .6 1 .6 7 .1 0 .0 0 .0 0 .0 0 .0 - POKOT CENTRAL 2 1,784 2 .6 3 .7 7 9.3 6 .1 0 .7 0 .1 0 .1 0 .6 0 .9 2 .5 1 .4 1 .4 0 .1 0 .1 0 .4 - 0 .0 POKOT NORTH 2 5,736 1 .6 5 .5 8 3.2 3 .3 0 .4 0 .1 0 .0 0 .3 0 .5 1 .9 0 .9 1 .4 0 .0 0 .0 0 .7 0 .0 0 .1 POKOT SOUTH 1 3,752 0 .4 1 .3 8 0.0 7 .9 0 .4 0 .0 0 .2 0 .5 0 .3 3 .7 2 .2 2 .1 - - 1 .0 0 .0 - WEST POKOT 3 6,122 0 .2 2 .2 6 4.7 5 .0 2 .9 0 .7 0 .0 0 .0 1 .4 6 .8 3 .1 1 2.7 0 .0 0 .0 0 .3 0 .0 0 .0 281

Page 295

Table 2.13: Percentage Distribution of Conventional Households by Dominant Wall Material of Main Dwelling Unit, Area of Residence, County and Sub-County Type of Wall Material (%) Conventional County/ Sub-County Households Cane/ Off cuts/ Stone with Palm/ Grass/ Mud/ Cow Stone with Covered Uncovered Plywood/ Reused wood/ Iron Concrete/ Concrete lime/ Canvas/ Nylon/ Prefabricated Not Trunks Reeds dung mud adobe adobe Cardboard Wood planks sheets blocks/ Precast wall Cement Bricks Tents Cartons Timber pannels Stated SAMBURU 6 3,951 6 .3 1 .7 5 2.6 1 .6 0 .5 0 .1 0 .3 2 .1 2 .8 1 0.3 7 .8 1 .6 0 .0 7 .6 4 .7 0 .0 0 .0 SAMBURU CENTRAL 3 3,720 2 .7 1 .1 5 9.6 1 .8 0 .8 0 .1 0 .2 1 .5 1 .4 1 1.7 9 .0 1 .3 0 .0 1 .5 7 .2 0 .0 0 .0 SAMBURU EAST 1 7,307 8 .0 0 .9 3 8.4 1 .4 0 .3 0 .1 0 .6 3 .7 6 .5 1 0.0 6 .2 2 .7 0 .1 1 9.5 1 .6 0 .0 - SAMBURU NORTH 1 2,924 1 3.4 4 .5 5 3.5 1 .1 0 .1 0 .0 0 .1 1 .4 1 .6 6 .8 6 .5 1 .1 0 .0 7 .6 2 .3 0 .0 0 .0 TRANS NZOIA 2 22,989 0 .0 0 .2 5 9.5 6 .6 2 .8 0 .4 0 .1 0 .1 1 .4 7 .1 3 .1 1 8.5 0 .0 0 .0 0 .2 0 .0 0 .0 TRANS NZOIA WEST 4 7,576 0 .0 0 .1 4 6.3 8 .5 4 .8 0 .7 0 .1 0 .2 1 .7 1 2.2 3 .8 2 1.2 0 .1 0 .0 0 .3 0 .0 0 .0 TRANS NZOIA EAST 4 9,955 0 .0 0 .1 6 9.8 4 .8 1 .8 0 .3 0 .1 0 .1 1 .1 5 .7 2 .4 1 3.7 0 .0 0 .0 0 .1 0 .0 0 .0 KWANZA 4 5,599 0 .0 0 .1 6 2.2 7 .4 3 .4 0 .5 0 .0 0 .1 1 .2 6 .0 2 .7 1 6.2 0 .0 0 .0 0 .1 0 .0 0 .0 ENDEBESS 2 3,246 0 .1 0 .5 7 9.0 6 .7 1 .2 0 .2 0 .1 0 .3 1 .3 4 .0 2 .7 3 .3 0 .0 0 .0 0 .5 0 .0 0 .0 KIMININI 5 6,613 0 .0 0 .1 5 1.4 5 .9 2 .1 0 .4 0 .1 0 .1 1 .4 6 .3 3 .5 2 8.5 0 .0 0 .0 0 .2 0 .0 0 .0 UASIN GISHU 3 01,110 0 .0 0 .1 3 3.9 2 .8 2 .1 0 .3 0 .5 1 .3 9 .9 2 3.6 8 .2 1 2.2 0 .0 0 .0 5 .2 0 .0 0 .0 AINABKOI 3 4,862 0 .1 0 .1 2 1.7 1 .3 1 .0 0 .3 0 .8 3 .6 1 6.1 2 3.0 6 .2 1 0.4 0 .0 0 .1 1 5.3 0 .0 0 .0 KAPSERET 5 9,678 0 .0 0 .0 2 6.8 1 .9 3 .0 0 .4 0 .5 0 .4 1 2.3 3 1.9 1 1.4 1 0.3 0 .0 0 .0 1 .0 0 .0 0 .0 KESSES 3 4,623 0 .1 0 .1 3 6.4 2 .6 0 .4 0 .1 0 .5 4 .5 1 0.8 1 2.9 5 .1 8 .9 0 .0 0 .0 1 7.5 0 .0 0 .0 MOIBEN 4 6,602 0 .0 0 .1 2 5.0 4 .5 1 .3 0 .3 0 .7 1 .2 1 3.1 2 3.8 8 .0 1 5.7 0 .0 0 .0 6 .3 0 .0 0 .0 SOY 5 3,758 0 .0 0 .1 5 3.3 2 .6 2 .7 0 .5 0 .2 0 .2 6 .1 1 3.9 5 .3 1 4.6 0 .0 0 .0 0 .5 0 .0 0 .0 TURBO 7 1,587 0 .0 0 .0 3 5.7 3 .3 2 .6 0 .3 0 .3 0 .3 5 .1 2 9.5 1 0.2 1 2.2 0 .0 0 .0 0 .4 0 .0 0 .0 ELGEYO/MARAKWET 9 9,119 0 .2 0 .6 3 6.6 1 1.7 1 .0 0 .3 0 .4 2 .1 9 .5 5 .7 3 .9 8 .1 0 .0 0 .0 1 9.7 0 .0 0 .0 KEIYO NORTH 2 1,749 0 .1 0 .1 2 1.8 5 .9 1 .0 0 .6 0 .3 3 .0 1 9.1 5 .7 1 .9 1 5.7 0 .0 0 .0 2 4.8 0 .0 0 .0 KEIYO SOUTH 2 6,740 0 .2 0 .2 2 2.6 0 .9 0 .6 0 .1 0 .6 4 .2 1 6.7 3 .1 1 .1 3 .7 0 .0 0 .1 4 5.9 0 .0 0 .0 MARAKWET EAST 2 1,123 0 .7 1 .9 4 0.3 3 1.8 1 .2 0 .4 0 .0 0 .2 1 .9 5 .6 8 .4 6 .9 0 .0 0 .0 0 .8 0 .0 0 .0 MARAKWET WEST 2 9,507 0 .1 0 .3 5 7.4 1 1.5 1 .3 0 .1 0 .5 0 .9 1 .5 8 .3 4 .7 7 .5 0 .0 0 .0 5 .9 0 .0 0 .0 NANDI 1 99,040 0 .0 0 .1 5 9.6 3 .1 3 .4 0 .4 0 .3 0 .6 2 .5 9 .7 4 .2 1 2.1 0 .0 0 .0 3 .9 0 .0 0 .0 CHESUMEI 3 9,011 0 .0 0 .1 5 4.5 2 .1 5 .4 0 .6 0 .2 0 .5 2 .2 9 .1 3 .6 2 0.9 0 .0 0 .0 0 .7 0 .0 0 .0 NANDI CENTRAL 3 4,247 0 .0 0 .1 5 6.2 3 .5 7 .0 1 .0 0 .2 0 .4 2 .2 1 0.0 3 .8 1 4.3 0 .0 0 .0 1 .3 0 .0 0 .0 NANDI EAST 2 9,249 0 .0 0 .0 3 7.9 4 .1 1 .6 0 .2 0 .7 1 .5 5 .5 1 8.6 5 .8 1 3.5 0 .0 0 .0 1 0.6 0 .0 0 .0 NANDI NORTH 3 5,257 0 .1 0 .2 7 7.9 2 .4 2 .3 0 .2 0 .0 0 .0 0 .8 5 .4 2 .8 7 .7 0 .0 - 0 .1 0 .0 0 .0 NANDI SOUTH 3 7,038 0 .0 0 .2 7 0.3 3 .1 2 .0 0 .3 0 .1 0 .2 1 .6 7 .7 5 .0 9 .2 0 .0 0 .0 0 .4 0 .0 0 .0 TINDERET 2 4,238 0 .0 0 .1 5 5.9 3 .9 1 .3 0 .1 0 .6 1 .7 3 .4 8 .8 4 .2 4 .2 0 .0 0 .0 1 5.7 0 .0 0 .0 BARINGO 1 41,877 1 .9 3 .2 3 6.5 3 .0 0 .2 0 .1 0 .3 3 .1 1 8.6 7 .3 5 .5 1 .3 0 .0 0 .1 1 8.8 0 .0 0 .0 BARINGO CENTRAL 2 3,523 0 .2 0 .2 2 3.4 1 .4 0 .4 0 .1 0 .4 3 .2 1 7.2 1 3.3 6 .7 3 .9 - 0 .0 2 9.4 0 .0 0 .0 BARINGO NORTH 2 3,345 0 .4 0 .9 4 4.4 4 .7 0 .1 0 .0 0 .2 2 .1 1 2.9 3 .9 2 .2 0 .9 - 0 .0 2 7.2 0 .0 0 .0 EAST POKOT 1 4,392 1 4.6 1 7.1 5 0.3 8 .1 0 .2 0 .3 0 .3 0 .7 3 .8 2 .6 1 .3 0 .3 0 .1 0 .0 0 .2 - - KOIBATEK 3 0,752 0 .2 0 .0 2 1.4 1 .1 0 .4 0 .1 0 .7 8 .1 7 .7 1 1.1 1 0.7 1 .3 - 0 .1 3 7.1 0 .0 0 .0 MARIGAT 1 9,658 0 .3 0 .9 2 4.4 2 .8 0 .1 0 .0 0 .2 2 .0 5 5.2 2 .9 2 .1 0 .5 0 .0 0 .1 8 .4 0 .0 0 .0 MOGOTIO 1 8,169 0 .0 0 .1 4 9.2 1 .3 0 .3 0 .0 0 .2 0 .6 2 6.8 9 .4 9 .5 0 .8 0 .0 0 .0 1 .8 0 .0 - TIATY EAST 1 2,038 2 .4 1 3.5 6 9.4 4 .8 0 .1 0 .1 0 .1 0 .5 5 .6 1 .6 1 .0 0 .5 0 .0 0 .2 0 .1 - 0 .0 LAIKIPIA 1 45,776 0 .4 0 .2 1 9.7 1 .0 0 .3 0 .1 0 .8 8 .3 9 .3 1 1.9 1 4.4 1 .4 0 .0 0 .5 3 1.7 0 .0 0 .0 LAIKIPIA CENTRAL 2 9,877 0 .1 0 .0 1 .0 0 .2 0 .0 0 .0 0 .8 9 .7 1 4.2 1 0.6 1 7.0 0 .9 0 .0 0 .2 4 5.0 0 .0 0 .0 LAIKIPIA EAST 3 1,311 0 .7 0 .1 1 0.2 1 .3 0 .4 0 .0 1 .7 8 .9 6 .3 2 0.7 1 6.1 2 .4 0 .1 0 .2 3 1.0 0 .0 0 .0 LAIKIPIA NORTH 7 ,694 2 .1 1 .8 5 7.1 3 .7 0 .3 0 .2 0 .4 4 .5 3 .6 6 .9 6 .8 0 .5 0 .1 4 .8 7 .3 - 0 .0 LAIKIPIA WEST 3 2,821 0 .4 0 .4 4 8.0 1 .1 0 .5 0 .2 0 .3 4 .1 9 .4 6 .8 8 .0 0 .9 0 .1 0 .6 1 9.2 0 .0 0 .0 NYAHURURU 4 4,073 0 .1 0 .0 1 1.4 0 .6 0 .4 0 .1 0 .7 1 0.7 8 .8 1 1.2 1 7.5 1 .6 0 .0 0 .1 3 6.7 0 .0 0 .0 282

Page 296

Table 2.13: Percentage Distribution of Conventional Households by Dominant Wall Material of Main Dwelling Unit, Area of Residence, County and Sub-County Type of Wall Material (%) Conventional County/ Sub-County Households Cane/ Off cuts/ Stone with Palm/ Grass/ Mud/ Cow Stone with Covered Uncovered Plywood/ Reused wood/ Iron Concrete/ Concrete lime/ Canvas/ Nylon/ Prefabricated Not Trunks Reeds dung mud adobe adobe Cardboard Wood planks sheets blocks/ Precast wall Cement Bricks Tents Cartons Timber pannels Stated NAKURU 5 98,237 0 .1 0 .1 2 4.6 2 .4 1 .3 0 .2 0 .4 2 .8 6 .4 1 7.9 3 2.5 2 .6 0 .0 0 .1 8 .5 0 .0 0 .0 GILGIL 4 9,405 0 .1 0 .0 2 6.7 1 .8 0 .5 0 .2 0 .4 1 .4 1 4.1 1 4.9 3 3.8 1 .7 0 .0 0 .1 4 .2 0 .2 0 .0 KURESOI NORTH 4 0,168 0 .1 0 .2 5 4.9 1 .3 0 .2 0 .0 0 .7 6 .3 3 .7 2 .4 4 .6 2 .8 0 .1 0 .1 2 2.5 0 .0 0 .0 KURESOI SOUTH 3 4,543 0 .1 0 .4 3 5.3 0 .5 0 .1 0 .0 0 .5 6 .1 1 .2 4 .4 3 .1 2 .4 0 .0 0 .6 4 5.1 0 .0 0 .0 MOLO 4 1,439 0 .1 0 .1 2 7.0 1 .1 0 .9 0 .1 1 .2 1 0.8 3 .5 1 0.3 1 7.1 2 .9 0 .0 0 .1 2 4.8 0 .0 0 .0 NAIVASHA 1 11,493 0 .2 0 .1 8 .4 2 .2 1 .2 0 .1 0 .4 1 .8 1 0.5 2 1.4 4 6.6 3 .3 0 .0 0 .2 3 .5 0 .0 0 .0 NAKURU EAST 6 0,066 0 .0 0 .0 6 .1 2 .7 1 .9 0 .2 0 .2 0 .6 2 .3 3 4.1 4 8.5 2 .4 0 .0 0 .0 0 .9 0 .0 0 .0 NAKURU NORTH 6 1,582 0 .0 0 .0 1 9.9 1 .6 1 .2 0 .2 0 .3 1 .4 3 .4 1 7.9 4 9.6 1 .9 0 .0 0 .0 2 .5 0 .0 0 .0 NAKURU WEST 6 4,429 0 .0 0 .0 1 0.0 6 .6 2 .7 0 .3 0 .2 0 .3 2 .3 3 6.0 3 7.6 3 .3 0 .0 0 .0 0 .6 0 .0 0 .0 NJORO 6 1,156 0 .1 0 .1 5 3.7 2 .1 0 .9 0 .1 0 .5 2 .7 5 .7 8 .6 1 8.7 1 .2 0 .0 0 .1 5 .7 0 .0 0 .0 RONGAI 5 2,248 0 .0 0 .0 3 4.2 2 .3 2 .5 0 .7 0 .3 1 .0 8 .7 1 2.9 3 1.1 3 .8 0 .0 0 .2 2 .2 0 .0 0 .0 SUBUKIA 2 1,708 0 .1 0 .0 2 8.6 1 .7 0 .5 0 .1 0 .4 6 .3 1 6.3 1 0.8 1 9.7 1 .4 0 .3 0 .0 1 3.8 0 .0 0 .0 NAROK 2 38,115 0 .4 0 .7 6 0.7 1 .9 0 .8 0 .1 0 .7 1 .9 7 .6 6 .4 6 .5 2 .0 0 .1 0 .2 9 .8 0 .0 0 .0 NAROK EAST 2 4,860 1 .5 1 .2 3 8.0 1 .7 0 .5 0 .2 2 .3 3 .0 1 9.0 1 0.1 5 .3 0 .3 0 .3 1 .0 1 5.3 0 .3 0 .0 NAROK NORTH 5 9,802 0 .4 0 .3 3 1.6 1 .5 0 .6 0 .1 0 .9 4 .3 1 2.8 1 0.5 1 6.3 1 .1 0 .0 0 .2 1 9.3 0 .0 0 .0 NAROK SOUTH 4 6,549 0 .6 0 .7 7 3.8 2 .0 0 .4 0 .0 0 .4 1 .0 4 .9 2 .7 3 .1 0 .5 0 .1 0 .2 9 .7 0 .0 0 .0 NAROK WEST 3 7,782 0 .2 0 .5 7 9.3 1 .7 0 .4 0 .0 0 .3 0 .6 4 .2 5 .0 3 .8 0 .8 0 .1 0 .1 3 .0 0 .0 0 .0 TRANS MARA EAST 2 0,439 0 .1 1 .2 8 4.2 0 .9 0 .2 0 .0 0 .7 1 .2 0 .6 0 .5 0 .2 0 .8 - 0 .0 9 .3 0 .0 0 .0 TRANS MARA WEST 4 8,683 0 .1 0 .9 7 1.3 3 .0 2 .0 0 .3 0 .2 0 .3 3 .7 6 .8 3 .4 6 .6 0 .1 0 .1 1 .1 0 .0 0 .0 MAU FOREST - - - - - - - - - - - - - - - - - - KAJIADO 3 13,218 0 .4 0 .5 1 2.1 1 .3 0 .9 0 .2 0 .9 0 .7 3 2.4 2 2.4 2 1.4 3 .3 0 .1 0 .5 2 .9 0 .0 0 .0 ISINYA 7 1,395 0 .0 0 .1 0 .1 0 .7 1 .2 0 .1 0 .8 0 .2 3 5.7 3 2.4 2 5.8 2 .3 0 .0 0 .0 0 .5 0 .0 0 .1 KAJIADO CENTRAL 3 7,059 0 .3 0 .9 3 1.2 3 .9 0 .9 0 .2 0 .2 0 .3 2 8.5 1 3.8 1 5.3 3 .5 0 .1 0 .4 0 .5 0 .0 0 .0 KAJIADO NORTH 1 00,908 0 .0 0 .0 0 .1 0 .5 0 .6 0 .1 1 .0 0 .6 3 1.6 2 7.8 3 4.3 2 .5 0 .0 0 .0 0 .7 0 .0 0 .0 KAJIADO WEST 4 2,367 2 .2 1 .8 2 9.0 1 .2 0 .4 0 .1 1 .7 0 .7 3 7.8 1 2.1 1 0.4 1 .5 0 .0 0 .1 0 .8 0 .1 0 .0 LOITOKITOK 4 5,581 0 .4 1 .0 2 6.6 0 .5 0 .3 0 .1 1 .0 2 .2 3 0.2 1 1.7 3 .8 2 .6 0 .3 2 .7 1 6.6 0 .0 0 .0 MASHUURU 1 5,908 0 .1 0 .1 1 1.7 5 .4 3 .6 1 .0 0 .3 0 .2 2 3.8 2 0.5 1 2.8 1 8.4 0 .1 1 .5 0 .2 0 .1 0 .0 KERICHO 2 05,932 0 .0 0 .1 4 0.6 1 .6 1 .1 0 .2 0 .4 3 .1 8 .8 9 .9 5 .1 1 3.0 0 .0 0 .0 1 6.0 0 .0 0 .0 BELGUT 3 4,978 0 .0 0 .0 3 7.3 1 .8 2 .5 0 .4 0 .3 1 .4 6 .0 1 8.8 7 .1 1 7.9 0 .0 0 .0 6 .2 0 .0 0 .0 BURETI 4 3,098 0 .1 0 .1 5 4.1 2 .6 1 .1 0 .1 0 .5 2 .1 2 .2 6 .1 3 .4 1 7.3 0 .0 - 1 0.3 0 .0 0 .0 KERICHO EAST 4 4,246 0 .0 0 .0 2 0.8 0 .5 1 .0 0 .2 0 .4 2 .9 1 8.9 1 4.6 7 .6 1 7.0 0 .0 0 .0 1 5.8 0 .0 0 .1 KIPKELION 2 4,676 0 .0 0 .1 3 2.0 1 .6 0 .1 0 .1 0 .6 5 .0 1 8.4 2 .7 1 .3 1 .5 0 .0 0 .0 3 6.5 0 .0 0 .0 LONDIANI 3 1,739 0 .0 0 .0 3 5.1 0 .8 0 .6 0 .2 0 .6 7 .5 3 .9 9 .1 6 .7 3 .8 0 .0 0 .0 3 1.5 0 .0 0 .0 SOIN SIGOWET 2 7,195 0 .1 0 .2 6 9.8 2 .3 1 .0 0 .2 0 .2 0 .3 3 .0 4 .6 2 .9 1 4.3 0 .0 0 .0 0 .9 0 .0 0 .0 BOMET 1 87,230 0 .0 0 .1 5 1.5 1 .5 0 .5 0 .1 0 .5 2 .5 1 .3 6 .4 3 .9 8 .7 0 .1 0 .1 2 2.9 0 .0 0 .0 BOMET EAST 2 9,897 0 .0 0 .1 6 5.8 1 .6 0 .3 0 .1 0 .4 1 .9 1 .2 3 .8 3 .0 4 .4 0 .0 0 .0 1 7.5 - 0 .0 CHEPALUNGU 3 3,850 0 .1 0 .3 7 5.8 1 .2 0 .1 0 .0 0 .6 1 .8 0 .6 1 .6 1 .0 1 .8 - 0 .0 1 5.0 0 .0 0 .0 KONOIN 3 8,123 0 .0 0 .0 2 5.0 2 .6 0 .7 0 .2 0 .3 4 .3 1 .9 1 6.2 8 .4 9 .4 0 .0 0 .1 3 1.0 0 .0 0 .0 SOTIK 4 7,265 0 .0 0 .1 6 0.4 1 .0 0 .6 0 .1 0 .6 2 .1 1 .1 4 .1 2 .1 1 2.5 0 .0 0 .0 1 5.3 0 .0 0 .0 BOMET CENTRAL 3 8,095 0 .0 0 .1 3 4.3 1 .0 0 .7 0 .1 0 .7 2 .5 1 .5 5 .7 4 .8 1 2.9 0 .3 0 .2 3 5.3 0 .0 0 .0 KAKAMEGA 4 32,284 0 .0 0 .1 7 1.7 3 .2 1 .8 0 .3 0 .0 0 .0 0 .9 8 .9 3 .5 9 .4 0 .0 0 .0 0 .1 0 .0 0 .0 BUTERE 3 6,243 0 .0 0 .1 8 0.1 1 .6 1 .1 0 .1 0 .0 0 .0 0 .7 8 .7 3 .3 4 .2 0 .0 - 0 .0 - 0 .0 KAKAMEGA CENTRAL 5 1,956 0 .0 0 .0 4 4.0 3 .2 3 .1 0 .2 0 .1 0 .0 1 .9 1 9.7 6 .8 2 0.6 0 .0 - 0 .2 0 .0 0 .0 283

Page 297

Table 2.13: Percentage Distribution of Conventional Households by Dominant Wall Material of Main Dwelling Unit, Area of Residence, County and Sub-County Type of Wall Material (%) Conventional County/ Sub-County Households Cane/ Off cuts/ Stone with Palm/ Grass/ Mud/ Cow Stone with Covered Uncovered Plywood/ Reused wood/ Iron Concrete/ Concrete lime/ Canvas/ Nylon/ Prefabricated Not Trunks Reeds dung mud adobe adobe Cardboard Wood planks sheets blocks/ Precast wall Cement Bricks Tents Cartons Timber pannels Stated KAKAMEGA EAST 3 9,589 0 .0 0 .1 7 7.1 3 .1 1 .4 0 .1 0 .0 0 .0 1 .0 6 .8 3 .0 7 .2 - 0 .0 0 .0 0 .0 0 .1 KAKAMEGA NORTH 5 0,952 0 .0 0 .1 7 5.2 3 .0 2 .5 0 .8 0 .0 0 .0 0 .5 6 .9 3 .1 7 .8 0 .0 0 .0 0 .0 0 .0 0 .0 KAKAMEGA SOUTH 2 6,940 0 .0 0 .1 8 1.3 1 .8 1 .0 0 .1 0 .0 0 .0 0 .7 6 .2 3 .6 4 .9 0 .0 - 0 .2 0 .0 0 .0 KHWISERO 2 7,681 0 .0 0 .1 8 0.4 1 .8 2 .8 0 .2 0 .0 0 .0 0 .6 6 .6 3 .6 3 .8 0 .0 0 .0 0 .0 - 0 .0 LIKUYANI 3 4,776 0 .0 0 .1 6 0.1 6 .7 1 .5 0 .2 0 .0 0 .0 1 .4 8 .8 2 .7 1 8.4 0 .0 0 .0 0 .1 0 .0 0 .0 LUGARI 2 7,817 0 .0 0 .1 7 0.5 3 .5 2 .8 0 .4 0 .0 0 .0 0 .8 7 .1 2 .6 1 1.9 0 .0 0 .0 0 .3 0 .0 0 .0 MATETE 1 3,956 0 .0 0 .4 7 5.4 6 .4 1 .3 0 .2 - 0 .0 0 .9 5 .7 2 .6 6 .7 0 .0 - 0 .0 0 .2 - MATUNGU 3 6,414 0 .2 0 .1 7 8.4 3 .5 1 .0 0 .2 0 .0 0 .0 0 .9 5 .8 3 .3 6 .5 - - 0 .0 0 .0 0 .0 MUMIAS EAST 2 5,995 0 .0 0 .2 7 8.7 3 .0 0 .6 0 .1 - 0 .0 0 .8 6 .8 2 .6 7 .2 0 .0 - 0 .0 0 .0 0 .0 MUMIAS WEST 2 7,650 0 .0 0 .2 6 5.8 2 .1 1 .9 0 .1 0 .0 0 .0 0 .8 1 4.7 4 .2 1 0.1 0 .0 - 0 .0 0 .0 0 .0 NAVAKHOLO 3 2,315 0 .1 0 .2 8 2.8 3 .4 1 .4 0 .5 - 0 .0 0 .5 4 .5 2 .0 4 .7 0 .0 - 0 .0 0 .0 0 .0 VIHIGA 1 43,288 0 .1 0 .1 7 0.4 2 .7 3 .2 0 .3 0 .0 0 .0 0 .6 9 .3 3 .3 1 0.0 0 .0 0 .0 0 .1 0 .0 0 .0 EMUHAYA 2 3,803 0 .3 0 .0 7 9.2 1 .4 2 .0 0 .1 - 0 .0 0 .6 9 .1 2 .5 4 .6 - 0 .0 0 .0 - 0 .0 VIHIGA 2 3,359 0 .0 0 .0 6 6.1 2 .8 4 .6 0 .5 - 0 .1 0 .7 1 0.7 4 .1 1 0.1 0 .0 - 0 .3 0 .0 0 .0 SABATIA 3 1,391 0 .0 0 .1 7 0.3 1 .6 2 .8 0 .3 0 .0 0 .0 0 .7 1 0.3 2 .8 1 1.1 - - 0 .0 0 .0 0 .0 LUANDA 2 6,766 0 .0 0 .0 6 7.8 3 .2 3 .1 0 .2 0 .0 0 .0 0 .7 1 1.4 4 .6 8 .8 0 .0 0 .0 0 .0 - 0 .0 HAMISI 3 7,965 0 .0 0 .1 6 9.3 3 .8 3 .4 0 .3 0 .0 0 .0 0 .6 6 .2 3 .0 1 3.3 0 .0 0 .0 0 .0 - 0 .0 KAKAMEGA FOREST 4 - - - - - - - - 5 0.0 - - 2 5.0 - - 2 5.0 - - BUNGOMA 3 57,714 0 .1 0 .2 5 9.5 1 0.7 3 .1 0 .9 0 .0 0 .1 0 .9 7 .1 3 .5 1 3.7 0 .0 0 .0 0 .2 0 .0 0 .0 BUMULA 4 4,922 0 .1 0 .3 7 0.7 9 .4 3 .2 2 .1 0 .0 0 .0 0 .8 3 .6 2 .5 7 .3 0 .0 0 .0 0 .0 0 .0 0 .0 BUNGOMA CENTRAL 3 7,535 0 .1 0 .2 5 7.5 1 7.9 2 .2 0 .6 0 .1 0 .0 0 .9 4 .4 2 .7 1 3.2 0 .0 - 0 .2 0 .0 0 .0 BUNGOMA EAST 2 4,798 0 .0 0 .0 6 2.9 6 .8 3 .5 0 .5 0 .0 0 .0 0 .9 8 .2 3 .6 1 3.5 0 .0 0 .0 0 .0 0 .0 0 .0 BUNGOMA NORTH 2 4,940 0 .0 0 .2 6 8.1 5 .9 2 .4 0 .8 - 0 .0 0 .6 3 .9 2 .1 1 5.9 0 .0 0 .0 0 .0 0 .0 0 .0 BUNGOMA SOUTH 6 9,088 0 .1 0 .1 4 5.9 7 .6 4 .4 0 .6 0 .0 0 .0 1 .2 1 3.2 5 .8 2 0.8 0 .0 0 .0 0 .0 0 .0 0 .0 CHEPTAIS 2 6,007 0 .1 0 .2 6 4.1 1 5.4 2 .3 0 .8 0 .1 0 .7 0 .7 5 .0 2 .9 6 .0 0 .0 0 .0 1 .5 - 0 .0 KIMILILI 3 5,053 0 .0 0 .2 6 2.7 7 .8 3 .4 0 .7 0 .1 0 .0 1 .0 7 .4 2 .7 1 3.8 0 .0 0 .0 0 .0 0 .0 0 .0 MT. ELGON 1 5,230 0 .1 0 .2 4 6.8 2 8.8 1 .2 0 .6 0 .1 0 .5 0 .9 7 .1 8 .3 5 .2 - 0 .0 0 .3 0 .0 0 .0 BUNGOMA WEST 2 5,166 0 .0 0 .1 5 4.3 1 6.5 4 .3 2 .4 0 .0 0 .0 0 .9 4 .1 2 .4 1 4.8 0 .0 - 0 .0 0 .0 0 .0 TONGAREN 2 1,343 0 .0 0 .1 6 0.9 1 0.4 3 .6 0 .7 0 .0 0 .0 0 .6 4 .2 1 .7 1 7.7 0 .0 - 0 .0 0 .0 0 .0 WEBUYE WEST 3 2,834 0 .0 0 .1 6 7.2 4 .0 2 .2 0 .4 0 .0 0 .0 0 .8 9 .2 2 .9 1 3.1 0 .0 - 0 .1 0 .0 0 .0 MT. ELGON FOREST 7 98 - 1 .5 9 7.7 0 .4 - - - - 0 .1 0 .3 - - - - - - - BUSIA 1 97,944 0 .1 0 .2 6 0.8 4 .0 3 .3 0 .7 0 .0 0 .1 0 .9 7 .9 5 .1 1 6.7 0 .0 0 .0 0 .1 0 .0 0 .0 BUNYALA 1 9,028 0 .1 0 .7 6 3.3 4 .4 3 .1 0 .3 0 .0 0 .0 1 .6 9 .2 9 .8 7 .0 0 .0 0 .0 0 .4 - 0 .0 BUSIA 3 3,152 0 .0 0 .1 5 1.0 3 .3 4 .6 0 .5 0 .0 0 .1 1 .1 1 3.6 6 .1 1 9.4 0 .0 0 .0 0 .0 0 .0 0 .0 BUTULA 3 2,199 0 .0 0 .2 7 2.7 2 .4 2 .1 0 .4 0 .0 0 .1 0 .7 6 .4 5 .3 9 .6 0 .0 0 .0 0 .2 0 .0 0 .0 NAMBALE 2 3,889 0 .0 0 .3 7 0.4 2 .8 1 .7 0 .2 0 .0 0 .0 0 .7 6 .0 3 .3 1 4.5 - - 0 .1 - 0 .0 SAMIA 2 3,813 0 .0 0 .1 6 6.1 3 .1 2 .7 0 .4 0 .0 0 .0 0 .7 8 .0 7 .1 1 1.7 0 .0 0 .0 0 .0 - - TESO NORTH 2 9,314 0 .1 0 .1 4 7.4 5 .7 4 .3 2 .2 0 .0 0 .1 0 .9 5 .3 2 .3 3 1.5 0 .0 0 .0 0 .0 0 .0 0 .0 TESO SOUTH 3 6,549 0 .1 0 .2 5 9.1 5 .8 3 .9 0 .5 0 .0 0 .3 0 .8 6 .8 3 .5 1 8.6 0 .0 0 .0 0 .3 0 .0 0 .0 SIAYA 2 49,341 0 .0 0 .1 5 7.6 3 .8 5 .9 0 .8 0 .0 0 .0 1 .7 1 3.0 8 .2 8 .5 0 .0 0 .0 0 .1 0 .0 0 .0 SIAYA 5 7,386 0 .0 0 .1 5 8.2 3 .3 6 .2 0 .9 0 .0 0 .0 1 .6 1 0.1 7 .2 1 2.2 0 .0 - 0 .0 0 .0 0 .1 GEM 4 4,696 0 .0 0 .2 6 7.3 2 .3 3 .8 0 .4 0 .0 0 .0 1 .2 1 2.1 5 .9 6 .5 0 .0 0 .0 0 .1 0 .0 0 .0 UGENYA 3 3,554 0 .0 0 .1 6 7.0 2 .5 6 .1 0 .6 0 .0 - 0 .8 9 .3 5 .4 8 .2 0 .0 0 .0 0 .0 0 .0 0 .0 284

Page 298

Table 2.13: Percentage Distribution of Conventional Households by Dominant Wall Material of Main Dwelling Unit, Area of Residence, County and Sub-County Type of Wall Material (%) Conventional County/ Sub-County Households Cane/ Off cuts/ Stone with Palm/ Grass/ Mud/ Cow Stone with Covered Uncovered Plywood/ Reused wood/ Iron Concrete/ Concrete lime/ Canvas/ Nylon/ Prefabricated Not Trunks Reeds dung mud adobe adobe Cardboard Wood planks sheets blocks/ Precast wall Cement Bricks Tents Cartons Timber pannels Stated UGUNJA 2 6,321 0 .0 0 .1 6 2.9 3 .3 2 .8 0 .4 0 .0 0 .0 1 .0 1 1.4 7 .3 1 0.5 0 .0 0 .0 0 .0 0 .0 0 .0 BONDO 5 0,454 0 .0 0 .1 4 4.1 5 .2 9 .0 1 .0 0 .0 0 .0 3 .0 1 7.3 1 1.3 8 .5 0 .0 0 .0 0 .2 0 .1 0 .0 RARIEDA 3 6,930 0 .0 0 .1 5 1.0 5 .9 6 .1 1 .2 0 .0 0 .1 2 .0 1 7.4 1 1.8 4 .0 0 .0 0 .0 0 .3 0 .0 0 .1 KISUMU 2 96,846 0 .0 0 .1 4 3.3 6 .2 3 .5 0 .5 0 .2 0 .1 8 .1 1 8.4 8 .9 1 0.6 0 .0 0 .0 0 .1 0 .0 0 .0 KISUMU EAST 6 1,499 0 .0 0 .1 3 6.9 8 .1 3 .0 0 .5 0 .3 0 .1 1 0.9 1 6.4 8 .9 1 4.5 0 .0 0 .0 0 .1 0 .0 0 .0 KISUMU CENTRAL 5 2,163 0 .0 0 .0 7 .4 8 .6 4 .6 0 .4 0 .4 0 .1 1 0.4 3 9.8 1 6.2 1 1.9 0 .0 0 .0 0 .1 0 .0 0 .0 KISUMU WEST 4 2,785 0 .0 0 .1 3 7.6 7 .2 5 .1 0 .7 0 .1 0 .1 7 .8 1 8.3 1 0.8 1 2.0 0 .0 - 0 .1 0 .0 0 .0 SEME 2 9,404 0 .0 0 .1 5 2.3 5 .7 5 .6 0 .8 0 .1 0 .0 1 .5 1 7.1 1 2.3 4 .4 0 .0 0 .0 0 .0 0 .0 0 .0 MUHORONI 3 6,982 0 .0 0 .1 5 9.1 4 .3 1 .4 0 .2 0 .1 0 .1 1 3.1 1 2.0 4 .3 5 .0 0 .0 0 .0 0 .3 0 .0 0 .0 NYANDO 3 8,460 0 .0 0 .1 6 6.3 2 .9 1 .3 0 .3 0 .1 0 .1 6 .6 8 .2 3 .6 1 0.4 0 .0 0 .0 0 .0 0 .1 0 .0 NYAKACH 3 5,553 0 .0 0 .1 6 5.1 3 .9 3 .6 0 .6 0 .0 0 .0 2 .1 9 .1 3 .8 1 1.7 0 .0 - 0 .0 0 .0 0 .0 HOMA BAY 2 60,290 0 .1 0 .2 5 8.4 3 .1 2 .9 0 .5 0 .1 0 .0 1 0.7 1 0.4 5 .8 7 .6 0 .0 0 .0 0 .1 0 .0 0 .0 HOMA BAY 2 8,471 0 .0 0 .1 3 6.2 3 .5 2 .8 0 .6 0 .1 0 .1 3 2.3 1 2.7 5 .0 6 .3 0 .0 0 .0 0 .1 0 .0 0 .0 NDHIWA 4 7,956 0 .2 0 .3 7 3.0 2 .6 2 .2 0 .3 0 .0 0 .0 5 .6 7 .2 2 .6 5 .9 0 .0 0 .0 0 .0 0 .0 0 .0 RACHUONYO NORTH 4 1,661 0 .0 0 .1 5 9.1 3 .8 4 .9 0 .6 0 .0 0 .0 3 .4 1 0.6 1 0.1 7 .2 0 .0 0 .0 0 .0 0 .0 0 .0 RACHUONYO EAST 2 7,229 0 .0 0 .1 6 2.0 3 .1 4 .5 0 .7 0 .0 0 .0 1 .2 7 .9 6 .5 1 3.3 0 .0 0 .0 0 .4 0 .0 0 .0 RACHUONYO SOUTH 3 0,693 0 .0 0 .1 5 3.5 3 .2 4 .6 0 .6 0 .0 0 .1 2 .0 1 3.5 5 .9 1 6.2 0 .0 - 0 .0 0 .0 0 .0 RANGWE 2 6,983 0 .1 0 .3 6 8.6 5 .8 1 .7 0 .3 0 .1 0 .0 2 .0 1 0.0 5 .2 5 .8 0 .0 0 .0 0 .0 0 .0 0 .0 SUBA NORTH 2 9,662 0 .1 0 .2 4 7.9 1 .3 1 .2 0 .2 0 .1 0 .0 2 5.4 1 3.6 5 .8 4 .1 0 .0 0 .0 0 .0 0 .0 0 .0 SUBA SOUTH 2 7,635 0 .1 0 .2 5 8.0 2 .0 1 .2 0 .2 0 .0 0 .1 2 0.2 9 .1 5 .9 2 .9 0 .0 0 .0 0 .0 0 .0 0 .0 MIGORI 2 38,133 0 .1 0 .2 5 6.8 3 .9 4 .5 0 .8 0 .0 0 .1 2 .7 8 .9 4 .8 1 6.8 0 .0 0 .0 0 .3 0 .0 0 .0 AWENDO 2 7,014 0 .0 0 .1 5 7.3 3 .3 3 .2 0 .4 0 .0 0 .1 2 .8 1 1.5 5 .3 1 5.6 0 .0 0 .0 0 .3 0 .0 0 .0 KURIA EAST 1 7,267 0 .3 0 .7 8 2.0 2 .6 1 .7 0 .2 0 .0 0 .0 1 .1 3 .7 1 .9 5 .7 0 .0 0 .0 0 .1 0 .0 0 .0 KURIA WEST 3 9,723 0 .2 0 .3 6 2.7 2 .9 3 .1 0 .3 0 .0 0 .0 1 .6 5 .1 2 .6 2 1.1 0 .0 0 .0 0 .0 0 .0 0 .0 NYATIKE 3 9,358 0 .3 0 .1 4 9.9 2 .6 6 .2 1 .3 0 .0 0 .4 8 .2 7 .8 5 .3 1 6.8 0 .0 0 .0 1 .0 0 .0 0 .0 RONGO 2 9,007 0 .0 0 .0 5 2.6 3 .4 4 .9 0 .5 0 .0 0 .0 2 .3 1 1.7 4 .6 1 9.9 0 .0 - 0 .0 0 .0 0 .0 SUNA EAST 2 7,214 0 .0 0 .1 4 9.4 4 .4 4 .2 0 .8 0 .0 0 .0 1 .1 1 3.8 6 .0 1 9.9 0 .0 0 .0 0 .0 0 .0 0 .1 SUNA WEST 2 8,839 0 .2 0 .1 4 3.3 5 .6 8 .7 1 .7 0 .0 0 .1 1 .2 1 1.1 7 .3 1 9.5 0 .0 0 .0 1 .0 0 .0 0 .0 URIRI 2 9,711 0 .0 0 .1 6 6.6 6 .9 2 .9 0 .7 0 .0 0 .0 1 .3 6 .5 5 .0 9 .9 0 .0 0 .0 0 .0 0 .0 0 .0 KISII 3 07,254 0 .0 0 .1 6 0.3 3 .7 2 .9 0 .5 0 .0 0 .1 1 .8 6 .3 2 .9 2 1.0 0 .0 0 .0 0 .2 0 .0 0 .0 ETAGO 1 8,610 0 .0 0 .2 7 7.1 6 .8 1 .8 0 .2 0 .0 0 .0 1 .1 3 .6 2 .3 6 .7 0 .0 - 0 .1 - 0 .0 GUCHA 1 9,621 0 .0 0 .1 6 5.0 2 .7 3 .9 0 .9 0 .0 0 .1 1 .0 6 .7 1 .8 1 7.8 0 .0 0 .0 0 .1 0 .0 0 .0 GUCHA SOUTH 1 9,627 0 .1 0 .1 7 0.2 6 .7 1 .6 0 .4 - 0 .0 0 .9 4 .6 2 .5 1 2.3 0 .0 - 0 .6 0 .0 0 .0 KENYENYA 3 0,985 0 .1 0 .1 6 7.3 2 .5 2 .0 0 .3 0 .1 0 .1 1 .2 4 .6 2 .1 1 9.5 0 .0 - 0 .1 - 0 .0 KISII CENTRAL 4 4,037 0 .0 0 .0 3 9.9 2 .4 4 .2 0 .5 0 .1 0 .1 4 .1 9 .5 4 .4 3 4.5 0 .0 - 0 .3 0 .0 0 .0 KISII SOUTH 3 1,574 0 .0 0 .2 6 4.1 5 .2 1 .9 0 .3 0 .0 0 .1 1 .5 7 .5 4 .0 1 4.8 0 .0 0 .0 0 .3 0 .0 0 .0 KITUTU CENTRAL 4 1,233 0 .0 0 .0 4 1.9 2 .0 6 .0 1 .0 0 .0 0 .1 2 .9 1 0.6 3 .6 3 1.5 0 .0 0 .0 0 .1 0 .0 0 .0 MARANI 2 6,133 0 .0 0 .1 7 9.2 5 .2 1 .9 0 .3 0 .0 0 .0 0 .7 3 .0 1 .7 7 .8 0 .0 0 .0 0 .1 0 .0 0 .0 MASABA SOUTH 2 9,206 0 .0 0 .0 6 1.3 3 .0 1 .9 0 .4 0 .0 0 .0 1 .0 3 .6 2 .6 2 5.9 0 .0 - 0 .1 0 .0 0 .0 NYAMACHE 3 0,583 0 .0 0 .1 6 2.6 4 .4 2 .8 0 .5 0 .0 0 .1 1 .3 4 .7 2 .3 2 1.0 0 .0 0 .0 0 .1 0 .0 0 .0 SAMETA 1 5,645 0 .1 0 .6 6 7.5 2 .7 1 .5 0 .4 0 .0 0 .0 1 .3 6 .4 2 .6 1 6.7 - 0 .0 0 .1 0 .0 0 .0 285

Page 299

Table 2.13: Percentage Distribution of Conventional Households by Dominant Wall Material of Main Dwelling Unit, Area of Residence, County and Sub-County Type of Wall Material (%) Conventional County/ Sub-County Households Cane/ Off cuts/ Stone with Palm/ Grass/ Mud/ Cow Stone with Covered Uncovered Plywood/ Reused wood/ Iron Concrete/ Concrete lime/ Canvas/ Nylon/ Prefabricated Not Trunks Reeds dung mud adobe adobe Cardboard Wood planks sheets blocks/ Precast wall Cement Bricks Tents Cartons Timber pannels Stated NYAMIRA 1 50,499 0 .0 0 .1 6 0.3 5 .8 3 .3 0 .6 0 .1 0 .2 1 .2 5 .3 2 .4 2 0.3 0 .0 0 .0 0 .4 0 .0 0 .0 BORABU 1 9,404 0 .1 0 .1 4 1.6 3 .2 2 .3 0 .6 0 .1 0 .4 2 .3 1 0.8 2 .6 3 4.4 0 .0 - 1 .5 0 .0 0 .0 MANGA 2 3,836 0 .0 0 .1 6 3.9 3 .3 3 .4 0 .5 0 .0 0 .1 1 .4 4 .6 2 .4 1 9.9 0 .1 0 .0 0 .1 0 .0 0 .0 MASABA NORTH 2 7,904 0 .1 0 .1 6 3.0 3 .3 3 .2 0 .7 0 .0 0 .1 1 .3 3 .4 2 .6 2 2.1 0 .0 - 0 .1 0 .0 0 .0 NYAMIRA NORTH 4 0,396 0 .0 0 .1 6 4.7 1 0.6 3 .8 0 .5 0 .0 0 .1 0 .7 4 .4 2 .2 1 2.6 0 .0 0 .0 0 .3 0 .0 0 .0 NYAMIRA SOUTH 3 8,959 0 .0 0 .1 6 1.0 5 .5 3 .2 0 .7 0 .1 0 .2 1 .1 5 .4 2 .3 2 0.2 0 .0 0 .0 0 .2 0 .0 0 .0 NAIROBI CITY 1 ,494,676 0 .0 0 .0 1 .6 1 .1 0 .8 0 .1 0 .2 0 .3 2 6.3 4 0.3 2 6.2 2 .5 0 .0 0 .0 0 .4 0 .1 0 .1 DAGORETTI 1 54,949 0 .0 0 .0 0 .1 0 .2 0 .9 0 .1 0 .5 0 .6 5 3.4 2 3.6 1 6.9 2 .3 0 .0 0 .0 1 .3 0 .0 0 .1 EMBAKASI 3 46,462 0 .0 0 .0 0 .0 0 .1 0 .6 0 .0 0 .1 0 .1 2 3.8 4 5.6 2 7.4 2 .2 0 .0 0 .0 0 .1 0 .1 0 .0 KAMUKUNJI 8 3,680 0 .0 0 .0 3 .8 1 .2 0 .9 0 .1 0 .4 0 .2 3 0.7 4 0.1 1 9.1 3 .1 0 .0 0 .0 0 .3 0 .1 0 .1 KASARANI 2 68,611 0 .0 0 .0 0 .8 0 .7 0 .7 0 .1 0 .1 0 .2 1 1.4 4 9.7 3 3.8 2 .1 0 .0 0 .0 0 .3 0 .0 0 .0 KIBRA 6 1,651 0 .0 0 .0 2 3.5 1 2.9 2 .2 0 .4 0 .4 0 .4 2 3.1 1 8.7 1 6.0 1 .7 0 .0 0 .1 0 .4 0 .0 0 .0 LANG’ATA 6 0,187 0 .0 0 .0 5 .3 2 .9 1 .4 0 .2 0 .5 0 .5 2 3.6 3 7.4 2 4.0 3 .1 0 .0 0 .3 0 .6 0 .0 0 .1 MAKADARA 7 0,080 0 .0 0 .0 0 .1 0 .7 0 .7 0 .2 0 .4 0 .2 4 8.5 3 0.7 1 6.8 1 .5 0 .0 0 .0 0 .2 0 .0 0 .0 MATHARE 7 4,967 0 .0 0 .0 1 .0 0 .7 0 .3 0 .1 0 .2 0 .2 3 2.7 4 2.8 1 9.4 2 .3 0 .0 0 .0 0 .3 0 .0 0 .1 NJIRU 2 04,492 0 .0 0 .0 0 .1 0 .5 1 .3 0 .1 0 .1 0 .2 1 0.5 4 2.6 4 0.6 3 .7 0 .0 0 .0 0 .2 0 .1 0 .1 STAREHE 6 6,108 0 .0 0 .0 0 .1 0 .3 0 .8 0 .0 0 .5 0 .2 3 6.1 4 3.8 1 5.2 2 .5 0 .0 0 .0 0 .2 0 .0 0 .1 WESTLANDS 1 03,489 0 .0 0 .0 0 .0 0 .3 0 .4 0 .0 0 .4 0 .8 3 7.5 3 6.2 1 9.8 2 .7 0 .0 0 .0 1 .5 0 .2 0 .0 286

Page 300

Table 2.14: Percentage Distribution of Conventional Households by Dominant Floor Material of the Main Dwelling Unit, Area of Residence, County and Sub County Type of Floor Material (%) Conventional Wood County/ Sub-County Households planks/ Parquet or Vinyl or Shingles/ Palm/ polished asphalt Concrete/ Wall to wall Not Earth/ Sand Dung Timber Bamboo wood strips Ceramic tiles Cement/Terrazo Carpet Stated KENYA 1 2,043,016 3 0.0 1 3.4 0 .4 0 .1 0 .3 0 .1 1 0.3 4 3.7 1 .5 0 .0 Rural 7 ,379,282 4 2.3 2 1.1 0 .4 0 .1 0 .1 0 .1 3 .8 3 1.3 0 .7 0 .0 Urban 4 ,663,734 1 0.6 1 .4 0 .4 0 .0 0 .7 0 .3 2 0.6 6 3.3 2 .8 0 .0 MOMBASA 3 76,295 1 3.1 0 .3 0 .1 0 .0 0 .2 0 .1 1 9.6 6 2.3 4 .1 0 .0 CHANGAMWE 4 6,439 1 0.1 0 .2 0 .1 0 .0 0 .0 0 .2 8 .6 7 6.6 4 .1 0 .0 JOMVU 5 3,214 1 8.8 0 .8 0 .0 0 .1 0 .0 0 .3 1 0.5 6 4.7 4 .7 0 .0 KISAUNI 8 8,159 1 8.7 0 .4 0 .0 0 .0 0 .3 0 .2 2 2.3 5 4.5 3 .6 0 .0 LIKONI 8 0,002 1 1.5 0 .1 0 .3 0 .0 0 .1 0 .1 1 2.0 7 1.6 4 .3 0 .0 MVITA 3 8,710 8 .3 0 .3 0 .1 0 .0 0 .1 0 .2 4 2.0 4 5.7 3 .2 0 .1 NYALI 6 9,771 8 .3 0 .1 0 .2 0 .0 0 .3 0 .1 2 7.0 5 9.2 4 .8 0 .0 KWALE 1 72,802 5 8.6 0 .5 0 .0 0 .0 0 .1 0 .0 4 .4 3 5.1 1 .2 0 .0 KINANGO 1 6,041 8 3.7 0 .2 0 .0 0 .0 0 .0 0 .0 1 .4 1 4.2 0 .4 0 .0 LUNGALUNGA 3 7,276 7 6.5 1 .0 0 .1 0 .0 0 .1 0 .1 1 .1 2 0.9 0 .3 0 .0 MATUGA 3 9,124 5 4.9 0 .2 0 .0 - 0 .1 0 .0 5 .0 3 8.9 1 .0 0 .0 MSAMBWENI 4 5,374 2 9.5 0 .3 0 .0 0 .0 0 .0 0 .0 9 .7 5 7.7 2 .7 0 .0 SAMBURU 3 4,987 7 0.1 0 .5 0 .1 0 .2 0 .1 0 .0 2 .0 2 6.1 0 .8 0 .1 KILIFI 2 97,990 5 4.3 0 .3 0 .1 0 .0 0 .1 0 .1 5 .6 3 8.3 1 .1 0 .0 CHONYI 1 1,416 8 6.6 0 .0 0 .0 - 0 .1 - 0 .3 1 2.8 0 .1 - GANZE 2 3,197 8 6.9 0 .3 0 .0 0 .0 0 .0 0 .0 0 .5 1 2.0 0 .1 0 .1 KALOLENI 3 6,344 6 2.6 0 .5 0 .0 0 .0 0 .1 0 .0 5 .0 3 1.1 0 .7 0 .0 KAUMA 3 ,479 8 5.8 0 .1 0 .1 - - 0 .0 0 .3 1 3.6 0 .1 - KILIFI NORTH 3 9,508 4 3.5 0 .5 0 .3 0 .0 0 .1 0 .0 7 .6 4 6.8 1 .1 0 .0 KILIFI SOUTH 5 3,011 3 4.5 0 .2 0 .1 0 .1 0 .1 0 .0 1 1.8 5 0.8 2 .3 0 .0 MAGARINI 3 2,978 7 8.2 0 .2 0 .1 0 .1 0 .0 0 .0 1 .0 1 9.8 0 .6 0 .0 MALINDI 7 3,317 4 0.7 0 .1 0 .0 0 .0 0 .2 0 .1 6 .1 5 1.4 1 .3 0 .0 RABAI 2 4,740 6 0.4 0 .5 0 .0 0 .0 0 .0 0 .1 3 .2 3 4.4 1 .3 0 .0 TANA RIVER 6 6,984 7 5.2 0 .8 0 .3 0 .2 0 .1 0 .1 1 .8 2 0.3 1 .1 0 .1 TANA DELTA 2 2,395 8 2.0 0 .8 0 .3 0 .0 0 .0 - 1 .4 1 5.1 0 .3 0 .0 TANA NORTH 2 6,119 6 9.1 0 .9 0 .4 0 .4 0 .2 0 .3 1 .3 2 5.6 1 .7 0 .0 TANA RIVER 1 8,470 7 5.7 0 .8 0 .2 0 .0 0 .0 0 .0 2 .9 1 9.2 1 .1 0 .1 287

Only the first 300 pages were read.