2019 Kenya Population and Housing Census: …2019 Kenya Population and Housing Census: Volume II v In undertaking its mandate, the Bureau is guided by a Vision, Mission and Core Values.

2019 Kenya Population and Housing Census: Volume II

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VOLUME II

DISTRIBUTION OF POPULATION BY

ADMINISTRATIVE UNITS

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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

mailto:[email protected]


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KENYA COUNTIES


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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).


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In undertaking its mandate, the Bureau is guided by a Vision, Mission and Core Values.

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.


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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 August 2019. 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 – the Big Four and Vision 2030, 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 II Report is the second in the series of census publications.

It presents the distribution of enumerated population for each administrative unit

(county, sub-county, division, location and sub-location) by sex, number of

households, land area and population density. The report also presents the

distribution of the population by urban and rural areas of residence. 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


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TABLE OF CONTENTS

KENYA COUNTIES ................................................................................................................ iii

ABOUT KNBS ........................................................................................................................ iv

FOREWORD .......................................................................................................................... vi

LIST OF TABLES .................................................................................................................. viii

ACRONYMS AND ABBREVIATIONS .................................................................................... ix

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 ..................................................................................................................................... 2

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

CHAPTER 2: CENSUS RESULTS ........................................................................................... 10

2.1 Summary Findings ......................................................................................................................... 10

2.1.1 Sub-Locations with No Data ................................................................................................................... 10

2.1.2 Enumerated Population .......................................................................................................................... 10

LIST OF CONTRIBUTORS .................................................................................................. 247

APPENDICES : QUESTIONNAIRES .................................................................................... 250


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LIST OF TABLES

Table 1.1: Summary of Census Counts in Kenya ............................................................................................. 1 Table 1.2: List of Counties and Sub-Counties .................................................................................................. 7 Table 2.1: Sub-locations with no People on the Census Night by Status/Reason ....................................... 10 Table 2.2: Distribution of Population by Sex, Number of Households, Land Area, Population Density and County ............................................................................................................................................................... 11 Table 2.2a: Distribution of Rural Population by Sex, Number of Households, Land Area, Population Density and County .......................................................................................................................................... 12 Table 2.2b: Distribution of Urban Population by Sex, Number of Households, Land Area, Population Density and County .......................................................................................................................................... 13 Table 2.3: Distribution of Population by Sex, Number of Households, Land Area, Population Density and Sub County ........................................................................................................................................................ 14 Table 2.4: Distribution of Population by Sex, Number of Households, Land Area, Population Density and Sub Locations .................................................................................................................................................... 21 Table 2.5: Distribution of Population by Urban Centres, Sex and County ............................................... 241


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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

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.

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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; ▪ 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

http://www.brookings.edu/research/interactives/2013/kenya-resource-sharing


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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.

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


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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 was also introduced. Further, a detailed

set of questions on disability was included as recommended by the Washington Group.


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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 23rd August

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/25th August 2019 and ended

on 31st August 2019. A mop-up exercise was conducted on 1st and 2nd September

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 enumerated 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.


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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.

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,


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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.


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Table 1.2: List of Counties and Sub-Counties COUNTY

CODE

COUNTY NAME SUB-COUNTY

CODE

SUB-COUNTY

NAME

COUNTY

CODE


CODE

SUB-COUNTY

NAME

1 MOMBASA 101 CHANGAMWE 12 MERU 1201 BUURI EAST1 MOMBASA 102 JOMVU 12 MERU 1202 BUURI WEST1 MOMBASA 103 KISAUNI 12 MERU 1203 IGEMBE CENTRAL1 MOMBASA 104 LIKONI 12 MERU 1204 IGEMBE NORTH1 MOMBASA 105 MVITA 12 MERU 1205 IGEMBE SOUTH1 MOMBASA 106 NYALI 12 MERU 1206 IMENTI NORTH2 KWALE 201 KINANGO 12 MERU 1207 IMENTI SOUTH2 KWALE 202 LUNGA LUNGA 12 MERU 1208 MERU CENTRAL2 KWALE 203 MATUGA 12 MERU 1209 TIGANIA CENTRAL2 KWALE 204 MSAMBWENI 12 MERU 1210 TIGANIA EAST2 KWALE 205 SAMBURU 12 MERU 1211 TIGANIA WEST3 KILIFI 301 CHONYI 13 THARAKA-NITHI 1301 IGAMBANG'OMBE3 KILIFI 302 GANZE 13 THARAKA-NITHI 1302 MAARA3 KILIFI 303 KALOLENI 13 THARAKA-NITHI 1303 MERU SOUTH3 KILIFI 304 KAUMA 13 THARAKA-NITHI 1304 THARAKA NORTH3 KILIFI 305 KILIFI NORTH 13 THARAKA-NITHI 1305 THARAKA SOUTH3 KILIFI 306 KILIFI SOUTH 14 EMBU 1401 EMBU EAST3 KILIFI 307 MAGARINI 14 EMBU 1402 EMBU NORTH3 KILIFI 308 MALINDI 14 EMBU 1403 EMBU WEST3 KILIFI 309 RABAI 14 EMBU 1404 MBEERE SOUTH4 TANA RIVER 401 TANA DELTA 14 EMBU 1405 MBEERE NORTH4 TANA RIVER 402 TANA NORTH 15 KITUI 1501 IKUTHA4 TANA RIVER 403 TANA RIVER 15 KITUI 1502 KATULANI5 LAMU 501 LAMU EAST 15 KITUI 1503 KISASI5 LAMU 502 LAMU WEST 15 KITUI 1504 KITUI CENTRAL6 TAITA/TAVETA 601 MWATATE 15 KITUI 1505 KITUI WEST6 TAITA/TAVETA 602 TAITA 15 KITUI 1506 KYUSO6 TAITA/TAVETA 603 TAVETA 15 KITUI 1507 LOWER YATTA6 TAITA/TAVETA 604 VOI 15 KITUI 1508 MATINYANI7 GARISSA 701 BALAMBALA 15 KITUI 1509 MIGWANI7 GARISSA 702 DADAAB 15 KITUI 1510 MUMONI7 GARISSA 703 FAFI 15 KITUI 1511 MUTITU7 GARISSA 704 GARISSA 15 KITUI 1512 MUTITU NORTH7 GARISSA 705 HULUGHO 15 KITUI 1513 MUTOMO7 GARISSA 706 IJARA 15 KITUI 1514 MWINGI CENTRAL7 GARISSA 707 LAGDERA 15 KITUI 1515 MWINGI EAST8 WAJIR 801 BUNA 15 KITUI 1516 NZAMBANI8 WAJIR 802 ELDAS 15 KITUI 1517 THAGICU8 WAJIR 803 HABASWEIN 15 KITUI 1518 TSEIKURU8 WAJIR 804 TARBAJ 16 MACHAKOS 1601 ATHI RIVER8 WAJIR 805 WAJIR EAST 16 MACHAKOS 1602 KALAMA8 WAJIR 806 WAJIR NORTH 16 MACHAKOS 1603 KANGUNDO8 WAJIR 807 WAJIR SOUTH 16 MACHAKOS 1604 KATHIANI8 WAJIR 808 WAJIR WEST 16 MACHAKOS 1605 MACHAKOS9 MANDERA 901 MANDERA WEST 16 MACHAKOS 1606 MASINGA9 MANDERA 902 BANISA 16 MACHAKOS 1607 MATUNGULU9 MANDERA 903 KOTULO 16 MACHAKOS 1608 MWALA9 MANDERA 904 LAFEY 16 MACHAKOS 1609 YATTA9 MANDERA 905 MANDERA CENTRAL 17 MAKUENI 1701 KATHONZWENI9 MANDERA 906 MANDERA EAST 17 MAKUENI 1702 KIBWEZI9 MANDERA 907 MANDERA NORTH 17 MAKUENI 1703 KILUNGU

10 MARSABIT 1001 LOIYANGALANI 17 MAKUENI 1704 MAKINDU10 MARSABIT 1002 MARSABIT CENTRAL 17 MAKUENI 1705 MAKUENI10 MARSABIT 1003 MARSABIT NORTH 17 MAKUENI 1706 MBOONI EAST10 MARSABIT 1004 MARSABIT SOUTH 17 MAKUENI 1707 MBOONI WEST10 MARSABIT 1005 MOYALE 17 MAKUENI 1708 MUKAA10 MARSABIT 1006 NORTH HORR 17 MAKUENI 1709 NZAUI10 MARSABIT 1007 SOLOLO 18 NYANDARUA 1801 KINANGOP11 ISIOLO 1101 GARBATULLA 18 NYANDARUA 1802 NYANDARUA SOUTH11 ISIOLO 1102 ISIOLO 18 NYANDARUA 1803 MIRANGINE11 ISIOLO 1103 MERTI 18 NYANDARUA 1804 KIPIPIRI


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List of Counties and Sub-Counties Cont’

COUNTY

CODE


CODE

SUB-COUNTY

NAME

COUNTY

CODE


CODE

SUB-COUNTY

NAME

18 NYANDARUA 1805 NYANDARUA CENTRAL 28 ELGEYO/MARAKWET 2801 KEIYO NORTH18 NYANDARUA 1806 NYANDARUA WEST 28 ELGEYO/MARAKWET 2802 KEIYO SOUTH18 NYANDARUA 1807 NYANDARUA NORTH 28 ELGEYO/MARAKWET 2803 MARAKWET EAST19 NYERI 1901 TETU 28 ELGEYO/MARAKWET 2804 MARAKWET WEST19 NYERI 1902 KIENI EAST 29 NANDI 2901 CHESUMEI19 NYERI 1903 KIENI WEST 29 NANDI 2902 NANDI CENTRAL19 NYERI 1904 MATHIRA EAST 29 NANDI 2903 NANDI EAST19 NYERI 1905 MATHIRA WEST 29 NANDI 2904 NANDI NORTH19 NYERI 1906 NYERI SOUTH 29 NANDI 2905 NANDI SOUTH19 NYERI 1907 MUKURWE-INI 29 NANDI 2906 TINDERET19 NYERI 1908 NYERI CENTRAL 30 BARINGO 3001 BARINGO CENTRAL20 KIRINYAGA 2001 KIRINYAGA CENTRAL 30 BARINGO 3002 BARINGO NORTH20 KIRINYAGA 2002 KIRINYAGA EAST 30 BARINGO 3003 EAST POKOT20 KIRINYAGA 2003 KIRINYAGA WEST 30 BARINGO 3004 KOIBATEK20 KIRINYAGA 2004 MWEA EAST 30 BARINGO 3005 MARIGAT20 KIRINYAGA 2005 MWEA WEST 30 BARINGO 3006 MOGOTIO21 MURANG'A 2101 MURANG'A EAST 30 BARINGO 3007 TIATY EAST21 MURANG'A 2102 KANGEMA 30 BARINGO 3008 LAKE BARINGO21 MURANG'A 2103 MATHIOYA 31 LAIKIPIA 3101 LAIKIPIA CENTRAL21 MURANG'A 2104 KAHURO 31 LAIKIPIA 3102 LAIKIPIA EAST21 MURANG'A 2105 MURANG'A SOUTH 31 LAIKIPIA 3103 LAIKIPIA NORTH21 MURANG'A 2106 GATANGA 31 LAIKIPIA 3104 LAIKIPIA WEST21 MURANG'A 2107 KIGUMO 31 LAIKIPIA 3105 NYAHURURU21 MURANG'A 2108 KANDARA 32 NAKURU 3201 GILGIL22 KIAMBU 2201 GATUNDU NORTH 32 NAKURU 3202 KURESOI NORTH22 KIAMBU 2202 GATUNDU SOUTH 32 NAKURU 3203 KURESOI SOUTH22 KIAMBU 2203 GITHUNGURI 32 NAKURU 3204 MOLO22 KIAMBU 2204 JUJA 32 NAKURU 3205 NAIVASHA22 KIAMBU 2205 KABETE 32 NAKURU 3206 NAKURU EAST22 KIAMBU 2206 KIAMBAA 32 NAKURU 3207 NAKURU NORTH22 KIAMBU 2207 KIAMBU 32 NAKURU 3208 NAKURU WEST22 KIAMBU 2208 KIKUYU 32 NAKURU 3209 NJORO22 KIAMBU 2209 LARI 32 NAKURU 3210 RONGAI22 KIAMBU 2210 LIMURU 32 NAKURU 3211 SUBUKIA22 KIAMBU 2211 RUIRU 33 NAROK 3301 NAROK EAST22 KIAMBU 2212 THIKA EAST 33 NAROK 3302 NAROK NORTH22 KIAMBU 2213 THIKA WEST 33 NAROK 3303 NAROK SOUTH23 TURKANA 2301 KIBISH 33 NAROK 3304 NAROK WEST23 TURKANA 2302 LOIMA 33 NAROK 3305 TRANS MARA EAST23 TURKANA 2303 TURKANA CENTRAL 33 NAROK 3306 TRANS MARA WEST23 TURKANA 2304 TURKANA EAST 34 KAJIADO 3401 ISINYA23 TURKANA 2305 TURKANA NORTH 34 KAJIADO 3402 KAJIADO CENTRAL23 TURKANA 2306 TURKANA SOUTH 34 KAJIADO 3403 KAJIADO NORTH23 TURKANA 2307 TURKANA WEST 34 KAJIADO 3404 KAJIADO WEST24 WEST POKOT 2401 KIPKOMO 34 KAJIADO 3405 LOITOKITOK24 WEST POKOT 2402 POKOT CENTRAL 34 KAJIADO 3406 MASHUURU24 WEST POKOT 2403 POKOT NORTH 35 KERICHO 3501 BELGUT24 WEST POKOT 2404 POKOT SOUTH 35 KERICHO 3502 BURETI24 WEST POKOT 2405 WEST POKOT 35 KERICHO 3503 KERICHO EAST25 SAMBURU 2501 SAMBURU CENTRAL 35 KERICHO 3504 KIPKELION25 SAMBURU 2502 SAMBURU EAST 35 KERICHO 3505 LONDIANI25 SAMBURU 2503 SAMBURU NORTH 35 KERICHO 3506 SOIN SIGOWET26 TRANS NZOIA 2601 TRANS NZOIA WEST 36 BOMET 3601 BOMET EAST26 TRANS NZOIA 2602 TRANS NZOIA EAST 36 BOMET 3602 CHEPALUNGU26 TRANS NZOIA 2603 KWANZA 36 BOMET 3603 KONOIN26 TRANS NZOIA 2604 ENDEBESS 36 BOMET 3604 SOTIK26 TRANS NZOIA 2605 KIMININI 36 BOMET 3605 BOMET CENTRAL27 UASIN GISHU 2701 AINABKOI 37 KAKAMEGA 3701 BUTERE27 UASIN GISHU 2702 KAPSERET 37 KAKAMEGA 3702 KAKAMEGA CENTRAL27 UASIN GISHU 2703 KESSES 37 KAKAMEGA 3703 KAKAMEGA EAST27 UASIN GISHU 2704 MOIBEN 37 KAKAMEGA 3704 KAKAMEGA NORTH27 UASIN GISHU 2705 SOY 37 KAKAMEGA 3705 KAKAMEGA SOUTH27 UASIN GISHU 2706 TURBO 37 KAKAMEGA 3706 KHWISERO


9

List of Counties and Sub-Counties Cont’

COUNTY

CODE


CODE

SUB-COUNTY

NAME

COUNTY

CODE


CODE

SUB-COUNTY

NAME

37 KAKAMEGA 3707 LIKUYANI 43 HOMA BAY 4301 HOMA BAY37 KAKAMEGA 3708 LUGARI 43 HOMA BAY 4302 NDHIWA37 KAKAMEGA 3709 MATETE 43 HOMA BAY 4303 RACHUONYO NORTH37 KAKAMEGA 3710 MATUNGU 43 HOMA BAY 4304 RACHUONYO EAST37 KAKAMEGA 3711 MUMIAS EAST 43 HOMA BAY 4305 RACHUONYO SOUTH37 KAKAMEGA 3712 MUMIAS WEST 43 HOMA BAY 4306 RANGWE37 KAKAMEGA 3713 NAVAKHOLO 43 HOMA BAY 4307 SUBA NORTH38 VIHIGA 3801 EMUHAYA 43 HOMA BAY 4308 SUBA SOUTH38 VIHIGA 3802 VIHIGA 44 MIGORI 4401 AWENDO38 VIHIGA 3803 SABATIA 44 MIGORI 4402 KURIA EAST38 VIHIGA 3804 LUANDA 44 MIGORI 4403 KURIA WEST38 VIHIGA 3805 HAMISI 44 MIGORI 4404 NYATIKE39 BUNGOMA 3901 BUMULA 44 MIGORI 4405 RONGO39 BUNGOMA 3902 BUNGOMA CENTRAL 44 MIGORI 4406 SUNA EAST39 BUNGOMA 3903 BUNGOMA EAST 44 MIGORI 4407 SUNA WEST39 BUNGOMA 3904 BUNGOMA NORTH 44 MIGORI 4408 URIRI39 BUNGOMA 3905 BUNGOMA SOUTH 45 KISII 4501 ETAGO39 BUNGOMA 3906 CHEPTAIS 45 KISII 4502 GUCHA39 BUNGOMA 3907 KIMILILI 45 KISII 4503 GUCHA SOUTH39 BUNGOMA 3909 BUNGOMA WEST 45 KISII 4504 KENYENYA39 BUNGOMA 3910 TONGAREN 45 KISII 4505 KISII CENTRAL39 BUNGOMA 3911 WEBUYE WEST 45 KISII 4506 KISII SOUTH39 BUNGOMA 3912 MT ELGON FOREST 45 KISII 4507 KITUTU CENTRAL40 BUSIA 4001 BUNYALA 45 KISII 4508 MARANI40 BUSIA 4002 BUSIA 45 KISII 4509 MASABA SOUTH40 BUSIA 4003 BUTULA 45 KISII 4510 NYAMACHE40 BUSIA 4004 NAMBALE 45 KISII 4511 SAMETA40 BUSIA 4005 SAMIA 46 NYAMIRA 4601 BORABU40 BUSIA 4006 TESO NORTH 46 NYAMIRA 4602 MANGA40 BUSIA 4007 TESO SOUTH 46 NYAMIRA 4603 MASABA NORTH41 SIAYA 4101 SIAYA 46 NYAMIRA 4604 NYAMIRA NORTH41 SIAYA 4102 GEM 46 NYAMIRA 4605 NYAMIRA SOUTH41 SIAYA 4103 UGENYA 47 NAIROBI CITY 4701 DAGORETTI41 SIAYA 4104 UGUNJA 47 NAIROBI CITY 4702 EMBAKASI41 SIAYA 4105 BONDO 47 NAIROBI CITY 4703 KAMUKUNJI41 SIAYA 4106 RARIEDA 47 NAIROBI CITY 4704 KASARANI42 KISUMU 4201 KISUMU EAST 47 NAIROBI CITY 4705 KIBRA42 KISUMU 4202 KISUMU CENTRAL 47 NAIROBI CITY 4706 LANG'ATA42 KISUMU 4203 KISUMU WEST 47 NAIROBI CITY 4707 MAKADARA42 KISUMU 4204 SEME 47 NAIROBI CITY 4708 MATHARE42 KISUMU 4205 MUHORONI 47 NAIROBI CITY 4709 NJIRU42 KISUMU 4206 NYANDO 47 NAIROBI CITY 4710 STAREHE42 KISUMU 4207 NYAKACH 47 NAIROBI CITY 4711 WESTLANDS


10

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 T inderet 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 T inderet Forest Forest Area

Bomet Mau Forest Forest Area

Kakamega Kakamega East Forest Forest Area

2.1.2 Enumerated Population

Tables 2.2, 2.2a, 2.2b, 2.3, 2.4 and 2.5 present the distribution of enumerated

population by various attributes and administrative units. Table 2.2 provides the

distribution of population by sex, number of households, land area, population density

and county. Table 2.2a gives the distribution of rural population by sex, number of

households, land area, population density and county, while Table 2.2b shows the

distribution of urban population by sex, number of households, land area, population

density and county. Table 2.3 gives the distribution of population by sex, number of

households, land area, population density and sub-county. Table 2.4 provides the

distribution of population by sex, number of households, land area, population density

and sub-location while Table 2.5 presents the distribution of population by urban

centres, sex and county.

A total of 47,564,296 persons were enumerated during the census, comprising

23,548,056 males, 24,014,716 females and 1,524 intersex. This represented an inter-

censal growth rate of 2.2 per cent compared to a growth of 2.9 per cent in the 2009

census. Similarly, 32,732,596 were enumerated in rural areas and 14,831,700 in urban

areas. Note that in this report, the intersex figures are too few to be distributed at sub

national level and totals may therefore differ slightly from national aggregate.


Table 2.2: Distribution of Population by Sex, Number of Households, Land Area, Population Density and County

Land Area Density

County Total Male Female Intersex Total Conventional Group

Quarters Sq. Km

Persons

per Sq. Km

KENYA 47,564,296 23,548,056 24,014,716 1,524 12,143,913 12,043,016 100,897 580,895 82

MOMBASA 1,208,333 610,257 598,046 30 378,422 376,295 2,127 220 5,495

KWALE 866,820 425,121 441,681 18 173,176 172,802 374 8,254 105

KILIFI 1,453,787 704,089 749,673 25 298,472 297,990 482 12,553 116

TANA RIVER 315,943 158,550 157,391 2 68,242 66,984 1,258 37,904 8

LAMU 143,920 76,103 67,813 4 37,963 34,231 3,732 6,283 23

TAITA/TAVETA 340,671 173,337 167,327 7 96,429 94,468 1,961 17,152 20

GARISSA 841,353 458,975 382,344 34 141,394 138,940 2,454 44,753 19

WAJIR 781,263 415,374 365,840 49 127,932 126,878 1,054 56,774 14

MANDERA 867,457 434,976 432,444 37 125,763 123,954 1,809 25,942 33

MARSABIT 459,785 243,548 216,219 18 77,495 76,689 806 70,944 6

ISIOLO 268,002 139,510 128,483 9 58,072 53,217 4,855 25,349 11

MERU 1,545,714 767,698 777,975 41 426,360 423,931 2,429 7,014 220

THARAKA-NITHI 393,177 193,764 199,406 7 109,860 109,450 410 2,564 153

EMBU 608,599 304,208 304,367 24 182,743 182,427 316 2,821 216

KITUI 1,136,187 549,003 587,151 33 262,942 261,814 1,128 30,430 37

MACHAKOS 1,421,932 710,707 711,191 34 402,466 399,523 2,943 6,037 236

MAKUENI 987,653 489,691 497,942 20 244,669 243,979 690 8,177 121

NYANDARUA 638,289 315,022 323,247 20 179,686 178,224 1,462 3,286 194

NYERI 759,164 374,288 384,845 31 248,050 244,564 3,486 3,325 228

KIRINYAGA 610,411 302,011 308,369 31 204,188 203,576 612 1,478 413

MURANG'A 1,056,640 523,940 532,669 31 318,105 317,496 609 2,523 419

KIAMBU 2,417,735 1,187,146 1,230,454 135 795,241 792,333 2,908 2,539 952

TURKANA 926,976 478,087 448,868 21 164,519 162,627 1,892 68,233 14

WEST POKOT 621,241 307,013 314,213 15 116,182 115,761 421 9,123 68

SAMBURU 310,327 156,774 153,546 7 65,910 63,951 1,959 21,090 15

TRANS NZOIA 990,341 489,107 501,206 28 223,808 222,989 819 2,495 397

UASIN GISHU 1,163,186 580,269 582,889 28 304,943 301,110 3,833 3,399 342

ELGEYO/MARAKWET 454,480 227,317 227,151 12 99,861 99,119 742 3,032 150

NANDI 885,711 441,259 444,430 22 199,426 199,040 386 2,849 311

BARINGO 666,763 336,322 330,428 13 142,518 141,877 641 10,985 61

LAIKIPIA 518,560 259,440 259,102 18 149,271 145,776 3,495 9,508 55

NAKURU 2,162,202 1,077,272 1,084,835 95 616,046 598,237 17,809 7,505 288

NAROK 1,157,873 579,042 578,805 26 241,125 238,115 3,010 17,932 65

KAJIADO 1,117,840 557,098 560,704 38 316,179 313,218 2,961 21,871 51

KERICHO 901,777 450,741 451,008 28 206,036 205,932 104 2,436 370

BOMET 875,689 434,287 441,379 23 187,641 187,230 411 2,507 349

KAKAMEGA 1,867,579 897,133 970,406 40 433,207 432,284 923 3,017 619

VIHIGA 590,013 283,678 306,323 12 143,365 143,288 77 564 1,047

BUNGOMA 1,670,570 812,146 858,389 35 358,796 357,714 1,082 3,024 552

BUSIA 893,681 426,252 467,401 28 198,152 197,944 208 1,700 526

SIAYA 993,183 471,669 521,496 18 250,698 249,341 1,357 2,530 393

KISUMU 1,155,574 560,942 594,609 23 300,745 296,846 3,899 2,085 554

HOMA BAY 1,131,950 539,560 592,367 23 262,036 260,290 1,746 3,153 359

MIGORI 1,116,436 536,187 580,214 35 240,168 238,133 2,035 2,613 427

KISII 1,266,860 605,784 661,038 38 308,054 307,254 800 1,323 957

NYAMIRA 605,576 290,907 314,656 13 150,669 150,499 170 897 675

NAIROBI CITY 4,397,073 2,192,452 2,204,376 245 1,506,888 1,494,676 12,212 704 6,247

Households Sex

11


Table 2.2a: Distribution of Rural Population by Sex, Number of Households, Land Area, Population Density and County

Land Area Density

Total Male Female Intersex Total Conventional Group

Quarters Sq. Km

Persons per

Sq. Km

KENYA 32,732,596 16,195,922 16,535,833 841 7,432,249 7,379,282 52,967 573,370 57

MOMBASA - - - - - - - - -

KWALE 740,389 362,726 377,650 13 136,171 135,892 279 8,191 90

KILIFI 1,059,899 512,765 547,115 19 185,754 185,387 367 12,384 86

TANA RIVER 240,221 120,696 119,524 1 48,345 47,670 675 37,714 6

LAMU 105,474 56,570 48,902 2 27,749 24,161 3,588 6,215 17

TAITA/TAVETA 246,897 126,717 120,178 2 66,940 65,015 1,925 17,039 14

GARISSA 630,463 349,423 281,013 27 103,697 102,003 1,694 44,577 14

WAJIR 604,089 320,562 283,500 27 97,276 96,882 394 56,398 11

MANDERA 596,990 299,428 297,535 27 85,481 84,728 753 25,773 23

MARSABIT 352,546 188,758 163,772 16 57,004 56,465 539 70,808 5

ISIOLO 142,333 76,435 65,894 4 28,824 25,352 3,472 24,791 6

MERU 1,406,796 699,532 707,228 36 375,450 373,302 2,148 6,971 202

THARAKA-NITHI 360,434 177,716 182,712 6 97,949 97,614 335 2,539 142

EMBU 532,675 267,126 265,534 15 154,594 154,301 293 2,778 192

KITUI 1,082,168 522,943 559,193 32 243,692 242,607 1,085 30,406 36

MACHAKOS 1,007,854 504,247 503,582 25 259,497 256,809 2,688 5,794 174

MAKUENI 910,577 450,482 460,075 20 217,610 217,052 558 8,111 112

NYANDARUA 571,754 282,499 289,240 15 156,437 155,007 1,430 3,241 176

NYERI 608,409 300,893 307,488 28 190,313 189,091 1,222 3,243 188

KIRINYAGA 474,187 237,086 237,083 18 154,644 154,255 389 1,395 340

MURANG'A 938,213 467,062 471,121 30 276,508 276,037 471 2,452 383

KIAMBU 711,450 355,557 355,866 27 207,710 207,550 160 1,776 401

TURKANA 786,185 406,490 379,675 20 133,899 132,634 1,265 67,999 12

WEST POKOT 589,400 291,469 297,916 15 107,572 107,166 406 9,106 65

SAMBURU 263,195 133,058 130,130 7 53,120 51,458 1,662 21,035 13

TRANS NZOIA 811,607 400,606 410,978 23 174,249 173,578 671 2,386 340

UASIN GISHU 652,981 326,269 326,700 12 143,434 139,957 3,477 3,093 211

ELGEYO/MARAKWET 433,901 217,344 216,548 9 93,720 93,023 697 3,021 144

NANDI 826,232 411,715 414,497 20 180,826 180,511 315 2,809 294

BARINGO 591,474 299,456 292,006 12 119,994 119,363 631 10,923 54

LAIKIPIA 391,200 196,277 194,909 14 104,463 103,022 1,441 9,359 42

NAKURU 1,115,122 559,639 555,458 25 276,259 269,525 6,734 6,556 170

NAROK 1,057,521 529,224 528,276 21 209,185 206,285 2,900 17,884 59

KAJIADO 495,218 250,233 244,970 15 108,562 106,566 1,996 21,483 23

KERICHO 808,239 402,717 405,500 22 175,193 175,119 74 2,394 338

BOMET 847,718 420,119 427,577 22 178,135 177,886 249 2,496 340

KAKAMEGA 1,682,239 806,682 875,526 31 378,386 377,604 782 2,899 580

VIHIGA 531,629 255,727 275,892 10 127,476 127,400 76 537 991

BUNGOMA 1,480,458 720,235 760,194 29 307,981 307,149 832 2,912 508

BUSIA 779,928 371,289 408,611 28 167,368 167,184 184 1,654 471

SIAYA 907,766 431,450 476,301 15 225,031 224,404 627 2,480 366

KISUMU 714,668 344,721 369,939 8 169,013 168,796 217 1,947 367

HOMA BAY 1,018,871 485,991 532,861 19 230,012 229,176 836 3,111 327

MIGORI 949,236 455,887 493,318 31 197,268 195,462 1,806 2,529 375

KISII 1,115,450 531,860 583,560 30 261,837 261,383 454 1,284 869

NYAMIRA 558,540 268,241 290,286 13 137,621 137,451 170 876 638

NAIROBI CITY - - - - - - - - -

County

Households Sex

12


Table 2.2b: Distribution of Urban Population by Sex, Number of Households, Land Area, Population Density and County

Land Area Density

Total Male Female Intersex Total Conventional Group

Quarters Sq. Km

Persons per

Sq. Km

KENYA 14,831,700 7,352,134 7,478,883 683 4,711,664 4,663,734 47,930 7,526 1,971

MOMBASA 1,208,333 610,257 598,046 30 378,422 376,295 2,127 220 5,495

KWALE 126,431 62,395 64,031 5 37,005 36,910 95 63 2,014

KILIFI 393,888 191,324 202,558 6 112,718 112,603 115 169 2,325

TANA RIVER 75,722 37,854 37,867 1 19,897 19,314 583 189 400

LAMU 38,446 19,533 18,911 2 10,214 10,070 144 68 567

TAITA/TAVETA 93,774 46,620 47,149 5 29,489 29,453 36 113 828

GARISSA 210,890 109,552 101,331 7 37,697 36,937 760 176 1,199

WAJIR 177,174 94,812 82,340 22 30,656 29,996 660 376 472

MANDERA 270,467 135,548 134,909 10 40,282 39,226 1,056 170 1,595

MARSABIT 107,239 54,790 52,447 2 20,491 20,224 267 136 786

ISIOLO 125,669 63,075 62,589 5 29,248 27,865 1,383 558 225

MERU 138,918 68,166 70,747 5 50,910 50,629 281 43 3,249

THARAKA-NITHI 32,743 16,048 16,694 1 11,911 11,836 75 25 1,316

EMBU 75,924 37,082 38,833 9 28,149 28,126 23 42 1,800

KITUI 54,019 26,060 27,958 1 19,250 19,207 43 24 2,292

MACHAKOS 414,078 206,460 207,609 9 142,969 142,714 255 243 1,703

MAKUENI 77,076 39,209 37,867 - 27,059 26,927 132 65 1,177

NYANDARUA 66,535 32,523 34,007 5 23,249 23,217 32 45 1,473

NYERI 150,755 73,395 77,357 3 57,737 55,473 2,264 82 1,843

KIRINYAGA 136,224 64,925 71,286 13 49,544 49,321 223 84 1,631

MURANG'A 118,427 56,878 61,548 1 41,597 41,459 138 71 1,678

KIAMBU 1,706,285 831,589 874,588 108 587,531 584,783 2,748 763 2,237

TURKANA 140,791 71,597 69,193 1 30,620 29,993 627 234 601

WEST POKOT 31,841 15,544 16,297 - 8,610 8,595 15 17 1,850

SAMBURU 47,132 23,716 23,416 - 12,790 12,493 297 54 869

TRANS NZOIA 178,734 88,501 90,228 5 49,559 49,411 148 109 1,635

UASIN GISHU 510,205 254,000 256,189 16 161,509 161,153 356 305 1,670

ELGEYO/MARAKWET 20,579 9,973 10,603 3 6,141 6,096 45 11 1,894

NANDI 59,479 29,544 29,933 2 18,600 18,529 71 41 1,457

BARINGO 75,289 36,866 38,422 1 22,524 22,514 10 62 1,218

LAIKIPIA 127,360 63,163 64,193 4 44,808 42,754 2,054 149 857

NAKURU 1,047,080 517,633 529,377 70 339,787 328,712 11,075 949 1,103

NAROK 100,352 49,818 50,529 5 31,940 31,830 110 48 2,095

KAJIADO 622,622 306,865 315,734 23 207,617 206,652 965 388 1,604

KERICHO 93,538 48,024 45,508 6 30,843 30,813 30 43 2,197

BOMET 27,971 14,168 13,802 1 9,506 9,344 162 11 2,536

KAKAMEGA 185,340 90,451 94,880 9 54,821 54,680 141 118 1,575

VIHIGA 58,384 27,951 30,431 2 15,889 15,888 1 27 2,152

BUNGOMA 190,112 91,911 98,195 6 50,815 50,565 250 112 1,699

BUSIA 113,753 54,963 58,790 - 30,784 30,760 24 45 2,508

SIAYA 85,417 40,219 45,195 3 25,667 24,937 730 50 1,721

KISUMU 440,906 216,221 224,670 15 131,732 128,050 3,682 139 3,177

HOMA BAY 113,079 53,569 59,506 4 32,024 31,114 910 41 2,754

MIGORI 167,200 80,300 86,896 4 42,900 42,671 229 84 1,989

KISII 151,410 73,924 77,478 8 46,217 45,871 346 40 3,811

NYAMIRA 47,036 22,666 24,370 - 13,048 13,048 - 21 2,210

NAIROBI CITY 4,397,073 2,192,452 2,204,376 245 1,506,888 1,494,676 12,212 704 6,247

County

Households Sex

13


Table 2.3: Distribution of Population by Sex, Number of Households, Land Area, Population Density and Sub County

Land Area Density

Total Male Female Total Conventional Group

Quarters Sq. Km

Persons Per

Sq. Km

KENYA 47,564,296 23,548,056 24,014,716 12,143,913 12,043,016 100,897 580,895 82

MOMBASA 1,208,333 610,257 598,046 378,422 376,295 2,127 220 5,495

CHANGAMWE 131,882 68,761 63,121 46,614 46,439 175 18 7,457

JOMVU 163,415 83,002 80,410 53,472 53,214 258 37 4,432

KISAUNI 291,930 146,748 145,176 88,202 88,159 43 88 3,328

LIKONI 250,358 126,962 123,392 81,191 80,002 1,189 40 6,187

MVITA 154,171 75,565 78,601 38,995 38,710 285 15 10,543

NYALI 216,577 109,219 107,346 69,948 69,771 177 23 9,610

KWALE 866,820 425,121 441,681 173,176 172,802 374 8,254 105

KINANGO 94,220 45,413 48,806 16,043 16,041 2 1,612 58

LUNGA LUNGA 198,423 97,174 101,245 37,366 37,276 90 2,765 72

MATUGA 194,252 95,831 98,419 39,231 39,124 107 1,034 188

MSAMBWENI 177,690 89,206 88,480 45,466 45,374 92 412 432

SAMBURU 202,235 97,497 104,731 35,070 34,987 83 2,430 83

KILIFI 1,453,787 704,089 749,673 298,472 297,990 482 12,553 116

CHONYI 62,335 29,527 32,807 11,421 11,416 5 193 324

GANZE 143,906 66,921 76,981 23,258 23,197 61 3,218 45

KALOLENI 193,682 92,614 101,063 36,355 36,344 11 706 274

KAUMA 22,638 10,965 11,673 3,479 3,479 - 181 125

KILIFI NORTH 178,824 86,986 91,836 39,512 39,508 4 264 676

KILIFI SOUTH 206,753 101,852 104,897 53,074 53,011 63 290 712

MAGARINI 191,610 93,302 98,308 33,017 32,978 39 5,229 37

MALINDI 333,226 163,351 169,866 73,547 73,317 230 2,263 147

RABAI 120,813 58,571 62,242 24,809 24,740 69 208 581

TANA RIVER 315,943 158,550 157,391 68,242 66,984 1,258 37,904 8

TANA DELTA 110,640 55,716 54,924 22,791 22,395 396 15,432 7

TANA NORTH 116,757 59,123 57,632 26,886 26,119 767 13,305 9

TANA RIVER 88,546 43,711 44,835 18,565 18,470 95 9,167 10

LAMU 143,920 76,103 67,813 37,963 34,231 3,732 6,283 23

LAMU EAST 22,258 11,675 10,583 5,090 4,476 614 2,338 10

LAMU WEST 121,662 64,428 57,230 32,873 29,755 3,118 3,945 31

TAITA/TAVETA 340,671 173,337 167,327 96,429 94,468 1,961 17,152 20

MWATATE 81,659 41,426 40,231 23,698 23,184 514 2,723 30

TAITA 55,959 28,386 27,573 15,094 14,985 109 478 117

TAVETA 91,222 47,410 43,812 24,115 23,417 698 6,399 14

VOI 111,831 56,115 55,711 33,522 32,882 640 7,553 15

GARISSA 841,353 458,975 382,344 141,394 138,940 2,454 44,753 19

BALAMBALA 32,257 20,277 11,979 4,337 3,986 351 3,684 9

DADAAB 185,252 99,059 86,185 35,793 35,169 624 6,415 29

FAFI 134,040 72,617 61,413 23,671 23,351 320 15,050 9

GARISSA 163,914 83,460 80,449 30,518 29,790 728 3,318 49

HULUGHO 133,984 78,081 55,898 20,254 20,078 176 7,737 17

IJARA 141,591 80,458 61,129 18,481 18,296 185 2,453 58

LAGDERA 50,315 25,023 25,291 8,340 8,270 70 6,096 8

WAJIR 781,263 415,374 365,840 127,932 126,878 1,054 56,774 14

BUNA 49,886 26,796 23,088 6,480 6,480 - 3,888 13

ELDAS 89,104 45,028 44,069 13,961 13,862 99 4,492 20

HABASWEIN 174,134 94,613 79,505 31,292 31,113 179 10,912 16

TARBAJ 56,637 26,856 29,776 9,309 9,241 68 9,608 6

WAJIR EAST 110,654 59,359 51,292 18,674 18,282 392 4,053 27

WAJIR NORTH 62,206 31,990 30,209 10,490 10,478 12 4,042 15

WAJIR SOUTH 116,814 64,947 51,864 21,364 21,149 215 10,734 11

WAJIR WEST 121,828 65,785 56,037 16,362 16,273 89 9,044 13

MANDERA 867,457 434,976 432,444 125,763 123,954 1,809 25,942 33

MANDERA WEST 98,300 48,166 50,130 14,274 14,201 73 4,018 24

BANISA 152,598 78,301 74,288 24,285 24,000 285 3,944 39

KOTULO 72,394 35,799 36,593 9,446 9,342 104 2,509 29

Sub County Households Sex*

*Intersex figures are too few to be distributed at sub national level. Totals may therefore differ slightly. 14



Land Area Density


Quarters Sq. Km

Persons Per

Sq. Km


LAFEY 83,457 40,476 42,976 11,597 11,380 217 3,795 22

MANDERA CENTRAL 157,220 71,688 85,527 21,140 20,795 345 4,032 39

MANDERA EAST 159,638 83,538 76,095 25,904 25,206 698 2,506 64

MANDERA NORTH 143,850 77,008 66,835 19,117 19,030 87 5,138 28

MARSABIT 459,785 243,548 216,219 77,495 76,689 806 70,944 6

LOIYANGALANI 35,713 17,659 18,051 7,774 7,646 128 11,789 3

MARSABIT CENTRAL 79,181 40,956 38,214 15,849 15,658 191 2,143 37

MARSABIT NORTH 54,297 30,091 24,205 7,521 7,468 53 19,837 3

MARSABIT SOUTH 65,376 33,215 32,161 11,615 11,563 52 8,447 8

MOYALE 108,949 56,440 52,508 17,709 17,591 118 3,327 33

NORTH HORR 71,447 41,719 29,726 9,789 9,601 188 19,337 4

SOLOLO 44,822 23,468 21,354 7,238 7,162 76 6,064 7

ISIOLO 268,002 139,510 128,483 58,072 53,217 4,855 25,349 11

GARBATULLA 99,730 54,661 45,068 18,661 17,047 1,614 9,902 10

ISIOLO 121,066 60,414 60,647 29,853 27,612 2,241 2,691 45

MERTI 47,206 24,435 22,768 9,558 8,558 1,000 12,756 4

MERU 1,545,714 767,698 777,975 426,360 423,931 2,429 7,014 220

BUURI EAST 76,598 38,101 38,497 23,834 23,737 97 333 230

BUURI WEST 80,762 40,496 40,264 27,973 27,905 68 639 126

IGEMBE CENTRAL 221,412 111,208 110,200 52,031 51,848 183 603 367

IGEMBE NORTH 169,317 83,364 85,949 38,871 38,716 155 1,113 152

IGEMBE SOUTH 161,646 80,192 81,446 43,281 43,222 59 255 633

IMENTI NORTH 177,567 88,506 89,056 57,668 57,556 112 232 767

IMENTI SOUTH 206,506 103,338 103,162 64,186 63,954 232 418 494

MERU CENTRAL 133,818 66,920 66,894 39,595 39,498 97 377 355

TIGANIA CENTRAL 104,730 51,814 52,916 25,039 24,983 56 237 441

TIGANIA EAST 72,549 35,352 37,194 17,185 16,791 394 511 142

TIGANIA WEST 139,961 67,715 72,241 36,207 35,402 805 399 351

MERU NATIONAL PARK 385 283 102 207 46 161 838 ..

MT. KENYA FOREST 463 409 54 283 273 10 1,060 ..

THARAKA-NITHI 393,177 193,764 199,406 109,860 109,450 410 2,564 153

IGAMBANG'OMBE 53,210 26,464 26,745 14,398 14,383 15 323 165

MAARA 114,894 57,689 57,205 35,041 34,779 262 266 431

MERU SOUTH 91,080 44,923 46,155 28,249 28,211 38 139 656

THARAKA NORTH 58,345 28,290 30,053 13,413 13,403 10 839 70

THARAKA SOUTH 75,250 36,190 39,058 18,646 18,603 43 637 118

MOUNT KENYA FOREST 398 208 190 113 71 42 360 1

EMBU 608,599 304,208 304,367 182,743 182,427 316 2,821 216

EMBU EAST 129,564 64,571 64,991 39,678 39,586 92 253 512

EMBU NORTH 79,556 39,665 39,888 24,300 24,294 6 111 719

EMBU WEST 127,100 63,125 63,966 43,153 43,126 27 158 804

MBEERE SOUTH 163,476 83,311 80,159 46,065 45,924 141 1,312 125

MBEERE NORTH 108,881 53,517 55,360 29,528 29,483 45 784 139

MOUNT KENYA FOREST 22 19 3 19 14 5 203 ..

KITUI 1,136,187 549,003 587,151 262,942 261,814 1,128 30,430 37

IKUTHA 82,964 39,986 42,976 16,679 16,579 100 9,033 9

KATULANI 47,108 23,150 23,957 12,170 12,166 4 324 146

KISASI 46,142 22,646 23,496 10,866 10,860 6 295 157

KITUI CENTRAL 105,991 52,123 53,863 29,057 29,026 31 422 251

KITUI WEST 70,871 33,887 36,983 17,497 17,465 32 416 170

KYUSO 76,867 36,789 40,077 15,993 15,969 24 2,525 30

LOWER YATTA 63,329 31,701 31,628 15,454 15,021 433 1,191 53

MATINYANI 47,811 23,362 24,448 11,513 11,497 16 264 181

MIGWANI 79,255 37,525 41,726 19,096 18,843 253 635 125

MUMONI 29,344 13,748 15,596 6,496 6,451 45 611 48

MUTITU 55,287 26,388 28,896 11,521 11,490 31 4,710 12

MUTITU NORTH 21,215 10,337 10,877 4,929 4,929 - 548 39

*Intersex figures are too few to be distributed at sub national level. Totals may therefore differ slightly. 15



Land Area Density


Quarters Sq. Km

Persons Per

Sq. Km


MUTOMO 113,356 54,819 58,531 23,044 23,034 10 2,853 40

MWINGI CENTRAL 108,713 52,539 56,174 26,753 26,745 8 1,146 95

MWINGI EAST 85,139 40,314 44,820 18,730 18,725 5 3,418 25

NZAMBANI 46,788 22,929 23,857 11,276 11,276 - 320 146

THAGICU 15,136 7,141 7,994 3,289 3,289 - 363 42

TSEIKURU 40,871 19,619 21,252 8,579 8,449 130 1,356 30

MACHAKOS 1,421,932 710,707 711,191 402,466 399,523 2,943 6,037 236

ATHI RIVER 322,499 164,322 158,172 109,735 109,723 12 835 386

KALAMA 54,462 26,764 27,692 14,182 14,137 45 480 113

KANGUNDO 97,917 48,697 49,219 26,142 26,115 27 173 565

KATHIANI 111,890 54,910 56,976 28,730 28,730 - 204 548

MACHAKOS 170,606 85,486 85,114 50,979 50,753 226 280

2019 Kenya Population and Housing Census: …2019 Kenya Population and Housing Census: Volume II v In undertaking its mandate, the Bureau is guided by a Vision, Mission and Core Values.

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