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Policy No 12
Foreword by CRA Chairman	i Acknowledgements	ii Introduction	iii List of Abbreviations	iv Description of the Data and their Sources	v What does the Data say?	vii County Fact Sheets	1. Baringo County	1 2. Bomet County	2 3. Bungoma County	3 4. Busia County	4 5. Elgeyo-Marakwet County	5 6. Embu County	6 7. Garissa County	7 8. Homa Bay County	8 9. Isiolo County	9 10. Kajiado County	10 11. Kakamega County	11 12. Kericho County	12 13. Kiambu County	13 14. Kilifi County	14 15. Kirinyaga County	15 16. Kisii County	16 17. Kisumu County	17 18. Kitui County	18 19. Kwale County	19 20. Laikipia County	20 21. Lamu County	21 22. Machakos County	22 23. Makueni County	23 24. Mandera County	24 25. Marsabit County	25 26. Meru County	26 27. Migori County	27 28. Mombasa County	28 29. Muranga County	29 30. Nairobi County	30 31. Nakuru County 31 32. Nandi County	32 33. Narok County	33
34. Nyamira County	34 35. Nyandarua County	35 36. Nyeri County	36 37. Samburu County	37 38. Siaya County	38 39. Taita Taveta County	39 40. Tana River County	40 41. Tharaka Nithi County	41 42. Trans Nzoia County	42 43. Turkana County	43 44. Uasin Gishu County	44 45. Vihiga County	45 46. Wajir County	46 47. West Pokot County	47
Foreword by CRA Chairman
The Commission on Revenue Allocation is a new institution created by the Constitution of Kenya. The principal function of the Commission is to make recommendations on the basis of equitable sharing of revenue raised nationally between the national government and the county governments and among the county governments. It has other several functions enumerated in Article 216 of the Constitution. Reliable data is the cornerstone of firm policy decisions. We take this opportunity to launch this first edition of the County Facts Sheets. At a glance, the Fact Sheets provide important summary information of each county, such as, population, health, education and infrastructure. This document carries vital data on each of the 47 counties which should be useful to many stakeholders, including those who are aspiring to join the counties either in elective or appointive offices. It will also be useful to development partners, academic institutions and the civil servants in both national and county governments. This document is part of a series of other publications which are being launched by our Commission. The objective of the publications is to educate Kenyans on the role of the Commission, and the funding arrangements for Kenyas new system of devolved government. Every effort has been made to ensure the facts in this document are accurate. We would however, request anyone who spots a major error to point it out to us through our contacts indicated at the back cover of this booklet.
Micah Cheserem Chairman, Commission on Revenue Allocation
Kenya: County Fact Sheets
CRA acknowledges the contribution and support of several key partners in the preparation of this inaugural version of the Kenya County Fact Sheets. First, the Commission acknowledges the contribution of the Kenya National Bureau of Statistics (KNBS), which is the official source of most data appearing in these Fact Sheets. Contributions from KNBS signal the beginning of a long term partnership in the generation and dissemination of comprehensive county-level data, and its application towards the formulation of sound policy decisions not only by the CRA, but also by other government and non-governmental organizations. Secondly, CRA acknowledges support from the World Banks Fiscal Decentralization Knowledge Program (FDKP). Launched in November 2010 with financial assistance from the Australian Agency for International Development (AusAid), FDKP is supporting the Kenyas Government to develop and implement the public finance provisions of the new Constitution. FDKPs main objective is to share evidence-based knowledge with Kenyan policy makers, consisting of international experiences with decentralization and also of data analysis on Kenya. To all our other partners, we also say a hearty THANK YOU, and we look forward to your continued support and partnership.
Immediately after the next General Elections, forty-seven County Governments will replace the Provincial and Local Government administration systems, which were created at independence. However, most of the data that is collected and compiled in Kenya today can be mapped to either districts or provinces, and very little has been done to date to re-map these data to the county level. The Kenya County Fact Sheets seek precisely to fill this void and to start fleshing out the demographic, socioeconomic and administrative contours of Kenyas future counties. Anticipated users of these Fact Sheets include: a) Public sector organizations that are now accelerating their planning for the transition and formulation of post-devolution policies; b) Civil society organizationsthe public, media, businesseswho need to engage knowledgeably with the National and the County Governments; and, c) Development partners who will need to refocus their strategies and programs to the new administrative and service delivery environment. Among other uses, the Fact Sheets will enable readers to (i) get a full picture of the main characteristics of each of Kenyas counties, and (ii) compare their performance across a wide range of indicators to the national average, or to the situation in other counties. This knowledge, ideally will guide policy, from the targeting of policies across space and interventions to laying the foundations of a county performance monitoring system. The reader will find that the Fact Sheets reveal significant disparities across counties on many frontshealth and education outcomes, funding per capita and access to infrastructure and to services. In highlighting these disparities, the Fact Sheets might help to identify each countys immediate-, medium- and longer-term priorities for economic development and poverty reduction. They also constitute a useful baseline against which progress can be measured, as Counties come into existence and start taking increasing responsibility for service delivery at the local level. Obviously, from the point of view of the CRA, this information will be a key input into our recommendations to Parliament on a revenue sharing formula, which will need to be transparent, rule-based and grounded into a solid assessment of county needs. It is our hope that the Fact Sheets will inform public discourse and contribute to improved policy coordination between National and County Governments, among county governments and with non-governmental stake holders.
CDF	CRA	DDP	DRC	FDKP	GoK	KIHBS	KNBS	KRB	KURA	LA	LATF	MoH	REPLF	RMLF	SBP	TFDG	WB	Constituency Development Fund Commission on Revenue Allocation District Development Plan District Roads Committee Fiscal Decentralization Knowledge Program Government of Kenya Kenya Integrated Household Budget Survey Kenya National Bureau of Statistics Kenya Roads Board Kenya Urban Roads Authority Local Authority Local Authority Transfer Fund Ministry of Health Rural Electrification Programme Levy Fund Road Maintenance Levy Fund Single Business Permit Task Force on Devolved Government World Bank
Description of the Data and their Sources DATA / VARIABLE
The data on population and number of households are from the 2009 Kenya Population and Housing Census Report published in August 2010, by the Kenya National Bureau of Statistics (KNBS). Each Fact Sheet contains a map showing population density variations within each county, based on the number of districts in existence in December 2008. The information on density is based on the 2009 Census.
Surface area and density
County poverty data have been computed based on the Kenya Integrated Household Baseline Survey (KIHBS) district poverty estimates of 2005/06. County poverty rates are derived simply by dividing the total number of poor people in each county in 2005/06 by the total population in each county. This information is based on 2009 Census data and includes core urban and peri-urban residents within towns having at least 2,000 inhabitants. Data on immunization and on diseases i.e. malaria, TB and HIV have been obtained from the Division of Health Management Information Systems (HMIS). The data includes routine information collected on a monthly and annual basis from health facilities throughout the country. Health statistics shown in these Fact Sheets have been computed as follows: Fully-immunized population under 1 year This is the number of fully immunized children below the age of 1 year as a proportion of the overall population of children below the age of 1 year. Malaria (as % of all first outpatient visits) This computation reflects the malaria burden. It is based on confirmed malaria cases (not clinical malaria) as a percentage of total first out-patient diseases (OPD) attendances at health facilities. TB in every 10,000 people This figure is the record of new cases of tuberculosis (TB) detected in every 10,000 people. HIV-positive ante-natal care clients This is the percentage of ante-natal care (ANC) clients tested for HIV at designated testing sites, whose results turn out to be positive. The proportion of population with primary and secondary education is based on the 2009 Census. These data are CDF actual allocations (2003/04 2008/09) and estimates (2009/10) for each of the 210 constituencies, which in turn are mapped to county boundaries. The data have been obtained from the CDF Board Website http://www.cdf.go.ke/ . Information on actual CDF spending or audited financial data was not available. These data have been obtained from LATF Annual Report and Review of Local Authority Financial Performance for the fiscal years 2007/08 and 2008/09. Taken together, LATF, SBP and Property taxes have constituted the lions share of resources available to Kenyas Local Authorities. While the latter two might be taken as a rough indicator of the core of future
Urban population Health data
Education data Constituency Development Fund
Local Authority Transfer Fund (LATF), Road Maintenance Levy Fund (RMLF), Single Business
DATA / VARIABLE
Permit (SBP) and property rates Rural Electrification Programme Levy Fund (REPLF) Access to improved water, improved sanitation and electricity
county own-source revenue streams, LATF might be used as an indicator of future needs of urban areas, and of the partial costs that could be faced by counties in delivering services. Data come from the Rural Electrification Authority (REA) and relate to approved (not actual) spending on rural electrification programmes for the period 2003/04 2008/09. These data are generated from the 2009 Census, and present the proportion of Kenya households with access. Definitions for access to improved water and sanitation are based on the Joint Monitoring Programme (JMP) for Water Supply and Sanitation by the World Health Organization (WHO) and UNICEF. Accordingly, improved water sources include well/borehole, piped and rain-harvested water; while, improved sanitation includes connection to a main sewer, septic tank and cesspool as well as ventilated improved pit (VIP) latrine and covered pit latrine. This data is generated from District Development Plans (DDP), and reflects the proportion of Kenyas classified road network that is paved, and in good or fair maintenance condition. These estimates are generated based on the Kenya Integrated Household Budget Survey (KIHBS). 2005/06. Delivered in a health centre This is the proportion of children between the ages of 0 60 months who were reported to have been born in a health center i.e. hospital, clinic or maternity home. Qualified medical assistant during birth This is the proportion of children between the ages of 0 60 months whose births were assisted by a qualified medical personnel i.e. a doctor, midwife or nurse. Had all vaccinations This is the proportion of children between the ages of 12 60 months who had had all necessary vaccinations, specifically BCG, any dose of polio, any dose of DPT and measles. Adequate height for age This is the proportion of children between the ages of 6 60 months who were not below the adequate or recommended height for their respective ages. Can read & write This is the proportion of children between the ages of 10 14 years who could read and write. Attending School, 15-18 years This is the proportion of children between the ages of 15 18 years who were attending school (irrespective of the level) at the time of the survey. Following promulgation of the current Constitution, the number of constituencies is to increase from 210 to 290. Since the process of distributing the 290 constituencies among the 47 counties has not been finalized, the constituency distribution shown in these Fact Sheets is based on the current 210 constituencies. Constituency populations are based on the 2009 Census, while county proportions of nationally registered voters is based on Independent Electoral and Boundaries Commission (IEBC) records as per the 2010 Constitutional Referendum.
Population and proportion of nationally registered voters in each constituency
These Fact Sheets testify to inter-county variations on several fronts, and it is important for the reader to consider implications of these differences. For example, the demographic data presented in the first part of the Fact Sheets reveal extensive variations in county populations and densities. Both population and density will determine the cost of delivering services in the counties and therefore should drive the allocation of future transfers from the center to the sub-national units. The socio-economic profile of these populations and hence, the social fabric of Kenyas counties is also heterogeneous. While Kenya is urbanizing rapidly -much faster than the overall population growth rate -- the Fact Sheets show that most counties are still predominantly rural. Only five counties are more than 50% urban and majority of counties have at least 80% of their populations residing in rural areas. (See figure 1). This is important from a political economy point of view. In Kenyas future County Assemblies, most members will be representing rural constituencies: the challenge will be to protect service delivery in urban areas, which are poles of economic development (thanks to agglomerations effects) and will generate the bulk of future county own revenues. Like urbanization, the distribution of poverty will have important implications for the design of fiscal transfers to counties. Besides highlighting the wide disparities in the distribution of poverty across Kenya, the Fact Sheets point to a connection between county poverty rates and other variables such as access to social services, urbanization or infrastructure development. To assess the performance of Kenyas counties in meeting the service and development needs of their population, it will be vital to develop systems for tracking the evolution of these key indicators at the county level over time. A major limitation in preparing the Fact Sheets has been the absence of current fiscal information revenues and expendituresat sub national level. In particular it has been impossible to date to assess the geographic allocation of deconcentrated spending by the central government, and therefore to develop a complete and clear picture of financial flows at the local level. Still, the Local Authority data displayed
Figure 1: Only five counties are more than 50% urban
Nairobi Mombasa Kiambu Kisumu Machakos Nakuru Isiolo Kajiado U. Gishu Migori Vihiga Kericho Kilifi Laikipia Nyeri Garissa Taita Taveta Marsabit Bungoma Kisii Trans Nzoia Lamu Nyandarua Bomet Kwale Mandera Samburu Busia Murang'a Embu Kirinyaga Kakamega Tana River Wajir Elgeyo Marakwet Homa Bay Turkana Nyamira Kitui Nandi Meru Makueni Baringo Siaya Pokot Narok Tharaka Nithi
Data Source: KNBS
in the Fact Sheets provide some interesting insights into, the types of urban service and infrastructure development costs that counties will be inheriting ,as well as the own-revenue sources that counties will require to finance them. With specific reference to Local Authorities, transfers from the central government previously comprised of approximately 40% of local incomes, with property rates and business permits making up the biggest components of own-source revenues, especially for urban authorities. Rural authorities generally relied almost 50% on transfers, except in regions with touristic resources (e.g. game parks). The important point here is that, depending on their characteristics, counties will have varying capacity to generate revenue from their own resources (see figure 2). With county functions increasing vastly over the next years, county own revenue sources are likely to remain comparable to what LAs collected, the importance of transfers will be major. Designing them in a way that provides appropriate funding for counties to meet their functions while taking into account own-revenue potential is a key challenge.
Consistent with its mandate, the CRA will work with county governments to identify and enhance own source revenues. This is essential to minimize dependence by counties on transfers. The focus of county governments should therefore be on wealth creation, which will no doubt have multiplier effects within and across counties. The data on education and health, water and sanitation, access to electricity and the road network all tell the story of historical inequities and to some extent of the failure of the state to equalize opportunities for all Kenyans (see figure 3). Kenyans have embraced devolution with such passion because they expect that it will help fill these service delivery gaps. Again, tracking county performance over time on these indicators will provide a good measure of the extent to which the constitutional promise has been met. In addition identifying good performers among Kenyas counties will generate lessons for others to emulate. Identifying good performance requires credible county-level statistics, a major motivation for these Fact Sheets.
Figure 2: Counties will have varying capacity to meet service delivery costs from their own revenue
Strong dependence on transfers
Strong own revenue base
Nyamira Garissa Turkana Wajir West Pokot Mandera Makueni Homa Bay Siaya Vihiga Nandi Tana River Kisii Kakamega Bomet Bungoma Migori Trans Nzoia Marakwet Tharaka Baringo Kitui Meru Kwale Kisumu Lamu Busia Marsabit Nyandarua Kilifi Nakuru Kirinyaga Murang'a Kericho Kajiado Mombasa Nyeri Uasin Gishu Embu Taita Taveta Machakos Kiambu Laikipia Nairobi Samburu Isiolo Narok
Data Source: LATF Annual Report for 2008/09 Kenya: County Fact Sheets
Figure 3: County pattern of infrastructure development Roads, electricity & water
Source: World Bank (2011). Infrastructure for Shared Growth in Kenya A Bumpy Ride to Prosperity, August 2011
As stated in the Foreword, data is the cornerstone of firm policy decisions, and the CRA will work with all relevant agencies, particularly the Kenya National Bureau of Statistics (KNBS) to ensure that under Kenyas new system of devolved government, decisions on the equitable sharing of revenue are evidence-based, objective, trusted and predictable. In collaboration with the KNBS and other agencies, the CRA will also ensure that data definitions and norms are standardized, and that data collection and reporting mechanisms are synchronized across all counties. Especially, it will be the goal of the CRA to establish consensus around baseline data. To this end, data that will be used by the CRA in formulating its revenue-sharing recommendations will need to be accurate, regularly updated, independent and free of any local manipulation.
These Fact Sheets are obviously incomplete. Perhaps the most glaring omission is information on county contributions to Kenyas Gross Domestic Product (GDP), which to date has not been disaggregated below the national level. Nonetheless, the CRA has settled on the option of quickly releasing this work-in-progress version of the Fact Sheets, so that the information therein might contribute to the finalization of critical devolution-related policy decisions and public debate. The Kenya County Fact Sheets will be updated periodically, as part of what must become a regular exercise of data collection and performance tracking at the local level. The CRA invites all readers to submit their suggestions for future publications.
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Kabarnet - Eldama Ravine - Marigat - Maji Mazuri - Mogotio - Timboroa Baringo 555,561 11,015 50 57.4 11 25,346 17,872 6,661 4,265 3,701 3,150 Rank1 33 14 33 32 43 78 93 144 179 186 197 Kenya2 821,491 12,368 66 47.2 29.9
Health and Education Outcomes Fully-immunized pop <1yr (%, 2010/11) Malaria (as % of all 1st outpatient visits) TB in every 10,000 people (2009/10) HIV+ ante-natal care clients (%, 2010) Population with primary education (%) Population with secondary education (%) Funding Per Capita in Kshs. (2008/09) Constituency Development Fund (CDF) Local Authority Transfer Fund (LATF) Single Business Permit revenues by LAs Property tax revenues by LAs Rural Electrification Programme Fund Total Access to Infrastructure Improved water (% households 2009) Improved sanitation (% households 2009) Electricity (% households 2009) Paved roads (as % of total roads) Good/fair roads (as % of total roads) Service Coverage Delivered in a health centre Qualified medical assistant during birth Had all vaccinations Adequate height for age Can read & write Attending School, 15-18 years Rural Electrification Allocations, Kshs Millions
Baringo Rank 32.7 45 11.8 8 6 2 3.0 16 67.7 27 11.7 22 Baringo 378 190 26 6 147 747 Baringo 35.1 57.0 9.6 15.7 54.6 Baringo 32.9 33.6 76.5 51.8 67.3 87.4 Rank 8 29 28 32 7 13 Rank 46 37 23 4 11 Rank 21 23 24 36 27 5
Kenya 64.0 27.7 39.0 5.9 66.6 12.7 Kenya 300 218 48 70 88 725 Kenya 66.5 87.8 22.7 9.4 43.5 Kenya 37.5 37.6 75.0 59.8 66.4 70.9
Constituency Population and County Voter Statistics
Countys share of naonally registered voters in 2010
162 133 105 94 61
Populaon in 000s (2009)
Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. All entries in the Kenya column show County averages.
Source: KNBS.
CDF Allocations, Kshs Millions
257 209 210 210
2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 Source: Rural Electrification Authority.
2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 Source: CDF Board Website.
Source: Ministry of Medical Services.
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Bomet - Sotik Bomet 724,186 2,471 293 46.5 18.3 83,729 8,366 Rank 24 39 17 18 24 29 132 Kenya 821,491 12,368 66 47.2 29.9
Bomet 53.2 8.2 17 2.3 72.5 11.4 Bomet 330 118 23 13 135 620 Bomet 40.8 94.9 4.3 5.4 39.6 Bomet 34.8 38.5 87.5 60.2 74.7 88.6
Rank 34 4 12 10 6 24 Rank 14 44 29 21 11 31 Rank 46 37 23 4 11 Rank 20 19 10 26 18 2
188 164 139
Source: Rural Electrification Authority.
Source: CDF Board Website.
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Kimilili - Bungoma - Webuye - Malakisi - Chwele - Kapsokwony - Cheptais - Tongaren Bungoma Rank 1,630,934 3 3,593 23 454 3 52.9 28 21.7 13 94,927 55,867 41,344 17,083 7,206 6,152 3,899 2,793 23 40 59 98 141 153 183 203 Kenya 821,491 12,368 66 47.2 29.9
106 95 68 114 118
Bungoma Rank 92.4 1 89.2 46 15 9 2.3 9 72.8 4 11.0 26 Bungoma 192 162 27 10 72 464 Bungoma 88.9 96.6 4.5 6.0 46.7 Bungoma 18.1 14.7 68.3 63.3 60.5 87.6 Rank 38 37 27 26 29 41 Rank 2 17 38 22 21 Rank 41 43 34 20 32 4
320 256 244 230 230 179 172
311 262 225 170 314
5 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Busia - Malaba - Port Victoria - Nambale - Bumala Busia 488,075 1,134 430 66.7 16.4 51,981 21,477 6,561 4,941 3,504 Rank 38 43 10 37 28 43 84 146 171 189 Kenya 821,491 12,368 66 47.2 29.9
Busia Rank 58.1 27 37.3 33 37 31 8.1 41 72.3 7 9.9 34 Busia 486 305 49 13 181 1,035 Busia 82.9 92.0 6.0 4.9 58.6 Busia 30.7 25.1 78.5 60.7 56.7 78.1 Rank 5 5 17 22 3 6 Rank 6 22 32 30 7 Rank 24 32 21 25 35 16
122 94 67
287 235 174 238 237
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Iten/Tambach - Kapsowar - Kapcherop E. Marakwet 369,998 3,030 122 55.5 14.4 42,312 4,492 3,168 Rank 40 28 28 31 35 56 177 196 Kenya 821,491 12,368 66 47.2 29.9
Health and Education Outcomes Fully-immunized pop <1yr (%, 2010/11) Malaria (as % of all 1st outpatient visits) TB in every 10,000 people (2009/10) HIV+ ante-natal care clients (%, 2010) Population with primary education (%) Population with secondary education (%) Funding Per Capita in Kshs. (2008/09) Constituency Development Fund (CDF) Local Authority Transfer Fund (LATF) Single Business Permit revenues by LAs Property tax revenues by LAs Rural Electrification Programme Fund Total Access to Infrastructure Improved water (% households 2009) Improved sanitation (% households 2009) Electricity (% households 2009) Paved roads (as % of total roads) Good/fair roads (as % of total roads) Service Coverage Delivered in a health centre Qualified medical assistant during birth Had all vaccinations Adequate height for age Can read & write Attending School, 15-18 years
E. Marakwet Rank 70.8 15 3.4 2 9 20 1.3 7 71.3 10 10.6 30 E. Marakwet 438 171 22 24 169 823 E. Marakwet 44.2 81.2 7.2 5.7 60.8 E. Marakwet 37.1 35.4 81.0 66.1 77.6 84.8 Rank 6 36 32 16 4 11 Rank 41 29 27 24 3 Rank 19 21 17 14 15 7
Rural Electrification Allocations, Kshs Millions
198 161 162 162
77 65 63
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Embu - Runyenjes - Siakago Embu 516,212 2,818 183 42.0 16.1 60,673 19,548 2,694 Rank 36 30 25 14 30 37 88 204 Kenya 821,491 12,368 66 47.2 29.9
90 74 62
Embu Rank 33.4 44 42.8 36 32 27 4.0 25 71.3 11 15.5 8 Embu 363 156 72 143 734 Embu 62.1 98.2 14.9 4.5 33.7 Embu 60.4 62.5 87.9 70.8 92.7 71.3 Rank 10 38 8 8 14 Rank 28 11 16 35 40 Rank 9 8 9 8 4 28
246 186 136 187 228
37 28 27
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Garissa - Masalani - Daadab Garissa 623,060 44,175 14 49.2 23.5 116,317 14,012 5,723 Rank 29 4 41 24 16 16 107 160 Kenya 821,491 12,368 66 47.2 29.9
Garissa Rank 55.8 29 53.2 41 14 8 0.6 4 65.0 35 9.6 38 Garissa 272 198 12 8 103 594 Rank 25 25 39 30 19 34
Garissa Rank 75.8 13 51.5 39 11.6 20 97.0 Unavailable 54.1 13 Garissa 25.1 23.9 74.6 49.3 52.4 43.9 Rank 34 34 25 39 37 45
207 169 121 94 168 170
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Homa Bay - Awendo - Mbita Point - Sindo Homa Bay 958,791 2,586 371 44.1 14.3 58,936 17,992 11,989 6,362 Rank 13 32 11 15 36 38 92 109 149 Kenya 821,491 12,368 66 47.2 29.9
Homa Bay Rank 50.7 38 50.4 40 44 35 17.1 46 65.6 33 11.8 21 Homa Bay 317 94 9 2 41 463 Homa Bay 38.6 61.4 3.3 4.8 42.9 Homa Bay 39.8 37.0 50.3 53.7 73.3 83.2 Rank 16 45 43 37 37 42 Rank 44 36 42 32 26 Rank 17 20 45 33 20 9
194 172 162 103
297 219 298 304
36 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 Source: CDF Board Website.
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Isiolo - Merti - Kinna - Garbatulla Isiolo 143,294 25,336 6 72.6 43.5 45,989 6,532 4,867 3,774 Rank 46 8 46 40 7 52 147 173 185 Kenya 821,491 12,368 66 47.2 29.9
Isiolo Rank 77.8 7 49.8 38 51 38 4.0 24 65.7 31 9.7 36 Isiolo Rank 551 3 270 7 11 41 182 5 1,013 7 Isiolo 84.6 55.7 18.5 0.2 67.5 Rank 4 38 8 40 1
Isiolo Rank 28.0 30 27.9 29 72.2 30 76.1 3 59.8 33 58.4 39
96 78 57 44 79 79
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Ngong - Kitengela - Ongata Rongai - Kiserian - Kajiado - Loitokitok - Namanga - Isinya - Sultan Hamud - Bissil Kajiado 687,312 21,901 31 11.6 41.4 107,188 58,167 40,178 18,096 14,860 11,064 9,066 8,670 6,636 5,376 Rank 26 9 38 1 8 19 39 62 91 104 113 126 128 145 165 Kenya 821,491 12,368 66 47.2 29.9
Kajiado Rank 30.9 47 24.8 26 15 10 4.7 30 62.0 41 12.5 19 Kajiado 199 191 56 34 54 533 Kajiado 72.3 74.2 39.8 5.9 38.4 Kajiado 39.7 39.8 70.7 73.0 55.4 44.9 Rank 37 28 14 14 34 38 Rank 17 31 4 23 35 Rank 18 18 31 7 36 44
55 37 17 22
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Mumias - Kakamega - Butere - Lumakanda - Malava Kakamega Rank 1,660,651 2 3,051 27 544 7 53.0 29 15.2 32 99,987 91,768 12,780 10,580 4,070 22 25 108 114 182 Kenya 821,491 12,368 66 47.2 29.9
Kakamega Rank 76.8 8 45.4 37 26 21 6.2 36 70.9 14 11.0 25 Kakamega 277 201 22 49 117 666 Kakamega 76.1 122.1 5.6 4.9 54.1 Kakamega 31.3 32.0 69.4 59.6 72.7 76.3 Rank 24 23 31 11 13 22 Rank 11 2 35 31 12 Rank 23 25 32 27 22 19
297 205 213 147 159
140 105 103
562 453 460 460
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Kericho - Kipkelion - Londiani - Litein - Kabuti Kericho 758,339 2,479 306 44.2 28.3 101,808 46,760 43,152 9,103 4,237 Rank 22 38 16 16 12 21 51 55 125 180 Kenya 821,491 12,368 66 47.2 29.9
Kericho Rank 59.1 26 21.0 22 59 41 3.6 20 69.8 19 11.4 23 Kericho 190 241 29 119 74 653 Kericho 56.1 91.9 11.8 13.8 58.5 Kericho 47.3 45.6 74.0 54.8 79.0 79.7 Rank 39 14 25 6 28 25 Rank 34 23 19 6 8 Rank 14 16 26 32 13 12
203 182 168
176 143 103 80 144 144
18 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 Source: CDF Board Website.
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Ruiru - Kikuyu - Thika - Karuri - Kiambu - Limuru - Juja - Githunguri - Gatundu Kiambu Rank 1,623,282 4 2,543 34 638 5 27.2 4 60.8 3 238,858 233,231 136,917 107,716 84,155 79,531 40,446 10,007 5,550 6 7 12 18 28 33 61 121 164 Kenya 821,491 12,368 66 47.2 29.9
Kiambu Rank 64.8 22 19.0 20 46 36 4.8 31 58.5 45 17.3 5 Kiambu 238 254 100 37 44 674 Kiambu 78.1 99.6 53.0 16.0 44.8 Kiambu 68.9 68.4 90.0 69.3 87.4 70.1 Rank 34 12 3 13 36 20 Rank 7 5 3 3 25 Rank 6 6 6 10 7 29
457 383 385 387
106 69 39
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Malindi - Kilifi - Mtwapa - Mariakani - Watamu - Majengo - Mazeras - Magarini - Njabini - Marereni - Kaloleni Kilifi Rank 1,109,735 8 12,610 13 88 30 71.4 39 25.7 13 118,265 48,826 48,625 24,055 10,030 7,788 6,886 6,051 6,042 5,949 5,573 15 48 49 80 120 137 143 154 155 156 162 Kenya 821,491 12,368 66 47.2 29.9
95 77 79
Kilifi Rank 78.0 6 16.1 15 30 25 3.0 15 67.5 28 7.1 43 Kilifi 286 221 39 7 85 639 Kilifi 75.9 65.5 16.7 7.3 40.8 Kilifi 13.6 13.4 66.4 36.0 68.2 78.3 Rank 20 17 20 31 23 28 Rank 12 35 13 15 30 Rank 44 44 36 46 26 14
386 314 227 317 317
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Wanguru - Kerugoya/Kutus - Sagana - Kagumo - Kagio Kirinyaga 528,054 1,479 357 25.2 15.8 23,983 19,422 10,551 3,449 3,357 Rank 35 42 13 3 31 81 89 115 191 195 Kenya 821,491 12,368 66 47.2 29.9
Kirinyaga Rank 51.0 37 11.2 6 33 28 3.8 21 68.6 23 16.1 7 Kirinyaga 322 211 87 23 77 720 Kirinyaga 56.8 99.2 16.4 6.6 45.0 Kirinyaga 87.4 87.4 92.6 76.1 70.4 69.9 Rank 15 21 5 17 27 15 Rank 32 7 14 19 24 Rank 1 1 1 4 24 30
208 169 170 170
46 30 23
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Kisii - Suneka - Keroka - Tabaka - Ogembo - Mogonga Kisii Rank 1,511,422 6 2,542 35 595 6 60.7 34 21.5 20 81,801 50,818 41,654 15,351 3,475 2,545 32 44 58 102 190 207 Kenya 821,491 12,368 66 47.2 29.9
135 136 133 112 117
Kisii Rank 84.6 3 30.0 27 22 17 4.6 29 64.5 64.5 17.3 17.3 Kisii 236 150 21 53 78 538 Kisii 67.9 99.2 7.8 5.2 48.6 Kisii 58.0 55.3 64.8 60.7 86.5 84.8 Rank 36 40 34 9 26 37 Rank 22 8 25 28 20 Rank 10 9 39 24 8 6
256 223 201 190 159
336 256 196 357 357
44 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Kisumu - Awasi - Ahero - Oyugis - Muhoroni - Kendu Bay - Chemelil - Maseno Kisumu 968,909 2,086 465 47.8 52.4 388,311 93,369 50,730 35,451 34,457 14,747 7,888 5,103 Rank 12 40 8 21 4 3 24 46 68 70 105 136 170 Kenya 821,491 12,368 66 47.2 29.9
Kisumu Rank 57.0 28 35.4 31 216 47 16.2 44 62.0 42 13.0 16 Kisumu 283 385 63 5 165 900 Kisumu 60.1 87.4 18.3 14.2 38.0 Kisumu 45.6 46.1 68.6 76.4 65.8 77.4 Rank 22 3 11 33 6 9 Rank 29 26 9 5 36 Rank 15 15 33 2 30 18
Kisumu Muhoroni Town East
114 74 35
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Kitui - Mwingi Kitui Rank 1,012,709 11 30,496 6 33 37 63.5 35 13.8 39 109,568 15,970 17 99 Kenya 821,491 12,368 66 47.2 29.9
141 125 91
Kitui Rank 59.8 25 21.3 23 29 24 4.8 32 74.8 2 10.0 33 Kitui 305 179 42 51 139 717 Kitui 50.8 69.1 4.8 2.4 39.9 Kitui 27.1 24.4 65.0 58.0 63.8 77.8 Rank 18 33 18 10 9 16 Rank 38 33 37 38 32 Rank 32 33 38 28 31 17
307 223 190 309 309
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Ukunda - Kwale - Msambweni - Kinango - Lunga Lunga Kwale 649,931 8,270 79 74.9 18.1 62,529 19,880 11,985 7,958 3,670 Rank 28 17 31 42 25 35 86 110 135 187 Kenya 821,491 12,368 66 47.2 29.9
71 59 47 39 55
Kwale Rank 68.1 18 22.6 25 40 32 3.3 18 70.5 16 6.3 45 Kwale 247 215 20 56 85 624 Kwale 65.8 48.6 10.6 5.5 38.5 Kwale 22.6 22.0 92.6 68.6 66.5 64.8 Rank 33 18 35 8 24 30 Rank 25 40 21 25 34 Rank 36 36 2 11 28 35
196 157 115 89 161 161
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Nanyuki - Nyahururu - Rumuruti - Kinamba Laikipia Rank 399,227 39 9,462 15 42 35 50.5 26 24.8 14 38,198 36,450 10,064 2,319 64 67 118 212 Kenya 821,491 12,368 66 47.2 29.9
70 58 49 39
Laikipia Rank 75.3 10 4.3 3 36 29 2.8 13 65.3 34 13.9 13 Laikipia Rank 237 35 270 8 86 6 22 19 97 20 711 18 Laikipia 62.7 88.6 17.7 6.3 45.2 Rank 27 25 10 21 22
Laikipia Rank 29.8 27 29.8 27 86.9 11 73.3 6 78.9 14 60.7 38
115 94 68 50 95 95
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Lamu Lamu 101,539 6,273 16 32.7 19.9 18,382 Rank 47 21 40 7 22 90 Kenya 821,491 12,368 66 47.2 29.9
Lamu Rank 66.6 19 36.9 32 27 22 66.4 9.7
Lamu 767 256 39 1,037 2,099
Rank 1 11 21 1 1
Lamu 29.6 27.2 80.5 65.2 73.2 64.7
Rank 28 30 19 19 21 36
Lamu Rank 89.3 1 77.5 30 17.0 12 1.3 39 41.8 28
36 24 0 0 0
2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 12
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Kangundo-Tala - Machakos - Mavoko - Kathiani - Masii Machakos Rank 1,098,584 3 6,208 22 177 26 59.6 33 52.0 5 218,557 150,041 137,211 3,365 2,501 8 10 11 194 210 Kenya 821,491 12,368 66 47.2 29.9
Machakos Rank 54.3 30 14.6 14 24 19 4.2 27 69.7 20 14.6 11 Machakos 266 213 68 0 105 653 Machakos 58.1 97.0 17.0 6.9 26.9 Machakos 30.5 32.0 81.3 47.1 88.0 75.9 Rank 27 20 10 39 17 26 Rank 30 15 11 18 45 Rank 25 24 16 42 6 21
199 163 148 126
291 293 293
86 57 61 38 8
36 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 210 158
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Wote - Makindu - Emali - Kibwezi - Mtito Andei - Machinery Makueni 884,527 8,009 110 64.1 11.8 9,875 8,621 7,024 5,871 4,520 2,505 Rank 17 18 29 36 42 122 129 142 158 176 209 Kenya 821,491 12,368 66 47.2 29.9
115 97 78 48 56 118
Makueni Rank 51.3 35 11.9 9 18 15 2.9 14 72.7 5 14.7 10 Makueni 295 194 32 89 609 Makueni 56.9 97.9 5.9 3.2 51.1 Makueni 18.2 22.1 85.0 41.4 91.4 78.2 Rank 19 26 23 22 32 Rank 31 13 34 37 15 Rank 40 35 15 45 5 15
249 243 185
249 190 142 203 261
28 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Mandera - Rhamu - Elwak - Takaba Mandera Rank 1,025,756 10 25,991 7 40 36 87.8 46 18.1 26 87,692 26,367 24,368 21,474 26 77 79 85 Kenya 821,491 12,368 66 47.2 29.9
Mandera Rank 54.3 31 17.9 17 9 6 0.2 1 65.7 32 9.6 37 Mandera 131 82 2 2 33 250 Mandera 51.9 33.9 2.5 0.0 28.6 Mandera 8.2 11.3 47.0 69.7 9.9 42.0 Rank 45 46 47 34 40 47 Rank 36 42 45 44 43 Rank 45 45 46 9 47 46
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Moyale - Marsabit - Sololo - Loiyangalani - Laisamis Marsabit 291,166 70,961 4 83.2 22.0 37,387 14,907 5,104 4,208 2,643 Rank 42 1 47 44 18 65 103 169 181 206 Kenya 821,491 12,368 66 47.2 29.9
Marsabit Rank 66.3 20 21.4 24 25 20 1.2 5 70.4 17 8.9 41 Marsabit 541 185 21 747 Marsabit 77.6 35.4 7.5 0.0 35.4 Marsabit 17.9 17.4 80.1 66.9 26.2 47.0 Rank 4 31 33 12 Rank 8 41 26 42 37 Rank 42 41 20 13 44 42
146 157 157
51 32 0 5 0
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Meru - Chuka - Chogoria - Maua - Timau - Nkubu - Kinna - Lare - Mitunguu Meru Rank 1,356,301 7 6,936 20 196 23 28.3 5 12.0 41 53,627 43,470 28,415 17,226 8,333 7,551 4,867 4,614 3,402 41 54 75 96 133 138 173 175 193 Kenya 821,491 12,368 66 47.2 29.9
Meru Rank 46.9 40 79.3 45 52 39 3.8 22 72.3 8 12.6 18 Meru 251 228 54 8 105 645 Meru 65.0 97.6 13.1 5.4 26.9 Meru 69.5 69.4 65.0 49.0 59.7 68.7 Rank 32 16 16 29 18 27 Rank 26 14 18 26 44 Rank 4 5 37 41 34 32
259 253 230 180 157 142 136
North Imen
South Imen
Central Imen
396 338 340
124 87 60 99
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Rongo - Migori - Kehancha - Sori - Muhuru Bay Migori 563,033 1,969 286 46.7 34.0 82,066 53,100 30,109 8,964 6,254 Rank 32 41 18 19 10 31 42 73 127 151 Kenya 821,491 12,368 66 47.2 29.9
120 96 75 68 92
Migori Rank 78.0 5 72.8 44 63 44 12.0 43 68.0 24 10.3 32 Migori 424 364 39 2 214 1,044 Migori 47.8 66.8 5.3 4.7 55.0 Migori 32.5 35.1 51.6 61.5 75.2 79.6 Rank 7 4 19 36 1 5 Rank 39 34 36 33 10 Rank 22 22 44 23 17 13
191 145 116 111
290 237 171 132 239 239
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Mombasa Mombasa 939,370 219 4,292 37.6 100.0 938,131 Rank 15 47 2 11 2 2 Kenya 821,491 12,368 66 47.2 29.9
Mombasa Rank 72.5 13 31.5 29 59 42 6.6 38 56.9 46 15.3 9 Mombasa 163 572 280 487 15 1,517 Mombasa 75.0 96.6 59.0 28.6 32.0 Mombasa 68.9 73.2 90.3 84.3 85.8 53.6 Rank 44 1 1 3 42 2 Rank 14 18 2 1 41 Rank 5 3 5 1 9 41
153 111 85 153
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Makuyu - Muranga - Maragua - Kabati - Kangari - Kiria-ini Muranga 942,581 2,559 368 29.9 16.3 44,007 28,775 26,374 3,128 2,810 2,457 Rank 14 33 12 6 29 53 74 76 198 202 211 Kenya 821,491 12,368 66 47.2 29.9
135 105 103 112 78
Muranga Rank 46.6 41 8.8 5 20 16 7.2 39 69.5 21 17.7 3 Muranga 270 178 55 10 82 596 Muranga 51.0 237.9 14.0 9.7 45.0 Muranga 54.7 54.7 77.5 62.9 82.9 76.2 Rank 26 34 15 27 25 33 Rank 37 1 17 8 23 Rank 11 10 22 21 11 20
164 157 152 124 88
251 182 144 254 254
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Nairobi Nairobi Rank 3,138,369 1 695 45 4,515 1 22.5 2 100.0 1 3,133,518 1 Kenya 821,491 12,368 66 47.2 29.9
Nairobi Rank 86.8 2 12.4 10 47 37 7.5 40 50.3 47 18.1 2 Nairobi 102 544 265 565 1,477 Nairobi 83.1 98.7 72.4 Rank 47 2 2 2 3 Rank 5 10 1
Nairobi 78.9 71.7 91.0 65.8 97.7 69.0
Rank 3 4 3 15 2 31
320 321 321
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Nakuru - Naivasha - Molo - Gilgil - Njoro - Mai Mahiu - Subukia - Dundori - Salgaa - Mau Narok - Bahati - Rongai - Olenguruone Health and Education Outcomes Fully-immunized pop <1yr (%, 2010/11) Malaria (as % of all 1st outpatient visits) TB in every 10,000 people (2009/10) HIV+ ante-natal care clients (%, 2010) Population with primary education (%) Population with secondary education (%) Funding Per Capita in Kshs. (2008/09) Constituency Development Fund (CDF) Local Authority Transfer Fund (LATF) Single Business Permit revenues by LAs Property tax revenues by LAs Rural Electrification Programme Fund Total Access to Infrastructure Improved water (% households 2009) Improved sanitation (% households 2009) Electricity (% households 2009) Paved roads (as % of total roads) Good/fair roads (as % of total roads) Service Coverage Delivered in a health centre Qualified medical assistant during birth Had all vaccinations Adequate height for age Can read & write Attending School, 15-18 years Rural Electrification Allocations, Kshs Millions
117 101 76 55
281 203 153 282 283
Nakuru Rank 1,603,325 5 7,495 19 214 21 40.1 12 45.8 6 307,990 169,142 40,651 35,293 23,551 11,230 7,309 5,221 4,740 4,357 3,833 2,215 2,119 4 9 60 69 82 112 139 166 174 178 184 213 214
Kenya 821,491 12,368 66 47.2 29.9
Nakuru Rank 72.5 12 16.3 16 62 43 3.9 23 63.4 40 13.4 14 Nakuru 177 282 97 71 63 689 Nakuru 66.4 97.0 34.0 8.3 31.1 Nakuru 51.4 50.5 64.3 49.3 83.2 74.7 Rank 42 6 4 7 33 19 Rank 24 16 5 12 42 Rank 12 13 41 40 10 22
36 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Kapsabet - Nandi Hills Nandi 752,965 2,884 261 47.4 13.6 86,803 10,120 Rank 23 29 20 20 40 27 116 Kenya 821,491 12,368 66 47.2 29.9
Nandi Rank 62.4 24 14.3 13 70 45 2.7 11 67.3 29 10.7 29 Nandi 253 175 20 12 96 556 Nandi 56.2 84.4 6.4 7.9 51.5 Nandi 27.4 48.6 80.8 68.3 74.5 88.3 Rank 31 35 36 23 21 36 Rank 33 27 29 13 14 Rank 31 14 18 12 19 3
200 164 158
189 136 191 191
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Narok - Kilgoris - Nairagie Enkare - Lolgorian Narok 850,920 17,933 47 33.8 6.9 38,653 9,865 5,907 2,689 Rank 19 11 34 9 46 63 123 157 205 Kenya 821,491 12,368 66 47.2 29.9
Narok Rank 71.6 14 19.9 21 18 14 4.0 26 73.5 3 7.2 42 Narok 125 152 11 39 328 Narok 33.6 70.9 5.9 4.6 41.2 Narok 19.8 18.9 62.2 65.4 41.4 73.1 Rank 46 39 40 39 46 Rank 47 32 33 34 29 Rank 38 40 42 17 42 25
55 33 10 0
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Nyamira - Nyansiongo Nyamira 598,252 899 665 48.1 14.0 41,668 5,637 Rank 30 44 4 22 38 57 161 Kenya 821,491 12,368 66 47.2 29.9
149 127 99 81 68
Nyamira Rank 49.8 39 11.3 7 16 11 5.9 35 64.0 38 17.7 4 Nyamira 266 183 14 1 165 628 Nyamira 68.6 99.4 6.1 6.9 64.9 Nyamira 61.1 54.6 88.1 65.3 98.8 81.4 Rank 29 32 37 38 5 29 Rank 20 6 31 17 2 Rank 8 11 8 18 1 11
239 199 160
159 133 114 129 159
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Ol Kalou - Mairo-inya - Engineer Nyandarua 596,268 3,245 184 46.3 18.5 66,015 9,858 2,033 Rank 31 26 24 17 23 34 124 215 Kenya 821,491 12,368 66 47.2 29.9
Nyandarua Rank 70.3 16 13.0 11 17 13 3.2 17 67.9 26 14.2 12 Nyandarua 283 199 70 11 105 668 Nyandarua 68.0 99.7 10.5 3.5 35.2 Nyandarua 66.4 66.4 88.3 57.9 75.4 65.3 Rank 21 24 9 24 16 21 Rank 21 3 22 36 38 Rank 7 7 7 29 16 34
200 168 169 169
96 59 63 45
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Nyeri - Karatina - Naro Moru - Othaya - Mweiga - Endarasha Nyeri 693,558 3,337 208 32.7 24.5 119,353 8,499 5,805 5,137 3,583 3,049 Rank 25 25 22 8 15 13 131 159 168 188 199 Kenya 821,491 12,368 66 47.2 29.9
154 129 100 73 54 59
Nyeri Rank 46.3 42 3.2 1 32 26 4.4 28 61.4 44 19.8 1 Nyeri 349 253 84 32 106 824 Nyeri 69.3 99.6 26.3 8.9 40.7 Nyeri 84.0 84.0 85.1 44.8 92.9 72.8 Rank 12 13 7 15 15 10 Rank 19 4 7 11 31 Rank 2 2 14 43 3 27
176 149 119 87
Mukurwe -Ini
290 240 173 128 242 242
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Maralal - Baragoi - Archers Post - Wamba Samburu 223,947 21,022 11 73.0 17.3 15,860 7,992 6,275 6,226 Rank 45 10 44 41 27 100 134 150 152 Kenya 821,491 12,368 66 47.2 29.9
Samburu Rank 73.1 11 18.9 19 42 33 1.5 8 63.6 39 6.5 44 Samburu 367 233 23 43 665 Samburu 67.8 26.5 6.2 60.5 Rank 9 15 30 12 23 Rank 23 45 30 4
Samburu 18.4 19.0 85.6 57.8 28.9 63.3
Rank 39 39 13 30 43 37
99 82 59 45 82 82
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Bondo - Siaya - Usenge - Ugunja - Yala - Ukwala - Ndori Siaya 842,304 2,530 333 35.3 10.8 33,468 22,586 10,098 7,242 6,412 5,187 2,522 Rank 20 36 14 10 44 72 83 117 140 148 167 208 Kenya 821,491 12,368 66 47.2 29.9
100 78 60 49 37 93
Siaya Rank 81.6 4 59.4 42 42 34 16.8 45 70.3 18 10.8 28 Siaya 309 206 30 111 656 Siaya 46.7 82.7 4.3 6.4 50.5 Siaya 47.4 52.0 64.8 56.2 66.2 72.9 Rank 17 22 24 14 24 Rank 40 28 39 20 17 Rank 13 12 40 31 29 26
262 209 145 266 261
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Wundanyi - Taveta - Voi - Mwatate Taita Taveta 284,657 17,084 17 54.8 22.6 62,404 19,865 17,152 5,573 Rank 43 12 39 30 17 36 87 97 163 Kenya 821,491 12,368 66 47.2 29.9
Taita Taveta Rank 51.2 36 13.7 12 12 7 6.6 37 68.7 22 12.1 20 Taita Taveta 586 262 60 9 214 1,131 Taita Taveta 70.0 94.3 15.0 5.1 49.6 Taita Taveta 40.5 43.2 76.6 49.6 45.3 74.7 Rank 2 10 13 28 2 4 Rank 18 21 15 29 19 Rank 16 17 23 38 41 23
201 166 167 117 93 167
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Hola - Madogo - Garsen Tana River 240,075 38,437 6 76.9 15.0 17,337 15,824 2,904 Rank 44 5 45 43 33 95 101 200 Kenya 821,491 12,368 66 47.2 29.9
Tana River Rank 62.7 23 39.5 35 29 23 1.3 6 67.9 25 5.5 47 Tana River 351 191 8 23 139 712 Tana River 55.5 29.3 2.5 11.1 42.1 Tana River 22.6 20.4 85.7 49.7 49.8 46.9 Rank 11 27 44 18 10 17 Rank 35 44 46 7 27 Rank 35 38 12 37 39 43
97 83 61
102 84 84
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns Tharaka-N. 365,330 2,639 138 48.7 6.6 Rank 41 31 27 23 47 Kenya 821,491 12,368 66 47.2 29.9
Tharaka-N. Rank 53.3 33 39.5 34 22 18 2.7 12 75.1 1 10.4 31 Tharaka-N. 281 58 8 11 41 399 Tharaka-N. 40.4 90.6 3.0 0.0 24.9 Tharaka-N. 29.4 28.9 44.9 43.9 71.4 84.8 Rank 23 47 45 25 38 44 Rank 43 24 43 43 46 Rank 29 28 47 44 23 8
12 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Kitale - Kiminini Trans Nzoia 818,757 2,496 328 50.2 20.4 106,187 11,659 Rank 21 37 15 25 21 20 111 Kenya 821,491 12,368 66 47.2 29.9
Trans Nzoia Rank 35.7 43 33.6 30 5 1 5.4 33 70.9 15 10.9 27 Trans Nzoia 187 187 34 68 476 Trans Nzoia 76.7 96.0 8.9 9.3 50.0 Trans Nzoia 21.3 20.7 90.6 52.6 51.6 92.0 Rank 40 30 22 30 40 Rank 9 19 24 9 18 Rank 37 37 4 35 38 1
Cheranganyi
182 154 153 153
39 30 17
2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 Source: Ministry of Medical Services. Source: CDF Board Website.
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Lodwar - Kakuma - Lokichogio TTurkana 855,399 68,680 13 94.3 14.2 48,316 36,875 17,695 Rank 18 2 42 47 37 50 66 94 Kenya 821,491 12,368 66 47.2 29.9
Turkana Rank 30.9 46 31.2 28 9 5 8.9 42 71.0 13 9.5 39 Turkana 171 137 10 18 50 385 Turkana 74.3 17.8 2.4 9.3 59.5 Turkana 6.9 6.9 66.7 65.8 18.1 39.0 Rank 43 42 42 20 35 45 Rank 15 46 47 10 6 Rank 46 46 35 16 46 47
179 145 105 146 146
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Eldoret - Mois Bridge - Matunda - Burnt Forest - Jua Kali - Turbo Uasin Gishu Rank 894,179 16 3,345 24 267 19 51.3 27 38.6 9 289,380 14,596 10,031 4,925 3,427 2,831 5 106 119 172 192 201 Kenya 821,491 12,368 66 47.2 29.9
Uasin Gishu Rank 76.2 9 18.3 18 124 46 3.4 19 61.6 43 13.1 15 Uasin Gishu Rank 177 41 267 9 63 12 66 31 573 35 Uasin Gishu 88.9 98.0 27.9 7.6 50.6 Rank 3 12 6 14 16
Uasin Gishu Rank 30.1 26 30.5 26 72.7 29 74.9 5 81.5 12 83.0 10
194 158 114 159 159
41 25 16 3
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Vihiga - Luanda Vihiga 554,622 531 1,045 41.8 31.4 118,696 49,346 Rank 34 46 3 13 11 14 47 Kenya 821,491 12,368 66 47.2 29.9
Vihiga Rank 65.0 21 105.7 47 37 30 5.5 34 71.2 12 12.7 17 Vihiga 348 214 27 236 135 960 Vihiga 76.4 99.1 7.0 16.6 60.4 Vihiga 26.1 25.8 73.2 62.2 70.2 74.3 Rank 13 19 26 4 12 8 Rank 10 9 28 2 5 Rank 33 31 27 22 25 24
202 192 193
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Wajir - Habaswein Wajir 661,941 56,686 12 84.0 14.6 82,800 8,500 Rank 27 3 43 45 34 30 130 Kenya 821,491 12,368 66 47.2 29.9
Wajir Rank 68.8 17 64.3 43 8 3 0.5 3 64.4 37 9.0 40 Wajir 266 125 3 2 25 420 Wajir 73.5 13.3 3.4 0.2 33.9 Wajir 5.1 5.4 72.7 21.7 26.2 55.5 Rank 28 43 46 35 41 43 Rank 16 47 41 41 39 Rank 47 47 28 47 45 40
General Information (2009) Population Surface area (km) Density (people per km) Poverty rate, based on KIHBS (%) Share of urban population (%) Urban population in largest towns - Kapenguria West Pokot 512,690 9,169 56 69.8 8.3 34,046 Rank 37 16 32 38 45 71 Kenya 821,491 12,368 66 47.2 29.9
West Pokot Rank 54.0 32 49.9 39 57 40 0.2 2 72.0 9 6.2 46 West Pokot 262 142 13 64 480 West Pokot 37.2 32.8 2.6 7.1 58.1 West Pokot 16.9 16.9 56.2 52.7 46.9 67.6 Rank 30 41 38 32 39 Rank 45 43 44 16 9 Rank 43 42 43 34 40 33
CRA FUNCTIONS AS PER THE CONSTITUTION
1. Recommend the basis of equitable sharing of revenue raised naonally between Naonal and County Governments (Art. 216) (1) (b) 2. Recommend the basis of equitable sharing of revenue raised by Naonal Government among County Governments (Art. 216)(1)(b) 3. Recommend on maers concerning the nancing of both County and Naonal Governments (Art. 216)(2) 4. Recommend on maers concerning nancial management of both the County and Naonal Governments (Art. 216)(2) 5. Dene and enhance revenue sources of Naonal Government (Art. 216)(3)(b) 6. Dene and enhance revenue sources of County Governments (Art. 216 (3)(b) 7. Encourage scal responsibility by Naonal Government (Art. 216 (3)(c) 8. Encourage scal responsibility by County Governments (Art. 216 (3)(c) 9. Be consulted and recommendaons be considered before Parliament passes any Bill appropriang money out of the Equalizaon Fund (Art. 204 (4)) 10. Be consulted on any Bill that includes provisions dealing with sharing of revenue (Art. 205) 11. Be consulted on any Bill that includes provisions dealing with any nancial maer concerning County Governments (Art. 205) 12. Publish and review the policy that sets out criteria for idenfying marginal areas in actualizaon of the Equalizaon Fund (Art. 206) 13. A CRA commissioner to parcipate, but shall not vote, in the meengs of the Commission for Implementaon of Constuon (Schedule 6 part 5 (5) 14. CRA shall be consulted and their recommendaons considered by Parliament for all laws being enacted relang to Devolved Government (schedule 6 part 14 (1) Note: Recommendaons are submied to Senate, the Naonal Assembly, the Naonal Execuve, County Assembly and County Execuve (Art. 216)
P. O. BOX 1310 00200 NAIROBI TEL: 254 -20 -3261224 E-MAIL: info@crakenya.org WEBSITE: www.crakenya.org
Fiscal Decentralization Knowledge Program (FDKP)
www.ausaid.gov.au Australian High Commission P. O. Box 39341 - 00623 Nairobi, Kenya Telephone: +254 - 20 - 4277143 Fax: +254 - 20 - 4277144
www.knbs.or.ke Treasury Building, Harambee Avenue P. O. Box 30005 - 00200 Nairobi, Kenya Telephone: +254 - 20 - 2252299 Fax: +254 - 20 - 218475
www.worldbank.org Hill Park, Upper Hill Road P. O. Box 30577 - 00100 Nairobi, Kenya Telephone: +254 - 20 - 3226000 Fax: +254 - 20 - 3226382
Design by Robert Waiharo
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