DECEMBER 2011
Table of ContentsForeword by CRA Chairman										 iAcknowledgements											 iiIntroduction	 	        	      	       	...
34. Nyamira County											3435. Nyandarua County											3536. Nyeri County											3637. Samburu County											...
Foreword by CRA ChairmanThe Commission on Revenue Allocation is a new institution created by the Constitution of Kenya.The...
AcknowledgementsCRA acknowledges the contribution and support of several key partners in the preparation of this inaugural...
IntroductionImmediately after the next General Elections, forty-seven County Governments will replace the Provincialand Lo...
List of Abbreviations                            CDF		      Constituency Development Fund                            CRA		...
Description of the Data and their Sources        DATA / VARIABLE  	     	        DESCRIPTION AND SOURCE    Population     ...
DATA / VARIABLE  	   	        DESCRIPTION AND SOURCE  Permit (SBP) and property       county own-source revenue streams, L...
What does the Data say?These Fact Sheets testify to inter-county variations         (thanks to agglomerations effects) and...
in the Fact Sheets provide some interesting insights           Consistent with its mandate, the CRA will workinto, the typ...
Figure 3:  County pattern of infrastructure development – Roads, electricity & waterSource: World Bank (2011). Infrastruct...
As stated in the Foreword, data is the cornerstone         These Fact Sheets are obviously incomplete. Perhapsof firm poli...
BARINGO COUNTYGeneral Information (2009)                                             Baringo         Rank1             Ken...
BOMET COUNTYGeneral Information (2009)                                              Bomet         Rankᵅ              Kenya...
BUNGOMA COUNTYGeneral Information (2009)                                          Bungoma Rankᵅ                        Ken...
BUSIA COUNTYGeneral Information (2009)                                               Busia        Rankᵅ              Kenya...
ELGEYO MARAKWET COUNTY General Information (2009)                                       E. Marakwet          Rankᵅ        ...
EMBU COUNTYGeneral Information (2009)                                               Embu         Rankᵅ              Kenyaᵇ...
GARISSA COUNTYGeneral Information (2009)                                              Garissa       Rankᵅ              Ken...
HOMA BAY COUNTYGeneral Information (2009)                                          Homa Bay          Rankᵅ              Ke...
ISIOLO COUNTYGeneral Information (2009)                                               Isiolo       Rankᵅ              Keny...
KAJIADO COUNTYGeneral Information (2009)                                             Kajiado        Rankᵅ              Ken...
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Kenya county fact_sheets_dec2011
Upcoming SlideShare
Loading in...5
×

Kenya county fact_sheets_dec2011

20,258

Published on

Kenya Counties

Published in: News & Politics
0 Comments
2 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
20,258
On Slideshare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
244
Comments
0
Likes
2
Embeds 0
No embeds

No notes for slide

Transcript of "Kenya county fact_sheets_dec2011"

  1. 1. DECEMBER 2011
  2. 2. Table of ContentsForeword by CRA Chairman iAcknowledgements iiIntroduction iiiList of Abbreviations ivDescription of the Data and their Sources vWhat does the Data say? viiCounty 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 910. Kajiado County 1011. Kakamega County 1112. Kericho County 1213. Kiambu County 1314. Kilifi County 1415. Kirinyaga County 1516. Kisii County 1617. Kisumu County 1718. Kitui County 1819. Kwale County 1920. Laikipia County 2021. Lamu County 2122. Machakos County 2223. Makueni County 2324. Mandera County 2425. Marsabit County 2526. Meru County 2627. Migori County 2728. Mombasa County 2829. Murang’a County 2930. Nairobi County 3031. Nakuru County 3132. Nandi County 3233. Narok County 33
  3. 3. 34. Nyamira County 3435. Nyandarua County 3536. Nyeri County 3637. Samburu County 3738. Siaya County 3839. Taita Taveta County 3940. Tana River County 4041. Tharaka Nithi County 4142. Trans Nzoia County 4243. Turkana County 4344. Uasin Gishu County 4445. Vihiga County 4546. Wajir County 4647. West Pokot County 47
  4. 4. Foreword by CRA ChairmanThe 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 ofrevenue raised nationally between the national government and the county governments and among the countygovernments. 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 theCounty 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 todevelopment 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 objectiveof the publications is to educate Kenyans on the role of the Commission, and the funding arrangements for Kenya’snew system of devolved government.Every effort has been made to ensure the facts in this document are accurate. We would however, request anyonewho 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 Allocationi Kenya: County Fact Sheets
  5. 5. AcknowledgementsCRA acknowledges the contribution and support of several key partners in the preparation of this inauguralversion 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 thebeginning of a long term partnership in the generation and dissemination of comprehensive county-leveldata, and its application towards the formulation of sound policy decisions not only by the CRA, but also byother government and non-governmental organizations.Secondly, CRA acknowledges support from the World Bank’s Fiscal Decentralization Knowledge Program(FDKP). Launched in November 2010 with financial assistance from the Australian Agency for InternationalDevelopment (AusAid), FDKP is supporting the Kenya’s Government to develop and implement the publicfinance provisions of the new Constitution. FDKP’s main objective is to share evidence-based knowledge withKenyan policy makers, consisting of international experiences with decentralization and also of data analysison Kenya.To all our other partners, we also say a hearty THANK YOU, and we look forward to your continued supportand partnership.Kenya: County Fact Sheets ii
  6. 6. IntroductionImmediately after the next General Elections, forty-seven County Governments will replace the Provincialand Local Government administration systems, which were created at independence. However, most of thedata that is collected and compiled in Kenya today can be mapped to either districts or provinces, and verylittle 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, socio-economic and administrative contours of Kenya’s 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 organizations—the public, media, businesses—who 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 ofeach of Kenya’s counties, and (ii) compare their performance across a wide range of indicators to the nationalaverage, or to the situation in other counties. This knowledge, ideally will guide policy, from the targeting ofpolicies 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 fronts—healthand education outcomes, funding per capita and access to infrastructure and to services. In highlightingthese disparities, the Fact Sheets might help to identify each county’s immediate-, medium- and longer-termpriorities for economic development and poverty reduction. They also constitute a useful baseline againstwhich progress can be measured, as Counties come into existence and start taking increasing responsibilityfor service delivery at the local level.Obviously, from the point of view of the CRA, this information will be a key input into our recommendationsto Parliament on a revenue sharing formula, which will need to be transparent, rule-based and grounded intoa solid assessment of county needs.It is our hope that the Fact Sheets will inform public discourse and contribute to improved policy coordinationbetween National and County Governments, among county governments and with non-governmental stakeholders.iii Kenya: County Fact Sheets
  7. 7. List of Abbreviations CDF Constituency Development Fund CRA Commission on Revenue Allocation DDP District Development Plan DRC District Roads Committee FDKP Fiscal Decentralization Knowledge Program GoK Government of Kenya KIHBS Kenya Integrated Household Budget Survey KNBS Kenya National Bureau of Statistics KRB Kenya Roads Board KURA Kenya Urban Roads Authority LA Local Authority LATF Local Authority Transfer Fund MoH Ministry of Health REPLF Rural Electrification Programme Levy Fund RMLF Road Maintenance Levy Fund SBP Single Business Permit TFDG Task Force on Devolved Government WB World BankKenya: County Fact Sheets iv
  8. 8. Description of the Data and their Sources DATA / VARIABLE DESCRIPTION AND SOURCE Population 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). Surface area and density 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. Poverty rate 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. Urban population This information is based on 2009 Census data and includes “core urban” and “peri-urban” residents within towns having at least 2,000 inhabitants. Health data 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. Education data The proportion of population with primary and secondary education is based on the 2009 Census. Constituency These data are CDF actual allocations (2003/04 – 2008/09) and estimates Development Fund (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. Local Authority Transfer These data have been obtained from LATF Annual Report and Review of Fund (LATF), Road Local Authority Financial Performance for the fiscal years 2007/08 and Maintenance Levy Fund 2008/09. Taken together, LATF, SBP and Property taxes have constituted (RMLF), Single Business the lion’s share of resources available to Kenya’s Local Authorities. While the latter two might be taken as a rough indicator of the core of futurev Kenya: County Fact Sheets
  9. 9. DATA / VARIABLE DESCRIPTION AND SOURCE Permit (SBP) and property county own-source revenue streams, LATF might be used as an indicator of rates future needs of urban areas, and of the partial costs that could be faced by counties in delivering services. Rural Electrification Data come from the Rural Electrification Authority (REA) and relate to Programme Levy Fund approved (not actual) spending on rural electrification programmes for the (REPLF) period 2003/04 – 2008/09. Access to improved water, These data are generated from the 2009 Census, and present the proportion improved sanitation and of Kenya households with access. Definitions for access to improved water electricity 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. Road Network This data is generated from District Development Plans (DDP), and reflects the proportion of Kenya’s classified road network that is paved, and in good or fair maintenance condition. Service coverage 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. Population and Following promulgation of the current Constitution, the number of proportion of nationally constituencies is to increase from 210 to 290. Since the process of registered voters in each distributing the 290 constituencies among the 47 counties has not been constituency 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.Kenya: County Fact Sheets vi
  10. 10. What does the Data say?These Fact Sheets testify to inter-county variations (thanks to agglomerations effects) and will generateon several fronts, and it is important for the reader the bulk of future county own revenues.to consider implications of these differences. Forexample, the demographic data presented in the first Like urbanization, the distribution of poverty willpart of the Fact Sheets reveal extensive variations in have important implications for the design of fiscalcounty populations and densities. Both population transfers to counties. Besides highlighting the wideand density will determine the cost of delivering disparities in the distribution of poverty across Kenya,services in the counties and therefore should drive the Fact Sheets point to a connection between countythe allocation of future transfers from the center to poverty rates and other variables such as accessthe sub-national units. to social services, urbanization or infrastructure development. To assess the performance of Kenya’sThe socio-economic profile of these populations and counties in meeting the service and developmenthence, the social fabric of Kenya’s counties is also needs of their population, it will be vital to developheterogeneous. While Kenya is urbanizing rapidly -- systems for tracking the evolution of these keymuch faster than the overall population growth rate indicators at the county level over time.-- the Fact Sheets show that most counties are stillpredominantly rural. Only five counties are more than A major limitation in preparing the Fact Sheets has50% urban and majority of counties have at least 80% been the absence of current fiscal information—of their populations residing in rural areas. (See figure revenues and expenditures—at sub national level. In1). This is important from a political economy point particular it has been impossible to date to assess theof view. In Kenya’s future County Assemblies, most geographic allocation of deconcentrated spending bymembers will be representing rural constituencies: the the central government, and therefore to develop achallenge will be to protect service delivery in urban complete and clear picture of financial flows at theareas, which are poles of economic development local level. Still, the Local Authority data displayed Figure 1: Only five counties are more than 50% urban 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Kajiado Kakamega Marsabit Samburu Kericho Wajir Elgeyo Marakwet Nairobi Nakuru Siaya Pokot Mombasa Kisumu Machakos Taita Taveta Kisii Bomet Busia Kiambu Vihiga Bungoma Lamu Muranga Embu Turkana Kitui Migori Laikipia Garissa Homa Bay Narok Isiolo Nyandarua Nandi Nyeri Nyamira Meru Kwale Mandera Makueni Baringo Tana River Kilifi Trans Nzoia Kirinyaga Tharaka Nithi U. Gishu Urban RuralData Source: KNBSvii Kenya: County Fact Sheets
  11. 11. in the Fact Sheets provide some interesting insights Consistent with its mandate, the CRA will workinto, the types of urban service and infrastructure with county governments to identify and enhancedevelopment costs that counties will be inheriting ,as own source revenues. This is essential to minimizewell as the own-revenue sources that counties will dependence by counties on transfers. The focus ofrequire to finance them. county governments should therefore be on wealth creation, which will no doubt have multiplier effectsWith specific reference to Local Authorities, within and across counties.transfers from the central government previouslycomprised of approximately 40% of local incomes, The data on education and health, water andwith property rates and business permits making up sanitation, access to electricity and the roadthe biggest components of own-source revenues, network all tell the story of historical inequities andespecially for urban authorities. Rural authorities to some extent of the failure of the state to equalizegenerally relied almost 50% on transfers, except in opportunities for all Kenyans (see figure 3). Kenyansregions with touristic resources (e.g. game parks). have embraced devolution with such passion becauseThe important point here is that, depending on their they expect that it will help fill these service deliverycharacteristics, counties will have varying capacity gaps. Again, tracking county performance over timeto generate revenue from their own resources (see on these indicators will provide a good measure of thefigure 2). With county functions increasing vastly extent to which the constitutional promise has beenover the next years, county own revenue sources are met. In addition identifying good performers amonglikely to remain comparable to what LAs collected, Kenya’s counties will generate lessons for others tothe importance of transfers will be major. Designing emulate. Identifying good performance requiresthem in a way that provides appropriate funding for credible county-level statistics, a major motivationcounties to meet their functions while taking into for these Fact Sheets.account own-revenue potential is a key challenge. Figure 2: Counties will have varying capacity to meet service delivery costs from their own revenue 100% 90% Strong dependence on transfers Strong own revenue base 80% 70% 60% 50% 40% 30% 20% 10% 0% Kirinyaga Marakwet Nyandarua Muranga Kakamega Kajiado Embu Lamu Bungoma Kwale Mombasa Samburu Homa Bay Vihiga Nandi Nakuru Bomet Tharaka Isiolo Narok Nyamira Mandera Migori Kisumu Kilifi Wajir Makueni Kitui Kericho Machakos Tana River Kisii Turkana Siaya Meru Marsabit Nyeri Kiambu West Pokot Garissa Busia Laikipia Baringo Taita Taveta Nairobi Trans Nzoia Uasin Gishu Transfers Own revenuesData Source: LATF Annual Report for 2008/09Kenya: County Fact Sheets viii
  12. 12. Figure 3: County pattern of infrastructure development – Roads, electricity & waterSource: World Bank (2011). Infrastructure for Shared Growth in Kenya – A Bumpy Ride to Prosperity, August 2011ix Kenya: County Fact Sheets
  13. 13. As stated in the Foreword, data is the cornerstone These Fact Sheets are obviously incomplete. Perhapsof firm policy decisions, and the CRA will work the most glaring omission is information on countywith all relevant agencies, particularly the Kenya contributions to Kenya’s Gross Domestic ProductNational Bureau of Statistics (KNBS) to ensure that (GDP), which to date has not been disaggregatedunder Kenya’s new system of devolved government, below the national level. Nonetheless, the CRAdecisions on the equitable sharing of revenue are has settled on the option of quickly releasing thisevidence-based, objective, trusted and predictable. work-in-progress version of the Fact Sheets, soIn collaboration with the KNBS and other agencies, that the information therein might contribute tothe CRA will also ensure that data definitions and the finalization of critical devolution-related policynorms are standardized, and that data collection decisions and public debate. The Kenya County Factand reporting mechanisms are synchronized across Sheets will be updated periodically, as part of whatall counties. Especially, it will be the goal of the CRA must become a regular exercise of data collectionto establish consensus around baseline data. To this and performance tracking at the local level. The CRAend, data that will be used by the CRA in formulating invites all readers to submit their suggestions forits revenue-sharing recommendations will need to be future publications.accurate, regularly updated, independent and free ofany local manipulation.Kenya: County Fact Sheets x
  14. 14. BARINGO COUNTYGeneral Information (2009) Baringo Rank1 Kenya2Population 555,561 33 821,491Surface area (km²) 11,015 14 12,368Density (people per km²) 50 33 66Poverty rate, based on KIHBS (%) 57.4 32 47.2Share of urban population (%) 11 43 29.9Urban population in largest towns - Kabarnet 25,346 78 - Eldama Ravine 17,872 93 - Marigat 6,661 144 - Maji Mazuri 4,265 179 - Mogotio 3,701 186 - Timboroa 3,150 197Health and Education Outcomes Baringo Rankᵅ KenyaᵇFully-immunized pop <1yr (%, 2010/11) 32.7 45 64.0Malaria (as % of all 1st outpatient visits) 11.8 8 27.7TB in every 10,000 people (2009/10) 6 2 39.0HIV+ ante-natal care clients (%, 2010) 3.0 16 5.9Population with primary education (%) 67.7 27 66.6Population with secondary education (%) 11.7 22 12.7Funding Per Capita in Kshs. (2008/09) Baringo Rankᵅ KenyaᵇConstituency Development Fund (CDF) 378 8 300Local Authority Transfer Fund (LATF) 190 29 218Single Business Permit revenues by LAs 26 28 48Property tax revenues by LAs 6 32 70Rural Electrification Programme Fund 147 7 88 Constituency Population and County Voter StatisticsTotal 747 13 725 County’s share of na�onally 1.3% registered voters in 2010Access to Infrastructure Baringo Rankᵅ KenyaᵇImproved water (% households 2009) 35.1 46 66.5 162Improved sanitation (% households 2009) 57.0 37 87.8 Popula�on in 000’s (2009)Electricity (% households 2009) 9.6 23 22.7 133Paved roads (as % of total roads) 15.7 4 9.4 105Good/fair roads (as % of total roads) 54.6 11 43.5 94Service Coverage Baringo Rankᵅ Kenyaᵇ 61Delivered in a health centre 32.9 21 37.5Qualified medical assistant during birth 33.6 23 37.6Had all vaccinations 76.5 24 75.0Adequate height for age 51.8 36 59.8Can read & write 67.3 27 66.4 Baringo Baringo Eldama Baringo Mogo�o Central East Ravine NorthAttending School, 15-18 years 87.4 5 70.9ᵅ Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. Source: KNBS.ᵇ All entries in the ‘Kenya’ column show County averages.Rural Electrification Allocations, Kshs Millions CDF Allocations, Kshs Millions 81 257 77 74 209 210 210 54 47 151 108 11 30 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10Source: Rural Electrification Authority. Source: CDF Board Website. Source: Ministry of Medical Services.Kenya: County Fact Sheets 1
  15. 15. BOMET COUNTYGeneral Information (2009) Bomet Rankᵅ KenyaᵇPopulation 724,186 24 821,491Surface area (km²) 2,471 39 12,368Density (people per km²) 293 17 66Poverty rate, based on KIHBS (%) 46.5 18 47.2Share of urban population (%) 18.3 24 29.9Urban population in largest towns - Bomet 83,729 29 - Sotik 8,366 132Health and Education Outcomes Bomet Rankᵅ KenyaᵇFully-immunized pop <1yr (%, 2010/11) 53.2 34 64.0Malaria (as % of all 1st outpatient visits) 8.2 4 27.7TB in every 10,000 people (2009/10) 17 12 39.0HIV+ ante-natal care clients (%, 2010) 2.3 10 5.9Population with primary education (%) 72.5 6 66.6Population with secondary education (%) 11.4 24 12.7Funding Per Capita in Kshs. (2008/09) Bomet Rankᵅ KenyaᵇConstituency Development Fund (CDF) 330 14 300Local Authority Transfer Fund (LATF) 118 44 218Single Business Permit revenues by LAs 23 29 48Property tax revenues by LAs 13 21 70Rural Electrification Programme Fund 135 11 88 Constituency Population and County Voter StatisticsTotal 620 31 725 County’s share of na�onally 1.9% registered voters in 2010Access to Infrastructure Bomet Rankᵅ KenyaᵇImproved water (% households 2009) 40.8 46 66.5 233Improved sanitation (% households 2009) 94.9 37 87.8 Popula�on in 000’s (2009)Electricity (% households 2009) 4.3 23 22.7 188Paved roads (as % of total roads) 5.4 4 9.4 164Good/fair roads (as % of total roads) 39.6 11 43.5 139Service Coverage Bomet Rankᵅ KenyaᵇDelivered in a health centre 34.8 20 37.5Qualified medical assistant during birth 38.5 19 37.6Had all vaccinations 87.5 10 75.0Adequate height for age 60.2 26 59.8Can read & write 74.7 18 66.4 Bomet So�k Chepalungu KonoinAttending School, 15-18 years 88.6 2 70.9ᵅ Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. Source: KNBS.ᵇ All entries in the ‘Kenya’ column show County averages. Rural Electrification Allocations, Kshs Millions CDF Allocations, Kshs Millions 99 98 257 209 210 210 57 151 48 108 29 30 0 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10Source: Rural Electrification Authority. Source: CDF Board Website. Source: Ministry of Medical Services.2 Kenya: County Fact Sheets
  16. 16. BUNGOMA COUNTYGeneral Information (2009) Bungoma Rankᵅ KenyaᵇPopulation 1,630,934 3 821,491Surface area (km²) 3,593 23 12,368Density (people per km²) 454 3 66Poverty rate, based on KIHBS (%) 52.9 28 47.2Share of urban population (%) 21.7 13 29.9Urban population in largest towns - Kimilili 94,927 23 - Bungoma 55,867 40 - Webuye 41,344 59 - Malakisi 17,083 98 - Chwele 7,206 141 - Kapsokwony 6,152 153 - Cheptais 3,899 183 - Tongaren 2,793 203Health and Education Outcomes Bungoma Rankᵅ KenyaᵇFully-immunized pop <1yr (%, 2010/11) 92.4 1 64.0Malaria (as % of all 1st outpatient visits) 89.2 46 27.7TB in every 10,000 people (2009/10) 15 9 39.0HIV+ ante-natal care clients (%, 2010) 2.3 9 5.9Population with primary education (%) 72.8 4 66.6Population with secondary education (%) 11.0 26 12.7Funding Per Capita in Kshs. (2008/09) Bungoma Rankᵅ KenyaᵇConstituency Development Fund (CDF) 192 38 300Local Authority Transfer Fund (LATF) 162 37 218Single Business Permit revenues by LAs 27 27 48Property tax revenues by LAs 10 26 70Rural Electrification Programme Fund 72 29 88 Constituency Population and County Voter StatisticsTotal 464 41 725 County’s share of na�onally 3.1% registered voters in 2010Access to Infrastructure Bungoma Rankᵅ KenyaᵇImproved water (% households 2009) 88.9 2 66.5Improved sanitation (% households 2009) 96.6 17 87.8 Popula�on in 000’s (2009) 320Electricity (% households 2009) 4.5 38 22.7Paved roads (as % of total roads) 6.0 22 9.4 256 244Good/fair roads (as % of total roads) 46.7 21 43.5 230 230 179 172Service Coverage Bungoma Rankᵅ KenyaᵇDelivered in a health centre 18.1 41 37.5Qualified medical assistant during birth 14.7 43 37.6Had all vaccinations 68.3 34 75.0Adequate height for age 63.3 20 59.8Can read & write 60.5 32 66.4 Kimilili Amagoro Sirisia Webuye Kanduyi Bumula Mt. ElgonAttending School, 15-18 years 87.6 4 70.9ᵅ Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. Source: KNBS.ᵇ All entries in the ‘Kenya’ column show County averages. Rural Electrification Allocations, Kshs Millions CDF Allocations, Kshs Millions 368 114 118 106 311 314 95 262 225 68 170 35 5 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10Source: Rural Electrification Authority. Source: CDF Board Website. Source: Ministry of Medical Services.Kenya: County Fact Sheets 3
  17. 17. BUSIA COUNTYGeneral Information (2009) Busia Rankᵅ KenyaᵇPopulation 488,075 38 821,491Surface area (km²) 1,134 43 12,368Density (people per km²) 430 10 66Poverty rate, based on KIHBS (%) 66.7 37 47.2Share of urban population (%) 16.4 28 29.9Urban population in largest towns - Busia 51,981 43 - Malaba 21,477 84 - Port Victoria 6,561 146 - Nambale 4,941 171 - Bumala 3,504 189Health and Education Outcomes Busia Rankᵅ KenyaᵇFully-immunized pop <1yr (%, 2010/11) 58.1 27 64.0Malaria (as % of all 1st outpatient visits) 37.3 33 27.7TB in every 10,000 people (2009/10) 37 31 39.0HIV+ ante-natal care clients (%, 2010) 8.1 41 5.9Population with primary education (%) 72.3 7 66.6Population with secondary education (%) 9.9 34 12.7Funding Per Capita in Kshs. (2008/09) Busia Rankᵅ KenyaᵇConstituency Development Fund (CDF) 486 5 300Local Authority Transfer Fund (LATF) 305 5 218Single Business Permit revenues by LAs 49 17 48Property tax revenues by LAs 13 22 70Rural Electrification Programme Fund 181 3 88 Constituency Population and County Voter StatisticsTotal 1,035 6 725 County’s share of na�onally 1.8% registered voters in 2010Access to Infrastructure Busia Rankᵅ KenyaᵇImproved water (% households 2009) 82.9 6 66.5Improved sanitation (% households 2009) 92.0 22 87.8 Popula�on in 000’s (2009)Electricity (% households 2009) 6.0 32 22.7 206Paved roads (as % of total roads) 4.9 30 9.4Good/fair roads (as % of total roads) 58.6 7 43.5Service Coverage Busia Rankᵅ Kenyaᵇ 122Delivered in a health centre 30.7 24 37.5 94 67Qualified medical assistant during birth 25.1 32 37.6Had all vaccinations 78.5 21 75.0Adequate height for age 60.7 25 59.8Can read & write 56.7 35 66.4 Nambale Butula Funyula BudalangiAttending School, 15-18 years 78.1 16 70.9ᵅ Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. Source: KNBS.ᵇ All entries in the ‘Kenya’ column show County averages. Rural Electrification Allocations, Kshs Millions CDF Allocations, Kshs Millions 100 287 88 235 238 237 174 46 126 41 32 33 4 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10Source: Rural Electrification Authority. Source: CDF Board Website. Source: Ministry of Medical Services.4 Kenya: County Fact Sheets
  18. 18. ELGEYO MARAKWET COUNTY General Information (2009) E. Marakwet Rankᵅ Kenyaᵇ Population 369,998 40 821,491 Surface area (km²) 3,030 28 12,368 Density (people per km²) 122 28 66 Poverty rate, based on KIHBS (%) 55.5 31 47.2 Share of urban population (%) 14.4 35 29.9 Urban population in largest towns - Iten/Tambach 42,312 56 - Kapsowar 4,492 177 - Kapcherop 3,168 196 Health and Education Outcomes E. Marakwet Rankᵅ Kenyaᵇ Fully-immunized pop <1yr (%, 2010/11) 70.8 15 64.0 Malaria (as % of all 1st outpatient visits) 3.4 2 27.7 TB in every 10,000 people (2009/10) 9 20 39.0 HIV+ ante-natal care clients (%, 2010) 1.3 7 5.9 Population with primary education (%) 71.3 10 66.6 Population with secondary education (%) 10.6 30 12.7 Funding Per Capita in Kshs. (2008/09) E. Marakwet Rankᵅ Kenyaᵇ Constituency Development Fund (CDF) 438 6 300 Local Authority Transfer Fund (LATF) 171 36 218 Single Business Permit revenues by LAs 22 32 48 Property tax revenues by LAs 24 16 70 Rural Electrification Programme Fund 169 4 88 Constituency Population and County Voter Statistics Total 823 11 725 County’s share of na�onally 1.0% registered voters in 2010 Access to Infrastructure E. Marakwet Rankᵅ Kenyaᵇ Improved water (% households 2009) 44.2 41 66.5 Improved sanitation (% households 2009) 81.2 29 87.8 109 108 Popula�on in 000’s (2009) Electricity (% households 2009) 7.2 27 22.7 Paved roads (as % of total roads) 5.7 24 9.4 79 74 Good/fair roads (as % of total roads) 60.8 3 43.5 Service Coverage E. Marakwet Rankᵅ Kenyaᵇ Delivered in a health centre 37.1 19 37.5 Qualified medical assistant during birth 35.4 21 37.6 Had all vaccinations 81.0 17 75.0 Adequate height for age 66.1 14 59.8 Can read & write 77.6 15 66.4 Keiyo South Marakwet West Marakwet East Keiyo North Attending School, 15-18 years 84.8 7 70.9 ᵅ Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. Source: KNBS. ᵇ All entries in the ‘Kenya’ column show County averages. Rural Electrification Allocations, Kshs Millions CDF Allocations, Kshs Millions 122 198 161 162 162 77 65 116 63 86 27 24 1 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10Source: Rural Electrification Authority. Source: CDF Board Website. Source: Ministry of Medical Services.Kenya: County Fact Sheets 5
  19. 19. EMBU COUNTYGeneral Information (2009) Embu Rankᵅ KenyaᵇPopulation 516,212 36 821,491Surface area (km²) 2,818 30 12,368Density (people per km²) 183 25 66Poverty rate, based on KIHBS (%) 42.0 14 47.2Share of urban population (%) 16.1 30 29.9Urban population in largest towns - Embu 60,673 37 - Runyenjes 19,548 88 - Siakago 2,694 204Health and Education Outcomes Embu Rankᵅ KenyaᵇFully-immunized pop <1yr (%, 2010/11) 33.4 44 64.0Malaria (as % of all 1st outpatient visits) 42.8 36 27.7TB in every 10,000 people (2009/10) 32 27 39.0HIV+ ante-natal care clients (%, 2010) 4.0 25 5.9Population with primary education (%) 71.3 11 66.6Population with secondary education (%) 15.5 8 12.7Funding Per Capita in Kshs. (2008/09) Embu Rankᵅ KenyaᵇConstituency Development Fund (CDF) 363 10 300Local Authority Transfer Fund (LATF) 156 38 218Single Business Permit revenues by LAs 72 8 48Property tax revenues by LAs - - 70Rural Electrification Programme Fund 143 8 88 Constituency Population and County Voter StatisticsTotal 734 14 725 County’s share of na�onally 1.8% registered voters in 2010Access to Infrastructure Embu Rankᵅ KenyaᵇImproved water (% households 2009) 62.1 28 66.5Improved sanitation (% households 2009) 98.2 11 87.8 155 Popula�on in 000’s (2009) 142Electricity (% households 2009) 14.9 16 22.7 130Paved roads (as % of total roads) 4.5 35 9.4Good/fair roads (as % of total roads) 33.7 40 43.5 89Service Coverage Embu Rankᵅ KenyaᵇDelivered in a health centre 60.4 9 37.5Qualified medical assistant during birth 62.5 8 37.6Had all vaccinations 87.9 9 75.0Adequate height for age 70.8 8 59.8Can read & write 92.7 4 66.4 Manya�a Runyenjes Gachoka SiakagoAttending School, 15-18 years 71.3 28 70.9ᵅ Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. Source: KNBS.ᵇ All entries in the ‘Kenya’ column show County averages.Rural Electrification Allocations, Kshs Millions CDF Allocations, Kshs Millions 90 246 228 74 186 187 62 136 37 104 28 27 24 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10Source: Rural Electrification Authority. Source: CDF Board Website. Source: Ministry of Medical Services.6 Kenya: County Fact Sheets
  20. 20. GARISSA COUNTYGeneral Information (2009) Garissa Rankᵅ KenyaᵇPopulation 623,060 29 821,491Surface area (km²) 44,175 4 12,368Density (people per km²) 14 41 66Poverty rate, based on KIHBS (%) 49.2 24 47.2Share of urban population (%) 23.5 16 29.9Urban population in largest towns - Garissa 116,317 16 - Masalani 14,012 107 - Daadab 5,723 160Health and Education Outcomes Garissa Rankᵅ KenyaᵇFully-immunized pop <1yr (%, 2010/11) 55.8 29 64.0Malaria (as % of all 1st outpatient visits) 53.2 41 27.7TB in every 10,000 people (2009/10) 14 8 39.0HIV+ ante-natal care clients (%, 2010) 0.6 4 5.9Population with primary education (%) 65.0 35 66.6Population with secondary education (%) 9.6 38 12.7Funding Per Capita in Kshs. (2008/09) Garissa Rankᵅ KenyaᵇConstituency Development Fund (CDF) 272 25 300Local Authority Transfer Fund (LATF) 198 25 218Single Business Permit revenues by LAs 12 39 48Property tax revenues by LAs 8 30 70Rural Electrification Programme Fund 103 19 88 Constituency Population and County Voter StatisticsTotal 594 34 725 County’s share of na�onally 0.6% registered voters in 2010Access to Infrastructure Garissa Rankᵅ KenyaᵇImproved water (% households 2009) 75.8 13 66.5Improved sanitation (% households 2009) 51.5 39 87.8 Popula�on in 000’s (2009) 245Electricity (% households 2009) 11.6 20 22.7Paved roads (as % of total roads) Unavailable 97.0 9.4 190Good/fair roads (as % of total roads) 54.1 13 43.5Service Coverage Garissa Rankᵅ KenyaᵇDelivered in a health centre 25.1 34 37.5 95 93Qualified medical assistant during birth 23.9 34 37.6Had all vaccinations 74.6 25 75.0Adequate height for age 49.3 39 59.8Can read & write 52.4 37 66.4 Lagdera Dujis Fafi IjaraAttending School, 15-18 years 43.9 45 70.9ᵅ Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. Source: KNBS.ᵇ All entries in the ‘Kenya’ column show County averages.Rural Electrification Allocations, Kshs Millions CDF Allocations, Kshs Millions 73 207 64 169 168 170 121 94 22 15 24 0 0 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10Source: Rural Electrification Authority. Source: CDF Board Website. Source: Ministry of Medical Services.Kenya: County Fact Sheets 7
  21. 21. HOMA BAY COUNTYGeneral Information (2009) Homa Bay Rankᵅ KenyaᵇPopulation 958,791 13 821,491Surface area (km²) 2,586 32 12,368Density (people per km²) 371 11 66Poverty rate, based on KIHBS (%) 44.1 15 47.2Share of urban population (%) 14.3 36 29.9Urban population in largest towns - Homa Bay 58,936 38 - Awendo 17,992 92 - Mbita Point 11,989 109 - Sindo 6,362 149Health and Education Outcomes Homa Bay Rankᵅ KenyaᵇFully-immunized pop <1yr (%, 2010/11) 50.7 38 64.0Malaria (as % of all 1st outpatient visits) 50.4 40 27.7TB in every 10,000 people (2009/10) 44 35 39.0HIV+ ante-natal care clients (%, 2010) 17.1 46 5.9Population with primary education (%) 65.6 33 66.6Population with secondary education (%) 11.8 21 12.7Funding Per Capita in Kshs. (2008/09) Homa Bay Rankᵅ KenyaᵇConstituency Development Fund (CDF) 317 16 300Local Authority Transfer Fund (LATF) 94 45 218Single Business Permit revenues by LAs 9 43 48Property tax revenues by LAs 2 37 70Rural Electrification Programme Fund 41 37 88 Constituency Population and County Voter StatisticsTotal 463 42 725 County’s share of na�onally 2.6% registered voters in 2010Access to Infrastructure Homa Bay Rankᵅ KenyaᵇImproved water (% households 2009) 38.6 44 66.5Improved sanitation (% households 2009) 61.4 36 87.8 Popula�on in 000’s (2009) 221Electricity (% households 2009) 3.3 42 22.7 209 194Paved roads (as % of total roads) 4.8 32 9.4 172 162Good/fair roads (as % of total roads) 42.9 26 43.5Service Coverage Homa Bay Rankᵅ Kenyaᵇ 103Delivered in a health centre 39.8 17 37.5Qualified medical assistant during birth 37.0 20 37.6Had all vaccinations 50.3 45 75.0Adequate height for age 53.7 33 59.8Can read & write 73.3 20 66.4 KASIPUL RONGO RANGWE NDHIWA GWASI KARACHUONYO KABONDOAttending School, 15-18 years 83.2 9 70.9ᵅ Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. Source: KNBS.ᵇ All entries in the ‘Kenya’ column show County averages. Rural Electrification Allocations, Kshs Millions CDF Allocations, Kshs Millions 39 367 38 297 298 304 219 22 22 18 167 36 2 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10Source: Rural Electrification Authority. Source: CDF Board Website. Source: Ministry of Medical Services.8 Kenya: County Fact Sheets
  22. 22. ISIOLO COUNTYGeneral Information (2009) Isiolo Rankᵅ KenyaᵇPopulation 143,294 46 821,491Surface area (km²) 25,336 8 12,368Density (people per km²) 6 46 66Poverty rate, based on KIHBS (%) 72.6 40 47.2Share of urban population (%) 43.5 7 29.9Urban population in largest towns - Isiolo 45,989 52 - Merti 6,532 147 - Kinna 4,867 173 - Garbatulla 3,774 185Health and Education Outcomes Isiolo Rankᵅ KenyaᵇFully-immunized pop <1yr (%, 2010/11) 77.8 7 64.0Malaria (as % of all 1st outpatient visits) 49.8 38 27.7TB in every 10,000 people (2009/10) 51 38 39.0HIV+ ante-natal care clients (%, 2010) 4.0 24 5.9Population with primary education (%) 65.7 31 66.6Population with secondary education (%) 9.7 36 12.7Funding Per Capita in Kshs. (2008/09) Isiolo Rankᵅ KenyaᵇConstituency Development Fund (CDF) 551 3 300Local Authority Transfer Fund (LATF) 270 7 218Single Business Permit revenues by LAs 11 41 48Property tax revenues by LAs 182 5 70Rural Electrification Programme Fund - - 88 Constituency Population and County Voter StatisticsTotal 1,013 7 725 County’s share of na�onally 0.4% registered voters in 2010Access to Infrastructure Isiolo Rankᵅ KenyaᵇImproved water (% households 2009) 84.6 4 66.5Improved sanitation (% households 2009) 55.7 38 87.8 100 Popula�on in 000’s (2009)Electricity (% households 2009) 18.5 8 22.7Paved roads (as % of total roads) 0.2 40 9.4Good/fair roads (as % of total roads) 67.5 1 43.5Service Coverage Isiolo Rankᵅ Kenyaᵇ 43Delivered in a health centre 28.0 30 37.5Qualified medical assistant during birth 27.9 29 37.6Had all vaccinations 72.2 30 75.0Adequate height for age 76.1 3 59.8Can read & write 59.8 33 66.4 Isiolo North Isiolo SouthAttending School, 15-18 years 58.4 39 70.9ᵅ Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. Source: KNBS.ᵇ All entries in the ‘Kenya’ column show County averages. Rural Electrification Allocations, Kshs Millions CDF Allocations, Kshs Millions 141 96 78 79 79 57 44 33 12 0 0 0 0 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10Source: Rural Electrification Authority. Source: CDF Board Website. Source: Ministry of Medical Services.Kenya: County Fact Sheets 9
  23. 23. KAJIADO COUNTYGeneral Information (2009) Kajiado Rankᵅ KenyaᵇPopulation 687,312 26 821,491Surface area (km²) 21,901 9 12,368Density (people per km²) 31 38 66Poverty rate, based on KIHBS (%) 11.6 1 47.2Share of urban population (%) 41.4 8 29.9Urban population in largest towns - Ngong 107,188 19 - Kitengela 58,167 39 - Ongata Rongai 40,178 62 - Kiserian 18,096 91 - Kajiado 14,860 104 - Loitokitok 11,064 113 - Namanga 9,066 126 - Isinya 8,670 128 - Sultan Hamud 6,636 145 - Bissil 5,376 165Health and Education Outcomes Kajiado Rankᵅ KenyaᵇFully-immunized pop <1yr (%, 2010/11) 30.9 47 64.0Malaria (as % of all 1st outpatient visits) 24.8 26 27.7TB in every 10,000 people (2009/10) 15 10 39.0HIV+ ante-natal care clients (%, 2010) 4.7 30 5.9Population with primary education (%) 62.0 41 66.6Population with secondary education (%) 12.5 19 12.7Funding Per Capita in Kshs. (2008/09) Kajiado Rankᵅ KenyaᵇConstituency Development Fund (CDF) 199 37 300Local Authority Transfer Fund (LATF) 191 28 218Single Business Permit revenues by LAs 56 14 48Property tax revenues by LAs 34 14 70Rural Electrification Programme Fund 54 34 88 Constituency Population and County Voter StatisticsTotal 533 38 725 County’s share of na�onally 1.6% registered voters in 2010Access to Infrastructure Kajiado Rankᵅ KenyaᵇImproved water (% households 2009) 72.3 17 66.5 388Improved sanitation (% households 2009) 74.2 31 87.8 Popula�on in 000’s (2009)Electricity (% households 2009) 39.8 4 22.7Paved roads (as % of total roads) 5.9 23 9.4Good/fair roads (as % of total roads) 38.4 35 43.5Service Coverage Kajiado Rankᵅ Kenyaᵇ 162Delivered in a health centre 39.7 18 37.5 137Qualified medical assistant during birth 39.8 18 37.6Had all vaccinations 70.7 31 75.0Adequate height for age 73.0 7 59.8Can read & write 55.4 36 66.4 Kajiado North Kajiado Central Kajiado SouthAttending School, 15-18 years 44.9 44 70.9ᵅ Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest. Source: KNBS.ᵇ All entries in the ‘Kenya’ column show County averages.Rural Electrification Allocations, Kshs Millions CDF Allocations, Kshs Millions 89 167 78 136 137 137 55 98 75 37 22 40 17 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10Source: Rural Electrification Authority. Source: CDF Board Website. Source: Ministry of Medical Services.10 Kenya: County Fact Sheets

×