Kenya_County_Fact_Sheets_Dec2011.pdf

DECEMBER 2011

Table of Contents

Foreword by CRA Chairman iAcknowledgements iiIntroduction iiiListofAbbreviations ivDescriptionoftheDataandtheirSources vWhat does the Data say? viiCountyFactSheets 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

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

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 Kenya’s 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 CheseremChairman,CommissiononRevenueAllocation

Foreword by CRA Chairman

i 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 Bank’s Fiscal Decentralization Knowledge Program (FDKP). Launched in November 2010 with financial assistance from the Australian Agency for International Development (AusAid), FDKP is supporting the Kenya’s Government to develop and implement the public finance provisions of the new Constitution. FDKP’s 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.

Acknowledgements

iiKenya: County Fact Sheets

ImmediatelyafterthenextGeneralElections,forty-sevenCountyGovernmentswillreplacetheProvincialandLocalGovernmentadministrationsystems,whichwerecreatedatindependence.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, 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 of each of Kenya’s 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 fronts—health 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 county’s 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.

Introduction

iii Kenya: County Fact Sheets

ListofAbbreviations

CDF Constituency Development FundCRA Commission on Revenue AllocationDDP District Development PlanDRC District Roads CommitteeFDKP Fiscal Decentralization Knowledge ProgramGoK Government of KenyaKIHBS Kenya Integrated Household Budget Survey KNBS Kenya National Bureau of StatisticsKRB Kenya Roads BoardKURA Kenya Urban Roads Authority LA Local AuthorityLATF Local Authority Transfer FundMoH Ministry of HealthREPLF Rural Electrification Programme Levy FundRMLF Road Maintenance Levy FundSBP Single Business PermitTFDG Task Force on Devolved GovernmentWB World Bank

ivKenya: County Fact Sheets

DescriptionoftheDataandtheirSources

Population

Surfaceareaanddensity

Povertyrate

Urbanpopulation

Health data

Educationdata

ConstituencyDevelopment Fund

Local Authority Transfer Fund (LATF), Road Maintenance Levy Fund (RMLF),SingleBusiness

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.

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-immunizedpopulationunder1year– 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%ofallfirstoutpatientvisits)– 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 10,000people – This figure is the record of new cases of tuberculosis (TB) detected in every 10,000 people.

• HIV-positiveante-natalcareclients – 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 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 future

DATA/VARIABLE DESCRIPTIONANDSOURCE

v Kenya: County Fact Sheets

DATA/VARIABLE DESCRIPTIONANDSOURCE

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 Kenya’s 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.

• Qualifiedmedicalassistantduringbirth – 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.

• Hadallvaccinations– 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.

•AttendingSchool,15-18years– 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.

Permit(SBP)andpropertyrates

RuralElectrificationProgrammeLevyFund(REPLF)

Access to improved water, improvedsanitationandelectricity

Road Network

Servicecoverage

Populationandproportionofnationallyregistered voters in each constituency

viKenya: County Fact Sheets

TheseFactSheetstestifytointer-countyvariationson 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.

Thesocio-economicprofileofthesepopulationsandhence, the social fabricofKenya’s counties is alsoheterogeneous. 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 Kenya’s 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 willhaveimportantimplicationsforthedesignoffiscaltransferstocounties. 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 Kenya’s 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.

AmajorlimitationinpreparingtheFactSheetshasbeen the absence of current fiscal information—revenuesandexpenditures—atsubnationallevel.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

Figure1:Onlyfivecountiesaremorethan50%urban

Data Source: KNBS

What does the Data say?

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

iboriaN

asabmo

Mub

maiKu

musiKsokahca

Muruka

NoloisIodaijaKuhsiG .

Uirogi

MagihiVohcireKifiliK

aipikiaLirey

NassiraGatevaT atiaTtibasra

Ma

mognuBiisiK

aiozN snarT

umaL

auradnayN

temoB

elawK

arednaM

urubmaS

aisuBa'gnaru

Mub

mEagayniriKage

makaKreviR anaTrija

Wte

wkaraM oyeglE

yaB amoH

anakruTari

mayN

iutiKidna

Nure

Mineuka

MogniraBayaiStokoPkora

Nihti

N akarahT

Urban Rural

vii Kenya: County Fact Sheets

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 comprisedofapproximately40%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 countygovernments to identifyandenhanceown 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 andsanitation, access to electricity and the roadnetworkalltellthestoryofhistoricalinequitiesandtosomeextentofthefailureofthestatetoequalizeopportunitiesforallKenyans (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 Kenya’s counties will generate lessons for others to emulate. Identifying good performance requires credible county-level statistics, a major motivation for these Fact Sheets.

Figure2:Countieswillhavevaryingcapacitytomeetservicedeliverycostsfromtheirownrevenue

Data Source: LATF Annual Report for 2008/09

viiiKenya: County Fact Sheets

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

arimay

Nassira

GanakruTrija

WtokoP tse

Waredna

Mineuka

MyaB a

moHayaiSagihiVidna

NreviR anaTiisiK

agemakaK

temoB

amognuB

irogiM

aiozN snarT

tewkara

MakarahTogniraBiutiK

ureM

elawK

umusiK

umaL

aisuBtibasra

Mauradnay

NifiliK

urukaN

agayniriKa'gnaru

MohcireKodaijaKasab

moM

ireyN

uhsiG nisaU

ubmE

atevaT atiaTsokahca

Mub

maiKaipikiaLiboria

Nurub

maSoloisIkora

N

Transfers Own revenues

Strong dependence on transfers Strong own revenue base

Source: World Bank (2011). Infrastructure for Shared Growth in Kenya – A Bumpy Ride to Prosperity, August 2011

Figure3:Countypatternofinfrastructuredevelopment–Roads,electricity&water

ix Kenya: County Fact Sheets

As stated in the Foreword, data is the cornerstone of firm policy decisions, and the CRA will workwith all relevant agencies, particularly the KenyaNationalBureauofStatistics(KNBS)toensurethatunder Kenya’s new system of devolved government, decisions on the equitable sharing of revenue are evidence-based,objective,trustedandpredictable. 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.

TheseFactSheetsareobviouslyincomplete.Perhaps the most glaring omission is information on county contributions to Kenya’s 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.

xKenya: County Fact Sheets

1Kenya: County Fact Sheets

162

133

105 94

61

Baringo Central

Baringo East

Eldama Ravine

Baringo North

Mogo�o

1.3% County’s share of na�onally registered voters in 2010

Popu

la�o

n in

000

’s (2

009)

ConstituencyPopulationandCountyVoterStatistics

Source: KNBS.

11

47

74 77

54

81

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09

RuralElectrificationAllocations,KshsMillions

Source: Rural Electrification Authority.

30

108

151

209 210 210

257

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10

CDFAllocations,KshsMillions

Source: CDF Board Website. Source: Ministry of Medical Services.

BARINGOCOUNTY

ᵅ Except poverty rate, malaria TB & HIV, all rankings are in descending order i.e. highest to lowest.ᵇ All entries in the ‘Kenya’ column show County averages.

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)

Rankᵅ4637

234

11

Kenyaᵇ 66.587.822.7

9.443.5

Baringo35.157.0

9.615.754.6

Rankᵅ 45

8 2

16 2722

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7

HealthandEducationOutcomesFully-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 (%)

Baringo 32.7 11.8

6 3.0

67.711.7

Rankᵅ 8

29 28 32

7 13

Kenyaᵇ 300 218

48 70 88 725

FundingPerCapitainKshs.(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 FundTotal

Baringo 378 190

26 6

147 747

Rankᵅ2123243627

5

Kenyaᵇ 37.537.675.059.866.470.9

ServiceCoverageDelivered in a health centre Qualified medical assistant during birth Had all vaccinations Adequate height for age Can read & write Attending School, 15-18 years

Baringo32.933.676.551.867.387.4

GeneralInformation(2009)PopulationSurface area (km²)Density (people per km²)Poverty rate, based on KIHBS (%)Share of urban population (%)Urban population in largest towns

- Kabarnet- Eldama Ravine- Marigat- Maji Mazuri- Mogotio- Timboroa

Baringo555,561

11,01550

57.411

25,346 17,872

6,661 4,265 3,701 3,150

Rank1

33 14 33 3243

78 93

144 179 186 197

Kenya2

821,491 12,368

66 47.229.9

2 Kenya: County Fact Sheets

233

188 164

139

Bomet So�k Chepalungu Konoin


Popu

la�o

n in

000

’s (2

009)


Source: KNBS.

0

4857

99

29

98

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



30

108

151

209 210 210

257

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



BOMETCOUNTY



Rankᵅ463723

411

Kenyaᵇ 66.587.822.7

9.443.5

Bomet40.894.9

4.35.4

39.6

Rankᵅ 34

4 12 10

624

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Bomet 53.2

8.2 17

2.3 72.511.4

Rankᵅ 14 44 29 21 11 31

Kenyaᵇ 300 218

48 70 88 725


Bomet 330 118

23 13

135 620

Rankᵅ2019102618

2

Kenyaᵇ 37.537.675.059.866.470.9


Bomet34.838.587.560.274.788.6


- Bomet - Sotik

Bomet 724,186

2,471 293 46.518.3

83,729 8,366

Rankᵅ 24 39 17 1824

29 132

Kenyaᵇ 821,491 12,368

66 47.229.9

320

256 244 230 230

179 172

Kimilili Amagoro Sirisia Webuye Kanduyi Bumula Mt. Elgon


Popu

la�o

n in

000

’s (2

009)


Source: KNBS.

5

10695

114

68

118

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



35

170

225

311

262

314

368

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



BUNGOMACOUNTY




Rankᵅ2

17382221

Kenyaᵇ 66.587.822.7

9.443.5

Bungoma88.996.6

4.56.0

46.7

Rankᵅ 1

46 9 9 4

26

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Bungoma 92.4 89.2

15 2.3

72.811.0

Rankᵅ 38 37 27 26 29 41

Kenyaᵇ 300 218

48 70 88 725


Bungoma 192 162

27 10 72

464

Rankᵅ4143342032

4

Kenyaᵇ 37.537.675.059.866.470.9


Bungoma18.114.768.363.360.587.6


- Kimilili- Bungoma- Webuye- Malakisi- Chwele- Kapsokwony- Cheptais- Tongaren

Bungoma 1,630,934

3,593 454 52.921.7

94,927 55,867 41,344 17,083

7,206 6,152 3,899 2,793

Rankᵅ 3

23 3

2813

23 40 59 98

141 153 183 203

Kenyaᵇ 821,491 12,368

66 47.229.9


206

122

94 67

Nambale Butula Funyula Budalangi


Popu

la�o

n in

000

’s (2

009)


Source: KNBS.

4

46

32

100

41

88

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



33

126

174

235 238 237

287

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



BUSIACOUNTY



Rankᵅ6

223230

7

Kenyaᵇ 66.587.822.7

9.443.5

Busia82.992.0

6.04.9

58.6

Rankᵅ 27 33 31 41

734

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Busia 58.1 37.3

37 8.1

72.39.9

Rankᵅ 5 5

17 22

3 6

Kenyaᵇ 300 218

48 70 88 725


Busia 486 305

49 13

181 1,035

Rankᵅ243221253516

Kenyaᵇ 37.537.675.059.866.470.9


Busia30.725.178.560.756.778.1


- Busia- Malaba- Port Victoria- Nambale- Bumala

Busia 488,075

1,134 430 66.716.4

51,981 21,477

6,561 4,941 3,504

Rankᵅ 38 43 10 3728

43 84

146 171 189

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009) 109 108

79 74

Keiyo South Marakwet West Marakwet East Keiyo North


Source: KNBS.

1

122

27

6577

63

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



24

86

116

161 162 162

198

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



ELGEYOMARAKWETCOUNTY




Rankᵅ41292724

3

Kenyaᵇ 66.587.822.7

9.443.5

E.Marakwet44.281.2

7.25.7

60.8

Rankᵅ 15

2 20

7 1030

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


E.Marakwet 70.8

3.4 9

1.3 71.310.6

Rankᵅ 6 36 32 16

4 11

Kenyaᵇ 300 218

48 70 88 725


E.Marakwet 438 171

22 24

169 823

Rankᵅ1921171415

7

Kenyaᵇ 37.537.675.059.866.470.9


E.Marakwet37.135.481.066.177.684.8


- Iten/Tambach- Kapsowar- Kapcherop

E.Marakwet 369,998

3,030 122 55.514.4

42,312 4,492 3,168

Rankᵅ 40 28 28 3135

56 177 196

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009) 155

142 130

89

Manya�a Runyenjes Gachoka Siakago


Source: KNBS.

28 27

62

90

37

74

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



24

104

136

186

246

187

228

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



EMBUCOUNTY



Rankᵅ2811163540

Kenyaᵇ 66.587.822.7

9.443.5

Embu62.198.214.9

4.533.7

Rankᵅ 44 36 27 25 11

8

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Embu 33.4 42.8

32 4.0

71.315.5

Rankᵅ 10 38

8 - 8 14

Kenyaᵇ 300 218

48 70 88 725


Embu 363 156

72 -

143 734

Rankᵅ98984

28

Kenyaᵇ 37.537.675.059.866.470.9


Embu60.462.587.970.892.771.3


- Embu- Runyenjes- Siakago

Embu 516,212

2,818 183 42.016.1

60,673 19,548

2,694

Rankᵅ 36 30 25 1430

37 88

204

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009) 245

190

95 93

Lagdera Dujis Fafi Ijara


Source: KNBS.

0 0

1522

73

64

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



24

94

121

169 168 170

207

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



GARISSACOUNTY




Rankᵅ133920

13

Kenyaᵇ 66.587.822.7

9.443.5

Garissa75.851.511.697.054.1

Rankᵅ 29 41

8 4

3538

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Garissa 55.8 53.2

14 0.6

65.09.6

Rankᵅ 25 25 39 30 19 34

Kenyaᵇ 300 218

48 70 88 725


Garissa 272 198

12 8

103 594

Rankᵅ343425393745

Kenyaᵇ 37.537.675.059.866.470.9


Garissa25.123.974.649.352.443.9


- Garissa- Masalani- Daadab

Garissa 623,060

44,175 14

49.223.5

116,317 14,012

5,723

Rankᵅ 29

4 41 2416

16 107 160

Kenyaᵇ 821,491 12,368

66 47.229.9

Unavailable



Popu

la�o

n in

000

’s (2

009)

221 209

194 172

103

162

KASIPULKABONDO

RONGO RANGWE NDHIWA GWASI KARACHUONYO


Source: KNBS.

2

22 22

38

18

39

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



36

167

219

297 298 304

367

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



HOMABAYCOUNTY



Rankᵅ4436423226

Kenyaᵇ 66.587.822.7

9.443.5

Homa Bay38.661.4

3.34.8

42.9

Rankᵅ 38 40 35 46 3321

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Homa Bay 50.7 50.4

44 17.1 65.611.8

Rankᵅ 16 45 43 37 37 42

Kenyaᵇ 300 218

48 70 88 725


Homa Bay 317

94 9 2

41 463

Rankᵅ1720453320

9

Kenyaᵇ 37.537.675.059.866.470.9


Homa Bay39.837.050.353.773.383.2


- Homa Bay- Awendo- Mbita Point- Sindo

Homa Bay 958,791

2,586 371 44.114.3

58,936 17,992 11,989 6,362

Rankᵅ 13 32 11 1536

38 92

109 149

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009) 100

43

Isiolo North Isiolo South


Source: KNBS.

0 0 0

141

33

0

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



12

44

57

78 79 79

96

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



ISIOLOCOUNTY




Rankᵅ4

388

401

Kenyaᵇ 66.587.822.7

9.443.5

Isiolo84.655.718.5

0.267.5

Rankᵅ 7

38 38 24 3136

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Isiolo 77.8 49.8

51 4.0

65.79.7

Rankᵅ 3 7

41 5 - 7

Kenyaᵇ 300 218

48 70 88 725


Isiolo 551 270

11 182

- 1,013

Rankᵅ302930

33339

Kenyaᵇ 37.537.675.059.866.470.9


Isiolo28.027.972.276.159.858.4


- Isiolo- Merti- Kinna- Garbatulla

Isiolo 143,294

25,336 6

72.643.5

45,989 6,532 4,8673,774

Rankᵅ 46

8 46 40

7

52 147173185

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

388

162 137

Kajiado North Kajiado Central Kajiado South


Source: KNBS.

17

89

22

78

55

37

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



40

75

98

136 137 137

167

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



KAJIADOCOUNTY



Rankᵅ1731

42335

Kenyaᵇ 66.587.822.7

9.443.5

Kajiado72.374.239.8

5.938.4

Rankᵅ 47 26 10 30 4119

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Kajiado 30.9 24.8

15 4.7

62.012.5

Rankᵅ 37 28 14 14 34 38

Kenyaᵇ 300 218

48 70 88 725


Kajiado 199 191

56 34 54

533

Rankᵅ181831

73644

Kenyaᵇ 37.537.675.059.866.470.9


Kajiado39.739.870.773.055.444.9


- Ngong- Kitengela- Ongata Rongai- Kiserian- Kajiado- Loitokitok- Namanga- Isinya- Sultan Hamud- Bissil

Kajiado 687,312

21,901 31

11.641.4

107,188 58,167 40,178 18,096 14,860 11,064

9,066 8,670 6,636 5,376

Rankᵅ 26

9 38

18

19 39 62 91

104 113 126 128 145 165

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

140 105 103

292 297

205

147

213

159

Butere Ikolomani Khwisero Lugari Lurambi Malava Matungu Mumias Shinyalu


Source: KNBS.

12

77

125139

67

194

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



56

214

330

453 460 460

562

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



KAKAMEGACOUNTY




Rankᵅ 11

2353112

Kenyaᵇ 66.587.822.7

9.443.5

Kakamega 76.1

122.15.64.9

54.1

Rankᵅ 8

37 21 36 1425

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Kakamega 76.8 45.4

26 6.2

70.911.0

Rankᵅ 24 23 31 11 13 22

Kenyaᵇ 300 218

48 70 88 725


Kakamega 277 201

22 49

117 666

Rankᵅ 232532272219

Kenyaᵇ 37.537.675.059.866.470.9


Kakamega 31.332.069.459.672.776.3


- Mumias- Kakamega- Butere- Lumakanda- Malava

Kakamega 1,660,651

3,051 544 53.015.2

99,987 91,768 12,780 10,580

4,070

Rankᵅ 2

27 7

2932

22 25

108 114 182

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

207 203 182

168

Kipkelion Belgut Ainamoi Buret


Source: KNBS.

5

31

15

42

15

56

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



18

80

103

143 144 144

176

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



KERICHOCOUNTY



Rankᵅ 342319

68

Kenyaᵇ 66.587.822.7

9.443.5

Kericho56.191.911.813.858.5

Rankᵅ 26 22 41 20 1923

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Kericho 59.1 21.0

59 3.6

69.811.4

Rankᵅ 39 14 25

6 28 25

Kenyaᵇ 300 218

48 70 88 725


Kericho 190 241

29 119

74 653

Rankᵅ141626321312

Kenyaᵇ 37.537.675.059.866.470.9


Kericho47.345.674.054.879.079.7


- Kericho- Kipkelion- Londiani- Litein- Kabuti

Kericho 758,339

2,479 306 44.228.3

101,808 46,760 43,152

9,103 4,237

Rankᵅ 22 38 16 1612

21 51 55

125 180

Kenyaᵇ 821,491 12,368

66 47.229.9

486

266 254

148 131 124 114 101

Juja Kabete Kiambaa Githunguri Limuru Lari Gatundu South

Gatundu North


Popu

la�o

n in

000

’s (2

009)


Source: KNBS.

39

69

152167

106

72

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



50

220

277

383 385 387

457

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



KIAMBUCOUNTY




Rankᵅ 7533

25

Kenyaᵇ 66.587.822.7

9.443.5

Kiambu 78.199.653.016.044.8

Rankᵅ 22 20 36 31 45

5

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Kiambu 64.8 19.0

46 4.8

58.5 17.3

Rankᵅ 34 12

3 13 36 20

Kenyaᵇ 300 218

48 70 88 725


Kiambu 238 254 100

37 44

674

Rankᵅ666

107

29

Kenyaᵇ 37.537.675.059.866.470.9


Kiambu 68.968.490.069.387.470.1


- Ruiru- Kikuyu- Thika- Karuri- Kiambu- Limuru- Juja- Githunguri- Gatundu

Kiambu 1,623,282

2,543 638 27.260.8

238,858 233,231 136,917 107,716

84,155 79,531 40,446 10,007

5,550

Rankᵅ 4

34 5 43

6 7

12 18 28 33 61

121 164

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

324

253 249

151 133

Bahari Kaloleni Malindi Magarini Ganze


Source: KNBS.

9

77

40

79

45

95

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



314

227

174

36

317 317

386

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



KILIFICOUNTY



Rankᵅ 1235131530

Kenyaᵇ 66.587.822.7

9.443.5

Kilifi 75.965.516.7

7.340.8

Rankᵅ 6

15 25 15 2843

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Kilifi 78.0 16.1

30 3.0

67.57.1

Rankᵅ 20 17 20 31 23 28

Kenyaᵇ 300 218

48 70 88 725


Kilifi 286 221

39 7

85 639

Rankᵅ 444436462614

Kenyaᵇ 37.537.675.059.866.470.9


Kilifi13.613.466.436.068.278.3


- Malindi- Kilifi- Mtwapa- Mariakani- Watamu- Majengo- Mazeras- Magarini- Njabini- Marereni- Kaloleni

Kilifi 1,109,735

12,610 88

71.425.7

118,265 48,826 48,625 24,055 10,030

7,788 6,886 6,051 6,042 5,949 5,573

Rankᵅ 8

13 30 3913

15 48 49 80

120 137 143 154 155 156 162

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009) 191

125 113

100

Mwea Gichugu Kerugoya/kutus Ndia


Source: KNBS.

2330

46

70

49

41

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



25

94115

169 170 170

208

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



KIRINYAGACOUNTY




Rankᵅ32

7141924

Kenyaᵇ 66.587.822.7

9.443.5

Kirinyaga 56.899.216.4

6.645.0

Rankᵅ 37

6 28 21 23

7

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Kirinyaga 51.0 11.2

33 3.8

68.616.1

Rankᵅ 15 21

5 17 27 15

Kenyaᵇ 300 218

48 70 88 725


Kirinyaga 322 211

87 23 77

720

Rankᵅ1114

2430

Kenyaᵇ 37.537.675.059.866.470.9


Kirinyaga 87.487.492.676.170.469.9


- Wanguru- Kerugoya/Kutus- Sagana- Kagumo- Kagio

Kirinyaga 528,054

1,479 357 25.215.8

23,983 19,422 10,551

3,449 3,357

Rankᵅ 35 42 13

331

81 89

115 191 195

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

256

223 201 190

159 142

122 115

Kuria Kitutu Chache

Bomachoge Bobasi South Mugirango

NyaribariChache

Nyaribari Masaba

Bonchari


Source: KNBS.

22

135 136 133

112 117

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



44

196

256

336357 357

430

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



KISIICOUNTY



Rankᵅ 22

8252820

Kenyaᵇ 66.587.822.7

9.443.5

Kisii 67.999.2

7.85.2

48.6

Rankᵅ 3

27 17 29

64.517.3

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Kisii 84.6 30.0

22 4.6

64.517.3

Rankᵅ 36 40 34

9 26 37

Kenyaᵇ 300 218

48 70 88 725


Kisii 236 150

21 53 78

538

Rankᵅ 10

93924

86

Kenyaᵇ 37.537.675.059.866.470.9


Kisii58.055.364.860.786.584.8


- Kisii- Suneka- Keroka- Tabaka- Ogembo- Mogonga

Kisii 1,511,422

2,542 595 60.721.5

81,801 50,818 41,654 15,351

3,475 2,545

Rankᵅ 6

35 6

3420

32 44 58

102 190 207

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

264

146 145 141 140 133

Kisumu Town East

Muhoroni Kisumu Rural

Nyando Kisumu Town West

Nyakach


Source: KNBS.

35

114

74

109

41

160

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



35

143

195

270 272 274

329

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



KISUMUCOUNTY




Rankᵅ 2926

95

36

Kenyaᵇ 66.587.822.7

9.443.5

Kisumu 60.187.418.314.238.0

Rankᵅ 28 31 47 44 4216

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Kisumu 57.0 35.4 216

16.2 62.013.0

Rankᵅ 22

3 11 33

6 9

Kenyaᵇ 300 218

48 70 88 725


Kisumu 283 385

63 5

165 900

Rankᵅ 151533

23018

Kenyaᵇ 37.537.675.059.866.470.9


Kisumu 45.646.168.676.465.877.4


- Kisumu- Awasi- Ahero- Oyugis- Muhoroni- Kendu Bay- Chemelil- Maseno

Kisumu 968,909

2,086 46547.852.4

388,311 93,369 50,730 35,451 34,457 14,747

7,888 5,103

Rankᵅ 12 40

8 21

4

3 24 46 68 70

105 136 170

Kenyaᵇ 821,491 12,368

66

47.229.9



Popu

la�o

n in

000

’s (2

009)

205

180 176 166 159

127

Mwingi North

Mwingi South

Kitui Central

Kitui South Kitui West Mu�to


Source: KNBS.

33 27

44

125

91

141

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


33

190223

307 309 309

376

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10


Source: Rural Electrification Authority. Source: CDF Board Website. Source: Ministry of Medical Services.

KITUICOUNTY



Rankᵅ 3833373832

Kenyaᵇ 66.587.822.7

9.443.5

Kitui50.869.1

4.82.4

39.9

Rankᵅ 25 23 24 32

233

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Kitui 59.8 21.3

29 4.8

74.810.0

Rankᵅ 18 33 18 10

9 16

Kenyaᵇ 300 218

48 70 88 725


Kitui 305 179

42 51

139 717

Rankᵅ323338283117

Kenyaᵇ 37.537.675.059.866.470.9


Kitui27.124.465.058.063.877.8


- Kitui- Mwingi

Kitui 1,012,709

30,496 33

63.513.8

109,568 15,970

Rankᵅ 11

6 37 3539

17 99

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

288

210

152

Msambweni Kinango Matuga


Source: KNBS.

71

47

20

59

39

55

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



157

115

89

18

161 161

196

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



KWALECOUNTY




Rankᵅ 2540212534

Kenyaᵇ 66.587.822.7

9.443.5

Kwale65.848.610.6

5.538.5

Rankᵅ 18 25 32 18 1645

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Kwale 68.1 22.6

40 3.3

70.56.3

Rankᵅ 33 18 35

8 24 30

Kenyaᵇ 300 218

48 70 88 725


Kwale 247 215

20 56 85

624

Rankᵅ3636

2112835

Kenyaᵇ 37.537.675.059.866.470.9


Kwale22.622.092.668.666.564.8


- Ukunda- Kwale- Msambweni- Kinango- Lunga Lunga

Kwale 649,931

8,270 79

74.918.1

62,529 19,880 11,985

7,958 3,670

Rankᵅ 28 17 31 4225

35 86

110 135 187

Kenyaᵇ 821,491 12,368

66 47.229.9


224

175

Laikipia West Laikipia East


Popu

la�o

n in

000

’s (2

009)


Source: KNBS.

40

5258

70

49

39

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


12

50

68

94 95 95

115

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



LAIKIPIACOUNTY



Rankᵅ 2725102122

Kenyaᵇ 66.587.822.7

9.443.5

Laikipia 62.788.617.7

6.345.2

Rankᵅ 10

3 29 13 3413

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Laikipia 75.3

4.3 36

2.8 65.313.9

Rankᵅ 35

8 6

19 20 18

Kenyaᵇ 300 218

48 70 88 725


Laikipia 237 270

86 22 97

711

Rankᵅ 272711

61438

Kenyaᵇ 37.537.675.059.866.470.9


Laikipia 29.829.886.973.378.960.7


- Nanyuki- Nyahururu- Rumuruti- Kinamba

Laikipia 399,227

9,462 42

50.524.8

38,198 36,450 10,064

2,319

Rankᵅ 39 15 35 2614

64 67

118 212

Kenyaᵇ 821,491 12,368

66 47.229.9

83

19

Lamu West Lamu East


Popu

la�o

n in

000

’s (2

009)


Source: KNBS.

0

2436

124

0 0

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


77

56

46

12

78 78

95

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



LAMUCOUNTY




Rankᵅ 130123928

Kenyaᵇ 66.587.822.7

9.443.5

Lamu 89.377.517.0

1.341.8

Rankᵅ 19 32 22

3035

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Lamu 66.6 36.9

27

66.49.7

Rankᵅ 1

11 21

1 - 1

Kenyaᵇ 300 218

48 70 88 725


Lamu 767 256

39 1,037

- 2,099

Rankᵅ283019192136

Kenyaᵇ 37.537.675.059.866.470.9


Lamu 29.627.280.565.273.264.7


- Lamu

Lamu 101,539

6,273 16

32.719.9

18,382

Rankᵅ 47 21 40

722

90

Kenyaᵇ 821,491 12,368

66 47.229.9

Unavailable


244 219

199

163 148

126

Kathiani Kangundo Machakos Town

Mwala Ya�a Masinga


Popu

la�o

n in

000

’s (2

009)


Source: KNBS.

8

57 61

86

38

115

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


36

158

210

291 293 293

356

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



MACHAKOSCOUNTY



Rankᵅ 3015111845

Kenyaᵇ 66.587.822.7

9.443.5

Machakos 58.197.017.0

6.926.9

Rankᵅ 30 14 19 27 2011

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Machakos 54.3 14.6

24 4.2

69.714.6

Rankᵅ 27 20 10 39 17 26

Kenyaᵇ 300 218

48 70 88 725


Machakos 266 213

68 0

105 653

Rankᵅ25241642

621

Kenyaᵇ 37.537.675.059.866.470.9


Machakos30.532.081.347.188.075.9


- Kangundo-Tala- Machakos- Mavoko- Kathiani- Masii

Machakos 1,098,584

6,208 177 59.652.0

218,557 150,041 137,211

3,365 2,501

Rankᵅ 3

22 26 33

5

8 10 11

194 210

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

249 243

185

120

88

Kibwezi Makueni Mbooni Kai� Kilome


Source: KNBS.

4856

115

97

118

78

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


28

142

190

249

203

261

313

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



MAKUENICOUNTY




Rankᵅ 3113343715

Kenyaᵇ 66.587.822.7

9.443.5

Makueni56.997.9

5.93.2

51.1

Rankᵅ 35

9 15 14

510

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Makueni 51.3 11.9

18 2.9

72.714.7

Rankᵅ 19 26 23

- 22 32

Kenyaᵇ 300 218

48 70 88 725


Makueni 295 194

32 -

89 609

Rankᵅ 40351545

515

Kenyaᵇ 37.537.675.059.866.470.9


Makueni 18.222.185.041.491.478.2


- Wote- Makindu- Emali- Kibwezi- Mtito Andei- Machinery

Makueni 884,527

8,009 110 64.111.8

9,875 8,621 7,024 5,871 4,520 2,505

Rankᵅ 17 18 29 3642

122 129 142 158 176 209

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

417

320 289

Mandera Central Mandera West Mandera East


Source: KNBS.

0

3219

186

2134

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



18

74

95

136 134 134

163

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



MANDERACOUNTY



Rankᵅ 3642454443

Kenyaᵇ 66.587.822.7

9.443.5

Mandera51.933.9

2.50.0

28.6

Rankᵅ 31 17

6 1

3237

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Mandera 54.3 17.9

9 0.2

65.79.6

Rankᵅ 45 46 47 34 40 47

Kenyaᵇ 300 218

48 70 88 725


Mandera 131

82 2 2

33 250

Rankᵅ 454546

94746

Kenyaᵇ 37.537.675.059.866.470.9


Mandera8.2

11.347.069.7

9.942.0


- Mandera- Rhamu- Elwak- Takaba

Mandera 1,025,756

25,991 40

87.818.1

87,692 26,367 24,368 21,474

Rankᵅ 10

7 36 4626

26 77 79 85

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

104

75 66

47

Moyale North Horr Laisamis Saku


Source: KNBS.

0

32

5

141

51

0

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


24

87 82

146157 157

177

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



MARSABITCOUNTY




Rankᵅ 8

41264237

Kenyaᵇ 66.587.822.7

9.443.5

Marsabit 77.635.4

7.50.0

35.4

Rankᵅ 20 24 20

5 1741

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Marsabit 66.3 21.4

25 1.2

70.48.9

Rankᵅ 4

31 33

- - 12

Kenyaᵇ 300 218

48 70 88 725


Marsabit 541 185

21 - -

747

Rankᵅ424120134442

Kenyaᵇ 37.537.675.059.866.470.9


Marsabit17.917.480.166.926.247.0


- Moyale- Marsabit- Sololo- Loiyangalani- Laisamis

Marsabit 291,166

70,961 4

83.222.0

37,387 14,907

5,104 4,208 2,643

Rankᵅ 42

1 47 4418

65 103 169 181 206

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

259 253 230

180 157

142 136

North Imen�

Igembe Ntonyiri South Imen�

Tigania East

Central Imen�

Tigania West


Source: KNBS.

60

8799

230

124142

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


42

186

244

338

396

340

397

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



MERUCOUNTY



Rankᵅ 2614182644

Kenyaᵇ 66.587.822.7

9.443.5

Meru 65.097.613.1

5.426.9

Rankᵅ 40 45 39 22

818

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Meru 46.9 79.3

52 3.8

72.312.6

Rankᵅ 32 16 16 29 18 27

Kenyaᵇ 300 218

48 70 88 725


Meru 251 228

54 8

105 645

Rankᵅ 45

37413432

Kenyaᵇ 37.537.675.059.866.470.9


Meru 69.569.465.049.059.768.7


- Meru- Chuka- Chogoria- Maua- Timau- Nkubu- Kinna- Lare- Mitunguu

Meru 1,356,301

6,936 196 28.312.0

53,627 43,470 28,415 17,226

8,333 7,551 4,867 4,614 3,402

Rankᵅ 7

20 23

541

41 54 75 96

133 138 173 175 193

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009) 191

145

116 111

Migori Nya�ke Uriri Mbita


Source: KNBS.

36

7568

96 92

120

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


29

132

171

237 239 239

290

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



MIGORICOUNTY




Rankᵅ 3934363310

Kenyaᵇ 66.587.822.7

9.443.5

Migori 47.866.8

5.34.7

55.0

Rankᵅ 5

44 44 43 2432

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Migori 78.0 72.8

63 12.0 68.010.3

Rankᵅ 7 4

19 36

1 5

Kenyaᵇ 300 218

48 70 88 725


Migori 424 364

39 2

214 1,044

Rankᵅ222244231713

Kenyaᵇ 37.537.675.059.866.470.9


Migori 32.535.151.661.575.279.6


- Rongo- Migori- Kehancha- Sori- Muhuru Bay

Migori 563,033

1,969 286 46.734.0

82,066 53,100 30,109

8,964 6,254

Rankᵅ 32 41 18 1910

31 42 73

127 151

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

406

282

176

75

Kisauni Changamwe Likoni Mvita


Source: KNBS.

0 0

23 23

9

14

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



152

111

85

24

153 153

186

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



MOMBASACOUNTY



Rankᵅ1418

21

41

Kenyaᵇ 66.587.822.7

9.443.5

Mombasa75.096.659.028.632.0

Rankᵅ 13 29 42 38 46

9

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Mombasa 72.5 31.5

59 6.6

56.915.3

Rankᵅ 44

1 1 3

42 2

Kenyaᵇ 300 218

48 70 88 725


Mombasa 163 572 280 487

15 1,517

Rankᵅ53519

41

Kenyaᵇ 37.537.675.059.866.470.9


Mombasa68.973.290.384.385.853.6


- Mombasa

Mombasa 939,370

219 4,292

37.6100.0

938,131

Rankᵅ 15 47

2 11

2

2

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009) 181

164 157 152

124

88 77

Kiharu Gatanga Kandara Maragwa Kigumo Mathioya Kangema


Source: KNBS.

24

105 103

135

112

78

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



41

144

182

251 254 254

310

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



MURANG’ACOUNTY




Rankᵅ37

117

823

Kenyaᵇ 66.587.822.7

9.443.5

Murang’a51.0

237.914.0

9.745.0

Rankᵅ 41

5 16 39 21

3

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Murang’a 46.6

8.8 20

7.2 69.517.7

Rankᵅ 26 34 15 27 25 33

Kenyaᵇ 300 218

48 70 88 725


Murang’a 270 178

55 10 82

596

Rankᵅ111022211120

Kenyaᵇ 37.537.675.059.866.470.9


Murang’a54.754.777.562.982.976.2


- Makuyu- Murang’a- Maragua- Kabati- Kangari- Kiria-ini

Murang’a 942,581

2,559 368 29.916.3

44,007 28,775 26,374

3,128 2,810 2,457

Rankᵅ 14 33 12

629

53 74 76

198 202 211

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009) 926

526

355 330 275 262 247 219

Embakasi Kasarani Lang'ata Dagore� Starehe Kamukunji Westlands Makadara


Source: KNBS.

62

39

80

0 0

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



49

148

230

320 321 321

378

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



NAIROBICOUNTY



Rankᵅ5

101

Kenyaᵇ 66.587.822.7

9.443.5

Nairobi83.198.772.4

Rankᵅ 2

10 37 40 47

2

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Nairobi 86.8 12.4

47 7.5

50.318.1

Rankᵅ 47

2 2 2 - 3

Kenyaᵇ 300 218

48 70 88 725


Nairobi 102 544 265 565

- 1,477

Rankᵅ343

152

31

Kenyaᵇ 37.537.675.059.866.470.9


Nairobi78.971.791.065.897.769.0


- Nairobi

Nairobi 3,138,369

695 4,515

22.5100.0

3,133,518

Rankᵅ 1

45 1 21

1

Kenyaᵇ 821,491 12,368

66 47.229.9

UnavailableUnavailable


Popu

la�o

n in

000

’s (2

009)

376

309 303

239 212

164

Naivasha Nakuru Town

Molo Kuresoi Subukia Rongai


Source: KNBS.

20

55

76

117

67

101

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


36

153

203

281 282 283

346

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



NAKURUCOUNTY




Rankᵅ2416

51242

Kenyaᵇ 66.587.822.7

9.443.5

Nakuru66.497.034.0

8.331.1

Rankᵅ 12 16 43 23 4014

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Nakuru 72.5 16.3

62 3.9

63.413.4

Rankᵅ 42

6 4 7

33 19

Kenyaᵇ 300 218

48 70 88 725


Nakuru 177 282

97 71 63

689

Rankᵅ121341401022

Kenyaᵇ 37.537.675.059.866.470.9


Nakuru51.450.564.349.383.274.7


- Nakuru- Naivasha- Molo- Gilgil- Njoro- Mai Mahiu- Subukia- Dundori- Salgaa- Mau Narok- Bahati- Rongai- Olenguruone

Nakuru 1,603,325

7,495 214 40.145.8

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

Rankᵅ 5

19 21 12

6

4 9

60 69 82

112 139 166 174 178 184 213 214

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

231

200

164 158

Emgwen Tinderet Mosop Aldai


Source: KNBS.

0

4437

91

31

72

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


24

106

136

189 191 191

231

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



NANDICOUNTY



Rankᵅ3327291314

Kenyaᵇ 66.587.822.7

9.443.5

Nandi56.284.4

6.47.9

51.5

Rankᵅ 24 13 45 11 2929

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Nandi 62.4 14.3

70 2.7

67.310.7

Rankᵅ 31 35 36 23 21 36

Kenyaᵇ 300 218

48 70 88 725


Nandi 253 175

20 12 96

556

Rankᵅ3114181219

3

Kenyaᵇ 37.537.675.059.866.470.9


Nandi27.448.680.868.374.588.3


- Kapsabet- Nandi Hills

Nandi 752,965

2,884 261 47.413.6

86,803 10,120

Rankᵅ 23 29 20 2040

27 116

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

318

275 259

Narok South Kilgoris Narok North


Source: KNBS.

010

77

109

55

33

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


18

86

112

155 155

106

190

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



NAROKCOUNTY




Rankᵅ4732333429

Kenyaᵇ 66.587.822.7

9.443.5

Narok33.670.9

5.94.6

41.2

Rankᵅ 14 21 14 26

342

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Narok 71.6 19.9

18 4.0

73.57.2

Rankᵅ 46 39 40

- 39 46

Kenyaᵇ 300 218

48 70 88 725


Narok 125 152

11 -

39 328

Rankᵅ384042174225

Kenyaᵇ 37.537.675.059.866.470.9


Narok19.818.962.265.441.473.1


- Narok- Kilgoris- Nairagie Enkare- Lolgorian

Narok 850,920

17,933 47

33.86.9

38,653 9,865 5,907 2,689

Rankᵅ 19 11 34

946

63 123 157 205

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

239

199

160

North Mugirango Kitutu Masaba West Mugirango


Source: KNBS.

0

149

68

127

81

99

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


18

133

114129

159 159

183

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



NYAMIRACOUNTY



Rankᵅ20

63117

2

Kenyaᵇ 66.587.822.7

9.443.5

Nyamira68.699.4

6.16.9

64.9

Rankᵅ 39

7 11 35 38

4

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Nyamira 49.8 11.3

16 5.9

64.017.7

Rankᵅ 29 32 37 38

5 29

Kenyaᵇ 300 218

48 70 88 725


Nyamira 266 183

14 1

165 628

Rankᵅ8

118

181

11

Kenyaᵇ 37.537.675.059.866.470.9


Nyamira61.154.688.165.398.881.4


- Nyamira- Nyansiongo

Nyamira 598,252

899 665 48.114.0

41,668 5,637

Rankᵅ 30 44

4 2238

57 161

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

216

192

95 93

Ol Kalou Kinangop Kipipiri Ndaragwa


Source: KNBS.

3

96

59

153

45

63

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


24

86

121

168 169 169

200

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



NYANDARUACOUNTY




Rankᵅ21

3223638

Kenyaᵇ 66.587.822.7

9.443.5

Nyandarua 68.099.710.5

3.535.2

Rankᵅ 16 11 13 17 2612

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Nyandarua 70.3 13.0

17 3.2

67.914.2

Rankᵅ 21 24

9 24 16 21

Kenyaᵇ 300 218

48 70 88 725


Nyandarua 283 199

70 11

105 668

Rankᵅ777

291634

Kenyaᵇ 37.537.675.059.866.470.9


Nyandarua66.466.488.357.975.465.3


- Ol Kalou- Mairo-inya- Engineer

Nyandarua 596,268

3,245 184 46.318.5

66,015 9,858 2,033

Rankᵅ 31 26 24 1723

34 124 215

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

176

149

119

87 84 78

Kieni Mathira Nyeri Town Othaya Mukurwe -Ini Tetu


Source: KNBS.

54 59

129

154

100

73

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


34

128

173

240 242 242

290

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



NYERICOUNTY



Rankᵅ19

47

1131

Kenyaᵇ 66.587.822.7

9.443.5

Nyeri69.399.626.3

8.940.7

Rankᵅ 42

1 26 28 44

1

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Nyeri 46.3

3.2 32

4.4 61.419.8

Rankᵅ 12 13

7 15 15 10

Kenyaᵇ 300 218

48 70 88 725


Nyeri 349 253

84 32

106 824

Rankᵅ22

1443

327

Kenyaᵇ 37.537.675.059.866.470.9


Nyeri84.084.085.144.892.972.8


- Nyeri- Karatina- Naro Moru- Othaya- Mweiga- Endarasha

Nyeri 693,558

3,337 208 32.724.5

119,353 8,499 5,805 5,137 3,583 3,049

Rankᵅ 25 25 22

815

13 131 159 168 188 199

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

59

165

Samburu East Samburu West


Source: KNBS.

0 4 0

22

170

0

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


12

45

59

82 82 82

99

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



SAMBURUCOUNTY




Rankᵅ234530

4

Kenyaᵇ 66.587.822.7

9.443.5

Samburu67.826.5

6.2

60.5

Rankᵅ 11 19 33

8 3944

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Samburu 73.1 18.9

42 1.5

63.66.5

Rankᵅ 9

15 30 12

- 23

Kenyaᵇ 300 218

48 70 88 725


Samburu 367 233

23 43

- 665

Rankᵅ393913304337

Kenyaᵇ 37.537.675.059.866.470.9


Samburu18.419.085.657.828.963.3


- Maralal- Baragoi- Archers Post- Wamba

Samburu 223,947

21,022 11

73.017.3

15,860 7,992 6,275 6,226

Rankᵅ 45 10 44 4127

100 134 150 152

Kenyaᵇ 821,491 12,368

66 47.229.9

Unavailable



Popu

la�o

n in

000

’s (2

009)

202 187

161 158

135

Ugenya Alego Gem Bondo Rarieda


Source: KNBS.

37

100

60

78

49

93

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



24

145

209

262 266 261

318

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



SIAYACOUNTY



Rankᵅ4028392017

Kenyaᵇ 66.587.822.7

9.443.5

Siaya46.782.7

4.36.4

50.5

Rankᵅ 4

42 34 45 1828

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Siaya 81.6 59.4

42 16.8 70.310.8

Rankᵅ 17 22 24

- 14 24

Kenyaᵇ 300 218

48 70 88 725


Siaya 309 206

30 -

111 656

Rankᵅ131240312926

Kenyaᵇ 37.537.675.059.866.470.9


Siaya 47.452.064.856.266.272.9


- Bondo- Siaya- Usenge- Ugunja- Yala- Ukwala- Ndori

Siaya 842,304

2,530 333 35.310.8

33,468 22,586 10,098

7,242 6,412 5,187 2,522

Rankᵅ 20 36 14 1044

72 83

117 140 148 167 208

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

89

72 68

56

Voi Mwatate Taveta Wundanyi


Source: KNBS.

0

1622

66

92

61

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


166

117

93

24

167 167

201

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



TAITATAVETACOUNTY




Rankᵅ1821152919

Kenyaᵇ 66.587.822.7

9.443.5

Taita Taveta70.094.315.0

5.149.6

Rankᵅ 36 12

7 37 2220

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Taita Taveta 51.2 13.7

12 6.6

68.712.1

Rankᵅ 2

10 13 28

2 4

Kenyaᵇ 300 218

48 70 88 725


Taita Taveta 586 262

60 9

214 1,131

Rankᵅ161723384123

Kenyaᵇ 37.537.675.059.866.470.9


Taita Taveta40.543.276.649.645.374.7


- Wundanyi- Taveta- Voi- Mwatate

Taita Taveta 284,657

17,084 17

54.822.6

62,404 19,865 17,152

5,573

Rankᵅ 43 12 39 3017

36 87 97

163

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

97

83

61

Garsen Bura Galole


Source: KNBS.

16

121

0

170

14

33

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


43

62

44

12

84 84

102

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



TANARIVERCOUNTY



Rankᵅ354446

727

Kenyaᵇ 66.587.822.7

9.443.5

Tana River55.529.3

2.511.142.1

Rankᵅ 23 35 23

6 2547

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Tana River 62.7 39.5

29 1.3

67.95.5

Rankᵅ 11 27 44 18 10 17

Kenyaᵇ 300 218

48 70 88 725


Tana River 351 191

8 23

139 712

Rankᵅ353812373943

Kenyaᵇ 37.537.675.059.866.470.9


Tana River22.620.485.749.749.846.9


- Hola- Madogo- Garsen

Tana River 240,075

38,437 6

76.915.0

17,337 15,824

2,904

Rankᵅ 44

5 45 4333

95 101 200

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

235

130

Nithi Tharaka


Source: KNBS.

0

78

0

51

6

15

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


12

56

73

102

47

103

125

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



THARAKA-NITHICOUNTY




Rankᵅ4324434346

Kenyaᵇ 66.587.822.7

9.443.5

Tharaka-N.40.490.6

3.00.0

24.9

Rankᵅ 33 34 18 12

131

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Tharaka-N. 53.3 39.5

22 2.7

75.110.4

Rankᵅ 23 47 45 25 38 44

Kenyaᵇ 300 218

48 70 88 725


Tharaka-N. 281

58 8

11 41

399

Rankᵅ2928474423

8

Kenyaᵇ 37.537.675.059.866.470.9


Tharaka-N.29.428.944.943.971.484.8


Tharaka-N. 365,330

2,639 138 48.7

6.6

Rankᵅ 41 31 27 2347

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

387

236

195

Sabo� Kwanza Cheranganyi


Source: KNBS.

43

17

39

53

30

56

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


19

86

112

154 153 153

182

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



TRANSNZOIACOUNTY



Rankᵅ9

1924

918

Kenyaᵇ 66.587.822.7

9.443.5

TransNzoia76.796.0

8.99.3

50.0

Rankᵅ 43 30

1 33 1527

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


TransNzoia 35.7 33.6

5 5.4

70.910.9

Rankᵅ 40 30 22

- 30 40

Kenyaᵇ 300 218

48 70 88 725


TransNzoia 187 187

34 -

68 476

Rankᵅ3737

43538

1

Kenyaᵇ 37.537.675.059.866.470.9


TransNzoia21.320.790.652.651.692.0


- Kitale- Kiminini

TransNzoia 818,757

2,496 328 50.220.4

106,187 11,659

Rankᵅ 21 37 15 2521

20 111

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

374

255 226

Turkana North Turkana Central Turkana South


Source: KNBS.

0 0 0

109

21

43

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09



16

76

105

145 146 146

179

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



TURKANACOUNTY




Rankᵅ15464710

6

Kenyaᵇ 66.587.822.7

9.443.5

Turkana74.317.8

2.49.3

59.5

Rankᵅ 46 28

5 42 1339

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Turkana 30.9 31.2

9 8.9

71.09.5

Rankᵅ 43 42 42 20 35 45

Kenyaᵇ 300 218

48 70 88 725


Turkana 171 137

10 18 50

385

Rankᵅ464635164647

Kenyaᵇ 37.537.675.059.866.470.9


Turkana6.96.9

66.765.818.139.0


- Lodwar- Kakuma- Lokichogio

TTurkana 855,399

68,680 13

94.314.2

48,316 36,875 17,695

Rankᵅ 18

2 42 4737

50 66 94

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

392

261 241

Eldoret North Eldoret South Eldoret East


Source: KNBS.

3

16

25

41

19

59

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


18

65

114

158 159 159

194

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



UASINGISHUCOUNTY



Rankᵅ 3

126

1416

Kenyaᵇ 66.587.822.7

9.443.5

UasinGishu 88.998.027.9

7.650.6

Rankᵅ 9

18 46 19 4315

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


UasinGishu 76.2 18.3 124 3.4

61.613.1

Rankᵅ 41

9 12

- 31 35

Kenyaᵇ 300 218

48 70 88 725


UasinGishu 177 267

63 -

66 573

Rankᵅ262629

51210

Kenyaᵇ 37.537.675.059.866.470.9


UasinGishu30.130.572.774.981.583.0


- Eldoret- Moi’s Bridge- Matunda- Burnt Forest- Jua Kali- Turbo

UasinGishu 894,179

3,345 267 51.338.6

289,380 14,596 10,031

4,925 3,427 2,831

Rankᵅ 16 24 19 27

9

5 106 119 172 192 201

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

185

148

130

92

Emuhaya Hamisi Saba�a Vihiga


Source: KNBS.

4

27

3630

22

75

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


23

104

142

202192 193

235

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



VIHIGACOUNTY




Rankᵅ10

928

25

Kenyaᵇ 66.587.822.7

9.443.5

Vihiga76.499.1

7.016.660.4

Rankᵅ 21 47 30 34 1217

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Vihiga 65.0

105.7 37

5.5 71.212.7

Rankᵅ 13 19 26

4 12 8

Kenyaᵇ 300 218

48 70 88 725


Vihiga 348 214

27 236 135 960

Rankᵅ333127222524

Kenyaᵇ 37.537.675.059.866.470.9


Vihiga26.125.873.262.270.274.3


- Vihiga- Luanda

Vihiga 554,622

531 1,045

41.831.4

118,696 49,346

Rankᵅ 34 46

3 1311

14 47

Kenyaᵇ 821,491 12,368

66 47.229.9



Popu

la�o

n in

000

’s (2

009)

224

172

136 130

Wajir East Wajir West Wajir North Wajir South


Source: KNBS.

0 013

157

57

16

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


24

99120

175 176 176

216

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



WAJIRCOUNTY



Rankᵅ 1647414139

Kenyaᵇ 66.587.822.7

9.443.5

Wajir 73.513.3

3.40.2

33.9

Rankᵅ 17 43

3 3

3740

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


Wajir 68.8 64.3

8 0.5

64.49.0

Rankᵅ 28 43 46 35 41 43

Kenyaᵇ 300 218

48 70 88 725


Wajir 266 125

3 2

25 420

Rankᵅ 474728474540

Kenyaᵇ 37.537.675.059.866.470.9


Wajir 5.15.4

72.721.726.255.5


- Wajir- Habaswein

Wajir 661,941

56,686 12

84.014.6

82,800 8,500

Rankᵅ 27

3 43 4534

30 130

Kenyaᵇ 821,491 12,368

66 47.229.9


Popu

la�o

n in

000

’s (2

009)

181

176

156

Kapenguria Sigor Kacheliba


Source: KNBS.

0

24

53

137

27 33

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09


16

72

96

133 134 134145

2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10



WESTPOKOTCOUNTY




Rankᵅ 45434416

9

Kenyaᵇ 66.587.822.7

9.443.5

WestPokot 37.232.8

2.67.1

58.1

Rankᵅ 32 39 40

2 9

46

Kenyaᵇ 64.0 27.7 39.0 5.9

66.612.7


WestPokot 54.0 49.9

57 0.2

72.06.2

Rankᵅ 30 41 38

- 32 39

Kenyaᵇ 300 218

48 70 88 725


WestPokot 262 142

13 -

64 480

Rankᵅ434243344033

Kenyaᵇ 37.537.675.059.866.470.9


WestPokot16.916.956.252.746.967.6


- Kapenguria

WestPokot 512,690

9,169 56

69.88.3

34,046

Rankᵅ 37 16 32 3845

71

Kenyaᵇ 821,491 12,368

66 47.229.9

CRAFUNCTIONSASPERTHECONSTITUTION

1. Recommend the basis of equitable sharing of revenue raised na�onally between Na�onal and County Governments (Art. 216) (1) (b)

2. Recommend the basis of equitable sharing of revenue raised by Na�onal Government among County Governments (Art. 216)(1)(b)

3. Recommend on ma�ers concerning the financing of both County and Na�onal Governments (Art. 216)(2)

4. Recommend on ma�ers concerning financial management of both the County and Na�onal Governments (Art. 216)(2)

5. Define and enhance revenue sources of Na�onal Government (Art. 216)(3)(b)

6. Define and enhance revenue sources of County Governments (Art. 216 (3)(b)

7. Encourage fiscal responsibility by Na�onal Government (Art. 216 (3)(c)

8. Encourage fiscal responsibility by County Governments (Art. 216 (3)(c)

9. Be consulted and recommenda�ons be considered before Parliament passes any Bill appropria�ng money out of the Equaliza�on 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 financial ma�er concerning County Governments (Art. 205)

12. Publish and review the policy that sets out criteria for iden�fying marginal areas in actualiza�on of the Equaliza�on Fund (Art. 206)

13. A CRA commissioner to par�cipate, but shall not vote, in the mee�ngs of the Commission for Implementa�on of Cons�tu�on (Schedule 6 part 5 (5)

14. CRA shall be consulted and their recommenda�ons considered by Parliament for all laws being enacted rela�ng to Devolved Government (schedule 6 part 14 (1)

Note:Recommenda�ons are submi�ed to Senate, the Na�onal Assembly, the Na�onal Execu�ve, County Assembly and County Execu�ve (Art. 216)

CRA FUNCTIONS AS PER THE CONSTITUTION

www.worldbank.org Hill Park, Upper Hill Road P. O. Box 30577 - 00100 Nairobi, Kenya Telephone: +254 - 20 - 3226000 Fax: +254 - 20 - 3226382

www.knbs.or.ke Treasury Building, Harambee Avenue P. O. Box 30005 - 00200 Nairobi, Kenya Telephone: +254 - 20 - 2252299 Fax: +254 - 20 - 218475

www.ausaid.gov.au Australian High Commission P. O. Box 39341 - 00623 Nairobi, Kenya Telephone: +254 - 20 - 4277143 Fax: +254 - 20 - 4277144

THE WORLD BANK

Fiscal Decentralization Knowledge Program (FDKP)

Design by Robert Waiharo

P. O. BOX 1310 – 00200 NAIROBITEL: 254 -20 -3261224

E-MAIL: [email protected]: www.crakenya.org

Kenya_County_Fact_Sheets_Dec2011.pdf

Documents

Transcript of Kenya_County_Fact_Sheets_Dec2011.pdf