Kenya's Population Census 2010

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Kenya's Population Census 2010: Ethnic Police Go away!

Obe! Abakenya twaikire 38.6 millioni.  Mache ki aya tokonywa! Abakenya bande nigo bagoteba inga tiyatakeire ebisaku biorokigwe ase e census eye ekiagera egento buna ekio nigo gekorenta obogesaku. Nonya nabo igo, ebisaku nabo biorokigwa maiso marore. Twamentire by 10 milloni since 1999 ekero twarenge 28.7 millioni people.  Nigo tokomenta by 1 millioni Kenyans per year. Igo nabo ekororekana inga egasi negendererete.

Egasi negendererete

Kobwatekana na abakungu na abasacha, Abakenya nigo tore:

Abasacha: 19,192,458
Abakungu: 19,417,639

Kobwatekana ne chinamba echio igoro, kera Omokenya  omosacha goika anyore omokungu oyomo. Ase boigo, kera Omokenya omokungu goika anyore omosacha oyomo. Mokenya onde bwensi okoira abakungu gose abasacha babere na gochia igoro nigo agosareria Abakenya bande esabu. Eyio ne endamwamu!

1. Kikuyu 6,622,576
2. Luhya 5,338,666
3. Kalenjin 4,967,328
4. Luo 4,044,440
5. Kamba 3,893,157
6. Kenyan Somali (nullified awaiting    recount) 2,385,572
7. Kisii 2,205,669
8. Mijikenda 1,960,574
9. Meru 1,658,108
10. Turkana (also to be recounted)     988,592
11. Maasai 841,622
12. Teso 338,833
13. Embu 324,092
14. Taita 273,519
15. Kuria 560,401
16. Samburu 237,179
17. Tharaka 175,905
18. Mbeere 168,155
19. Borana 161,399
20. Suba 139,271
21. Swahili 110,614
22. Gabra 89,519
23. Orma 66,275
24. Rendille 60,437

The Full 2010 Census Report for Kenya follows:

1

2009 POPULATION & HOUSING
CENSUS RESULTS
Hon. Wycliffe Ambetsa
Oparanya
Minister of State for Planning, National
Development and Vision 2030
31st August, 2010
1
2009 POPULATION & HOUSING
CENSUS RESULTS
Hon. Wycliffe Ambetsa
Oparanya
Minister of State for Planning, National
Development and Vision 2030
31st August, 2010

3
Outline
.Definition
.Objectives
.Methodology
.Challenges
.Implications
.Results
3
Outline
.Definition
.Objectives
.Methodology
.Challenges
.Implications
.Results

4
Census definition:
.A population census is the total process of
collecting, compiling, evaluating, analyzing
and publishing or otherwise disseminating
demographic, economic, and social data
pertaining, at a specified time, to all persons
in a country or in a well delimited part of a
country.
4
Census definition:
.A population census is the total process of
collecting, compiling, evaluating, analyzing
and publishing or otherwise disseminating
demographic, economic, and social data
pertaining, at a specified time, to all persons
in a country or in a well delimited part of a
country.

Overall Census Objective
.Collect demographic and socio-economic
data required for decision making
5
Overall Census Objective
.Collect demographic and socio-economic
data required for decision making
5

6
Specific Objectives
Ascertain:
.Size, composition and spatial distribution
.Levels of fertility, mortality and migration status
.Rate and pattern of urbanization
.Levels of education attained by the population
.Size and deployment of the labour force
.Size, types and distribution of persons with
disabilities; and
.Housing conditions and availability of
household amenities
6
Specific Objectives
Ascertain:
.Size, composition and spatial distribution
.Levels of fertility, mortality and migration status
.Rate and pattern of urbanization
.Levels of education attained by the population
.Size and deployment of the labour force
.Size, types and distribution of persons with
disabilities; and
.Housing conditions and availability of
household amenities

CENSUS-TAKING IN KENYA
.Evolution from head-counts to complex inquiries:
– 1897-2.5m
– 1948-5.4m
– 1962-8.6m
– 1969-10.9m
– 1979-15.3m
– 1989-21.4m
– 1999-28.7m
– 2009-To be revealed shortly
7
CENSUS-TAKING IN KENYA
.Evolution from head-counts to complex inquiries:
– 1897-2.5m
– 1948-5.4m
– 1962-8.6m
– 1969-10.9m
– 1979-15.3m
– 1989-21.4m
– 1999-28.7m
– 2009-To be revealed shortly
7

8
Overview of Enumeration Methodology
.Complete count of the population present on the
census reference night (24th/25th August 2009)
.De facto method of counting adopted (people counted
according to where the spent the reference night)
.Canvasser method used for data collection
(questionnaire administered by pre-trained personnel)
.Additional question to capture information on de jure
population (usual residents identified)
.Unit of enumeration is the individual
.Frameworks of identification: household, institutions,
persons on transit, and out-door sleepers)
8
Overview of Enumeration Methodology
.Complete count of the population present on the
census reference night (24th/25th August 2009)
.De facto method of counting adopted (people counted
according to where the spent the reference night)
.Canvasser method used for data collection
(questionnaire administered by pre-trained personnel)
.Additional question to capture information on de jure
population (usual residents identified)
.Unit of enumeration is the individual
.Frameworks of identification: household, institutions,
persons on transit, and out-door sleepers)

9
Methodology Cont’d
.Implementation done in three phases:
– Pre-enumeration phase (Preparatory activities)
– Enumeration phase
Data Collection
Reference date-24th/25th August, 2009
– Post Enumeration phase (Data capture, analysis,
publication)
9
Methodology Cont’d
.Implementation done in three phases:
– Pre-enumeration phase (Preparatory activities)
– Enumeration phase
Data Collection
Reference date-24th/25th August, 2009
– Post Enumeration phase (Data capture, analysis,
publication)

10
Methodology Cont’d
.Questionnaires: Main questionnaire and four (4)
short questionnaires used (hotels/prisons/hospitals;
travelers; vagrants; emigrants)
.Provision made to provide data for administrative
and political units (districts, constituencies, counties)
.Data was captured via scanning technology.
Technical Assistance provided by the US Census
Bureau.
10
Methodology Cont’d
.Questionnaires: Main questionnaire and four (4)
short questionnaires used (hotels/prisons/hospitals;
travelers; vagrants; emigrants)
.Provision made to provide data for administrative
and political units (districts, constituencies, counties)
.Data was captured via scanning technology.
Technical Assistance provided by the US Census
Bureau.

11
.Overview
– International standards observed: 2009 Census
guided by UN Principles & Recommendations for
2010 Round of Population and Housing Censuses
– Legal Framework provided through a gazette notice
in August, 2008
– Cartographic mapping for the whole country created
nearly 100,000 Enumeration areas
– Pilot Census conducted successfully in August 2008
PREPARATIONS FOR 2009 CENSUS
11
.Overview
– International standards observed: 2009 Census
guided by UN Principles & Recommendations for
2010 Round of Population and Housing Censuses
– Legal Framework provided through a gazette notice
in August, 2008
– Cartographic mapping for the whole country created
nearly 100,000 Enumeration areas
– Pilot Census conducted successfully in August 2008
PREPARATIONS FOR 2009 CENSUS

RESOURCES FOR 2009 CENSUS
.Budget: Ksh. 8.4 billion; Government funded 95%
.More than half (Ksh.5.0 billion) paid to census personnel
.Field personnel
– Senior Supervisors: 5,788
– Supervisors: 22,323
– Enumerators: 111,696
– Village elders: 100,000
.Questionnaires: 12 million
12
RESOURCES FOR 2009 CENSUS
.Budget: Ksh. 8.4 billion; Government funded 95%
.More than half (Ksh.5.0 billion) paid to census personnel
.Field personnel
– Senior Supervisors: 5,788
– Supervisors: 22,323
– Enumerators: 111,696
– Village elders: 100,000
.Questionnaires: 12 million
12

CHALLENGES
.Competing national interests such as famine,
drought, resettlement of IDPs
.Insecurity concerns
.Post-election violence disrupted mapping
activities;
.Complex logistics for enumeration of Pastoralists
communities required more resources
.Creation of new districts raised the census budget
.Cash-flow problems
13
CHALLENGES
.Competing national interests such as famine,
drought, resettlement of IDPs
.Insecurity concerns
.Post-election violence disrupted mapping
activities;
.Complex logistics for enumeration of Pastoralists
communities required more resources
.Creation of new districts raised the census budget
.Cash-flow problems
13

PRELIMINARY REPORTS
.Vol. IA: Population Distribution by Administrative Units
(sub-location, location, division, district, rural/urban)
.Vol. IB: Population Distribution by Political units
(Constituencies, Counties)
.Vol. IC: Population Distribution by Age and Sex
.Vol. II: Population & Household Distribution by Socio-
Economic Characteristics(Education, labour force,
disability, livestock types, household assets, housing
condition, and amenities, ethnic affiliation, religion)
PRELIMINARY REPORTS
.Vol. IA: Population Distribution by Administrative Units
(sub-location, location, division, district, rural/urban)
.Vol. IB: Population Distribution by Political units
(Constituencies, Counties)
.Vol. IC: Population Distribution by Age and Sex
.Vol. II: Population & Household Distribution by Socio-
Economic Characteristics(Education, labour force,
disability, livestock types, household assets, housing
condition, and amenities, ethnic affiliation, religion)

CENSUS RESULTS-MIGINGO ISLAND
.MALE62
.FEMALE69
.TOTAL131
15
CENSUS RESULTS-MIGINGO ISLAND
.MALE62
.FEMALE69
.TOTAL131
15

POPULATION NUMBERS BY PROVINCE
PROVINCE POPULATION HH
NAIROBI 3,138,369 985,016
CENTRAL 4,383,743 1,224,742
COAST 3,325,307 731,199
EASTERN 5,668,123 1,284,838
N/EASTERN 2,310,757 312,661
NYANZA 5,442,711 1,188,287
R/VALLEY 10,006,805 2,137,136
WESTERN 4,334,282 904,075
16
POPULATION NUMBERS BY PROVINCE
PROVINCE POPULATION HH
NAIROBI 3,138,369 985,016
CENTRAL 4,383,743 1,224,742
COAST 3,325,307 731,199
EASTERN 5,668,123 1,284,838
N/EASTERN 2,310,757 312,661
NYANZA 5,442,711 1,188,287
R/VALLEY 10,006,805 2,137,136
WESTERN 4,334,282 904,075
16

POPULATION DISTRIBUTION -10
MOST POPULATED DISTRICTS
DISTRICT MALE FEMALE TOTAL
NAIROBI EAST 582,554 561,862 1,144,416
NAIROBI NORTH 545,701 516,385 1,062,086
NAIROBI WEST 352,227 332,538 684,765
SIAYA 257,711 292,513 550,224
MOLO 271,954 270,149 542,103
KIRINYAGA 260,630 267,424 528,054
MOMBASA 268,038 255,145 523,183
IGEMBE 238,958 243,798 482,756
KISUMU EAST 235,676 237,973 473,649
NAKURU 239,230 234,058 473,288
17
POPULATION DISTRIBUTION -10
MOST POPULATED DISTRICTS
DISTRICT MALE FEMALE TOTAL
NAIROBI EAST 582,554 561,862 1,144,416
NAIROBI NORTH 545,701 516,385 1,062,086
NAIROBI WEST 352,227 332,538 684,765
SIAYA 257,711 292,513 550,224
MOLO 271,954 270,149 542,103
KIRINYAGA 260,630 267,424 528,054
MOMBASA 268,038 255,145 523,183
IGEMBE 238,958 243,798 482,756
KISUMU EAST 235,676 237,973 473,649
NAKURU 239,230 234,058 473,288
17

POPULATION DISTRIBUTION -10
LEAST POPULATED DISTRICTS
DISTRICT MALE FEMALE TOTAL
LAIKIPIA NORTH 16,928 15,834 32,762
GARBATULLA 23,314 19,804 43,118
MARSABIT 23,305 23,197 46,502
SAMBURU EAST 29,011 30,083 59,094
SAMBURU NORTH 31,471 28,330 59,801
LAISAMIS 32,198 33,471 65,669
BUNYALA 31,718 35,005 66,723
TAVETA 35,019 32,646 67,665
BORABU 37,079 36,347 73,426
CHALBI 41,318 33,878 75,19618
POPULATION DISTRIBUTION -10
LEAST POPULATED DISTRICTS
DISTRICT MALE FEMALE TOTAL
LAIKIPIA NORTH 16,928 15,834 32,762
GARBATULLA 23,314 19,804 43,118
MARSABIT 23,305 23,197 46,502
SAMBURU EAST 29,011 30,083 59,094
SAMBURU NORTH 31,471 28,330 59,801
LAISAMIS 32,198 33,471 65,669
BUNYALA 31,718 35,005 66,723
TAVETA 35,019 32,646 67,665
BORABU 37,079 36,347 73,426
CHALBI 41,318 33,878 75,19618

DISTRICTS WITH INCONSISTENT
FIGURES
CONSTITUENCY MALE FEMALE TOTAL
LAGDERA* 133,164 111,959 245,123
WAJIR EAST* 122,083 102,335 224,418
MANDERA CENTRAL* 225,579 191,715 417,294
MANDERA EAST* 159,557 129,130 288,687
MANDERA WEST* 174,807 144,968 319,775
TURKANA CENTRAL* 126,539 128,067 254,606
TURKANA NORTH* 197,508 176,906 374,414
TURKANA SOUTH* 121,022 105,357 226,37919
DISTRICTS WITH INCONSISTENT
FIGURES
CONSTITUENCY MALE FEMALE TOTAL
LAGDERA* 133,164 111,959 245,123
WAJIR EAST* 122,083 102,335 224,418
MANDERA CENTRAL* 225,579 191,715 417,294
MANDERA EAST* 159,557 129,130 288,687
MANDERA WEST* 174,807 144,968 319,775
TURKANA CENTRAL* 126,539 128,067 254,606
TURKANA NORTH* 197,508 176,906 374,414
TURKANA SOUTH* 121,022 105,357 226,37919

20
DISTRICTS WITH INCONSISTENT
FIGURES -OBSERVATIONS
.Rate of increase is higher than the
population dynamics (birth and death rates)
would support
.Age and sex profiles deviate from the norm;
.Significant growth is observed in household
size without accompanying growth in number
of households.
.
20
DISTRICTS WITH INCONSISTENT
FIGURES -OBSERVATIONS
.Rate of increase is higher than the
population dynamics (birth and death rates)
would support
.Age and sex profiles deviate from the norm;
.Significant growth is observed in household
size without accompanying growth in number
of households.
.

21
DISTRICTS WITH INCONSISTENT
FIGURES -OBSERVATIONS
.Government wanted to ensure the process
was transparent and accountable. That is
why all the results are announced for all the
districts.
.However, in view of this the Government has
decided to repeat the exercise in these areas
at a date to be announced later.
21
DISTRICTS WITH INCONSISTENT
FIGURES -OBSERVATIONS
.Government wanted to ensure the process
was transparent and accountable. That is
why all the results are announced for all the
districts.
.However, in view of this the Government has
decided to repeat the exercise in these areas
at a date to be announced later.

POPULATION DISTRIBUTION – 10
MOST POPULATED COUNTIES
COUNTY MALE FEMALE TOTAL
NAIROBI 1,605,230 1,533,139 3,138,369
KAKAMEGA 800,989 859,662 1,660,651
BUNGOMA 795,595 835,339 1,630,934
KIAMBU 802,609 820,673 1,623,282
NAKURU 804,582 798,743 1,603,325
MERU 670,656 685,645 1,356,301
KISII 550,464 601,818 1,152,282
KILIFI 535,526 574,209 1,109,735
MACHAKOS 543,139 555,445 1,098,584
MANDERA 559,943 465,813 1,025,75622
POPULATION DISTRIBUTION – 10
MOST POPULATED COUNTIES
COUNTY MALE FEMALE TOTAL
NAIROBI 1,605,230 1,533,139 3,138,369
KAKAMEGA 800,989 859,662 1,660,651
BUNGOMA 795,595 835,339 1,630,934
KIAMBU 802,609 820,673 1,623,282
NAKURU 804,582 798,743 1,603,325
MERU 670,656 685,645 1,356,301
KISII 550,464 601,818 1,152,282
KILIFI 535,526 574,209 1,109,735
MACHAKOS 543,139 555,445 1,098,584
MANDERA 559,943 465,813 1,025,75622

POPULATION DISTRIBUTION – 10
LEAST POPULATED COUNTIES
COUNTY MALE FEMALE TOTAL
LAMU 53,045 48,494 101,539
ISIOLO 73,694 69,600 143,294
SAMBURU 112,007 111,940 223,947
TANA RIVER 119,853 120,222 240,075
TAITA TAVETA 145,334 139,323 284,657
MARSABIT 151,112 140,054 291,166
THARAKA 178,451 186,879 365,330
ELGEYO MARAKWET 183,738 186,260 369,998
LAIKIPIA 198,625 200,602 399,227
BUSIA 232,075 256,000 488,07523
POPULATION DISTRIBUTION – 10
LEAST POPULATED COUNTIES
COUNTY MALE FEMALE TOTAL
LAMU 53,045 48,494 101,539
ISIOLO 73,694 69,600 143,294
SAMBURU 112,007 111,940 223,947
TANA RIVER 119,853 120,222 240,075
TAITA TAVETA 145,334 139,323 284,657
MARSABIT 151,112 140,054 291,166
THARAKA 178,451 186,879 365,330
ELGEYO MARAKWET 183,738 186,260 369,998
LAIKIPIA 198,625 200,602 399,227
BUSIA 232,075 256,000 488,07523

POPULATION DISTRIBUTION-10
MOST POPULATED CONSTITUENCIES
CONSTITUENCY MALE FEMALE TOTAL
EMBAKASI 468,097 457,678 925,775
KASARANI 266,684 258,940 525,624
JUJA 244,051 242,070 486,121
MANDERA CENTRAL 225,579 191,715 417,294
KISAUNI 209,293 196,637 405,930
ELDORET NORTH 196,232 195,423 391,655
KAJIADO NORTH 195,955 191,583 387,538
SABOTI 192,538 194,828 387,366
NAIVASHA 190,082 186,161 376,243
TURKANA NORTH 197,508 176,906 374,41424
POPULATION DISTRIBUTION-10
MOST POPULATED CONSTITUENCIES
CONSTITUENCY MALE FEMALE TOTAL
EMBAKASI 468,097 457,678 925,775
KASARANI 266,684 258,940 525,624
JUJA 244,051 242,070 486,121
MANDERA CENTRAL 225,579 191,715 417,294
KISAUNI 209,293 196,637 405,930
ELDORET NORTH 196,232 195,423 391,655
KAJIADO NORTH 195,955 191,583 387,538
SABOTI 192,538 194,828 387,366
NAIVASHA 190,082 186,161 376,243
TURKANA NORTH 197,508 176,906 374,41424

POPULATION DISTRIBUTION-10
LEAST POPULATED CONSTITUENCIES
CONSTITUENCY MALE FEMALE TOTAL
LAMU EAST 9,614 9,227 18,841
ISIOLO SOUTH 23,314 19,804 43,118
SAKU 23,305 23,197 46,502
WUNDANYI 28,063 27,958 56,021
SAMBURU EAST 29,011 30,083 59,094
GALOLE 29,467 31,399 60,866
MOGOTIO 30,409 30,550 60,959
LAISAMIS 32,198 33,471 65,669
BUDALANGI 31,718 35,005 66,723
TAVETA 35,019 32,646 67,66525
POPULATION DISTRIBUTION-10
LEAST POPULATED CONSTITUENCIES
CONSTITUENCY MALE FEMALE TOTAL
LAMU EAST 9,614 9,227 18,841
ISIOLO SOUTH 23,314 19,804 43,118
SAKU 23,305 23,197 46,502
WUNDANYI 28,063 27,958 56,021
SAMBURU EAST 29,011 30,083 59,094
GALOLE 29,467 31,399 60,866
MOGOTIO 30,409 30,550 60,959
LAISAMIS 32,198 33,471 65,669
BUDALANGI 31,718 35,005 66,723
TAVETA 35,019 32,646 67,66525

EDUCATION
26
PROVINCE PRE-PRIMARY PRIMARY SECONDARY UNIVERSITY
KENYA (TOTAL) 2,247,071 9,425,390 1,796,467 198,119
NAIROBI 155,936 490,314 176,837 69,345
CENTRAL 220,621 987,348 265,881 25,321
COAST 250,380 758,062 108,401 8,941
EASTERN 257,690 1,509,526 268,751 13,645
NORTH EASTERN 24,383 414,541 60,133 2,431
NYANZA 426,046 1,513,952 309,130 18,359
RIFT VALLEY 640,044 2,475,352 411,416 49,061
WESTERN 271,971 1,276,295 195,918 11,016
•Key pillar for human development towards realization
of vision 2030
•Population attending school at different levels:
EDUCATION
26
PROVINCE PRE-PRIMARY PRIMARY SECONDARY UNIVERSITY
KENYA (TOTAL) 2,247,071 9,425,390 1,796,467 198,119
NAIROBI 155,936 490,314 176,837 69,345
CENTRAL 220,621 987,348 265,881 25,321
COAST 250,380 758,062 108,401 8,941
EASTERN 257,690 1,509,526 268,751 13,645
NORTH EASTERN 24,383 414,541 60,133 2,431
NYANZA 426,046 1,513,952 309,130 18,359
RIFT VALLEY 640,044 2,475,352 411,416 49,061
WESTERN 271,971 1,276,295 195,918 11,016
•Key pillar for human development towards realization
of vision 2030
•Population attending school at different levels:

WATER
27
PROVINCE Pond/Dam/
Lake Piped Stream
Spring / Well /
Borehole
Jabia / Rain
/Harvested Other
KENYA (TOTAL) 5.1 30.0 21.6 35.4 1.1 6.8
NAIROBI 0.3 75.7 0.1 7.2 0.2 16.5
CENTRAL 1.6 39.8 26.0 25.1 2.6 5.0
COAST 8.2 46.3 7.1 25.4 0.6 12.3
EASTERN 4.1 28.5 28.8 31.1 0.7 6.7
N-EASTERN 16.3 11.6 5.1 51.5 2.5 13.0
NYANZA 12.8 8.5 29.9 45.3 0.9 2.5
RIFT VALLEY 4.7 22.8 29.3 36.3 1.2 5.5
WESTERN 1.2 7.0 16.8 73.8 0.4 0.8
•Crucial basic human need for survival, and whose
availability enhances economic growth.
•Main Source of Water (% Households):
WATER
27
PROVINCE Pond/Dam/
Lake Piped Stream
Spring / Well /
Borehole
Jabia / Rain
/Harvested Other
KENYA (TOTAL) 5.1 30.0 21.6 35.4 1.1 6.8
NAIROBI 0.3 75.7 0.1 7.2 0.2 16.5
CENTRAL 1.6 39.8 26.0 25.1 2.6 5.0
COAST 8.2 46.3 7.1 25.4 0.6 12.3
EASTERN 4.1 28.5 28.8 31.1 0.7 6.7
N-EASTERN 16.3 11.6 5.1 51.5 2.5 13.0
NYANZA 12.8 8.5 29.9 45.3 0.9 2.5
RIFT VALLEY 4.7 22.8 29.3 36.3 1.2 5.5
WESTERN 1.2 7.0 16.8 73.8 0.4 0.8
•Crucial basic human need for survival, and whose
availability enhances economic growth.
•Main Source of Water (% Households):

SANITATION
28
PROVINCE Main Sewer Septic Tank Cess Pool Pit Latrine Bush Other
KENYA (TOTAL) 7.7 3.4 0.3 74.5 13.6 0.5
NAIROBI 47.7 9.7 1.1 40.3 0.4 0.8
CENTRAL 3.8 5.0 0.3 90.5 0.2 0.1
COAST 5.8 7.8 0.8 60.5 24.3 0.8
EASTERN 1.6 1.7 0.2 85.6 10.7 0.2
N-EASTERN 0.4 0.4 0.1 33.3 63.0 2.7
NYANZA 1.3 0.7 0.1 80.1 17.5 0.3
RIFT VALLEY 3.3 2.2 0.2 73.3 20.7 0.2
WESTERN 0.9 0.7 0.1 95.2 2.9 0.3
Poor Sanitary conditions impacts on prevailing and health
standards of the local people, and hence development
•Main mode of Human Waste Disposal (% Households):
SANITATION
28
PROVINCE Main Sewer Septic Tank Cess Pool Pit Latrine Bush Other
KENYA (TOTAL) 7.7 3.4 0.3 74.5 13.6 0.5
NAIROBI 47.7 9.7 1.1 40.3 0.4 0.8
CENTRAL 3.8 5.0 0.3 90.5 0.2 0.1
COAST 5.8 7.8 0.8 60.5 24.3 0.8
EASTERN 1.6 1.7 0.2 85.6 10.7 0.2
N-EASTERN 0.4 0.4 0.1 33.3 63.0 2.7
NYANZA 1.3 0.7 0.1 80.1 17.5 0.3
RIFT VALLEY 3.3 2.2 0.2 73.3 20.7 0.2
WESTERN 0.9 0.7 0.1 95.2 2.9 0.3
Poor Sanitary conditions impacts on prevailing and health
standards of the local people, and hence development
•Main mode of Human Waste Disposal (% Households):

29
DISABILITY
.Disability has adverse effect on a person’s
ability to carry out day to day activities
.Key areas assessed were: visual, hearing,
speech and language, difficulties, physical,
mental, self care difficulties and other
.Number of persons with disability:
-Males -647,689 (3.4 %)
-Female – 682,623 (3.5%)
-Total -1,330,312 (3.5%) 29
DISABILITY
.Disability has adverse effect on a person’s
ability to carry out day to day activities
.Key areas assessed were: visual, hearing,
speech and language, difficulties, physical,
mental, self care difficulties and other
.Number of persons with disability:
-Males -647,689 (3.4 %)
-Female – 682,623 (3.5%)
-Total -1,330,312 (3.5%)

30
LIVESTOCK POPULATION
Exotic Cattle
Indigenous
Cattle Sheep Goats Camels Donkeys
KENYA 3,355,407 14,112,367 17,129,606 27,740,153 2,971,111 1,832,519
NAIROBI 25,536 29,010 34,717 46,837 20 12,824
CENTRAL 800,227 325,678 664,237 531,209 231 35,516
COAST 74,119 885,846 467,439 1,570,728 51,045 31,916
EASTERN 373,307 1,886,854 1,890,898 4,729,057 248,634 304,249
NORTH
EASTERN 80,422 2,694,786 4,264,155 7,886,586 1,700,893 382,345
NYANZA 221,670 1,527,000 495,055 961,269 59 60,793
RIFT VALLEY 1,560,222 5,919,585 9,079,380 11,750,521 968,192 988,647
WESTERN 219,904 843,608 233,725 263,946 2,037 16,229
30
LIVESTOCK POPULATION
Exotic Cattle
Indigenous
Cattle Sheep Goats Camels Donkeys
KENYA 3,355,407 14,112,367 17,129,606 27,740,153 2,971,111 1,832,519
NAIROBI 25,536 29,010 34,717 46,837 20 12,824
CENTRAL 800,227 325,678 664,237 531,209 231 35,516
COAST 74,119 885,846 467,439 1,570,728 51,045 31,916
EASTERN 373,307 1,886,854 1,890,898 4,729,057 248,634 304,249
NORTH
EASTERN 80,422 2,694,786 4,264,155 7,886,586 1,700,893 382,345
NYANZA 221,670 1,527,000 495,055 961,269 59 60,793
RIFT VALLEY 1,560,222 5,919,585 9,079,380 11,750,521 968,192 988,647
WESTERN 219,904 843,608 233,725 263,946 2,037 16,229

31
LIVESTOCK POPULATION CONT’D
Pigs
Indigenous
Chicken
Chicken
Commercial Bee Hives
KENYA 334,689 25,756,487 6,071,042 1,842,496
NAIROBI 29,976 279,397 342,788 7,585
CENTRAL 91,977 3,039,786 2,489,837 95,972
COAST 5,243 1,599,696 521,864 45,239
EASTERN 43,480 4,107,618 544,812 842,857
NORTH EASTERN 68 422,899 71,313 59,189
NYANZA 27,612 5,605,478 501,056 48,124
RIFT VALLEY 48,495 6,557,262 1,339,395 706,765
WESTERN 87,838 4,144,351 259,977 36,765
31
LIVESTOCK POPULATION CONT’D
Pigs
Indigenous
Chicken
Chicken
Commercial Bee Hives
KENYA 334,689 25,756,487 6,071,042 1,842,496
NAIROBI 29,976 279,397 342,788 7,585
CENTRAL 91,977 3,039,786 2,489,837 95,972
COAST 5,243 1,599,696 521,864 45,239
EASTERN 43,480 4,107,618 544,812 842,857
NORTH EASTERN 68 422,899 71,313 59,189
NYANZA 27,612 5,605,478 501,056 48,124
RIFT VALLEY 48,495 6,557,262 1,339,395 706,765
WESTERN 87,838 4,144,351 259,977 36,765

OWNERSHIP OF HOUSEHOLD
ASSETS
32
Radio % TV % Mobile Phone %
Landline
Telephone % Computer % other %
KENYA 6,489,453 74.0 2,456,594 28.0 5,538,689 63.2 105,367 1.2 311,543 3.6 3,528,847 32.2
NAIROBI 780,688 79.3 606,714 61.6 870,163 88.3 44,834 4.6 131,524 13 434,964 24.9
CENTRAL 1,042,279 85.1 495,395 40.4 918,440 75.0 11,011 0.9 45,400 3.7 520,324 33.9
COAST 455,555 62.3 194,196 26.6 476,347 65.1 11,235 1.5 27,978 3.8 308,395 31
EASTERN 959,056 74.6 265,876 20.7 758,368 59.0 7,320 0.6 19,950 1.6 575,475 37.3
N/EASTERN 175,277 56.1 10,925 3.5 90,091 28.8 1,251 0.4 1,936 0.6 49,249 2.7
NYANZA 890,689 75.0 221,636 18.7 686,075 57.7 7,512 0.6 21,671 1.8 466,203 34.5
RIFT VALLEY 1,506,917 70.5 494,209 23.1 1,255,706 58.8 17,890 0.8 51,363 2.4 719,553 28.7
Number and % of Households
OWNERSHIP OF HOUSEHOLD
ASSETS
32
Radio % TV % Mobile Phone %
Landline
Telephone % Computer % other %
KENYA 6,489,453 74.0 2,456,594 28.0 5,538,689 63.2 105,367 1.2 311,543 3.6 3,528,847 32.2
NAIROBI 780,688 79.3 606,714 61.6 870,163 88.3 44,834 4.6 131,524 13 434,964 24.9
CENTRAL 1,042,279 85.1 495,395 40.4 918,440 75.0 11,011 0.9 45,400 3.7 520,324 33.9
COAST 455,555 62.3 194,196 26.6 476,347 65.1 11,235 1.5 27,978 3.8 308,395 31
EASTERN 959,056 74.6 265,876 20.7 758,368 59.0 7,320 0.6 19,950 1.6 575,475 37.3
N/EASTERN 175,277 56.1 10,925 3.5 90,091 28.8 1,251 0.4 1,936 0.6 49,249 2.7
NYANZA 890,689 75.0 221,636 18.7 686,075 57.7 7,512 0.6 21,671 1.8 466,203 34.5
RIFT VALLEY 1,506,917 70.5 494,209 23.1 1,255,706 58.8 17,890 0.8 51,363 2.4 719,553 28.7
Number and % of Households

RELIGIOUS AFFILIATION (MAIN
TRIBES)
RELIGION TOTAL
CATHOLIC 9,010,684
PROTESTANT 18,307,466
OTHER CHRISTIAN 4,559,584
MUSLIM 4,304,798
HINDU 53,393
TRADITIONALIST 635,352
OTHER RELIGION 557,450
NO RELIGION 922,128
DON'T KNOW 61,23333
RELIGIOUS AFFILIATION (MAIN
TRIBES)
RELIGION TOTAL
CATHOLIC 9,010,684
PROTESTANT 18,307,466
OTHER CHRISTIAN 4,559,584
MUSLIM 4,304,798
HINDU 53,393
TRADITIONALIST 635,352
OTHER RELIGION 557,450
NO RELIGION 922,128
DON'T KNOW 61,23333

ETHNIC AFFILIATION
TRIBE TOTAL
KIKUYU 6,622,576
LUHYA 5,338,666
KALENJIN 4,967,328
LUO 4,044,440
KAMBA 3,893,157
*KENYAN SOMALI 2,385,572
KISII 2,205,669
MIJIKENDA 1,960,574
MERU 1,658,108
*TURKANA 988,592
MAASAI 841,622
TESO 338,83334
ETHNIC AFFILIATION
TRIBE TOTAL
KIKUYU 6,622,576
LUHYA 5,338,666
KALENJIN 4,967,328
LUO 4,044,440
KAMBA 3,893,157
*KENYAN SOMALI 2,385,572
KISII 2,205,669
MIJIKENDA 1,960,574
MERU 1,658,108
*TURKANA 988,592
MAASAI 841,622
TESO 338,83334

ETHNIC AFFILIATION CONT’D
TRIBE TOTAL
EMBU 324,092
TAITA 273,519
KURIA 260,401
SAMBURU 237,179
THARAKA 175,905
MBEERE 168,155
BORANA 161,399
BASUBA 139,271
SWAHILI 110,614
GABRA 89,515
ORMA 66,275
RENDILE 60,43735
ETHNIC AFFILIATION CONT’D
TRIBE TOTAL
EMBU 324,092
TAITA 273,519
KURIA 260,401
SAMBURU 237,179
THARAKA 175,905
MBEERE 168,155
BORANA 161,399
BASUBA 139,271
SWAHILI 110,614
GABRA 89,515
ORMA 66,275
RENDILE 60,43735

IMPLICATIONS
.Currently, Kenya is adding one million people yearly to its
already high population. This high rate of population
growth has adverse effects on spending in infrastructure,
health, education, environment, water and other social
and economic sectors.
.In order for the Government to achieve Vision 2030 goals,
there is need to invest in education to meet the demands
of the growing school age population and the demand for
future manpower. In addition, critical investment will be
required in family planning services, health and other
social and economic sectors to improve the welfare of
Kenyans.36
IMPLICATIONS
.Currently, Kenya is adding one million people yearly to its
already high population. This high rate of population
growth has adverse effects on spending in infrastructure,
health, education, environment, water and other social
and economic sectors.
.In order for the Government to achieve Vision 2030 goals,
there is need to invest in education to meet the demands
of the growing school age population and the demand for
future manpower. In addition, critical investment will be
required in family planning services, health and other
social and economic sectors to improve the welfare of
Kenyans.36

TOTAL POPULATION -KENYA
MALE
19,192,458
FEMALE
19,417,639
37
TOTAL POPULATION -KENYA
MALE
19,192,458
FEMALE
19,417,639
37

KENYAKENYA’’STOTALS TOTAL
POPULATIONISPOPULATION IS……
38
KENYAKENYA’’STOTALS TOTAL
POPULATIONISPOPULATION IS……
38

SMS SERVICE
.As part of dissemination strategy, the
Government has put in place an SMS service
for the public to access the census results.
.This takes effect today at 2:00 p.m.
.SMS to Number 3151 on Safaricom and Zain
– Example Taita Taveta County and then send to
3151.
39
SMS SERVICE
.As part of dissemination strategy, the
Government has put in place an SMS service
for the public to access the census results.
.This takes effect today at 2:00 p.m.
.SMS to Number 3151 on Safaricom and Zain
– Example Taita Taveta County and then send to
3151.
39

CONCLUSION
THE SUCCESS OF THE 2009 POPULATION
AND HOUSING
CENSUS REQUIRED THE PARTICIPATION
OF
EVERYONE!
Nipo! Natambulika!
40
CONCLUSION
THE SUCCESS OF THE 2009 POPULATION
AND HOUSING
CENSUS REQUIRED THE PARTICIPATION
OF
EVERYONE!
Nipo! Natambulika!
40