pi i ogether? 3. demographic indicators -...
TRANSCRIPT
-
7
Pulling Apart or Pooling Together?
3. Demographic indicators
2.1 Population distribution
According to Bloom, Canning, and Sevilla (2003), the size and composition of a household has implications on its welfare. Changes in the composition of different age groups are linked with household movements into and out of poverty due to the different needs throughout the life cycle: the young require intensive investment in health and education; prime-age adults require supply of labour and savings; and the aged require health care and retirement income.
The population structure has significant implications on labour, provision of social services and issues of social security. A large child population presents the challenge of provision of essential services like education and child health. A small working age population means that only a few people in the entire population continue to shoulder the burden of taxation and care for those that are dependent on them.
Kenya’s demographic structure is that of a pyramid (see Figure 2.1) with those aged between 0 and 14 years (the children) comprising of 43% of the total population while those aged between 15 and 34 (youth) comprising of 35% of the total population. The working age population (15-64) comprises of 53.4% of the total population while the elderly (65+) comprise of 3.5% of the total population.
The population distribution differs between rural areas and urban areas (see figure 2.2 and figure 2.3). Urban ar-eas have a smaller proportion of 0-14 year olds (the current proportion of this age group in urban areas is 36.5% compared to 46.1% in rural areas) due to the tendency to get fewer children in urban areas than in rural areas. Urban areas have a larger number of youth (15-34 year olds) who currently form 42.4% of the population and 31.8% of the population in rural areas. This is attributed to a significantly high number of those aged between 20 and 34 years migrating from rural to urban areas in search of employment and education opportunities. Conse-quently, urban areas have a higher number of the working age population (15-64 year olds) who form 61.3% of the population in urban areas compared to 49.8% in rural areas. Rural areas have higher numbers of the elderly (65+) i.e. 4.1% of the population compared to 2.2% of this age group in urban areas.
Figure 2.1: National population pyramid
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8
Exploring Kenya’s Inequality
A PUBLICATION OF KNBS AND SID
Figure 2.2: Rural population pyramid
Figure 2.3: Urban population pyramid
2.2 Household size and composition
Household size is an important indicator as it relates to the level of poverty. Households with a large number of people reports high levels of poverty compared to households with fewer people. In rural areas, poor households have a mean household size of 6.5 compared to 4.7 members among the non poor. Among urban households, the mean size is 5 and 3.6 for poor and non-poor respectively (KNBS, 2008). Twenty percent of households in Kenya have 7 members and above with rural households having a significantly higher proportion at 25.4 percent compared to 11.5 percent in urban areas (Table 2.1). The high household size in rural areas leads to high depen-dency and lower living conditions hence increased poverty.
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9
Pulling Apart or Pooling Together?
Nairobi County has the highest proportion (62.4 percent) of households with 3 or less household members. This is in comparison with Mandera County that has 79 percent of all households with 7 or more members. The stark differences in household size can be attributed to higher fertility levels in predominantly rural counties, dynamics of urban population and rural urban migration. The situation is similar at constituency level. Notably, the top 10 ranked constituencies with household members at 3 or less are all urban while those with 7 members or more are all rural (see Table 2.2).
2.3 Dependency ratios
The total dependency ratio is the proportion of the population aged below 15 years, and those above 64 years compared to those aged between 15 and 64 years. Lower dependency ratios are associated with a reduction in fertility that can lead to increased income if the working age population increases and is gainfully employed. A high dependency ratio implies that there is a small proportion of people engaged in income generating activity. It is also associated with higher fertility rates, lower education, poorer health of household members and an intergenerational transfer of poverty. The national total dependency ratio is 0.873 with the rural areas having a dependency ratio of 1.008 compared to urban areas which have a dependency ratio of 0.63 as illustrated in table 2.1. A total of 32 counties have dependency ratios above the national average. Mandera County has the highest dependency ratio at 1.25, which is about 2.7 times more than Nairobi County (which has the least total depen-dency ratio of 0.465).
This high dependency ratio in the country increases pressure on resources generated by the household leading to reduced savings and resources for investments hence structural poverty. This high dependency implies that significant incomes of households in rural areas are spent on subsistence i.e. food, health and education com-pared to their urban counterparts. There is need to boost rural economies whose primary economic activity is based on crops and livestock.
Child dependency represents the ratio between children under the age of 14 years and persons aged 15 – 64 years. The higher the rate of dependency, the lower the number of economically active persons to children un-der 14 years. The rate of child dependency is an indicator of the quality of children’s wellbeing. The overall child dependency ratio is 0.807 with the rate significantly higher in rural areas (0.93) and lower in urban areas (0.6).
The aged dependency is the ratio of persons above the age of 65 years compared to those aged 15 – 64 years. Kenya has an aged dependency of 0.065 with a higher rate in rural areas (0.082) compared to urban areas (0.035). The difference between rural and urban areas is attributable to migration of older persons to rural areas and young people to urban areas. The aged dependency ratio in the bottom constituency, Embakasi South (0.005) is 31.8 times less than that of Mukurweini (0.159), the constituency with the highest ratio of aged depen-dency ratio (see table 2.2).
The very high dependency ratios reflect mostly large numbers of residents under the age of 15. A comparison of the top 10 counties in terms of overall dependency ratio and the top ten counties with the highest child dependen-cy ratio shows that these lists are almost identical. The two lists contain: Mandera, West Pokot, Wajir, Tana River, Samburu, Narok, Migori, Baringo and Homa Bay. The overall ratio is high in Kitui, but this does not make the top ten for child dependency (meaning its dependents are more older), while child dependency is high in Bungoma, but this does not make the list for overall dependency.
The situation is similar at the constituency level, where 9 out of the 10 top constituencies for overall dependency and child dependency are the same.
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10
Exploring Kenya’s Inequality
A PUBLICATION OF KNBS AND SID
Tab
le 2
.1:
Dem
og
rap
hic
ind
icat
ors
at
natio
nal a
nd c
oun
ty le
vel
Hou
seho
lds
with
3 o
r les
s m
embe
rsH
ouse
hold
s w
ith 7
+ m
embe
rsSe
x ra
tioTo
tal d
epen
denc
y ra
tioC
hild
dep
ende
ncy
ratio
Age
d de
pend
ency
ratio
Ken
ya
4
1.50
0 K
enya
20.
090
Ken
ya
0.98
2 K
enya
0.87
3 K
enya
0.80
7 K
enya
0.06
5
Rur
al
3
3.21
6 R
ural
25.
443
Rur
al
0.97
4 R
ural
1.00
8 R
ural
0.92
6 R
ural
0.08
2
Urb
an
5
4.84
2 U
rban
11.
468
Urb
an
0.99
9 U
rban
0.63
0 U
rban
0.59
5 U
rban
0.03
5
Top
10 C
onst
ituen
cies
Nai
robi
6
2.39
0 M
ande
ra
79.
080
Waj
ir
1.21
3 M
ande
ra
1.25
0 M
ande
ra
1.20
8 Vi
higa
0.
124
Mom
basa
5
9.22
7 W
ajir
68.
370
Man
dera
1.19
9 W
est
Pok
ot
1.21
8 W
est P
okot
1.
159
Mur
ang’
a
0.12
3
Nye
ri
5
5.36
8 T
urka
na
58.
596
Gar
issa
1.17
0 W
ajir
1.
180
Waj
ir
1.13
3 K
itui
0.
110
Kiri
nyag
a
5
4.83
7 G
aris
sa
49.
583
Tur
kana
1.07
8 Ta
na
Riv
er
1.16
9 Ta
na R
iver
1.
106
Nye
ri
0.11
0
Kia
mbu
5
4.27
2 W
est
Pok
ot
38.
238
Lam
u
1.06
9 S
ambu
ru
1.16
1 S
ambu
ru
1.09
6 S
iaya
0.
107
Mur
ang’
a
4
9.83
9 K
ilifi
36.
000
Mar
sabi
t
1.06
6 N
arok
1.
132
Nar
ok
1.07
9 M
akue
ni
0.10
2
Nak
uru
49.
195
Kw
ale
31.
948
Mom
basa
1.06
1 M
igor
i
1.10
9 M
igor
i
1.04
9 Th
arak
a N
ithi
0.
096
Tai
ta-T
avet
a
4
8.44
3 M
igor
i
3
1.21
6 N
airo
bi
1.
034
Kitu
i
1.09
2 B
arin
go
1.01
1 Ta
ita-T
avet
a
0.09
2
Lai
kipi
a
4
7.64
6 M
arsa
bit
29.
941
Isio
lo
1.
021
Hom
a B
ay
1.08
0 H
oma
Bay
1.
003
Em
bu
0.09
1
Kaj
iado
4
6.89
7 B
arin
go
29.
800
Tai
ta-
Tave
ta
1.
014
Bar
ingo
1.
080
Bun
gom
a
1.00
3 M
acha
kos
0.
090
Med
ian
coun
ty
Kak
ameg
a
3
5.09
3 K
akam
ega
22.
360
Kia
mbu
0.97
6 Is
iolo
0.
956
Turk
ana
0.
882
Kw
ale
0.
068
Bot
tom
10
coun
ties
Bun
gom
a
2
9.81
0 T
hara
ka
Nith
i
1
4.29
4 M
igor
i
0.93
6 Th
arak
a N
ithi
0.
797
Mac
hako
s
0.70
8 Tr
ans-
Nzo
ia
0.05
5
Bom
et
29.
565
Nak
uru
14.
279
Kili
fi
0.92
8 M
uran
g’a
0.
792
Thar
aka
Nith
i
0.70
1 N
arok
0.
053
Mar
sabi
t
2
8.67
2 K
ajia
do
14.
210
Kak
ameg
a
0.92
8 K
ajia
do
0.78
9 Ta
ita-T
avet
a
0.68
9 U
asin
-Gis
hu
0.05
2
Tan
a R
iver
2
8.55
4 E
mbu
1
2.55
2 N
yam
ira
0.
924
Taita
-Ta
veta
0.
782
Mur
ang’
a
0.66
9 W
ajir
0.
048
Mig
ori
28.
308
Mom
basa
1
0.33
2 H
oma
Bay
0.91
9 E
mbu
0.
752
Em
bu
0.66
1 G
aris
sa
0.04
6
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11
Pulling Apart or Pooling Together?
Wes
t Pok
ot
23.
387
Mur
ang’
a
9.72
8 B
usia
0.91
2 N
yeri
0.
676
Nye
ri
0.56
6 Tu
rkan
a
0.04
6
Gar
issa
1
5.68
4 K
iam
bu
8.
484
Kis
ii
0.91
1 K
iriny
aga
0.
624
Kia
mbu
0.
558
Man
dera
0.
042
Tur
kana
1
1.64
4 N
yeri
6.
731
Kitu
i
0.90
1 K
iam
bu
0.61
6 K
iriny
aga
0.
537
Kaj
iado
0.
040
Waj
ir
6.35
8 N
airo
bi
6.
573
Vih
iga
0.
901
Mom
basa
0.
539
Mom
basa
0.
513
Mom
basa
0.
026
Man
dera
3.04
4 K
iriny
aga
5.
599
Sia
ya
0.
898
Nai
robi
0.
465
Nai
robi
0.
449
Nai
robi
0.
016
Tab
le 2
.2:
Dem
og
rap
hic
ind
icat
ors
at
cons
titue
ncy
leve
l
Hou
seho
lds
with
3 o
r les
s m
embe
rsH
ouse
hold
s w
ith 7
+ m
embe
rsSe
x ra
tioTo
tal d
epen
denc
y ra
tioC
hild
dep
ende
ncy
ratio
Age
d de
pend
ency
ra
tioTo
p 10
con
stitu
enci
es
Em
baka
si S
outh
72.3
44M
ande
ra W
est
91.
201
Lafe
y
1.31
6 M
ande
ra W
est
1.
380
Man
dera
Wes
t
1.33
7 M
ukur
we-
Ini
0.
159
Mat
hare
65.9
97Ta
rbaj
83.
591
Eld
as
1.29
4 Ti
aty
1.
362
Ban
issa
1.
322
Kan
gem
a
0.14
2
Em
baka
si N
orth
65.3
42B
anis
sa
8
3.55
6 M
ande
ra N
orth
1.
269
Ban
issa
1.
362
Tiat
y
1.31
8 Te
tu
0.14
2
Mav
oko
64.6
55M
ande
ra S
outh
83.
272
Lagd
era
1.
262
Man
dera
Sou
th
1.35
3 M
ande
ra S
outh
1.
309
Mat
hioy
a
0.14
1
Cha
ngam
we
64.3
51E
ldas
81.
833
Bal
amba
la
1.25
5 K
ache
liba
1.
334
Kac
helib
a
1.28
8 K
anda
ra
0.13
4
Sta
rehe
63.9
58M
ande
ra N
orth
78.
176
Waj
ir W
est
1.
250
Gan
ze
1.33
2 G
anze
1.
234
Kih
aru
0.
132
Mak
adar
a63
.494
Turk
ana
Eas
t
7
5.99
4 Ta
rbaj
1.
248
Waj
ir N
orth
1.
269
Waj
ir N
orth
1.
226
Em
uhay
a
0.13
0
Thik
a To
wn
63.0
91W
ajir
Nor
th
7
5.58
9 B
anis
sa
1.24
0 Ta
rbaj
1.
256
Tarb
aj
1.21
8 O
thay
a
0.13
0
Dag
oret
i Nor
th63
.076
Lafe
y
7
3.94
5 E
mba
kasi
S
outh
1.
236
Eld
as
1.24
4 E
ldas
1.
211
Uge
nya
0.
129
Wes
tland
s63
.060
Lagd
era
67.
586
Waj
ir S
outh
1.
213
Kin
ango
1.
231
Kur
ia E
ast
1.
166
Mw
ala
0.
128
Med
ian
cons
titue
ncy
Kas
ipul
36.1
12M
arak
wet
Eas
t
2
1.72
5 M
arak
wet
Eas
t
0.96
8 K
itutu
Cha
che
Nor
th
0.96
6 K
itutu
Cha
che
Nor
th
0.88
6 N
yatik
e
0.06
6
Bot
tom
10
cons
titue
ncie
s
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12
Exploring Kenya’s Inequality
A PUBLICATION OF KNBS AND SID
Lagd
era
3.34
1N
dia
5.
867
Kitu
tu C
hach
e N
orth
0.
880
Em
baka
si E
ast
0.
458
Mvi
ta
0.44
1 K
asar
ani
0.
015
Eld
as3.
200
Dag
oret
i Sou
th
5.81
7 A
lego
Uso
nga
0.
878
Roy
sam
bu
0.45
3 R
oysa
mbu
0.
440
Roy
sam
bu
0.01
3
Waj
ir N
orth
2.98
4K
iriny
aga
Cen
tral
5.
594
Mw
ingi
Wes
t
0.87
5 K
amuk
unji
0.
449
Em
baka
si W
est
0.
434
Kib
ra
0.01
3
Man
dera
Nor
th2.
915
Rui
ru
5.51
5 B
utul
a
0.87
4 E
mba
kasi
Wes
t
0.44
3 K
amuk
unji
0.
430
Mat
hare
0.
012
Lafe
y2.
841
Roy
sam
bu
5.48
4 E
muh
aya
0.
873
Dag
oret
i Nor
th
0.44
2 E
mba
kasi
S
outh
0.
420
Em
baka
si
Eas
t
0.01
0
Turk
ana
Eas
t2.
408
Mat
hare
5.
459
Mw
ingi
Nor
th
0.86
9 W
estla
nds
0.
428
Dag
oret
i Nor
th
0.41
7 E
mba
kasi
N
orth
0.
010
Tarb
aj1.
553
Nye
ri To
wn
5.
429
Ugu
nja
0.
863
Em
baka
si S
outh
0.
426
Wes
tland
s
0.38
7 R
uara
ka
0.01
0
Ban
issa
1.44
1G
ichu
gu
4.68
6 E
mba
kasi
Wes
t
0.85
7 M
akad
ara
0.
394
Mak
adar
a
0.37
4 E
mba
kasi
W
est
0.
009
Man
dera
Sou
th1.
180
Em
baka
si
Nor
th
4.63
4 U
geny
a
0.85
2 La
ngat
a
0.39
1 La
ngat
a
0.36
7 E
mba
kasi
C
entra
l
0.00
8
Man
dera
Wes
t0.
620
Em
baka
si
Sou
th
2.72
3 G
anze
0.
844
Sta
rehe
0.
382
Sta
rehe
0.
362
Em
baka
si
Sou
th
0.00
5
-
2.4 Demographic annex tables
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14
Exploring Kenya’s Inequality
A PUBLICATION OF KNBS AND SID
Anne
x Tab
le 1:
Gen
der,
age g
roup
, dem
ogra
phic
indi
cato
rs an
d ho
useh
olds
size
by c
ount
y and
cons
titue
ncy
Coun
ty/
cons
titue
ncy/
ward
s
Gend
erAg
e gro
upDe
mog
raph
ic in
dica
tors
Prop
ortio
n of
hou
seho
ld
mem
bers
Tota
l pop
.Ma
leFe
male
0-5 y
rs0-
14 yr
s10
-18 y
rs15
-34 y
rs15
-64 y
rs65
+ yrs
Sex
ratio
Tota
l de
pend
-en
cy
ratio
Child
de
pend
-en
cy ra
tio
aged
de
pend
ency
ra
tio0-
3 4-
6 7+
To
tal
Keny
a
37,91
9,647
18,78
7,698
19,13
1,949
7,035
,670
16
,346,4
14
8,2
93,20
7 1
3,329
,717
20
,249,8
00
1,3
23,43
3
0.9
82
0.8
73
0.80
7
0.
065
41.5
38
.4
20.1
8,4
93,38
0
Rura
l
26,07
5,195
12,86
9,034
13,20
6,161
5,059
,515
12
,024,7
73
6,1
34,73
0
8,303
,007
12
,984,7
88
1,0
65,63
4
0.9
74
1.0
08
0.92
6
0.
082
33.2
41
.3
25.4
5,2
39,87
9
Urba
n
11,84
4,452
5,918
,664
5,9
25,78
8
1,976
,155
4,3
21,64
1
2,158
,477
5,0
26,71
0
7,265
,012
257,7
99
0.999
0.630
0.
595
0.03
5 54
.8
33.7
11
.5
3,253
,501
Nairo
bi C
ounty
3,0
78,18
0
1,564
,829
1,5
13,35
1
46
2,849
94
3,040
44
5,674
1,502
,127
2,1
00,92
6
34
,214
1.034
0.465
0.
449
0.01
6 62
.4
31.0
6.6
968,4
77
Wes
tland
s Co
nstitu
ency
173,3
81
89
,708
83
,673
21,83
0
46,93
6
23
,581
75,64
9
12
1,425
5,020
1.0
72
0.4
28
0.38
7
0.
041
63.1
30
.8 6.1
55
,568
Dago
reti N
orth
Co
nstitu
ency
177,7
84
88
,900
88
,884
24,62
2
51,36
9
24
,656
80,55
2
12
3,285
3,130
1.0
00
0.4
42
0.41
7
0.
025
63.1
30
.5 6.4
56
,709
Dago
reti S
outh
Co
nstitu
ency
179,1
13
89
,140
89
,973
28,07
6
58,76
7
28
,100
82,94
4
11
7,838
2,508
0.9
91
0.5
20
0.49
9
0.
021
59.8
34
.4 5.8
55
,562
Lang
ata
Cons
tituen
cy
17
7,935
89,20
0
88,73
5
22
,007
46
,886
24,59
4
86
,568
127,8
91
3,1
58
1.005
0.391
0.
367
0.02
5 60
.0
30.7
9.4
52,65
6
Kibr
a Co
nstitu
ency
201,3
65
106,9
03
94
,462
31,37
8
65,91
6
31
,619
92,40
4
13
3,764
1,685
1.1
32
0.5
05
0.49
3
0.
013
62.3
30
.4 7.3
63
,093
Roys
ambu
Co
nstitu
ency
181,3
50
87
,970
93
,380
26,92
4
54,91
0
26
,437
89,75
7
12
4,790
1,650
0.9
42
0.4
53
0.44
0
0.
013
62.6
31
.9 5.5
57
,677
Kasa
rani
Co
nstitu
ency
169,2
30
82
,970
86
,260
26,48
4
55,56
3
27
,129
76,71
8
11
1,965
1,702
0.9
62
0.5
11
0.49
6
0.
015
56.3
36
.0 7.7
49
,825
Ruar
aka
Cons
tituen
cy
19
3,470
10
2,367
91,10
3
34
,787
68
,540
29,46
2
93
,370
123,6
92
1,2
38
1.124
0.564
0.
554
0.01
0 61
.9
30.9
7.2
60,34
7
Emba
kasi
South
Co
nstitu
ency
200,6
94
110,9
36
89
,758
33,78
1
59,17
7
19
,534
1
13,05
9
14
0,779
73
8
1.2
36
0.4
26
0.42
0
0.
005
72.3
24
.9 2.7
74
,703
Emba
kasi
North
Co
nstitu
ency
180,7
81
90
,963
89
,818
30,95
0
61,21
5
26
,721
86,76
4
11
8,335
1,231
1.0
13
0.5
28
0.51
7
0.
010
65.3
30
.0 4.6
60
,186
Emba
kasi
Centr
al
Cons
tituen
cy
19
0,344
93,26
4
97,08
0
31
,771
64
,935
29,07
0
92
,291
124,4
21
988
0.961
0.530
0.
522
0.00
8 58
.9
34.9
6.2
57,76
2
Emba
kasi
East
Co
nstitu
ency
159,8
97
79
,958
79
,939
24,75
7
49,09
2
22
,705
81,15
4
10
9,654
1,151
1.0
00
0.4
58
0.44
8
0.
010
60.4
32
.2 7.4
48
,931
-
15
Pulling Apart or Pooling Together?
Emba
kasi
Wes
t Co
nstitu
ency
157,2
32
72
,544
84
,688
23,14
4
47,26
0
24
,332
79,31
1
10
8,973
99
9
0.8
57
0.4
43
0.43
4
0.
009
53.1
39
.4 7.5
44
,912
Maka
dara
Co
nstitu
ency
182,3
01
92
,394
89
,907
22,97
8
48,91
2
25
,682
90,06
2
13
0,801
2,588
1.0
28
0.3
94
0.37
4
0.
020
63.5
30
.4 6.1
58
,834
Kamu
kunji
Co
nstitu
ency
202,0
62
105,1
60
96
,902
29,10
3
60,02
3
32
,561
1
04,58
6
13
9,467
2,572
1.0
85
0.4
49
0.43
0
0.
018
61.7
28
.2
10.1
58,89
6
Star
ehe
Cons
tituen
cy
15
9,330
81,50
4
77,82
6
19
,010
41
,709
22,60
7
81
,383
115,2
78
2,3
43
1.047
0.382
0.
362
0.02
0 64
.0
27.8
8.3
49,63
6
Matha
re
Cons
tituen
cy
19
1,911
10
0,948
90,96
3
31
,247
61
,830
26,88
4
95
,555
128,5
68
1,513
1.1
10
0.4
93
0.48
1
0.
012
66.0
28
.5 5.5
63
180
Nyan
daru
a Co
unty
589,3
20
288,5
69
300,7
51
101,6
16
253,3
53
131,4
69
1
87,53
6
30
9,605
26
,362
0.959
0.903
0.
818
0.08
5 43
.0
42.2
14
.9
14
0,745
Kina
ngop
Co
nstitu
ency
189,7
14
92
,922
96
,792
33,45
9
82,67
0
42
,034
61,74
1
99,90
0
7,1
44
0.960
0.899
0.
828
0.07
2 41
.2
42.7
16
.1 44
537
Kipip
iri
Cons
tituen
cy
94,82
0
46,06
3
48,75
7
16
,617
42
,559
22,00
1
28
,361
47
,033
5,228
0.9
45
1.0
16
0.90
5
0.
111
40.4
42
.0
17.6
2180
4
Ol K
alou
Cons
tituen
cy
11
8,903
58,45
1
60,45
2
21
,118
51
,869
26,45
6
37
,623
61
,789
5,245
0.9
67
0.9
24
0.83
9
0.
085
42.5
41
.5
16.0
2688
0
Ol Jo
rok
Cons
tituen
cy
94,41
5
46,52
2
47,89
3
15
,600
38
,987
20,79
1
31
,126
51
,475
3,953
0.9
71
0.8
34
0.75
7
0.
077
46.1
42
.0
11.9
2414
4
Ndar
agwa
Co
nstitu
ency
91
,468
44
,611
46
,857
14,82
2
37,26
8
20
,187
28,68
5
49,40
8
4,7
92
0.952
0.851
0.
754
0.09
7 46
.0
42.3
11
.7 23
380
Nyer
i Cou
nty
67
9,236
33
1,356
34
7,880
92
,013
229,3
02
127,9
81
2
30,37
9
40
5,204
44
,730
0.953
0.676
0.
566
0.11
0 55
.4
37.9
6.7
199,4
76
Tetu
Co
nstitu
ency
78
,023
37
,642
40
,381
10,05
6
25,75
4
15
,085
24,68
7
45,78
5
6,4
84
0.932
0.704
0.
562
0.14
2 50
.0
42.5
7.6
2142
8
Kien
i Co
nstitu
ency
172,9
97
87
,034
85
,963
25,44
2
62,73
2
33
,394
60,20
8
10
1,984
8,2
81
1.012
0.696
0.
615
0.08
1 55
.4
37.6
7.1
5089
8
Mathi
ra
Cons
tituen
cy
14
7,267
71,09
3
76,17
4
18
,953
47
,644
27,04
2
48
,714
88
,420
11
,203
0.933
0.666
0.
539
0.12
7 55
.6
38.0
6.3
4343
7
Otha
ya
Cons
tituen
cy
85,65
3
40,85
8
44,79
5
11
,282
29
,053
16,92
8
27
,711
50
,101
6,499
0.9
12
0.7
10
0.58
0
0.
130
51.6
40
.8 7.6
23
907
Muku
rwe-
Ini
Cons
tituen
cy
83,64
0
40,25
7
43,38
3
11
,055
29
,191
16,73
6
24
,747
46
,977
7,472
0.9
28
0.7
80
0.62
1
0.
159
53.3
39
.6 7.1
23
850
Nyer
i Tow
n Co
nstitu
ency
111,6
56
54
,472
57
,184
15,22
5
34,92
8
18
,796
44,31
2
71,93
7
4,7
91
0.953
0.552
0.
486
0.06
7 62
.1
32.5
5.4
3595
6
Kirin
yaga
Co
unty
521,0
25
256,5
39
264,4
86
70,67
2
17
2,137
89
,441
1
87,36
4
32
0,821
28
,067
0.970
0.624
0.
537
0.08
7 54
.8
39.6
5.6
152,6
46
Mwea
Co
nstitu
ency
187,3
99
93
,911
93
,488
27,13
6
63,99
5
31
,896
70,58
8
11
4,994
8,4
10
1.005
0.630
0.
557
0.07
3 55
.5
38.4
6.1
5509
8
-
16
Exploring Kenya’s Inequality
A PUBLICATION OF KNBS AND SID
Gich
ugu
Cons
tituen
cy
12
3,749
60,79
9
62,95
0
15
,950
39
,266
20,68
9
43
,036
77
,165
7,318
0.9
66
0.6
04
0.50
9
0.
095
53.5
41
.8 4.7
35
870
Ndia
Co
nstitu
ency
98
,905
48
,022
50
,883
13,29
2
33,16
2
17
,862
33,85
4
59,59
1
6,1
52
0.944
0.660
0.
556
0.10
3 55
.6
38.5
5.9
2923
3
Kirin
yaga
Ce
ntral
Co
nstitu
ency
110,9
72
53
,807
57
,165
14,29
4
35,71
4
18
,994
39,88
6
69,07
1
6,1
87
0.941
0.607
0.
517
0.09
0 54
.5
39.9
5.6
3244
5
Mura
nga
Coun
ty
93
5,578
45
3,986
48
1,592
13
8,366
34
9,267
19
3,438
295
,611
522,1
03
64,20
8
0.9
43
0.7
92
0.66
9
0.
123
49.8
40
.4 9.7
25
2,176
Kang
ema
Cons
tituen
cy
76,33
3
36,55
4
39,77
9
10
,263
26
,690
15,29
0
23
,665
43
,456
6,187
0.9
19
0.7
57
0.61
4
0.
142
53.0
39
.8 7.3
21
719
Mathi
oya
Cons
tituen
cy
87,87
7
41,93
8
45,93
9
12
,281
31
,495
18,34
9
27
,095
49
,404
6,978
0.9
13
0.7
79
0.63
7
0.
141
51.8
39
.9 8.2
24
489
Kiha
ru
Cons
tituen
cy
17
8,322
85,96
9
92,35
3
24
,831
63
,730
36,05
7
56
,210
101,2
25
13
,367
0.931
0.762
0.
630
0.13
2 53
.4
38.8
7.8
5075
1
Kigu
mo
Cons
tituen
cy
12
3,396
59,61
6
63,78
0
18
,263
46
,008
25,87
2
39
,128
68
,808
8,580
0.9
35
0.7
93
0.66
9
0.
125
48.5
42
.2 9.4
32
872
Mara
gwa
Cons
tituen
cy
15
0,671
73,84
4
76,82
7
23
,900
59
,770
32,21
8
47
,730
82
,542
8,359
0.9
61
0.8
25
0.72
4
0.
101
48.4
40
.2
11.3
3963
8
Kand
ara
Cons
tituen
cy
15
6,048
75,44
9
80,59
9
23
,084
58
,712
32,14
4
48
,392
85
,846
11
,490
0.936
0.818
0.
684
0.13
4 47
.1
42.8
10
.1 40
704
Gatan
ga
Cons
tituen
cy
16
2,931
80,61
6
82,31
5
25
,744
62
,862
33,50
8
53
,391
90
,822
9,247
0.9
79
0.7
94
0.69
2
0.
102
47.9
39
.6
12.5
4200
3
Kiam
bu C
ounty
1,6
02,75
4
79
1,494
81
1,260
24
2,291
55
3,032
28
1,607
632
,816
991,7
31
57,99
1
0.9
76
0.6
16
0.55
8
0.
058
54.3
37
.2 8.5
45
6,310
Gatun
du S
outh
Co
nstitu
ency
113,8
64
54
,799
59
,065
16,41
0
42,74
2
23
,725
35,95
4
63,58
5
7,5
37
0.928
0.791
0.
672
0.11
9 46
.7
43.0
10
.4 29
618
Gatun
du N
orth
Co
nstitu
ency
100,1
19
48
,414
51
,705
14,74
3
38,00
4
20
,888
31,74
4
55,61
7
6,4
98
0.936
0.800
0.
683
0.11
7 44
.8
43.1
12
.1 24
960
Juja
Co
nstitu
ency
117,1
38
59
,285
57
,853
18,42
3
40,78
7
19
,458
49,39
5
74,28
8
2,0
63
1.025
0.577
0.
549
0.02
8 60
.3
33.6
6.1
3680
5
Thika
Town
Co
nstitu
ency
159,9
79
80
,201
79
,778
23,83
0
51,74
2
25
,651
70,55
6
10
5,492
2,7
45
1.005
0.517
0.
490
0.02
6 63
.1
30.6
6.3
5142
1
Ruiru
Co
nstitu
ency
198,3
44
98
,462
99
,882
31,28
1
64,19
8
29
,461
93,94
2
13
1,978
2,1
68
0.986
0.503
0.
486
0.01
6 62
.1
32.4
5.5
6370
1
Githu
ngur
i Co
nstitu
ency
146,3
73
72
,104
74
,269
21,07
3
51,34
2
27
,496
49,94
8
86,04
4
8,9
87
0.971
0.701
0.
597
0.10
4 47
.9
42.9
9.3
3884
5
Kiam
bu
Cons
tituen
cy
10
7,153
52,70
6
54,44
7
15
,379
34
,635
17,97
6
44
,238
68
,972
3,546
0.9
68
0.5
54
0.50
2
0.
051
55.1
37
.1 7.8
31
187
Kiam
baa
Cons
tituen
cy
14
4,582
72,17
3
72,40
9
22
,108
47
,329
22,88
5
61
,215
92
,843
4,410
0.9
97
0.5
57
0.51
0
0.
047
54.9
36
.7 8.4
41
543
-
17
Pulling Apart or Pooling Together?
Kabe
te
Cons
tituen
cy
13
9,421
68,67
9
70,74
2
20
,647
45
,075
22,59
1
57
,321
89
,666
4,680
0.9
71
0.5
55
0.50
3
0.
052
54.1
39
.2 6.8
40
275
Kiku
yu
Cons
tituen
cy
12
3,562
60,06
0
63,50
2
18
,279
41
,022
20,82
6
50
,070
78
,234
4,306
0.9
46
0.5
79
0.52
4
0.
055
54.2
37
.9 7.8
35
459
Limur
u Co
nstitu
ency
129,6
09
64
,480
65
,129
20,53
7
47,78
7
24
,582
47,38
4
76,66
4
5,1
58
0.990
0.691
0.
623
0.06
7 48
.0
38.2
13
.9 32
228
Lari
Cons
tituen
cy
12
2,610
60,13
1
62,47
9
19
,581
48
,369
26,06
8
41
,049
68
,348
5,893
0.9
62
0.7
94
0.70
8
0.
086
44.4
41
.9
13.7
3026
8
Momb
asa
Coun
ty
92
0,121
47
3,774
44
6,347
14
7,528
30
6,763
14
7,705
418
,935
598,0
21
15,33
7
1.0
61
0.5
39
0.51
3
0.
026
59.2
30
.4
10.3
265,9
97
Chan
gamw
e Co
nstitu
ency
131,3
75
69
,370
62
,005
20,55
5
41,42
7
18
,893
63,41
9
88,35
8
1,5
90
1.119
0.487
0.
469
0.01
8 64
.4
28.9
6.8
4186
1
Jomv
u Co
nstitu
ency
114,8
64
59
,243
55
,621
20,09
3
40,42
3
17
,858
52,42
6
72,99
5
1,4
46
1.065
0.574
0.
554
0.02
0 61
.4
29.5
9.1
3483
1
Kisa
uni
Cons
tituen
cy
18
8,144
95,63
2
92,51
2
32
,738
67
,603
31,33
0
83
,624
118,0
29
2,512
1.0
34
0.5
94
0.57
3
0.
021
56.4
32
.2
11.4
5218
2
Nyali
Co
nstitu
ency
183,4
11
95
,274
88
,137
28,70
0
59,39
1
28
,420
84,81
8
12
1,221
2,7
99
1.081
0.513
0.
490
0.02
3 60
.7
30.0
9.3
5457
0
Likon
i Co
nstitu
ency
164,4
49
86
,385
78
,064
28,53
1
57,25
0
25
,771
77,11
5
10
5,162
2,0
37
1.107
0.564
0.
544
0.01
9 61
.9
28.8
9.3
4970
2
Mvita
Co
nstitu
ency
137,8
78
67
,870
70
,008
16,91
1
40,66
9
25
,433
57,53
3
92,25
6
4,9
53
0.969
0.495
0.
441
0.05
4 48
.4
33.6
18
.0 32
851
Kwale
Cou
nty
64
2,609
31
2,157
33
0,452
13
7,262
30
5,104
14
3,333
206
,313
315,9
48
21,55
7
0.9
45
1.0
34
0.96
6
0.
068
31.5
36
.5
31.9
119,3
72
Msab
weni
Co
nstitu
ency
131,5
33
66
,705
64
,828
23,60
9
52,36
3
26
,028
50,29
1
75,65
8
3,5
12
1.029
0.739
0.
692
0.04
6 49
.1
33.0
18
.0 32
121
Lung
a Lun
ga
Cons
tituen
cy
15
2,991
73,50
1
79,49
0
35
,081
76
,575
34,09
8
45
,487
70
,994
5,422
0.9
25
1.1
55
1.07
9
0.
076
25.5
38
.3
36.2
2668
0
Matug
a Co
nstitu
ency
149,4
65
73
,224
76
,241
30,03
2
68,47
9
33
,616
48,54
3
75,78
4
5,2
02
0.960
0.972
0.
904
0.06
9 29
.8
38.7
31
.6 27
745
Kina
ngo
Cons
tituen
cy
20
8,620
98,72
7
10
9,893
48
,540
107,6
87
49,59
1
61
,992
93
,512
7,421
0.8
98
1.2
31
1.15
2
0.
079
20.8
36
.7
42.5
3282
6
Kilifi
Cou
nty
1,098
,603
528,8
15
569,7
88
227,4
35
515,1
40
249,8
16
3
59,45
0
54
4,445
39
,018
0.928
1.018
0.
946
0.07
2 32
.4
31.6
36
.0
19
0,729
Kilifi
Nor
th
Cons
tituen
cy
20
3,628
99,92
9
10
3,699
40
,699
92
,438
45,92
6
70
,725
104,6
75
6,515
0.9
64
0.9
45
0.88
3
0.
062
35.3
30
.3
34.4
3561
8
Kilifi
Sou
th
Cons
tituen
cy
17
0,204
82,70
8
87,49
6
33
,237
76
,143
36,93
6
59
,646
88
,829
5,232
0.9
45
0.9
16
0.85
7
0.
059
40.9
33
.5
25.5
3580
8
Kalol
eni
Cons
tituen
cy
15
4,285
72,89
0
81,39
5
33
,226
74
,102
35,77
3
47
,342
73
,443
6,740
0.8
96
1.1
01
1.00
9
0.
092
25.7
32
.2
42.1
2445
5
-
18
Exploring Kenya’s Inequality
A PUBLICATION OF KNBS AND SID
Raba
i Co
nstitu
ency
96
,658
46
,121
50
,537
18,94
8
43,23
8
21
,427
31,65
0
49,46
7
3,9
53
0.913
0.954
0.
874
0.08
0 27
.3
33.0
39
.8 15
879
Ganz
e Co
nstitu
ency
137,3
85
62
,868
74
,517
31,04
7
72,69
8
35
,053
36,89
5
58,92
4
5,7
63
0.844
1.332
1.
234
0.09
8 18
.0
32.3
49
.8 19
838
Malin
di
Cons
tituen
cy
16
0,970
79,13
5
81,83
5
30
,639
68
,257
33,57
0
60
,057
88
,136
4,577
0.9
67
0.8
26
0.77
4
0.
052
44.1
29
.6
26.2
3318
2
Maga
rini
Cons
tituen
cy
17
5,473
85,16
4
90,30
9
39
,639
88
,264
41,13
1
53
,135
80
,971
6,238
0.9
43
1.1
67
1.09
0
0.
077
22.5
31
.1
46.5
2594
9
Tana
Rive
r Co
unty
238,6
88
118,6
85
120,0
03
57,37
1
12
1,690
52
,258
72,55
7
11
0,044
6,954
0.9
89
1.1
69
1.10
6
0.
063
28.6
42
.4
29.1
45,22
7
Garse
n Co
nstitu
ency
96
,287
48
,407
47
,880
21,91
3
48,29
6
21
,862
29,12
6
44,97
5
3,0
16
1.011
1.141
1.
074
0.06
7 27
.9
41.8
30
.3 17
972
Galol
e Co
nstitu
ency
60
,362
29
,050
31
,312
15,14
1
31,39
9
13
,105
18,09
8
27,39
1
1,5
72
0.928
1.204
1.
146
0.05
7 28
.2
42.6
29
.2 11
324
Bura
Co
nstitu
ency
82
,039
41
,228
40
,811
20,31
7
41,99
5
17
,291
25,33
3
37,67
8
2,3
66
1.010
1.177
1.
115
0.06
3 29
.6
42.8
27
.6 15
931
Lamu
Cou
nty
99,46
6
51,39
3
48,07
3
18
,618
42
,158
20,93
3
34
,090
53
,848
3,4
60
1.069
0.847
0.
783
0.06
4 39
.8
36.2
24
.1
21
,058
Lamu
Eas
t Co
nstitu
ency
18
,539
9,3
33
9,2
06
3,3
57
7,7
29
3,9
54
6,02
9
10,04
3
767
1.014
0.846
0.
770
0.07
6 30
.6
38.2
31
.2 35
22
Lamu
Wes
t Co
nstitu
ency
80
,927
42
,060
38
,867
15,26
1
34,42
9
16
,979
28,06
1
43,80
5
2,6
93
1.082
0.847
0.
786
0.06
1 41
.6
35.7
22
.6 17
536
Taita
-Tave
ta
Coun
ty
27
4,828
13
8,372
13
6,456
44
,798
106,3
34
56,70
5
92
,085
154,2
29
14,26
5
1.0
14
0.7
82
0.68
9
0.
092
48.4
37
.2
14.4
70,28
3
Tave
ta
Cons
tituen
cy
66,95
4
34,50
3
32,45
1
12
,071
27
,683
13,65
5
23
,113
36
,759
2,512
1.0
63
0.8
21
0.75
3
0.
068
43.5
40
.2
16.4
1611
5
Wun
dany
i Co
nstitu
ency
56
,991
28
,601
28
,390
8,4
23
20
,970
12,07
0
18
,337
32
,306
3,715
1.0
07
0.7
64
0.64
9
0.
115
47.8
37
.0
15.2
1442
6
Mwata
te
Cons
tituen
cy
68,13
6
34,03
3
34,10
3
10
,777
26
,211
14,18
0
21
,322
37
,746
4,179
0.9
98
0.8
05
0.69
4
0.
111
49.5
37
.4
13.1
1793
5
Voi
Cons
tituen
cy
82,74
7
41,23
5
41,51
2
13
,527
31
,470
16,80
0
29
,313
47
,418
3,859
0.9
93
0.7
45
0.66
4
0.
081
51.7
35
.0
13.4
2180
7
Marsa
bit
Coun
ty
28
8,413
14
8,814
13
9,599
54
,859
135,1
04
74,39
8
94
,192
141,2
36
12,07
3
1.0
66
1.0
42
0.95
7
0.
085
28.7
41
.4
29.9
53,59
9
Moya
le
Cons
tituen
cy
10
2,905
53,57
5
49,33
0
18
,898
50
,810
30,02
0
33
,407
48
,576
3,519
1.0
86
1.1
18
1.04
6
0.
072
17.2
37
.7
45.1
1569
3
North
Hor
r Co
nstitu
ency
74
,669
40
,892
33
,777
11,96
7
31,11
7
18
,324
25,98
6
39,66
4
3,8
88
1.211
0.883
0.
785
0.09
8 31
.8
44.4
23
.8 15
131
Saku
Co
nstitu
ency
45
,893
22
,802
23
,091
8,6
92
20
,973
11,58
6
15
,049
22
,905
2,015
0.9
87
1.0
04
0.91
6
0.
088
35.1
40
.6
24.4
9482
-
19
Pulling Apart or Pooling Together?
Laisa
mis
Cons
tituen
cy
64,94
6
31,54
5
33,40
1
15
,302
32
,204
14,46
8
19
,750
30
,091
2,651
0.9
44
1.1
58
1.07
0
0.
088
34.1
42
.8
23.0
1329
3
Isiolo
Cou
nty
13
9,396
70,41
4
68,98
2
27
,743
62
,943
32,10
6
47
,020
71
,260
5,1
93
1.021
0.956
0.
883
0.07
3 39
.5
40.3
20
.2
30
,877
Isiolo
Nor
th
Cons
tituen
cy
96,69
9
47,46
7
49,23
2
19
,740
44
,110
21,93
0
32
,687
49
,154
3,435
0.9
64
0.9
67
0.89
7
0.
070
42.1
39
.2
18.6
2214
9
Isiolo
Sou
th
Cons
tituen
cy
42,69
7
22,94
7
19,75
0
8,003
18,83
3
10
,176
14,33
3
22,10
6
1,7
58
1.162
0.931
0.
852
0.08
0 32
.9
43.1
24
.0 87
28
Meru
Cou
nty
1,337
,483
659,8
36
677,6
47
229,9
22
535,1
70
272,9
12
4
69,93
9
74
3,359
58
,954
0.974
0.799
0.
720
0.07
9 41
.5
42.2
16
.4
31
1,265
Igemb
e Sou
th
Cons
tituen
cy
13
2,215
65,58
7
66,62
8
24
,427
55
,811
27,87
9
48
,932
72
,039
4,365
0.9
84
0.8
35
0.77
5
0.
061
38.8
42
.7
18.5
2972
9
Igemb
e Cen
tral
Cons
tituen
cy
19
1,762
94,87
0
96,89
2
37
,342
85
,478
42,57
5
67
,770
99
,775
6,509
0.9
79
0.9
22
0.85
7
0.
065
31.5
42
.9
25.6
3839
5
Igemb
e Nor
th
Cons
tituen
cy
15
3,984
75,30
9
78,67
5
30
,716
71
,944
36,65
8
52
,339
76
,987
5,053
0.9
57
1.0
00
0.93
4
0.
066
27.7
42
.5
29.7
2914
8
Tigan
ia W
est
Cons
tituen
cy
13
4,059
63,85
8
70,20
1
25
,163
58
,921
29,51
6
42
,400
68
,663
6,475
0.9
10
0.9
52
0.85
8
0.
094
32.9
46
.7
20.4
2813
2
Tigan
ia Ea
st
Cons
tituen
cy
15
6,762
75,79
8
80,96
4
30
,493
71
,235
35,48
8
50
,418
78
,834
6,693
0.9
36
0.9
89
0.90
4
0.
085
30.2
44
.7
25.1
3089
2
North
Imen
ti Co
nstitu
ency
144,2
75
71
,920
72
,355
20,03
7
46,73
6
25
,026
56,77
8
91,05
8
6,4
81
0.994
0.584
0.
513
0.07
1 53
.1
38.4
8.5
4031
4
Buur
i Co
nstitu
ency
133,4
20
67
,124
66
,296
20,10
2
46,91
1
23
,721
48,63
9
80,51
3
5,9
96
1.012
0.657
0.
583
0.07
4 55
.2
37.6
7.2
3882
6
Centr
al Im
enti
Cons
tituen
cy
11
5,222
57,33
2
57,89
0
16
,644
38
,962
20,18
3
39
,761
68
,961
7,299
0.9
90
0.6
71
0.56
5
0.
106
46.6
44
.2 9.2
29
562
South
Imen
ti Co
nstitu
ency
175,7
84
88
,038
87
,746
24,99
8
59,17
2
31
,866
62,90
2
10
6,529
10,08
3
1.0
03
0.6
50
0.55
5
0.
095
48.0
42
.3 9.7
46
267
Thar
aka N
ithi
Coun
ty
36
0,111
17
5,996
18
4,115
60
,089
140,4
89
72,51
2
119
,866
200,4
35
19,18
7
0.9
56
0.7
97
0.70
1
0.
096
43.0
42
.8
14.3
86,79
0
Maar
a Co
nstitu
ency
105,0
39
52
,536
52
,503
15,06
6
36,49
9
19
,597
34,43
2
61,87
5
6,6
65
1.001
0.698
0.
590
0.10
8 47
.7
43.2
9.1
2767
4
Chuk
a/Iga
mban
gomb
e Co
nstitu
ency
126,4
79
61
,190
65
,289
20,30
9
47,92
7
25
,226
42,16
0
71,67
8
6,8
74
0.937
0.765
0.
669
0.09
6 47
.4
41.9
10
.7 32
892
Thar
aka
Cons
tituen
cy
12
8,593
62,27
0
66,32
3
24
,714
56
,063
27,68
9
43
,274
66
,882
5,648
0.9
39
0.9
23
0.83
8
0.
084
32.4
43
.3
24.4
2622
4
Embu
Cou
nty
50
8,356
25
0,123
25
8,233
79
,241
191,6
97
101,5
81
1
73,68
0
29
0,221
26
,438
0.969
0.752
0.
661
0.09
1 45
.8
41.7
12
.6
12
8,079
Many
atta
Cons
tituen
cy
15
0,534
73,91
7
76,61
7
20
,630
51
,055
28,14
6
55
,528
92
,313
7,166
0.9
65
0.6
31
0.55
3
0.
078
51.2
39
.2 9.6
40
830
-
20
Exploring Kenya’s Inequality
A PUBLICATION OF KNBS AND SID
Runy
enjes
Co
nstitu
ency
141,3
27
69
,701
71
,626
19,51
5
49,85
4
27
,469
47,14
6
83,14
2
8,3
31
0.973
0.700
0.
600
0.10
0 46
.3
43.9
9.8
3651
0
Mbee
re S
outh
Co
nstitu
ency
128,5
44
64
,321
64
,223
22,73
3
53,13
8
26
,930
42,62
8
68,85
4
6,5
52
1.002
0.867
0.
772
0.09
5 40
.8
42.1
17
.1 29
929
Mbee
re N
orth
Co
nstitu
ency
87
,951
42
,184
45
,767
16,36
3
37,65
0
19
,036
28,37
8
45,91
2
4,3
89
0.922
0.916
0.
820
0.09
6 41
.5
41.9
16
.6 20
810
Kitui
Cou
nty
99
5,267
47
1,797
52
3,470
19
4,041
46
6,947
24
1,446
297
,145
475,7
54
52,56
6
0.9
01
1.0
92
0.98
1
0.
110
31.8
42
.4
25.8
201,6
92
Mwing
i Nor
th
Cons
tituen
cy
13
8,956
64,62
4
74,33
2
30
,440
69
,242
33,74
1
39
,836
62
,836
6,878
0.8
69
1.2
11
1.10
2
0.
109
26.5
41
.9
31.6
2577
8
Mwing
i Wes
t Co
nstitu
ency
120,0
17
56
,003
64
,014
22,19
8
54,99
1
30
,548
37,81
5
59,00
3
6,0
23
0.875
1.034
0.
932
0.10
2 37
.2
41.9
20
.8 26
387
Mwing
i Cen
tral
Cons
tituen
cy
12
0,704
57,02
0
63,68
4
25
,269
58
,595
28,67
4
34
,925
55
,878
6,231
0.8
95
1.1
60
1.04
9
0.
112
32.2
40
.6
27.2
2422
8
Kitui
Wes
t Co
nstitu
ency
100,2
07
46
,914
53
,293
17,26
1
45,17
4
26
,041
30,03
4
49,31
2
5,7
21
0.880
1.032
0.
916
0.11
6 35
.1
45.5
19
.4 21
979
Kitui
Rur
al
Cons
tituen
cy
10
3,183
49,73
6
53,44
7
18
,703
47
,823
25,70
4
30
,429
49
,381
5,979
0.9
31
1.0
90
0.96
8
0.
121
31.7
43
.7
24.6
2113
2
Kitui
Cen
tral
Cons
tituen
cy
12
5,420
60,32
2
65,09
8
20
,916
52
,384
29,90
2
41
,544
66
,196
6,840
0.9
27
0.8
95
0.79
1
0.
103
39.0
42
.6
18.4
2841
5
Kitui
Eas
t Co
nstitu
ency
122,3
40
58
,578
63
,762
24,97
5
57,69
4
28
,098
35,78
8
57,81
7
6,8
29
0.919
1.116
0.
998
0.11
8 28
.0
42.6
29
.4 23
551
Kitui
Sou
th
Cons
tituen
cy
16
4,440
78,60
0
85,84
0
34
,279
81
,044
38,73
8
46
,774
75
,331
8,065
0.9
16
1.1
83
1.07
6
0.
107
25.3
41
.3
33.4
3022
2
Mach
akos
Co
unty
1,0
84,63
1
53
5,404
54
9,227
17
5,652
42
7,023
23
3,096
374
,537
603,3
16
54,29
2
0.9
75
0.7
98
0.70
8
0.
090
42.3
42
.6
15.1
260,7
80
Masin
ga
Cons
tituen
cy
12
5,222
60,64
3
64,57
9
22
,546
55
,880
30,30
2
38
,799
63
,033
6,309
0.9
39
0.9
87
0.88
7
0.
100
33.7
45
.5
20.9
2689
2
Yatta
Co
nstitu
ency
145,1
59
69
,960
75
,199
25,55
2
62,91
6
34
,131
46,22
5
74,91
9
7,3
24
0.930
0.938
0.
840
0.09
8 38
.2
42.9
19
.0 32
655
Kang
undo
Co
nstitu
ency
93
,776
45
,897
47
,879
14,65
8
35,77
4
19
,902
30,17
0
51,80
9
6,1
93
0.959
0.810
0.
690
0.12
0 37
.6
48.3
14
.1 21
841
Matun
gulu
Co
nstitu
ency
123,6
00
61
,576
62
,024
20,84
3
49,43
4
25
,535
41,19
4
68,01
9
6,1
47
0.993
0.817
0.
727
0.09
0 37
.4
45.8
16
.8 28
183
Kathi
ani
Cons
tituen
cy
10
3,868
49,78
5
54,08
3
17
,485
43
,258
23,37
4
32
,589
54
,639
5,971
0.9
21
0.9
01
0.79
2
0.
109
34.9
48
.6
16.5
2316
3
Mavo
ko
Cons
tituen
cy
13
6,181
73,94
2
62,23
9
20
,632
42
,134
19,19
5
64
,828
92
,360
1,687
1.1
88
0.4
74
0.45
6
0.
018
64.7
28
.4 6.9
44
156
Mach
akos
Town
Co
nstitu
ency
195,0
29
95
,359
99
,670
28,97
2
71,15
1
40
,906
70,65
3
11
4,065
9,8
13
0.957
0.710
0.
624
0.08
6 44
.1
42.8
13
.2 48
438
-
21
Pulling Apart or Pooling Together?
Mwala
Co
nstitu
ency
161,7
96
78
,242
83
,554
24,96
4
66,47
6
39
,751
50,07
9
84,47
2
10,84
8
0.9
36
0.9
15
0.78
7
0.
128
34.2
47
.5
18.3
3545
2
Maku
eni
Coun
ty
87
4,323
42
4,707
44
9,616
15
3,006
38
3,245
21
1,251
275
,028
445,7
86
45,29
2
0.9
45
0.9
61
0.86
0
0.
102
34.1
42
.8
23.1
184,4
94
Mboo
ni
Cons
tituen
cy
18
3,475
87,69
8
95,77
7
30
,656
79
,455
46,21
2
56
,238
92
,964
11
,056
0.916
0.974
0.
855
0.11
9 31
.7
45.7
22
.5 38
236
Kilom
e Co
nstitu
ency
86
,468
42
,378
44
,090
14,26
4
37,06
6
21
,316
26,87
0
44,49
0
4,9
12
0.961
0.944
0.
833
0.11
0 38
.1
42.6
19
.3 19
453
Kaiti
Co
nstitu
ency
119,5
11
56
,828
62
,683
20,30
6
52,29
1
29
,924
36,00
0
59,83
9
7,3
81
0.907
0.997
0.
874
0.12
3 31
.8
44.9
23
.3 24
726
Maku
eni
Cons
tituen
cy
19
0,865
92,68
0
98,18
5
32
,863
83
,070
46,78
2
61
,084
98
,065
9,730
0.9
44
0.9
46
0.84
7
0.
099
31.6
43
.4
25.0
3872
0
Kibw
ezi W
est
Cons
tituen
cy
16
3,590
80,47
2
83,11
8
29
,901
72
,105
37,30
8
53
,986
84
,845
6,640
0.9
68
0.9
28
0.85
0
0.
078
38.1
40
.0
22.0
3602
8
Kibw
ezi E
ast
Cons
tituen
cy
13
0,414
64,65
1
65,76
3
25
,016
59
,258
29,70
9
40
,850
65
,583
5,573
0.9
83
0.9
89
0.90
4
0.
085
35.2
39
.8
25.0
2733
1
Garis
sa C
ounty
476,6
27
257,0
19
219,6
08
80,86
6
22
9,976
13
5,449
162
,094
235,7
42
10,90
9
1.1
70
1.0
22
0.97
6
0.
046
15.7
34
.7
49.6
69,36
9
Garis
sa
Town
ship
Co
nstitu
ency
113,8
02
58
,107
55
,695
20,50
2
49,57
1
28
,191
42,95
2
60,81
0
3,4
21
1.043
0.871
0.
815
0.05
6 29
.2
34.5
36
.3 19
858
Balam
bala
Co
nstitu
ency
72
,951
40
,597
32
,354
11,74
2
35,70
6
21
,846
24,71
8
35,66
5
1,5
80
1.255
1.045
1.
001
0.04
4 13
.2
34.3
52
.6 10
666
Lagd
era
Cons
tituen
cy
92,23
5
51,45
4
40,78
1
13
,271
45
,698
29,44
6
29
,534
44
,953
1,584
1.2
62
1.0
52
1.01
7
0.
035
3.3
29.1
67
.6 11
674
Dada
ab
Cons
tituen
cy
68,73
6
37,44
7
31,28
9
12
,334
33
,542
18,60
0
23
,393
33
,656
1,538
1.1
97
1.0
42
0.99
7
0.
046
13.5
38
.8
47.7
9244
Fafi
Cons
tituen
cy
36,73
6
19,67
0
17,06
6
7,453
18,56
0
9,344
11
,795
17
,318
85
8
1.1
53
1.1
21
1.07
2
0.
050
19.5
44
.2
36.3
6085
Ijara
Co
nstitu
ency
92
,167
49
,744
42
,423
15,56
4
46,89
9
28
,022
29,70
2
43,34
0
1,9
28
1.173
1.127
1.
082
0.04
4 7.2
33
.1
59.7
1184
2
Waji
r Co
unty
657,8
55
360,5
79
297,2
76
111,6
95
341,7
60
203,0
74
2
01,16
4
30
1,730
14
,365
1.213
1.180
1.
133
0.04
8 6.4
25
.3
68.4
77,04
0
Waji
r Nor
th
Cons
tituen
cy
13
5,360
73,51
1
61,84
9
23
,649
73
,097
41,68
1
39
,372
59
,645
2,618
1.1
89
1.2
69
1.22
6
0.
044
3.0
21.4
75
.6 14
010
Waji
r Eas
t Co
nstitu
ency
111,3
50
58
,983
52
,367
20,00
6
53,28
6
31
,178
37,67
8
54,49
4
3,5
70
1.126
1.043
0.
978
0.06
6 13
.9
34.4
51
.8 15
804
Tarb
aj
Cons
tituen
cy
11
1,781
62,05
7
49,72
4
18
,182
60
,354
37,01
7
32
,128
49
,547
1,880
1.2
48
1.2
56
1.21
8
0.
038
1.6
14.9
83
.6 10
366
Waji
r Wes
t Co
nstitu
ency
90
,888
50
,494
40
,394
15,98
7
47,84
3
27
,676
27,43
9
41,05
9
1,9
86
1.250
1.214
1.
165
0.04
8 5.5
28
.7
65.8
1187
9
-
22
Exploring Kenya’s Inequality
A PUBLICATION OF KNBS AND SID
Elda
s Co
nstitu
ency
78
,871
44
,483
34
,388
12,38
6
42,54
2
27
,014
22,79
5
35,14
3
1,1
86
1.294
1.244
1.
211
0.03
4 3.2
15
.0
81.8
9187
Waji
r Sou
th
Cons
tituen
cy
12
9,605
71,05
1
58,55
4
21
,485
64
,638
38,50
8
41
,752
61
,842
3,125
1.2
13
1.0
96
1.04
5
0.
051
7.5
29.9
62
.7 15
794
Mand
era
Coun
ty
1,022
,794
557,6
47
465,1
47
173,6
59
549,2
18
331,0
30
3
01,18
7
45
4,509
19
,067
1.199
1.250
1.
208
0.04
2 3.0
17
.9
79.1
120,0
77
Mand
era W
est
Cons
tituen
cy
16
0,701
86,51
9
74,18
2
27
,611
90
,286
54,79
8
44
,098
67
,523
2,892
1.1
66
1.3
80
1.33
7
0.
043