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    Home / Central Data Catalog / HEALTH_AND_WELL-BEING / APHRC-ABORTION-STUDY-2012-1.01 / variable [V1206]
Health_and_Well-Being

The Epidemiology of Unsafe Abortions in Kenya, Abortion Incidence and Complication from Unsafe abortions in Kenya

KENYA, 2012
Health and Well-Being (HaW)
African Population and Health Research Center, ,
Last modified November 06, 2018 Page views 1021949 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • Health Facility
    Survey
  • Health
    Profesional
    Survey Data
  • Prospective
    Morbidity
    Survey
CSV JSON

District_Code (vq05)

Data file: Prospective Morbidity Survey

Overview

vald 3215
vald 15155.6
invd 0
invd 0
Interval discrete
Decimal 0
Range 1 - 121

Questions and instructions

Literal question
K2. DISTRICT
Categories
Value Category Cases
1 Gatundu 5
0%
2 Kiambu East 283
1.9%
3 Kiambu West 49
0.3%
4 Thika 240
1.6%
5 Kirinyaga 79
0.5%
6 Muranga North 108
0.7%
7 Muranga South 50
0.3%
8 Nyandarua North 192
1.3%
9 Nyeri North 156
1%
10 Kaloleni 62
0.4%
11 Kilifi 788
5.2%
12 Malindi 87
0.6%
13 Kinango 127
0.8%
14 Kwale 65
0.4%
15 Msambweni 21
0.1%
16 Laikipia East 207
1.4%
17 Lamu 9
0.1%
18 Mombasa 424
2.8%
19 Taita 73
0.5%
20 Taveta 3
0%
21 Tana Delta 31
0.2%
22 Embu 67
0.4%
23 Mbeere 36
0.2%
24 Kitui 33
0.2%
25 Kyuso 32
0.2%
26 Mutomo 82
0.5%
27 Mwingi 62
0.4%
28 Kangundo 13
0.1%
29 Machakos 58
0.4%
30 Mwala 33
0.2%
31 Yatta 80
0.5%
32 Kibwezi 103
0.7%
33 Makueni 100
0.7%
34 Mbooni 31
0.2%
35 Nzaui 74
0.5%
36 Igembe 134
0.9%
37 Imenti Central 6
0%
38 Imenti North 111
0.7%
39 Tigania 26
0.2%
40 Maara 11
0.1%
41 Meru South 46
0.3%
42 Tharaka 23
0.2%
43 Nairobi East 597
3.9%
44 Nairobi North 734
4.8%
45 Nairobi West 884
5.8%
46 Fafi 21
0.1%
47 Garissa 188
1.2%
48 Ijara 26
0.2%
49 Lagdera 71
0.5%
50 Garbatula 0
0%
51 Mandera Central 44
0.3%
52 Mandera East 29
0.2%
53 Mandera West 19
0.1%
54 Laisamis 0
0%
55 Wajir East 26
0.2%
56 Wajir North 29
0.2%
57 Wajir South 101
0.7%
58 Wajir West 115
0.8%
59 Homa Bay 143
0.9%
60 Rachuonyo 866
5.7%
61 Suba 102
0.7%
62 Gucha 163
1.1%
63 Gucha South 146
1%
64 Kisii Central 219
1.5%
65 Kisii South 39
0.3%
66 Masaba 77
0.5%
67 Kisumu East 213
1.4%
68 Kisumu West 24
0.2%
69 Nyando 39
0.3%
70 Kuria East 22
0.1%
71 Kuria West 167
1.1%
72 Migori 377
2.5%
73 Rongo 24
0.2%
74 Manga 142
0.9%
75 Nyamira 64
0.4%
76 Siaya 198
1.3%
77 Baringo 102
0.7%
78 Baringo North 47
0.3%
79 Bomet 81
0.5%
80 Buret 26
0.2%
81 Keiyo 363
2.4%
82 Marakwet 79
0.5%
83 Kajiado 412
2.7%
84 Loitokitok 47
0.3%
85 Kericho 73
0.5%
86 Laikipia North 47
0.3%
87 Laikipia West 39
0.3%
88 Molo 97
0.6%
89 Naivasha 86
0.6%
90 Nakuru Central 457
3%
91 Nakuru North 237
1.6%
92 Nandi East 13
0.1%
93 Nandi North 52
0.3%
94 Narok South 84
0.6%
95 Trans Mara 193
1.3%
96 Samburu East 20
0.1%
97 Samburu North 0
0%
98 Kwanza 71
0.5%
99 Trans Nzoia West 22
0.1%
100 Turkana Central 71
0.5%
101 Turkana North 15
0.1%
102 Turkana South 118
0.8%
103 Eldoret East 211
1.4%
104 Eldoret West 89
0.6%
105 West Pokot 299
2%
106 Bungoma East 102
0.7%
107 Bungoma North 153
1%
108 Bungoma South 243
1.6%
109 Bungoma West 102
0.7%
110 Mt. Elgon 27
0.2%
111 Busia 183
1.2%
112 Teso 39
0.3%
113 Butere 39
0.3%
114 Kakamega Central 260
1.7%
115 Kakamega North 126
0.8%
116 Kakamega South 11
0.1%
117 Lugari 175
1.2%
118 Mumias 16
0.1%
119 Hamisi 26
0.2%
120 Vihiga 23
0.2%
121 Kimilili 0
0%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Description

Text
Diestrict of Kenya where the facility is located
Universe
All respondents
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