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    Home / Central Data Catalog / KEN_2016-2018_MTF_V02_M / variable [F6]
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Multi-Tier Energy Access Tracking Framework Global Survey 2016-2018

Kenya, 2016 - 2018
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Reference ID
KEN_2016-2018_MTF_v02_M
DOI
https://doi.org/10.48529/230v-e158
Producer(s)
Energy Sector Management Assistance Program (ESMAP)
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 14, 2020
Last modified
Nov 29, 2021
Page views
60335
Downloads
2348
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • MTF_HH_Battery_Data_Final.dta
  • MTF_HH_Cooking_Data_Final.dta
  • MTF_HH_Core_Survey_Final_Data_trimmed-2.dta
  • MTF_HH_Roster.dta
  • MTF_HH_Sec.M1_Asset_Data_Final.dta
  • MTF_HH_Sec.M2_Asset_Data_Final.dta
  • MTF_HH_Sec.M3_Asset_Data_Final.dta
  • MTF_HH_Solar_Roster.dta
  • MTF_section_i_to_k.dta
  • weight.dta

County (cty)

Data file: MTF_HH_Sec.M2_Asset_Data_Final.dta

Overview

Valid: 3236
Invalid: -
Minimum: 1
Maximum: 47
Type: Discrete
Decimal: 0
Start: 34
End: 35
Width: 2
Range: 1 - 47
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Nairobi 37
1.1%
2 Nyandarua 46
1.4%
3 Nyeri 71
2.2%
4 Kirinyaga 39
1.2%
5 Muranga 111
3.4%
6 Kiambu 128
4%
7 Mombasa 0
0%
8 Kwale 84
2.6%
9 Kilifi 125
3.9%
10 Tana-River 22
0.7%
11 Lamu 5
0.2%
12 Taita Taveta 67
2.1%
13 Marsabit 82
2.5%
14 Isiolo 22
0.7%
15 Meru 119
3.7%
16 Tharaka-Nithi 36
1.1%
17 Embu 77
2.4%
18 Kitui 176
5.4%
19 Machakos 78
2.4%
20 Makueni 148
4.6%
21 Garissa 32
1%
22 Wajir 40
1.2%
23 Mandera 5
0.2%
24 Siaya 40
1.2%
25 Kisumu 59
1.8%
26 Homa Bay 45
1.4%
27 Migori 44
1.4%
28 Kisii 42
1.3%
29 Nyamira 20
0.6%
30 Turkana 83
2.6%
31 West Pokot 218
6.7%
32 Samburu 17
0.5%
33 Trans Nzoia 20
0.6%
34 Baringo 104
3.2%
35 Uasin Gishu 48
1.5%
36 Elgeyo Marakwet 31
1%
37 Nandi 51
1.6%
38 Laikipia 40
1.2%
39 Nakuru 0
0%
40 Narok 374
11.6%
41 Kajiado 135
4.2%
42 Kericho 29
0.9%
43 Bomet 61
1.9%
44 Kakamega 79
2.4%
45 Vihiga 34
1.1%
46 Bungoma 64
2%
47 Busia 48
1.5%
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.
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