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    Home / Central Data Catalog / KEN_2016-2018_MTF_V02_M / variable [F2]
central

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
Producer(s)
Energy Sector Management Assistance Program (ESMAP)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
20273
Downloads
145
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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_Cooking_Data_Final.dta

Overview

Valid: 5156
Invalid: -
Minimum: 1
Maximum: 47
Mean: 21.0963925523662
Standard deviation: 14.2342675616547
Type: Discrete
Decimal: 0
Start: 34
End: 35
Width: 2
Range: 1 - 47
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Nairobi 474
9.2%
2 Nyandarua 23
0.4%
3 Nyeri 87
1.7%
4 Kirinyaga 75
1.5%
5 Muranga 113
2.2%
6 Kiambu 295
5.7%
7 Mombasa 132
2.6%
8 Kwale 160
3.1%
9 Kilifi 322
6.2%
10 Tana-River 38
0.7%
11 Lamu 34
0.7%
12 Taita Taveta 144
2.8%
13 Marsabit 65
1.3%
14 Isiolo 66
1.3%
15 Meru 131
2.5%
16 Tharaka-Nithi 46
0.9%
17 Embu 62
1.2%
18 Kitui 190
3.7%
19 Machakos 110
2.1%
20 Makueni 128
2.5%
21 Garissa 65
1.3%
22 Wajir 84
1.6%
23 Mandera 49
1%
24 Siaya 88
1.7%
25 Kisumu 140
2.7%
26 Homa Bay 64
1.2%
27 Migori 106
2.1%
28 Kisii 111
2.2%
29 Nyamira 53
1%
30 Turkana 110
2.1%
31 West Pokot 145
2.8%
32 Samburu 50
1%
33 Trans Nzoia 80
1.6%
34 Baringo 80
1.6%
35 Uasin Gishu 108
2.1%
36 Elgeyo Marakwet 47
0.9%
37 Nandi 69
1.3%
38 Laikipia 27
0.5%
39 Nakuru 274
5.3%
40 Narok 171
3.3%
41 Kajiado 100
1.9%
42 Kericho 53
1%
43 Bomet 73
1.4%
44 Kakamega 96
1.9%
45 Vihiga 56
1.1%
46 Bungoma 99
1.9%
47 Busia 63
1.2%
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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