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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2019-2021_MMPIE_V01_M / variable [F21]
impact_evaluation

Evaluation of the Mwangaza Mashinani Pilot Project in Kilifi and Garissa Counties, Kenya 2019-2021

Kenya, 2019 - 2021
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Reference ID
KEN_2019-2021_MMPIE_v01_M
DOI
https://doi.org/10.48529/5mac-jd89
Producer(s)
Oxford Policy Management Limited (OPML)
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 08, 2022
Last modified
Mar 08, 2022
Page views
77741
Downloads
761
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • bl_clean_main
  • bl_clean_incomeroster
  • bl_clean_lightroster
  • bl_clean_memberroster
  • bl_clean_solarroster
  • ml_clean_incomeroster
  • ml_clean_main
  • ml_clean_memberroster
  • el_clean_incomeroster
  • el_clean_lightroster
  • el_clean_main
  • el_clean_memberroster
  • el_clean_solarroster
  • el_clean_solarroster2

Location (Sample) (LOCATION)

Data file: ml_clean_main

Overview

Valid: 943
Invalid: 281
Type: Discrete
Decimal: 2
Width: 20
Range: 1 - 41
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1. Abakaile 12
1.3%
2 2. Balambala 101
10.7%
3 3. Bandari 39
4.1%
4 4. Bulushi 0
0%
5 5. Bungale 71
7.5%
6 6. Chakama 63
6.7%
7 7. Dadaab 45
4.8%
8 8. Dagahley 0
0%
9 9. Dagamra 41
4.3%
10 10. Damajale 0
0%
11 11. Danyere 8
0.8%
12 12. Dertu 22
2.3%
13 13. Diiso 0
0%
14 14. Fafi 2
0.2%
15 15. Gandini 1
0.1%
16 16. Garissa 0
0%
17 17. Hagarbul 1
0.1%
18 18. Hara 0
0%
19 19. Jarajara 26
2.8%
20 20. Kayafungo 151
16%
21 21. Kilifi 0
0%
22 22. Kulan 0
0%
23 23. Kumahumato 11
1.2%
24 24. Labisigale 14
1.5%
25 25. Libahlow 12
1.3%
26 26. Liboi 0
0%
27 27. Mansabubu 0
0%
28 28. Masalani 52
5.5%
29 29. Mitangani 19
2%
30 30. Mtsara wa tsatsu 42
4.5%
31 31. Mwahera 45
4.8%
32 32. Sikley 4
0.4%
33 33. Tsangatsini 117
12.4%
34 34. Welmerer 0
0%
35 35. Bura 10
1.1%
36 36. Nanighi 11
1.2%
37 37. Alikune 0
0%
38 38. Baraki 0
0%
39 39. Kamuthe 0
0%
40 40. Meanera 0
0%
41 41. Dujis 23
2.4%
Sysmiss 281
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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