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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2019-2021_MMPIE_V01_M / variable [F20]
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
78000
Downloads
767
  • Study Description
  • Data Description
  • Documentation
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  • 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

How much does [NAME] earn from [TYPE OF WORK] in the last 30 days (in KSHS)? (WORKPAY)

Data file: ml_clean_incomeroster

Overview

Valid: 5173
Invalid: 0
Type: Discrete
Decimal: 2
Width: 16
Range: -999 - 2147483645
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-999 3258
63%
-99 -99. Do not know 0
0%
-98 -98. Refused 0
0%
0 1087
21%
4 1
0%
9 2
0%
10 3
0.1%
20 5
0.1%
30 1
0%
40 2
0%
50 7
0.1%
60 1
0%
98 2
0%
99 92
1.8%
100 9
0.2%
130 1
0%
150 4
0.1%
200 23
0.4%
210 1
0%
240 1
0%
250 1
0%
300 20
0.4%
350 1
0%
400 8
0.2%
450 1
0%
500 37
0.7%
600 21
0.4%
700 7
0.1%
800 15
0.3%
900 4
0.1%
999 4
0.1%
1000 35
0.7%
1050 1
0%
1200 9
0.2%
1250 1
0%
1400 3
0.1%
1500 44
0.9%
1600 6
0.1%
1800 4
0.1%
1900 1
0%
2000 56
1.1%
2100 1
0%
2200 1
0%
2300 1
0%
2400 2
0%
2500 19
0.4%
2600 4
0.1%
2800 4
0.1%
2870 1
0%
3000 80
1.5%
3200 5
0.1%
3400 3
0.1%
3500 13
0.3%
3600 5
0.1%
3700 1
0%
3800 2
0%
4000 33
0.6%
4350 1
0%
4500 12
0.2%
4800 1
0%
5000 36
0.7%
5200 1
0%
5500 2
0%
6000 53
1%
6100 1
0%
7000 17
0.3%
7500 1
0%
7600 1
0%
8000 16
0.3%
8400 1
0%
8500 1
0%
9000 17
0.3%
10000 12
0.2%
11000 1
0%
12000 9
0.2%
13000 1
0%
14000 1
0%
15000 12
0.2%
17000 2
0%
18000 5
0.1%
20000 7
0.1%
25000 3
0.1%
30000 3
0.1%
60000 1
0%
82000 1
0%
2147483622 .a. NA 0
0%
2147483624 .c. Missing 0
0%
2147483625 .d. Don't know 0
0%
2147483645 .x. Inconsistent 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.
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