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
Producer(s)
Oxford Policy Management Limited (OPML)
Collection(s)
Metadata
Created on
Mar 08, 2022
Last modified
Mar 08, 2022
Page views
76753
Downloads
751
Sub Location (subloc)
Data file: el_clean_main
Overview
Valid:
1114
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
6
Range:
1 - 82
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Abakaile | 10 |
0.9%
|
| 2 | Abaqdera | 4 |
0.4%
|
| 3 | Alinjugur | 0 |
0%
|
| 4 | Bahuri | 0 |
0%
|
| 5 | Balambala | 67 |
6%
|
| 6 | Baraki | 0 |
0%
|
| 7 | Baricho | 15 |
1.3%
|
| 8 | Bate | 2 |
0.2%
|
| 9 | Boransis | 0 |
0%
|
| 10 | Bungale | 2 |
0.2%
|
| 11 | Bura | 32 |
2.9%
|
| 13 | Chira | 18 |
1.6%
|
| 14 | Dadaab | 35 |
3.1%
|
| 15 | Dakacha | 23 |
2.1%
|
| 16 | Dangarani | 5 |
0.4%
|
| 17 | Dertu | 28 |
2.5%
|
| 18 | Diiso | 0 |
0%
|
| 19 | Dujis | 22 |
2%
|
| 20 | Dzikunze | 16 |
1.4%
|
| 21 | Gandini | 15 |
1.3%
|
| 22 | Gede | 2 |
0.2%
|
| 23 | Goshi | 6 |
0.5%
|
| 24 | Gumarey | 10 |
0.9%
|
| 25 | Guyo | 0 |
0%
|
| 26 | Hara | 0 |
0%
|
| 27 | Hagarbul | 2 |
0.2%
|
| 28 | Jambele | 4 |
0.4%
|
| 29 | Jara Jara | 28 |
2.5%
|
| 30 | Kaembeni | 16 |
1.4%
|
| 31 | Kamuthe | 2 |
0.2%
|
| 32 | Karimani | 6 |
0.5%
|
| 33 | Kaya | 16 |
1.4%
|
| 34 | Kayafungo | 28 |
2.5%
|
| 35 | Keresa | 3 |
0.3%
|
| 36 | Kidemu | 16 |
1.4%
|
| 37 | Kisiki | 18 |
1.6%
|
| 38 | Kk | 0 |
0%
|
| 39 | Kumahumato | 9 |
0.8%
|
| 40 | Labisigale | 8 |
0.7%
|
| 41 | Libahilow | 13 |
1.2%
|
| 42 | Makongeni | 51 |
4.6%
|
| 43 | Mansabubu | 0 |
0%
|
| 44 | Masalani | 36 |
3.2%
|
| 45 | Matolani | 8 |
0.7%
|
| 46 | Mbalamweni | 83 |
7.5%
|
| 47 | Midoina | 0 |
0%
|
| 48 | Migujini | 2 |
0.2%
|
| 49 | Mikamini | 16 |
1.4%
|
| 50 | Mitangani | 4 |
0.4%
|
| 51 | Mitsemerini | 7 |
0.6%
|
| 52 | Mnagoni | 5 |
0.4%
|
| 53 | Mnyenzeni | 6 |
0.5%
|
| 54 | Mrimani | 59 |
5.3%
|
| 55 | Muhumed Dahir | 11 |
1%
|
| 56 | Mwahera | 7 |
0.6%
|
| 57 | Mwanamwinga | 2 |
0.2%
|
| 58 | Mwangea | 6 |
0.5%
|
| 59 | Myenzeni | 32 |
2.9%
|
| 60 | Nambani | 19 |
1.7%
|
| 61 | Nanighi | 6 |
0.5%
|
| 62 | Ndugumnani | 9 |
0.8%
|
| 63 | Sikley | 1 |
0.1%
|
| 64 | Tsangatsini | 127 |
11.4%
|
| 65 | Urgad | 0 |
0%
|
| 66 | Wacho | 10 |
0.9%
|
| 67 | Warable | 0 |
0%
|
| 68 | Welhar | 12 |
1.1%
|
| 69 | Alikune | 2 |
0.2%
|
| 70 | Ashadin | 5 |
0.4%
|
| 71 | Bandari | 0 |
0%
|
| 72 | Dagahaley | 0 |
0%
|
| 73 | Dagamra | 0 |
0%
|
| 74 | Dagoob | 4 |
0.4%
|
| 75 | Danyere | 5 |
0.4%
|
| 76 | Kone | 26 |
2.3%
|
| 77 | Miyani | 29 |
2.6%
|
| 78 | Mudey | 10 |
0.9%
|
| 79 | Saretho | 5 |
0.4%
|
| 80 | Shidley | 0 |
0%
|
| 81 | Torabora | 0 |
0%
|
| 82 | Wakala | 28 |
2.5%
|
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.