Evaluation of the Mwangaza Mashinani Pilot Project in Kilifi and Garissa Counties, Kenya 2019-2021
Kenya, 2019 - 2021
Get MicrodataCreated on
May 11, 2022
Last modified
May 11, 2022
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Sublocation (Sample) (SUBLOC)
Data file: ml_clean_main
Overview
Valid:
943
Invalid:
281
Type:
Discrete
Decimal:
2
Width:
17
Range:
1 - 82
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. Abakaile | 11 |
1.2%
|
| 2 | 2. Abaqdera | 4 |
0.4%
|
| 3 | 3. Alinjugur | 0 |
0%
|
| 4 | 4. Bahuri | 0 |
0%
|
| 5 | 5. Balambala | 63 |
6.7%
|
| 6 | 6. Baraki | 0 |
0%
|
| 7 | 7. Baricho | 17 |
1.8%
|
| 8 | 8. Bate | 2 |
0.2%
|
| 9 | 9. Boransis | 0 |
0%
|
| 10 | 10. Bungale | 1 |
0.1%
|
| 11 | 11. Bura | 23 |
2.4%
|
| 12 | 12. Bura | 4 |
0.4%
|
| 13 | 13. Chira | 15 |
1.6%
|
| 14 | 14. Dadaab | 33 |
3.5%
|
| 15 | 15. Dakacha | 19 |
2%
|
| 16 | 16. Dangarani | 4 |
0.4%
|
| 17 | 17. Dertu | 26 |
2.8%
|
| 18 | 18. Diiso | 1 |
0.1%
|
| 19 | 19. Dujis | 26 |
2.8%
|
| 20 | 20. Dzikunze | 11 |
1.2%
|
| 21 | 21. Gandini | 15 |
1.6%
|
| 22 | 22. Gede | 1 |
0.1%
|
| 23 | 23. Goshi | 5 |
0.5%
|
| 24 | 24. Gumarey | 9 |
1%
|
| 25 | 25. Guyo | 1 |
0.1%
|
| 26 | 26. Hara | 0 |
0%
|
| 27 | 27. Hagarbul | 2 |
0.2%
|
| 28 | 28. Jambele | 4 |
0.4%
|
| 29 | 29. Jara Jara | 27 |
2.9%
|
| 30 | 30. Kaembeni | 14 |
1.5%
|
| 31 | 31. Kamuthe | 2 |
0.2%
|
| 32 | 32. Karimani | 5 |
0.5%
|
| 33 | 33. Kaya | 13 |
1.4%
|
| 34 | 34. Kayafungo | 19 |
2%
|
| 35 | 35. Keresa | 3 |
0.3%
|
| 36 | 36. Kidemu | 14 |
1.5%
|
| 37 | 37. Kisiki | 16 |
1.7%
|
| 38 | 38. Kk | 0 |
0%
|
| 39 | 39. Kumahumato | 8 |
0.8%
|
| 40 | 40. Labisigale | 6 |
0.6%
|
| 41 | 41. Libahilow | 13 |
1.4%
|
| 42 | 42. Makongeni | 42 |
4.5%
|
| 43 | 43. Mansabubu | 0 |
0%
|
| 44 | 44. Masalani | 33 |
3.5%
|
| 45 | 45. Matolani | 6 |
0.6%
|
| 46 | 46. Mbalamweni | 64 |
6.8%
|
| 47 | 47. Midoina | 0 |
0%
|
| 48 | 48. Migujini | 2 |
0.2%
|
| 49 | 49. Mikamini | 15 |
1.6%
|
| 50 | 50. Mitangani | 3 |
0.3%
|
| 51 | 51. Mitsemerini | 6 |
0.6%
|
| 52 | 52. Mnagoni | 4 |
0.4%
|
| 53 | 53. Mnyenzeni | 3 |
0.3%
|
| 54 | 54. Mrimani | 41 |
4.3%
|
| 55 | 55. Muhumed Dahir | 10 |
1.1%
|
| 56 | 56. Mwahera | 6 |
0.6%
|
| 57 | 57. Mwanamwinga | 1 |
0.1%
|
| 58 | 58. Mwangea | 6 |
0.6%
|
| 59 | 59. Myenzeni | 27 |
2.9%
|
| 60 | 60. Nambani | 13 |
1.4%
|
| 61 | 61. Nanighi | 7 |
0.7%
|
| 62 | 62. Ndugumnani | 8 |
0.8%
|
| 63 | 63. Sikley | 2 |
0.2%
|
| 64 | 64. Tsangatsini | 89 |
9.4%
|
| 65 | 65. Urgad | 0 |
0%
|
| 66 | 66. Wacho | 10 |
1.1%
|
| 67 | 67. Warable | 0 |
0%
|
| 68 | 68. Welhar | 12 |
1.3%
|
| 69 | 69. Alikune | 2 |
0.2%
|
| 70 | 70. Ashadin | 5 |
0.5%
|
| 71 | 71. Bandari | 0 |
0%
|
| 72 | 72. Dagahaley | 0 |
0%
|
| 73 | 73. Dagamra | 0 |
0%
|
| 74 | 74. Dagoob | 3 |
0.3%
|
| 75 | 75. Danyere | 6 |
0.6%
|
| 76 | 76. Kone | 21 |
2.2%
|
| 77 | 77. Miyani | 24 |
2.5%
|
| 78 | 78. Mudey | 8 |
0.8%
|
| 79 | 79. Saretho | 5 |
0.5%
|
| 80 | 80. Shidley | 0 |
0%
|
| 81 | 81. Torabora | 0 |
0%
|
| 82 | 82. Wakala | 22 |
2.3%
|
| 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.