Sahel Women Empowerment and Demographic Dividend Initiative, 2017
Baseline Survey
Mali, 2017
Get Microdata
Reference ID
MLI_2017_SWEDD-BL_v01_M
Producer(s)
Olivia Bertelli, Massa Coulibaly
Metadata
Created on
Aug 28, 2024
Last modified
Aug 28, 2024
Page views
7704
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159
À quelle école est-vous actuellement inscrite ou étiez-vous inscrite pendant l’a (f1q06)
Data file: SWEDD_MALI_BASE_FILLES
Overview
Valid:
1358
Invalid:
6105
Minimum:
1
Maximum:
99
Type:
Discrete
Decimal:
0
Width:
8
Range:
1 - 99
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | diafounou diongaga, diafounou diongaga | 4 |
0.3%
|
| 2 | guenegore, balandougou | 3 |
0.2%
|
| 3 | guenegore, guenegore | 10 |
0.7%
|
| 4 | kassama, guindinsou | 1 |
0.1%
|
| 5 | kassama, kassama | 11 |
0.8%
|
| 6 | kassama, kenioto | 4 |
0.3%
|
| 7 | kassama, tabakoto | 3 |
0.2%
|
| 8 | kassama, yatera | 6 |
0.4%
|
| 9 | kenieba, kenieba | 25 |
1.8%
|
| 10 | kenieba, lafia nord | 3 |
0.2%
|
| 11 | kenieba, somabougou | 2 |
0.1%
|
| 12 | kirane kaniaga, hamdalaye | 1 |
0.1%
|
| 13 | kirane kaniaga, hamdalaye | 0 |
0%
|
| 14 | kirane kaniaga, kersigane-kaniga | 0 |
0%
|
| 15 | kirane kaniaga, kirane | 0 |
0%
|
| 16 | toya, yaguine | 2 |
0.1%
|
| 17 | diora, diora | 28 |
2.1%
|
| 18 | diora, beni bokuy | 7 |
0.5%
|
| 19 | falo, falo | 20 |
1.5%
|
| 20 | falo, tienabougou | 5 |
0.4%
|
| 21 | kaniegue, tiebele finkan | 13 |
1%
|
| 22 | kaniegue, dioundiou | 13 |
1%
|
| 23 | lanfiala, lanfiala | 12 |
0.9%
|
| 24 | niamana, niamana | 9 |
0.7%
|
| 25 | ouan, samani | 11 |
0.8%
|
| 26 | ouan, ouan | 59 |
4.3%
|
| 27 | somasso, somasso | 21 |
1.5%
|
| 28 | somasso, kadiala | 4 |
0.3%
|
| 29 | tiemena, tiemena | 5 |
0.4%
|
| 30 | timissa, timissa | 20 |
1.5%
|
| 31 | timissa, diamakan | 5 |
0.4%
|
| 32 | tourakolomba, tourakolomba | 17 |
1.3%
|
| 33 | waki, kanaga n'pesso | 21 |
1.5%
|
| 34 | waki, waki | 65 |
4.8%
|
| 35 | san, lafiabougou | 56 |
4.1%
|
| 36 | siribala, ballabougou | 7 |
0.5%
|
| 37 | defina, defina | 7 |
0.5%
|
| 38 | kai, kai | 27 |
2%
|
| 39 | misseni, dovong | 19 |
1.4%
|
| 40 | misseni, misseni | 31 |
2.3%
|
| 41 | nimbougou, nimbougou | 22 |
1.6%
|
| 42 | sibirila, bamba | 2 |
0.1%
|
| 43 | sibirila, banzana | 2 |
0.1%
|
| 44 | sibirila, manankoro sanankourouni | 10 |
0.7%
|
| 45 | sibirila, sanankourouni | 5 |
0.4%
|
| 46 | yiridougou, ouroumpana | 27 |
2%
|
| 47 | yiridougou, sirakoro | 4 |
0.3%
|
| 98 | autre commune : preciser | 519 |
38.2%
|
| 99 | autre village : preciser | 210 |
15.5%
|
| Sysmiss | 6105 |
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.