Rural Youth Migration and Women’s Empowerment in Agriculture
Senegal, 2017 - 2018
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Reference ID
SEN_2017_MIG_WEAI_EN_M_v01_A_OCS
Producer(s)
Food and Agriculture Organization, National Agency for Statistics and Demography (ANSD)
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Metadata
Created on
Jan 21, 2022
Last modified
Jan 21, 2022
Page views
33989
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- Data files
- anon_sen_hh_sec0
- anon_sen_hh_sec1
- anon_sen_hh_sec2
- anon_sen_hh_sec3
- anon_sen_hh_sec4
- anon_sen_hh_sec5
- anon_sen_hh_sec6
- anon_sen_hh_sec7
- anon_sen_hh_sec8
- anon_sen_hh_sec9
- anon_sen_hh_sec10
- anon_sen_hh_sec11
- anon_sen_hh_sec12
- anon_sen_hh_sec13
- anon_sen_hh_sec14
- anon_sen_hh_sec15
- anon_sen_modg_sec1
- anon_sen_modg_sec2
- anon_sen_modg_sec3
- anon_sen_modg_sec3b_1
- anon_sen_modg_sec3b_2
- anon_sen_modg_sec4
- anon_sen_modg_sec5
- anon_sen_modg_sec6
Pouvez-vous préciser le département dans lequel il/elle vit actuellement ? (s1q14c)
Data file: anon_sen_hh_sec1
Overview
Valid:
758
Invalid:
9616
Minimum:
11
Maximum:
999
Type:
Discrete
Decimal:
2
Width:
8
Range:
11 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | DAKAR | 249 |
32.8%
|
| 12 | PIKINE | 41 |
5.4%
|
| 13 | RUFISQUE | 15 |
2%
|
| 14 | GUEDIAWAYE | 27 |
3.6%
|
| 21 | BIGNONA | 5 |
0.7%
|
| 22 | OUSSOUYE | 1 |
0.1%
|
| 23 | ZIGUINCHOR | 21 |
2.8%
|
| 31 | BAMBEY | 3 |
0.4%
|
| 32 | DIOURBEL | 16 |
2.1%
|
| 33 | M’BACKE | 19 |
2.5%
|
| 41 | DAGANA | 3 |
0.4%
|
| 42 | PODOR | 10 |
1.3%
|
| 43 | SAINT LOUIS | 7 |
0.9%
|
| 51 | BAKEL | 5 |
0.7%
|
| 52 | TAMBACOUNDA | 13 |
1.7%
|
| 53 | GOUDIRY | 0 |
0%
|
| 54 | KOUPENTOUM | 0 |
0%
|
| 61 | KAOLACK | 62 |
8.2%
|
| 62 | NIORO | 24 |
3.2%
|
| 63 | GUINGUINEO | 7 |
0.9%
|
| 71 | M’BOUR | 39 |
5.1%
|
| 72 | THIES | 13 |
1.7%
|
| 73 | TIVAOUANE | 6 |
0.8%
|
| 81 | KEBEMER | 0 |
0%
|
| 82 | LINGUERE | 1 |
0.1%
|
| 83 | LOUGA | 3 |
0.4%
|
| 91 | FATICK | 5 |
0.7%
|
| 92 | FOUNDIOUGNE | 4 |
0.5%
|
| 93 | GOSSAS | 0 |
0%
|
| 101 | KOLDA | 2 |
0.3%
|
| 102 | VELINGARA | 1 |
0.1%
|
| 103 | MEDINA YORO FOULAH | 0 |
0%
|
| 111 | MATAM | 18 |
2.4%
|
| 112 | KANEL | 14 |
1.8%
|
| 113 | RANEROU | 13 |
1.7%
|
| 121 | KAFFRINE | 3 |
0.4%
|
| 122 | BIRKELANE | 1 |
0.1%
|
| 123 | KOUNGHEUL | 2 |
0.3%
|
| 124 | MALEM HODDAR | 1 |
0.1%
|
| 131 | KEDOUGOU | 1 |
0.1%
|
| 132 | SALEMATA | 0 |
0%
|
| 133 | SARAYA | 0 |
0%
|
| 141 | SEDHIOU | 2 |
0.3%
|
| 142 | BOUNKILING | 0 |
0%
|
| 143 | GOUDOMP | 0 |
0%
|
| 999 | NSP | 101 |
13.3%
|
| Sysmiss | 9616 |
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.