Migration Survey 2019
Senegal, 2019
Get Microdata
Reference ID
SEN_2019_MIG_v01_M
Producer(s)
The World Bank, CRES- Consortium for Economic and Social Research
Metadata
Created on
Oct 03, 2025
Last modified
Oct 03, 2025
Page views
74708
Downloads
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- Data files
-
base
comunautaire_public.dta - Section0_public.dta
- Section1_public.dta
- Section2_public.dta
- Section3_menage_public.dta
- Section3_scolarité_public.dta
- Section4_public.dta
- Section5_menage_public.dta
- Section5_migrant_public.dta
- Section6_menage_public.dta
- Section6_migrant_public.dta
- Section7_public.dta
- Section8_public.dta
- Section9_migrant_potentiel_public.dta
- Section9_migrant_retour_public.dta
Le dernier département de résidence du migrant avant son départ (s06_05_a)
Data file: Section6_migrant_public.dta
Overview
Valid:
324
Invalid:
153
Minimum:
1
Maximum:
92
Mean:
21.7438271604938
Standard deviation:
21.6487394190616
Type:
Discrete
Decimal:
0
Start:
57
End:
58
Width:
2
Range:
1 - 92
Format:
Numeric
Questions and instructions
Literal question
Quel est le dernier lieu de résidence de (NOM) avant son départ?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | KOLDA | 9 |
2.8%
|
| 2 | VELINGARA | 7 |
2.2%
|
| 3 | MEDINA YORO FOULAH | 4 |
1.2%
|
| 11 | MATAM | 184 |
56.8%
|
| 12 | KANEL | 21 |
6.5%
|
| 13 | RANEROU | 7 |
2.2%
|
| 14 | GUEDIAWAYE | 4 |
1.2%
|
| 21 | KAFFRINE | 5 |
1.5%
|
| 22 | BIRKELANE | 0 |
0%
|
| 23 | KOUNGHEUL | 6 |
1.9%
|
| 24 | MALEM HODDAR | 0 |
0%
|
| 31 | KEDOUGOU | 7 |
2.2%
|
| 32 | SALEMATA | 4 |
1.2%
|
| 33 | SARAYA | 6 |
1.9%
|
| 41 | SEDHIOU | 3 |
0.9%
|
| 42 | BOUNKILING | 4 |
1.2%
|
| 43 | GOUDOMP | 7 |
2.2%
|
| 51 | BAKEL | 3 |
0.9%
|
| 52 | TAMBACOUNDA | 2 |
0.6%
|
| 53 | GOUDIRY | 2 |
0.6%
|
| 54 | KOUPENTOUM | 1 |
0.3%
|
| 61 | KAOLACK | 6 |
1.9%
|
| 62 | NIORO | 0 |
0%
|
| 63 | GUINGUINEO | 0 |
0%
|
| 71 | M’BOUR | 4 |
1.2%
|
| 72 | THIES | 17 |
5.2%
|
| 73 | TIVAOUANE | 2 |
0.6%
|
| 81 | KEBEMER | 3 |
0.9%
|
| 82 | LINGUERE | 2 |
0.6%
|
| 83 | LOUGA | 0 |
0%
|
| 91 | FATICK | 3 |
0.9%
|
| 92 | FOUNDIOUGNE | 1 |
0.3%
|
| 93 | GOSSAS | 0 |
0%
|
| Sysmiss | 153 |
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.