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
40647
Downloads
413
- 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
Département (p00_02)
Data file: base comunautaire_public.dta
Overview
Valid:
367
Invalid:
-
Minimum:
11
Maximum:
143
Mean:
50.3678474114441
Standard deviation:
40.8155701499462
Type:
Discrete
Decimal:
0
Start:
10
End:
12
Width:
3
Range:
11 - 143
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | DAKAR | 76 |
20.7%
|
| 12 | PIKINE | 45 |
12.3%
|
| 13 | RUFISQUE | 12 |
3.3%
|
| 14 | GUEDIAWAYE | 13 |
3.5%
|
| 21 | BIGNONA | 9 |
2.5%
|
| 22 | OUSSOUYE | 2 |
0.5%
|
| 23 | ZIGUINCHOR | 5 |
1.4%
|
| 31 | BAMBEY | 8 |
2.2%
|
| 32 | DIOURBEL | 2 |
0.5%
|
| 33 | M’BACKE | 10 |
2.7%
|
| 41 | DAGANA | 4 |
1.1%
|
| 42 | PODOR | 10 |
2.7%
|
| 43 | SAINT LOUIS | 4 |
1.1%
|
| 51 | BAKEL | 3 |
0.8%
|
| 52 | TAMBACOUNDA | 9 |
2.5%
|
| 53 | GOUDIRY | 3 |
0.8%
|
| 54 | KOUPENTOUM | 2 |
0.5%
|
| 61 | KAOLACK | 10 |
2.7%
|
| 62 | NIORO | 3 |
0.8%
|
| 63 | GUINGUINEO | 1 |
0.3%
|
| 71 | M’BOUR | 10 |
2.7%
|
| 72 | THIES | 12 |
3.3%
|
| 73 | TIVAOUANE | 7 |
1.9%
|
| 81 | KEBEMER | 10 |
2.7%
|
| 82 | LINGUERE | 3 |
0.8%
|
| 83 | LOUGA | 15 |
4.1%
|
| 91 | FATICK | 3 |
0.8%
|
| 92 | FOUNDIOUGNE | 6 |
1.6%
|
| 93 | GOSSAS | 1 |
0.3%
|
| 101 | KOLDA | 13 |
3.5%
|
| 102 | VELINGARA | 6 |
1.6%
|
| 103 | MEDINA YORO FOULAH | 10 |
2.7%
|
| 111 | MATAM | 8 |
2.2%
|
| 112 | KANEL | 8 |
2.2%
|
| 113 | RANEROU | 1 |
0.3%
|
| 121 | KAFFRINE | 1 |
0.3%
|
| 122 | BIRKELANE | 2 |
0.5%
|
| 123 | KOUNGHEUL | 1 |
0.3%
|
| 124 | MALEM HODDAR | 1 |
0.3%
|
| 131 | KEDOUGOU | 2 |
0.5%
|
| 132 | SALEMATA | 1 |
0.3%
|
| 133 | SARAYA | 2 |
0.5%
|
| 141 | SEDHIOU | 2 |
0.5%
|
| 142 | BOUNKILING | 5 |
1.4%
|
| 143 | GOUDOMP | 6 |
1.6%
|
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.