The International Rescue Committee PRO-Jeunes Program Impact Evaluation Surveys, 2019-2023
Baseline and Midline
Côte d'Ivoire, 2019 - 2023
Get Microdata
Reference ID
CIV_2019-2023_PROJ_v01_M
Producer(s)
Clara Delavallade, Léa Rouanet, Estelle Koussoubé
Created on
Feb 19, 2025
Last modified
Feb 19, 2025
Page views
59300
Downloads
607
- Data files
- baseline1_nopii
- baseline2_nopii
se131 redressé (se13_n)
Data file: baseline1_nopii
Overview
Valid:
1566
Invalid:
299
Minimum:
0
Maximum:
98
Type:
Discrete
Decimal:
0
Width:
21
Range:
0 - 98
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 0)Français | 591 |
37.7%
|
| 1 | 1)Abé | 16 |
1%
|
| 2 | 2)Abidji | 3 |
0.2%
|
| 3 | 3)Abron | 5 |
0.3%
|
| 4 | 4)Adjoukrou | 9 |
0.6%
|
| 5 | 5)Aizi | 0 |
0%
|
| 6 | 6)Alladian | 2 |
0.1%
|
| 7 | 7)Agni | 66 |
4.2%
|
| 8 | 8)Attié | 40 |
2.6%
|
| 9 | 9)Avikam | 4 |
0.3%
|
| 10 | 10)Bakwé | 0 |
0%
|
| 11 | 11)Bambara | 4 |
0.3%
|
| 12 | 12)Baoulé | 181 |
11.6%
|
| 13 | 13)Beng | 0 |
0%
|
| 14 | 14)Bété | 46 |
2.9%
|
| 15 | 15)15)Beti | 0 |
0%
|
| 16 | 16)Birifor | 0 |
0%
|
| 17 | 17)Zerma | 0 |
0%
|
| 18 | 18)Daho-Doo | 0 |
0%
|
| 19 | 19)Dan | 10 |
0.6%
|
| 20 | 20)Degha | 0 |
0%
|
| 21 | 21)Dida | 18 |
1.1%
|
| 22 | 22)Dioula | 182 |
11.6%
|
| 23 | 23)Ebrié | 30 |
1.9%
|
| 24 | 24)Ega | 0 |
0%
|
| 25 | 25)Gagou | 2 |
0.1%
|
| 26 | 26)Glio-Oubi | 0 |
0%
|
| 27 | 27)Gouro | 41 |
2.6%
|
| 28 | 28)Komono | 0 |
0%
|
| 29 | 29)Koro | 0 |
0%
|
| 30 | 30)Kouya | 0 |
0%
|
| 31 | 31)Koyaka | 14 |
0.9%
|
| 32 | 32)Krahn | 0 |
0%
|
| 33 | 33)Krobu | 0 |
0%
|
| 34 | 34)Kroumen | 3 |
0.2%
|
| 35 | 35)Koulango | 15 |
1%
|
| 36 | 36)Ligbi | 0 |
0%
|
| 37 | 37)Lobi | 4 |
0.3%
|
| 38 | 38)Loma | 0 |
0%
|
| 39 | 39)Mahou | 9 |
0.6%
|
| 40 | 40)Maninka | 7 |
0.4%
|
| 41 | 41)Mbatto | 1 |
0.1%
|
| 42 | 42)Mbre | 0 |
0%
|
| 43 | 43)Mwan | 0 |
0%
|
| 44 | 44)Moore | 7 |
0.4%
|
| 45 | 45)Neyo | 0 |
0%
|
| 46 | 47)Nyabwa | 1 |
0.1%
|
| 47 | 48)Nzema | 12 |
0.8%
|
| 48 | 49)Odienaka | 16 |
1%
|
| 49 | 50)Senoufo | 17 |
1.1%
|
| 50 | 51)Téén | 0 |
0%
|
| 51 | 52)Tonjon | 0 |
0%
|
| 52 | 53)Wan | 0 |
0%
|
| 53 | 54)Wané | 0 |
0%
|
| 54 | 55)Wè | 27 |
1.7%
|
| 55 | 4 |
0.3%
|
|
| 56 | 57)Worodougouka | 0 |
0%
|
| 57 | 58)Yaouré | 0 |
0%
|
| 58 | 58)ABOURE | 25 |
1.6%
|
| 59 | 59)APPOLO | 16 |
1%
|
| 60 | 60)YACOUBA | 23 |
1.5%
|
| 61 | 61)GUERE | 24 |
1.5%
|
| 62 | 62)AHOUSSA | 2 |
0.1%
|
| 63 | 63)BISSA | 4 |
0.3%
|
| 64 | 64)GNANBOIS | 4 |
0.3%
|
| 65 | 65)PEUHL | 5 |
0.3%
|
| 66 | 66)MALINKE | 25 |
1.6%
|
| 67 | 67)MASHANTI | 4 |
0.3%
|
| 68 | 68)FANTI | 5 |
0.3%
|
| 98 | 98)Autre à préciser | 42 |
2.7%
|
| Sysmiss | 299 |
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.