The International Rescue Committee PRO-Jeunes Program Impact Evaluation Surveys, 2019-2023
Baseline and Midline
Côte d'Ivoire, 2019 - 2023
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Reference ID
CIV_2019-2023_PROJ_v01_M
Producer(s)
Clara Delavallade, Léa Rouanet, Estelle Koussoubé
Collection(s)
Metadata
Created on
May 28, 2024
Last modified
May 28, 2024
Page views
22737
Downloads
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- Data files
- baseline1_nopii
- baseline2_nopii
SE13. Quelle langue parlez-vous principalement à la maison? (se13_o)
Data file: baseline2_nopii
Overview
Valid:
1009
Invalid:
199
Minimum:
0
Maximum:
98
Type:
Discrete
Decimal:
0
Width:
22
Range:
0 - 98
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 0)Français | 190 |
18.8%
|
| 1 | 1)Abé | 18 |
1.8%
|
| 2 | 2)Abidji | 5 |
0.5%
|
| 3 | 3)Abron | 8 |
0.8%
|
| 4 | 4)Adjoukrou | 5 |
0.5%
|
| 5 | 5)Aizi | 0 |
0%
|
| 6 | 6)Alladian | 2 |
0.2%
|
| 7 | 7)Agni | 47 |
4.7%
|
| 8 | 8)Attié | 36 |
3.6%
|
| 9 | 9)Avikam | 2 |
0.2%
|
| 10 | 10)Bakwé | 0 |
0%
|
| 11 | 11)Bambara | 9 |
0.9%
|
| 12 | 12)Baoulé | 146 |
14.5%
|
| 13 | 13)Beng | 0 |
0%
|
| 14 | 14)Bété | 50 |
5%
|
| 15 | 15)Beti | 0 |
0%
|
| 16 | 16)Birifor | 0 |
0%
|
| 17 | 17)Zerma | 0 |
0%
|
| 18 | 18)Daho-Doo | 0 |
0%
|
| 19 | 19)Dan | 3 |
0.3%
|
| 20 | 20)Degha | 0 |
0%
|
| 21 | 21)Dida | 18 |
1.8%
|
| 22 | 22)Dioula | 168 |
16.7%
|
| 23 | 23)Ebrié | 25 |
2.5%
|
| 24 | 24)Ega | 0 |
0%
|
| 25 | 25)Gagou | 6 |
0.6%
|
| 26 | 26)Glio-Oubi | 0 |
0%
|
| 27 | 27)Gouro | 21 |
2.1%
|
| 28 | 28)Komono | 0 |
0%
|
| 29 | 29)Koro | 0 |
0%
|
| 30 | 30)Kouya | 0 |
0%
|
| 31 | 31)Koyaka | 16 |
1.6%
|
| 32 | 32)Krahn | 0 |
0%
|
| 33 | 33)Krobu | 1 |
0.1%
|
| 34 | 34)Kroumen | 2 |
0.2%
|
| 35 | 35)Koulango | 8 |
0.8%
|
| 36 | 36)Ligbi | 0 |
0%
|
| 37 | 37)Lobi | 0 |
0%
|
| 38 | 38)Loma | 0 |
0%
|
| 39 | 39)Mahou | 4 |
0.4%
|
| 40 | 40)Maninka | 2 |
0.2%
|
| 41 | 41)Mbatto | 0 |
0%
|
| 42 | 42)Mbre | 0 |
0%
|
| 43 | 43)Mwan | 1 |
0.1%
|
| 44 | 44)Moore | 0 |
0%
|
| 45 | 45)Neyo | 0 |
0%
|
| 46 | 46)Nyabwa | 0 |
0%
|
| 47 | 47)Nzema | 5 |
0.5%
|
| 48 | 48)Odienaka | 10 |
1%
|
| 49 | 49)Senoufo | 20 |
2%
|
| 50 | 50)Téén | 0 |
0%
|
| 51 | 51)Tonjon | 0 |
0%
|
| 52 | 52)Wan | 2 |
0.2%
|
| 53 | 53)Wané | 0 |
0%
|
| 54 | 54)Wè | 8 |
0.8%
|
| 55 | 55)Odienaka | 4 |
0.4%
|
| 56 | 56)Worodougou | 1 |
0.1%
|
| 57 | 57)Yaouré | 0 |
0%
|
| 58 | 58) Malinké | 6 |
0.6%
|
| 60 | 60)Aboure | 1 |
0.1%
|
| 61 | 61)Andoh | 1 |
0.1%
|
| 62 | 62)Apolo | 5 |
0.5%
|
| 63 | 63)Atchan | 0 |
0%
|
| 64 | 66)Bobo | 1 |
0.1%
|
| 65 | 67)Dafi | 0 |
0%
|
| 66 | 68)Djimini | 2 |
0.2%
|
| 67 | 69)Dogo | 0 |
0%
|
| 68 | 70)Ehoutile | 0 |
0%
|
| 69 | 71)Gou | 0 |
0%
|
| 70 | 72)Groussi | 0 |
0%
|
| 71 | 73)Guere | 14 |
1.4%
|
| 72 | 74)Gwa | 0 |
0%
|
| 73 | 76)Kununi | 0 |
0%
|
| 74 | 77)Mahouka | 4 |
0.4%
|
| 75 | 79)Malinke | 32 |
3.2%
|
| 76 | 80)Monnan | 0 |
0%
|
| 77 | 81)More | 5 |
0.5%
|
| 78 | 82)Peulh | 0 |
0%
|
| 79 | 83)Samo | 0 |
0%
|
| 80 | 85)Tagbana | 1 |
0.1%
|
| 81 | 86)Wobe | 7 |
0.7%
|
| 82 | 87)Wolof | 0 |
0%
|
| 83 | 88)Yacouba | 16 |
1.6%
|
| 98 | 98) Autre à préciser | 71 |
7%
|
| Sysmiss | 199 |
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.