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    Home / Central Data Catalog / IMPACT_EVALUATION / CIV_2016_PSACIE-BL_V01_M / variable [F2]
impact_evaluation

Impact Evaluation of Rubber and Gender - Cote d'Ivoire Agriculture Sector Support Project, Baseline Survey 2016

Côte d'Ivoire, 2016
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Reference ID
CIV_2016_PSACIE-BL_v01_M
DOI
https://doi.org/10.48529/e1ht-3753
Producer(s)
Aletheia Donald, Lea Rouanet, Markus Goldstein
Collection(s)
Impact Evaluation Surveys
Metadata
DDI/XML JSON
Created on
Jun 17, 2024
Last modified
Jun 17, 2024
Page views
24132
Downloads
1420
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • 01. Section ID
  • 02. Section CD
  • 03. Section RD1
  • 04. Section RD2
  • 05. Section DP1
  • 06. Section DP2
  • 07. Section DP3
  • 08. Section CE1
  • 09. Section CE2
  • 10. Section CE3
  • 11. Section CE4
  • 12. Section CG
  • 13. Section SA
  • 14. Section CL
  • 15. Section BM
  • 16. Section AC
  • 17. Section PC
  • 18. Section CT1
  • 19. Section CT2
  • 20. Section CT3
  • 21. Section CT4
  • 22. Section CT5
  • 23. Section HV
  • 24. Section
    CE2c
  • 25. Section
    CE3c
  • 26. Section ACc
  • 27. Section PCc
  • 28. Section HVc

Niveau d'education atteint (cd10)

Data file: 02. Section CD

Overview

Valid: 19336
Invalid: 81
Minimum: 0
Maximum: 28
Type: Discrete
Decimal: 0
Width: 41
Range: 0 - 28
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-999 Refus/Absence de reponse 0
0%
-998 Ne sait pas 0
0%
0 Jamais frequente l'ecole 6709
34.7%
1 Maternelle/Pre-maternelle/Classe zero 429
2.2%
2 CP1 738
3.8%
3 CP2 966
5%
4 CE1 1153
6%
5 CE2 1098
5.7%
6 CM1 1144
5.9%
7 CM2 2211
11.4%
8 6e 575
3%
9 5e 663
3.4%
10 4e 682
3.5%
11 3e 1307
6.8%
12 2de 300
1.6%
13 1re 300
1.6%
14 Terminale 574
3%
15 Superieur, 1re annee 57
0.3%
16 Superieur, 2e annee 204
1.1%
17 Superieur, 3e annee 54
0.3%
18 Superieur, 4e annee 63
0.3%
19 CAP1 15
0.1%
20 CAP2 6
0%
21 CAP3 9
0%
22 BEP1 9
0%
23 BEP2 8
0%
24 BT1 19
0.1%
25 BT2 18
0.1%
26 BT3 19
0.1%
27 BP1 0
0%
28 BP2 6
0%
Sysmiss 81
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.
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