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    Home / Food and Agriculture Microdata Catalogue / IMPACT-ASSESSMENT-SURVEYS / TCD_2018_PADERG-IIAS_V01_EN_M_V01_A_OCS / variable [V2607]
IMPACT-ASSESSMENT-SURVEYS

Support Program for Rural Development in the Guéra, IFAD Impact Assessment Surveys, 2018.

Chad, 2017 - 2018
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Reference ID
TCD_2018_PADERG-IIAS_v01_EN_M_v01_A_OCS
Producer(s)
IFAD, Government of Chad
Collections
IFAD Impact Assessment Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 23, 2022
Last modified
Mar 25, 2022
Page views
48857
Downloads
468
  • Study Description
  • Data Dictionary
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  • Data files
  • anon_analysis
  • anon_roster

Name of the canton or the commune (canton)

Data file: anon_roster

Overview

Valid: 18328
Invalid: 357
Minimum: 1
Maximum: 23
Type: Discrete
Decimal: 2
Width: 8
Range: 1 - 23
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Canton Dangleat 1448
7.9%
2 Canton Migami 598
3.3%
3 Canton Arabe Imar 370
2%
4 Canton Djonkhor-Guera 222
1.2%
5 Canton Kenga 186
1%
6 Canton Daguela 372
2%
7 Canton Melfi Rural 174
0.9%
8 Canton Sorki 1054
5.8%
9 Canton Moubi Hadaba 151
0.8%
10 Commune de Bitchotchi 162
0.9%
11 Canton Dadjo II 178
1%
12 Canton Moubi Zarga 148
0.8%
13 Commune de Mangalme 154
0.8%
14 Canton Gogmi 323
1.8%
15 Commune de Melfi 297
1.6%
16 Canton Dayakhire 140
0.8%
17 Canton Mokofi 2382
13%
18 Canton Mousmare 3260
17.8%
19 Canton Dadjo I 2172
11.9%
20 Canton Bidio 483
2.6%
21 Canton Dadjo II 3510
19.2%
22 Commune de Mangalme 188
1%
23 Canton Moubi Hadaba 356
1.9%
Sysmiss 357
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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