Plan Foncier Rural Impact Evaluation 2022
Endline
Benin, 2022
Get Microdata
Reference ID
BEN_2022_PFRIE-EL_v01_M
Producer(s)
Daniel Ayalew Ali, Thea Hilhorst, Klaus Deininger, Nick Barton
Metadata
Created on
Nov 17, 2023
Last modified
Nov 17, 2023
Page views
96433
Downloads
151
- Data files
- Cover.dta
- IDENTIFICATION.dta
-
MODULE A
TABLEAU DE
MENAGE ET
MODULE B EMPLOI
ET
ENTREPRISE.dta -
MODULE C-1
BIENS
DURABLES.dta -
MODULE C-II
HABITATION.dta -
MODULE D-0
RECENSEMENT DES
TERRAINS
NON-AGRICOLES
2018
(BASELINE).dta -
MODULE D-0
RECENSEMENT DES
TERRAINS
NON-AGRICOLES
ADDITIONAL
(NOUVEAUX).dta -
MODULE D-I D-IX
TERRAINS
AGRICOLES
2018.dta -
MODULE D-IX
RECENSEMENT DES
NOUVEAUX
TERRAINS
AGRICOLES.dta -
MODULE D-VI
CONFLITS SUR
LES TERRAINS DE
2018.dta -
MODULE D-VI
CONFLITS SUR
LES TERRAINS
DES NOUVEAUX
TERRAINS.dta -
MODULE E-I DONS
DE TERRAINS
DEPUIS MAI
2018.dta -
MODULE E-II
VENTES DE
TERRAINS DEPUIS
MAI 2018.dta -
MODULE E-III
PERTES DE
TERRAINS DEPUIS
MAI 2018.dta -
MODULE F-1 TO
F-3 PRODUCTION
GRANDE SAISON
SUR NOUVEAUX
TERRAINS.dta -
MODULE F-1 TO
F-3 PRODUCTION
GRANDE SAISON
SUR TERRAINS
2018.dta -
MODULE G MODULE
JEUNE HOMME.dta -
MODULE H
PERCEPTIONS
FONCIERES.dta -
MODULE I
PARTICIPATION
AUX PFR.dta -
MODULE J-I
CREDIT.dta -
MODULE J-II
SECURITE
ALIMENTAIRE.dta -
MODULE K
FEMME.dta
no. of cattle that left (bd48)
Data file: MODULE C-1 BIENS DURABLES.dta
Overview
Valid:
257
Invalid:
2366
Minimum:
-98
Maximum:
200
Type:
Discrete
Decimal:
0
Start:
2035
End:
2037
Width:
3
Range:
-98 - 200
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | Refusé | 0 |
0%
|
| -98 | Ne sait pas | 2 |
0.8%
|
| 0 | 1 |
0.4%
|
|
| 2 | 5 |
1.9%
|
|
| 3 | 5 |
1.9%
|
|
| 4 | 13 |
5.1%
|
|
| 5 | 7 |
2.7%
|
|
| 6 | 12 |
4.7%
|
|
| 7 | 7 |
2.7%
|
|
| 8 | 11 |
4.3%
|
|
| 9 | 6 |
2.3%
|
|
| 10 | 11 |
4.3%
|
|
| 11 | 2 |
0.8%
|
|
| 12 | 6 |
2.3%
|
|
| 13 | 2 |
0.8%
|
|
| 14 | 2 |
0.8%
|
|
| 15 | 14 |
5.4%
|
|
| 16 | 3 |
1.2%
|
|
| 17 | 3 |
1.2%
|
|
| 18 | 3 |
1.2%
|
|
| 19 | 2 |
0.8%
|
|
| 20 | 13 |
5.1%
|
|
| 21 | 2 |
0.8%
|
|
| 22 | 6 |
2.3%
|
|
| 23 | 5 |
1.9%
|
|
| 24 | 2 |
0.8%
|
|
| 25 | 8 |
3.1%
|
|
| 26 | 3 |
1.2%
|
|
| 27 | 4 |
1.6%
|
|
| 28 | 2 |
0.8%
|
|
| 29 | 3 |
1.2%
|
|
| 30 | 9 |
3.5%
|
|
| 31 | 1 |
0.4%
|
|
| 32 | 4 |
1.6%
|
|
| 33 | 1 |
0.4%
|
|
| 35 | 4 |
1.6%
|
|
| 36 | 4 |
1.6%
|
|
| 38 | 2 |
0.8%
|
|
| 40 | 14 |
5.4%
|
|
| 42 | 1 |
0.4%
|
|
| 43 | 2 |
0.8%
|
|
| 44 | 2 |
0.8%
|
|
| 45 | 5 |
1.9%
|
|
| 46 | 2 |
0.8%
|
|
| 47 | 2 |
0.8%
|
|
| 48 | 1 |
0.4%
|
|
| 49 | 1 |
0.4%
|
|
| 50 | 5 |
1.9%
|
|
| 52 | 1 |
0.4%
|
|
| 55 | 1 |
0.4%
|
|
| 57 | 1 |
0.4%
|
|
| 59 | 2 |
0.8%
|
|
| 60 | 4 |
1.6%
|
|
| 62 | 1 |
0.4%
|
|
| 63 | 1 |
0.4%
|
|
| 68 | 1 |
0.4%
|
|
| 70 | 1 |
0.4%
|
|
| 74 | 1 |
0.4%
|
|
| 81 | 1 |
0.4%
|
|
| 86 | 1 |
0.4%
|
|
| 90 | 2 |
0.8%
|
|
| 100 | 3 |
1.2%
|
|
| 104 | 1 |
0.4%
|
|
| 108 | 1 |
0.4%
|
|
| 110 | 1 |
0.4%
|
|
| 120 | 1 |
0.4%
|
|
| 130 | 1 |
0.4%
|
|
| 133 | 1 |
0.4%
|
|
| 150 | 2 |
0.8%
|
|
| 157 | 1 |
0.4%
|
|
| 173 | 1 |
0.4%
|
|
| 200 | 1 |
0.4%
|
|
| Sysmiss | 2366 |
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.