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
83047
Downloads
136
- 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 days people worked on soil preparation (mdo1_d_1_pbl)
Data file: MODULE F-1 TO F-3 PRODUCTION GRANDE SAISON SUR TERRAINS 2018.dta
Overview
Valid:
3885
Invalid:
1360
Minimum:
1
Maximum:
160
Type:
Discrete
Decimal:
0
Start:
1638
End:
1640
Width:
3
Range:
1 - 160
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 240 |
6.2%
|
|
| 2 | 408 |
10.5%
|
|
| 3 | 415 |
10.7%
|
|
| 4 | 308 |
7.9%
|
|
| 5 | 426 |
11%
|
|
| 6 | 162 |
4.2%
|
|
| 7 | 581 |
15%
|
|
| 8 | 100 |
2.6%
|
|
| 9 | 32 |
0.8%
|
|
| 10 | 223 |
5.7%
|
|
| 11 | 14 |
0.4%
|
|
| 12 | 47 |
1.2%
|
|
| 13 | 11 |
0.3%
|
|
| 14 | 164 |
4.2%
|
|
| 15 | 171 |
4.4%
|
|
| 16 | 6 |
0.2%
|
|
| 17 | 16 |
0.4%
|
|
| 18 | 11 |
0.3%
|
|
| 19 | 3 |
0.1%
|
|
| 20 | 75 |
1.9%
|
|
| 21 | 42 |
1.1%
|
|
| 22 | 1 |
0%
|
|
| 23 | 4 |
0.1%
|
|
| 25 | 28 |
0.7%
|
|
| 26 | 1 |
0%
|
|
| 27 | 1 |
0%
|
|
| 28 | 1 |
0%
|
|
| 30 | 253 |
6.5%
|
|
| 31 | 2 |
0.1%
|
|
| 35 | 7 |
0.2%
|
|
| 38 | 2 |
0.1%
|
|
| 40 | 15 |
0.4%
|
|
| 43 | 1 |
0%
|
|
| 45 | 17 |
0.4%
|
|
| 50 | 13 |
0.3%
|
|
| 54 | 2 |
0.1%
|
|
| 55 | 4 |
0.1%
|
|
| 60 | 50 |
1.3%
|
|
| 70 | 2 |
0.1%
|
|
| 80 | 1 |
0%
|
|
| 90 | 14 |
0.4%
|
|
| 100 | 1 |
0%
|
|
| 120 | 9 |
0.2%
|
|
| 160 | 1 |
0%
|
|
| Sysmiss | 1360 |
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.