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
28360
Downloads
78
- 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
If you sold this crop amount would you have made in total (cgrs9_tp_pbl)
Data file: MODULE F-1 TO F-3 PRODUCTION GRANDE SAISON SUR TERRAINS 2018.dta
Overview
Valid:
161
Invalid:
5084
Minimum:
-98
Maximum:
340000
Type:
Discrete
Decimal:
0
Start:
1181
End:
1186
Width:
6
Range:
-98 - 340000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -98 | Ne sait pas | 37 |
23%
|
| 0 | 9 |
5.6%
|
|
| 1 | 1 |
0.6%
|
|
| 2 | 1 |
0.6%
|
|
| 3 | 1 |
0.6%
|
|
| 4 | 1 |
0.6%
|
|
| 5 | 1 |
0.6%
|
|
| 8 | 2 |
1.2%
|
|
| 10 | 10 |
6.2%
|
|
| 12 | 3 |
1.9%
|
|
| 15 | 4 |
2.5%
|
|
| 16 | 1 |
0.6%
|
|
| 17 | 1 |
0.6%
|
|
| 20 | 7 |
4.3%
|
|
| 23 | 1 |
0.6%
|
|
| 24 | 1 |
0.6%
|
|
| 30 | 5 |
3.1%
|
|
| 35 | 1 |
0.6%
|
|
| 36 | 1 |
0.6%
|
|
| 40 | 5 |
3.1%
|
|
| 45 | 1 |
0.6%
|
|
| 50 | 2 |
1.2%
|
|
| 60 | 3 |
1.9%
|
|
| 70 | 1 |
0.6%
|
|
| 80 | 2 |
1.2%
|
|
| 90 | 1 |
0.6%
|
|
| 100 | 1 |
0.6%
|
|
| 120 | 3 |
1.9%
|
|
| 150 | 5 |
3.1%
|
|
| 160 | 1 |
0.6%
|
|
| 165 | 1 |
0.6%
|
|
| 200 | 2 |
1.2%
|
|
| 220 | 1 |
0.6%
|
|
| 225 | 1 |
0.6%
|
|
| 240 | 1 |
0.6%
|
|
| 250 | 2 |
1.2%
|
|
| 264 | 1 |
0.6%
|
|
| 280 | 1 |
0.6%
|
|
| 300 | 2 |
1.2%
|
|
| 350 | 3 |
1.9%
|
|
| 400 | 6 |
3.7%
|
|
| 405 | 1 |
0.6%
|
|
| 450 | 2 |
1.2%
|
|
| 500 | 1 |
0.6%
|
|
| 600 | 2 |
1.2%
|
|
| 630 | 1 |
0.6%
|
|
| 640 | 1 |
0.6%
|
|
| 700 | 1 |
0.6%
|
|
| 750 | 1 |
0.6%
|
|
| 780 | 1 |
0.6%
|
|
| 800 | 3 |
1.9%
|
|
| 2000 | 1 |
0.6%
|
|
| 20000 | 1 |
0.6%
|
|
| 30000 | 1 |
0.6%
|
|
| 40000 | 5 |
3.1%
|
|
| 90000 | 1 |
0.6%
|
|
| 150000 | 1 |
0.6%
|
|
| 250000 | 2 |
1.2%
|
|
| 340000 | 1 |
0.6%
|
|
| Sysmiss | 5084 |
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.