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
27178
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
quantity of perennial crop sold and/or bartered (cgrs7_a_tp)
Data file: MODULE F-1 TO F-3 PRODUCTION GRANDE SAISON SUR NOUVEAUX TERRAINS.dta
Overview
Valid:
268
Invalid:
3277
Minimum:
1
Maximum:
5000
Type:
Discrete
Decimal:
0
Start:
1231
End:
1234
Width:
4
Range:
1 - 5000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -98 | Ne sait pas | 0 |
0%
|
| 1 | 6 |
2.2%
|
|
| 2 | 9 |
3.4%
|
|
| 3 | 4 |
1.5%
|
|
| 4 | 8 |
3%
|
|
| 5 | 11 |
4.1%
|
|
| 6 | 4 |
1.5%
|
|
| 7 | 2 |
0.7%
|
|
| 8 | 2 |
0.7%
|
|
| 9 | 1 |
0.4%
|
|
| 10 | 8 |
3%
|
|
| 11 | 2 |
0.7%
|
|
| 12 | 5 |
1.9%
|
|
| 13 | 1 |
0.4%
|
|
| 14 | 1 |
0.4%
|
|
| 15 | 7 |
2.6%
|
|
| 16 | 1 |
0.4%
|
|
| 17 | 3 |
1.1%
|
|
| 18 | 1 |
0.4%
|
|
| 20 | 10 |
3.7%
|
|
| 22 | 1 |
0.4%
|
|
| 25 | 1 |
0.4%
|
|
| 30 | 1 |
0.4%
|
|
| 35 | 1 |
0.4%
|
|
| 40 | 3 |
1.1%
|
|
| 50 | 3 |
1.1%
|
|
| 55 | 1 |
0.4%
|
|
| 65 | 1 |
0.4%
|
|
| 70 | 1 |
0.4%
|
|
| 75 | 4 |
1.5%
|
|
| 100 | 15 |
5.6%
|
|
| 150 | 4 |
1.5%
|
|
| 175 | 2 |
0.7%
|
|
| 200 | 15 |
5.6%
|
|
| 250 | 1 |
0.4%
|
|
| 300 | 11 |
4.1%
|
|
| 390 | 1 |
0.4%
|
|
| 400 | 15 |
5.6%
|
|
| 450 | 1 |
0.4%
|
|
| 500 | 23 |
8.6%
|
|
| 600 | 8 |
3%
|
|
| 700 | 5 |
1.9%
|
|
| 800 | 13 |
4.9%
|
|
| 900 | 2 |
0.7%
|
|
| 1000 | 14 |
5.2%
|
|
| 1200 | 5 |
1.9%
|
|
| 1300 | 1 |
0.4%
|
|
| 1400 | 1 |
0.4%
|
|
| 1500 | 8 |
3%
|
|
| 1600 | 2 |
0.7%
|
|
| 1700 | 1 |
0.4%
|
|
| 1800 | 1 |
0.4%
|
|
| 2000 | 5 |
1.9%
|
|
| 2300 | 1 |
0.4%
|
|
| 2500 | 1 |
0.4%
|
|
| 3000 | 3 |
1.1%
|
|
| 3500 | 1 |
0.4%
|
|
| 3700 | 1 |
0.4%
|
|
| 4000 | 3 |
1.1%
|
|
| 5000 | 1 |
0.4%
|
|
| Sysmiss | 3277 |
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.