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
29887
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
Total of harvest use (harvest_use_tp)
Data file: MODULE F-1 TO F-3 PRODUCTION GRANDE SAISON SUR NOUVEAUX TERRAINS.dta
Overview
Valid:
331
Invalid:
3214
Minimum:
0
Maximum:
7000
Type:
Discrete
Decimal:
2
Start:
1369
End:
1375
Width:
7
Range:
0 - 7000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 29 |
8.8%
|
|
| 25 | 3 |
0.9%
|
|
| 50 | 5 |
1.5%
|
|
| 75 | 4 |
1.2%
|
|
| 100 | 22 |
6.6%
|
|
| 150 | 4 |
1.2%
|
|
| 175 | 2 |
0.6%
|
|
| 200 | 23 |
6.9%
|
|
| 240 | 1 |
0.3%
|
|
| 250 | 3 |
0.9%
|
|
| 300 | 19 |
5.7%
|
|
| 330 | 2 |
0.6%
|
|
| 400 | 24 |
7.3%
|
|
| 440 | 1 |
0.3%
|
|
| 450 | 1 |
0.3%
|
|
| 500 | 35 |
10.6%
|
|
| 600 | 17 |
5.1%
|
|
| 700 | 9 |
2.7%
|
|
| 750 | 1 |
0.3%
|
|
| 800 | 15 |
4.5%
|
|
| 900 | 8 |
2.4%
|
|
| 1000 | 18 |
5.4%
|
|
| 1050 | 1 |
0.3%
|
|
| 1100 | 1 |
0.3%
|
|
| 1200 | 11 |
3.3%
|
|
| 1300 | 2 |
0.6%
|
|
| 1350 | 1 |
0.3%
|
|
| 1400 | 2 |
0.6%
|
|
| 1500 | 18 |
5.4%
|
|
| 1600 | 3 |
0.9%
|
|
| 1650 | 1 |
0.3%
|
|
| 1700 | 4 |
1.2%
|
|
| 2000 | 13 |
3.9%
|
|
| 2100 | 1 |
0.3%
|
|
| 2200 | 1 |
0.3%
|
|
| 2250 | 1 |
0.3%
|
|
| 2300 | 1 |
0.3%
|
|
| 2400 | 1 |
0.3%
|
|
| 2500 | 4 |
1.2%
|
|
| 3000 | 4 |
1.2%
|
|
| 3500 | 2 |
0.6%
|
|
| 4000 | 8 |
2.4%
|
|
| 4200 | 1 |
0.3%
|
|
| 5000 | 1 |
0.3%
|
|
| 5500 | 1 |
0.3%
|
|
| 6500 | 1 |
0.3%
|
|
| 7000 | 1 |
0.3%
|
|
| Sysmiss | 3214 |
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.