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
115787
Downloads
200
- 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 stocked, second crop (cgrs24_a)
Data file: MODULE F-1 TO F-3 PRODUCTION GRANDE SAISON SUR NOUVEAUX TERRAINS.dta
Overview
Valid:
114
Invalid:
3431
Minimum:
-98
Maximum:
4700
Type:
Discrete
Decimal:
2
Start:
1026
End:
1032
Width:
7
Range:
-98 - 4700
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -98 | Ne sait pas | 1 |
0.9%
|
| 1 | 6 |
5.3%
|
|
| 2 | 3 |
2.6%
|
|
| 2.5 | 1 |
0.9%
|
|
| 3 | 7 |
6.1%
|
|
| 3.5 | 1 |
0.9%
|
|
| 4 | 6 |
5.3%
|
|
| 4.5 | 1 |
0.9%
|
|
| 5 | 2 |
1.8%
|
|
| 6 | 2 |
1.8%
|
|
| 7 | 2 |
1.8%
|
|
| 9 | 1 |
0.9%
|
|
| 10 | 2 |
1.8%
|
|
| 11 | 1 |
0.9%
|
|
| 15 | 1 |
0.9%
|
|
| 17 | 1 |
0.9%
|
|
| 19 | 1 |
0.9%
|
|
| 20 | 3 |
2.6%
|
|
| 24 | 1 |
0.9%
|
|
| 25 | 1 |
0.9%
|
|
| 26 | 1 |
0.9%
|
|
| 30 | 1 |
0.9%
|
|
| 35 | 1 |
0.9%
|
|
| 45 | 1 |
0.9%
|
|
| 50 | 4 |
3.5%
|
|
| 100 | 7 |
6.1%
|
|
| 125 | 1 |
0.9%
|
|
| 200 | 14 |
12.3%
|
|
| 250 | 2 |
1.8%
|
|
| 300 | 7 |
6.1%
|
|
| 325 | 1 |
0.9%
|
|
| 400 | 6 |
5.3%
|
|
| 500 | 6 |
5.3%
|
|
| 600 | 1 |
0.9%
|
|
| 700 | 1 |
0.9%
|
|
| 750 | 1 |
0.9%
|
|
| 800 | 2 |
1.8%
|
|
| 900 | 1 |
0.9%
|
|
| 925 | 1 |
0.9%
|
|
| 1000 | 1 |
0.9%
|
|
| 1100 | 1 |
0.9%
|
|
| 1500 | 2 |
1.8%
|
|
| 1600 | 1 |
0.9%
|
|
| 2000 | 1 |
0.9%
|
|
| 2700 | 1 |
0.9%
|
|
| 3500 | 1 |
0.9%
|
|
| 4000 | 1 |
0.9%
|
|
| 4500 | 1 |
0.9%
|
|
| 4700 | 1 |
0.9%
|
|
| Sysmiss | 3431 |
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.