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
24772
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
amount willing to pay for a title (tac19)
Data file: MODULE D-IX RECENSEMENT DES NOUVEAUX TERRAINS AGRICOLES.dta
Overview
Valid:
948
Invalid:
2016
Minimum:
1
Maximum:
400
Type:
Discrete
Decimal:
2
Start:
688
End:
693
Width:
6
Range:
1 - 400
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 28 |
3%
|
|
| 2 | 52 |
5.5%
|
|
| 2.5 | 2 |
0.2%
|
|
| 3 | 19 |
2%
|
|
| 4 | 2 |
0.2%
|
|
| 5 | 271 |
28.6%
|
|
| 6 | 1 |
0.1%
|
|
| 7 | 6 |
0.6%
|
|
| 8 | 3 |
0.3%
|
|
| 10 | 248 |
26.2%
|
|
| 12 | 3 |
0.3%
|
|
| 13 | 1 |
0.1%
|
|
| 15 | 71 |
7.5%
|
|
| 17 | 1 |
0.1%
|
|
| 18 | 1 |
0.1%
|
|
| 20 | 85 |
9%
|
|
| 24 | 1 |
0.1%
|
|
| 25 | 31 |
3.3%
|
|
| 30 | 29 |
3.1%
|
|
| 35 | 5 |
0.5%
|
|
| 40 | 16 |
1.7%
|
|
| 45 | 1 |
0.1%
|
|
| 50 | 36 |
3.8%
|
|
| 52 | 1 |
0.1%
|
|
| 55 | 1 |
0.1%
|
|
| 60 | 9 |
0.9%
|
|
| 65 | 2 |
0.2%
|
|
| 70 | 1 |
0.1%
|
|
| 80 | 2 |
0.2%
|
|
| 90 | 2 |
0.2%
|
|
| 100 | 6 |
0.6%
|
|
| 120 | 2 |
0.2%
|
|
| 150 | 1 |
0.1%
|
|
| 200 | 3 |
0.3%
|
|
| 250 | 1 |
0.1%
|
|
| 280 | 1 |
0.1%
|
|
| 300 | 2 |
0.2%
|
|
| 400 | 1 |
0.1%
|
|
| Sysmiss | 2016 |
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.