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
74549
Downloads
130
- 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
distance between your household and this property (nap5_c)
Data file: MODULE D-0 RECENSEMENT DES TERRAINS NON-AGRICOLES ADDITIONAL (NOUVEAUX).dta
Overview
Valid:
639
Invalid:
2066
Minimum:
0
Maximum:
700
Type:
Discrete
Decimal:
2
Start:
254
End:
259
Width:
6
Range:
0 - 700
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -98 | Ne sait pas | 0 |
0%
|
| 0 | 303 |
47.4%
|
|
| 0.001 | 1 |
0.2%
|
|
| 0.003 | 1 |
0.2%
|
|
| 0.007 | 1 |
0.2%
|
|
| 0.01 | 5 |
0.8%
|
|
| 0.02 | 1 |
0.2%
|
|
| 0.03 | 1 |
0.2%
|
|
| 0.035 | 1 |
0.2%
|
|
| 0.05 | 6 |
0.9%
|
|
| 0.06 | 1 |
0.2%
|
|
| 0.1 | 7 |
1.1%
|
|
| 0.2 | 5 |
0.8%
|
|
| 0.25 | 1 |
0.2%
|
|
| 0.3 | 1 |
0.2%
|
|
| 0.4 | 2 |
0.3%
|
|
| 0.5 | 31 |
4.9%
|
|
| 0.6 | 4 |
0.6%
|
|
| 0.75 | 1 |
0.2%
|
|
| 0.8 | 1 |
0.2%
|
|
| 1 | 116 |
18.2%
|
|
| 1.5 | 3 |
0.5%
|
|
| 2 | 32 |
5%
|
|
| 3 | 11 |
1.7%
|
|
| 3.5 | 1 |
0.2%
|
|
| 4 | 7 |
1.1%
|
|
| 5 | 9 |
1.4%
|
|
| 6 | 4 |
0.6%
|
|
| 7 | 5 |
0.8%
|
|
| 8 | 9 |
1.4%
|
|
| 9 | 4 |
0.6%
|
|
| 10 | 7 |
1.1%
|
|
| 11 | 1 |
0.2%
|
|
| 12 | 5 |
0.8%
|
|
| 14 | 3 |
0.5%
|
|
| 17 | 2 |
0.3%
|
|
| 18 | 1 |
0.2%
|
|
| 19 | 2 |
0.3%
|
|
| 20 | 4 |
0.6%
|
|
| 22 | 1 |
0.2%
|
|
| 23 | 1 |
0.2%
|
|
| 24 | 1 |
0.2%
|
|
| 25 | 1 |
0.2%
|
|
| 30 | 4 |
0.6%
|
|
| 35 | 1 |
0.2%
|
|
| 40 | 1 |
0.2%
|
|
| 42 | 1 |
0.2%
|
|
| 50 | 6 |
0.9%
|
|
| 55 | 1 |
0.2%
|
|
| 57 | 1 |
0.2%
|
|
| 60 | 1 |
0.2%
|
|
| 70 | 3 |
0.5%
|
|
| 80 | 1 |
0.2%
|
|
| 90 | 2 |
0.3%
|
|
| 100 | 1 |
0.2%
|
|
| 135 | 1 |
0.2%
|
|
| 170 | 1 |
0.2%
|
|
| 200 | 1 |
0.2%
|
|
| 215 | 1 |
0.2%
|
|
| 216 | 1 |
0.2%
|
|
| 250 | 1 |
0.2%
|
|
| 315 | 1 |
0.2%
|
|
| 325 | 1 |
0.2%
|
|
| 368 | 1 |
0.2%
|
|
| 500 | 1 |
0.2%
|
|
| 700 | 2 |
0.3%
|
|
| Sysmiss | 2066 |
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.