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
24905
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
size of plot (nap5_a)
Data file: MODULE D-0 RECENSEMENT DES TERRAINS NON-AGRICOLES ADDITIONAL (NOUVEAUX).dta
Overview
Valid:
639
Invalid:
2066
Minimum:
-98
Maximum:
10000
Type:
Discrete
Decimal:
2
Start:
239
End:
246
Width:
8
Range:
-98 - 10000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -98 | Ne sait pas | 42 |
6.6%
|
| 0.01 | 1 |
0.2%
|
|
| 0.02 | 5 |
0.8%
|
|
| 0.025 | 2 |
0.3%
|
|
| 0.04 | 1 |
0.2%
|
|
| 0.05 | 12 |
1.9%
|
|
| 0.06 | 18 |
2.8%
|
|
| 0.08 | 4 |
0.6%
|
|
| 0.09 | 1 |
0.2%
|
|
| 0.1 | 3 |
0.5%
|
|
| 0.125 | 3 |
0.5%
|
|
| 0.2 | 3 |
0.5%
|
|
| 0.25 | 48 |
7.5%
|
|
| 0.3 | 2 |
0.3%
|
|
| 0.4 | 3 |
0.5%
|
|
| 0.5 | 22 |
3.4%
|
|
| 0.6 | 2 |
0.3%
|
|
| 0.75 | 1 |
0.2%
|
|
| 0.9 | 1 |
0.2%
|
|
| 1 | 37 |
5.8%
|
|
| 1.25 | 1 |
0.2%
|
|
| 1.5 | 3 |
0.5%
|
|
| 2 | 22 |
3.4%
|
|
| 2.5 | 1 |
0.2%
|
|
| 3 | 4 |
0.6%
|
|
| 3.25 | 1 |
0.2%
|
|
| 4 | 2 |
0.3%
|
|
| 5 | 2 |
0.3%
|
|
| 6 | 2 |
0.3%
|
|
| 9 | 1 |
0.2%
|
|
| 10 | 2 |
0.3%
|
|
| 17 | 1 |
0.2%
|
|
| 20 | 2 |
0.3%
|
|
| 25 | 9 |
1.4%
|
|
| 30 | 2 |
0.3%
|
|
| 35 | 1 |
0.2%
|
|
| 40 | 1 |
0.2%
|
|
| 50 | 1 |
0.2%
|
|
| 100 | 3 |
0.5%
|
|
| 200 | 11 |
1.7%
|
|
| 250 | 3 |
0.5%
|
|
| 300 | 8 |
1.3%
|
|
| 340 | 1 |
0.2%
|
|
| 350 | 2 |
0.3%
|
|
| 375 | 1 |
0.2%
|
|
| 400 | 28 |
4.4%
|
|
| 450 | 2 |
0.3%
|
|
| 460 | 1 |
0.2%
|
|
| 500 | 86 |
13.5%
|
|
| 540 | 1 |
0.2%
|
|
| 600 | 73 |
11.4%
|
|
| 620 | 1 |
0.2%
|
|
| 625 | 4 |
0.6%
|
|
| 650 | 1 |
0.2%
|
|
| 700 | 17 |
2.7%
|
|
| 750 | 19 |
3%
|
|
| 800 | 36 |
5.6%
|
|
| 875 | 2 |
0.3%
|
|
| 900 | 10 |
1.6%
|
|
| 1000 | 18 |
2.8%
|
|
| 1200 | 3 |
0.5%
|
|
| 1500 | 1 |
0.2%
|
|
| 1518 | 1 |
0.2%
|
|
| 1650 | 1 |
0.2%
|
|
| 2000 | 3 |
0.5%
|
|
| 2250 | 1 |
0.2%
|
|
| 2500 | 13 |
2%
|
|
| 3000 | 1 |
0.2%
|
|
| 4000 | 4 |
0.6%
|
|
| 5000 | 12 |
1.9%
|
|
| 7500 | 1 |
0.2%
|
|
| 10000 | 1 |
0.2%
|
|
| 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.