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
82135
Downloads
136
- 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
the area of this land (quantity) (mtid5_a_pbl)
Data file: MODULE D-I D-IX TERRAINS AGRICOLES 2018.dta
Overview
Valid:
605
Invalid:
3430
Minimum:
0.25
Maximum:
94685
Type:
Discrete
Decimal:
2
Start:
264
End:
271
Width:
8
Range:
0.25 - 94685
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -98 | Ne sait pas | 0 |
0%
|
| 0.25 | 1 |
0.2%
|
|
| 0.5 | 7 |
1.2%
|
|
| 0.75 | 3 |
0.5%
|
|
| 1 | 43 |
7.1%
|
|
| 1.25 | 2 |
0.3%
|
|
| 1.5 | 20 |
3.3%
|
|
| 1.7 | 1 |
0.2%
|
|
| 1.75 | 3 |
0.5%
|
|
| 2 | 46 |
7.6%
|
|
| 2.25 | 1 |
0.2%
|
|
| 2.5 | 11 |
1.8%
|
|
| 2.75 | 1 |
0.2%
|
|
| 3 | 63 |
10.4%
|
|
| 3.25 | 1 |
0.2%
|
|
| 3.5 | 6 |
1%
|
|
| 4 | 50 |
8.3%
|
|
| 4.5 | 2 |
0.3%
|
|
| 5 | 70 |
11.6%
|
|
| 5.05 | 1 |
0.2%
|
|
| 5.25 | 1 |
0.2%
|
|
| 5.5 | 4 |
0.7%
|
|
| 5.75 | 1 |
0.2%
|
|
| 6 | 29 |
4.8%
|
|
| 6.5 | 4 |
0.7%
|
|
| 7 | 26 |
4.3%
|
|
| 7.75 | 1 |
0.2%
|
|
| 8 | 23 |
3.8%
|
|
| 8.5 | 2 |
0.3%
|
|
| 9 | 19 |
3.1%
|
|
| 9.5 | 1 |
0.2%
|
|
| 9.75 | 1 |
0.2%
|
|
| 10 | 33 |
5.5%
|
|
| 10.5 | 2 |
0.3%
|
|
| 11 | 13 |
2.1%
|
|
| 11.5 | 1 |
0.2%
|
|
| 11.75 | 1 |
0.2%
|
|
| 12 | 12 |
2%
|
|
| 12.25 | 1 |
0.2%
|
|
| 13 | 5 |
0.8%
|
|
| 13.5 | 1 |
0.2%
|
|
| 14 | 6 |
1%
|
|
| 15 | 17 |
2.8%
|
|
| 16 | 2 |
0.3%
|
|
| 17 | 3 |
0.5%
|
|
| 18 | 2 |
0.3%
|
|
| 19 | 2 |
0.3%
|
|
| 20 | 21 |
3.5%
|
|
| 20.5 | 1 |
0.2%
|
|
| 22 | 1 |
0.2%
|
|
| 25 | 2 |
0.3%
|
|
| 27 | 1 |
0.2%
|
|
| 30 | 6 |
1%
|
|
| 32 | 1 |
0.2%
|
|
| 33 | 1 |
0.2%
|
|
| 34 | 1 |
0.2%
|
|
| 35 | 3 |
0.5%
|
|
| 37 | 1 |
0.2%
|
|
| 40 | 4 |
0.7%
|
|
| 50 | 3 |
0.5%
|
|
| 60 | 2 |
0.3%
|
|
| 70 | 1 |
0.2%
|
|
| 100 | 2 |
0.3%
|
|
| 2500 | 1 |
0.2%
|
|
| 3750 | 1 |
0.2%
|
|
| 15000 | 2 |
0.3%
|
|
| 20000 | 1 |
0.2%
|
|
| 32500 | 1 |
0.2%
|
|
| 42500 | 1 |
0.2%
|
|
| 57500 | 1 |
0.2%
|
|
| 94685 | 1 |
0.2%
|
|
| Sysmiss | 3430 |
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.