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
83208
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
no. of days people worked on soil preparation (mdo4_d_3_pbl)
Data file: MODULE F-1 TO F-3 PRODUCTION GRANDE SAISON SUR TERRAINS 2018.dta
Overview
Valid:
936
Invalid:
4309
Minimum:
1
Maximum:
120
Type:
Discrete
Decimal:
0
Start:
1759
End:
1761
Width:
3
Range:
1 - 120
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 14 |
1.5%
|
|
| 2 | 31 |
3.3%
|
|
| 3 | 44 |
4.7%
|
|
| 4 | 38 |
4.1%
|
|
| 5 | 45 |
4.8%
|
|
| 6 | 18 |
1.9%
|
|
| 7 | 94 |
10%
|
|
| 8 | 21 |
2.2%
|
|
| 9 | 13 |
1.4%
|
|
| 10 | 71 |
7.6%
|
|
| 11 | 5 |
0.5%
|
|
| 12 | 19 |
2%
|
|
| 13 | 4 |
0.4%
|
|
| 14 | 68 |
7.3%
|
|
| 15 | 78 |
8.3%
|
|
| 16 | 6 |
0.6%
|
|
| 17 | 2 |
0.2%
|
|
| 18 | 6 |
0.6%
|
|
| 19 | 3 |
0.3%
|
|
| 20 | 67 |
7.2%
|
|
| 21 | 38 |
4.1%
|
|
| 22 | 4 |
0.4%
|
|
| 23 | 1 |
0.1%
|
|
| 25 | 30 |
3.2%
|
|
| 27 | 1 |
0.1%
|
|
| 28 | 2 |
0.2%
|
|
| 29 | 2 |
0.2%
|
|
| 30 | 111 |
11.9%
|
|
| 32 | 1 |
0.1%
|
|
| 35 | 15 |
1.6%
|
|
| 37 | 1 |
0.1%
|
|
| 40 | 6 |
0.6%
|
|
| 45 | 18 |
1.9%
|
|
| 48 | 1 |
0.1%
|
|
| 50 | 1 |
0.1%
|
|
| 55 | 1 |
0.1%
|
|
| 60 | 39 |
4.2%
|
|
| 65 | 4 |
0.4%
|
|
| 70 | 2 |
0.2%
|
|
| 75 | 3 |
0.3%
|
|
| 90 | 7 |
0.7%
|
|
| 120 | 1 |
0.1%
|
|
| Sysmiss | 4309 |
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.