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
30185
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
primary animal feed purchase, cattle breeding (bd22_a)
Data file: MODULE C-1 BIENS DURABLES.dta
Overview
Valid:
1241
Invalid:
1382
Minimum:
-99
Maximum:
1000
Type:
Discrete
Decimal:
2
Start:
1558
End:
1564
Width:
7
Range:
-99 - 1000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | Refusé | 11 |
0.9%
|
| -98 | Ne sait pas | 310 |
25%
|
| 0 | 96 |
7.7%
|
|
| 1 | 14 |
1.1%
|
|
| 2 | 30 |
2.4%
|
|
| 3 | 34 |
2.7%
|
|
| 4 | 24 |
1.9%
|
|
| 5 | 58 |
4.7%
|
|
| 6 | 20 |
1.6%
|
|
| 7 | 11 |
0.9%
|
|
| 8 | 7 |
0.6%
|
|
| 9 | 2 |
0.2%
|
|
| 10 | 53 |
4.3%
|
|
| 11 | 1 |
0.1%
|
|
| 12 | 1 |
0.1%
|
|
| 13 | 2 |
0.2%
|
|
| 14 | 1 |
0.1%
|
|
| 15 | 9 |
0.7%
|
|
| 16 | 1 |
0.1%
|
|
| 17 | 1 |
0.1%
|
|
| 18 | 2 |
0.2%
|
|
| 19 | 1 |
0.1%
|
|
| 20 | 15 |
1.2%
|
|
| 22 | 1 |
0.1%
|
|
| 25 | 1 |
0.1%
|
|
| 30 | 2 |
0.2%
|
|
| 50 | 26 |
2.1%
|
|
| 55 | 3 |
0.2%
|
|
| 60 | 2 |
0.2%
|
|
| 80 | 1 |
0.1%
|
|
| 90 | 1 |
0.1%
|
|
| 100 | 36 |
2.9%
|
|
| 110 | 2 |
0.2%
|
|
| 120 | 9 |
0.7%
|
|
| 125 | 1 |
0.1%
|
|
| 130 | 1 |
0.1%
|
|
| 140 | 1 |
0.1%
|
|
| 144 | 1 |
0.1%
|
|
| 150 | 20 |
1.6%
|
|
| 155 | 2 |
0.2%
|
|
| 160 | 1 |
0.1%
|
|
| 165 | 3 |
0.2%
|
|
| 170 | 1 |
0.1%
|
|
| 180 | 3 |
0.2%
|
|
| 200 | 60 |
4.8%
|
|
| 230 | 1 |
0.1%
|
|
| 250 | 20 |
1.6%
|
|
| 260 | 2 |
0.2%
|
|
| 300 | 46 |
3.7%
|
|
| 340 | 1 |
0.1%
|
|
| 350 | 10 |
0.8%
|
|
| 360 | 1 |
0.1%
|
|
| 380 | 1 |
0.1%
|
|
| 400 | 31 |
2.5%
|
|
| 450 | 11 |
0.9%
|
|
| 480 | 1 |
0.1%
|
|
| 500 | 78 |
6.3%
|
|
| 560 | 1 |
0.1%
|
|
| 600 | 35 |
2.8%
|
|
| 650 | 5 |
0.4%
|
|
| 700 | 18 |
1.5%
|
|
| 750 | 5 |
0.4%
|
|
| 790 | 2 |
0.2%
|
|
| 800 | 26 |
2.1%
|
|
| 850 | 1 |
0.1%
|
|
| 890 | 1 |
0.1%
|
|
| 900 | 13 |
1%
|
|
| 950 | 3 |
0.2%
|
|
| 980 | 1 |
0.1%
|
|
| 990 | 2 |
0.2%
|
|
| 1000 | 43 |
3.5%
|
|
| Sysmiss | 1382 |
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.