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
117053
Downloads
200
- 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
total value of second crop harvest (cgrs20_pbl)
Data file: MODULE F-1 TO F-3 PRODUCTION GRANDE SAISON SUR TERRAINS 2018.dta
Overview
Valid:
196
Invalid:
5049
Minimum:
-98
Maximum:
70000
Type:
Discrete
Decimal:
0
Start:
895
End:
899
Width:
5
Range:
-98 - 70000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -98 | Ne sait pas | 5 |
2.6%
|
| 14 | 1 |
0.5%
|
|
| 15 | 2 |
1%
|
|
| 16 | 3 |
1.5%
|
|
| 18 | 1 |
0.5%
|
|
| 19 | 1 |
0.5%
|
|
| 20 | 3 |
1.5%
|
|
| 21 | 1 |
0.5%
|
|
| 22 | 1 |
0.5%
|
|
| 24 | 2 |
1%
|
|
| 25 | 1 |
0.5%
|
|
| 30 | 7 |
3.6%
|
|
| 32 | 3 |
1.5%
|
|
| 35 | 1 |
0.5%
|
|
| 36 | 2 |
1%
|
|
| 40 | 7 |
3.6%
|
|
| 42 | 1 |
0.5%
|
|
| 44 | 2 |
1%
|
|
| 45 | 3 |
1.5%
|
|
| 48 | 1 |
0.5%
|
|
| 50 | 2 |
1%
|
|
| 57 | 1 |
0.5%
|
|
| 60 | 8 |
4.1%
|
|
| 70 | 1 |
0.5%
|
|
| 75 | 6 |
3.1%
|
|
| 80 | 7 |
3.6%
|
|
| 90 | 7 |
3.6%
|
|
| 95 | 1 |
0.5%
|
|
| 96 | 1 |
0.5%
|
|
| 100 | 19 |
9.7%
|
|
| 108 | 1 |
0.5%
|
|
| 120 | 5 |
2.6%
|
|
| 125 | 1 |
0.5%
|
|
| 126 | 3 |
1.5%
|
|
| 128 | 1 |
0.5%
|
|
| 140 | 2 |
1%
|
|
| 144 | 2 |
1%
|
|
| 145 | 1 |
0.5%
|
|
| 150 | 6 |
3.1%
|
|
| 160 | 6 |
3.1%
|
|
| 161 | 1 |
0.5%
|
|
| 162 | 1 |
0.5%
|
|
| 168 | 1 |
0.5%
|
|
| 170 | 1 |
0.5%
|
|
| 175 | 1 |
0.5%
|
|
| 176 | 1 |
0.5%
|
|
| 180 | 3 |
1.5%
|
|
| 192 | 1 |
0.5%
|
|
| 200 | 15 |
7.7%
|
|
| 210 | 2 |
1%
|
|
| 225 | 3 |
1.5%
|
|
| 240 | 2 |
1%
|
|
| 250 | 3 |
1.5%
|
|
| 260 | 1 |
0.5%
|
|
| 270 | 1 |
0.5%
|
|
| 280 | 1 |
0.5%
|
|
| 300 | 7 |
3.6%
|
|
| 306 | 1 |
0.5%
|
|
| 320 | 1 |
0.5%
|
|
| 360 | 1 |
0.5%
|
|
| 380 | 1 |
0.5%
|
|
| 385 | 1 |
0.5%
|
|
| 399 | 1 |
0.5%
|
|
| 400 | 6 |
3.1%
|
|
| 460 | 1 |
0.5%
|
|
| 480 | 1 |
0.5%
|
|
| 560 | 1 |
0.5%
|
|
| 770 | 1 |
0.5%
|
|
| 800 | 1 |
0.5%
|
|
| 1200 | 2 |
1%
|
|
| 1440 | 1 |
0.5%
|
|
| 2700 | 1 |
0.5%
|
|
| 70000 | 1 |
0.5%
|
|
| Sysmiss | 5049 |
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.