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
24936
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
amount received for selling / trading primary crop (cgrs8_a)
Data file: MODULE F-1 TO F-3 PRODUCTION GRANDE SAISON SUR NOUVEAUX TERRAINS.dta
Overview
Valid:
1171
Invalid:
2374
Minimum:
-98
Maximum:
320000
Type:
Discrete
Decimal:
0
Start:
548
End:
553
Width:
6
Range:
-98 - 320000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -98 | Ne sait pas | 5 |
0.4%
|
| 15 | 3 |
0.3%
|
|
| 20 | 11 |
0.9%
|
|
| 30 | 2 |
0.2%
|
|
| 35 | 4 |
0.3%
|
|
| 40 | 4 |
0.3%
|
|
| 75 | 1 |
0.1%
|
|
| 100 | 4 |
0.3%
|
|
| 120 | 6 |
0.5%
|
|
| 125 | 3 |
0.3%
|
|
| 135 | 4 |
0.3%
|
|
| 140 | 2 |
0.2%
|
|
| 150 | 48 |
4.1%
|
|
| 160 | 1 |
0.1%
|
|
| 170 | 6 |
0.5%
|
|
| 175 | 8 |
0.7%
|
|
| 180 | 16 |
1.4%
|
|
| 185 | 3 |
0.3%
|
|
| 190 | 5 |
0.4%
|
|
| 200 | 186 |
15.9%
|
|
| 210 | 1 |
0.1%
|
|
| 220 | 1 |
0.1%
|
|
| 240 | 1 |
0.1%
|
|
| 250 | 33 |
2.8%
|
|
| 260 | 8 |
0.7%
|
|
| 265 | 286 |
24.4%
|
|
| 270 | 5 |
0.4%
|
|
| 275 | 3 |
0.3%
|
|
| 280 | 1 |
0.1%
|
|
| 300 | 109 |
9.3%
|
|
| 315 | 3 |
0.3%
|
|
| 320 | 1 |
0.1%
|
|
| 325 | 1 |
0.1%
|
|
| 350 | 61 |
5.2%
|
|
| 360 | 1 |
0.1%
|
|
| 370 | 1 |
0.1%
|
|
| 375 | 3 |
0.3%
|
|
| 380 | 7 |
0.6%
|
|
| 400 | 109 |
9.3%
|
|
| 425 | 1 |
0.1%
|
|
| 450 | 9 |
0.8%
|
|
| 460 | 4 |
0.3%
|
|
| 500 | 9 |
0.8%
|
|
| 600 | 1 |
0.1%
|
|
| 3000 | 1 |
0.1%
|
|
| 4000 | 1 |
0.1%
|
|
| 5000 | 1 |
0.1%
|
|
| 8000 | 1 |
0.1%
|
|
| 9000 | 1 |
0.1%
|
|
| 9500 | 1 |
0.1%
|
|
| 10000 | 4 |
0.3%
|
|
| 12000 | 6 |
0.5%
|
|
| 13000 | 2 |
0.2%
|
|
| 14000 | 2 |
0.2%
|
|
| 15000 | 23 |
2%
|
|
| 16000 | 12 |
1%
|
|
| 17000 | 6 |
0.5%
|
|
| 18000 | 16 |
1.4%
|
|
| 19000 | 3 |
0.3%
|
|
| 20000 | 39 |
3.3%
|
|
| 22000 | 2 |
0.2%
|
|
| 25000 | 7 |
0.6%
|
|
| 26000 | 1 |
0.1%
|
|
| 30000 | 11 |
0.9%
|
|
| 31000 | 1 |
0.1%
|
|
| 32000 | 1 |
0.1%
|
|
| 35000 | 14 |
1.2%
|
|
| 37000 | 1 |
0.1%
|
|
| 40000 | 27 |
2.3%
|
|
| 45000 | 1 |
0.1%
|
|
| 60000 | 1 |
0.1%
|
|
| 90000 | 1 |
0.1%
|
|
| 265000 | 2 |
0.2%
|
|
| 320000 | 1 |
0.1%
|
|
| Sysmiss | 2374 |
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.