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
77548
Downloads
130
- 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
quantity of mineral (chemical) fertilizers used (cint13_c)
Data file: MODULE F-1 TO F-3 PRODUCTION GRANDE SAISON SUR NOUVEAUX TERRAINS.dta
Overview
Valid:
804
Invalid:
2741
Minimum:
-98
Maximum:
15000
Type:
Discrete
Decimal:
0
Start:
1560
End:
1564
Width:
5
Range:
-98 - 15000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -98 | Ne sait pas | 1 |
0.1%
|
| 2 | 2 |
0.2%
|
|
| 4 | 3 |
0.4%
|
|
| 5 | 2 |
0.2%
|
|
| 7 | 1 |
0.1%
|
|
| 8 | 1 |
0.1%
|
|
| 10 | 3 |
0.4%
|
|
| 12 | 1 |
0.1%
|
|
| 20 | 5 |
0.6%
|
|
| 25 | 2 |
0.2%
|
|
| 28 | 1 |
0.1%
|
|
| 30 | 2 |
0.2%
|
|
| 36 | 1 |
0.1%
|
|
| 40 | 1 |
0.1%
|
|
| 50 | 25 |
3.1%
|
|
| 60 | 2 |
0.2%
|
|
| 75 | 4 |
0.5%
|
|
| 80 | 2 |
0.2%
|
|
| 90 | 1 |
0.1%
|
|
| 100 | 58 |
7.2%
|
|
| 120 | 1 |
0.1%
|
|
| 125 | 2 |
0.2%
|
|
| 150 | 54 |
6.7%
|
|
| 160 | 1 |
0.1%
|
|
| 200 | 70 |
8.7%
|
|
| 225 | 3 |
0.4%
|
|
| 250 | 57 |
7.1%
|
|
| 300 | 54 |
6.7%
|
|
| 350 | 26 |
3.2%
|
|
| 400 | 35 |
4.4%
|
|
| 450 | 23 |
2.9%
|
|
| 500 | 62 |
7.7%
|
|
| 550 | 4 |
0.5%
|
|
| 600 | 45 |
5.6%
|
|
| 625 | 1 |
0.1%
|
|
| 650 | 6 |
0.7%
|
|
| 700 | 10 |
1.2%
|
|
| 750 | 31 |
3.9%
|
|
| 800 | 17 |
2.1%
|
|
| 850 | 4 |
0.5%
|
|
| 900 | 7 |
0.9%
|
|
| 1000 | 48 |
6%
|
|
| 1050 | 3 |
0.4%
|
|
| 1100 | 3 |
0.4%
|
|
| 1150 | 1 |
0.1%
|
|
| 1200 | 7 |
0.9%
|
|
| 1250 | 17 |
2.1%
|
|
| 1300 | 3 |
0.4%
|
|
| 1400 | 2 |
0.2%
|
|
| 1500 | 10 |
1.2%
|
|
| 1600 | 8 |
1%
|
|
| 1650 | 2 |
0.2%
|
|
| 1700 | 1 |
0.1%
|
|
| 1750 | 3 |
0.4%
|
|
| 1800 | 1 |
0.1%
|
|
| 1950 | 1 |
0.1%
|
|
| 2000 | 21 |
2.6%
|
|
| 2100 | 1 |
0.1%
|
|
| 2250 | 3 |
0.4%
|
|
| 2350 | 1 |
0.1%
|
|
| 2400 | 2 |
0.2%
|
|
| 2500 | 6 |
0.7%
|
|
| 2700 | 2 |
0.2%
|
|
| 2750 | 2 |
0.2%
|
|
| 3000 | 8 |
1%
|
|
| 3250 | 1 |
0.1%
|
|
| 4000 | 5 |
0.6%
|
|
| 5000 | 1 |
0.1%
|
|
| 5600 | 1 |
0.1%
|
|
| 6000 | 1 |
0.1%
|
|
| 6300 | 1 |
0.1%
|
|
| 8000 | 1 |
0.1%
|
|
| 10000 | 2 |
0.2%
|
|
| 11350 | 1 |
0.1%
|
|
| 11450 | 1 |
0.1%
|
|
| 13500 | 1 |
0.1%
|
|
| 15000 | 1 |
0.1%
|
|
| Sysmiss | 2741 |
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.