Impact, Maintenance, and Sustainability of Irrigation Impact Evaluation Survey 2015-2018, Baseline, First, Second, Third Follow-up
Rwanda, 2015 - 2018
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Reference ID
RWA_2015-2018_LWHIE_v01_M
Producer(s)
Florence Kondylis, Maria Jones, John Loeser, Jeremy Magruder
Metadata
Created on
Feb 27, 2020
Last modified
Mar 03, 2020
Page views
1683232
Downloads
3490
- Data files
- bl_hh_modules.dta
- bl_hh_roster.dta
- bl_parcel_plot_roster.dta
- bl_rw_hh_modules.dta
- bl_rw_hh_roster.dta
- bl_rw_parcel_plot_roster.dta
- bl_rw_season_17a.dta
- bl_rw_season_17b.dta
- bl_rw_season_17c.dta
- bl_season_14c.dta
- bl_season_15a.dta
- bl_season_15b.dta
- fup1_hh_modules.dta
- fup1_hh_roster.dta
- fup1_parcel_plot_roster.dta
- fup1_rw_hh_modules.dta
- fup1_rw_hh_roster.dta
- fup1_rw_parcel_plot_roster.dta
- fup1_rw_season_18a.dta
- fup1_rw_season_18b.dta
- fup1_rw_season_18c.dta
- fup1_rw_season_19a.dta
- fup1_season_16b.dta
- fup1_season_16c.dta
- fup1_season_17a.dta
- fup2_hh_modules.dta
- fup2_hh_roster.dta
- fup2_parcel_plot_roster.dta
- fup2_season_17b.dta
- fup2_season_17c.dta
- fup3_hh_modules.dta
- fup3_hh_roster.dta
- fup3_parcel_plot_roster.dta
- fup3_season_18a.dta
- fup3_season_18b.dta
- fup3_season_18c.dta
- fup3_season_19a.dta
CD_7: Total amount of loan (cd_7_6)
Data file: fup1_rw_hh_modules.dta
Overview
Valid:
187
Invalid:
460
Minimum:
100
Maximum:
200000
Mean:
7376.73796791444
Standard deviation:
17451.5167579039
Type:
Discrete
Decimal:
0
Start:
2933
End:
2938
Width:
6
Range:
100 - 200000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 100 | 3 |
1.6%
|
|
| 200 | 2 |
1.1%
|
|
| 300 | 3 |
1.6%
|
|
| 400 | 1 |
0.5%
|
|
| 500 | 8 |
4.3%
|
|
| 550 | 1 |
0.5%
|
|
| 600 | 1 |
0.5%
|
|
| 700 | 4 |
2.1%
|
|
| 800 | 4 |
2.1%
|
|
| 1000 | 13 |
7%
|
|
| 1200 | 3 |
1.6%
|
|
| 1300 | 1 |
0.5%
|
|
| 1400 | 2 |
1.1%
|
|
| 1500 | 10 |
5.3%
|
|
| 1700 | 1 |
0.5%
|
|
| 2000 | 18 |
9.6%
|
|
| 2500 | 7 |
3.7%
|
|
| 3000 | 19 |
10.2%
|
|
| 3200 | 2 |
1.1%
|
|
| 3500 | 2 |
1.1%
|
|
| 3700 | 1 |
0.5%
|
|
| 3800 | 1 |
0.5%
|
|
| 4000 | 6 |
3.2%
|
|
| 4500 | 1 |
0.5%
|
|
| 5000 | 21 |
11.2%
|
|
| 6000 | 6 |
3.2%
|
|
| 7000 | 3 |
1.6%
|
|
| 8000 | 3 |
1.6%
|
|
| 9000 | 1 |
0.5%
|
|
| 10000 | 8 |
4.3%
|
|
| 11000 | 1 |
0.5%
|
|
| 12000 | 2 |
1.1%
|
|
| 14000 | 1 |
0.5%
|
|
| 15000 | 9 |
4.8%
|
|
| 20000 | 10 |
5.3%
|
|
| 30000 | 4 |
2.1%
|
|
| 40000 | 1 |
0.5%
|
|
| 50000 | 1 |
0.5%
|
|
| 100000 | 1 |
0.5%
|
|
| 200000 | 1 |
0.5%
|
|
| Sysmiss | 460 |
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.