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
2116485
Downloads
3687
- 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
IE_52: Gifts orTransfers to others (monetary) (ie_52)
Data file: fup1_rw_hh_modules.dta
Overview
Valid:
647
Invalid:
-
Minimum:
-88
Maximum:
1500000
Mean:
6302.25965996909
Standard deviation:
59543.8862494798
Type:
Discrete
Decimal:
0
Start:
1971
End:
1977
Width:
7
Range:
-88 - 1500000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -88 | 1 |
0.2%
|
|
| 0 | 404 |
62.4%
|
|
| 100 | 2 |
0.3%
|
|
| 450 | 1 |
0.2%
|
|
| 500 | 5 |
0.8%
|
|
| 1000 | 17 |
2.6%
|
|
| 1200 | 1 |
0.2%
|
|
| 1500 | 4 |
0.6%
|
|
| 2000 | 22 |
3.4%
|
|
| 2500 | 3 |
0.5%
|
|
| 3000 | 20 |
3.1%
|
|
| 3500 | 1 |
0.2%
|
|
| 4000 | 6 |
0.9%
|
|
| 4500 | 1 |
0.2%
|
|
| 5000 | 35 |
5.4%
|
|
| 5500 | 1 |
0.2%
|
|
| 5800 | 1 |
0.2%
|
|
| 6000 | 9 |
1.4%
|
|
| 7000 | 5 |
0.8%
|
|
| 7500 | 1 |
0.2%
|
|
| 8000 | 6 |
0.9%
|
|
| 9000 | 4 |
0.6%
|
|
| 10000 | 21 |
3.2%
|
|
| 11000 | 1 |
0.2%
|
|
| 12000 | 7 |
1.1%
|
|
| 13000 | 4 |
0.6%
|
|
| 14000 | 1 |
0.2%
|
|
| 15000 | 12 |
1.9%
|
|
| 16000 | 2 |
0.3%
|
|
| 17000 | 1 |
0.2%
|
|
| 19000 | 1 |
0.2%
|
|
| 20000 | 20 |
3.1%
|
|
| 24000 | 1 |
0.2%
|
|
| 25000 | 2 |
0.3%
|
|
| 26000 | 1 |
0.2%
|
|
| 30000 | 11 |
1.7%
|
|
| 40000 | 4 |
0.6%
|
|
| 50000 | 4 |
0.6%
|
|
| 63000 | 1 |
0.2%
|
|
| 68000 | 1 |
0.2%
|
|
| 100000 | 1 |
0.2%
|
|
| 1500000 | 1 |
0.2%
|
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.