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
1910809
Downloads
3563
- 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
SH_4: Total loss associated with shock in season (sh_4_2)
Data file: fup1_rw_hh_modules.dta
Overview
Valid:
291
Invalid:
356
Minimum:
1800
Maximum:
800000
Mean:
69938.3161512027
Standard deviation:
98489.3735782929
Type:
Discrete
Decimal:
0
Start:
3151
End:
3156
Width:
6
Range:
1800 - 800000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1800 | 1 |
0.3%
|
|
| 2000 | 1 |
0.3%
|
|
| 2500 | 1 |
0.3%
|
|
| 4000 | 1 |
0.3%
|
|
| 5000 | 6 |
2.1%
|
|
| 6000 | 1 |
0.3%
|
|
| 7000 | 4 |
1.4%
|
|
| 8000 | 1 |
0.3%
|
|
| 10000 | 22 |
7.6%
|
|
| 12000 | 1 |
0.3%
|
|
| 15000 | 13 |
4.5%
|
|
| 15750 | 1 |
0.3%
|
|
| 18000 | 3 |
1%
|
|
| 20000 | 36 |
12.4%
|
|
| 22000 | 1 |
0.3%
|
|
| 25000 | 10 |
3.4%
|
|
| 30000 | 27 |
9.3%
|
|
| 32000 | 1 |
0.3%
|
|
| 35000 | 5 |
1.7%
|
|
| 40000 | 16 |
5.5%
|
|
| 44000 | 1 |
0.3%
|
|
| 45000 | 4 |
1.4%
|
|
| 50000 | 37 |
12.7%
|
|
| 60000 | 15 |
5.2%
|
|
| 70000 | 3 |
1%
|
|
| 80000 | 13 |
4.5%
|
|
| 100000 | 26 |
8.9%
|
|
| 110000 | 1 |
0.3%
|
|
| 120000 | 2 |
0.7%
|
|
| 125000 | 1 |
0.3%
|
|
| 135000 | 1 |
0.3%
|
|
| 140000 | 1 |
0.3%
|
|
| 150000 | 6 |
2.1%
|
|
| 200000 | 15 |
5.2%
|
|
| 250000 | 2 |
0.7%
|
|
| 300000 | 3 |
1%
|
|
| 350000 | 1 |
0.3%
|
|
| 400000 | 1 |
0.3%
|
|
| 500000 | 4 |
1.4%
|
|
| 700000 | 1 |
0.3%
|
|
| 800000 | 1 |
0.3%
|
|
| Sysmiss | 356 |
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.