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    Home / Central Data Catalog / RWA_2015-2018_LWHIE_V01_M / variable [F16]
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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
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
1038209
Downloads
470
  • Study Description
  • Data Dictionary
  • Downloads
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  • 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.
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