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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
1019921
Downloads
452
  • Study Description
  • Data Dictionary
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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

IE_61: Cash Amount or Value (ie_61)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 647
Invalid: -
Minimum: 0
Maximum: 850000
Mean: 3576.19783616692
Standard deviation: 35349.8378319785
Type: Discrete
Decimal: 0
Start: 2015
End: 2020
Width: 6
Range: 0 - 850000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 560
86.6%
250 1
0.2%
300 1
0.2%
500 4
0.6%
1000 9
1.4%
2000 8
1.2%
2500 2
0.3%
3000 3
0.5%
4000 5
0.8%
5000 8
1.2%
6000 3
0.5%
6500 1
0.2%
7000 2
0.3%
8000 1
0.2%
9000 2
0.3%
10000 7
1.1%
11000 2
0.3%
11500 1
0.2%
12000 2
0.3%
15000 5
0.8%
16000 1
0.2%
20000 1
0.2%
21000 1
0.2%
23000 1
0.2%
30000 1
0.2%
32400 1
0.2%
33000 1
0.2%
40000 1
0.2%
42000 1
0.2%
50000 2
0.3%
60000 1
0.2%
61000 1
0.2%
61850 1
0.2%
65000 1
0.2%
100000 1
0.2%
120000 2
0.3%
150000 1
0.2%
850000 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.
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