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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
1019941
Downloads
452
  • 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

IE_21: Communication (RWF) (ie_21)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 647
Invalid: -
Minimum: -88
Maximum: 5000
Mean: 363.078825347759
Standard deviation: 561.594880288647
Type: Discrete
Decimal: 0
Start: 1887
End: 1890
Width: 4
Range: -88 - 5000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-88 1
0.2%
0 222
34.3%
100 39
6%
150 3
0.5%
200 89
13.8%
250 6
0.9%
300 64
9.9%
400 27
4.2%
450 1
0.2%
500 89
13.8%
600 13
2%
700 10
1.5%
800 8
1.2%
1000 36
5.6%
1100 2
0.3%
1200 3
0.5%
1300 1
0.2%
1400 2
0.3%
1500 15
2.3%
2000 7
1.1%
2100 1
0.2%
3000 3
0.5%
3500 1
0.2%
4000 1
0.2%
4200 1
0.2%
5000 2
0.3%
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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