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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
1019964
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_55: Cash Amount or Value (ie_55)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 647
Invalid: -
Minimum: 0
Maximum: 50000
Mean: 867.400309119011
Standard deviation: 4712.32624998034
Type: Discrete
Decimal: 0
Start: 1987
End: 1991
Width: 5
Range: 0 - 50000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 587
90.7%
8 1
0.2%
300 2
0.3%
500 6
0.9%
1000 2
0.3%
1200 1
0.2%
1500 4
0.6%
2000 6
0.9%
2400 1
0.2%
2500 1
0.2%
2600 1
0.2%
3000 3
0.5%
4000 2
0.3%
5000 3
0.5%
5300 1
0.2%
6000 2
0.3%
7000 3
0.5%
7200 1
0.2%
7500 1
0.2%
8000 3
0.5%
10000 3
0.5%
12000 1
0.2%
15000 2
0.3%
20000 2
0.3%
24500 1
0.2%
30000 1
0.2%
35000 1
0.2%
38400 1
0.2%
40000 2
0.3%
50000 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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