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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
1019818
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

AA_4: Total amount spent on purchase (aa_4_2)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 75
Invalid: 572
Minimum: 7000
Maximum: 440000
Mean: 30173.3333333333
Standard deviation: 50030.9696880635
Type: Discrete
Decimal: 0
Start: 2098
End: 2103
Width: 6
Range: 7000 - 440000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
7000 1
1.3%
11000 1
1.3%
12000 9
12%
13000 2
2.7%
14000 2
2.7%
15000 9
12%
16000 2
2.7%
17000 1
1.3%
18000 6
8%
19000 2
2.7%
20000 9
12%
22000 1
1.3%
23000 1
1.3%
25000 2
2.7%
27000 2
2.7%
27500 1
1.3%
28000 2
2.7%
30000 5
6.7%
30500 1
1.3%
32000 1
1.3%
35000 1
1.3%
36000 1
1.3%
37000 1
1.3%
38000 1
1.3%
40000 2
2.7%
49000 1
1.3%
50000 3
4%
60000 3
4%
83000 1
1.3%
440000 1
1.3%
Sysmiss 572
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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