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    Home / Central Data Catalog / RWA_2015-2018_LWHIE_V01_M / variable [F16]
central

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
1019778
Downloads
452
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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_10)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 134
Invalid: 513
Minimum: 350
Maximum: 31500
Mean: 2788.05970149254
Standard deviation: 4447.99177083337
Type: Discrete
Decimal: 0
Start: 2575
End: 2579
Width: 5
Range: 350 - 31500
Format: Numeric

Questions and instructions

Categories
Value Category Cases
350 2
1.5%
400 1
0.7%
500 19
14.2%
600 7
5.2%
700 1
0.7%
800 3
2.2%
900 1
0.7%
1000 19
14.2%
1100 2
1.5%
1200 8
6%
1300 2
1.5%
1400 1
0.7%
1500 6
4.5%
1600 1
0.7%
1700 1
0.7%
1800 1
0.7%
2000 4
3%
2200 2
1.5%
2300 1
0.7%
2400 1
0.7%
2500 10
7.5%
2700 2
1.5%
2800 1
0.7%
3000 6
4.5%
3100 1
0.7%
3300 1
0.7%
3400 1
0.7%
3500 3
2.2%
3800 2
1.5%
3900 1
0.7%
4000 1
0.7%
4200 2
1.5%
4300 1
0.7%
4500 1
0.7%
4600 2
1.5%
4800 1
0.7%
5000 5
3.7%
5600 1
0.7%
5900 1
0.7%
6000 1
0.7%
7000 1
0.7%
7500 1
0.7%
16000 1
0.7%
17500 1
0.7%
17600 1
0.7%
31000 1
0.7%
31500 1
0.7%
Sysmiss 513
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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