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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
1019593
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_7: Total income from sale (aa_7_4)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 53
Invalid: 594
Minimum: 1300
Maximum: 60000
Mean: 10741.5094339623
Standard deviation: 11511.8740364738
Type: Discrete
Decimal: 0
Start: 2224
End: 2228
Width: 5
Range: 1300 - 60000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1300 1
1.9%
1400 1
1.9%
1500 1
1.9%
2500 1
1.9%
3000 1
1.9%
3500 4
7.5%
4000 2
3.8%
4400 1
1.9%
5000 3
5.7%
6000 5
9.4%
6500 3
5.7%
7000 6
11.3%
7500 2
3.8%
8000 3
5.7%
8500 1
1.9%
9000 2
3.8%
10000 2
3.8%
12000 2
3.8%
13000 1
1.9%
14000 2
3.8%
15000 1
1.9%
18500 1
1.9%
19000 1
1.9%
20000 1
1.9%
24000 1
1.9%
30000 1
1.9%
35000 1
1.9%
54700 1
1.9%
60000 1
1.9%
Sysmiss 594
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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