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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
1019983
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_20: Transportation (RWF) (ie_20)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 647
Invalid: -
Minimum: -88
Maximum: 80000
Mean: 1309.06027820711
Standard deviation: 4062.46618135943
Type: Discrete
Decimal: 0
Start: 1882
End: 1886
Width: 5
Range: -88 - 80000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-88 1
0.2%
0 452
69.9%
300 1
0.2%
400 2
0.3%
500 8
1.2%
600 5
0.8%
800 3
0.5%
1000 13
2%
1100 1
0.2%
1200 5
0.8%
1300 2
0.3%
1400 1
0.2%
1500 11
1.7%
1700 1
0.2%
1800 1
0.2%
2000 27
4.2%
2200 1
0.2%
2300 1
0.2%
2400 1
0.2%
2500 5
0.8%
2600 1
0.2%
2800 2
0.3%
3000 20
3.1%
3500 2
0.3%
3600 1
0.2%
4000 7
1.1%
4200 2
0.3%
4250 1
0.2%
4400 1
0.2%
4500 2
0.3%
4600 1
0.2%
5000 21
3.2%
5500 1
0.2%
6000 11
1.7%
6400 1
0.2%
7000 4
0.6%
8000 5
0.8%
9000 1
0.2%
10000 9
1.4%
10500 1
0.2%
11200 1
0.2%
12000 4
0.6%
15000 3
0.5%
17000 1
0.2%
20000 1
0.2%
80000 1
0.2%
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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