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

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
DOI
https://doi.org/10.48529/899t-y944
Producer(s)
Florence Kondylis, Maria Jones, John Loeser, Jeremy Magruder
Collection(s)
Impact Evaluation Surveys Development Impact Evaluation (DIME)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 27, 2020
Last modified
Mar 03, 2020
Page views
1669845
Downloads
3462
  • Study Description
  • Data Description
  • Documentation
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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_01: Selling livestock products (eggs, milk, meat, etc) (RWF) (ie_01)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 647
Invalid: -
Minimum: 0
Maximum: 300000
Mean: 7628.20710973725
Standard deviation: 32321.2713010227
Type: Discrete
Decimal: 0
Start: 1830
End: 1835
Width: 6
Range: 0 - 300000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 548
84.7%
300 1
0.2%
500 1
0.2%
1000 1
0.2%
1400 1
0.2%
1500 1
0.2%
2000 4
0.6%
2100 1
0.2%
2400 1
0.2%
2500 1
0.2%
3000 3
0.5%
3750 1
0.2%
4200 1
0.2%
5000 7
1.1%
6000 3
0.5%
8000 1
0.2%
10000 5
0.8%
12000 4
0.6%
15000 4
0.6%
16000 1
0.2%
17400 1
0.2%
20000 11
1.7%
21000 1
0.2%
25000 2
0.3%
30000 5
0.8%
36000 1
0.2%
40000 4
0.6%
47000 1
0.2%
50000 6
0.9%
60000 4
0.6%
70000 1
0.2%
80000 2
0.3%
100000 5
0.8%
120000 1
0.2%
134000 1
0.2%
160000 1
0.2%
176400 1
0.2%
196000 1
0.2%
200000 3
0.5%
226800 1
0.2%
249600 2
0.3%
280000 1
0.2%
300000 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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