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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
1698319
Downloads
3497
  • 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

CD_7: Total amount of loan (cd_7_5)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 76
Invalid: 571
Minimum: 100
Maximum: 3000000
Mean: 68481.5789473684
Standard deviation: 344292.298959484
Type: Discrete
Decimal: 0
Start: 2862
End: 2868
Width: 7
Range: 100 - 3000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
100 1
1.3%
1000 10
13.2%
2000 4
5.3%
2500 1
1.3%
3000 4
5.3%
4000 2
2.6%
5000 12
15.8%
8000 1
1.3%
10000 10
13.2%
15000 3
3.9%
20000 3
3.9%
25000 2
2.6%
27000 1
1.3%
30000 1
1.3%
40000 2
2.6%
41000 1
1.3%
50000 5
6.6%
60000 2
2.6%
70000 2
2.6%
80000 2
2.6%
100000 2
2.6%
140000 1
1.3%
150000 1
1.3%
203000 1
1.3%
300000 1
1.3%
3000000 1
1.3%
Sysmiss 571
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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