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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
1769623
Downloads
3535
  • 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

AA_4: Total amount spent on purchase (aa_4_4)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 128
Invalid: 519
Minimum: 400
Maximum: 550000
Mean: 12793.75
Standard deviation: 48660.0804068063
Type: Discrete
Decimal: 0
Start: 2215
End: 2220
Width: 6
Range: 400 - 550000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
400 1
0.8%
1000 2
1.6%
1500 4
3.1%
1800 1
0.8%
2000 5
3.9%
2100 1
0.8%
2500 10
7.8%
3000 17
13.3%
3500 4
3.1%
3600 1
0.8%
4000 11
8.6%
4200 3
2.3%
4500 2
1.6%
5000 6
4.7%
6000 5
3.9%
6500 1
0.8%
7000 5
3.9%
7500 5
3.9%
8000 4
3.1%
8400 2
1.6%
9000 2
1.6%
10000 3
2.3%
10400 1
0.8%
11000 1
0.8%
12000 3
2.3%
12600 2
1.6%
14700 1
0.8%
15000 2
1.6%
18000 5
3.9%
20000 3
2.3%
21000 4
3.1%
22000 1
0.8%
25000 2
1.6%
25500 1
0.8%
27000 1
0.8%
30000 1
0.8%
31500 3
2.3%
60000 1
0.8%
550000 1
0.8%
Sysmiss 519
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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