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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
1349937
Downloads
3066
  • 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_6)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 142
Invalid: 505
Minimum: 2500
Maximum: 60000
Mean: 11154.9295774648
Standard deviation: 9914.56109095159
Type: Discrete
Decimal: 0
Start: 2308
End: 2312
Width: 5
Range: 2500 - 60000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
2500 1
0.7%
3000 8
5.6%
3500 1
0.7%
4000 2
1.4%
4500 2
1.4%
5000 19
13.4%
5500 3
2.1%
6000 9
6.3%
6500 2
1.4%
7000 16
11.3%
7500 2
1.4%
8000 5
3.5%
8500 3
2.1%
9000 7
4.9%
9500 5
3.5%
10000 10
7%
10500 6
4.2%
11000 1
0.7%
11500 1
0.7%
12000 11
7.7%
12500 2
1.4%
15000 2
1.4%
16000 2
1.4%
17000 3
2.1%
18000 2
1.4%
18500 1
0.7%
19000 1
0.7%
20000 1
0.7%
22000 1
0.7%
23500 1
0.7%
25000 3
2.1%
28000 1
0.7%
30000 1
0.7%
35000 1
0.7%
40000 2
1.4%
45000 1
0.7%
48000 1
0.7%
60000 2
1.4%
Sysmiss 505
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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