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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
1019638
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

CD_7: Total amount of loan (cd_7_3)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 106
Invalid: 541
Minimum: 500
Maximum: 1100000
Mean: 42323.1132075472
Standard deviation: 113713.473502175
Type: Discrete
Decimal: 0
Start: 2761
End: 2767
Width: 7
Range: 500 - 1100000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
500 1
0.9%
1000 3
2.8%
1050 1
0.9%
1500 1
0.9%
1700 1
0.9%
2000 4
3.8%
2500 1
0.9%
3000 4
3.8%
4000 1
0.9%
5000 10
9.4%
5500 1
0.9%
6000 1
0.9%
8000 1
0.9%
9000 1
0.9%
9500 1
0.9%
10000 13
12.3%
11000 2
1.9%
12000 2
1.9%
14000 1
0.9%
15000 6
5.7%
16000 1
0.9%
20000 9
8.5%
25000 2
1.9%
28000 1
0.9%
30000 8
7.5%
40000 5
4.7%
50000 7
6.6%
60000 3
2.8%
70000 1
0.9%
80000 2
1.9%
100000 4
3.8%
120000 1
0.9%
140000 1
0.9%
150000 1
0.9%
200000 2
1.9%
300000 1
0.9%
1100000 1
0.9%
Sysmiss 541
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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