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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
1036919
Downloads
470
  • Study Description
  • Data Dictionary
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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

FS_03: Total spent on purchasing this food item (fs_03_1)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 227
Invalid: 420
Minimum: 0
Maximum: 5000
Mean: 1283.12775330396
Standard deviation: 997.901956840092
Type: Discrete
Decimal: 0
Start: 3277
End: 3280
Width: 4
Range: 0 - 5000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 6
2.6%
280 1
0.4%
300 1
0.4%
350 2
0.9%
380 1
0.4%
400 22
9.7%
450 2
0.9%
460 1
0.4%
500 2
0.9%
580 1
0.4%
600 4
1.8%
700 18
7.9%
750 3
1.3%
790 1
0.4%
800 59
26%
850 3
1.3%
900 7
3.1%
1000 6
2.6%
1200 8
3.5%
1400 5
2.2%
1500 1
0.4%
1600 24
10.6%
1800 3
1.3%
2000 3
1.3%
2100 3
1.3%
2250 1
0.4%
2400 17
7.5%
2700 2
0.9%
2880 1
0.4%
3000 4
1.8%
3200 2
0.9%
3400 1
0.4%
3600 1
0.4%
3700 1
0.4%
3750 1
0.4%
3800 1
0.4%
4000 4
1.8%
4800 2
0.9%
5000 2
0.9%
Sysmiss 420
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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