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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2015-2018_LWHIE_V01_EN_M_V01_A_OCS / variable [F16]
agricultural-surveys

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_EN_M_V01_A_OCS
Producer(s)
Florence Kondylis, Maria Jones, John Loeser, Jeremy Magruder
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 09, 2020
Last modified
Nov 08, 2022
Page views
1497561
Downloads
4343
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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_5: Primary purpose of loan (cd_5_7)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 284
Invalid: 363
Minimum: -77
Maximum: 10
Mean: 3.88028169014085
Standard deviation: 13.9828175195879
Type: Discrete
Decimal: 0
Start: 3004
End: 3006
Width: 3
Range: -77 - 10
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-77 Other: 8
2.8%
1 Agricultural inputs 18
6.3%
2 school fees or educational expenses 7
2.5%
3 Paying debts/loans 17
6%
4 Agricultural equipment 36
12.7%
5 Business investment 7
2.5%
6 Home improvement 20
7%
7 Consumer goods 52
18.3%
8 Emergency 100
35.2%
9 Wedding/ funeral/ holiday 18
6.3%
10 Remittances 1
0.4%
Sysmiss 363
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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