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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F28]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
VUP

Rwanda, 2013 - 2014
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Reference ID
RWA-NISR-DDI-EICV4-VUP-01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 28, 2016
Last modified
Jun 29, 2016
Page views
1031481
Downloads
126241
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • vup_partb_filter_questions_hh
  • vup_s0_s5_household.dta
  • vup_s1_s2_s3_s4_s6a_s6e_s6f_person
  • vup_s5e_access
    to services
  • vup_s7a1_livestock.dta
  • vup_s7a2_livestock
  • vup_s7a3_livestock
  • vup_s7a4_livestock.dta
  • vup_s7b1_land_agriculture
  • vup_s7b2_land_agriculture
  • vup_s7c_parcels.dta
  • vup_s7d_large_crop
  • vup_s7e_small_crop.dta
  • vup_s7f_income_agriculture.dta
  • vup_s7g_expenditure_agriculture.dta
  • vup_s7h_transformation_agriculture
  • vup_s8a1_expenditure
  • vup_s8a2_expenditure.dta
  • vup_s8a3_expenditure.dta
  • vup_s8b_expenditure.dta
  • vup_s8c_farming.dta
  • vup_s9a_transfers_out.dta
  • vup_s9b_transfers_in.dta
  • vup_s9c_vup
  • vup_s9c1_vup
  • vup_s10a1_credits.dta
  • vup_s10a2_credits.dta
  • vup_s10b_goods
  • vup_s10c_savings.dta

Article 1 purchase year (s10bq3ay)

Data file: vup_s10b_goods

Overview

Valid: 3214
Invalid: 63206
Type: Discrete
Decimal: 0
Start: 85
End: 88
Width: 4
Range: 1950 - 9999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1950 1
0%
1959 1
0%
1972 1
0%
1980 1
0%
1981 4
0.1%
1982 2
0.1%
1983 1
0%
1985 3
0.1%
1987 3
0.1%
1989 2
0.1%
1990 7
0.2%
1991 4
0.1%
1992 6
0.2%
1993 3
0.1%
1994 6
0.2%
1995 12
0.4%
1996 15
0.5%
1997 10
0.3%
1998 22
0.7%
1999 18
0.6%
2000 57
1.8%
2001 13
0.4%
2002 22
0.7%
2003 38
1.2%
2004 44
1.4%
2005 54
1.7%
2006 61
1.9%
2007 93
2.9%
2008 137
4.3%
2009 148
4.6%
2010 231
7.2%
2011 320
10%
2012 465
14.5%
2013 892
27.8%
2014 517
16.1%
9999 Missing 0
0%
Sysmiss 63206
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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