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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2013-2014_EICV-W4-CS_V01_EN_M_V01_A_OCS / variable [F2]
agricultural-surveys

Integrated Household Living Conditions Survey - Wave 4, Cross-Sectional Sample, 2013-2014.

Rwanda, 2013 - 2014
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Reference ID
RWA_2013-2014_EICV-W4-CS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
Page views
30653
Downloads
1536
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • cs_s0_s5_household
  • cs_s1_s2_s3_s4_s6a_s6e_s6f_person
  • cs_s5e_access
    to services
  • cs_s6b_employement_6c_salaried_s6d_business
  • cs_s7a1_livestock
  • cs_s7a2_livestock
  • cs_s7a3_livestock
  • cs_s7a4_livestock
  • cs_s7b1_land_agriculture
  • cs_s7b2_land_agriculture
  • cs_s7c_parcels
  • cs_s7d_large_crop
  • cs_s7e_small_crop
  • cs_s7f_income_agriculture
  • cs_s7g_expenditure_agriculture
  • cs_s7h_transformation_agriculture
  • cs_s8a1_expenditure
  • cs_s8a2_expenditure
  • cs_s8a3_expenditure
  • cs_s8b_expenditure
  • cs_s8c_farming
  • cs_s9a_transfers_out
  • cs_s9b_transfers_in
  • cs_s9c_vup
  • cs_s9c1_vup
  • cs_s9d_other_income
  • cs_s9e_other_expenditure
  • cs_s10a1_credits
  • cs_s10a2_credits
  • cs_s10b_goods
  • cs_s10c_savings
  • current_main_activity6
  • EICV4_poverty_file
  • EICV3_Povertyfile_Jan2014

Year left school (s4aq16)

Data file: cs_s1_s2_s3_s4_s6a_s6e_s6f_person

Overview

Valid: 12282
Invalid: 53799
Type: Discrete
Decimal: 0
Start: 252
End: 255
Width: 4
Range: 1966 - 9999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1966 1
0%
1987 1
0%
1989 2
0%
1990 14
0.1%
1991 12
0.1%
1992 36
0.3%
1993 109
0.9%
1994 285
2.3%
1995 171
1.4%
1996 288
2.3%
1997 353
2.9%
1998 532
4.3%
1999 424
3.5%
2000 711
5.8%
2001 379
3.1%
2002 482
3.9%
2003 509
4.1%
2004 599
4.9%
2005 564
4.6%
2006 578
4.7%
2007 650
5.3%
2008 698
5.7%
2009 718
5.8%
2010 925
7.5%
2011 1270
10.3%
2012 1482
12.1%
2013 461
3.8%
2014 22
0.2%
9999 Missing 6
0%
Sysmiss 53799
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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