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    Home / Central Data Catalog / RWA-NISR-EICV4-CS-2013-2014-V01 / variable [F1]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
Cross-Sectional Sample

Rwanda, 2013 - 2014
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Reference ID
RWA-NISR-EICV4-CS-2013-2014-V01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 29, 2016
Last modified
Jun 22, 2026
Page views
2078738
Downloads
188977
  • Study Description
  • Data Dictionary
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  • 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

Service/payment in kind (amount) (s5bq6a)

Data file: cs_s0_s5_household

Overview

Valid: 119
Invalid: 14300
Type: Discrete
Decimal: 0
Start: 105
End: 112
Width: 8
Range: 500 - 99999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
500 1
0.8%
600 1
0.8%
700 1
0.8%
750 1
0.8%
1000 10
8.4%
1200 1
0.8%
1400 7
5.9%
1500 2
1.7%
1600 2
1.7%
1700 1
0.8%
1800 1
0.8%
2000 19
16%
2100 1
0.8%
2400 7
5.9%
2500 4
3.4%
2800 16
13.4%
3000 13
10.9%
3200 8
6.7%
3300 1
0.8%
3500 1
0.8%
3800 1
0.8%
4000 10
8.4%
4800 1
0.8%
5000 3
2.5%
6000 1
0.8%
6400 1
0.8%
7500 1
0.8%
20000 1
0.8%
22000 1
0.8%
40000 1
0.8%
99999999 Missing 0
0%
Sysmiss 14300
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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