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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 [F24]
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
33331
Downloads
1643
  • 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

Reason HH no longer benefits from VUP (s9cq7)

Data file: cs_s9c_vup

Overview

Valid: 970
Invalid: 13449
Type: Discrete
Decimal: 0
Start: 24
End: 25
Width: 2
Range: 0 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Paid off VUP 32
3.3%
1 Moved to higher Ubedehe category 51
5.3%
2 Found another job 25
2.6%
3 Did not participate in training 12
1.2%
4 Forced to leave 149
15.4%
5 Not enough public works 568
58.6%
6 Supported by other NGO/Partner 0
0%
7 Does not want (religious/moral) 47
4.8%
8 Other 39
4%
9 Payment delayed/not paid 19
2%
10 Ill/not fit enough to work 26
2.7%
99 2
0.2%
Sysmiss 13449
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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