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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F17]
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
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  • 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 Description (s8a1q0d)

Data file: vup_s8a1_expenditure

Overview

Valid: 169740
Type: Discrete
Start: 38
End: 57
Width: 20
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Aeroplane flights 2460
1.4%
Bed Pillows 2460
1.4%
Bed Sheets 2460
1.4%
Blanket 2460
1.4%
Building repairs (la 2460
1.4%
Building repairs (su 2460
1.4%
Children's clothing 2460
1.4%
Children's footwear 2460
1.4%
Children's tailoring 2460
1.4%
Children's underwear 2460
1.4%
Clocks 2460
1.4%
Cloth for wiping tab 2460
1.4%
Cutlery, flatware an 2460
1.4%
Dentures 2460
1.4%
Dish towel/Rag/Wiper 2460
1.4%
Dishes (tableware) 2460
1.4%
Draperies (curtains) 2460
1.4%
Electric clothes iro 2460
1.4%
Fabric (cloth) for m 2460
1.4%
Fabric (cloth) for w 2460
1.4%
Furniture repair 2460
1.4%
Givingbirth 2460
1.4%
Hand bags (other tha 2460
1.4%
Healthinsurance (Mut 2460
1.4%
Hearing aids/prosthe 2460
1.4%
Hospitalization 2460
1.4%
Hotel overnight and 2460
1.4%
International travel 2460
1.4%
Issue of administrat 2460
1.4%
Jewelry 2460
1.4%
Kitchen and domestic 2460
1.4%
Local Energy saving 2460
1.4%
Mats 2460
1.4%
Mattresses 2460
1.4%
Men's clothing acces 2460
1.4%
Men's footwear 2460
1.4%
Men's garments 2460
1.4%
Men's tailoring 2460
1.4%
Men's underwear 2460
1.4%
Metal/Wooden Case 2460
1.4%
Mosquito nets 2460
1.4%
Motor boat transport 2460
1.4%
Musical instruments 2460
1.4%
Non-electric clothes 2460
1.4%
Nursery and daycare 2460
1.4%
Other household and 2460
1.4%
Other household text 2460
1.4%
Other personal effec 2460
1.4%
Other small househol 2460
1.4%
Repair of household 2460
1.4%
Rugs, floor covering 2460
1.4%
Spectacles / eye len 2460
1.4%
Sporting equipment 2460
1.4%
Subscription to DSTV 2460
1.4%
Suitcases 2460
1.4%
Sunglasses 2460
1.4%
Tablecloth 2460
1.4%
Torch (flashlight) 2460
1.4%
Travel bags 2460
1.4%
Umbrellas 2460
1.4%
Vehicle/ Motor insur 2460
1.4%
Watches (timepiece) 2460
1.4%
Women's clothing acc 2460
1.4%
Women's footwear 2460
1.4%
Women's garments 2460
1.4%
Women's tailoring 2460
1.4%
Women's underwear 2460
1.4%
Wrap around cloth fo 2460
1.4%
women’s handbags 2460
1.4%
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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