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    Home / Central Data Catalog / RWA_2013_EICV-VUP_V01_M / variable [F19]
central

Integrated Household Living Conditions Survey 2013-2014, Vision 2020 Umurenge Program

Rwanda, 2013 - 2014
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Reference ID
RWA_2013_EICV-VUP_v01_M
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
19579
Downloads
634
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • vup_partb_filter_questions_hh.dta
  • vup_s0_s5_household.dta
    .dta
  • vup_s1_s2_s3_s4_s6a_s6e_s6f_person.dta
  • vup_s5e_access
    to services.dta
  • vup_s7a1_livestock.dta
    .dta
  • vup_s7a2_livestock.dta
  • vup_s7a3_livestock.dta
  • vup_s7a4_livestock.dta
    .dta
  • vup_s7b1_land_agriculture.dta
  • vup_s7b2_land_agriculture.dta
  • vup_s7c_parcels.dta
    .dta
  • vup_s7d_large_crop.dta
  • vup_s7e_small_crop.dta
    .dta
  • vup_s7f_income_agriculture.dta
    .dta
  • vup_s7g_expenditure_agriculture.dta
    .dta
  • vup_s7h_transformation_agriculture.dta
  • vup_s8a1_expenditure.dta
  • vup_s8a2_expenditure.dta
    .dta
  • vup_s8a3_expenditure.dta
    .dta
  • vup_s8b_expenditure.dta
    .dta
  • vup_s8c_farming.dta
    .dta
  • vup_s9a_transfers_out.dta
    .dta
  • vup_s9b_transfers_in.dta
    .dta
  • vup_s9c_vup.dta
  • vup_s9c1_vup.dta
  • vup_s10a1_credits.dta
    .dta
  • vup_s10a2_credits.dta
    .dta
  • vup_s10b_goods.dta
  • vup_s10c_savings.dta
    .dta

Article description (s8a3q0d)

Data file: vup_s8a3_expenditure.dta .dta

Overview

Valid: 91020
Invalid: -
Type: Discrete
Start: 38
End: 52
Width: 15
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Airtime (cell p 2460
2.7%
Bath soap 2460
2.7%
Batteries 2460
2.7%
Buses includin 2460
2.7%
Candle 2460
2.7%
Charcoal (cooki 2460
2.7%
Cigarettes 2460
2.7%
Cinema/movie en 2460
2.7%
Clothing repair 2460
2.7%
Dancing 2460
2.7%
Diesel (Fuel) 2460
2.7%
Dried tobacco l 2460
2.7%
Fuel for genera 2460
2.7%
Gas (propane) 2460
2.7%
Insecticides 2460
2.7%
Internet cafe 2460
2.7%
Kerosene 2460
2.7%
Laundry soap 2460
2.7%
Light bulbs 2460
2.7%
Matches/lighter 2460
2.7%
Mobile phone ba 2460
2.7%
Motorcycle/Bicy 2460
2.7%
Newspapers 2460
2.7%
Other household 2460
2.7%
Other non-food 2460
2.7%
Other soaps and 2460
2.7%
Other transport 2460
2.7%
Parking 2460
2.7%
Petrol (Fuel) 2460
2.7%
Public phone ch 2460
2.7%
Shoes repair 2460
2.7%
Stadium entry 2460
2.7%
Stationary (pap 2460
2.7%
Taxi fees (Voit 2460
2.7%
Toilet paper 2460
2.7%
Vehicles Lubric 2460
2.7%
Wood (cooking) 2460
2.7%
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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