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    Home / Central Data Catalog / RWA_2016_EICV-VUP_V01_M / variable [F20]
central

Integrated Household Living Conditions Survey 2016-2017, Vision 2020 Umurenge Program Panel

Rwanda, 2016 - 2017
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Reference ID
RWA_2016_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
16151
Downloads
113
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • VUP_Panel_for_merge.dta
  • vup_S0_S5_Household.dta
  • vup_S1_S2_S3_S4_S6A_S6E_Person.dta
  • vup_S5F_Access_to_services.dta
  • vup_S6B_Employement_6C_Salaried_S6D_Business.dta
  • vup_S7A1_livestock.dta
  • vup_S7A2_livestock.dta
  • vup_S7A3_livestock.dta
  • vup_S7A4_livestock.dta
  • vup_S7B1_land_Agriculture.dta
  • vup_S7B2_land_Agriculture.dta
  • vup_S7C_parcels.dta
  • vup_S7D_large_crop.dta
  • vup_S7E_small_crop.dta
  • vup_S7F_income_agriculture.dta
  • vup_S7G_expenditure_agriculture.dta
  • vup_S7H_transformation_agriculture.dta
  • vup_S8A1_expenditure.dta
  • 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_ubudehe_and_Rssp_schemes.dta
  • vup_S9C3_Vup_ubudehe_and_Rssp_schemes.dta
  • vup_S9C4_Vup_ubudehe_and_Rssp_schemes.dta
  • vup_S9D_other_income.dta
  • vup_S9E_Other_expenditure.dta
  • vup_S10A1_Credits.dta
  • vup_S10A2_Listing_of_credits.dta
  • vup_S10B1_Durable_household_goods.dta
  • vup_S10B2_Durable_household_goods.dta
  • vup_S10C1_Savings.dta
  • vup_S10C2_Tontine.dta

Article (s8a3q0)

Data file: vup_S8A3_expenditure.dta

Overview

Valid: 60828
Invalid: -
Minimum: 1
Maximum: 37
Type: Discrete
Decimal: 0
Start: 43
End: 44
Width: 2
Range: 1 - 37
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Stadium entry 1644
2.7%
2 Cinema/movie entry/ Video club 1644
2.7%
3 Dancing 1644
2.7%
4 Newspapers 1644
2.7%
5 Stationary _paper, staples, pen, pencil, etc.._ 1644
2.7%
6 Laundry soap 1644
2.7%
7 Bath soap 1644
2.7%
8 Other soaps and Detergents 1644
2.7%
9 Insecticides 1644
2.7%
10 Toilet paper 1644
2.7%
11 Petrol _Fuel_ 1644
2.7%
12 Diesel _Fuel_ 1644
2.7%
13 Vehicles Lubricants 1644
2.7%
14 Parking 1644
2.7%
15 Taxi fees _Voiture_ 1644
2.7%
16 Buses including Coaster and minibus 1644
2.7%
17 Motorcycle/Bicycle 1644
2.7%
18 Other transport, e,g Boats etc 1644
2.7%
19 Gas _propane_ 1644
2.7%
20 Kerosene 1644
2.7%
21 Charcoal _cooking_ 1644
2.7%
22 Wood _cooking_ 1644
2.7%
23 Batteries 1644
2.7%
24 Light bulbs 1644
2.7%
25 Candle 1644
2.7%
26 Matches/lighter 1644
2.7%
27 Fuel for generator 1644
2.7%
28 Clothing repair 1644
2.7%
29 Shoes repair 1644
2.7%
30 Other household repairs,furniture, beds, kitchen items 1644
2.7%
31 Mobile phone battery recharging 1644
2.7%
32 Airtime _cell phone_ cards/Me 2 you 1644
2.7%
33 Public phone charges 1644
2.7%
34 Internet cafe 1644
2.7%
35 Dried tobacco leaves 1644
2.7%
36 Cigarettes 1644
2.7%
37 Other non-food products 1644
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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