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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2016-2017_EICV-W5-VUP_V01_EN_M_V01_A_OCS / variable [F19]
agricultural-surveys

Integrated Household Living Conditions Survey, Wave 5, VUP, 2016-2017.

Rwanda, 2016 - 2017
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Reference ID
RWA_2016-2017_EICV-W5-VUP_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
28616
Downloads
226
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • VUP_Panel_for_merge
  • vup_S0_S5_Household
  • vup_S1_S2_S3_S4_S6A_S6E_Person
  • vup_S5F_Access_to_services
  • vup_S6B_Employement_6C_Salaried_S6D_Business
  • vup_S7A1_livestock
  • vup_S7A2_livestock
  • vup_S7A3_livestock
  • vup_S7A4_livestock
  • vup_S7B1_land_Agriculture
  • vup_S7B2_land_Agriculture
  • vup_S7C_parcels
  • vup_S7D_large_crop
  • vup_S7E_small_crop
  • vup_S7F_income_agriculture
  • vup_S7G_expenditure_agriculture
  • vup_S7H_transformation_agriculture
  • vup_S8A1_expenditure
  • vup_S8A2_expenditure
  • vup_S8A3_expenditure
  • vup_S8B_expenditure
  • vup_S8C_farming
  • vup_S9A_transfers_out
  • vup_S9B_transfers_in
  • vup_S9C_Vup_ubudehe_and_Rssp_schemes
  • vup_S9C3_Vup_ubudehe_and_Rssp_schemes
  • vup_S9C4_Vup_ubudehe_and_Rssp_schemes
  • vup_S9D_other_income
  • vup_S9E_Other_expenditure
  • vup_S10A1_Credits
  • vup_S10A2_Listing_of_credits
  • vup_S10B1_Durable_household_goods
  • vup_S10B2_Durable_household_goods
  • vup_S10C1_Savings
  • vup_S10C2_Tontine

Article (s8a2q0)

Data file: vup_S8A2_expenditure

Overview

Valid: 90366
Invalid: 0
Type: Discrete
Decimal: 0
Start: 41
End: 42
Width: 2
Range: 1 - 55
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Laundry services _washing clothes & others_ 1644
1.8%
2 Rubbish collection services 1643
1.8%
3 Bleach 1643
1.8%
4 Disinfectant and cleaners 1643
1.8%
5 Broom/Brush 1643
1.8%
6 Shoe brush 1643
1.8%
7 Shoe polish 1643
1.8%
8 Other non-durable household goods e.g, sponges, window cleaning products etc 1643
1.8%
9 Wages for household _domestic_ help 1643
1.8%
10 Spare parts of Vehicle 1643
1.8%
11 Spare parts of motorcycle or bicycle _parts_ 1643
1.8%
12 Vehicle repair _labour_ 1643
1.8%
13 Repair of motorcycle or bicycle _labour_ 1643
1.8%
14 CD and DVD disks 1643
1.8%
15 Audio video cassettes & internet downloads 1643
1.8%
16 Film and developing 1643
1.8%
17 Toys 1643
1.8%
18 Natural & artificial flowers,foliages& plants 1643
1.8%
19 Other interior decorations 1643
1.8%
20 Other recreational or cultural items, _Pets:- cats, dogs, Birds_ 1643
1.8%
21 Books 1643
1.8%
22 Magazines 1643
1.8%
23 Stationary supplies _stapler, perforator, Folder, etc.._ 1643
1.8%
24 Passport photos 1643
1.8%
25 Men's haircut _barber_ 1643
1.8%
26 Women's haircut _stylist & treatment_ 1643
1.8%
27 Beauty Treatment/Massage_Non-medical_/ Manicure & steam bath 1643
1.8%
28 Shaving accessories 1643
1.8%
29 Combs 1643
1.8%
30 Other personal hygiene products, e.g; razor blades, nail cutters 1643
1.8%
31 Toothpaste _and accessories_ 1643
1.8%
32 Hair products 1643
1.8%
33 Beauty/cosmetics products 1643
1.8%
34 Deodorants 1643
1.8%
35 Sanitary napkins, pampers 1643
1.8%
36 Postage stamps 1643
1.8%
37 Rwandatel/MTN fixed line charges 1643
1.8%
38 Fax and courier services 1643
1.8%
39 Internet connection subscription _Rwandatel /MTN/TIGO/?_ 1643
1.8%
40 Security services 1643
1.8%
41 Photocopies/printing/scanner/other secretarial services 1643
1.8%
42 Diabetes drugs 1643
1.8%
43 Heart disease medicines 1643
1.8%
44 High/low blood pressure drugs 1643
1.8%
45 Asthma drugs 1643
1.8%
46 ARV drugs 1643
1.8%
47 Pain relievers _Aspirin/Paracetamol/Hedex,?_ 1643
1.8%
48 Antimalarial drugs 1643
1.8%
49 Astringents _iodine, alcohol_ 1643
1.8%
50 Worm medicine 1643
1.8%
51 Contraceptive drugs 1643
1.8%
52 Other basic/preventive medicines 1643
1.8%
53 Condoms 1643
1.8%
54 Medical consultations 1643
1.8%
55 Medical exams 1643
1.8%
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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