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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2016-2017_EICV-W5-CS_V01_EN_M_V01_A_OCS / variable [F17]
agricultural-surveys

Integrated Household Living Conditions Survey - Wave 5, Cross-Sectional Sample, 2016-2017.

Rwanda, 2016 - 2017
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Reference ID
RWA_2016-2017_EICV-W5-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
28231
Downloads
615
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • cs_S0_S5_Household
  • cs_S1_S2_S3_S4_S6A_S6E_Person
  • cs_S5F_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_ubudehe_and_Rssp_schemes
  • cs_S9C3_Vup_ubudehe_and_Rssp_schemes
  • cs_S9C4_Vup_ubudehe_and_Rssp_schemes
  • cs_S9D_other_income
  • cs_S9E_Other_expenditure
  • cs_S10A1_Credits
  • cs_S10A2_Listing_of_credits
  • cs_S10B1_Durable_household_goods
  • cs_S10B2_Durable_household_goods
  • cs_S10C1_Savings
  • cs_S10C2_Tontine
  • EICV5_Poverty_file

Article (s8a1q0)

Data file: cs_S8A1_expenditure

Overview

Valid: 0
Invalid: 0
Type: Discrete
Decimal: 0
Start: 35
End: 36
Width: 2
Range: 1 - 69
Format: Numeric

Questions and instructions

Categories
Value Category
1 Fabric _cloth_ for men
2 Fabric _cloth_ for women
3 Wrap around cloth for women_Igitenge_
4 Men's garments
5 Men's tailoring
6 Men's underwear
7 Men's clothing accessories _ties, hats, belts_
8 Women's garments
9 Women's tailoring
10 Women's underwear
11 Women's clothing accessories _scarves, hats, belts_
12 Children's clothing _excluding school uniform_
13 Children's underwear
14 Children's tailoring
15 Men's footwear
16 Women's footwear
17 Children's footwear
18 Jewelry
19 Watches _timepiece_
20 Clocks
21 Metal/Wooden Case
22 Suitcases
23 Travel bags
24 Hand bags _other than women?s handbags_
25 women?s handbags
26 Other personal effects, e.g. wallet
27 Umbrellas
28 Sunglasses
29 Building repairs _supplies_
30 Building repairs _labor_
31 Mattresses
32 Rugs, floor coverings, carpets
33 Mats
34 Furniture repair
35 Draperies _curtains_
36 Bed Pillows
37 Blanket
38 Bed Sheets
39 Mosquito nets
40 Tablecloth
41 Dish towel/Rag/Wiper
42 Cloth for wiping table ware
43 Other household textiles
44 Local Energy saving Stove
45 Other small household appliances _tea kettles etc._
46 Torch _flashlight_
47 Electric clothes iron
48 Non-electric clothes iron
49 Repair of household appliances
50 Dishes _tableware_
51 Kitchen and domestic utensils_Pots and pans_
52 Cutlery, flatware and silverware
53 Other household and garden tools
54 International travel ?bus fares
55 Aeroplane flights
56 Motor boat transport
57 Vehicle/ Motor insurance
58 Musical instruments
59 Sporting equipment
60 Subscription to DSTV, Star times e.t.c
61 Hotel overnight and hotel services
62 Spectacles / eye lenses
63 Dentures
64 Hearing aids/prosthetic limbs/ disability aids
65 Hospitalization
66 Givingbirth
67 Healthinsurance _Mutuelle,RAMA,MMI, etc._
68 Nursery and daycare fees
69 Issue of administrative _official_ documents
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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