Integrated Household Living Conditions Survey 2013 -2014
Rwanda, 2013 - 2014
Created on
Mar 13, 2015
Last modified
Mar 29, 2019
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- Data files
- cs_s0_s5_household
- cs_s1_s2_s3_s4_s6a_s6e_s6f_person
-
cs_s5e_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
- cs_s9c1_vup
- cs_s9d_other_income
- cs_s9e_other_expenditure
- cs_s10a1_credits
- cs_s10a2_credits
- cs_s10b_goods
- cs_s10c_savings
- current_main_activity6
- EICV3_Povertyfile_Jan2014
- EICV4_poverty_file
Article (s8a3q0)
Data file: cs_s8a3_expenditure
Overview
Valid:
533503
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
18
End:
19
Width:
2
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | Stadium entry |
| 2 | Cinema/movie entry/ Video club |
| 3 | Dancing |
| 4 | Newspapers |
| 5 | Stationary (paper, staples, pen, pencil, etc..) |
| 6 | Laundry soap |
| 7 | Bath soap |
| 8 | Other soaps and Detergents |
| 9 | Insecticides |
| 10 | Toilet paper |
| 11 | Petrol (Fuel) |
| 12 | Diesel (Fuel) |
| 13 | Vehicles Lubricants |
| 14 | Parking |
| 15 | Taxi fees (Voiture) |
| 16 | Buses including Coaster and minibus |
| 17 | Motorcycle/Bicycle |
| 18 | Other transport, e,g Boats etc |
| 19 | Gas (propane) |
| 20 | Kerosene |
| 21 | Charcoal (cooking) |
| 22 | Wood (cooking) |
| 23 | Batteries |
| 24 | Light bulbs |
| 25 | Candle |
| 26 | Matches/lighter |
| 27 | Fuel for generator |
| 28 | Clothing repair |
| 29 | Shoes repair |
| 30 | Other household repairs,furniture, beds, kitchen items |
| 31 | Mobile phone battery recharging |
| 32 | Airtime (cell phone) cards/Me 2 you |
| 33 | Public phone charges |
| 34 | Internet cafe |
| 35 | Dried tobacco leaves |
| 36 | Cigarettes |
| 37 | Other non-food products |
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.