Integrated Household Living Conditions Survey 2016-2017
Rwanda, 2016 - 2017
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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- Data files
- cs_S0_S5_Household.dta
- cs_S1_S2_S3_S4_S6A_S6E_Person.dta
- cs_S5F_Access_to_services.dta
- cs_S6B_Employement_6C_Salaried_S6D_Business.dta
- cs_S7A1_livestock.dta
- cs_S7A2_livestock.dta
- cs_S7A3_livestock.dta
- cs_S7A4_livestock.dta
- cs_S7B1_land_Agriculture.dta
- cs_S7B2_land_Agriculture.dta
- cs_S7C_parcels.dta
- cs_S7D_large_crop.dta
- cs_S7E_small_crop.dta
- cs_S7F_income_agriculture.dta
- cs_S7G_expenditure_agriculture.dta
- cs_S7H_transformation_agriculture.dta
- cs_S8A1_expenditure.dta
- cs_S8A2_expenditure.dta
- cs_S8A3_expenditure.dta
- cs_S8B_expenditure.dta
- cs_S8C_farming.dta
- cs_S9A_transfers_out.dta
- cs_S9B_transfers_in.dta
- cs_S9C_Vup_ubudehe_and_Rssp_schemes.dta
- cs_S9C3_Vup_ubudehe_and_Rssp_schemes.dta
- cs_S9C4_Vup_ubudehe_and_Rssp_schemes.dta
- cs_S9D_other_income.dta
- cs_S9E_Other_expenditure.dta
- cs_S10A1_Credits.dta
- cs_S10A2_Listing_of_credits.dta
- cs_S10B1_Durable_household_goods.dta
- cs_S10B2_Durable_household_goods.dta
- cs_S10C1_Savings.dta
- cs_S10C2_Tontine.dta
- EICV5_Poverty_file.dta
Two main fuels you used on this cook stove during last 12 months_second most use (s5cq18b72)
Data file: cs_S0_S5_Household.dta
Overview
Valid:
14580
Invalid:
-
Minimum:
1
Maximum:
99
Type:
Discrete
Decimal:
0
Start:
236
End:
237
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Kerosene | 1 |
0%
|
| 2 | Charcoal | 662 |
4.5%
|
| 3 | Wood | 435 |
3%
|
| 4 | Solar | 2 |
0%
|
| 5 | Animal Waste/ Dung | 1 |
0%
|
| 6 | Crop Residue / Plant Biomass | 1392 |
9.5%
|
| 7 | Saw Dust | 12 |
0.1%
|
| 8 | Processed Biomass Briquette | 0 |
0%
|
| 9 | Biogas | 9 |
0.1%
|
| 10 | LPG/ cooking gas | 47 |
0.3%
|
| 11 | Electric | 7 |
0%
|
| 12 | Peat /Nyiramugengeri | 0 |
0%
|
| 13 | Other, specify | 27 |
0.2%
|
| 99 | No secondary fuel | 11985 |
82.2%
|
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.