Integrated Household Living Conditions Survey 2016-2017, Vision 2020 Umurenge Program Panel
Rwanda, 2016 - 2017
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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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
Amount spend for cooking fuel during last month (s5cq18b8a)
Data file: vup_S0_S5_Household.dta
Overview
Valid:
1644
Invalid:
-
Minimum:
0
Maximum:
888888
Type:
Discrete
Decimal:
0
Start:
223
End:
228
Width:
6
Range:
0 - 888888
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 1192 |
72.5%
|
|
| 100 | 1 |
0.1%
|
|
| 200 | 4 |
0.2%
|
|
| 250 | 2 |
0.1%
|
|
| 300 | 10 |
0.6%
|
|
| 400 | 11 |
0.7%
|
|
| 500 | 32 |
1.9%
|
|
| 600 | 7 |
0.4%
|
|
| 700 | 3 |
0.2%
|
|
| 800 | 8 |
0.5%
|
|
| 850 | 1 |
0.1%
|
|
| 900 | 1 |
0.1%
|
|
| 1000 | 42 |
2.6%
|
|
| 1100 | 1 |
0.1%
|
|
| 1200 | 6 |
0.4%
|
|
| 1250 | 1 |
0.1%
|
|
| 1500 | 19 |
1.2%
|
|
| 1600 | 2 |
0.1%
|
|
| 1700 | 1 |
0.1%
|
|
| 1800 | 2 |
0.1%
|
|
| 2000 | 51 |
3.1%
|
|
| 2100 | 2 |
0.1%
|
|
| 2200 | 2 |
0.1%
|
|
| 2400 | 4 |
0.2%
|
|
| 2500 | 10 |
0.6%
|
|
| 2700 | 1 |
0.1%
|
|
| 2800 | 3 |
0.2%
|
|
| 3000 | 41 |
2.5%
|
|
| 3200 | 4 |
0.2%
|
|
| 3500 | 10 |
0.6%
|
|
| 3600 | 1 |
0.1%
|
|
| 3700 | 1 |
0.1%
|
|
| 3800 | 1 |
0.1%
|
|
| 4000 | 11 |
0.7%
|
|
| 4200 | 2 |
0.1%
|
|
| 4500 | 9 |
0.5%
|
|
| 4900 | 1 |
0.1%
|
|
| 5000 | 26 |
1.6%
|
|
| 5350 | 1 |
0.1%
|
|
| 5400 | 1 |
0.1%
|
|
| 5500 | 1 |
0.1%
|
|
| 5600 | 2 |
0.1%
|
|
| 6000 | 26 |
1.6%
|
|
| 6300 | 2 |
0.1%
|
|
| 6500 | 2 |
0.1%
|
|
| 6800 | 1 |
0.1%
|
|
| 7000 | 16 |
1%
|
|
| 7500 | 8 |
0.5%
|
|
| 8000 | 13 |
0.8%
|
|
| 8300 | 1 |
0.1%
|
|
| 8400 | 1 |
0.1%
|
|
| 8500 | 1 |
0.1%
|
|
| 9000 | 8 |
0.5%
|
|
| 9200 | 1 |
0.1%
|
|
| 9500 | 2 |
0.1%
|
|
| 10000 | 2 |
0.1%
|
|
| 10400 | 2 |
0.1%
|
|
| 10500 | 1 |
0.1%
|
|
| 10800 | 1 |
0.1%
|
|
| 11000 | 1 |
0.1%
|
|
| 12000 | 4 |
0.2%
|
|
| 13600 | 1 |
0.1%
|
|
| 14000 | 6 |
0.4%
|
|
| 15000 | 4 |
0.2%
|
|
| 15500 | 1 |
0.1%
|
|
| 16500 | 1 |
0.1%
|
|
| 18000 | 2 |
0.1%
|
|
| 20000 | 1 |
0.1%
|
|
| 888888 | Don't kwon | 4 |
0.2%
|
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.