Integrated Household Living Conditions Survey (EICV5), 2016-2017, VUP
Rwanda, 2016 - 2017
Get Microdata
Reference ID
RWA-NISR-EICV5-VUP-2016-2017-V01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Created on
Feb 04, 2019
Last modified
Feb 04, 2019
Page views
791561
Downloads
85860
- 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
Amount spend for cooking fuel during last month (s5cq18b8a)
Data file: vup_S0_S5_Household
Overview
Valid:
1644
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
195
End:
200
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.