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
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- 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
Value of cooking stove (s5cq18b4)
Data file: vup_S0_S5_Household
Overview
Valid:
734
Invalid:
910
Type:
Discrete
Decimal:
0
Start:
181
End:
188
Width:
8
Range:
1 - 88888888
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 7 |
1%
|
|
| 100 | 6 |
0.8%
|
|
| 200 | 13 |
1.8%
|
|
| 300 | 15 |
2%
|
|
| 400 | 5 |
0.7%
|
|
| 500 | 108 |
14.7%
|
|
| 600 | 11 |
1.5%
|
|
| 700 | 11 |
1.5%
|
|
| 800 | 12 |
1.6%
|
|
| 888 | 2 |
0.3%
|
|
| 900 | 2 |
0.3%
|
|
| 1000 | 109 |
14.9%
|
|
| 1100 | 1 |
0.1%
|
|
| 1200 | 12 |
1.6%
|
|
| 1300 | 1 |
0.1%
|
|
| 1400 | 3 |
0.4%
|
|
| 1500 | 37 |
5%
|
|
| 1700 | 2 |
0.3%
|
|
| 2000 | 60 |
8.2%
|
|
| 2500 | 17 |
2.3%
|
|
| 2600 | 1 |
0.1%
|
|
| 2700 | 1 |
0.1%
|
|
| 3000 | 29 |
4%
|
|
| 3200 | 2 |
0.3%
|
|
| 3500 | 3 |
0.4%
|
|
| 4000 | 13 |
1.8%
|
|
| 4500 | 2 |
0.3%
|
|
| 5000 | 30 |
4.1%
|
|
| 6000 | 7 |
1%
|
|
| 7000 | 1 |
0.1%
|
|
| 8000 | 6 |
0.8%
|
|
| 9000 | 2 |
0.3%
|
|
| 10000 | 51 |
6.9%
|
|
| 11000 | 2 |
0.3%
|
|
| 12000 | 9 |
1.2%
|
|
| 13000 | 3 |
0.4%
|
|
| 14000 | 6 |
0.8%
|
|
| 15000 | 30 |
4.1%
|
|
| 18000 | 3 |
0.4%
|
|
| 20000 | 41 |
5.6%
|
|
| 21000 | 1 |
0.1%
|
|
| 25000 | 17 |
2.3%
|
|
| 28000 | 2 |
0.3%
|
|
| 30000 | 21 |
2.9%
|
|
| 33000 | 1 |
0.1%
|
|
| 40000 | 5 |
0.7%
|
|
| 45000 | 1 |
0.1%
|
|
| 50000 | 4 |
0.5%
|
|
| 60000 | 1 |
0.1%
|
|
| 80000 | 2 |
0.3%
|
|
| 90000 | 1 |
0.1%
|
|
| 88888888 | Don't know | 2 |
0.3%
|
| Sysmiss | 910 |
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.