Integrated Household Living Conditions Survey, Wave 5, VUP, 2016-2017.
Rwanda, 2016 - 2017
Get Microdata
Reference ID
RWA_2016-2017_EICV-W5-VUP_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
Collections
Metadata
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
Page views
16660
Downloads
168
- 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
Cost of renting (s7cq9)
Data file: vup_S7C_parcels
Overview
Valid:
509
Invalid:
4120
Type:
Discrete
Decimal:
0
Start:
86
End:
92
Width:
7
Range:
0 - 1000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | Not applicable | 14 |
2.8%
|
| 15 | 1 |
0.2%
|
|
| 17 | 1 |
0.2%
|
|
| 1000 | 8 |
1.6%
|
|
| 1200 | 2 |
0.4%
|
|
| 1500 | 8 |
1.6%
|
|
| 2000 | 37 |
7.3%
|
|
| 2400 | 1 |
0.2%
|
|
| 2500 | 10 |
2%
|
|
| 2800 | 1 |
0.2%
|
|
| 3000 | 38 |
7.5%
|
|
| 3500 | 6 |
1.2%
|
|
| 4000 | 31 |
6.1%
|
|
| 4200 | 2 |
0.4%
|
|
| 4500 | 2 |
0.4%
|
|
| 5000 | 63 |
12.4%
|
|
| 5250 | 1 |
0.2%
|
|
| 5500 | 1 |
0.2%
|
|
| 5600 | 1 |
0.2%
|
|
| 6000 | 34 |
6.7%
|
|
| 6400 | 1 |
0.2%
|
|
| 6500 | 1 |
0.2%
|
|
| 7000 | 16 |
3.1%
|
|
| 7500 | 8 |
1.6%
|
|
| 8000 | 18 |
3.5%
|
|
| 8250 | 1 |
0.2%
|
|
| 8400 | 1 |
0.2%
|
|
| 8500 | 3 |
0.6%
|
|
| 8750 | 1 |
0.2%
|
|
| 9000 | 2 |
0.4%
|
|
| 10000 | 47 |
9.2%
|
|
| 10500 | 1 |
0.2%
|
|
| 11000 | 1 |
0.2%
|
|
| 11550 | 1 |
0.2%
|
|
| 12000 | 12 |
2.4%
|
|
| 13000 | 3 |
0.6%
|
|
| 13600 | 2 |
0.4%
|
|
| 14000 | 3 |
0.6%
|
|
| 15000 | 27 |
5.3%
|
|
| 15600 | 1 |
0.2%
|
|
| 16000 | 3 |
0.6%
|
|
| 17000 | 3 |
0.6%
|
|
| 17500 | 1 |
0.2%
|
|
| 18000 | 1 |
0.2%
|
|
| 19500 | 1 |
0.2%
|
|
| 20000 | 31 |
6.1%
|
|
| 21000 | 1 |
0.2%
|
|
| 22500 | 1 |
0.2%
|
|
| 23000 | 1 |
0.2%
|
|
| 25000 | 11 |
2.2%
|
|
| 28000 | 2 |
0.4%
|
|
| 30000 | 8 |
1.6%
|
|
| 32500 | 1 |
0.2%
|
|
| 33600 | 1 |
0.2%
|
|
| 33750 | 1 |
0.2%
|
|
| 35000 | 5 |
1%
|
|
| 36000 | 1 |
0.2%
|
|
| 40000 | 3 |
0.6%
|
|
| 42000 | 1 |
0.2%
|
|
| 45000 | 1 |
0.2%
|
|
| 50000 | 1 |
0.2%
|
|
| 52000 | 1 |
0.2%
|
|
| 60000 | 4 |
0.8%
|
|
| 62000 | 1 |
0.2%
|
|
| 64800 | 1 |
0.2%
|
|
| 70000 | 2 |
0.4%
|
|
| 80000 | 5 |
1%
|
|
| 100000 | 1 |
0.2%
|
|
| 200000 | 2 |
0.4%
|
|
| 1000000 | 1 |
0.2%
|
|
| Sysmiss | 4120 |
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.