Integrated Household Living Conditions Survey - Wave 4, VUP Sample, 2013-2014.
Rwanda, 2013 - 2014
Get Microdata
Reference ID
RWA_2013-2014_EICV-W4-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
25241
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- Data files
- vup_partb_filter_questions_hh
- vup_s0_s5_household.dta
- vup_s1_s2_s3_s4_s6a_s6e_s6f_person
-
vup_s5e_access
to services - vup_s7a1_livestock.dta
- vup_s7a2_livestock
- vup_s7a3_livestock
- vup_s7a4_livestock.dta
- vup_s7b1_land_agriculture
- vup_s7b2_land_agriculture
- vup_s7c_parcels.dta
- vup_s7d_large_crop
- vup_s7e_small_crop.dta
- vup_s7f_income_agriculture.dta
- vup_s7g_expenditure_agriculture.dta
- vup_s7h_transformation_agriculture
- vup_s8a1_expenditure
- 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
- vup_s9c1_vup
- vup_s10a1_credits.dta
- vup_s10a2_credits.dta
- vup_s10b_goods
- vup_s10c_savings.dta
Metres to drinking water source used (s5cq8)
Data file: vup_s0_s5_household.dta
Overview
Valid:
361
Invalid:
2099
Type:
Discrete
Decimal:
0
Start:
132
End:
135
Width:
4
Range:
0 - 9999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 1 |
0.3%
|
|
| 2 | 1 |
0.3%
|
|
| 4 | 1 |
0.3%
|
|
| 5 | 1 |
0.3%
|
|
| 10 | 1 |
0.3%
|
|
| 20 | 2 |
0.6%
|
|
| 30 | 1 |
0.3%
|
|
| 40 | 1 |
0.3%
|
|
| 50 | 6 |
1.7%
|
|
| 60 | 1 |
0.3%
|
|
| 80 | 2 |
0.6%
|
|
| 100 | 11 |
3%
|
|
| 150 | 1 |
0.3%
|
|
| 200 | 15 |
4.2%
|
|
| 250 | 4 |
1.1%
|
|
| 300 | 26 |
7.2%
|
|
| 350 | 2 |
0.6%
|
|
| 400 | 5 |
1.4%
|
|
| 450 | 2 |
0.6%
|
|
| 500 | 24 |
6.6%
|
|
| 600 | 10 |
2.8%
|
|
| 650 | 1 |
0.3%
|
|
| 700 | 7 |
1.9%
|
|
| 800 | 15 |
4.2%
|
|
| 850 | 4 |
1.1%
|
|
| 900 | 2 |
0.6%
|
|
| 1000 | 47 |
13%
|
|
| 1050 | 1 |
0.3%
|
|
| 1100 | 3 |
0.8%
|
|
| 1200 | 8 |
2.2%
|
|
| 1250 | 3 |
0.8%
|
|
| 1400 | 1 |
0.3%
|
|
| 1500 | 25 |
6.9%
|
|
| 1600 | 2 |
0.6%
|
|
| 1700 | 2 |
0.6%
|
|
| 1800 | 2 |
0.6%
|
|
| 2000 | 33 |
9.1%
|
|
| 2100 | 1 |
0.3%
|
|
| 2200 | 2 |
0.6%
|
|
| 2400 | 2 |
0.6%
|
|
| 2500 | 15 |
4.2%
|
|
| 2600 | 2 |
0.6%
|
|
| 2700 | 1 |
0.3%
|
|
| 3000 | 18 |
5%
|
|
| 3200 | 1 |
0.3%
|
|
| 3500 | 1 |
0.3%
|
|
| 4000 | 8 |
2.2%
|
|
| 4100 | 1 |
0.3%
|
|
| 4200 | 1 |
0.3%
|
|
| 4300 | 1 |
0.3%
|
|
| 4400 | 1 |
0.3%
|
|
| 4500 | 3 |
0.8%
|
|
| 4700 | 2 |
0.6%
|
|
| 5000 | 15 |
4.2%
|
|
| 5200 | 1 |
0.3%
|
|
| 5500 | 1 |
0.3%
|
|
| 5700 | 1 |
0.3%
|
|
| 5800 | 1 |
0.3%
|
|
| 6000 | 4 |
1.1%
|
|
| 6500 | 1 |
0.3%
|
|
| 7000 | 2 |
0.6%
|
|
| 8000 | 1 |
0.3%
|
|
| 9000 | Greater than 9 km | 0 |
0%
|
| 9999 | Missing | 0 |
0%
|
| Sysmiss | 2099 |
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.