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
16848
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
Quantity sold in the last four weeks (s7a3q5a)
Data file: vup_S7A3_livestock
Overview
Valid:
133
Invalid:
10091
Type:
Discrete
Decimal:
0
Start:
46
End:
50
Width:
5
Range:
0 - 90001
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 2 |
1.5%
|
|
| 1 | 2 |
1.5%
|
|
| 2 | 1 |
0.8%
|
|
| 3 | 2 |
1.5%
|
|
| 4 | 1 |
0.8%
|
|
| 5 | 6 |
4.5%
|
|
| 6 | 4 |
3%
|
|
| 7 | 4 |
3%
|
|
| 8 | 4 |
3%
|
|
| 9 | 3 |
2.3%
|
|
| 10 | 17 |
12.8%
|
|
| 12 | 3 |
2.3%
|
|
| 15 | 4 |
3%
|
|
| 17 | 1 |
0.8%
|
|
| 20 | 8 |
6%
|
|
| 21 | 2 |
1.5%
|
|
| 24 | 2 |
1.5%
|
|
| 25 | 3 |
2.3%
|
|
| 27 | 1 |
0.8%
|
|
| 28 | 4 |
3%
|
|
| 30 | 2 |
1.5%
|
|
| 32 | 1 |
0.8%
|
|
| 40 | 2 |
1.5%
|
|
| 42 | 1 |
0.8%
|
|
| 44 | 1 |
0.8%
|
|
| 48 | 1 |
0.8%
|
|
| 50 | 2 |
1.5%
|
|
| 56 | 2 |
1.5%
|
|
| 60 | 8 |
6%
|
|
| 64 | 1 |
0.8%
|
|
| 66.5 | 1 |
0.8%
|
|
| 70 | 2 |
1.5%
|
|
| 80 | 1 |
0.8%
|
|
| 84 | 2 |
1.5%
|
|
| 90 | 4 |
3%
|
|
| 96 | 1 |
0.8%
|
|
| 98 | 1 |
0.8%
|
|
| 100 | 1 |
0.8%
|
|
| 120 | 2 |
1.5%
|
|
| 125 | 1 |
0.8%
|
|
| 130 | 1 |
0.8%
|
|
| 139 | 1 |
0.8%
|
|
| 140 | 3 |
2.3%
|
|
| 150 | 3 |
2.3%
|
|
| 168 | 1 |
0.8%
|
|
| 180 | 1 |
0.8%
|
|
| 187.5 | 1 |
0.8%
|
|
| 210 | 1 |
0.8%
|
|
| 224 | 3 |
2.3%
|
|
| 235 | 1 |
0.8%
|
|
| 300 | 2 |
1.5%
|
|
| 330 | 1 |
0.8%
|
|
| 400 | 2 |
1.5%
|
|
| 8000 | 1 |
0.8%
|
|
| 90001 | More than 900000 | 0 |
0%
|
| Sysmiss | 10091 |
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.