Integrated Household Living Conditions Survey, Wave 5, VUP, 2016-2017.
Rwanda, 2016 - 2017
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Reference ID
RWA_2016-2017_EICV-W5-VUP_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
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Metadata
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
Page views
16769
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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
District Name (district)
Data file: vup_S7A2_livestock
Overview
Valid:
1136
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
21
End:
22
Width:
2
Range:
11 - 57
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Nyarugenge | 35 |
3.1%
|
| 12 | Gasabo | 112 |
9.9%
|
| 13 | Kicukiro | 53 |
4.7%
|
| 21 | Nyanza | 10 |
0.9%
|
| 22 | Gisagara | 36 |
3.2%
|
| 23 | Nyaruguru | 39 |
3.4%
|
| 24 | Huye | 22 |
1.9%
|
| 25 | Nyamagabe | 27 |
2.4%
|
| 26 | Ruhango | 37 |
3.3%
|
| 27 | Muhanga | 32 |
2.8%
|
| 28 | Kamonyi | 11 |
1%
|
| 31 | Karongi | 27 |
2.4%
|
| 32 | Rutsiro | 17 |
1.5%
|
| 33 | Rubavu | 12 |
1.1%
|
| 34 | Nyabihu | 28 |
2.5%
|
| 35 | Ngororero | 21 |
1.8%
|
| 36 | Rusizi | 29 |
2.6%
|
| 37 | Nyamasheke | 69 |
6.1%
|
| 41 | Rulindo | 55 |
4.8%
|
| 42 | Gakenke | 78 |
6.9%
|
| 43 | Musanze | 45 |
4%
|
| 44 | Burera | 59 |
5.2%
|
| 45 | Gicumbi | 70 |
6.2%
|
| 51 | Rwamagana | 27 |
2.4%
|
| 52 | Nyagatare | 22 |
1.9%
|
| 53 | Gatsibo | 41 |
3.6%
|
| 54 | Kayonza | 26 |
2.3%
|
| 55 | Kirehe | 33 |
2.9%
|
| 56 | Ngoma | 36 |
3.2%
|
| 57 | Bugesera | 27 |
2.4%
|
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.