Integrated Household Living Conditions Survey 2016-2017, Vision 2020 Umurenge Program Panel
Rwanda, 2016 - 2017
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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- Data files
- VUP_Panel_for_merge.dta
- vup_S0_S5_Household.dta
- vup_S1_S2_S3_S4_S6A_S6E_Person.dta
- vup_S5F_Access_to_services.dta
- vup_S6B_Employement_6C_Salaried_S6D_Business.dta
- vup_S7A1_livestock.dta
- vup_S7A2_livestock.dta
- vup_S7A3_livestock.dta
- vup_S7A4_livestock.dta
- vup_S7B1_land_Agriculture.dta
- vup_S7B2_land_Agriculture.dta
- vup_S7C_parcels.dta
- vup_S7D_large_crop.dta
- vup_S7E_small_crop.dta
- vup_S7F_income_agriculture.dta
- vup_S7G_expenditure_agriculture.dta
- vup_S7H_transformation_agriculture.dta
- vup_S8A1_expenditure.dta
- 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_ubudehe_and_Rssp_schemes.dta
- vup_S9C3_Vup_ubudehe_and_Rssp_schemes.dta
- vup_S9C4_Vup_ubudehe_and_Rssp_schemes.dta
- vup_S9D_other_income.dta
- vup_S9E_Other_expenditure.dta
- vup_S10A1_Credits.dta
- vup_S10A2_Listing_of_credits.dta
- vup_S10B1_Durable_household_goods.dta
- vup_S10B2_Durable_household_goods.dta
- vup_S10C1_Savings.dta
- vup_S10C2_Tontine.dta
Specify the VUP programmes that your HH benefitted in year 2017 (s9cq4j)
Data file: vup_S9C4_Vup_ubudehe_and_Rssp_schemes.dta
Overview
Valid:
109
Invalid:
45
Minimum:
3
Maximum:
6
Type:
Discrete
Decimal:
0
Start:
55
End:
55
Width:
1
Range:
3 - 6
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Direct Support only | 0 |
0%
|
| 2 | Public Works only | 0 |
0%
|
| 3 | Financial services only | 95 |
87.2%
|
| 4 | DS and FS services | 4 |
3.7%
|
| 5 | Expanded PW | 0 |
0%
|
| 6 | PW and FS Services | 10 |
9.2%
|
| 7 | Expanded PW and FS | 0 |
0%
|
| 8 | Not applicable/No Benefit | 0 |
0%
|
| Sysmiss | 45 |
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.