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    Home / Central Data Catalog / RWA_2016_EICV-VUP_V01_M / variable [F5]
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Integrated Household Living Conditions Survey 2016-2017, Vision 2020 Umurenge Program Panel

Rwanda, 2016 - 2017
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Reference ID
RWA_2016_EICV-VUP_v01_M
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
16445
Downloads
113
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

Subsidize Amount- benefits (s6cq21a)

Data file: vup_S6B_Employement_6C_Salaried_S6D_Business.dta

Overview

Valid: 133
Invalid: 9047
Minimum: 100
Maximum: 150000
Type: Discrete
Decimal: 0
Start: 88
End: 93
Width: 6
Range: 100 - 150000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
100 1
0.8%
200 1
0.8%
300 1
0.8%
500 4
3%
1000 5
3.8%
2000 10
7.5%
2500 1
0.8%
3000 10
7.5%
4000 1
0.8%
5000 28
21.1%
6000 3
2.3%
7000 3
2.3%
7500 2
1.5%
9000 1
0.8%
10000 29
21.8%
12000 1
0.8%
15000 17
12.8%
20000 4
3%
21000 1
0.8%
25000 2
1.5%
30000 5
3.8%
45000 1
0.8%
50000 1
0.8%
150000 1
0.8%
Sysmiss 9047
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.
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