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    Home / Central Data Catalog / RWA_2016_EICV-VUP_V01_M / variable [F33]
central

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
16067
Downloads
113
  • Study Description
  • Data Dictionary
  • Downloads
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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

Article 3 current value (s10bq7c)

Data file: vup_S10B2_Durable_household_goods.dta

Overview

Valid: 151
Invalid: 40949
Minimum: 1000
Maximum: 400000
Type: Discrete
Decimal: 0
Start: 96
End: 101
Width: 6
Range: 1000 - 400000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1000 1
0.7%
1500 2
1.3%
2000 8
5.3%
2500 3
2%
3000 25
16.6%
3500 5
3.3%
4000 13
8.6%
4500 2
1.3%
5000 23
15.2%
6000 7
4.6%
7000 7
4.6%
8000 7
4.6%
9000 1
0.7%
10000 14
9.3%
12000 2
1.3%
15000 3
2%
17000 1
0.7%
20000 7
4.6%
25000 4
2.6%
27000 1
0.7%
30000 3
2%
35000 2
1.3%
40000 2
1.3%
50000 3
2%
60000 3
2%
80000 1
0.7%
400000 1
0.7%
Sysmiss 40949
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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