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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
16287
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 2 purchase price (s10bq6b)

Data file: vup_S10B2_Durable_household_goods.dta

Overview

Valid: 197
Invalid: 40903
Minimum: 0
Maximum: 250000
Type: Discrete
Decimal: 0
Start: 72
End: 77
Width: 6
Range: 0 - 250000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 22
11.2%
1000 1
0.5%
2000 5
2.5%
2500 3
1.5%
3000 16
8.1%
3500 4
2%
4000 18
9.1%
4500 1
0.5%
5000 10
5.1%
5500 1
0.5%
6000 15
7.6%
6500 1
0.5%
6800 1
0.5%
7000 14
7.1%
8000 14
7.1%
8500 7
3.6%
9000 9
4.6%
10000 12
6.1%
11000 3
1.5%
12000 7
3.6%
13000 2
1%
14000 1
0.5%
15000 6
3%
20000 4
2%
25000 2
1%
26000 1
0.5%
28000 1
0.5%
35000 3
1.5%
39000 1
0.5%
40000 2
1%
55000 1
0.5%
65000 2
1%
70000 1
0.5%
75000 1
0.5%
80000 2
1%
120000 1
0.5%
125000 1
0.5%
250000 1
0.5%
Sysmiss 40903
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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