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    Home / Central Data Catalog / RWA_2016_EICV-VUP_V01_M / variable [F2]
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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
16569
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

Estimated rent for dwelling (s5bq3a)

Data file: vup_S0_S5_Household.dta

Overview

Valid: 1501
Invalid: 143
Minimum: 0
Maximum: 600000
Type: Discrete
Decimal: 0
Start: 74
End: 79
Width: 6
Range: 0 - 600000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 2
0.1%
500 19
1.3%
700 1
0.1%
800 1
0.1%
1000 109
7.3%
1500 56
3.7%
1600 2
0.1%
1750 1
0.1%
2000 225
15%
2400 8
0.5%
2500 43
2.9%
2800 5
0.3%
3000 272
18.1%
3200 1
0.1%
3500 17
1.1%
4000 85
5.7%
4500 1
0.1%
5000 243
16.2%
6000 33
2.2%
6400 1
0.1%
7000 24
1.6%
8000 19
1.3%
10000 121
8.1%
12000 8
0.5%
15000 65
4.3%
16000 1
0.1%
17000 1
0.1%
18000 1
0.1%
20000 41
2.7%
25000 19
1.3%
30000 27
1.8%
35000 6
0.4%
40000 10
0.7%
45000 2
0.1%
50000 10
0.7%
60000 3
0.2%
80000 3
0.2%
100000 3
0.2%
120000 3
0.2%
150000 4
0.3%
180000 1
0.1%
200000 2
0.1%
300000 1
0.1%
600000 1
0.1%
Sysmiss 143
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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