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    Home / Central Data Catalog / RWA_2016_EICV-VUP_V01_M / variable [F12]
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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
20771
Downloads
149
  • 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

Cost of renting (s7cq9)

Data file: vup_S7C_parcels.dta

Overview

Valid: 509
Invalid: 4120
Minimum: 0
Maximum: 1000000
Type: Discrete
Decimal: 0
Start: 90
End: 96
Width: 7
Range: 0 - 1000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Not applicable 14
2.8%
15 1
0.2%
17 1
0.2%
1000 8
1.6%
1200 2
0.4%
1500 8
1.6%
2000 37
7.3%
2400 1
0.2%
2500 10
2%
2800 1
0.2%
3000 38
7.5%
3500 6
1.2%
4000 31
6.1%
4200 2
0.4%
4500 2
0.4%
5000 63
12.4%
5250 1
0.2%
5500 1
0.2%
5600 1
0.2%
6000 34
6.7%
6400 1
0.2%
6500 1
0.2%
7000 16
3.1%
7500 8
1.6%
8000 18
3.5%
8250 1
0.2%
8400 1
0.2%
8500 3
0.6%
8750 1
0.2%
9000 2
0.4%
10000 47
9.2%
10500 1
0.2%
11000 1
0.2%
11550 1
0.2%
12000 12
2.4%
13000 3
0.6%
13600 2
0.4%
14000 3
0.6%
15000 27
5.3%
15600 1
0.2%
16000 3
0.6%
17000 3
0.6%
17500 1
0.2%
18000 1
0.2%
19500 1
0.2%
20000 31
6.1%
21000 1
0.2%
22500 1
0.2%
23000 1
0.2%
25000 11
2.2%
28000 2
0.4%
30000 8
1.6%
32500 1
0.2%
33600 1
0.2%
33750 1
0.2%
35000 5
1%
36000 1
0.2%
40000 3
0.6%
42000 1
0.2%
45000 1
0.2%
50000 1
0.2%
52000 1
0.2%
60000 4
0.8%
62000 1
0.2%
64800 1
0.2%
70000 2
0.4%
80000 5
1%
100000 1
0.2%
200000 2
0.4%
1000000 1
0.2%
Sysmiss 4120
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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