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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
16453
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

Value of cooking stove (s5cq18b4)

Data file: vup_S0_S5_Household.dta

Overview

Valid: 734
Invalid: 910
Minimum: 1
Maximum: 88888888
Type: Discrete
Decimal: 0
Start: 209
End: 216
Width: 8
Range: 1 - 88888888
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 7
1%
100 6
0.8%
200 13
1.8%
300 15
2%
400 5
0.7%
500 108
14.7%
600 11
1.5%
700 11
1.5%
800 12
1.6%
888 2
0.3%
900 2
0.3%
1000 109
14.9%
1100 1
0.1%
1200 12
1.6%
1300 1
0.1%
1400 3
0.4%
1500 37
5%
1700 2
0.3%
2000 60
8.2%
2500 17
2.3%
2600 1
0.1%
2700 1
0.1%
3000 29
4%
3200 2
0.3%
3500 3
0.4%
4000 13
1.8%
4500 2
0.3%
5000 30
4.1%
6000 7
1%
7000 1
0.1%
8000 6
0.8%
9000 2
0.3%
10000 51
6.9%
11000 2
0.3%
12000 9
1.2%
13000 3
0.4%
14000 6
0.8%
15000 30
4.1%
18000 3
0.4%
20000 41
5.6%
21000 1
0.1%
25000 17
2.3%
28000 2
0.3%
30000 21
2.9%
33000 1
0.1%
40000 5
0.7%
45000 1
0.1%
50000 4
0.5%
60000 1
0.1%
80000 2
0.3%
90000 1
0.1%
88888888 Don't know 2
0.3%
Sysmiss 910
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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