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    Home / Central Data Catalog / RWA_2016_EICV-VUP_V01_M / variable [F2]
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
16557
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

Distance in meters to the source used (s5cq8)

Data file: vup_S0_S5_Household.dta

Overview

Valid: 262
Invalid: 1382
Minimum: 5
Maximum: 7300
Type: Discrete
Decimal: 0
Start: 120
End: 123
Width: 4
Range: 5 - 7300
Format: Numeric

Questions and instructions

Categories
Value Category Cases
5 3
1.1%
10 1
0.4%
20 1
0.4%
50 5
1.9%
70 1
0.4%
80 1
0.4%
100 2
0.8%
150 3
1.1%
180 1
0.4%
200 9
3.4%
250 11
4.2%
270 1
0.4%
300 2
0.8%
350 2
0.8%
450 19
7.3%
550 3
1.1%
650 10
3.8%
700 3
1.1%
750 12
4.6%
800 2
0.8%
850 1
0.4%
950 42
16%
1150 4
1.5%
1200 3
1.1%
1250 2
0.8%
1350 1
0.4%
1450 32
12.2%
1700 1
0.4%
1800 18
6.9%
2200 1
0.4%
2300 12
4.6%
2400 3
1.1%
2500 1
0.4%
2800 25
9.5%
3800 6
2.3%
4300 2
0.8%
4800 11
4.2%
5800 4
1.5%
7300 1
0.4%
Sysmiss 1382
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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