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    Home / Central Data Catalog / RWA-NISR-EICV5-VUP-2016-2017-V01 / variable [F2]
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Integrated Household Living Conditions Survey (EICV5), 2016-2017, VUP

Rwanda, 2016 - 2017
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Reference ID
RWA-NISR-EICV5-VUP-2016-2017-V01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 04, 2019
Last modified
Feb 04, 2019
Page views
791561
Downloads
85860
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  • Data files
  • VUP_Panel_for_merge
  • vup_S0_S5_Household
  • vup_S1_S2_S3_S4_S6A_S6E_Person
  • vup_S5F_Access_to_services
  • vup_S6B_Employement_6C_Salaried_S6D_Business
  • vup_S7A1_livestock
  • vup_S7A2_livestock
  • vup_S7A3_livestock
  • vup_S7A4_livestock
  • vup_S7B1_land_Agriculture
  • vup_S7B2_land_Agriculture
  • vup_S7C_parcels
  • vup_S7D_large_crop
  • vup_S7E_small_crop
  • vup_S7F_income_agriculture
  • vup_S7G_expenditure_agriculture
  • vup_S7H_transformation_agriculture
  • vup_S8A1_expenditure
  • vup_S8A2_expenditure
  • vup_S8A3_expenditure
  • vup_S8B_expenditure
  • vup_S8C_farming
  • vup_S9A_transfers_out
  • vup_S9B_transfers_in
  • vup_S9C_Vup_ubudehe_and_Rssp_schemes
  • vup_S9C3_Vup_ubudehe_and_Rssp_schemes
  • vup_S9C4_Vup_ubudehe_and_Rssp_schemes
  • vup_S9D_other_income
  • vup_S9E_Other_expenditure
  • vup_S10A1_Credits
  • vup_S10A2_Listing_of_credits
  • vup_S10B1_Durable_household_goods
  • vup_S10B2_Durable_household_goods
  • vup_S10C1_Savings
  • vup_S10C2_Tontine

Type of nearest drinking water source code (s5cq3)

Data file: vup_S0_S5_Household

Overview

Valid: 1566
Invalid: 78
Type: Discrete
Decimal: 0
Start: 108
End: 109
Width: 2
Range: 3 - 12
Format: Numeric

Questions and instructions

Categories
Value Category Cases
3 Public stand/pipe 766
48.9%
4 Tube Well /Borehole 48
3.1%
5 Protected well 25
1.6%
6 Unprotected well 16
1%
7 Protected spring 612
39.1%
8 Unprotected spring 54
3.4%
9 Rain water 0
0%
10 Tanker truck 1
0.1%
11 Surface water _river or lake_ 35
2.2%
12 Other _specify_ 9
0.6%
Sysmiss 78
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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