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    Home / Central Data Catalog / RWA-NISR-EICV5-CS-2016-2017-V0.1 / variable [F1]
central

Integrated Household Living Conditions Survey (EICV5), 2016-2017
Cross-Sectional Sample

Rwanda, 2016 - 2017
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Reference ID
RWA-NISR-EICV5-CS-2016-2017-V0.1
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 11, 2018
Last modified
Dec 16, 2018
Page views
944498
Downloads
110781
  • Study Description
  • Data Dictionary
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  • Data files
  • cs_S0_S5_Household
  • cs_S1_S2_S3_S4_S6A_S6E_Person
  • cs_S5F_Access_to_services
  • cs_S6B_Employement_6C_Salaried_S6D_Business
  • cs_S7A1_livestock
  • cs_S7A2_livestock
  • cs_S7A3_livestock
  • cs_S7A4_livestock
  • cs_S7B1_land_Agriculture
  • cs_S7B2_land_Agriculture
  • cs_S7C_parcels
  • cs_S7D_large_crop
  • cs_S7E_small_crop
  • cs_S7F_income_agriculture
  • cs_S7G_expenditure_agriculture
  • cs_S7H_transformation_agriculture
  • cs_S8A1_expenditure
  • cs_S8A2_expenditure
  • cs_S8A3_expenditure
  • cs_S8B_expenditure
  • cs_S8C_farming
  • cs_S9A_transfers_out
  • cs_S9B_transfers_in
  • cs_S9C_Vup_ubudehe_and_Rssp_schemes
  • cs_S9C3_Vup_ubudehe_and_Rssp_schemes
  • cs_S9C4_Vup_ubudehe_and_Rssp_schemes
  • cs_S9D_other_income
  • cs_S9E_Other_expenditure
  • cs_S10A1_Credits
  • cs_S10A2_Listing_of_credits
  • cs_S10B1_Durable_household_goods
  • cs_S10B2_Durable_household_goods
  • cs_S10C1_Savings
  • cs_S10C2_Tontine
  • EICV5_Poverty_file

District Name (district)

Data file: cs_S0_S5_Household

Overview

Valid: 0
Invalid: 0
Type: Discrete
Decimal: 0
Start: 13
End: 14
Width: 2
Range: 11 - 57
Format: Numeric

Questions and instructions

Categories
Value Category
11 Nyarugenge
12 Gasabo
13 Kicukiro
21 Nyanza
22 Gisagara
23 Nyaruguru
24 Huye
25 Nyamagabe
26 Ruhango
27 Muhanga
28 Kamonyi
31 Karongi
32 Rutsiro
33 Rubavu
34 Nyabihu
35 Ngororero
36 Rusizi
37 Nyamasheke
41 Rulindo
42 Gakenke
43 Musanze
44 Burera
45 Gicumbi
51 Rwamagana
52 Nyagatare
53 Gatsibo
54 Kayonza
55 Kirehe
56 Ngoma
57 Bugesera
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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