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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F28]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
VUP

Rwanda, 2013 - 2014
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Reference ID
RWA-NISR-DDI-EICV4-VUP-01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 28, 2016
Last modified
Jun 29, 2016
Page views
1031481
Downloads
126241
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • vup_partb_filter_questions_hh
  • vup_s0_s5_household.dta
  • vup_s1_s2_s3_s4_s6a_s6e_s6f_person
  • vup_s5e_access
    to services
  • vup_s7a1_livestock.dta
  • vup_s7a2_livestock
  • vup_s7a3_livestock
  • vup_s7a4_livestock.dta
  • vup_s7b1_land_agriculture
  • vup_s7b2_land_agriculture
  • vup_s7c_parcels.dta
  • vup_s7d_large_crop
  • vup_s7e_small_crop.dta
  • vup_s7f_income_agriculture.dta
  • vup_s7g_expenditure_agriculture.dta
  • vup_s7h_transformation_agriculture
  • vup_s8a1_expenditure
  • 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
  • vup_s9c1_vup
  • vup_s10a1_credits.dta
  • vup_s10a2_credits.dta
  • vup_s10b_goods
  • vup_s10c_savings.dta

District (district)

Data file: vup_s10b_goods

Overview

Valid: 66420
Invalid: 0
Type: Discrete
Decimal: 0
Start: 8
End: 9
Width: 2
Range: 11 - 57
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Nyarugenge 2916
4.4%
12 Gasabo 7047
10.6%
13 Kicukiro 4617
7%
21 Nyanza 1296
2%
22 Gisagara 2592
3.9%
23 Nyaruguru 2268
3.4%
24 Huye 972
1.5%
25 Nyamagabe 1620
2.4%
26 Ruhango 1620
2.4%
27 Muhanga 1620
2.4%
28 Kamonyi 972
1.5%
31 Karongi 1944
2.9%
32 Rutsiro 1296
2%
33 Rubavu 972
1.5%
34 Nyabihu 1620
2.4%
35 Ngororero 1620
2.4%
36 Rusizi 1944
2.9%
37 Nyamasheke 3564
5.4%
41 Rulindo 1944
2.9%
42 Gakenke 3564
5.4%
43 Musanze 1620
2.4%
44 Burera 3240
4.9%
45 Gicumbi 2592
3.9%
51 Rwamagana 972
1.5%
52 Nyagatare 2268
3.4%
53 Gatsibo 1620
2.4%
54 Kayonza 1944
2.9%
55 Kirehe 1944
2.9%
56 Ngoma 2916
4.4%
57 Bugesera 1296
2%
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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