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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F22]
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_s9a_transfers_out.dta

Overview

Valid: 13140
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 654
5%
12 Gasabo 1677
12.8%
13 Kicukiro 700
5.3%
21 Nyanza 176
1.3%
22 Gisagara 378
2.9%
23 Nyaruguru 261
2%
24 Huye 81
0.6%
25 Nyamagabe 163
1.2%
26 Ruhango 252
1.9%
27 Muhanga 308
2.3%
28 Kamonyi 173
1.3%
31 Karongi 246
1.9%
32 Rutsiro 179
1.4%
33 Rubavu 140
1.1%
34 Nyabihu 192
1.5%
35 Ngororero 266
2%
36 Rusizi 275
2.1%
37 Nyamasheke 461
3.5%
41 Rulindo 398
3%
42 Gakenke 838
6.4%
43 Musanze 423
3.2%
44 Burera 761
5.8%
45 Gicumbi 407
3.1%
51 Rwamagana 286
2.2%
52 Nyagatare 616
4.7%
53 Gatsibo 410
3.1%
54 Kayonza 635
4.8%
55 Kirehe 578
4.4%
56 Ngoma 829
6.3%
57 Bugesera 377
2.9%
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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