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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F11]
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
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  • 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_s7c_parcels.dta

Overview

Valid: 8157
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 213
2.6%
12 Gasabo 829
10.2%
13 Kicukiro 202
2.5%
21 Nyanza 180
2.2%
22 Gisagara 382
4.7%
23 Nyaruguru 332
4.1%
24 Huye 150
1.8%
25 Nyamagabe 218
2.7%
26 Ruhango 258
3.2%
27 Muhanga 230
2.8%
28 Kamonyi 132
1.6%
31 Karongi 226
2.8%
32 Rutsiro 166
2%
33 Rubavu 63
0.8%
34 Nyabihu 250
3.1%
35 Ngororero 244
3%
36 Rusizi 177
2.2%
37 Nyamasheke 360
4.4%
41 Rulindo 223
2.7%
42 Gakenke 536
6.6%
43 Musanze 239
2.9%
44 Burera 630
7.7%
45 Gicumbi 348
4.3%
51 Rwamagana 136
1.7%
52 Nyagatare 247
3%
53 Gatsibo 190
2.3%
54 Kayonza 259
3.2%
55 Kirehe 206
2.5%
56 Ngoma 380
4.7%
57 Bugesera 151
1.9%
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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