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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2013-2014_EICV-W4-VUP_V01_EN_M_V01_A_OCS / variable [F14]
agricultural-surveys

Integrated Household Living Conditions Survey - Wave 4, VUP Sample, 2013-2014.

Rwanda, 2013 - 2014
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Reference ID
RWA_2013-2014_EICV-W4-VUP_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
Page views
25385
Downloads
991
  • 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_s7f_income_agriculture.dta

Overview

Valid: 29520
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 1296
4.4%
12 Gasabo 3132
10.6%
13 Kicukiro 2052
7%
21 Nyanza 576
2%
22 Gisagara 1152
3.9%
23 Nyaruguru 1008
3.4%
24 Huye 432
1.5%
25 Nyamagabe 720
2.4%
26 Ruhango 720
2.4%
27 Muhanga 720
2.4%
28 Kamonyi 432
1.5%
31 Karongi 864
2.9%
32 Rutsiro 576
2%
33 Rubavu 432
1.5%
34 Nyabihu 720
2.4%
35 Ngororero 720
2.4%
36 Rusizi 864
2.9%
37 Nyamasheke 1584
5.4%
41 Rulindo 864
2.9%
42 Gakenke 1584
5.4%
43 Musanze 720
2.4%
44 Burera 1440
4.9%
45 Gicumbi 1152
3.9%
51 Rwamagana 432
1.5%
52 Nyagatare 1008
3.4%
53 Gatsibo 720
2.4%
54 Kayonza 864
2.9%
55 Kirehe 864
2.9%
56 Ngoma 1296
4.4%
57 Bugesera 576
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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