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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 [F17]
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
25614
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

Where did you buy it most often (s8a1q4)

Data file: vup_s8a1_expenditure

Overview

Valid: 28593
Invalid: 141147
Type: Discrete
Decimal: 0
Start: 169
End: 170
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Small shop/boutique 4786
16.7%
2 Supermarket/big shop 83
0.3%
3 Specialised shop 223
0.8%
4 Market 19118
66.9%
5 Mobile seller 693
2.4%
6 Individual 481
1.7%
7 Service provider 3174
11.1%
8 Bar/restaurant 0
0%
9 Other 19
0.1%
10 Do not ever buy 1
0%
98 Don't know 8
0%
99 Missing 7
0%
Sysmiss 141147
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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