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    Home / Central Data Catalog / RWA_2013_EICV-VUP_V01_M / variable [F28]
central

Integrated Household Living Conditions Survey 2013-2014, Vision 2020 Umurenge Program

Rwanda, 2013 - 2014
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Reference ID
RWA_2013_EICV-VUP_v01_M
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
15878
Downloads
545
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • vup_partb_filter_questions_hh.dta
  • vup_s0_s5_household.dta
    .dta
  • vup_s1_s2_s3_s4_s6a_s6e_s6f_person.dta
  • vup_s5e_access
    to services.dta
  • vup_s7a1_livestock.dta
    .dta
  • vup_s7a2_livestock.dta
  • vup_s7a3_livestock.dta
  • vup_s7a4_livestock.dta
    .dta
  • vup_s7b1_land_agriculture.dta
  • vup_s7b2_land_agriculture.dta
  • vup_s7c_parcels.dta
    .dta
  • vup_s7d_large_crop.dta
  • vup_s7e_small_crop.dta
    .dta
  • vup_s7f_income_agriculture.dta
    .dta
  • vup_s7g_expenditure_agriculture.dta
    .dta
  • vup_s7h_transformation_agriculture.dta
  • vup_s8a1_expenditure.dta
  • vup_s8a2_expenditure.dta
    .dta
  • vup_s8a3_expenditure.dta
    .dta
  • vup_s8b_expenditure.dta
    .dta
  • vup_s8c_farming.dta
    .dta
  • vup_s9a_transfers_out.dta
    .dta
  • vup_s9b_transfers_in.dta
    .dta
  • vup_s9c_vup.dta
  • vup_s9c1_vup.dta
  • vup_s10a1_credits.dta
    .dta
  • vup_s10a2_credits.dta
    .dta
  • vup_s10b_goods.dta
  • vup_s10c_savings.dta
    .dta

Article 3 purchase price (s10bq4c)

Data file: vup_s10b_goods.dta

Overview

Valid: 178
Invalid: 66242
Minimum: 0
Maximum: 99999
Type: Discrete
Decimal: 0
Start: 79
End: 83
Width: 5
Range: 0 - 99999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 16
9%
1500 1
0.6%
3000 3
1.7%
4000 11
6.2%
4500 2
1.1%
5000 16
9%
5500 1
0.6%
6000 12
6.7%
6200 1
0.6%
6500 1
0.6%
7000 15
8.4%
8000 9
5.1%
8500 2
1.1%
9000 9
5.1%
9500 1
0.6%
10000 27
15.2%
11000 1
0.6%
11500 2
1.1%
12000 9
5.1%
12500 3
1.7%
13000 4
2.2%
13500 1
0.6%
14000 1
0.6%
15000 10
5.6%
17000 1
0.6%
18000 2
1.1%
18500 1
0.6%
20000 2
1.1%
23000 2
1.1%
24000 2
1.1%
25000 2
1.1%
26000 1
0.6%
35000 3
1.7%
40000 1
0.6%
50000 1
0.6%
99999 Missing 2
1.1%
Sysmiss 66242
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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