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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F28]
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

Article 2 purchase price (s10bq4b)

Data file: vup_s10b_goods

Overview

Valid: 598
Invalid: 65822
Type: Discrete
Decimal: 0
Start: 104
End: 108
Width: 5
Range: 0 - 99999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 46
7.7%
500 1
0.2%
1000 2
0.3%
1200 1
0.2%
1500 2
0.3%
2000 5
0.8%
2500 3
0.5%
3000 24
4%
3500 7
1.2%
3800 1
0.2%
4000 27
4.5%
4500 9
1.5%
5000 62
10.4%
5100 1
0.2%
5500 5
0.8%
6000 47
7.9%
6500 1
0.2%
7000 37
6.2%
7500 2
0.3%
8000 35
5.9%
8300 1
0.2%
8500 5
0.8%
8700 1
0.2%
9000 28
4.7%
9500 11
1.8%
9800 1
0.2%
10000 64
10.7%
10500 2
0.3%
11000 14
2.3%
11500 2
0.3%
12000 41
6.9%
13000 13
2.2%
13500 3
0.5%
14000 12
2%
14500 2
0.3%
15000 27
4.5%
15400 1
0.2%
15500 2
0.3%
16000 5
0.8%
17000 1
0.2%
17500 1
0.2%
18000 6
1%
19000 1
0.2%
20000 3
0.5%
21000 2
0.3%
22000 3
0.5%
23000 2
0.3%
24000 1
0.2%
25000 4
0.7%
27000 1
0.2%
30000 4
0.7%
35000 5
0.8%
40000 2
0.3%
45000 1
0.2%
50000 4
0.7%
57600 1
0.2%
60000 1
0.2%
99999 Missing 2
0.3%
Sysmiss 65822
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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