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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 [F28]
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
25262
Downloads
986
  • 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 1 purchase price (s10bq4a)

Data file: vup_s10b_goods

Overview

Valid: 2668
Invalid: 63752
Type: Discrete
Decimal: 0
Start: 97
End: 103
Width: 7
Range: 0 - 9999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 279
10.5%
400 1
0%
800 1
0%
1000 5
0.2%
1200 2
0.1%
1300 1
0%
1500 35
1.3%
1600 1
0%
1700 2
0.1%
1800 3
0.1%
2000 60
2.2%
2500 46
1.7%
2700 2
0.1%
2800 4
0.1%
3000 138
5.2%
3200 2
0.1%
3300 2
0.1%
3500 75
2.8%
3600 2
0.1%
3700 2
0.1%
3800 6
0.2%
4000 168
6.3%
4200 7
0.3%
4300 2
0.1%
4500 116
4.3%
4700 2
0.1%
4800 2
0.1%
5000 304
11.4%
5200 2
0.1%
5300 1
0%
5400 1
0%
5500 45
1.7%
5800 2
0.1%
6000 145
5.4%
6500 11
0.4%
6800 1
0%
7000 127
4.8%
7300 1
0%
7500 19
0.7%
7800 1
0%
8000 137
5.1%
8500 6
0.2%
9000 77
2.9%
9300 1
0%
9500 24
0.9%
10000 181
6.8%
10500 5
0.2%
10800 1
0%
11000 36
1.3%
11500 6
0.2%
12000 124
4.6%
12500 10
0.4%
12700 1
0%
13000 42
1.6%
13500 4
0.1%
14000 21
0.8%
14500 2
0.1%
15000 69
2.6%
15500 1
0%
16000 15
0.6%
16500 1
0%
17000 5
0.2%
18000 20
0.7%
19000 3
0.1%
20000 33
1.2%
21000 5
0.2%
22000 7
0.3%
23500 1
0%
24000 5
0.2%
25000 16
0.6%
26000 2
0.1%
27000 5
0.2%
28000 6
0.2%
29000 1
0%
30000 19
0.7%
31000 3
0.1%
32000 2
0.1%
33000 1
0%
35000 11
0.4%
37000 2
0.1%
38000 2
0.1%
39000 2
0.1%
40000 13
0.5%
42000 2
0.1%
43000 1
0%
44000 1
0%
44500 1
0%
45000 14
0.5%
50000 8
0.3%
52000 1
0%
55000 3
0.1%
56000 1
0%
60000 6
0.2%
63000 1
0%
65000 4
0.1%
70000 3
0.1%
72000 1
0%
75000 4
0.1%
80000 3
0.1%
90000 1
0%
100000 6
0.2%
102000 1
0%
105000 1
0%
120000 2
0.1%
127000 1
0%
180000 2
0.1%
200000 2
0.1%
250000 1
0%
285000 1
0%
300000 4
0.1%
450000 1
0%
500000 1
0%
800000 1
0%
900000 1
0%
7000000 1
0%
9999999 Missing 33
1.2%
Sysmiss 63752
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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