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    Home / Central Data Catalog / RWA-NISR-EICV4-CS-2013-2014-V01 / variable [F30]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
Cross-Sectional Sample

Rwanda, 2013 - 2014
Get Microdata
Reference ID
RWA-NISR-EICV4-CS-2013-2014-V01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 29, 2016
Last modified
Jun 22, 2026
Page views
2078738
Downloads
188977
  • Study Description
  • Data Dictionary
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  • Get Microdata
  • Data files
  • cs_s0_s5_household
  • cs_s1_s2_s3_s4_s6a_s6e_s6f_person
  • cs_s5e_access
    to services
  • cs_s6b_employement_6c_salaried_s6d_business
  • cs_s7a1_livestock
  • cs_s7a2_livestock
  • cs_s7a3_livestock
  • cs_s7a4_livestock
  • cs_s7b1_land_agriculture
  • cs_s7b2_land_agriculture
  • cs_s7c_parcels
  • cs_s7d_large_crop
  • cs_s7e_small_crop
  • cs_s7f_income_agriculture
  • cs_s7g_expenditure_agriculture
  • cs_s7h_transformation_agriculture
  • cs_s8a1_expenditure
  • cs_s8a2_expenditure
  • cs_s8a3_expenditure
  • cs_s8b_expenditure
  • cs_s8c_farming
  • cs_s9a_transfers_out
  • cs_s9b_transfers_in
  • cs_s9c_vup
  • cs_s9c1_vup
  • cs_s9d_other_income
  • cs_s9e_other_expenditure
  • cs_s10a1_credits
  • cs_s10a2_credits
  • cs_s10b_goods
  • cs_s10c_savings
  • current_main_activity6
  • EICV4_poverty_file
  • EICV3_Povertyfile_Jan2014

Article 2 purchase price (s10bq4b)

Data file: cs_s10b_goods

Overview

Valid: 5205
Invalid: 384108
Type: Discrete
Decimal: 0
Start: 87
End: 92
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 330
6.3%
550 1
0%
600 1
0%
700 1
0%
800 1
0%
900 1
0%
1000 14
0.3%
1200 1
0%
1300 1
0%
1500 24
0.5%
1700 2
0%
1800 1
0%
2000 60
1.2%
2200 1
0%
2300 1
0%
2500 25
0.5%
3000 159
3.1%
3200 1
0%
3500 40
0.8%
3800 2
0%
4000 186
3.6%
4200 2
0%
4500 57
1.1%
4700 2
0%
4800 2
0%
5000 405
7.8%
5300 1
0%
5400 3
0.1%
5500 17
0.3%
5700 1
0%
5800 1
0%
6000 287
5.5%
6500 21
0.4%
7000 272
5.2%
7200 1
0%
7500 32
0.6%
8000 327
6.3%
8300 1
0%
8400 1
0%
8500 27
0.5%
9000 269
5.2%
9500 73
1.4%
9800 1
0%
9900 3
0.1%
10000 460
8.8%
10500 10
0.2%
11000 144
2.8%
11300 1
0%
11400 1
0%
11500 27
0.5%
12000 423
8.1%
12500 30
0.6%
12580 1
0%
13000 138
2.7%
13500 13
0.2%
14000 116
2.2%
14500 5
0.1%
15000 299
5.7%
15500 5
0.1%
16000 37
0.7%
16500 1
0%
17000 37
0.7%
17500 3
0.1%
18000 70
1.3%
18500 2
0%
19000 8
0.2%
19500 1
0%
20000 101
1.9%
20500 1
0%
21000 13
0.2%
22000 14
0.3%
23000 10
0.2%
24000 8
0.2%
25000 64
1.2%
26000 2
0%
27000 4
0.1%
27500 1
0%
28000 11
0.2%
29000 1
0%
30000 86
1.7%
31000 2
0%
32000 5
0.1%
34700 1
0%
35000 45
0.9%
36000 3
0.1%
37000 1
0%
38000 2
0%
40000 47
0.9%
41000 2
0%
42000 6
0.1%
43000 1
0%
45000 25
0.5%
50000 35
0.7%
52000 1
0%
55000 5
0.1%
56000 1
0%
60000 32
0.6%
65000 12
0.2%
68000 1
0%
70000 19
0.4%
71000 1
0%
72000 1
0%
74000 1
0%
75000 10
0.2%
80000 18
0.3%
85000 1
0%
90000 4
0.1%
95000 1
0%
100000 9
0.2%
110000 1
0%
120000 4
0.1%
134000 1
0%
150000 7
0.1%
180000 5
0.1%
198000 1
0%
200000 1
0%
250000 4
0.1%
300000 2
0%
320000 2
0%
330000 2
0%
350000 1
0%
390000 2
0%
400000 3
0.1%
419560 1
0%
450000 1
0%
462000 1
0%
480000 1
0%
520000 1
0%
750000 1
0%
999999 Missing 64
1.2%
Sysmiss 384108
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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