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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / COL_2017_ES_V01_M / variable [F1]
enterprise_surveys

Enterprise Survey 2017

Colombia, 2017 - 2018
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Reference ID
COL_2017_ES_v01_M
DOI
https://doi.org/10.48529/hfyx-3n90
Producer(s)
The World Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Nov 27, 2018
Last modified
Nov 27, 2018
Page views
60456
Downloads
1730
  • Study Description
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  • colombia_2017_full_data.dta

Cost For Establishment To Re-Purchase All Of Its Machinery (n7a)

Data file: colombia_2017_full_data.dta

Overview

Valid: 565
Invalid: 428
Minimum: -9
Maximum: 150000000000000
Type: Discrete
Decimal: 0
Range: -9 - 150000000000000
Format: Numeric

Questions and instructions

Literal question
N. PERFORMANCE
Hypothetically, if this establishment were to purchase the assets it uses now, in their current condition and regardless of whether the establishment owns them or not, how much would they cost, independently of whether they are owned, rented or leased? Machinery, vehicles, and equipment
Categories
Value Category Cases
-9 Don't know (spontaneous) 121
12.2%
5000000 1
0.1%
6000000 1
0.1%
13000000 1
0.1%
20000000 8
0.8%
28000000 2
0.2%
29000000 1
0.1%
30000000 4
0.4%
35000000 1
0.1%
40000000 3
0.3%
42000000 1
0.1%
45000000 1
0.1%
50000000 7
0.7%
53000000 1
0.1%
55000000 1
0.1%
60000000 4
0.4%
70000000 3
0.3%
72000000 1
0.1%
74000000 1
0.1%
75000000 1
0.1%
80000000 3
0.3%
85000000 2
0.2%
90000000 2
0.2%
94000000 1
0.1%
100000000 9
0.9%
110000000 4
0.4%
115000000 2
0.2%
120000000 4
0.4%
139000000 1
0.1%
150000000 16
1.6%
170000000 2
0.2%
180000000 3
0.3%
200000000 15
1.5%
210000000 1
0.1%
220000000 3
0.3%
230000000 2
0.2%
248000000 1
0.1%
250000000 11
1.1%
280000000 1
0.1%
300000000 18
1.8%
316000000 1
0.1%
320000000 1
0.1%
350000000 6
0.6%
390000000 1
0.1%
400000000 11
1.1%
410000000 1
0.1%
422000000 1
0.1%
432000000 1
0.1%
436000000 1
0.1%
450000000 2
0.2%
470000000 1
0.1%
500000000 17
1.7%
550000000 4
0.4%
569000000 1
0.1%
600000000 12
1.2%
634000000 1
0.1%
650000000 2
0.2%
700000000 10
1%
731000000 1
0.1%
737000000 1
0.1%
750000000 1
0.1%
800000000 7
0.7%
850000000 1
0.1%
900000000 6
0.6%
1000000000 19
1.9%
1100000000 2
0.2%
1115000000 1
0.1%
1200000000 7
0.7%
1208000000 1
0.1%
1238000000 1
0.1%
1300000000 4
0.4%
1400000000 1
0.1%
1500000000 6
0.6%
1600000000 1
0.1%
1652000000 1
0.1%
1677000000 1
0.1%
1800000000 4
0.4%
1866000000 1
0.1%
2000000000 16
1.6%
2080000000 1
0.1%
2300000000 1
0.1%
2400000000 1
0.1%
2500000000 13
1.3%
2590000000 1
0.1%
2600000000 1
0.1%
2676000000 1
0.1%
2742000000 1
0.1%
2800000000 1
0.1%
3000000000 6
0.6%
3400000000 1
0.1%
3500000000 4
0.4%
3900000000 1
0.1%
4000000000 6
0.6%
4166000000 1
0.1%
4200000000 1
0.1%
4500000000 2
0.2%
4647000000 1
0.1%
5000000000 12
1.2%
5150000000 1
0.1%
5200000000 2
0.2%
5500000000 1
0.1%
5700000000 1
0.1%
6000000000 6
0.6%
7000000000 3
0.3%
8000000000 6
0.6%
8500000000 1
0.1%
9000000000 1
0.1%
10000000000 13
1.3%
10500000000 1
0.1%
10554000000 1
0.1%
11500000000 1
0.1%
12000000000 3
0.3%
13000000000 1
0.1%
14000000000 1
0.1%
15000000000 4
0.4%
17000000000 1
0.1%
18000000000 2
0.2%
20000000000 3
0.3%
22000000000 2
0.2%
23000000000 1
0.1%
24000000000 1
0.1%
29000000000 1
0.1%
30000000000 6
0.6%
33000000000 1
0.1%
34500000000 1
0.1%
35000000000 1
0.1%
45000000000 1
0.1%
50000000000 2
0.2%
55000000000 1
0.1%
60000000000 1
0.1%
70000000000 3
0.3%
78000000000 1
0.1%
80000000000 1
0.1%
100000000000 1
0.1%
114000000000 1
0.1%
130000000000 1
0.1%
150000000000 1
0.1%
300000000000 2
0.2%
450000000000 1
0.1%
500000000000 1
0.1%
805000000000 1
0.1%
150000000000000 1
0.1%
NA 428
43.1%
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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