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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / COL_2006_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2006

Colombia, 2006
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Reference ID
COL_2006_ES_v01_M_WB
DOI
https://doi.org/10.48529/f4m6-pz56
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
Mar 24, 2011
Last modified
Sep 26, 2013
Page views
41694
Downloads
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  • Study Description
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  • Colombia-2006--full
    data-

Hypothetical cost to purchase its own land and buildings (Ln7a)

Data file: Colombia-2006--full data-

Overview

Valid: 634
Invalid: 366
Type: Discrete
Decimal: 0
Start: 1212
End: 1223
Width: 12
Range: -9 - 728831000
Format: Numeric

Questions and instructions

Literal question
If this establishment had to hypothetically purchase its own land and buildings, and machinery and equipment in use now, as they are in their current condition, how much would it cost to purchase each of the following?
Machinery and equipment (including vehicles)
Categories
Value Category Cases
-9 43
6.8%
-8 1
0.2%
166000 1
0.2%
350000 1
0.2%
1000000 1
0.2%
1200000 1
0.2%
1800000 1
0.2%
1850000 1
0.2%
2700000 1
0.2%
3000000 2
0.3%
4000000 2
0.3%
5000000 4
0.6%
6000000 1
0.2%
7000000 1
0.2%
8000000 3
0.5%
10000000 11
1.7%
11000000 1
0.2%
12000000 4
0.6%
14000000 1
0.2%
15000000 6
0.9%
16000000 1
0.2%
19000000 1
0.2%
20000000 19
3%
21000000 1
0.2%
24000000 4
0.6%
25000000 8
1.3%
28000000 1
0.2%
28289000 1
0.2%
30000000 18
2.8%
33961461 1
0.2%
35000000 8
1.3%
38000000 2
0.3%
38800000 1
0.2%
39052516 1
0.2%
40000000 19
3%
41000000 1
0.2%
43000000 1
0.2%
45000000 2
0.3%
50000000 21
3.3%
60000000 21
3.3%
60007000 1
0.2%
64000000 2
0.3%
65000000 1
0.2%
69000000 1
0.2%
69437000 1
0.2%
70000000 8
1.3%
75000000 3
0.5%
80000000 15
2.4%
81819581 1
0.2%
85000000 1
0.2%
90000000 12
1.9%
93000000 1
0.2%
95000000 1
0.2%
98000000 1
0.2%
100000000 38
6%
108000000 1
0.2%
110000000 1
0.2%
110223299 1
0.2%
120000000 14
2.2%
125000000 1
0.2%
130000000 1
0.2%
140000000 3
0.5%
140500000 1
0.2%
142000000 1
0.2%
150000000 28
4.4%
160000000 2
0.3%
162000000 1
0.2%
170000000 1
0.2%
180000000 4
0.6%
193551000 1
0.2%
200000000 35
5.5%
210000000 1
0.2%
220000000 4
0.6%
230000000 2
0.3%
250000000 15
2.4%
266000000 1
0.2%
290000000 1
0.2%
298000000 1
0.2%
300000000 22
3.5%
303000000 1
0.2%
308000000 1
0.2%
315000000 1
0.2%
317000000 1
0.2%
320000000 1
0.2%
330000000 1
0.2%
335428000 1
0.2%
350000000 8
1.3%
361350000 1
0.2%
373000000 1
0.2%
385000000 1
0.2%
400000000 14
2.2%
414000000 1
0.2%
445000000 1
0.2%
450000000 5
0.8%
460000000 1
0.2%
480000000 1
0.2%
500000000 19
3%
548000000 1
0.2%
550000000 1
0.2%
600000000 13
2.1%
700000000 6
0.9%
750000000 1
0.2%
765000000 1
0.2%
800000000 4
0.6%
900000000 5
0.8%
1000000000 20
3.2%
1100000000 1
0.2%
1200000000 8
1.3%
1300000000 1
0.2%
1379000000 1
0.2%
1400000000 1
0.2%
1500000000 7
1.1%
1700000000 1
0.2%
1800000000 1
0.2%
1950000000 1
0.2%
2000000000 8
1.3%
2184000000 1
0.2%
2500000000 3
0.5%
2800000000 1
0.2%
3000000000 6
0.9%
3342000000 1
0.2%
3500000000 2
0.3%
4000000000 2
0.3%
4500000000 1
0.2%
5000000000 3
0.5%
6000000000 2
0.3%
6500000000 1
0.2%
7000000000 1
0.2%
8750000000 1
0.2%
9000000000 1
0.2%
10000000000 1
0.2%
11000000000 1
0.2%
12000000000 1
0.2%
14000000000 1
0.2%
15000000000 2
0.3%
20000000000 1
0.2%
21000000000 1
0.2%
25000000000 1
0.2%
30000000000 2
0.3%
35000000000 1
0.2%
40000000000 1
0.2%
77000000000 1
0.2%
96000000000 1
0.2%
220000000000 1
0.2%
287528000000 1
0.2%
Sysmiss 366
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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