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    Home / Central Data Catalog / COL_2017_ES_V01_M / variable [F1]
central

Enterprise Survey 2017

Colombia, 2017 - 2018
Get Microdata
Reference ID
COL_2017_ES_v01_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Mar 29, 2019
Last modified
Mar 29, 2019
Page views
8250
  • Study Description
  • Data Dictionary
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  • Data files
  • colombia_2017_full_data.dta

Total Annual Expenditure For Purchases Of Equipment In Last Fiscal Yr (n5a)

Data file: colombia_2017_full_data.dta

Overview

Valid: 525
Invalid: 468
Minimum: -9
Maximum: 4000000000000000
Type: Discrete
Decimal: 0
Range: -
Format:

Questions and instructions

Literal question
K. FINANCE
In fiscal year [insert last complete fiscal year], how much did this establishment spend on purchases of:
- New or used machinery, vehicles, and equipment
Categories
Value Category
-9 Don't know (spontaneous)
0
1000000
2000000
3000000
4000000
5000000
6000000
7000000
8000000
9000000
10000000
11000000
12000000
15000000
17000000
18000000
20000000
25000000
30000000
33000000
35000000
38000000
40000000
42000000
45000000
50000000
52000000
56000000
57000000
60000000
65000000
67000000
69000000
70000000
79000000
80000000
90000000
93000000
96000000
98000000
100000000
102000000
107000000
108000000
110000000
114000000
120000000
130000000
140000000
150000000
154000000
158000000
160000000
170000000
180000000
185000000
200000000
202000000
210000000
220000000
230000000
240000000
250000000
260000000
265000000
270000000
277000000
280000000
285000000
291000000
300000000
320000000
333000000
350000000
380000000
397000000
400000000
408000000
410000000
417000000
450000000
480000000
500000000
550000000
600000000
618000000
700000000
750000000
783000000
800000000
900000000
1000000000
1200000000
1400000000
1453000000
1500000000
1569000000
1900000000
2000000000
2100000000
2500000000
3000000000
3122000000
3189000000
3400000000
3500000000
4000000000
4125000000
5000000000
5237000000
6000000000
6500000000
7000000000
7500000000
8000000000
9000000000
10000000000
11000000000
11500000000
12000000000
15000000000
19465000000
20000000000
25000000000
28000000000
31000000000
33000000000
35000000000
40000000000
45000000000
50000000000
60000000000
66000000000
387000000000
1000000000000
25000000000000
30000000000000
40000000000000
50000000000000
55000000000000
60000000000000
80000000000000
100000000000000
150000000000000
180000000000000
200000000000000
300000000000000
400000000000000
600000000000000
800000000000000
1500000000000000
4000000000000000
NA
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.
Question post text
IF 0, GO TO QUESTION N.5B; IF -9, GO TO QUESTION N.5B
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