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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / CHL_2006_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2006

Chile, 2006
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Reference ID
CHL_2006_ES_v01_M_WB
DOI
https://doi.org/10.48529/ej13-bz23
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
Mar 24, 2011
Last modified
Sep 26, 2013
Page views
40307
Downloads
3671
  • Study Description
  • Data Description
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  • Chile-2006--full
    data-1

total annual expenditure for purchases of equipment in last fiscal yr (n5a)

Data file: Chile-2006--full data-1

Overview

Valid: 1017
Invalid: 0
Type: Discrete
Decimal: 0
Start: 1230
End: 1242
Width: 13
Range: -9 - 27000000
Format: Numeric

Questions and instructions

Literal question
In fiscal year 2005, how much did this establishment spend on purchases of:
Machinery, vehicles, and equipment (new or used)
Categories
Value Category Cases
-9 don't know 212
20.8%
-8 58
5.7%
0 129
12.7%
150000 1
0.1%
200000 4
0.4%
250000 1
0.1%
300000 4
0.4%
350000 1
0.1%
380000 1
0.1%
400000 1
0.1%
415000 1
0.1%
440000 1
0.1%
500000 6
0.6%
520000 1
0.1%
600000 2
0.2%
800000 2
0.2%
1000000 15
1.5%
1476000 1
0.1%
1500000 3
0.3%
1600000 3
0.3%
1639000 1
0.1%
1800000 1
0.1%
2000000 14
1.4%
2400000 1
0.1%
2500000 2
0.2%
2800000 2
0.2%
3000000 20
2%
3160000 1
0.1%
3200000 2
0.2%
3500000 3
0.3%
3600000 2
0.2%
4000000 15
1.5%
4500000 2
0.2%
4838000 1
0.1%
5000000 15
1.5%
5014233 1
0.1%
5400000 1
0.1%
5700000 1
0.1%
6000000 10
1%
6600000 1
0.1%
7000000 9
0.9%
7010000 1
0.1%
7200000 1
0.1%
7500000 1
0.1%
8000000 14
1.4%
8064150 1
0.1%
8317731 1
0.1%
9000000 7
0.7%
9200000 1
0.1%
10000000 42
4.1%
11000000 1
0.1%
11329740 1
0.1%
12000000 20
2%
12211702 1
0.1%
12500000 3
0.3%
13000000 4
0.4%
13500000 1
0.1%
13721712 1
0.1%
15000000 28
2.8%
15200000 1
0.1%
16000000 2
0.2%
17300000 1
0.1%
18000000 1
0.1%
18120000 1
0.1%
18500000 1
0.1%
19000000 1
0.1%
20000000 36
3.5%
21000000 2
0.2%
21669000 1
0.1%
21966000 1
0.1%
22000000 3
0.3%
23000000 3
0.3%
23147460 1
0.1%
24000000 1
0.1%
24430200 1
0.1%
25000000 10
1%
26000000 1
0.1%
27000000 4
0.4%
27600000 1
0.1%
28000000 3
0.3%
30000000 23
2.3%
33000000 1
0.1%
34000000 1
0.1%
34868739 1
0.1%
35000000 6
0.6%
35800000 1
0.1%
36000000 1
0.1%
39322500 1
0.1%
40000000 20
2%
40948000 1
0.1%
42000000 4
0.4%
45000000 3
0.3%
48000000 3
0.3%
49000000 1
0.1%
50000000 17
1.7%
52000000 1
0.1%
53761000 1
0.1%
54000000 1
0.1%
56000000 1
0.1%
57000000 1
0.1%
58620000 1
0.1%
59556616 1
0.1%
60000000 8
0.8%
62000000 1
0.1%
67000000 2
0.2%
68000000 1
0.1%
69000000 1
0.1%
70000000 8
0.8%
75000000 1
0.1%
80000000 7
0.7%
80854000 1
0.1%
85000000 1
0.1%
87900000 1
0.1%
90000000 6
0.6%
95000000 1
0.1%
98000000 1
0.1%
100000000 11
1.1%
102000000 1
0.1%
105000000 1
0.1%
106000000 1
0.1%
108000000 2
0.2%
110000000 1
0.1%
120000000 3
0.3%
130000000 3
0.3%
142000000 1
0.1%
150000000 4
0.4%
151000000 1
0.1%
154000000 2
0.2%
158000000 2
0.2%
162000000 1
0.1%
164800000 1
0.1%
168000000 1
0.1%
174000000 1
0.1%
175000000 1
0.1%
180000000 2
0.2%
200000000 9
0.9%
211000000 1
0.1%
220000000 1
0.1%
237000000 1
0.1%
250000000 8
0.8%
258000000 1
0.1%
279000000 1
0.1%
284200000 1
0.1%
287000000 1
0.1%
300000000 6
0.6%
315000000 1
0.1%
320000000 1
0.1%
350000000 1
0.1%
351389357 1
0.1%
390000000 1
0.1%
400000000 5
0.5%
412000000 1
0.1%
448000000 1
0.1%
481803061 1
0.1%
500000000 3
0.3%
550000000 2
0.2%
557103841 1
0.1%
600000000 2
0.2%
650916000 2
0.2%
700000000 1
0.1%
780000000 1
0.1%
800000000 2
0.2%
804000000 1
0.1%
900000000 1
0.1%
1000000000 1
0.1%
1060000000 2
0.2%
1075000000 1
0.1%
1250000000 1
0.1%
1350000000 1
0.1%
1500000000 2
0.2%
1623000000 1
0.1%
1900000000 1
0.1%
2000000000 2
0.2%
2170000000 1
0.1%
2600000000 1
0.1%
3000000000 1
0.1%
3500000000 1
0.1%
3510000000 1
0.1%
3850000000 1
0.1%
4300000000 1
0.1%
4360000000 1
0.1%
5000000000 2
0.2%
5376000000 1
0.1%
8162132000 1
0.1%
8252000000 1
0.1%
15900000000 1
0.1%
26880000000 1
0.1%
325458000000 1
0.1%
500000000000 1
0.1%
1356075000000 1
0.1%
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.
Interviewer instructions
The category machinery, vehicles and equipment is the annual investment of anything used directly by this establishment to produce. Vehicles include transport and loading and unloading vehicles. It should include not only the purchase cost but also all other costs involved in the investment such as transport of the item and installation cost. Computer hardware should be considered under equipment

Land, buildings is the annual investment in land, buildings and structures used directly or indirectly by this establishment to produce goods and services.

Included are expenditures for new and used structures (including those under construction at the end of last complete fiscal year), fixtures and equipment, additions, major alterations and improvements to existing facilities, and capitalized repairs.
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