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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / BRA_2009_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2009

Brazil, 2008 - 2009
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Reference ID
BRA_2009_ES_v01_M_WB
DOI
https://doi.org/10.48529/0z1z-0d62
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
Mar 24, 2011
Last modified
Sep 26, 2013
Page views
53028
Downloads
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  • Study Description
  • Data Description
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  • Brazil2009-full
    data-

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

Data file: Brazil2009-full data-

Overview

Valid: 1251
Invalid: 551
Type: Discrete
Decimal: 0
Start: 710
End: 719
Width: 10
Range: -9 - 27000000
Format: Numeric

Questions and instructions

Literal question
In fiscal year 2007, how much did this establishment spend on purchases of:
Machinery, vehicles, and equipment (new or used)
Categories
Value Category Cases
-9 don't know 74
5.9%
0 33
2.6%
2000 3
0.2%
3000 2
0.2%
3500 1
0.1%
4000 7
0.6%
4700 1
0.1%
5000 4
0.3%
6000 4
0.3%
7000 2
0.2%
8000 5
0.4%
10000 21
1.7%
11000 1
0.1%
12000 3
0.2%
13000 1
0.1%
15000 11
0.9%
16000 1
0.1%
17000 1
0.1%
18000 3
0.2%
20000 19
1.5%
22000 3
0.2%
23000 1
0.1%
25000 7
0.6%
28000 1
0.1%
30000 23
1.8%
34500 1
0.1%
35000 6
0.5%
35500 1
0.1%
36000 1
0.1%
40000 18
1.4%
45000 2
0.2%
47000 1
0.1%
48000 1
0.1%
50000 28
2.2%
50144 1
0.1%
52000 3
0.2%
55000 1
0.1%
56000 1
0.1%
60000 15
1.2%
70000 7
0.6%
73000 1
0.1%
80000 9
0.7%
87000 1
0.1%
90000 5
0.4%
95000 1
0.1%
98000 1
0.1%
100000 41
3.3%
110000 1
0.1%
117000 1
0.1%
120000 4
0.3%
125000 1
0.1%
126000 1
0.1%
129000 1
0.1%
130000 4
0.3%
135000 1
0.1%
136826 1
0.1%
150000 15
1.2%
160000 3
0.2%
170000 1
0.1%
180000 3
0.2%
190000 1
0.1%
200000 32
2.6%
220000 1
0.1%
230000 1
0.1%
236000 1
0.1%
250000 6
0.5%
263200 1
0.1%
265000 1
0.1%
285000 1
0.1%
300000 18
1.4%
320000 1
0.1%
340000 1
0.1%
350000 3
0.2%
360000 1
0.1%
400000 11
0.9%
450000 1
0.1%
500000 27
2.2%
550000 1
0.1%
590000 1
0.1%
600000 7
0.6%
680000 1
0.1%
700000 10
0.8%
750000 1
0.1%
754000 1
0.1%
791000 1
0.1%
800000 8
0.6%
870000 1
0.1%
890000 1
0.1%
900000 3
0.2%
1000000 32
2.6%
1170364 1
0.1%
1200000 4
0.3%
1300000 1
0.1%
1320000 1
0.1%
1400000 1
0.1%
1500000 22
1.8%
1550000 1
0.1%
1600000 2
0.2%
1700000 1
0.1%
1800000 1
0.1%
2000000 37
3%
2200000 1
0.1%
2350000 1
0.1%
2500000 6
0.5%
2700000 1
0.1%
2727000 1
0.1%
2800000 1
0.1%
2965526 1
0.1%
3000000 29
2.3%
3054510 1
0.1%
3100000 1
0.1%
3300000 1
0.1%
3400000 1
0.1%
3500000 5
0.4%
3650000 1
0.1%
3780000 1
0.1%
3900000 1
0.1%
4000000 21
1.7%
4200000 2
0.2%
4300000 1
0.1%
4500000 2
0.2%
5000000 43
3.4%
5030000 1
0.1%
5171800 1
0.1%
5300000 1
0.1%
5500000 3
0.2%
6000000 18
1.4%
7000000 12
1%
8000000 13
1%
8500000 1
0.1%
8800000 1
0.1%
9000000 4
0.3%
10000000 52
4.2%
11000000 1
0.1%
11300000 1
0.1%
12000000 12
1%
12900000 1
0.1%
13000000 1
0.1%
13800000 1
0.1%
14000000 3
0.2%
15000000 27
2.2%
16000000 3
0.2%
17000000 3
0.2%
17500000 1
0.1%
18000000 4
0.3%
18500000 2
0.2%
20000000 35
2.8%
21000000 1
0.1%
22000000 2
0.2%
23200000 1
0.1%
24000000 1
0.1%
25000000 12
1%
28000000 2
0.2%
30000000 24
1.9%
35000000 6
0.5%
36600000 1
0.1%
40000000 16
1.3%
40600000 1
0.1%
40867163 1
0.1%
45000000 3
0.2%
50000000 26
2.1%
53000000 1
0.1%
60000000 8
0.6%
63000000 1
0.1%
65000000 1
0.1%
70000000 3
0.2%
75000000 1
0.1%
78000000 1
0.1%
80000000 6
0.5%
85000000 1
0.1%
87400000 1
0.1%
90000000 3
0.2%
100000000 25
2%
103546700 1
0.1%
110000000 2
0.2%
112500000 1
0.1%
120000000 3
0.2%
125200000 1
0.1%
130000000 1
0.1%
145000000 1
0.1%
150000000 10
0.8%
162500000 1
0.1%
170000000 1
0.1%
176142400 1
0.1%
180000000 1
0.1%
200000000 13
1%
230000000 1
0.1%
250000000 9
0.7%
265000000 1
0.1%
300000000 14
1.1%
350000000 2
0.2%
372000000 1
0.1%
400000000 4
0.3%
500000000 9
0.7%
550000000 1
0.1%
600000000 4
0.3%
700000000 1
0.1%
800000000 4
0.3%
880000000 1
0.1%
1000000000 4
0.3%
1100000000 2
0.2%
1200000000 1
0.1%
1300000000 1
0.1%
1400000000 1
0.1%
1500000000 2
0.2%
1600000000 1
0.1%
1800000000 1
0.1%
2000000000 3
0.2%
2500000000 3
0.2%
3000000000 2
0.2%
4000000000 2
0.2%
4500000000 1
0.1%
5000000000 1
0.1%
6000000000 1
0.1%
Sysmiss 551
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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