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Enterprise Survey 2006-2017, Panel data

Peru, 2006 - 2017
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Reference ID
PER_2006-2017_ES-P_v01_M
Producer(s)
World Bank
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
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Total Annual Expenditure For Purchases Of Equipment In Year Prior To Last FY (n5c)

Data file: Peru_2006_2010_2017

Overview

Valid: 465
Invalid: 2170
Minimum: -9
Maximum: 327150000
Type: Discrete
Decimal: 0
Start: 2547
End: 2555
Width: 9
Range: -9 - 327150000
Format: Numeric

Questions and instructions

Literal question
In fiscal year [insert last complete fiscal year minus one],, how much did this establishment spend on purchases of:
- new or used machinery, vehicles, and equipment
Categories
Value Category Cases
-9 Don't know (spontaneous) 55
11.8%
0 24
5.2%
1000 1
0.2%
1500 1
0.2%
2000 3
0.6%
2500 1
0.2%
4000 3
0.6%
5000 5
1.1%
6000 2
0.4%
7000 2
0.4%
7666 1
0.2%
10000 7
1.5%
12000 1
0.2%
13000 1
0.2%
15000 2
0.4%
17000 1
0.2%
18000 1
0.2%
20000 8
1.7%
21068 1
0.2%
22000 1
0.2%
25000 8
1.7%
26000 2
0.4%
28000 1
0.2%
28640 1
0.2%
30000 8
1.7%
31500 1
0.2%
32500 1
0.2%
33000 2
0.4%
34560 1
0.2%
35000 7
1.5%
36000 1
0.2%
40000 7
1.5%
45000 3
0.6%
50000 13
2.8%
52000 1
0.2%
55000 3
0.6%
56000 1
0.2%
60000 7
1.5%
61000 1
0.2%
63000 1
0.2%
65000 2
0.4%
66000 1
0.2%
70000 5
1.1%
72000 1
0.2%
75000 1
0.2%
80000 7
1.5%
87500 1
0.2%
90000 5
1.1%
98000 1
0.2%
100000 16
3.4%
100340 1
0.2%
105000 3
0.6%
105600 1
0.2%
110000 2
0.4%
112000 1
0.2%
115000 1
0.2%
120000 8
1.7%
125000 1
0.2%
130000 1
0.2%
135000 1
0.2%
144000 1
0.2%
147910 1
0.2%
150000 10
2.2%
158000 1
0.2%
160000 2
0.4%
162500 1
0.2%
165000 1
0.2%
175000 2
0.4%
180000 8
1.7%
190000 1
0.2%
194000 1
0.2%
196200 1
0.2%
200000 17
3.7%
204600 1
0.2%
210000 1
0.2%
220000 1
0.2%
245363 1
0.2%
250000 4
0.9%
260000 2
0.4%
280000 2
0.4%
300000 11
2.4%
335000 1
0.2%
336000 1
0.2%
340000 1
0.2%
350000 5
1.1%
360000 1
0.2%
392000 1
0.2%
393000 1
0.2%
400000 6
1.3%
409200 1
0.2%
450000 4
0.9%
454916 1
0.2%
472500 1
0.2%
487500 1
0.2%
490000 1
0.2%
490875 1
0.2%
500000 15
3.2%
534400 1
0.2%
600000 1
0.2%
650000 1
0.2%
670000 1
0.2%
682000 1
0.2%
700000 4
0.9%
800000 3
0.6%
815000 1
0.2%
892000 1
0.2%
900000 1
0.2%
925000 1
0.2%
1000000 13
2.8%
1078886 1
0.2%
1089000 1
0.2%
1300000 1
0.2%
1500000 4
0.9%
1600000 1
0.2%
1900000 1
0.2%
2000000 5
1.1%
2100000 1
0.2%
2392000 1
0.2%
2450000 1
0.2%
2500000 2
0.4%
3000000 11
2.4%
3350000 1
0.2%
3401291 1
0.2%
3500000 2
0.4%
4000000 2
0.4%
4500000 1
0.2%
5000000 1
0.2%
6000000 4
0.9%
6500000 1
0.2%
6600000 2
0.4%
6700000 1
0.2%
7000000 2
0.4%
8000000 2
0.4%
8175000 1
0.2%
8750000 1
0.2%
9000000 2
0.4%
10000000 3
0.6%
12000000 1
0.2%
14000000 1
0.2%
15000000 1
0.2%
17000000 1
0.2%
20000000 1
0.2%
25000000 1
0.2%
25600000 1
0.2%
27000000 1
0.2%
30000000 2
0.4%
30060000 1
0.2%
36960000 1
0.2%
45000000 1
0.2%
50000000 1
0.2%
150000000 1
0.2%
327150000 1
0.2%
Sysmiss 2170
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
- interviewer: read out
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