Enterprise Survey 2006-2017, Panel data
Peru, 2006 - 2017
Get Microdata
Reference ID
PER_2006-2017_ES-P_v01_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Apr 11, 2019
Last modified
Apr 11, 2019
Page views
24052
Downloads
1538
- Data files
- Peru_2006_2010_2017
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
- 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