Enterprise Survey 2017
Peru, 2017 - 2018
Get MicrodataCreated on
Mar 29, 2019
Last modified
Mar 29, 2019
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9240
- Data files
- peru_2017_full_data
Total Annual Expenditure For Purchases Of Equipment In Year Prior To Last FY (n5c)
Data file: peru_2017_full_data
Overview
Valid:
465
Invalid:
538
Type:
Discrete
Decimal:
0
Start:
1929
End:
1937
Width:
9
Range:
-
Format:
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 |
|---|---|
| -9 | Don't know (spontaneous) |
| 0 | |
| 1000 | |
| 1500 | |
| 2000 | |
| 2500 | |
| 4000 | |
| 5000 | |
| 6000 | |
| 7000 | |
| 7666 | |
| 10000 | |
| 12000 | |
| 13000 | |
| 15000 | |
| 17000 | |
| 18000 | |
| 20000 | |
| 21068 | |
| 22000 | |
| 25000 | |
| 26000 | |
| 28000 | |
| 28640 | |
| 30000 | |
| 31500 | |
| 32500 | |
| 33000 | |
| 34560 | |
| 35000 | |
| 36000 | |
| 40000 | |
| 45000 | |
| 50000 | |
| 52000 | |
| 55000 | |
| 56000 | |
| 60000 | |
| 61000 | |
| 63000 | |
| 65000 | |
| 66000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 80000 | |
| 87500 | |
| 90000 | |
| 98000 | |
| 100000 | |
| 100340 | |
| 105000 | |
| 105600 | |
| 110000 | |
| 112000 | |
| 115000 | |
| 120000 | |
| 125000 | |
| 130000 | |
| 135000 | |
| 144000 | |
| 147910 | |
| 150000 | |
| 158000 | |
| 160000 | |
| 162500 | |
| 165000 | |
| 175000 | |
| 180000 | |
| 190000 | |
| 194000 | |
| 196200 | |
| 200000 | |
| 204600 | |
| 210000 | |
| 220000 | |
| 245363 | |
| 250000 | |
| 260000 | |
| 280000 | |
| 300000 | |
| 335000 | |
| 336000 | |
| 340000 | |
| 350000 | |
| 360000 | |
| 392000 | |
| 393000 | |
| 400000 | |
| 409200 | |
| 450000 | |
| 454916 | |
| 472500 | |
| 487500 | |
| 490000 | |
| 490875 | |
| 500000 | |
| 534400 | |
| 600000 | |
| 650000 | |
| 670000 | |
| 682000 | |
| 700000 | |
| 800000 | |
| 815000 | |
| 892000 | |
| 900000 | |
| 925000 | |
| 1000000 | |
| 1078886 | |
| 1089000 | |
| 1300000 | |
| 1500000 | |
| 1600000 | |
| 1900000 | |
| 2000000 | |
| 2100000 | |
| 2392000 | |
| 2450000 | |
| 2500000 | |
| 3000000 | |
| 3350000 | |
| 3401291 | |
| 3500000 | |
| 4000000 | |
| 4500000 | |
| 5000000 | |
| 6000000 | |
| 6500000 | |
| 6600000 | |
| 6700000 | |
| 7000000 | |
| 8000000 | |
| 8175000 | |
| 8750000 | |
| 9000000 | |
| 10000000 | |
| 12000000 | |
| 14000000 | |
| 15000000 | |
| 17000000 | |
| 20000000 | |
| 25000000 | |
| 25600000 | |
| 27000000 | |
| 30000000 | |
| 30060000 | |
| 36960000 | |
| 45000000 | |
| 50000000 | |
| 150000000 | |
| 327150000 | |
| Sysmiss |
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.
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