Enterprise Survey 2017
Peru, 2017 - 2018
Get MicrodataCreated on
Mar 29, 2019
Last modified
Mar 29, 2019
Page views
4683
- Data files
- peru_2017_full_data
Total Annual Expenditure For Purchases Of Equipment In Last Fiscal Yr (n5a)
Data file: peru_2017_full_data
Overview
Valid:
561
Invalid:
442
Type:
Discrete
Decimal:
0
Start:
1864
End:
1872
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
In fiscal year [insert last complete fiscal year], how much did this establishment spend on purchases of:
Categories
| Value | Category |
|---|---|
| -9 | Don't know (spontaneous) |
| 0 | |
| 1 | |
| 1300 | |
| 2500 | |
| 3000 | |
| 4000 | |
| 4200 | |
| 5000 | |
| 5250 | |
| 6000 | |
| 6206 | |
| 6953 | |
| 8000 | |
| 10000 | |
| 12000 | |
| 13200 | |
| 15000 | |
| 16000 | |
| 16500 | |
| 17827 | |
| 20000 | |
| 25000 | |
| 26000 | |
| 26500 | |
| 28000 | |
| 30000 | |
| 32000 | |
| 33000 | |
| 35000 | |
| 38400 | |
| 40000 | |
| 45000 | |
| 48000 | |
| 48554 | |
| 49000 | |
| 50000 | |
| 52160 | |
| 52500 | |
| 54000 | |
| 55000 | |
| 60000 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 65200 | |
| 67000 | |
| 68000 | |
| 70000 | |
| 75000 | |
| 80000 | |
| 85000 | |
| 88020 | |
| 90000 | |
| 91500 | |
| 95000 | |
| 97500 | |
| 98000 | |
| 100000 | |
| 107545 | |
| 110000 | |
| 110840 | |
| 115500 | |
| 120000 | |
| 125000 | |
| 130000 | |
| 132000 | |
| 140000 | |
| 145000 | |
| 146500 | |
| 150000 | |
| 150500 | |
| 170000 | |
| 172000 | |
| 175000 | |
| 180000 | |
| 191653 | |
| 200000 | |
| 205000 | |
| 230000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 300000 | |
| 324000 | |
| 325000 | |
| 330000 | |
| 340000 | |
| 345365 | |
| 350000 | |
| 360000 | |
| 378000 | |
| 390000 | |
| 400000 | |
| 403200 | |
| 430000 | |
| 441000 | |
| 450000 | |
| 487000 | |
| 500000 | |
| 525000 | |
| 550000 | |
| 597345 | |
| 600000 | |
| 623000 | |
| 654000 | |
| 672000 | |
| 700000 | |
| 800000 | |
| 840000 | |
| 850000 | |
| 880000 | |
| 900000 | |
| 1000000 | |
| 1008000 | |
| 1100000 | |
| 1200000 | |
| 1200532 | |
| 1254000 | |
| 1300000 | |
| 1500000 | |
| 1592000 | |
| 1600000 | |
| 1675000 | |
| 1750000 | |
| 1800000 | |
| 2000000 | |
| 2300000 | |
| 2400000 | |
| 2500000 | |
| 2504965 | |
| 2800000 | |
| 3000000 | |
| 3150000 | |
| 3200000 | |
| 3300000 | |
| 3500000 | |
| 4000000 | |
| 4032000 | |
| 5000000 | |
| 6000000 | |
| 6500000 | |
| 6700000 | |
| 7000000 | |
| 8000000 | |
| 8750000 | |
| 9000000 | |
| 9387504 | |
| 9500000 | |
| 10000000 | |
| 12000000 | |
| 15000000 | |
| 16800000 | |
| 20000000 | |
| 22000000 | |
| 25000000 | |
| 30000000 | |
| 39600000 | |
| 40000000 | |
| 45000000 | |
| 60480000 | |
| 65000000 | |
| 68000000 | |
| 98145000 | |
| 150000000 | |
| 270000000 | |
| 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.
Interviewer instructions
- INTERVIEWER: READ OUT
Question post text
IF 0, GO TO QUESTION N.5B
GO TO QUESTION N.5B
GO TO QUESTION N.5B