Enterprise Survey 2006-2017 Panel Data
Uruguay, 2006 - 2017
Get MicrodataCreated on
Mar 29, 2019
Last modified
Mar 29, 2019
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7279
- Data files
- Uruguay_2006_2010_2017
Total Annual Expenditure For Purchases Of Equipment In Last Fiscal Yr (n5a)
Data file: Uruguay_2006_2010_2017
Overview
Valid:
1231
Invalid:
344
Type:
Discrete
Decimal:
0
Start:
777
End:
786
Width:
10
Range:
-
Format:
Questions and instructions
Literal question
In fiscal year [insert last complete fiscal year], how much did this establishment spend on purchases of: New or used machinery, vehicles, and equipment
Categories
| Value | Category |
|---|---|
| -9 | Don't know (spontaneous) |
| -8 | |
| 0 | |
| 2000 | |
| 4000 | |
| 5000 | |
| 7200 | |
| 10000 | |
| 10002 | |
| 10700 | |
| 11500 | |
| 12000 | |
| 14400 | |
| 16000 | |
| 18000 | |
| 18700 | |
| 20000 | |
| 22000 | |
| 23400 | |
| 24000 | |
| 25000 | |
| 26292 | |
| 28000 | |
| 29400 | |
| 30000 | |
| 36000 | |
| 36750 | |
| 40000 | |
| 48000 | |
| 48800 | |
| 50000 | |
| 52500 | |
| 56000 | |
| 59550 | |
| 60000 | |
| 66000 | |
| 70000 | |
| 72000 | |
| 77136 | |
| 80000 | |
| 81000 | |
| 81464 | |
| 90000 | |
| 95000 | |
| 96000 | |
| 98135 | |
| 99407 | |
| 100000 | |
| 105000 | |
| 110000 | |
| 114000 | |
| 118970 | |
| 120000 | |
| 122576 | |
| 125000 | |
| 126000 | |
| 130000 | |
| 132000 | |
| 137720 | |
| 144000 | |
| 150000 | |
| 157000 | |
| 160000 | |
| 180000 | |
| 192000 | |
| 196000 | |
| 196270 | |
| 200000 | |
| 207760 | |
| 210000 | |
| 218629 | |
| 221298 | |
| 230000 | |
| 235524 | |
| 240000 | |
| 250000 | |
| 251000 | |
| 252461 | |
| 260000 | |
| 267000 | |
| 270000 | |
| 280000 | |
| 285600 | |
| 288000 | |
| 290000 | |
| 294000 | |
| 298000 | |
| 300000 | |
| 306250 | |
| 311706 | |
| 320000 | |
| 323527 | |
| 325000 | |
| 336000 | |
| 340000 | |
| 350000 | |
| 353286 | |
| 360000 | |
| 367500 | |
| 375000 | |
| 380000 | |
| 384000 | |
| 392000 | |
| 392540 | |
| 396000 | |
| 400000 | |
| 408000 | |
| 410000 | |
| 415000 | |
| 420000 | |
| 432000 | |
| 440000 | |
| 442500 | |
| 450000 | |
| 460000 | |
| 480000 | |
| 490675 | |
| 500000 | |
| 509000 | |
| 525000 | |
| 534223 | |
| 540000 | |
| 550000 | |
| 551000 | |
| 552000 | |
| 570000 | |
| 588200 | |
| 600000 | |
| 612500 | |
| 619850 | |
| 620000 | |
| 625000 | |
| 630000 | |
| 660000 | |
| 664931 | |
| 672000 | |
| 680000 | |
| 694134 | |
| 700000 | |
| 720000 | |
| 723460 | |
| 740000 | |
| 750000 | |
| 780000 | |
| 781215 | |
| 800000 | |
| 810000 | |
| 840000 | |
| 850000 | |
| 863000 | |
| 870000 | |
| 880000 | |
| 900000 | |
| 920000 | |
| 946000 | |
| 960000 | |
| 1000000 | |
| 1040000 | |
| 1050000 | |
| 1108440 | |
| 1115498 | |
| 1200000 | |
| 1240000 | |
| 1250000 | |
| 1260000 | |
| 1300000 | |
| 1340000 | |
| 1347500 | |
| 1373890 | |
| 1378790 | |
| 1400000 | |
| 1420000 | |
| 1440000 | |
| 1453989 | |
| 1470000 | |
| 1500000 | |
| 1560000 | |
| 1584000 | |
| 1600000 | |
| 1650000 | |
| 1680000 | |
| 1700000 | |
| 1702509 | |
| 1773000 | |
| 1800000 | |
| 1808000 | |
| 1870000 | |
| 1875000 | |
| 1920000 | |
| 2000000 | |
| 2039534 | |
| 2050000 | |
| 2100000 | |
| 2112000 | |
| 2160000 | |
| 2200000 | |
| 2244000 | |
| 2257105 | |
| 2273000 | |
| 2300000 | |
| 2340000 | |
| 2355240 | |
| 2389445 | |
| 2400000 | |
| 2500000 | |
| 2640000 | |
| 2750000 | |
| 2800000 | |
| 2880000 | |
| 3000000 | |
| 3184000 | |
| 3300000 | |
| 3300611 | |
| 3500000 | |
| 3536579 | |
| 3600000 | |
| 3750000 | |
| 3800000 | |
| 3900000 | |
| 3925400 | |
| 4000000 | |
| 4129270 | |
| 4212000 | |
| 4500000 | |
| 4800000 | |
| 5000000 | |
| 5040000 | |
| 5056805 | |
| 5100000 | |
| 5600000 | |
| 6000000 | |
| 6300000 | |
| 6500000 | |
| 6846757 | |
| 7000000 | |
| 7108925 | |
| 7200000 | |
| 7250000 | |
| 7395053 | |
| 7691919 | |
| 7900000 | |
| 8000000 | |
| 8197000 | |
| 8400000 | |
| 8500000 | |
| 8800000 | |
| 9000000 | |
| 9200000 | |
| 9600000 | |
| 9844000 | |
| 10000000 | |
| 10300000 | |
| 11110000 | |
| 12000000 | |
| 12500000 | |
| 12700000 | |
| 13000000 | |
| 13234646 | |
| 13965472 | |
| 14000000 | |
| 15000000 | |
| 15000055 | |
| 15600000 | |
| 15700000 | |
| 16000000 | |
| 16785454 | |
| 17200000 | |
| 18000000 | |
| 18426126 | |
| 18500000 | |
| 19200000 | |
| 20000000 | |
| 21600000 | |
| 23000000 | |
| 24000000 | |
| 25000000 | |
| 27784963 | |
| 28800000 | |
| 29000000 | |
| 30000000 | |
| 31800000 | |
| 32000000 | |
| 35000000 | |
| 39254000 | |
| 40000000 | |
| 43200000 | |
| 45000000 | |
| 50000000 | |
| 51000000 | |
| 51379261 | |
| 52500000 | |
| 53000000 | |
| 59000000 | |
| 60000000 | |
| 61500000 | |
| 63000000 | |
| 72000000 | |
| 75000000 | |
| 78000000 | |
| 80000000 | |
| 87000000 | |
| 90000000 | |
| 94336929 | |
| 98515000 | |
| 110000000 | |
| 117762000 | |
| 118757485 | |
| 120000000 | |
| 126300000 | |
| 136000900 | |
| 145000000 | |
| 150000000 | |
| 152000000 | |
| 300000000 | |
| 324000000 | |
| 340000000 | |
| 350000000 | |
| 400000000 | |
| 1068000000 | |
| 1700000000 | |
| 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.