Enterprise survey 2006-2017
Argentina, 2006 - 2017
Get MicrodataCreated on
Mar 29, 2019
Last modified
Mar 29, 2019
Page views
11141
- Data files
- Argentina_2006_2010_2017
Total Annual Expenditure For Purchases Of Equipment In Last Fiscal Yr (n5a)
Data file: Argentina_2006_2010_2017
Overview
Valid:
2263
Invalid:
845
Minimum:
-9
Maximum:
2642400000
Type:
Discrete
Decimal:
0
Start:
778
End:
787
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:
Categories
| Value | Category |
|---|---|
| -9 | Don't know (spontaneous) |
| -8 | |
| 0 | |
| 30 | |
| 1100 | |
| 1200 | |
| 1800 | |
| 2000 | |
| 2500 | |
| 3000 | |
| 3600 | |
| 4000 | |
| 4420 | |
| 4500 | |
| 5000 | |
| 5290 | |
| 6000 | |
| 6189 | |
| 6500 | |
| 6600 | |
| 7000 | |
| 7250 | |
| 7600 | |
| 8000 | |
| 8300 | |
| 9800 | |
| 10000 | |
| 10400 | |
| 11000 | |
| 11900 | |
| 12000 | |
| 12523 | |
| 13000 | |
| 13900 | |
| 14000 | |
| 15000 | |
| 15388 | |
| 16000 | |
| 18000 | |
| 18277 | |
| 19295 | |
| 20000 | |
| 20900 | |
| 21675 | |
| 21939 | |
| 22000 | |
| 23113 | |
| 23200 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 26600 | |
| 27000 | |
| 29000 | |
| 30000 | |
| 30500 | |
| 31352 | |
| 31420 | |
| 31900 | |
| 32000 | |
| 33490 | |
| 33500 | |
| 33962 | |
| 34000 | |
| 35000 | |
| 35244 | |
| 37000 | |
| 37200 | |
| 37800 | |
| 38662 | |
| 39000 | |
| 40000 | |
| 42000 | |
| 42310 | |
| 43000 | |
| 45000 | |
| 45050 | |
| 46000 | |
| 46392 | |
| 48000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 53751 | |
| 55000 | |
| 56000 | |
| 56288 | |
| 58000 | |
| 59200 | |
| 60000 | |
| 61424 | |
| 65000 | |
| 67000 | |
| 67500 | |
| 70000 | |
| 72000 | |
| 72870 | |
| 75000 | |
| 76900 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 84200 | |
| 85000 | |
| 86000 | |
| 88340 | |
| 88500 | |
| 90000 | |
| 93000 | |
| 95000 | |
| 96000 | |
| 97548 | |
| 100000 | |
| 101200 | |
| 102550 | |
| 105000 | |
| 109000 | |
| 110000 | |
| 111000 | |
| 112000 | |
| 114596 | |
| 120000 | |
| 121000 | |
| 122888 | |
| 123000 | |
| 124000 | |
| 125000 | |
| 127000 | |
| 130000 | |
| 132000 | |
| 140000 | |
| 140571 | |
| 141775 | |
| 142000 | |
| 143500 | |
| 150000 | |
| 154000 | |
| 160000 | |
| 164000 | |
| 169225 | |
| 170000 | |
| 174000 | |
| 175000 | |
| 180000 | |
| 181000 | |
| 188000 | |
| 195000 | |
| 197018 | |
| 200000 | |
| 202500 | |
| 208105 | |
| 210000 | |
| 220000 | |
| 230000 | |
| 238374 | |
| 240000 | |
| 240902 | |
| 245761 | |
| 250000 | |
| 252000 | |
| 254000 | |
| 254872 | |
| 260000 | |
| 280000 | |
| 285000 | |
| 290000 | |
| 290226 | |
| 300000 | |
| 300901 | |
| 310000 | |
| 318000 | |
| 320000 | |
| 323000 | |
| 325061 | |
| 327000 | |
| 330000 | |
| 330300 | |
| 332000 | |
| 333000 | |
| 334000 | |
| 340000 | |
| 349864 | |
| 350000 | |
| 360000 | |
| 370000 | |
| 373000 | |
| 380000 | |
| 385000 | |
| 389000 | |
| 395000 | |
| 400000 | |
| 418000 | |
| 425000 | |
| 450000 | |
| 456000 | |
| 480000 | |
| 490000 | |
| 500000 | |
| 502900 | |
| 510000 | |
| 520000 | |
| 533000 | |
| 540000 | |
| 545000 | |
| 547000 | |
| 548000 | |
| 550000 | |
| 560000 | |
| 563000 | |
| 574000 | |
| 578000 | |
| 580000 | |
| 595650 | |
| 600000 | |
| 610000 | |
| 630000 | |
| 635000 | |
| 641000 | |
| 642000 | |
| 645000 | |
| 654283 | |
| 660000 | |
| 671470 | |
| 671821 | |
| 672553 | |
| 680000 | |
| 688000 | |
| 690000 | |
| 700000 | |
| 703000 | |
| 705000 | |
| 717000 | |
| 720000 | |
| 750000 | |
| 760000 | |
| 780000 | |
| 800000 | |
| 837559 | |
| 850000 | |
| 870000 | |
| 887000 | |
| 900000 | |
| 943000 | |
| 975000 | |
| 978406 | |
| 979008 | |
| 980000 | |
| 1000000 | |
| 1015000 | |
| 1059000 | |
| 1091630 | |
| 1100000 | |
| 1160000 | |
| 1183000 | |
| 1200000 | |
| 1293000 | |
| 1300000 | |
| 1318000 | |
| 1380000 | |
| 1400000 | |
| 1422000 | |
| 1430000 | |
| 1450000 | |
| 1480000 | |
| 1495768 | |
| 1500000 | |
| 1525271 | |
| 1600000 | |
| 1650000 | |
| 1700000 | |
| 1737719 | |
| 1800000 | |
| 1830000 | |
| 1900000 | |
| 1957000 | |
| 1984999 | |
| 2000000 | |
| 2023000 | |
| 2100000 | |
| 2200000 | |
| 2208000 | |
| 2300000 | |
| 2400000 | |
| 2500000 | |
| 2600000 | |
| 2616482 | |
| 2700000 | |
| 2800000 | |
| 2870000 | |
| 2968000 | |
| 3000000 | |
| 3040000 | |
| 3080000 | |
| 3157000 | |
| 3200000 | |
| 3248293 | |
| 3300000 | |
| 3334000 | |
| 3345000 | |
| 3400000 | |
| 3500000 | |
| 3600000 | |
| 3700000 | |
| 3745084 | |
| 3900000 | |
| 4000000 | |
| 4051000 | |
| 4200000 | |
| 4250000 | |
| 4300000 | |
| 4400000 | |
| 4500000 | |
| 4572209 | |
| 4600000 | |
| 4750000 | |
| 4800000 | |
| 5000000 | |
| 5100000 | |
| 5300000 | |
| 5500000 | |
| 5700000 | |
| 5730911 | |
| 5900000 | |
| 6000000 | |
| 6187000 | |
| 6200000 | |
| 6300000 | |
| 6500000 | |
| 6876000 | |
| 7000000 | |
| 7095000 | |
| 7100000 | |
| 7230000 | |
| 7500000 | |
| 7600000 | |
| 8000000 | |
| 8000500 | |
| 8028124 | |
| 8281849 | |
| 8621468 | |
| 8729000 | |
| 9000000 | |
| 9200000 | |
| 9365000 | |
| 10000000 | |
| 10400000 | |
| 11437000 | |
| 12000000 | |
| 12300000 | |
| 12351411 | |
| 12500000 | |
| 12600000 | |
| 12697093 | |
| 12900000 | |
| 13475000 | |
| 13500000 | |
| 15000000 | |
| 16000000 | |
| 17000000 | |
| 17388000 | |
| 17818000 | |
| 18000000 | |
| 19000000 | |
| 20000000 | |
| 21000000 | |
| 21100000 | |
| 21600000 | |
| 22000000 | |
| 22500000 | |
| 23472620 | |
| 25000000 | |
| 26000000 | |
| 27000000 | |
| 28000000 | |
| 30000000 | |
| 31000000 | |
| 33000000 | |
| 34380000 | |
| 35000000 | |
| 36000000 | |
| 37000000 | |
| 37700000 | |
| 40000000 | |
| 45000000 | |
| 47000000 | |
| 50000000 | |
| 56000000 | |
| 60000000 | |
| 65000000 | |
| 75000000 | |
| 80000000 | |
| 81000000 | |
| 87000000 | |
| 96480000 | |
| 100000000 | |
| 105000000 | |
| 120000000 | |
| 122000000 | |
| 134000000 | |
| 140000000 | |
| 150000000 | |
| 180000000 | |
| 192500000 | |
| 200000000 | |
| 220000000 | |
| 240000000 | |
| 401230000 | |
| 1500000000 | |
| 1674000000 | |
| 2642400000 | |
| 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