Enterprise Survey 2010
Argentina, 2010 - 2011
Get Microdata
Reference ID
ARG_2010_ES_v01_M_WB
Producer(s)
World Bank
Collection(s)
Created on
Jun 05, 2011
Last modified
Sep 26, 2013
Page views
55353
Downloads
12588
- Data files
-
Argentina-2010-full
data-
Total Annual Expenditure For Purchases Of Equipment In Last Fiscal Yr (n5a)
Data file: Argentina-2010-full data-
Overview
Valid:
702
Invalid:
352
Type:
Discrete
Decimal:
0
Start:
570
End:
579
Width:
10
Range:
-9 - 1674000000
Format:
Numeric
Questions and instructions
Literal question
In fiscal year [insert last complete fiscal year], how much did this establishment spend on purchases of:
Machinery, vehicles, and equipment (new or used)
Machinery, vehicles, and equipment (new or used)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don’t know | 50 |
7.1%
|
| 0 | 6 |
0.9%
|
|
| 1100 | 1 |
0.1%
|
|
| 2500 | 1 |
0.1%
|
|
| 3000 | 2 |
0.3%
|
|
| 5000 | 1 |
0.1%
|
|
| 6000 | 1 |
0.1%
|
|
| 6189 | 1 |
0.1%
|
|
| 6500 | 1 |
0.1%
|
|
| 6600 | 1 |
0.1%
|
|
| 7000 | 1 |
0.1%
|
|
| 10000 | 4 |
0.6%
|
|
| 12000 | 1 |
0.1%
|
|
| 12523 | 1 |
0.1%
|
|
| 13000 | 1 |
0.1%
|
|
| 14000 | 1 |
0.1%
|
|
| 15000 | 2 |
0.3%
|
|
| 20000 | 9 |
1.3%
|
|
| 21939 | 1 |
0.1%
|
|
| 22000 | 1 |
0.1%
|
|
| 26600 | 1 |
0.1%
|
|
| 30000 | 9 |
1.3%
|
|
| 32000 | 1 |
0.1%
|
|
| 33962 | 1 |
0.1%
|
|
| 35000 | 1 |
0.1%
|
|
| 35244 | 1 |
0.1%
|
|
| 40000 | 9 |
1.3%
|
|
| 42000 | 1 |
0.1%
|
|
| 45000 | 2 |
0.3%
|
|
| 48000 | 1 |
0.1%
|
|
| 50000 | 24 |
3.4%
|
|
| 51000 | 1 |
0.1%
|
|
| 52000 | 1 |
0.1%
|
|
| 55000 | 1 |
0.1%
|
|
| 56000 | 2 |
0.3%
|
|
| 58000 | 1 |
0.1%
|
|
| 60000 | 19 |
2.7%
|
|
| 65000 | 1 |
0.1%
|
|
| 67000 | 1 |
0.1%
|
|
| 67500 | 1 |
0.1%
|
|
| 70000 | 7 |
1%
|
|
| 72000 | 1 |
0.1%
|
|
| 75000 | 1 |
0.1%
|
|
| 78000 | 1 |
0.1%
|
|
| 80000 | 20 |
2.8%
|
|
| 84200 | 1 |
0.1%
|
|
| 85000 | 1 |
0.1%
|
|
| 86000 | 1 |
0.1%
|
|
| 88500 | 1 |
0.1%
|
|
| 90000 | 5 |
0.7%
|
|
| 95000 | 1 |
0.1%
|
|
| 100000 | 33 |
4.7%
|
|
| 101200 | 1 |
0.1%
|
|
| 105000 | 3 |
0.4%
|
|
| 109000 | 1 |
0.1%
|
|
| 110000 | 1 |
0.1%
|
|
| 111000 | 1 |
0.1%
|
|
| 120000 | 4 |
0.6%
|
|
| 124000 | 1 |
0.1%
|
|
| 127000 | 1 |
0.1%
|
|
| 130000 | 3 |
0.4%
|
|
| 140000 | 3 |
0.4%
|
|
| 140571 | 1 |
0.1%
|
|
| 143500 | 1 |
0.1%
|
|
| 150000 | 32 |
4.6%
|
|
| 154000 | 1 |
0.1%
|
|
| 170000 | 4 |
0.6%
|
|
| 175000 | 1 |
0.1%
|
|
| 180000 | 4 |
0.6%
|
|
| 188000 | 1 |
0.1%
|
|
| 200000 | 33 |
4.7%
|
|
| 208105 | 1 |
0.1%
|
|
| 210000 | 2 |
0.3%
|
|
| 230000 | 1 |
0.1%
|
|
| 238374 | 1 |
0.1%
|
|
| 240000 | 2 |
0.3%
|
|
| 250000 | 19 |
2.7%
|
|
| 252000 | 1 |
0.1%
|
|
| 254000 | 1 |
0.1%
|
|
| 280000 | 2 |
0.3%
|
|
| 285000 | 1 |
0.1%
|
|
| 300000 | 29 |
4.1%
|
|
| 300901 | 1 |
0.1%
|
|
| 318000 | 1 |
0.1%
|
|
| 320000 | 3 |
0.4%
|
|
| 323000 | 1 |
0.1%
|
|
| 332000 | 1 |
0.1%
|
|
| 334000 | 1 |
0.1%
|
|
| 349864 | 1 |
0.1%
|
|
| 350000 | 9 |
1.3%
|
|
| 360000 | 2 |
0.3%
|
|
| 373000 | 1 |
0.1%
|
|
| 380000 | 1 |
0.1%
|
|
| 400000 | 17 |
2.4%
|
|
| 450000 | 1 |
0.1%
|
|
| 500000 | 18 |
2.6%
|
|
| 510000 | 1 |
0.1%
|
|
| 545000 | 1 |
0.1%
|
|
| 550000 | 1 |
0.1%
|
|
| 563000 | 1 |
0.1%
|
|
| 574000 | 1 |
0.1%
|
|
| 595650 | 1 |
0.1%
|
|
| 600000 | 6 |
0.9%
|
|
| 630000 | 1 |
0.1%
|
|
| 641000 | 1 |
0.1%
|
|
| 642000 | 1 |
0.1%
|
|
| 654283 | 1 |
0.1%
|
|
| 671470 | 1 |
0.1%
|
|
| 671821 | 1 |
0.1%
|
|
| 688000 | 1 |
0.1%
|
|
| 700000 | 6 |
0.9%
|
|
| 703000 | 1 |
0.1%
|
|
| 760000 | 1 |
0.1%
|
|
| 780000 | 1 |
0.1%
|
|
| 800000 | 7 |
1%
|
|
| 850000 | 1 |
0.1%
|
|
| 870000 | 1 |
0.1%
|
|
| 900000 | 5 |
0.7%
|
|
| 943000 | 1 |
0.1%
|
|
| 975000 | 1 |
0.1%
|
|
| 979008 | 1 |
0.1%
|
|
| 1000000 | 19 |
2.7%
|
|
| 1015000 | 1 |
0.1%
|
|
| 1100000 | 1 |
0.1%
|
|
| 1200000 | 5 |
0.7%
|
|
| 1300000 | 3 |
0.4%
|
|
| 1380000 | 1 |
0.1%
|
|
| 1400000 | 1 |
0.1%
|
|
| 1450000 | 1 |
0.1%
|
|
| 1480000 | 1 |
0.1%
|
|
| 1500000 | 15 |
2.1%
|
|
| 1525271 | 1 |
0.1%
|
|
| 1600000 | 5 |
0.7%
|
|
| 1650000 | 1 |
0.1%
|
|
| 1800000 | 4 |
0.6%
|
|
| 1957000 | 1 |
0.1%
|
|
| 1984999 | 1 |
0.1%
|
|
| 2000000 | 20 |
2.8%
|
|
| 2100000 | 1 |
0.1%
|
|
| 2400000 | 2 |
0.3%
|
|
| 2500000 | 3 |
0.4%
|
|
| 2600000 | 1 |
0.1%
|
|
| 2616482 | 1 |
0.1%
|
|
| 2800000 | 1 |
0.1%
|
|
| 2968000 | 1 |
0.1%
|
|
| 3000000 | 9 |
1.3%
|
|
| 3157000 | 1 |
0.1%
|
|
| 3248293 | 1 |
0.1%
|
|
| 3334000 | 1 |
0.1%
|
|
| 3500000 | 3 |
0.4%
|
|
| 3900000 | 1 |
0.1%
|
|
| 4000000 | 7 |
1%
|
|
| 4051000 | 1 |
0.1%
|
|
| 4250000 | 1 |
0.1%
|
|
| 4300000 | 1 |
0.1%
|
|
| 4500000 | 1 |
0.1%
|
|
| 4572209 | 1 |
0.1%
|
|
| 5000000 | 8 |
1.1%
|
|
| 5100000 | 1 |
0.1%
|
|
| 6000000 | 4 |
0.6%
|
|
| 6876000 | 1 |
0.1%
|
|
| 7000000 | 3 |
0.4%
|
|
| 7095000 | 1 |
0.1%
|
|
| 7100000 | 1 |
0.1%
|
|
| 7500000 | 1 |
0.1%
|
|
| 8000000 | 3 |
0.4%
|
|
| 8000500 | 1 |
0.1%
|
|
| 8281849 | 1 |
0.1%
|
|
| 8621468 | 1 |
0.1%
|
|
| 9000000 | 1 |
0.1%
|
|
| 9200000 | 1 |
0.1%
|
|
| 9365000 | 1 |
0.1%
|
|
| 10000000 | 4 |
0.6%
|
|
| 10400000 | 1 |
0.1%
|
|
| 12000000 | 4 |
0.6%
|
|
| 12300000 | 1 |
0.1%
|
|
| 12500000 | 1 |
0.1%
|
|
| 12697093 | 1 |
0.1%
|
|
| 12900000 | 1 |
0.1%
|
|
| 13475000 | 1 |
0.1%
|
|
| 13500000 | 1 |
0.1%
|
|
| 15000000 | 2 |
0.3%
|
|
| 17000000 | 2 |
0.3%
|
|
| 17818000 | 1 |
0.1%
|
|
| 18000000 | 1 |
0.1%
|
|
| 20000000 | 3 |
0.4%
|
|
| 21000000 | 2 |
0.3%
|
|
| 21600000 | 1 |
0.1%
|
|
| 23472620 | 1 |
0.1%
|
|
| 25000000 | 1 |
0.1%
|
|
| 26000000 | 1 |
0.1%
|
|
| 27000000 | 1 |
0.1%
|
|
| 33000000 | 1 |
0.1%
|
|
| 34380000 | 1 |
0.1%
|
|
| 36000000 | 1 |
0.1%
|
|
| 37000000 | 1 |
0.1%
|
|
| 37700000 | 1 |
0.1%
|
|
| 40000000 | 2 |
0.3%
|
|
| 45000000 | 1 |
0.1%
|
|
| 60000000 | 4 |
0.6%
|
|
| 65000000 | 1 |
0.1%
|
|
| 75000000 | 1 |
0.1%
|
|
| 80000000 | 1 |
0.1%
|
|
| 81000000 | 1 |
0.1%
|
|
| 87000000 | 1 |
0.1%
|
|
| 134000000 | 1 |
0.1%
|
|
| 140000000 | 1 |
0.1%
|
|
| 180000000 | 1 |
0.1%
|
|
| 192500000 | 1 |
0.1%
|
|
| 240000000 | 1 |
0.1%
|
|
| 401230000 | 1 |
0.1%
|
|
| 1674000000 | 1 |
0.1%
|
|
| Sysmiss | 352 |
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
The category machinery, vehicles and equipment is the annual investment of anything used directly by this establishment to produce. Vehicles include transport and loading and unloading vehicles. It should include not only the purchase cost but also all other costs involved in the investment such as transport of the item and installation cost. Computer hardware should be considered under equipment Land, buildings is the annual investment in land, buildings and structures used directly or indirectly by this establishment to produce goods and services. Included are expenditures for new and used structures (including those under construction at the end of last complete fiscal year), fixtures and equipment, additions, major alterations and improvements to existing facilities, and capitalized repairs.
Question post text
IF 0, GO TO QUESTION K.5