Enterprise Survey 2017
Argentina, 2017 - 2018
Get Microdata
Reference ID
ARG_2017_ES_v01_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Nov 27, 2018
Last modified
Nov 27, 2018
Page views
48198
Downloads
2761
- Data files
- argentina_2017_full_data
Total Annual Expenditure For Purchases Of Equipment In Year Prior To Last FY (n5c)
Data file: argentina_2017_full_data
Overview
Valid:
435
Invalid:
556
Type:
Discrete
Decimal:
0
Start:
1699
End:
1707
Width:
9
Range:
-9 - 828000000
Format:
Numeric
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 | Cases | |
|---|---|---|---|
| -9 | Don't know (spontaneous) | 60 |
13.8%
|
| 0 | 11 |
2.5%
|
|
| 1500 | 1 |
0.2%
|
|
| 10000 | 2 |
0.5%
|
|
| 15000 | 2 |
0.5%
|
|
| 16000 | 1 |
0.2%
|
|
| 20000 | 4 |
0.9%
|
|
| 30000 | 3 |
0.7%
|
|
| 36000 | 1 |
0.2%
|
|
| 40000 | 1 |
0.2%
|
|
| 42000 | 1 |
0.2%
|
|
| 43000 | 1 |
0.2%
|
|
| 45000 | 2 |
0.5%
|
|
| 50000 | 5 |
1.1%
|
|
| 60000 | 4 |
0.9%
|
|
| 62000 | 1 |
0.2%
|
|
| 70000 | 6 |
1.4%
|
|
| 78000 | 1 |
0.2%
|
|
| 80000 | 1 |
0.2%
|
|
| 82000 | 1 |
0.2%
|
|
| 86000 | 1 |
0.2%
|
|
| 90000 | 1 |
0.2%
|
|
| 98000 | 1 |
0.2%
|
|
| 100000 | 14 |
3.2%
|
|
| 120000 | 4 |
0.9%
|
|
| 125000 | 2 |
0.5%
|
|
| 130000 | 1 |
0.2%
|
|
| 150000 | 11 |
2.5%
|
|
| 164000 | 1 |
0.2%
|
|
| 170000 | 2 |
0.5%
|
|
| 190000 | 1 |
0.2%
|
|
| 200000 | 19 |
4.4%
|
|
| 210000 | 1 |
0.2%
|
|
| 220000 | 1 |
0.2%
|
|
| 246000 | 1 |
0.2%
|
|
| 250000 | 10 |
2.3%
|
|
| 254000 | 1 |
0.2%
|
|
| 285000 | 1 |
0.2%
|
|
| 286000 | 1 |
0.2%
|
|
| 300000 | 20 |
4.6%
|
|
| 317000 | 1 |
0.2%
|
|
| 320000 | 1 |
0.2%
|
|
| 350000 | 3 |
0.7%
|
|
| 368000 | 1 |
0.2%
|
|
| 400000 | 20 |
4.6%
|
|
| 420000 | 1 |
0.2%
|
|
| 450000 | 5 |
1.1%
|
|
| 470000 | 1 |
0.2%
|
|
| 500000 | 25 |
5.7%
|
|
| 600000 | 5 |
1.1%
|
|
| 670000 | 1 |
0.2%
|
|
| 680000 | 1 |
0.2%
|
|
| 700000 | 4 |
0.9%
|
|
| 750000 | 2 |
0.5%
|
|
| 773000 | 1 |
0.2%
|
|
| 800000 | 8 |
1.8%
|
|
| 850000 | 2 |
0.5%
|
|
| 873000 | 1 |
0.2%
|
|
| 880000 | 1 |
0.2%
|
|
| 900000 | 6 |
1.4%
|
|
| 950000 | 1 |
0.2%
|
|
| 1000000 | 21 |
4.8%
|
|
| 1032000 | 1 |
0.2%
|
|
| 1100000 | 1 |
0.2%
|
|
| 1200000 | 3 |
0.7%
|
|
| 1250000 | 1 |
0.2%
|
|
| 1260000 | 1 |
0.2%
|
|
| 1300000 | 3 |
0.7%
|
|
| 1400000 | 1 |
0.2%
|
|
| 1500000 | 4 |
0.9%
|
|
| 1600000 | 2 |
0.5%
|
|
| 1650000 | 1 |
0.2%
|
|
| 1800000 | 7 |
1.6%
|
|
| 1900000 | 1 |
0.2%
|
|
| 1950000 | 1 |
0.2%
|
|
| 2000000 | 15 |
3.4%
|
|
| 2200000 | 1 |
0.2%
|
|
| 2300000 | 1 |
0.2%
|
|
| 2500000 | 4 |
0.9%
|
|
| 3000000 | 8 |
1.8%
|
|
| 3100000 | 1 |
0.2%
|
|
| 3200000 | 1 |
0.2%
|
|
| 3500000 | 1 |
0.2%
|
|
| 3600000 | 1 |
0.2%
|
|
| 4000000 | 6 |
1.4%
|
|
| 4500000 | 1 |
0.2%
|
|
| 5000000 | 6 |
1.4%
|
|
| 6000000 | 5 |
1.1%
|
|
| 6240000 | 1 |
0.2%
|
|
| 6500000 | 1 |
0.2%
|
|
| 7000000 | 1 |
0.2%
|
|
| 7392858 | 1 |
0.2%
|
|
| 8000000 | 4 |
0.9%
|
|
| 9000000 | 1 |
0.2%
|
|
| 10000000 | 3 |
0.7%
|
|
| 12000000 | 1 |
0.2%
|
|
| 12500000 | 1 |
0.2%
|
|
| 12900000 | 1 |
0.2%
|
|
| 15000000 | 4 |
0.9%
|
|
| 16000000 | 1 |
0.2%
|
|
| 20000000 | 6 |
1.4%
|
|
| 25000000 | 1 |
0.2%
|
|
| 26000000 | 1 |
0.2%
|
|
| 35000000 | 1 |
0.2%
|
|
| 40000000 | 2 |
0.5%
|
|
| 45000000 | 2 |
0.5%
|
|
| 48000000 | 1 |
0.2%
|
|
| 50000000 | 2 |
0.5%
|
|
| 64000000 | 1 |
0.2%
|
|
| 70000000 | 1 |
0.2%
|
|
| 100000000 | 1 |
0.2%
|
|
| 140000000 | 1 |
0.2%
|
|
| 300000000 | 1 |
0.2%
|
|
| 828000000 | 1 |
0.2%
|
|
| Sysmiss | 556 |
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