Enterprise Survey 2006
Chile, 2006
Get Microdata
Reference ID
CHL_2006_ES_v01_M_WB
Producer(s)
World Bank
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
14303
Downloads
1048
- Data files
-
Chile-2006--full
data-1
Hypothetical cost to purchase its own machinery vehicles and equipment in use (Ln7b)
Data file: Chile-2006--full data-1
Overview
Valid:
640
Invalid:
377
Type:
Discrete
Decimal:
0
Start:
1300
End:
1311
Width:
12
Range:
-
Format:
Questions and instructions
Literal question
If this establishment had to hypothetically purchase its own land and buildings, and machinery and equipment in use now, as they are in their current condition, how much would it cost to purchase each of the following?
Land and buildings
Land and buildings
Categories
| Value | Category |
|---|---|
| -9 | |
| 0 | |
| 120000 | |
| 4000000 | |
| 6000000 | |
| 7000000 | |
| 8000000 | |
| 10000000 | |
| 10400000 | |
| 13000000 | |
| 15000000 | |
| 20000000 | |
| 25000000 | |
| 30000000 | |
| 35000000 | |
| 40000000 | |
| 45000000 | |
| 50000000 | |
| 60000000 | |
| 65000000 | |
| 66000000 | |
| 70000000 | |
| 76579822 | |
| 80000000 | |
| 90000000 | |
| 90316000 | |
| 94000000 | |
| 95000000 | |
| 100000000 | |
| 103000000 | |
| 110000000 | |
| 115000000 | |
| 120000000 | |
| 130000000 | |
| 140000000 | |
| 150000000 | |
| 160000000 | |
| 170000000 | |
| 180000000 | |
| 190000000 | |
| 200000000 | |
| 205000000 | |
| 210000000 | |
| 230000000 | |
| 240000000 | |
| 250000000 | |
| 260000000 | |
| 272000000 | |
| 280000000 | |
| 300000000 | |
| 310000000 | |
| 320000000 | |
| 335000000 | |
| 350000000 | |
| 360000000 | |
| 380000000 | |
| 400000000 | |
| 412500000 | |
| 420000000 | |
| 450000000 | |
| 451000000 | |
| 460000000 | |
| 480000000 | |
| 500000000 | |
| 534000000 | |
| 542000000 | |
| 550000000 | |
| 580000000 | |
| 600000000 | |
| 620000000 | |
| 640000000 | |
| 690000000 | |
| 700000000 | |
| 750000000 | |
| 797000000 | |
| 800000000 | |
| 810000000 | |
| 850000000 | |
| 868000000 | |
| 900000000 | |
| 1000000000 | |
| 1080000000 | |
| 1094000000 | |
| 1100000000 | |
| 1200000000 | |
| 1400000000 | |
| 1500000000 | |
| 1600000000 | |
| 1800000000 | |
| 2000000000 | |
| 2100000000 | |
| 2124000000 | |
| 2160000000 | |
| 2200000000 | |
| 2300000000 | |
| 2360000000 | |
| 2400000000 | |
| 2500000000 | |
| 2600000000 | |
| 2650000000 | |
| 2700000000 | |
| 2800000000 | |
| 2858000000 | |
| 3000000000 | |
| 3108000000 | |
| 3200000000 | |
| 3300000000 | |
| 3560000000 | |
| 3600000000 | |
| 3660000000 | |
| 4000000000 | |
| 4400000000 | |
| 4600000000 | |
| 5000000000 | |
| 5100000000 | |
| 7000000000 | |
| 7200000000 | |
| 8000000000 | |
| 10000000000 | |
| 12000000000 | |
| 13000000000 | |
| 14000000000 | |
| 15000000000 | |
| 25000000000 | |
| 100000000000 | |
| 216972000000 | |
| 477000000000 | |
| 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.