Enterprise Survey 2006
Peru, 2006
Get Microdata
Reference ID
PER_2006_ES_v01_M_WB
Producer(s)
World Bank
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
7534
Downloads
1001
- Data files
-
Peru-2006--full
data-
Hypothetical cost to purchase its own land and buildings (Ln7a)
Data file: Peru-2006--full data-
Overview
Valid:
360
Invalid:
272
Type:
Discrete
Decimal:
0
Start:
1108
End:
1116
Width:
9
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?
Machinery and equipment (including vehicles)
Machinery and equipment (including vehicles)
Categories
| Value | Category |
|---|---|
| -9 | |
| -8 | |
| -7 | |
| 0 | |
| 500 | |
| 1800 | |
| 2000 | |
| 3000 | |
| 3300 | |
| 4000 | |
| 6000 | |
| 7500 | |
| 9800 | |
| 10000 | |
| 11600 | |
| 12000 | |
| 15000 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17200 | |
| 18000 | |
| 18150 | |
| 20000 | |
| 25000 | |
| 26400 | |
| 26500 | |
| 30000 | |
| 32000 | |
| 33000 | |
| 35000 | |
| 40000 | |
| 46000 | |
| 48000 | |
| 49500 | |
| 50000 | |
| 52000 | |
| 52500 | |
| 57000 | |
| 58000 | |
| 59400 | |
| 60000 | |
| 64480 | |
| 65000 | |
| 66000 | |
| 70000 | |
| 75000 | |
| 78000 | |
| 80000 | |
| 85000 | |
| 90000 | |
| 95000 | |
| 97000 | |
| 99000 | |
| 100000 | |
| 105000 | |
| 110000 | |
| 115500 | |
| 117250 | |
| 120000 | |
| 132000 | |
| 138600 | |
| 140000 | |
| 143256 | |
| 146900 | |
| 150000 | |
| 160000 | |
| 165000 | |
| 167500 | |
| 175000 | |
| 180000 | |
| 190000 | |
| 195000 | |
| 200000 | |
| 231000 | |
| 235000 | |
| 250000 | |
| 260000 | |
| 272363 | |
| 280000 | |
| 300000 | |
| 320000 | |
| 330000 | |
| 350000 | |
| 390000 | |
| 396000 | |
| 400000 | |
| 450000 | |
| 487500 | |
| 490000 | |
| 500000 | |
| 526213 | |
| 541000 | |
| 550000 | |
| 576180 | |
| 580000 | |
| 594000 | |
| 600000 | |
| 650000 | |
| 660000 | |
| 700000 | |
| 730000 | |
| 800000 | |
| 815000 | |
| 1000000 | |
| 1056000 | |
| 1100000 | |
| 1150000 | |
| 1200000 | |
| 1300000 | |
| 1485000 | |
| 1494000 | |
| 1500000 | |
| 1600000 | |
| 1650000 | |
| 1700000 | |
| 1750000 | |
| 1800000 | |
| 1950000 | |
| 2000000 | |
| 2400000 | |
| 2440000 | |
| 2500000 | |
| 2640000 | |
| 2800000 | |
| 3000000 | |
| 3200000 | |
| 3500000 | |
| 4000000 | |
| 5000000 | |
| 5720000 | |
| 5850000 | |
| 6500000 | |
| 6600000 | |
| 6800000 | |
| 7000000 | |
| 7500000 | |
| 8000000 | |
| 9750000 | |
| 9900000 | |
| 10000000 | |
| 10500000 | |
| 12000000 | |
| 13600000 | |
| 14000000 | |
| 15000000 | |
| 16000000 | |
| 20000000 | |
| 20810808 | |
| 28000000 | |
| 30000000 | |
| 33250000 | |
| 35000000 | |
| 40000000 | |
| 40200000 | |
| 46000000 | |
| 50000000 | |
| 66000000 | |
| 82500000 | |
| 90000000 | |
| 120000000 | |
| 150000000 | |
| 200000000 | |
| 250000000 | |
| 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.