Multiple Indicator Cluster Survey 2005-2006
Jamaica, 2005 - 2006
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
342
- 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
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.