Enterprise Survey 2006-2017, Panel data
Peru, 2006 - 2017
Get Microdata
Reference ID
PER_2006-2017_ES-P_v01_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Apr 11, 2019
Last modified
Apr 11, 2019
Page views
47453
Downloads
2584
- Data files
- Peru_2006_2010_2017
Total Annual Expenditure For Purchases Of Land And Buildings In Last Fiscal Yr (n5b)
Data file: Peru_2006_2010_2017
Overview
Valid:
1891
Invalid:
744
Minimum:
-9
Maximum:
135000000
Type:
Discrete
Decimal:
0
Start:
716
End:
724
Width:
9
Range:
-9 - 135000000
Format:
Numeric
Questions and instructions
Literal question
In fiscal year 2015, how much did this establishment spend on purchases of and buildings, including expansion and renovations of existing structures?
- land and buildings, including expansion and renovations of existing structures?
- land and buildings, including expansion and renovations of existing structures?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don't know (spontaneous) | 97 |
5.1%
|
| -8 | 12 |
0.6%
|
|
| -7 | 1 |
0.1%
|
|
| 0 | 1394 |
73.7%
|
|
| 35 | 1 |
0.1%
|
|
| 4000 | 1 |
0.1%
|
|
| 4321 | 1 |
0.1%
|
|
| 8000 | 1 |
0.1%
|
|
| 10114 | 1 |
0.1%
|
|
| 12000 | 1 |
0.1%
|
|
| 15000 | 2 |
0.1%
|
|
| 18000 | 1 |
0.1%
|
|
| 20000 | 2 |
0.1%
|
|
| 24000 | 2 |
0.1%
|
|
| 25000 | 3 |
0.2%
|
|
| 27000 | 1 |
0.1%
|
|
| 30000 | 5 |
0.3%
|
|
| 32000 | 2 |
0.1%
|
|
| 36300 | 1 |
0.1%
|
|
| 40000 | 4 |
0.2%
|
|
| 42000 | 1 |
0.1%
|
|
| 47000 | 1 |
0.1%
|
|
| 48000 | 2 |
0.1%
|
|
| 50000 | 9 |
0.5%
|
|
| 52500 | 1 |
0.1%
|
|
| 58000 | 1 |
0.1%
|
|
| 60000 | 6 |
0.3%
|
|
| 61050 | 1 |
0.1%
|
|
| 69000 | 1 |
0.1%
|
|
| 70000 | 2 |
0.1%
|
|
| 74800 | 1 |
0.1%
|
|
| 75000 | 2 |
0.1%
|
|
| 76000 | 1 |
0.1%
|
|
| 77000 | 2 |
0.1%
|
|
| 80000 | 4 |
0.2%
|
|
| 86000 | 1 |
0.1%
|
|
| 90000 | 1 |
0.1%
|
|
| 95000 | 1 |
0.1%
|
|
| 97500 | 1 |
0.1%
|
|
| 98000 | 1 |
0.1%
|
|
| 100000 | 10 |
0.5%
|
|
| 104200 | 1 |
0.1%
|
|
| 104390 | 1 |
0.1%
|
|
| 105000 | 2 |
0.1%
|
|
| 110000 | 3 |
0.2%
|
|
| 113600 | 1 |
0.1%
|
|
| 120000 | 9 |
0.5%
|
|
| 122800 | 1 |
0.1%
|
|
| 140000 | 1 |
0.1%
|
|
| 144000 | 1 |
0.1%
|
|
| 145000 | 1 |
0.1%
|
|
| 150000 | 9 |
0.5%
|
|
| 151200 | 1 |
0.1%
|
|
| 157000 | 1 |
0.1%
|
|
| 165000 | 3 |
0.2%
|
|
| 168000 | 1 |
0.1%
|
|
| 170000 | 1 |
0.1%
|
|
| 180000 | 4 |
0.2%
|
|
| 186000 | 1 |
0.1%
|
|
| 188886 | 1 |
0.1%
|
|
| 195060 | 1 |
0.1%
|
|
| 200000 | 19 |
1%
|
|
| 210000 | 1 |
0.1%
|
|
| 230000 | 1 |
0.1%
|
|
| 240000 | 3 |
0.2%
|
|
| 250000 | 7 |
0.4%
|
|
| 260000 | 1 |
0.1%
|
|
| 270000 | 2 |
0.1%
|
|
| 284000 | 2 |
0.1%
|
|
| 286000 | 1 |
0.1%
|
|
| 300000 | 26 |
1.4%
|
|
| 320000 | 1 |
0.1%
|
|
| 324000 | 1 |
0.1%
|
|
| 325000 | 1 |
0.1%
|
|
| 330000 | 2 |
0.1%
|
|
| 335000 | 1 |
0.1%
|
|
| 350000 | 4 |
0.2%
|
|
| 359000 | 1 |
0.1%
|
|
| 360000 | 2 |
0.1%
|
|
| 371000 | 1 |
0.1%
|
|
| 395000 | 1 |
0.1%
|
|
| 396000 | 1 |
0.1%
|
|
| 400000 | 6 |
0.3%
|
|
| 410000 | 1 |
0.1%
|
|
| 420000 | 1 |
0.1%
|
|
| 427618 | 1 |
0.1%
|
|
| 448000 | 1 |
0.1%
|
|
| 450000 | 3 |
0.2%
|
|
| 480000 | 1 |
0.1%
|
|
| 500000 | 10 |
0.5%
|
|
| 504000 | 1 |
0.1%
|
|
| 520000 | 1 |
0.1%
|
|
| 562500 | 1 |
0.1%
|
|
| 577000 | 1 |
0.1%
|
|
| 580000 | 1 |
0.1%
|
|
| 600000 | 5 |
0.3%
|
|
| 606000 | 1 |
0.1%
|
|
| 650000 | 1 |
0.1%
|
|
| 652000 | 1 |
0.1%
|
|
| 670000 | 1 |
0.1%
|
|
| 700000 | 13 |
0.7%
|
|
| 750000 | 3 |
0.2%
|
|
| 792000 | 1 |
0.1%
|
|
| 800000 | 4 |
0.2%
|
|
| 801000 | 1 |
0.1%
|
|
| 858000 | 1 |
0.1%
|
|
| 870000 | 1 |
0.1%
|
|
| 900000 | 6 |
0.3%
|
|
| 911031 | 1 |
0.1%
|
|
| 1000000 | 12 |
0.6%
|
|
| 1010800 | 1 |
0.1%
|
|
| 1037000 | 1 |
0.1%
|
|
| 1050000 | 2 |
0.1%
|
|
| 1100000 | 1 |
0.1%
|
|
| 1200000 | 2 |
0.1%
|
|
| 1206046 | 1 |
0.1%
|
|
| 1300000 | 3 |
0.2%
|
|
| 1400000 | 2 |
0.1%
|
|
| 1420000 | 1 |
0.1%
|
|
| 1450000 | 1 |
0.1%
|
|
| 1485000 | 1 |
0.1%
|
|
| 1500000 | 4 |
0.2%
|
|
| 1600000 | 1 |
0.1%
|
|
| 1670000 | 1 |
0.1%
|
|
| 1675000 | 1 |
0.1%
|
|
| 1704000 | 1 |
0.1%
|
|
| 1800000 | 1 |
0.1%
|
|
| 1995182 | 1 |
0.1%
|
|
| 2000000 | 8 |
0.4%
|
|
| 2100000 | 1 |
0.1%
|
|
| 2450000 | 1 |
0.1%
|
|
| 2500000 | 2 |
0.1%
|
|
| 2640000 | 1 |
0.1%
|
|
| 2671900 | 1 |
0.1%
|
|
| 3000000 | 11 |
0.6%
|
|
| 3000100 | 1 |
0.1%
|
|
| 3200000 | 1 |
0.1%
|
|
| 3400000 | 1 |
0.1%
|
|
| 3500000 | 1 |
0.1%
|
|
| 3600000 | 1 |
0.1%
|
|
| 3750000 | 1 |
0.1%
|
|
| 4000000 | 2 |
0.1%
|
|
| 4260000 | 1 |
0.1%
|
|
| 4500000 | 3 |
0.2%
|
|
| 4620000 | 1 |
0.1%
|
|
| 5000000 | 6 |
0.3%
|
|
| 5025000 | 1 |
0.1%
|
|
| 5680000 | 1 |
0.1%
|
|
| 5800000 | 1 |
0.1%
|
|
| 6000000 | 6 |
0.3%
|
|
| 6167000 | 1 |
0.1%
|
|
| 7000000 | 1 |
0.1%
|
|
| 7392000 | 1 |
0.1%
|
|
| 7400000 | 1 |
0.1%
|
|
| 8000000 | 1 |
0.1%
|
|
| 8500000 | 1 |
0.1%
|
|
| 9000000 | 1 |
0.1%
|
|
| 9750000 | 1 |
0.1%
|
|
| 10000000 | 1 |
0.1%
|
|
| 10005000 | 1 |
0.1%
|
|
| 15000000 | 1 |
0.1%
|
|
| 17000000 | 1 |
0.1%
|
|
| 18000000 | 1 |
0.1%
|
|
| 19000000 | 1 |
0.1%
|
|
| 20000000 | 4 |
0.2%
|
|
| 24000000 | 1 |
0.1%
|
|
| 30000000 | 1 |
0.1%
|
|
| 32000000 | 1 |
0.1%
|
|
| 35000000 | 1 |
0.1%
|
|
| 40000000 | 1 |
0.1%
|
|
| 50000000 | 1 |
0.1%
|
|
| 135000000 | 1 |
0.1%
|
|
| Sysmiss | 744 |
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.