Enterprise Survey 2017
Peru, 2017 - 2018
Get Microdata
Reference ID
PER_2017_ES_v01_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Nov 27, 2018
Last modified
Nov 27, 2018
Page views
33925
Downloads
2556
- Data files
- peru_2017_full_data
Total Annual Expenditure For Purchases Of Land And Buildings In Last Fiscal Yr (n5b)
Data file: peru_2017_full_data
Overview
Valid:
561
Invalid:
442
Type:
Discrete
Decimal:
0
Start:
1878
End:
1885
Width:
8
Range:
-9 - 50000000
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) | 50 |
8.9%
|
| 0 | 363 |
64.7%
|
|
| 35 | 1 |
0.2%
|
|
| 8000 | 1 |
0.2%
|
|
| 12000 | 1 |
0.2%
|
|
| 15000 | 2 |
0.4%
|
|
| 20000 | 1 |
0.2%
|
|
| 25000 | 1 |
0.2%
|
|
| 27000 | 1 |
0.2%
|
|
| 30000 | 1 |
0.2%
|
|
| 40000 | 2 |
0.4%
|
|
| 50000 | 3 |
0.5%
|
|
| 58000 | 1 |
0.2%
|
|
| 60000 | 2 |
0.4%
|
|
| 70000 | 1 |
0.2%
|
|
| 76000 | 1 |
0.2%
|
|
| 80000 | 3 |
0.5%
|
|
| 90000 | 1 |
0.2%
|
|
| 97500 | 1 |
0.2%
|
|
| 100000 | 6 |
1.1%
|
|
| 104390 | 1 |
0.2%
|
|
| 110000 | 1 |
0.2%
|
|
| 120000 | 3 |
0.5%
|
|
| 144000 | 1 |
0.2%
|
|
| 150000 | 4 |
0.7%
|
|
| 170000 | 1 |
0.2%
|
|
| 180000 | 2 |
0.4%
|
|
| 188886 | 1 |
0.2%
|
|
| 200000 | 9 |
1.6%
|
|
| 250000 | 4 |
0.7%
|
|
| 270000 | 1 |
0.2%
|
|
| 300000 | 13 |
2.3%
|
|
| 325000 | 1 |
0.2%
|
|
| 350000 | 2 |
0.4%
|
|
| 360000 | 1 |
0.2%
|
|
| 400000 | 2 |
0.4%
|
|
| 500000 | 5 |
0.9%
|
|
| 504000 | 1 |
0.2%
|
|
| 606000 | 1 |
0.2%
|
|
| 650000 | 1 |
0.2%
|
|
| 652000 | 1 |
0.2%
|
|
| 700000 | 6 |
1.1%
|
|
| 800000 | 1 |
0.2%
|
|
| 900000 | 3 |
0.5%
|
|
| 911031 | 1 |
0.2%
|
|
| 1000000 | 4 |
0.7%
|
|
| 1037000 | 1 |
0.2%
|
|
| 1100000 | 1 |
0.2%
|
|
| 1200000 | 1 |
0.2%
|
|
| 1300000 | 1 |
0.2%
|
|
| 1400000 | 1 |
0.2%
|
|
| 1485000 | 1 |
0.2%
|
|
| 1500000 | 1 |
0.2%
|
|
| 1600000 | 1 |
0.2%
|
|
| 1670000 | 1 |
0.2%
|
|
| 2000000 | 4 |
0.7%
|
|
| 2100000 | 1 |
0.2%
|
|
| 2450000 | 1 |
0.2%
|
|
| 3000000 | 7 |
1.2%
|
|
| 3000100 | 1 |
0.2%
|
|
| 3200000 | 1 |
0.2%
|
|
| 3400000 | 1 |
0.2%
|
|
| 3500000 | 1 |
0.2%
|
|
| 4000000 | 2 |
0.4%
|
|
| 4500000 | 1 |
0.2%
|
|
| 4620000 | 1 |
0.2%
|
|
| 5000000 | 2 |
0.4%
|
|
| 5025000 | 1 |
0.2%
|
|
| 6000000 | 3 |
0.5%
|
|
| 7392000 | 1 |
0.2%
|
|
| 8000000 | 1 |
0.2%
|
|
| 9000000 | 1 |
0.2%
|
|
| 10005000 | 1 |
0.2%
|
|
| 15000000 | 1 |
0.2%
|
|
| 17000000 | 1 |
0.2%
|
|
| 18000000 | 1 |
0.2%
|
|
| 20000000 | 1 |
0.2%
|
|
| 32000000 | 1 |
0.2%
|
|
| 35000000 | 1 |
0.2%
|
|
| 50000000 | 1 |
0.2%
|
|
| Sysmiss | 442 |
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.