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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / MEX_2006_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2006

Mexico, 2006
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Reference ID
MEX_2006_ES_v01_M_WB
DOI
https://doi.org/10.48529/ps7x-hn70
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Interactive tools
Created on
Mar 24, 2011
Last modified
Sep 26, 2013
Page views
39426
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  • Study Description
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  • Mexico-2006--full
    data-

Hypothetical cost to purchase its own machinery vehicles and equipment in use (Ln7b)

Data file: Mexico-2006--full data-

Overview

Valid: 1122
Invalid: 358
Type: Discrete
Decimal: 0
Start: 1173
End: 1182
Width: 10
Range: -9 - 400000000
Format: Numeric

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
Categories
Value Category Cases
-9 131
11.7%
-8 49
4.4%
-7 2
0.2%
0 63
5.6%
5 1
0.1%
9 2
0.2%
6000 1
0.1%
8000 1
0.1%
15000 1
0.1%
21000 2
0.2%
25000 2
0.2%
30000 1
0.1%
33500 1
0.1%
40000 2
0.2%
49000 1
0.1%
50000 2
0.2%
56000 1
0.1%
60000 3
0.3%
70000 5
0.4%
80000 3
0.3%
84000 1
0.1%
85000 2
0.2%
90000 3
0.3%
95000 1
0.1%
100000 7
0.6%
105000 4
0.4%
110000 1
0.1%
112000 1
0.1%
120000 5
0.4%
123000 1
0.1%
140000 2
0.2%
150000 5
0.4%
160000 1
0.1%
175000 3
0.3%
180000 2
0.2%
188000 1
0.1%
194000 1
0.1%
200000 11
1%
210000 3
0.3%
230000 1
0.1%
245000 2
0.2%
250000 7
0.6%
270000 1
0.1%
280000 5
0.4%
300000 16
1.4%
310000 1
0.1%
315000 1
0.1%
350000 10
0.9%
380000 2
0.2%
385000 2
0.2%
400000 5
0.4%
420000 7
0.6%
450000 4
0.4%
455000 1
0.1%
460000 1
0.1%
490000 6
0.5%
500000 24
2.1%
525000 2
0.2%
550000 4
0.4%
560000 7
0.6%
595000 1
0.1%
600000 17
1.5%
630000 1
0.1%
650000 2
0.2%
680000 1
0.1%
700000 24
2.1%
750000 3
0.3%
780000 1
0.1%
790000 1
0.1%
800000 23
2%
825000 1
0.1%
850000 2
0.2%
870000 1
0.1%
890000 1
0.1%
900000 6
0.5%
920000 2
0.2%
950000 3
0.3%
975000 1
0.1%
980000 1
0.1%
1000000 56
5%
1050000 3
0.3%
1100000 1
0.1%
1120000 1
0.1%
1200000 15
1.3%
1250000 2
0.2%
1260000 1
0.1%
1300000 11
1%
1400000 6
0.5%
1450000 1
0.1%
1500000 49
4.4%
1600000 7
0.6%
1700000 2
0.2%
1750000 2
0.2%
1800000 11
1%
2000000 72
6.4%
2100000 2
0.2%
2200000 1
0.1%
2300000 4
0.4%
2450000 1
0.1%
2500000 14
1.2%
2800000 4
0.4%
2900000 1
0.1%
3000000 49
4.4%
3080000 1
0.1%
3200000 1
0.1%
3500000 17
1.5%
3800000 4
0.4%
4000000 35
3.1%
4200000 2
0.2%
4500000 4
0.4%
4800000 1
0.1%
4900000 2
0.2%
5000000 19
1.7%
5500000 1
0.1%
5600000 2
0.2%
5900000 1
0.1%
6000000 31
2.8%
7000000 13
1.2%
7500000 3
0.3%
7700000 1
0.1%
8000000 11
1%
8300000 1
0.1%
8400000 2
0.2%
8800000 1
0.1%
9000000 2
0.2%
10000000 23
2%
12000000 6
0.5%
12500000 1
0.1%
12900000 1
0.1%
13000000 2
0.2%
14000000 3
0.3%
15000000 8
0.7%
16000000 5
0.4%
18000000 2
0.2%
20000000 8
0.7%
21000000 1
0.1%
22000000 2
0.2%
23000000 2
0.2%
25000000 8
0.7%
30000000 2
0.2%
31000000 1
0.1%
32000000 1
0.1%
35000000 1
0.1%
38082418 1
0.1%
40000000 4
0.4%
40010000 1
0.1%
43000000 1
0.1%
45000000 1
0.1%
48000000 1
0.1%
50000000 2
0.2%
52000000 1
0.1%
54000000 1
0.1%
55000000 1
0.1%
56000000 1
0.1%
60000000 4
0.4%
63000000 1
0.1%
70000000 4
0.4%
80000000 3
0.3%
85000000 1
0.1%
100000000 6
0.5%
140000000 1
0.1%
150000000 1
0.1%
200000000 2
0.2%
250000000 1
0.1%
300000000 1
0.1%
350000000 1
0.1%
600000000 1
0.1%
690000000 1
0.1%
1000000000 1
0.1%
Sysmiss 358
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.
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