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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
39300
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3876
  • Study Description
  • Data Description
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  • Mexico-2006--full
    data-

Value of last main product shipment to main destination (Lt9)

Data file: Mexico-2006--full data-

Overview

Valid: 939
Invalid: 541
Type: Discrete
Decimal: 0
Start: 544
End: 552
Width: 9
Range: -9 - 12000000
Format: Numeric

Questions and instructions

Literal question
What was the total value of the last shipment of the establishment’s main product to its primary destination?
Categories
Value Category Cases
-9 Don't know 58
6.2%
-8 Refusal to answer 17
1.8%
9 1
0.1%
200 1
0.1%
300 2
0.2%
400 3
0.3%
425 1
0.1%
480 1
0.1%
500 1
0.1%
600 3
0.3%
700 3
0.3%
750 1
0.1%
780 1
0.1%
890 1
0.1%
1000 9
1%
1200 3
0.3%
1250 1
0.1%
1500 6
0.6%
1600 2
0.2%
1800 1
0.1%
1900 1
0.1%
2000 4
0.4%
2400 1
0.1%
2460 1
0.1%
2500 5
0.5%
2700 2
0.2%
2800 1
0.1%
3000 12
1.3%
3450 1
0.1%
3500 8
0.9%
4000 11
1.2%
4300 1
0.1%
4500 4
0.4%
4800 3
0.3%
5000 17
1.8%
5200 1
0.1%
5500 2
0.2%
6000 11
1.2%
6500 2
0.2%
7000 13
1.4%
7500 5
0.5%
7806 1
0.1%
8000 11
1.2%
8400 1
0.1%
8500 1
0.1%
9000 5
0.5%
9200 1
0.1%
9800 1
0.1%
9900 1
0.1%
10000 22
2.3%
11000 1
0.1%
11500 1
0.1%
12000 15
1.6%
12500 3
0.3%
13000 2
0.2%
13575 1
0.1%
14000 4
0.4%
14200 1
0.1%
15000 23
2.4%
15400 1
0.1%
16000 3
0.3%
16800 1
0.1%
17000 3
0.3%
17500 1
0.1%
18000 7
0.7%
18500 1
0.1%
20000 22
2.3%
21000 2
0.2%
21642 1
0.1%
22000 4
0.4%
22500 1
0.1%
23000 1
0.1%
24500 1
0.1%
25000 10
1.1%
26000 2
0.2%
26500 1
0.1%
27000 3
0.3%
28000 5
0.5%
28500 2
0.2%
30000 22
2.3%
31500 1
0.1%
31666 1
0.1%
32400 1
0.1%
34000 2
0.2%
35000 6
0.6%
36000 2
0.2%
38000 2
0.2%
38500 1
0.1%
40000 15
1.6%
43500 1
0.1%
44000 1
0.1%
44800 1
0.1%
45000 10
1.1%
45600 1
0.1%
46000 1
0.1%
48000 4
0.4%
50000 21
2.2%
53000 1
0.1%
55000 2
0.2%
58000 1
0.1%
60000 13
1.4%
65000 4
0.4%
68000 2
0.2%
69000 1
0.1%
70000 15
1.6%
72000 1
0.1%
75000 8
0.9%
78000 1
0.1%
79000 1
0.1%
80000 13
1.4%
81000 1
0.1%
85000 3
0.3%
86000 1
0.1%
90000 11
1.2%
93000 1
0.1%
95000 1
0.1%
96000 1
0.1%
100000 29
3.1%
101500 1
0.1%
104000 1
0.1%
105000 2
0.2%
110000 1
0.1%
115000 1
0.1%
120000 7
0.7%
121600 1
0.1%
125000 2
0.2%
127000 1
0.1%
130000 3
0.3%
136000 1
0.1%
140000 4
0.4%
149000 1
0.1%
150000 24
2.6%
158000 1
0.1%
160000 8
0.9%
170000 2
0.2%
175000 1
0.1%
180000 2
0.2%
185000 1
0.1%
187000 1
0.1%
190000 1
0.1%
200000 16
1.7%
205000 1
0.1%
210000 2
0.2%
220000 3
0.3%
225000 1
0.1%
230000 1
0.1%
235000 1
0.1%
250000 10
1.1%
260000 1
0.1%
275000 1
0.1%
280000 5
0.5%
285000 1
0.1%
300000 16
1.7%
302000 1
0.1%
320000 2
0.2%
325000 1
0.1%
345000 1
0.1%
350000 9
1%
360000 1
0.1%
380000 1
0.1%
400000 11
1.2%
450000 4
0.4%
480000 1
0.1%
495000 1
0.1%
500000 9
1%
530000 1
0.1%
600000 12
1.3%
650000 3
0.3%
660000 1
0.1%
700000 3
0.3%
720000 1
0.1%
730000 1
0.1%
739206 1
0.1%
750000 12
1.3%
780000 2
0.2%
800000 11
1.2%
815000 1
0.1%
850000 6
0.6%
870000 1
0.1%
900000 3
0.3%
937000 1
0.1%
950000 2
0.2%
985000 1
0.1%
1000000 18
1.9%
1090000 1
0.1%
1100000 2
0.2%
1120000 1
0.1%
1150000 1
0.1%
1200000 4
0.4%
1300000 3
0.3%
1500000 8
0.9%
1600000 1
0.1%
1700000 1
0.1%
1720000 1
0.1%
1750000 1
0.1%
1800000 3
0.3%
1850000 2
0.2%
1900000 1
0.1%
1950000 2
0.2%
2000000 15
1.6%
2300000 1
0.1%
2500000 3
0.3%
2700000 1
0.1%
2800000 3
0.3%
2900000 1
0.1%
2980000 1
0.1%
3000000 2
0.2%
3200000 1
0.1%
3500000 3
0.3%
4000000 4
0.4%
4100000 1
0.1%
4500000 2
0.2%
5000000 3
0.3%
5500000 3
0.3%
6500000 1
0.1%
7000000 3
0.3%
8000000 1
0.1%
9000000 2
0.2%
10500000 1
0.1%
12000000 1
0.1%
15000000 1
0.1%
16000000 1
0.1%
19000000 1
0.1%
20000000 2
0.2%
35000000 2
0.2%
39000000 1
0.1%
51000000 1
0.1%
57000000 1
0.1%
90000000 1
0.1%
150000000 1
0.1%
Sysmiss 541
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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