Table 5. Shipment Characteristics by Commodity Group for Metropolitan Area of Origin: 2007

Table 5. Shipment Characteristics by Commodity Group for Metropolitan Area of Origin: 2007

Estimates are based on data from the 2007 Commodity Flow Survey. Because of rounding, estimates may not be additive.

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Commodity Group (2-digit SCTG2) Value Tons Ton-miles3 Average miles
per shipment
Value Tons Ton-miles Average miles per shipment CV
2007
(million $)
Percent of total 2007
(thousands)
Percent of total 2007
(millions)
Percent of
total
CV4 Standard Error of % CV Standard Error of % CV Standard Error of %
All Commodities5 250,064 100 274,454 100 48,008 100 565 9.4 - 9.8 - 11.6 - 12
01-05 Agriculture products and fish 8,631 3.5 8,764 3.2 1,658 3.5 161 12.3 0.4 21.6 0.7 18.3 0.8 16.1
06-09 Grains, alcohol, and tobacco products 25,408 10.2 21,165 7.7 5,922 12.3 123 13.5 1.4 9.2 0.7 13.2 2.3 15.5
10-14 Stones, nonmetallic minerals, and metallic ores 1,593 0.6 92,710 33.8 3,487 7.3 43 25 0.2 23.5 6.4 18 1.7 28
15-19 Coal and petroleum products 14,224 5.7 76,148 27.7 13,657 28.4 44 19.4 1.4 26.3 6.4 44.9 8.4 14.2
20-24 Basic chemicals, chemical, and pharmaceutical products 32,448 13 13,976 5.1 3,595 7.5 440 13.2 1.5 30.4 1.7 14.1 1.7 14
25-30 Logs, wood products, and textile and leather 54,918 22 20,141 7.3 10,234 21.3 832 43.5 4.9 13.6 1.1 30 4.3 14.6
31-34 Base metal and machinery 33,426 13.4 14,206 5.2 4,569 9.5 399 7.7 1.1 6.1 0.5 11.8 1.5 8.3
35-38 Electronic, motorized vehicles, and precision instruments 34,073 13.6 2,578 0.9 1,465 3.1 499 11.1 1.6 12.2 0.2 14.3 0.4 11.7
39-43 Furniture, mixed freight and misc. manufactured products 45,322 18.1 24,764 9 3,420 7.1 673 10.4 2.5 35.3 3.4 17.8 2.2 13.7
99 Commodity Unknown 23 - S S S S S 30.3 - S S S S S

KEY: S = Estimate does not meet publication standards because of high sampling variability or poor response quality. - = Zero or Less than half the unit shown; thus, it has been rounded to zero.

1 Commodity Flow Survey (CFS) geographic areas were drawn from a subset of Combined Statistical Areas (CSAs) and Metropolitan Statistical Areas (MeSAs) as defined by the Office of Management and Budget (OMB). However, CFS metropolitan areas are divided into their state parts when they include more than one state. In addition, the CFS also utilizes a unique geography referred to as, "remainder of state," to represent those areas of a state not contained within a separately published metropolitan area for the CFS (as opposed to not part of any Core-Based Statistical Area (CBSA) as defined by OMB). Because of the differences in the CFS geography, as compared to OMB defined geography, caution should be exercised when comparing CFS estimates to other estimates of similar geography.
2 Standard Classification of Transported Goods.
3 Ton-miles estimates are based on estimated distances traveled along a modeled transportation network.
4 Coefficient of Variation.
5 Estimates exclude shipments of crude petroleum (SCTG 16).

NOTES: Value-of-shipment estimates are reported in current prices. Estimated measures of sampling variability for each estimate known as coefficients of variation (CV) are also provided in these tables. More information on sampling error, confidentiality protection, nonsampling error, sample design, and definitions may be found at http://www.bts.gov/publications/commodity_flow_survey/.
Rows are not shown if all cells for that particular row have no value. For example, Washington-Arlington-Alexandria, DC-VA-MD-WV (DC part) by Coal and petroleum products (15-19) has no data for any shipment characteristic therefore the entire row is not shown.

SOURCE: U.S. Department of Transportation, Research and Innovative Technology Administration, Bureau of Transportation Statistics and U.S. Department of Commerce, U.S. Census Bureau, 2007 Economic Census: Transportation Commodity Flow Survey, December 2009.