Table 1. Shipment Characteristics by Mode of Transportation for Metropolitan Area of Origin: 2007

Table 1. Shipment Characteristics by Mode of Transportation 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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Mode of transportation Value Tons Ton-miles2 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
CV3 Standard Error of % CV Standard Error of % CV Standard Error of %
All modes 98,546 100 190,514 100 31,993 100 224 11.4 - 12.4 - 12.9 - 10.3
Single modes 82,866 84.1 164,180 86.2 22,648 70.8 118 11.1 1.9 11 2.6 17.2 7.1 15.1
Truck4 21,422 21.7 45,757 24 S S 104 8.8 3.8 27.4 6.7 S S 15.6
For-hire truck 12,791 13 25,306 13.3 S S 342 16.2 3.1 34.4 5.1 S S 21
Private truck 8,631 8.8 20,451 10.7 565 1.8 54 11.3 1.4 33.5 3.1 18.3 0.4 14.8
Rail 7,422 7.5 S S 5,472 17.1 782 28.7 2.6 S S 21.6 5.3 4.4
Water 18,259 18.5 48,568 25.5 6,499 20.3 399 19.7 2.7 18.3 3.6 28.9 4.5 21.4
Shallow draft 15,632 15.9 40,527 21.3 5,667 17.7 237 23.5 2.5 19.8 2.9 33.2 4.4 16.2
Deep draft 2,627 2.7 8,041 4.2 833 2.6 903 34.2 1.3 45.1 2.2 45.5 1.4 13.1
Air (incl truck and air) 275 0.3 4 - 5 - S 48.9 0.3 36 - 40.6 - S
Pipeline5 35,487 36 53,281 28 S S S 24.3 6 25.1 6.9 S S S
Multiple modes 14,799 15 25,636 13.5 9,320 29.1 641 19 1.9 27.1 2.6 26.7 7.2 10.4
Parcel, U.S.P.S. or courier 3,367 3.4 46 - 27 0.1 638 23.7 1.3 16.9 - 24.5 - 10.6
Truck and rail 96 0.1 198 0.1 165 0.5 847 23.5 0.1 25.3 0.1 24.5 0.7 8.3
Truck and water 4,974 5 10,691 5.6 2,125 6.6 2,842 28.1 1.7 34.6 1.8 45.1 3.7 34.6
Rail and water 80 0.1 194 0.1 S S 764 45.5 0.3 45.2 0.6 S S 47.5
Other multiple modes 6,281 6.4 14,508 7.6 6,774 21.2 453 10.7 1.5 14.2 2.2 16.5 9.2 15.4
Other and unknown modes 882 0.9 S S 26 0.1 69 29.1 0.4 S S 41.4 - 38.6

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 Ton-miles estimates are based on estimated distances traveled along a modeled transportation network.
3 Coefficient of Variation.
4 "Truck" as a single mode includes any shipment that was made by private truck only, by for-hire truck only, or by a combination of private and for-hire truck.
5 Estimates for pipeline exclude shipments of crude petroleum.

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, Honolulu, HI by Rail 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.