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U.S. Department of Transportation U.S. Department of Transportation Icon United States Department of Transportation United States Department of Transportation

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

Tuesday, July 3, 2012

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 156,415 100 168,595 100 31,972 100 462 5.3 - 9 - 5.3 - 9.7
Single modes 137,141 87.7 160,923 95.4 26,986 84.4 203 5.8 1.6 10.1 1.7 3.3 4 16.5
Truck4 132,497 84.7 148,917 88.3 20,193 63.2 176 6 1.8 10.7 2.6 4 5.1 11.5
For-hire truck 91,216 58.3 70,210 41.6 16,550 51.8 537 6.8 2.6 8.6 2.7 2.7 3.5 5.5
Private truck 41,281 26.4 78,707 46.7 3,643 11.4 71 11.6 2.3 15.7 4.1 13.9 2 7.7
Rail 3,630 2.3 9,795 5.8 6,294 19.7 782 25.8 0.5 22.3 1.4 21.9 4 9.8
Water 227 0.1 2,131 1.3 S S S 35.9 0.1 42.8 1 S S S
Shallow draft 227 0.1 2,131 1.3 S S S 35.9 0.1 42.8 1 S S S
Air (incl truck and air) 776 0.5 14 - 13 - 1,014 40.1 0.2 30.5 - 27.8 - 15.4
Pipeline5 11 - S S S S S 32 - S S S S S
Multiple modes 17,131 11 6,030 3.6 4,610 14.4 819 14.5 1.4 36.2 1.8 36.1 3.9 2.9
Parcel, U.S.P.S. or courier 13,263 8.5 316 0.2 244 0.8 818 22.3 1.7 17.6 0.1 19.4 0.1 3
Truck and rail 3,100 2 2,501 1.5 1,864 5.8 1,269 25.3 0.5 32.9 0.7 27.5 1.5 8
Truck and water S S S S S S 2,407 S S S S S S 20.1
Rail and water S S S S S S S S S S S S S S
Other multiple modes S S S S S S 783 S S S S S S 21.4
Other and unknown modes 2,142 1.4 1,642 1 376 1.2 S 16.7 0.3 31.1 0.3 31.7 0.4 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 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.