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.

Excel | CSV

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 758,517 100 421,081 100 87,149 100 1,058 3.6 - 7.9 - 6.3 - 5.1
Single modes 578,082 76.2 408,483 97 74,207 85.2 528 4 0.8 8.2 0.4 6.8 1.1 11.2
Truck4 512,813 67.6 339,429 80.6 68,810 79 484 3.1 0.7 7.1 2.4 7 1.5 12.4
For-hire truck 301,288 39.7 163,411 38.8 58,897 67.6 1,099 3 1 7.7 2.9 7.5 1.4 11.4
Private truck 211,524 27.9 176,018 41.8 9,913 11.4 44 4.8 0.7 11.3 2.3 10.2 1.1 9.8
Rail 5,549 0.7 7,754 1.8 3,589 4.1 789 34.3 0.3 36.9 0.7 20.3 0.8 21.6
Water S S S S 37 - S S S S S 32.5 0.1 S
Shallow draft S S S S S S S S S S S S S S
Deep draft S S S S 36 - S S S S S 32.6 0.1 S
Air (incl truck and air) 17,124 2.3 503 0.1 907 1 1,792 14.8 0.3 15.1 - 18.3 0.2 5.2
Pipeline5 42,448 5.6 60,528 14.4 S S S 25 1.2 24.2 2.3 S S S
Multiple modes 164,643 21.7 7,833 1.9 11,231 12.9 1,452 4.9 0.7 7.9 0.2 8.3 0.7 3.5
Parcel, U.S.P.S. or courier 154,934 20.4 3,545 0.8 4,083 4.7 1,452 4.6 0.7 9.2 0.2 8.2 0.5 3.5
Truck and rail 6,885 0.9 2,823 0.7 3,860 4.4 1,053 27.7 0.2 16.3 0.1 16 0.8 27.4
Truck and water 2,448 0.3 1,350 0.3 3,019 3.5 2,029 40.4 0.1 28.8 0.1 31.5 0.9 12.9
Rail and water 159 - 37 - 96 0.1 2,493 27.5 - 23.7 - 26.4 0.1 8.5
Other multiple modes 217 - 77 - 173 0.2 2,141 37 - 47.6 - 36.4 0.2 45.1
Other and unknown modes 15,793 2.1 4,765 1.1 1,710 2 120 12.2 0.3 16.9 0.3 26.5 0.6 25.9

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.