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 410,343 100 450,997 100 81,285 100 325 8.7 - 6.9 - 11.9 - 16.6
Single modes 357,180 87 403,003 89.4 65,084 80.1 128 8.3 1.1 6.6 1.6 12 2.6 8.8
Truck4 198,194 48.3 176,374 39.1 25,032 30.8 118 9.2 2.7 11.5 4.4 5.4 3.2 9.6
For-hire truck 116,698 28.4 84,592 18.8 20,217 24.9 337 13.3 1.8 19 2.8 7.8 3.1 8.7
Private truck 81,496 19.9 91,782 20.4 4,814 5.9 42 14.6 3 21.1 4.6 19.9 1.4 7.7
Rail 48,737 11.9 55,304 12.3 35,672 43.9 838 20.5 1.7 22.8 2 20.3 4.3 5.3
Water 20,564 5 40,128 8.9 1,192 1.5 S 27 1.3 29.6 2.9 30.3 0.4 S
Shallow draft 19,837 4.8 39,459 8.7 803 1 S 26 1.4 28.5 3.1 37.5 0.3 S
Deep draft S S S S 389 0.5 2,606 S S S S 43.9 0.2 37
Air (incl truck and air) S S S S S S 1,200 S S S S S S 11
Pipeline5 85,249 20.8 131,140 29.1 S S S 14.1 2.9 13.4 3.7 S S S
Multiple modes 44,475 10.8 42,036 9.3 15,489 19.1 718 14 1 21.3 1.7 19.6 2.7 9.8
Parcel, U.S.P.S. or courier 18,029 4.4 434 0.1 223 0.3 715 12.6 0.7 14.6 - 20.9 0.1 10
Truck and rail 7,017 1.7 7,964 1.8 6,691 8.2 1,061 13.7 0.2 19.6 0.3 14.7 1.5 13.7
Truck and water 3,684 0.9 5,957 1.3 1,410 1.7 2,208 28.3 0.3 35.4 0.5 35.1 0.8 35.4
Rail and water 3,230 0.8 5,720 1.3 1,528 1.9 2,931 28.4 0.3 34.6 0.5 34.2 0.7 32.3
Other multiple modes 12,516 3.1 21,960 4.9 S S 196 37.3 0.7 27.6 1.2 S S 33.2
Other and unknown modes 8,688 2.1 5,958 1.3 712 0.9 44 18.5 0.3 38.1 0.4 42.4 0.2 25

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.