Table 2. Shipment Characteristics by Mode of Transportation for Metropolitan Area of Destination: 2007

Table 2. Shipment Characteristics by Mode of Transportation for Metropolitan Area of Destination: 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 80,912 100 127,868 100 39,130 100 687 5.1 - 10.6 - 14.4 - 6.3
Single modes 69,689 86.1 114,068 89.2 29,033 74.2 267 6.1 1.1 12.2 2.8 18 5.2 6
Truck4 63,244 78.2 84,669 66.2 9,545 24.4 241 6.4 1.8 15.3 4.1 3.6 4.8 6.4
For-hire truck 32,695 40.4 38,077 29.8 6,877 17.6 523 6.7 2.6 12.9 3.6 4.5 3.2 5.5
Private truck 30,549 37.8 46,592 36.4 2,668 6.8 112 12.7 3.2 26.5 5.3 9.9 1.9 9.8
Rail 2,325 2.9 9,920 7.8 5,550 14.2 608 21.9 0.6 31.3 1.9 33.7 2.7 10.2
Water 3,108 3.8 18,052 14.1 13,859 35.4 522 25.4 0.8 19.9 2.2 28 4.4 19.8
Shallow draft 3,060 3.8 17,955 14 13,851 35.4 552 25.9 0.8 20.1 2.2 28 4.4 18.3
Deep draft 49 0.1 97 0.1 8 - 81 26.9 0.4 32.5 1 32.4 0.2 -
Air (incl truck and air) 524 0.6 3 - 5 - 1,502 30.7 0.2 19.9 - 24.9 - 6.1
Pipeline5 486 0.6 1,424 1.1 S S S 49.3 2.1 34.3 2.9 S S S
Multiple modes 9,761 12.1 12,725 10 10,033 25.6 986 7.8 1.1 23.5 2.9 24.5 5.2 4.7
Parcel, U.S.P.S. or courier 7,648 9.5 212 0.2 159 0.4 987 7.9 0.9 7.9 - 8.6 0.1 4.7
Truck and rail 1,056 1.3 1,715 1.3 796 2 604 31 0.4 31 0.4 25.1 0.4 18.1
Truck and water 663 0.8 8,455 6.6 6,545 16.7 361 33.7 0.4 20.1 2.9 21.6 4.8 30.2
Rail and water S S S S S S S S S S S S S S
Other multiple modes 372 0.5 2,327 1.8 2,530 6.5 1,182 25.5 0.4 27.1 1.7 25.5 3.2 6.5
Other and unknown modes 1,462 1.8 1,074 0.8 64 0.2 80 19.9 0.4 36.7 0.4 13.9 - 46.9

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, Phoenix-Mesa-Scottsdale, AZ by Water 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.