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.
| 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 | 47,431 | 100 | 40,275 | 100 | 14,023 | 100 | 385 | 6.2 | - | 10.9 | - | 23.1 | - | 9.6 |
| Single modes | 40,037 | 84.4 | 38,810 | 96.4 | 13,467 | 96 | 135 | 6.4 | 1.1 | 10.8 | 0.8 | 23.6 | 1.1 | 15.2 |
| Truck4 | 39,263 | 82.8 | 31,541 | 78.3 | 5,281 | 37.7 | 128 | 6.6 | 1.1 | 8.4 | 3.7 | 7.9 | 8.4 | 15.3 |
| For-hire truck | 20,914 | 44.1 | 13,095 | 32.5 | 4,069 | 29 | 348 | 6.8 | 1.9 | 9.2 | 3.4 | 9.1 | 6.8 | 10 |
| Private truck | 18,349 | 38.7 | 18,447 | 45.8 | 1,212 | 8.6 | 60 | 8.9 | 2.1 | 13.6 | 3.7 | 13.1 | 1.9 | 19.3 |
| Rail | 374 | 0.8 | 5,981 | 14.9 | 7,771 | 55.4 | 823 | 16.7 | 0.2 | 35.4 | 3.4 | 36.6 | 9.1 | 9.3 |
| Water | S | S | 1,195 | 3 | 405 | 2.9 | 633 | S | S | 28.8 | 5.7 | 24.4 | 8.8 | 21.7 |
| Great Lakes | S | S | 1,195 | 3 | 405 | 2.9 | 633 | S | S | 28.8 | 5.7 | 24.4 | 8.8 | 21.7 |
| Air (incl truck and air) | 273 | 0.6 | S | S | 2 | - | 755 | 46.1 | 0.3 | S | S | 37.3 | - | 13.7 |
| Pipeline5 | S | S | S | S | S | S | S | S | S | S | S | S | S | S |
| Multiple modes | 6,169 | 13 | 995 | 2.5 | 418 | 3 | 668 | 6.8 | 1.1 | 46.9 | 0.7 | 31 | 1 | 6.3 |
| Parcel, U.S.P.S. or courier | 6,030 | 12.7 | 140 | 0.3 | 93 | 0.7 | 668 | 7.1 | 1.1 | 7.8 | 0.1 | 14.2 | 0.3 | 6.3 |
| Truck and rail | 128 | 0.3 | 166 | 0.4 | 143 | 1 | 1,095 | 26.7 | 0.2 | 42.4 | 0.5 | 33.1 | 1.5 | 24.6 |
| Truck and water | 3 | - | S | S | S | S | 269 | 49 | 0.1 | S | S | S | S | 0.6 |
| Other multiple modes | S | S | S | S | S | S | 249 | S | S | S | S | S | S | - |
| Other and unknown modes | 1,225 | 2.6 | 470 | 1.2 | 138 | 1 | 99 | 43.4 | 0.6 | 33.7 | 0.3 | 30.6 | 0.4 | 36 |
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.