USA Banner

Official US Government Icon

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure Site Icon

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

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

Table 6. Shipment Characteristics by Two-Digit Commodity for Metropolitan Area of Origin: 2007

Tuesday, July 3, 2012

Table 6. Shipment Characteristics by Two-Digit Commodity 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

Commodity Group (2-digit SCTG2) Value Tons Ton-miles3 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		 CV4 Standard Error of % CV Standard Error of % CV Standard Error of %
All Commodities5 50,493 100 69,132 100 5,386 100 254 12.7 - 14.8 - 11.2 - 40.6
01 Live animals and live fish S S S S S S S S S S S S S S
02 Cereal grains S S S S S S 77 S S S S S S 41
03 Other agricultural products 321 0.6 196 0.3 S S 33 47.5 0.9 45.9 0.4 S S 35.3
04 Animal feed and products of animal origin, nec 114 0.2 782 1.1 50 0.9 71 18.2 0.1 48.9 1.6 25.3 0.5 21.9
05 Meat, fish, seafood, and their preparations 123 0.2 32 - S S 98 48.6 0.2 44.3 0.1 S S 26.4
06 Milled grain products and preparations and bakery products 2,754 5.5 1,908 2.8 294 5.5 146 38.2 2.7 34.2 1.6 37.8 2 13.1
07 Other prepared foodstuffs and fats and oils 1,449 2.9 2,376 3.4 444 8.2 S 32.4 0.8 28.3 1 38.3 2.8 S
08 Alcoholic beverages 543 1.1 310 0.4 S S 32 35.8 1 44.1 0.6 S S 38.2
09 Tobacco products S S S S S S S S S S S S S S
10 Calcareous monumental or building stone 33 0.1 150 0.2 32 0.6 195 25 - 40.5 0.1 35.7 0.4 39.6
11 Natural sands 22 - S S 23 0.4 S 46.4 - S S 48.6 0.3 S
12 Gravel and crushed stone 161 0.3 21,130 30.6 S S 16 47.6 0.2 47.5 8.4 S S 19.3
13 Nonmetallic minerals nec S S 3,477 5 S S 35 S S 28.5 1.8 S S 47.8
17 Gasoline and aviation turbine fuel 4,858 9.6 6,279 9.1 378 7 44 48.1 3.3 49.1 4 48 2.5 32.5
18 Fuel oils 3,815 7.6 6,173 8.9 332 6.2 29 39.6 1.9 44.1 3.1 46.4 2 16.3
19 Coal and petroleum products, nec 408 0.8 2,034 2.9 36 0.7 89 29.9 0.3 34.1 0.7 30.5 0.2 32.3
20 Basic chemicals 784 1.6 S S 255 4.7 370 29.2 0.4 S S 44.4 2.3 34.9
21 Pharmaceutical products S S 14 - 17 0.3 S S S 29.1 - 32.2 0.2 S
23 Chemical products and preparations, nec 668 1.3 230 0.3 164 3 349 35.8 0.7 35.6 0.1 49.2 1.5 18.9
24 Plastics and rubber 2,599 5.1 545 0.8 397 7.4 677 30.1 1.1 32.4 0.2 33.1 1.9 11.6
25 Logs and other wood in the rough S S S S S S 152 S S S S S S 38.4
26 Wood products 488 1 378 0.5 50 0.9 147 19.3 0.2 35.2 0.1 41.7 0.3 14.3
27 Pulp, newsprint, paper, and paperboard 767 1.5 433 0.6 299 5.6 S 23.1 0.6 27.2 0.3 34.6 2.1 S
28 Paper or paperboard articles 860 1.7 539 0.8 115 2.1 S 11.2 0.2 15.1 0.1 17.5 0.3 S
29 Printed products S S 180 0.3 S S S S S 29.7 0.1 S S S
30 Textiles, leather, and articles of textiles or leather 2,721 5.4 280 0.4 118 2.2 877 27.7 1 36.9 0.2 30.8 0.6 12.7
31 Nonmetallic mineral products 1,067 2.1 8,908 12.9 602 11.2 68 15 0.3 17.5 3.1 18.1 1.7 48.8
32 Base metal in prim. or semifin. forms & in finished basic shapes 1,277 2.5 S S 48 0.9 S 46.2 1 S S 41.6 0.5 S
33 Articles of base metal 884 1.8 235 0.3 40 0.7 300 23.1 0.6 35.4 0.2 28.5 0.2 25.5
34 Machinery 2,111 4.2 144 0.2 92 1.7 347 29.2 1.4 29.2 0.1 43.1 1.4 25.5
35 Electronic & other electrical equip & components & office equip 1,248 2.5 44 0.1 19 0.3 1,085 34.2 1.2 37.5 - 47.9 0.2 22.4
36 Motorized and other vehicles (including parts) 1,878 3.7 S S S S 174 45 2.3 S S S S 34.7
37 Transportation equipment, nec S S S S S S 698 S S S S S S 22.5
38 Precision instruments and apparatus 1,586 3.1 12 - 9 0.2 1,093 28.9 1.3 39.1 - 28.7 0.1 7.8
39 Furniture, mattresses & mattress supports, lamps, lighting 393 0.8 43 0.1 13 0.2 373 25.7 0.2 22.7 - 25.2 0.1 30.9
40 Miscellaneous manufactured products 1,493 3 235 0.3 199 3.7 773 40.1 1.4 44 0.3 48.4 1.9 15.8
41 Waste and scrap 35 0.1 121 0.2 76 1.4 626 25.8 0.1 28.6 0.3 26.2 1.6 5.9
43 Mixed freight 7,703 15.3 3,377 4.9 440 8.2 138 25.4 2.6 25.2 1.6 18.6 1.3 18.6
99 Commodity Unknown 2 - - - - - S 26.5 - 27.2 - 42.7 - 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 Standard Classification of Transported Goods.
3 Ton-miles estimates are based on estimated distances traveled along a modeled transportation network.
4 Coefficient of Variation.
5 Estimates exclude shipments of crude petroleum (SCTG 16).

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, Tucson, AZ by Cereal grains (02) has no data for any shipment characteristic therfore 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.