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 126,557 100 77,592 100 13,905 100 759 9.5 - 22.2 - 13.3 - 10.6
02 Cereal grains 429 0.3 2,127 2.7 972 7 367 34.4 0.3 13.9 1 27.4 2.8 22.8
03 Other agricultural products 312 0.2 995 1.3 775 5.6 803 26.3 0.1 31.7 0.4 32.2 1.9 17.8
04 Animal feed and products of animal origin, nec 971 0.8 525 0.7 179 1.3 374 35.5 0.4 27.8 0.4 30.6 0.5 15
05 Meat, fish, seafood, and their preparations 475 0.4 109 0.1 S S S 28.9 0.2 38.9 0.1 S S S
06 Milled grain products and preparations and bakery products 1,509 1.2 810 1 209 1.5 576 35 0.5 21.1 0.3 14.4 0.3 15.1
07 Other prepared foodstuffs and fats and oils 2,879 2.3 3,631 4.7 740 5.3 S 35.1 1.2 21.7 1.2 26.8 1.5 S
08 Alcoholic beverages 2,136 1.7 2,351 3 416 3 41 23.7 0.4 29.5 0.7 41.2 1.1 46.4
09 Tobacco products 194 0.2 2 - - - 76 32.2 0.1 46.2 - 44 - 22.7
11 Natural sands S S S S 150 1.1 S S S S S 46.8 0.6 S
12 Gravel and crushed stone 81 0.1 11,450 14.8 S S S 39.5 - 41.3 7.4 S S S
13 Nonmetallic minerals nec S S S S S S S S S S S S S S
14 Metallic ores and concentrates S S S S S S 174 S S S S S S 40.3
15 Nonagglomerated bituminous coal S S S S S S S S S S S S S S
17 Gasoline and aviation turbine fuel 2,582 2 4,365 5.6 99 0.7 24 25.9 0.7 27 2.1 34 0.2 10.1
18 Fuel oils 1,326 1 2,531 3.3 87 0.6 25 21.8 0.4 24.9 1.2 35.4 0.3 11.6
19 Coal and petroleum products, nec 217 0.2 S S 13 0.1 S 37.1 0.1 S S 49.3 0.1 S
20 Basic chemicals 236 0.2 S S S S 602 50 0.2 S S S S 22.9
21 Pharmaceutical products 18,357 14.5 55 0.1 20 0.1 513 40.3 5.5 25.1 - 40.1 0.1 18.5
22 Fertilizers 243 0.2 554 0.7 316 2.3 504 24.6 0.1 21.7 0.4 33.6 1 21
23 Chemical products and preparations, nec 11,357 9 1,454 1.9 742 5.3 228 43.4 3.2 19.1 0.7 24.8 1.5 37.6
24 Plastics and rubber 2,727 2.2 702 0.9 375 2.7 352 18.2 0.6 20.7 0.4 27.4 1 27
25 Logs and other wood in the rough S S S S S S S S S S S S S S
26 Wood products 1,073 0.8 1,293 1.7 224 1.6 116 33.7 0.3 37.9 0.8 40 0.8 18.5
27 Pulp, newsprint, paper, and paperboard 1,781 1.4 1,391 1.8 559 4 200 26.5 0.5 24 0.8 28.9 1.5 35.6
28 Paper or paperboard articles 685 0.5 331 0.4 71 0.5 S 42.7 0.2 21.5 0.1 32.3 0.1 S
29 Printed products 664 0.5 238 0.3 75 0.5 479 46.6 0.3 47.7 0.1 47.8 0.3 31
30 Textiles, leather, and articles of textiles or leather 18,334 14.5 412 0.5 277 2 1,031 19.6 2.5 28 0.2 29.4 0.4 9.9
31 Nonmetallic mineral products 2,465 1.9 10,069 13 842 6.1 419 14.6 0.5 21 2.5 15.5 0.9 25.2
32 Base metal in prim. or semifin. forms & in finished basic shapes 2,055 1.6 3,559 4.6 S S 249 20.8 0.6 40.4 3.3 S S 26.8
33 Articles of base metal 2,740 2.2 680 0.9 272 2 513 23.5 0.5 24.2 0.4 35.2 0.7 16.6
34 Machinery 6,869 5.4 603 0.8 200 1.4 295 20.6 1 19.5 0.2 22.7 0.5 34.4
35 Electronic & other electrical equip & components & office equip 8,487 6.7 S S S S 649 29.2 1.6 S S S S 11.8
36 Motorized and other vehicles (including parts) 16,943 13.4 2,190 2.8 1,420 10.2 368 23 2.3 26.3 0.5 33.8 2.3 23.3
37 Transportation equipment, nec 155 0.1 97 0.1 S S 684 34.8 0.1 40 0.3 S S 15
38 Precision instruments and apparatus 1,097 0.9 S S S S 421 32.9 0.4 S S S S 31
39 Furniture, mattresses & mattress supports, lamps, lighting 2,247 1.8 622 0.8 175 1.3 432 20.6 0.5 33.9 0.4 49.6 0.7 24.8
40 Miscellaneous manufactured products 2,028 1.6 259 0.3 83 0.6 526 21.3 0.3 23.1 0.1 30.9 0.1 15
41 Waste and scrap 612 0.5 2,153 2.8 S S 635 33.3 0.2 37.4 1.6 S S 23.6
43 Mixed freight 12,095 9.6 3,723 4.8 643 4.6 269 14.3 1.3 21.5 1.3 14.2 1 24.4
99 Commodity Unknown S S S S S S S S S S S S S 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.