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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.

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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 169,772 100 356,091 100 102,551 100 528 19 - 11.6 - 14.2 - 8.8
01 Live animals and live fish 345 0.2 86 - 3 - 34 5.1 0.8 4.7 0.1 5.8 - 5.3
02 Cereal grains 730 0.4 4,295 1.2 3,792 3.7 S 38.9 0.4 43 1.3 46.1 3 S
03 Other agricultural products 1,472 0.9 4,499 1.3 S S 157 34.8 0.5 49.9 0.5 S S 22.3
04 Animal feed and products of animal origin, nec 1,121 0.7 2,527 0.7 963 0.9 322 27.3 0.2 31 0.3 46.5 0.5 27.7
05 Meat, fish, seafood, and their preparations 1,652 1 740 0.2 311 0.3 331 21.7 0.3 25.8 0.1 26.3 0.1 15.9
06 Milled grain products and preparations and bakery products 1,288 0.8 1,143 0.3 399 0.4 256 24.2 0.2 42.4 0.2 30.4 0.2 37.6
07 Other prepared foodstuffs and fats and oils 4,400 2.6 2,971 0.8 1,062 1 133 17.2 0.5 16.7 0.2 27.6 0.4 34.1
08 Alcoholic beverages 1,339 0.8 566 0.2 215 0.2 S 24.9 0.3 40.6 0.1 25.2 0.1 S
09 Tobacco products 1,527 0.9 56 - 18 - 157 18.9 0.2 24.2 - 17.9 - 25.7
10 Calcareous monumental or building stone S S S S S S S S S S S S S S
11 Natural sands 13 - S S S S 24 34.1 - S S S S 16.2
12 Gravel and crushed stone 459 0.3 60,302 16.9 8,149 7.9 S 19 0.1 19 2.2 27.6 3.4 S
13 Nonmetallic minerals nec 68 - 275 0.1 114 0.1 229 45.1 - 33.9 0.1 38.8 0.1 41.8
14 Metallic ores and concentrates S S S S S S S S S S S S S S
15 Nonagglomerated bituminous coal 7,695 4.5 192,517 54.1 65,464 63.8 83 17.1 1.1 15 3.8 21.1 6.2 40
17 Gasoline and aviation turbine fuel 4,679 2.8 7,493 2.1 170 0.2 S 33.4 0.9 33.8 0.8 35 0.1 S
18 Fuel oils S S S S 299 0.3 32 S S S S 38.1 0.1 15.5
19 Coal and petroleum products, nec 1,705 1 5,324 1.5 1,171 1.1 S 29.2 0.3 21.6 0.3 41.4 0.3 S
20 Basic chemicals 5,319 3.1 3,505 1 1,757 1.7 427 19.2 1 23.8 0.2 22.1 0.4 19.2
21 Pharmaceutical products 4,084 2.4 33 - 14 - 334 36.3 1.1 27.3 - 31.9 - 26.8
22 Fertilizers 109 0.1 344 0.1 S S 340 43.2 - 45.6 0.1 S S 29.6
23 Chemical products and preparations, nec 2,895 1.7 1,264 0.4 689 0.7 748 26.5 0.5 30.2 0.2 28.2 0.3 14.1
24 Plastics and rubber 4,514 2.7 1,757 0.5 890 0.9 426 15.2 0.6 12.8 0.1 15.4 0.3 18.6
25 Logs and other wood in the rough 54 - 361 0.1 40 - 98 38.1 - 33.1 0.1 43.5 - 37.2
26 Wood products 4,284 2.5 5,863 1.6 1,080 1.1 179 35 0.5 25.7 0.7 25.1 0.2 29.4
27 Pulp, newsprint, paper, and paperboard 1,561 0.9 1,577 0.4 881 0.9 451 17 0.2 21.7 0.1 19.2 0.2 14
28 Paper or paperboard articles 1,831 1.1 1,052 0.3 667 0.7 520 16.6 0.3 19.1 - 21.7 0.1 10.6
29 Printed products 2,430 1.4 426 0.1 214 0.2 798 28.9 0.2 18.4 - 22 0.1 10.7
30 Textiles, leather, and articles of textiles or leather 6,332 3.7 427 0.1 282 0.3 754 38.2 1.8 27.4 - 27.3 0.1 7.2
31 Nonmetallic mineral products 1,834 1.1 8,389 2.4 846 0.8 198 15.3 0.2 25.8 0.6 20.9 0.4 20.1
32 Base metal in prim. or semifin. forms & in finished basic shapes 14,447 8.5 10,590 3 3,819 3.7 235 9.8 1 12 0.4 11.7 0.6 32
33 Articles of base metal 3,637 2.1 1,703 0.5 739 0.7 306 19.8 0.6 23.9 0.2 29.7 0.4 18
34 Machinery 9,689 5.7 1,220 0.3 649 0.6 478 15.5 0.8 22.7 0.1 24.8 0.2 6.3
35 Electronic & other electrical equip & components & office equip 5,434 3.2 598 0.2 293 0.3 728 14.7 0.5 28.3 0.1 19.2 0.1 11.5
36 Motorized and other vehicles (including parts) S S 6,169 1.7 4,290 4.2 745 S S 28.3 0.7 43.2 1.7 10.4
37 Transportation equipment, nec S S S S S S 382 S S S S S S 28.1
38 Precision instruments and apparatus 205 0.1 8 - 6 - 528 33.8 - 31.5 - 32.2 - 12.6
39 Furniture, mattresses & mattress supports, lamps, lighting 1,803 1.1 285 0.1 98 0.1 719 38.3 0.4 33.1 - 33.4 0.1 16.2
40 Miscellaneous manufactured products 5,271 3.1 742 0.2 387 0.4 734 18.6 0.6 26.8 0.1 28.9 0.3 8.5
41 Waste and scrap 1,234 0.7 5,144 1.4 1,301 1.3 S 42.9 0.5 49.8 1.2 43.7 1.2 S
43 Mixed freight 9,223 5.4 2,781 0.8 528 0.5 319 17 1.2 14.5 0.2 18.7 0.2 19.1
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.