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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 178,154 100 143,502 100 52,152 100 668 1.9 - 11.6 - 15.9 - 3.8
01 Live animals and live fish 174 0.1 S S S S S 42.9 0.1 S S S S S
02 Cereal grains 1,210 0.7 7,769 5.4 2,415 4.6 S 25 0.2 31.8 1.4 31 1.5 S
03 Other agricultural products 1,248 0.7 2,428 1.7 1,281 2.5 721 29.9 0.2 26 0.7 27.8 1.2 19.5
04 Animal feed and products of animal origin, nec 3,333 1.9 5,092 3.5 2,142 4.1 684 23.7 0.4 21.8 0.9 32 1.1 21.1
05 Meat, fish, seafood, and their preparations 5,359 3 1,783 1.2 917 1.8 634 20.4 0.6 16.7 0.3 17.7 0.5 17.3
06 Milled grain products and preparations and bakery products 1,944 1.1 2,036 1.4 857 1.6 932 35.4 0.4 43 0.7 33 0.5 18.4
07 Other prepared foodstuffs and fats and oils 22,125 12.4 12,463 8.7 5,489 10.5 563 8.7 1 10.6 1.4 16.3 2.5 17.9
08 Alcoholic beverages 1,397 0.8 1,256 0.9 157 0.3 S 46.3 0.4 46.6 0.7 32 0.1 S
09 Tobacco products 532 0.3 14 - 1 - 95 31.1 0.1 30.5 - 35.4 - 14.6
10 Calcareous monumental or building stone 56 - 391 0.3 S S S 36.2 - 42.7 0.2 S S S
11 Natural sands S S S S S S 639 S S S S S S 28.3
12 Gravel and crushed stone 273 0.2 29,727 20.7 S S S 35.9 0.1 33.3 4.9 S S S
13 Nonmetallic minerals nec 213 0.1 S S S S 340 26 - S S S S 25.1
14 Metallic ores and concentrates S S S S S S 179 S S S S S S 25.9
15 Nonagglomerated bituminous coal S S S S S S S S S S S S S S
17 Gasoline and aviation turbine fuel 3,340 1.9 4,600 3.2 322 0.6 55 19.4 0.4 20.6 0.7 26.3 0.3 14.6
18 Fuel oils 1,981 1.1 3,095 2.2 286 0.5 43 22.3 0.2 21.7 0.6 19.5 0.2 46.9
19 Coal and petroleum products, nec 918 0.5 1,115 0.8 178 0.3 S 23.1 0.1 32.5 0.3 48.9 0.2 S
20 Basic chemicals 1,718 1 S S S S 432 30 0.3 S S S S 30.6
21 Pharmaceutical products 6,489 3.6 77 0.1 26 - 405 27.5 1.1 22.4 - 36.5 - 21.8
22 Fertilizers 317 0.2 914 0.6 49 0.1 43 34.7 0.1 38.8 0.3 46.5 - 41.2
23 Chemical products and preparations, nec 2,607 1.5 1,358 0.9 393 0.8 250 17.9 0.3 39.4 0.6 36.6 0.3 24.5
24 Plastics and rubber 7,328 4.1 1,993 1.4 1,120 2.1 484 9.7 0.4 12.6 0.3 12.9 0.6 10.7
25 Logs and other wood in the rough S S 357 0.2 52 0.1 143 S S 48 0.6 44 0.2 10.6
26 Wood products 5,614 3.2 7,862 5.5 2,376 4.6 387 8.1 0.3 16 1.4 10 0.8 13.3
27 Pulp, newsprint, paper, and paperboard 8,585 4.8 7,496 5.2 4,257 8.2 379 7.2 0.4 8.2 0.5 10.6 1.4 16.1
28 Paper or paperboard articles 5,946 3.3 3,882 2.7 2,197 4.2 521 13.5 0.5 14.3 0.6 15.3 1 12.7
29 Printed products 4,047 2.3 2,064 1.4 1,504 2.9 658 14.4 0.3 25.7 0.4 27.1 1.1 10.5
30 Textiles, leather, and articles of textiles or leather 3,981 2.2 168 0.1 127 0.2 1,058 18.2 0.4 11 - 14.3 0.1 4.2
31 Nonmetallic mineral products 2,229 1.3 15,121 10.5 1,344 2.6 632 16.5 0.2 26.7 2.2 26.7 0.7 20.7
32 Base metal in prim. or semifin. forms & in finished basic shapes 5,290 3 4,252 3 1,446 2.8 533 14 0.4 38.5 0.8 24.3 0.6 15.7
33 Articles of base metal 5,745 3.2 2,368 1.7 813 1.6 531 8.2 0.2 17.7 0.4 12.6 0.3 11.8
34 Machinery 17,695 9.9 1,690 1.2 932 1.8 730 10.5 1 12.2 0.3 17.4 0.5 8
35 Electronic & other electrical equip & components & office equip 11,817 6.6 768 0.5 447 0.9 557 18.1 1.2 31.3 0.2 21.6 0.2 16.4
36 Motorized and other vehicles (including parts) 17,871 10 2,158 1.5 1,172 2.2 430 5.7 0.6 20.3 0.4 24.4 0.7 16.4
37 Transportation equipment, nec 1,028 0.6 S S S S 530 37.1 0.7 S S S S 35.7
38 Precision instruments and apparatus 1,696 1 20 - 20 - 865 28.3 0.3 30 - 47.5 - 13.4
39 Furniture, mattresses & mattress supports, lamps, lighting 3,845 2.2 775 0.5 475 0.9 687 18 0.4 20.1 0.2 27.5 0.4 10.8
40 Miscellaneous manufactured products 6,018 3.4 900 0.6 430 0.8 885 17.2 0.5 17.8 0.2 15.6 0.2 5.6
41 Waste and scrap 627 0.4 1,686 1.2 210 0.4 S 25.2 0.1 30.4 0.4 22.6 0.1 S
43 Mixed freight 12,980 7.3 3,467 2.4 680 1.3 646 10.2 0.8 9.7 0.5 16.5 0.4 15.3
99 Commodity Unknown S S S S - - S S S S S 37.6 - 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.