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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 198,781 100 328,463 100 68,185 100 275 6.5 - 11.6 - 7.1 - 18.9
01 Live animals and live fish S S 29 - S S S S S 49.3 - S S S
02 Cereal grains 2,960 1.5 16,642 5.1 2,337 3.4 76 24.3 0.4 23.5 1.3 39.9 1.6 21.9
03 Other agricultural products 1,648 0.8 2,158 0.7 1,500 2.2 511 28.2 0.3 31.4 0.3 41.3 1.1 23.1
04 Animal feed and products of animal origin, nec 2,470 1.2 7,782 2.4 1,206 1.8 156 18.6 0.2 25.7 0.7 19.6 0.4 13.4
05 Meat, fish, seafood, and their preparations 12,545 6.3 3,676 1.1 2,345 3.4 206 16.4 1 16.5 0.2 17.1 0.7 43
06 Milled grain products and preparations and bakery products 851 0.4 1,286 0.4 S S S 45.1 0.2 46.5 0.3 S S S
07 Other prepared foodstuffs and fats and oils 9,040 4.5 9,487 2.9 2,812 4.1 166 12.1 0.4 9.9 0.5 18.3 0.8 22.4
08 Alcoholic beverages 1,258 0.6 1,070 0.3 37 0.1 36 28.5 0.2 46.6 0.1 42 - 26
09 Tobacco products 300 0.2 11 - 2 - S 29.4 0.1 49.9 - 33.9 - S
10 Calcareous monumental or building stone S S S S S S S S S S S S S S
11 Natural sands 263 0.1 24,095 7.3 2,586 3.8 S 37.2 0.1 48.1 3.4 32.9 1.4 S
12 Gravel and crushed stone 279 0.1 34,389 10.5 S S 77 20.3 - 35.8 2.7 S S 28.5
13 Nonmetallic minerals nec 509 0.3 5,297 1.6 S S 281 48.1 0.1 49.4 0.7 S S 28.5
14 Metallic ores and concentrates 40 - 441 0.1 196 0.3 377 47.3 - 24.7 0.1 28.3 0.2 22.2
15 Nonagglomerated bituminous coal 1,047 0.5 61,661 18.8 717 1.1 S 37.9 0.2 43.4 5 44.2 0.5 S
17 Gasoline and aviation turbine fuel 29,745 15 41,207 12.5 4,224 6.2 43 15.5 1.6 15.2 2 27.5 1.9 16.2
18 Fuel oils 17,853 9 27,561 8.4 2,087 3.1 S 16 1.1 17.2 1.1 17.8 0.5 S
19 Coal and petroleum products, nec 5,350 2.7 6,157 1.9 1,915 2.8 S 19.5 0.5 15.8 0.3 15.6 0.5 S
20 Basic chemicals 12,742 6.4 17,251 5.3 14,906 21.9 411 18.4 1 26.4 1.3 30.5 4.9 27.7
21 Pharmaceutical products 3,397 1.7 85 - 35 0.1 1,117 29.1 0.7 38.9 - 43.7 - 16.2
22 Fertilizers 1,037 0.5 3,271 1 414 0.6 S 41.3 0.3 42.2 0.4 38.8 0.3 S
23 Chemical products and preparations, nec 3,441 1.7 1,601 0.5 647 0.9 S 16.8 0.4 25.7 0.1 20.5 0.2 S
24 Plastics and rubber 11,069 5.6 6,055 1.8 4,919 7.2 256 20.2 1 21.4 0.7 26.4 2.4 49.1
25 Logs and other wood in the rough S S S S S S 164 S S S S S S 28.5
26 Wood products 2,550 1.3 8,426 2.6 2,556 3.7 170 17.1 0.2 25.3 0.8 29.9 1.2 19.9
27 Pulp, newsprint, paper, and paperboard 1,445 0.7 1,456 0.4 986 1.4 325 27.3 0.2 32 0.1 32.4 0.5 33.3
28 Paper or paperboard articles 2,019 1 1,542 0.5 425 0.6 153 27.6 0.3 36.8 0.2 32.3 0.2 29.3
29 Printed products 1,805 0.9 284 0.1 123 0.2 S 29.7 0.3 16 - 21.9 - S
30 Textiles, leather, and articles of textiles or leather 2,624 1.3 239 0.1 157 0.2 1,070 31.1 0.3 24.3 - 23.1 0.1 8.8
31 Nonmetallic mineral products 3,500 1.8 20,401 6.2 3,490 5.1 S 12.2 0.2 29.5 1.6 21 0.7 S
32 Base metal in prim. or semifin. forms & in finished basic shapes 8,614 4.3 4,058 1.2 1,609 2.4 267 14.4 0.5 19 0.3 14.6 0.4 21
33 Articles of base metal 10,093 5.1 4,146 1.3 1,572 2.3 394 24.4 0.9 42 0.3 29.3 0.7 18.2
34 Machinery 10,700 5.4 1,663 0.5 1,015 1.5 273 16.2 1 35.6 0.1 49.3 0.7 29.3
35 Electronic & other electrical equip & components & office equip 7,667 3.9 778 0.2 478 0.7 518 23 0.9 31 0.1 33.9 0.3 31
36 Motorized and other vehicles (including parts) 2,078 1 371 0.1 246 0.4 S 19.9 0.2 25.6 - 22.9 0.1 S
37 Transportation equipment, nec 1,462 0.7 482 0.1 S S 459 32.2 0.2 47.1 0.1 S S 23
38 Precision instruments and apparatus 693 0.3 6 - 4 - S 44.7 0.1 43.4 - 41.2 - S
39 Furniture, mattresses & mattress supports, lamps, lighting 1,947 1 462 0.1 355 0.5 1,058 34 0.4 29.4 - 38.5 0.2 16.3
40 Miscellaneous manufactured products 2,938 1.5 1,229 0.4 562 0.8 970 21.6 0.3 29.9 0.1 32.9 0.3 15.6
41 Waste and scrap 872 0.4 3,779 1.2 S S 309 42.6 0.2 45.5 0.8 S S 35.8
43 Mixed freight 19,750 9.9 5,126 1.6 2,040 3 400 15.4 1.5 13.1 0.4 30.3 1.1 27.1
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.