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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 156,415 100 168,595 100 31,972 100 462 5.3 - 9 - 5.3 - 9.7
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 S S S S S S S S
03 Other agricultural products 628 0.4 S S S S 77 45.7 0.2 S S S S 25.1
04 Animal feed and products of animal origin, nec S S S S S S 91 S S S S S S 37.9
05 Meat, fish, seafood, and their preparations 3,298 2.1 1,568 0.9 549 1.7 102 19.4 0.6 30.6 0.2 32.9 0.7 48.4
06 Milled grain products and preparations and bakery products 4,033 2.6 4,585 2.7 1,303 4.1 285 18 0.5 23.8 0.8 21.4 0.9 12.5
07 Other prepared foodstuffs and fats and oils 6,439 4.1 7,261 4.3 2,059 6.4 107 21.2 1 28.6 1.5 20.5 1.5 22.8
08 Alcoholic beverages 2,889 1.8 771 0.5 329 1 S 28.9 0.6 30.4 0.2 42.1 0.6 S
09 Tobacco products 595 0.4 12 - S S 61 29.2 0.2 41.6 - S S 11.5
10 Calcareous monumental or building stone S S 310 0.2 64 0.2 473 S S 29.9 0.2 35.5 0.2 32.8
11 Natural sands 160 0.1 4,697 2.8 673 2.1 S 36.2 - 28.8 0.8 49.2 1 S
12 Gravel and crushed stone 639 0.4 71,311 42.3 1,849 5.8 22 20.2 0.1 21.2 6.1 24.1 1.6 21.1
13 Nonmetallic minerals nec 35 - 745 0.4 457 1.4 328 26.9 - 27.2 0.2 37.9 0.5 16.6
14 Metallic ores and concentrates 1,520 1 496 0.3 S S 508 43.2 0.8 49.6 0.3 S S 10.3
15 Nonagglomerated bituminous coal 270 0.2 6,354 3.8 1,544 4.8 S 24.5 0.1 28.5 2 38.5 2.5 S
17 Gasoline and aviation turbine fuel 1,827 1.2 2,679 1.6 57 0.2 21 31.6 0.4 34.2 0.6 30.6 0.1 28.7
18 Fuel oils 1,084 0.7 1,835 1.1 S S 45 45.9 0.3 47.6 0.5 S S 23.3
19 Coal and petroleum products, nec 3,273 2.1 S S 803 2.5 342 48.9 1.2 S S 39.6 1 33.9
20 Basic chemicals 3,661 2.3 5,122 3 2,164 6.8 408 26.9 0.6 28.6 1.5 27.8 1.7 17.3
21 Pharmaceutical products 15,947 10.2 163 0.1 S S S 38.5 4.2 40.3 - S S S
22 Fertilizers S S S S S S S S S S S S S S
23 Chemical products and preparations, nec 2,410 1.5 1,003 0.6 S S 586 43.7 0.6 39.2 0.4 S S 18.1
24 Plastics and rubber 9,285 5.9 3,132 1.9 1,976 6.2 502 17.3 1 20.7 0.5 23.3 1.4 10.6
25 Logs and other wood in the rough S S S S S S 54 S S S S S S 11.6
26 Wood products 2,101 1.3 2,529 1.5 626 2 302 9.6 0.1 26.5 0.4 15.8 0.3 26
27 Pulp, newsprint, paper, and paperboard 2,238 1.4 3,478 2.1 2,164 6.8 296 27.7 0.4 26.8 0.6 28.5 1.9 37.7
28 Paper or paperboard articles 2,274 1.5 1,773 1.1 444 1.4 396 15.4 0.2 22.2 0.4 29.1 0.4 16.6
29 Printed products 1,940 1.2 451 0.3 200 0.6 783 25.9 0.4 27.7 0.1 20.9 0.1 12.1
30 Textiles, leather, and articles of textiles or leather 6,346 4.1 914 0.5 395 1.2 881 17.3 0.7 16.9 0.1 18 0.2 8.2
31 Nonmetallic mineral products 3,058 2 12,271 7.3 1,431 4.5 365 25.3 0.5 37.4 2.8 18.6 1.1 30.9
32 Base metal in prim. or semifin. forms & in finished basic shapes 6,891 4.4 4,845 2.9 1,649 5.2 285 16.5 0.8 22.5 0.5 23.9 1.3 16.6
33 Articles of base metal 3,054 2 1,142 0.7 559 1.7 477 12 0.3 27.6 0.2 28.8 0.5 9.9
34 Machinery 17,663 11.3 2,035 1.2 1,027 3.2 735 23.1 2 23.1 0.3 15.8 0.6 9.4
35 Electronic & other electrical equip & components & office equip 5,816 3.7 628 0.4 379 1.2 374 26.5 1.3 19.8 0.1 25.3 0.2 26.9
36 Motorized and other vehicles (including parts) 13,953 8.9 2,889 1.7 1,573 4.9 235 13 1.1 13.1 0.3 16.2 0.9 33.6
37 Transportation equipment, nec 2,504 1.6 145 0.1 133 0.4 872 22.9 0.4 24 - 26.4 0.1 7
38 Precision instruments and apparatus 1,013 0.6 10 - 8 - 918 36.1 0.2 42.5 - 39.9 - 15.5
39 Furniture, mattresses & mattress supports, lamps, lighting 2,161 1.4 407 0.2 256 0.8 650 19.5 0.3 17.8 0.1 23 0.2 7.6
40 Miscellaneous manufactured products 6,133 3.9 1,354 0.8 618 1.9 858 12.5 0.5 16.1 0.2 11 0.3 11.5
41 Waste and scrap 1,148 0.7 3,877 2.3 958 3 137 19.3 0.1 24.8 0.7 33.5 0.9 17.9
43 Mixed freight 18,482 11.8 2,459 1.5 734 2.3 273 25.8 2.7 20.5 0.2 24.3 0.7 29.5
99 Commodity Unknown 4 - 1 - S S S 47.8 - 40.6 - 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.