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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.

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 243,052 100 209,792 100 33,282 100 484 6.6 - 16.7 - 9.7 - 9.8
01 Live animals and live fish 16 - S S S S 59 38.5 - S S S S 30.1
02 Cereal grains S S S S S S S S S S S S S S
03 Other agricultural products 3,850 1.6 S S 517 1.6 S 27.8 0.5 S S 36.2 0.6 S
04 Animal feed and products of animal origin, nec 1,758 0.7 2,100 1 397 1.2 149 39.5 0.5 36 1.1 44.8 1.2 26.9
05 Meat, fish, seafood, and their preparations 6,705 2.8 2,532 1.2 1,137 3.4 458 18.5 0.3 26.4 0.2 28.3 0.7 20.1
06 Milled grain products and preparations and bakery products 4,848 2 2,434 1.2 923 2.8 806 23.7 0.5 26.9 0.5 28.1 0.8 18.7
07 Other prepared foodstuffs and fats and oils 8,707 3.6 6,140 2.9 2,013 6 345 22.8 0.9 30.9 1.6 30.4 2.3 27.2
08 Alcoholic beverages 2,925 1.2 2,357 1.1 S S 32 28.6 0.4 37.2 1 S S 10.2
09 Tobacco products 535 0.2 41 - 9 - 135 31.1 0.1 37.2 - 39.9 - 30.8
10 Calcareous monumental or building stone 115 - S S S S S 39 - S S S S S
11 Natural sands 79 - 3,450 1.6 112 0.3 S 29.6 - 34.2 0.7 33.2 0.1 S
12 Gravel and crushed stone 616 0.3 54,264 25.9 2,033 6.1 29 28.5 0.1 26.8 4.6 41.3 2 21
13 Nonmetallic minerals nec 92 - 624 0.3 127 0.4 511 45.9 - 34.6 0.1 35.5 0.2 24.4
14 Metallic ores and concentrates 76 - S S S S 338 35.5 - S S S S 25.5
17 Gasoline and aviation turbine fuel S S S S S S 31 S S S S S S 15.6
18 Fuel oils S S S S S S 24 S S S S S S 17.6
19 Coal and petroleum products, nec 1,397 0.6 S S S S 69 31.3 0.2 S S S S 17.6
20 Basic chemicals 2,315 1 S S S S S 24.3 0.3 S S S S S
21 Pharmaceutical products 18,760 7.7 656 0.3 297 0.9 302 30.4 2.2 42.7 0.2 46.3 0.3 21.9
22 Fertilizers 46 - 48 - S S 196 36.5 - 49.4 - S S 33.6
23 Chemical products and preparations, nec 7,734 3.2 4,929 2.3 1,588 4.8 539 19.7 0.7 25.6 1.2 29.1 1.6 14.5
24 Plastics and rubber 12,057 5 4,338 2.1 1,914 5.7 441 16.1 0.8 20.3 0.5 21.9 1.4 20.4
25 Logs and other wood in the rough S S S S S S 114 S S S S S S -
26 Wood products 3,733 1.5 5,459 2.6 917 2.8 107 13.7 0.2 15 0.6 17 0.7 7.9
27 Pulp, newsprint, paper, and paperboard 2,599 1.1 2,506 1.2 777 2.3 187 22.8 0.2 23.4 0.3 20.5 0.5 20.4
28 Paper or paperboard articles 3,384 1.4 6,282 3 4,829 14.5 308 22.6 0.4 25.5 1.1 35.1 4.1 34.7
29 Printed products 2,687 1.1 1,204 0.6 411 1.2 936 23.1 0.3 31.8 0.2 31.1 0.3 22.5
30 Textiles, leather, and articles of textiles or leather 8,076 3.3 1,077 0.5 656 2 879 14.2 0.5 18.3 0.2 19.8 0.5 12.3
31 Nonmetallic mineral products 4,782 2 18,732 8.9 1,564 4.7 425 17.3 0.4 22.5 2.2 25.3 1 19.6
32 Base metal in prim. or semifin. forms & in finished basic shapes 10,477 4.3 7,356 3.5 1,999 6 329 27.8 1.1 34.2 1.6 30.7 1.8 26.2
33 Articles of base metal 7,014 2.9 1,916 0.9 695 2.1 523 22.7 0.6 36 0.4 33.1 1 10
34 Machinery 12,682 5.2 980 0.5 459 1.4 456 12.7 0.7 18.6 0.1 18.4 0.3 15.4
35 Electronic & other electrical equip & components & office equip 19,739 8.1 1,312 0.6 575 1.7 533 8.7 0.8 26.6 0.3 33.7 0.8 12
36 Motorized and other vehicles (including parts) 28,690 11.8 3,346 1.6 864 2.6 339 15.9 1.4 21.5 0.4 18 0.5 18.4
37 Transportation equipment, nec 5,185 2.1 190 0.1 60 0.2 684 45 1.2 36.6 0.1 40.4 0.1 21.1
38 Precision instruments and apparatus 5,282 2.2 100 - 60 0.2 921 16.5 0.4 15.9 - 17.8 - 8
39 Furniture, mattresses & mattress supports, lamps, lighting 4,271 1.8 723 0.3 298 0.9 511 29.2 0.6 26.7 0.1 22.7 0.2 14.5
40 Miscellaneous manufactured products 6,947 2.9 1,271 0.6 513 1.5 655 31.9 0.6 26.8 0.3 40.7 0.8 11.9
41 Waste and scrap 1,771 0.7 7,209 3.4 1,442 4.3 171 44.6 0.4 46.5 1.6 40.7 2.2 49.1
43 Mixed freight 24,628 10.1 10,857 5.2 1,523 4.6 358 16.6 2 32.7 1.8 15 0.7 12
99 Commodity Unknown S S S S S S 742 S S S S S S 29

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.