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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 212,955 100 212,717 100 44,280 100 473 7.4 - 6.9 - 6.4 - 9.8
01 Live animals and live fish 1,730 0.8 1,085 0.5 652 1.5 380 40.8 0.7 34.5 0.6 47.4 1.5 39.3
02 Cereal grains 1,766 0.8 12,091 5.7 4,162 9.4 S 20.4 0.1 22.1 1 14.8 1.4 S
03 Other agricultural products 1,093 0.5 2,741 1.3 992 2.2 S 18.4 0.1 18.7 0.3 28.8 0.8 S
04 Animal feed and products of animal origin, nec 4,626 2.2 8,586 4 3,881 8.8 229 25.6 0.6 20.5 1.1 29.4 2.1 35
05 Meat, fish, seafood, and their preparations 3,389 1.6 1,310 0.6 680 1.5 277 30.8 0.4 26.1 0.2 25.2 0.4 21.7
06 Milled grain products and preparations and bakery products 2,394 1.1 965 0.5 440 1 420 20.5 0.3 29.3 0.2 40 0.5 20.3
07 Other prepared foodstuffs and fats and oils 5,245 2.5 4,344 2 1,309 3 160 15.5 0.4 22.1 0.7 26.5 0.9 30.3
08 Alcoholic beverages 773 0.4 S S S S S 42.1 0.3 S S S S S
09 Tobacco products 529 0.2 10 - 1 - 83 32 0.1 28.5 - 36.8 - 13.8
10 Calcareous monumental or building stone S S S S S S 366 S S S S S S 25.2
11 Natural sands S S S S 168 0.4 S S S S S 39.6 0.1 S
12 Gravel and crushed stone 403 0.2 40,567 19.1 1,898 4.3 28 21.7 - 20 3.5 18.5 0.7 21.6
13 Nonmetallic minerals nec 122 0.1 S S 276 0.6 S 33.1 - S S 29.4 0.2 S
14 Metallic ores and concentrates S S S S S S S S S S S S S S
15 Nonagglomerated bituminous coal 1,286 0.6 41,104 19.3 3,295 7.4 83 22 0.1 25.5 4.6 14.8 1.6 37.6
17 Gasoline and aviation turbine fuel 3,708 1.7 5,204 2.4 250 0.6 43 18 0.3 18.6 0.5 24.2 0.1 18.1
18 Fuel oils 2,443 1.1 3,642 1.7 162 0.4 43 33.1 0.4 31.8 0.5 27.2 0.1 16.8
19 Coal and petroleum products, nec 2,584 1.2 3,902 1.8 1,111 2.5 S 40.8 0.4 25.7 0.7 46 1.3 S
20 Basic chemicals 758 0.4 S S S S 287 36.5 0.1 S S S S 35.6
21 Pharmaceutical products 9,394 4.4 186 0.1 51 0.1 397 47.7 2 36.5 - 40 0.1 21.5
22 Fertilizers S S S S S S S S S S S S S S
23 Chemical products and preparations, nec 2,659 1.2 1,467 0.7 469 1.1 218 20.6 0.4 32.1 0.3 35.7 0.4 25.1
24 Plastics and rubber 22,625 10.6 8,013 3.8 3,506 7.9 345 18.2 2.4 15.7 0.5 15.3 1.2 17
25 Logs and other wood in the rough S S S S S S 215 S S S S S S 34.4
26 Wood products 2,790 1.3 3,766 1.8 S S 210 20.6 0.4 19 0.3 S S 31.8
27 Pulp, newsprint, paper, and paperboard 1,138 0.5 1,200 0.6 484 1.1 251 29.5 0.2 28.8 0.2 31.8 0.4 29.2
28 Paper or paperboard articles 1,473 0.7 949 0.4 360 0.8 239 30.9 0.2 30 0.1 36.8 0.3 19.4
29 Printed products 2,427 1.1 661 0.3 337 0.8 528 18.5 0.2 25.5 0.1 26.6 0.2 14
30 Textiles, leather, and articles of textiles or leather S S S S S S 966 S S S S S S 10.7
31 Nonmetallic mineral products 4,383 2.1 17,141 8.1 3,005 6.8 268 22.6 0.5 23.1 1.7 21.9 1.3 29
32 Base metal in prim. or semifin. forms & in finished basic shapes 19,090 9 13,961 6.6 4,220 9.5 233 10.1 0.8 12.1 0.9 14 1 16.1
33 Articles of base metal 7,873 3.7 2,886 1.4 1,169 2.6 240 10.8 0.5 14.7 0.2 13.7 0.4 37.9
34 Machinery 11,301 5.3 1,358 0.6 721 1.6 249 22.5 0.9 13.2 0.1 24.9 0.4 36.4
35 Electronic & other electrical equip & components & office equip 11,615 5.5 603 0.3 401 0.9 857 14.4 1 18.1 0.1 20.2 0.2 11.2
36 Motorized and other vehicles (including parts) 42,465 19.9 7,180 3.4 4,186 9.5 488 21.9 2.8 16.6 0.4 28.4 2.7 7.6
37 Transportation equipment, nec 1,248 0.6 66 - 43 0.1 665 23.4 0.2 47.6 - 38.9 - 9.5
38 Precision instruments and apparatus 7,650 3.6 57 - 35 0.1 787 30.9 1 35.6 - 33.4 - 10.6
39 Furniture, mattresses & mattress supports, lamps, lighting 5,542 2.6 650 0.3 363 0.8 626 22.3 0.5 20.4 0.1 16.3 0.2 5.5
40 Miscellaneous manufactured products 7,553 3.5 2,226 1 1,145 2.6 717 8.3 0.4 13.9 0.1 24.1 0.7 7.1
41 Waste and scrap 1,378 0.6 3,462 1.6 346 0.8 S 32 0.2 47.8 1.1 38.8 0.3 S
43 Mixed freight 8,068 3.8 2,326 1.1 533 1.2 S 30.7 1.2 31.3 0.3 32.5 0.5 S
99 Commodity Unknown S S S S S S 1,001 S S S S S S 29.3

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.