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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 65,562 100 164,751 100 77,302 100 621 5.7 - 6.8 - 15.4 - 11.4
01 Live animals and live fish S S S S S S 92 S S S S S S 18.8
02 Cereal grains 4,603 7 26,869 16.3 17,073 22.1 174 32.3 2.1 30.5 4.4 43.5 5.3 27.9
03 Other agricultural products 3,228 4.9 10,534 6.4 5,588 7.2 259 19.8 0.9 23.1 1.5 27.2 1.7 43.1
04 Animal feed and products of animal origin, nec 3,981 6.1 22,549 13.7 3,912 5.1 S 39.2 2.3 46.3 4.7 30.3 4 S
05 Meat, fish, seafood, and their preparations 4,224 6.4 1,529 0.9 980 1.3 697 28.9 1.8 29.5 0.3 27.1 0.6 9.8
06 Milled grain products and preparations and bakery products 893 1.4 S S S S 462 46.7 0.8 S S S S 28.3
07 Other prepared foodstuffs and fats and oils 7,160 10.9 10,186 6.2 4,625 6 203 19 2.1 24.6 1.3 22.1 2.1 15.6
08 Alcoholic beverages 1,434 2.2 2,100 1.3 1,369 1.8 142 10 0.2 10.9 0.1 14.5 0.2 36.2
09 Tobacco products 59 0.1 5 - 1 - 71 12 - 33 - 46.3 - 12.5
10 Calcareous monumental or building stone S S S S S S S S S S S S S S
11 Natural sands 150 0.2 4,323 2.6 3,060 4 325 27.3 0.1 22.7 0.6 30.6 1.9 44.9
12 Gravel and crushed stone 57 0.1 8,077 4.9 548 0.7 48 21.3 - 23.2 1.2 32.9 0.2 49.1
13 Nonmetallic minerals nec S S 318 0.2 255 0.3 411 S S 36.9 0.1 44.1 0.3 35.5
14 Metallic ores and concentrates 2,208 3.4 51,347 31.2 28,753 37.2 422 20 0.7 20 6.6 35.5 8.7 23.3
15 Nonagglomerated bituminous coal S S 75 - 6 - 85 S S 16.6 0.1 24 - 12.1
17 Gasoline and aviation turbine fuel 218 0.3 358 0.2 S S 18 45.2 0.2 48.4 0.1 S S 11.2
18 Fuel oils S S S S S S 20 S S S S S S 32
19 Coal and petroleum products, nec 865 1.3 3,633 2.2 S S S 21.4 0.3 47.9 1.2 S S S
20 Basic chemicals 199 0.3 262 0.2 125 0.2 938 36 0.1 25.9 0.1 34.4 0.1 25
21 Pharmaceutical products 271 0.4 S S S S 739 23.6 0.1 S S S S 28.3
22 Fertilizers 140 0.2 S S S S S 45.7 0.1 S S S S S
23 Chemical products and preparations, nec 1,204 1.8 559 0.3 172 0.2 218 40.5 0.7 38.3 0.1 28.6 0.1 24.2
24 Plastics and rubber 1,425 2.2 428 0.3 196 0.3 269 27.3 0.6 41.4 0.1 26.7 0.1 20.9
25 Logs and other wood in the rough 39 0.1 76 - 31 - 403 28.1 0.1 26 0.1 32.1 - 22.5
26 Wood products 1,622 2.5 2,784 1.7 1,429 1.8 464 15.9 0.4 15.3 0.3 18.2 0.3 15.6
27 Pulp, newsprint, paper, and paperboard 1,583 2.4 1,567 1 1,126 1.5 580 28.1 0.8 29.4 0.3 29.4 0.7 13.4
28 Paper or paperboard articles 394 0.6 S S 81 0.1 773 46.5 0.3 S S 48.7 0.1 20.6
29 Printed products S S S S S S 882 S S S S S S 8.6
30 Textiles, leather, and articles of textiles or leather 517 0.8 55 - 47 0.1 670 28 0.2 24.3 - 30.1 - 21.1
31 Nonmetallic mineral products 1,086 1.7 6,326 3.8 797 1 200 18.6 0.3 30.2 1.1 23 0.4 31.1
32 Base metal in prim. or semifin. forms & in finished basic shapes 1,342 2 1,048 0.6 351 0.5 243 16.7 0.4 24.9 0.2 31.6 0.2 24.9
33 Articles of base metal 2,223 3.4 536 0.3 313 0.4 579 19.2 0.6 21.8 0.1 23.8 0.1 12.5
34 Machinery 2,862 4.4 399 0.2 195 0.3 350 14.3 0.6 22.7 - 18.3 0.1 24
35 Electronic & other electrical equip & components & office equip 6,751 10.3 155 0.1 117 0.2 1,156 22.5 2 27 - 28.4 0.1 12.4
36 Motorized and other vehicles (including parts) 5,238 8 434 0.3 341 0.4 428 20.5 1.7 16.2 0.1 20.5 0.1 23.8
37 Transportation equipment, nec 666 1 51 - 45 0.1 825 28.9 0.2 27.8 - 27.1 - 14.3
38 Precision instruments and apparatus 1,122 1.7 11 - 9 - 1,135 37.8 0.9 29.9 - 33.7 - 15.1
39 Furniture, mattresses & mattress supports, lamps, lighting 471 0.7 58 - 42 0.1 828 33.8 0.3 38.9 - 47.3 - 18.2
40 Miscellaneous manufactured products 2,012 3.1 287 0.2 230 0.3 869 9.3 0.4 12.1 - 15.6 0.1 6.1
41 Waste and scrap 83 0.1 364 0.2 S S 233 40.9 0.1 42.7 0.1 S S 22.5
43 Mixed freight 1,009 1.5 261 0.2 S S 598 27.6 0.4 36.2 0.1 S S 21.2
99 Commodity Unknown - - S S - - S 1.4 - S S 30.2 - 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.