Table 6. Shipment Characteristics by Two-Digit Commodity for Metropolitan Area of Origin: 2007

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 118,640 100 116,908 100 27,186 100 529 6.6 - 6.3 - 6.3 - 9.7
02 Cereal grains 439 0.4 3,128 2.7 S S 62 42.1 0.3 40.3 2 S S 33.8
03 Other agricultural products 1,311 1.1 1,797 1.5 582 2.1 S 30.6 0.4 31.5 0.5 37.3 0.8 S
04 Animal feed and products of animal origin, nec 1,360 1.1 5,010 4.3 434 1.6 S 28.7 0.4 36.6 1.5 28.2 0.4 S
05 Meat, fish, seafood, and their preparations 7,491 6.3 3,854 3.3 2,062 7.6 275 21.2 1.5 22.2 0.7 24.2 1.9 27.7
06 Milled grain products and preparations and bakery products S S S S S S 286 S S S S S S 31
07 Other prepared foodstuffs and fats and oils 3,738 3.2 3,884 3.3 1,106 4.1 S 21.2 0.7 21.5 0.7 20.8 0.8 S
08 Alcoholic beverages 865 0.7 558 0.5 22 0.1 36 17.8 0.2 15.9 0.1 19.7 - 6
09 Tobacco products 676 0.6 38 - 17 0.1 S 18.8 0.1 15.2 - 16.3 - S
10 Calcareous monumental or building stone S S S S S S S S S S S S S S
11 Natural sands 151 0.1 S S S S S 40.8 0.1 S S S S S
12 Gravel and crushed stone 309 0.3 26,755 22.9 1,175 4.3 38 25.3 0.1 25 5.4 31.8 1.4 18.4
13 Nonmetallic minerals nec 55 - 644 0.6 319 1.2 478 26.3 - 34.3 0.3 38.9 0.5 15.4
17 Gasoline and aviation turbine fuel S S S S S S 77 S S S S S S 26.7
18 Fuel oils 1,678 1.4 2,671 2.3 308 1.1 S 34.7 0.4 30.5 0.6 45.3 0.5 S
19 Coal and petroleum products, nec 753 0.6 1,660 1.4 101 0.4 27 22.6 0.2 28 0.5 32.8 0.1 26.6
20 Basic chemicals 2,556 2.2 3,366 2.9 1,567 5.8 S 27.6 0.6 39.6 1 45 2.5 S
21 Pharmaceutical products 12,054 10.2 984 0.8 834 3.1 1,034 41.1 2.9 37.9 0.4 40 1.5 4.5
22 Fertilizers 682 0.6 2,269 1.9 1,467 5.4 S 46.3 0.4 44.4 1.6 47.8 4.3 S
23 Chemical products and preparations, nec 3,290 2.8 1,038 0.9 479 1.8 821 41.7 1 41.9 0.3 39.6 0.6 23.4
24 Plastics and rubber 6,510 5.5 2,288 2 1,389 5.1 365 11.1 0.5 12.9 0.3 23.5 0.9 15.5
25 Logs and other wood in the rough S S S S S S 241 S S S S S S 28.9
26 Wood products 3,998 3.4 10,819 9.3 2,490 9.2 193 14 0.7 23 2.4 16.5 1.5 18.7
27 Pulp, newsprint, paper, and paperboard 3,125 2.6 4,372 3.7 2,628 9.7 568 32.1 1.1 28.6 1.1 32.7 3.2 14.9
28 Paper or paperboard articles 1,168 1 634 0.5 352 1.3 S 23 0.2 25.7 0.1 31.3 0.4 S
29 Printed products 565 0.5 103 0.1 39 0.1 732 24.7 0.1 22.5 - 27.8 - 18.8
30 Textiles, leather, and articles of textiles or leather 8,590 7.2 1,330 1.1 764 2.8 973 13.6 1.1 13.2 0.1 15.2 0.5 7.7
31 Nonmetallic mineral products 2,602 2.2 11,312 9.7 1,766 6.5 647 25.9 0.5 30.9 2.7 22.4 1.2 20.6
32 Base metal in prim. or semifin. forms & in finished basic shapes 2,146 1.8 2,429 2.1 1,631 6 219 33.4 0.5 39.8 0.9 38.9 2 43.5
33 Articles of base metal 2,369 2 771 0.7 286 1.1 369 21.8 0.5 26 0.2 29.7 0.3 19.8
34 Machinery 6,428 5.4 651 0.6 437 1.6 378 16.8 1 25.2 0.1 32.6 0.6 24.5
35 Electronic & other electrical equip & components & office equip 5,227 4.4 556 0.5 463 1.7 578 17.3 0.8 20.4 0.1 26 0.6 20.2
36 Motorized and other vehicles (including parts) 5,712 4.8 867 0.7 381 1.4 438 24.7 1 25.8 0.2 30.4 0.3 17.7
37 Transportation equipment, nec 1,030 0.9 16 - 9 - 1,095 19.6 0.2 29.3 - 28 - 8.8
38 Precision instruments and apparatus 824 0.7 S S S S 582 32.2 0.4 S S S S 25.7
39 Furniture, mattresses & mattress supports, lamps, lighting 4,972 4.2 651 0.6 415 1.5 782 13.4 0.7 13.2 0.1 15.7 0.3 2.4
40 Miscellaneous manufactured products 3,793 3.2 752 0.6 282 1 955 24.6 0.6 20 0.1 21.4 0.2 11.2
41 Waste and scrap S S S S S S S S S S S S S S
43 Mixed freight 15,317 12.9 4,751 4.1 922 3.4 337 17.4 2.3 23.8 0.9 23.2 0.9 17.1
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.