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 201,444 100 44,494 100 10,914 100 817 24.9 - 12.8 - 17.3 - 6.4
02 Cereal grains S S S S S S S S S S S S S S
03 Other agricultural products S S S S S S S S S S S S S S
04 Animal feed and products of animal origin, nec 604 0.3 384 0.9 221 2 571 41.3 0.7 26.8 1.4 20.9 2.1 27.7
05 Meat, fish, seafood, and their preparations 56 - S S 2 - 65 39.3 0.1 S S 43.5 - 13.5
06 Milled grain products and preparations and bakery products 1,504 0.7 1,055 2.4 749 6.9 S 21.3 0.3 27.9 1 33.8 2.1 S
07 Other prepared foodstuffs and fats and oils 2,358 1.2 3,434 7.7 1,260 11.5 294 30.3 0.3 31.9 3.2 29.2 3.8 42.4
08 Alcoholic beverages 204 0.1 85 0.2 2 - 26 14.4 0.1 30.9 0.1 24.3 - 8.9
09 Tobacco products S S S S S S 595 S S S S S S 36
10 Calcareous monumental or building stone S S S S 1 - S S S S S 27.7 - S
11 Natural sands 7 - 956 2.1 17 0.2 18 20.9 - 26.1 0.7 23.6 0.1 11.2
12 Gravel and crushed stone 13 - 1,250 2.8 S S 22 25.3 - 23 0.8 S S 48.9
13 Nonmetallic minerals nec 10 - 16 - S S 1,992 8.8 - 32.2 - S S 43.2
14 Metallic ores and concentrates S S S S S S S S S S S S S S
17 Gasoline and aviation turbine fuel S S S S 134 1.2 110 S S S S 22.1 2.2 48.8
18 Fuel oils 611 0.3 956 2.1 176 1.6 S 29.3 0.3 25.3 0.8 38.8 1 S
19 Coal and petroleum products, nec 1,563 0.8 17,763 39.9 S S S 32.7 0.6 35.2 8.1 S S S
20 Basic chemicals 1,360 0.7 1,502 3.4 874 8 238 26.2 0.3 34.4 2.3 39.6 3.4 43
21 Pharmaceutical products 135,779 67.4 345 0.8 229 2.1 655 36.3 14.5 27.7 0.2 30.9 0.4 10.2
22 Fertilizers S S S S S S 364 S S S S S S 29.5
23 Chemical products and preparations, nec 1,116 0.6 514 1.2 218 2 610 22 0.3 25.8 0.3 23.3 0.8 21.3
24 Plastics and rubber 2,426 1.2 774 1.7 438 4 316 31 1.3 30.4 0.6 30.8 1.4 21.8
25 Logs and other wood in the rough S S S S S S S S S S S S S S
26 Wood products 432 0.2 748 1.7 89 0.8 91 15.8 0.1 41 0.7 18.9 0.3 41.1
27 Pulp, newsprint, paper, and paperboard 397 0.2 231 0.5 188 1.7 S 32.4 0.1 28.4 0.3 38.2 0.8 S
28 Paper or paperboard articles 272 0.1 135 0.3 32 0.3 744 38.8 0.2 36.5 0.1 35.5 0.1 24.5
29 Printed products 671 0.3 272 0.6 161 1.5 1,059 25.3 0.3 31.1 0.3 25.9 0.5 15.9
30 Textiles, leather, and articles of textiles or leather 2,015 1 151 0.3 126 1.2 975 36.7 0.5 30.1 0.1 31.4 0.5 6.9
31 Nonmetallic mineral products 1,351 0.7 5,137 11.5 646 5.9 1,086 32.8 0.5 26.9 3.9 39.8 3 22
32 Base metal in prim. or semifin. forms & in finished basic shapes 846 0.4 751 1.7 155 1.4 713 38 0.2 39.5 0.8 41 0.7 22.7
33 Articles of base metal 3,458 1.7 620 1.4 435 4 483 35.2 1.7 31 0.5 39.5 2.8 16.2
34 Machinery 5,183 2.6 568 1.3 221 2 548 24.3 1.1 37.5 0.6 29.7 0.7 20.5
35 Electronic & other electrical equip & components & office equip 14,309 7.1 288 0.6 306 2.8 830 45.9 4.3 28.1 0.2 47.3 1.5 5.7
36 Motorized and other vehicles (including parts) S S S S 65 0.6 1,185 S S S S 47.3 0.2 20.8
37 Transportation equipment, nec S S S S S S S S S S S S S S
38 Precision instruments and apparatus 9,577 4.8 S S 23 0.2 856 43.4 6.7 S S 46.7 0.2 5.4
39 Furniture, mattresses & mattress supports, lamps, lighting 1,086 0.5 S S S S 1,159 38.7 0.1 S S S S 17.2
40 Miscellaneous manufactured products 995 0.5 176 0.4 94 0.9 798 23.3 0.3 33.1 0.1 35.5 0.2 13.9
41 Waste and scrap 203 0.1 673 1.5 S S 460 44.5 0.2 40.8 0.9 S S 27.5
43 Mixed freight 7,730 3.8 1,622 3.6 302 2.8 505 25 2.6 21.5 1.2 20.2 0.9 16.7
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.