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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 46,656 100 64,169 100 13,174 100 244 14.4 - 20 - 16.1 - 14.7
03 Other agricultural products S S S S - - S S S S S 34.6 - S
04 Animal feed and products of animal origin, nec 73 0.2 S S 7 0.1 139 26.6 0.6 S S 25.5 0.2 34
05 Meat, fish, seafood, and their preparations 337 0.7 137 0.2 S S 40 39.7 0.5 37.1 0.1 S S 30.8
06 Milled grain products and preparations and bakery products 282 0.6 244 0.4 166 1.3 670 22.9 0.2 24.6 0.1 36.5 0.6 20.7
07 Other prepared foodstuffs and fats and oils 745 1.6 1,215 1.9 111 0.8 S 24.4 0.7 26.4 0.7 39.9 1.3 S
08 Alcoholic beverages 253 0.5 160 0.2 5 - 39 31.4 0.7 38.5 0.4 31.8 0.1 21
09 Tobacco products 84 0.2 4 - - - 52 7.4 0.4 38.9 - 31.4 - 7.4
10 Calcareous monumental or building stone S S S S S S S S S S S S S S
11 Natural sands S S S S S S S S S S S S S S
12 Gravel and crushed stone S S S S S S 25 S S S S S S 21.8
13 Nonmetallic minerals nec S S S S S S 30 S S S S S S 10.1
14 Metallic ores and concentrates S S S S S S 244 S S S S S S 46.5
17 Gasoline and aviation turbine fuel S S 9,635 15 S S 72 S S 48.4 6 S S 32.7
18 Fuel oils S S S S S S S S S S S S S S
19 Coal and petroleum products, nec 2,857 6.1 4,749 7.4 1,985 15.1 S 29.2 1.9 37.7 4.7 44.3 7.6 S
20 Basic chemicals 306 0.7 S S S S S 38.6 0.3 S S S S S
21 Pharmaceutical products 236 0.5 S S 1 - S 32.7 0.4 S S 38.7 - S
22 Fertilizers 1,120 2.4 S S S S 421 45.9 3.5 S S S S 22.6
23 Chemical products and preparations, nec S S S S S S 383 S S S S S S 21.3
24 Plastics and rubber 860 1.8 302 0.5 157 1.2 345 24.2 0.8 23.3 0.3 28.1 0.4 21.7
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 493 1.1 940 1.5 119 0.9 80 32.1 0.7 34.5 1.9 40.6 1.6 13.5
27 Pulp, newsprint, paper, and paperboard S S S S S S S S S S S S S S
28 Paper or paperboard articles 761 1.6 423 0.7 353 2.7 892 37.5 0.9 31.8 0.7 37.6 4.1 21.8
29 Printed products S S 51 0.1 S S 624 S S 48.6 0.1 S S 16.1
30 Textiles, leather, and articles of textiles or leather 239 0.5 20 - 16 0.1 1,069 28.5 0.3 41.9 0.1 49.6 0.2 18
31 Nonmetallic mineral products 1,271 2.7 4,434 6.9 1,004 7.6 180 35.8 0.8 31.3 2 27.2 1.9 28
32 Base metal in prim. or semifin. forms & in finished basic shapes 3,321 7.1 2,521 3.9 628 4.8 139 17.9 2.3 26.3 4.9 36 3 17.7
33 Articles of base metal 3,189 6.8 2,045 3.2 630 4.8 295 12.9 1.4 18.6 2.2 18.8 1.5 16.1
34 Machinery 4,275 9.2 386 0.6 219 1.7 583 26.3 2.3 24.2 0.2 24.3 0.7 16.4
35 Electronic & other electrical equip & components & office equip 1,523 3.3 213 0.3 182 1.4 269 21 1.3 34.1 0.4 35.8 1 37.8
36 Motorized and other vehicles (including parts) 2,219 4.8 415 0.6 S S 326 45.5 1.9 48.2 0.2 S S 31.9
37 Transportation equipment, nec 872 1.9 9 - 6 - 834 24.3 0.6 32.8 - 37.2 - 14.2
38 Precision instruments and apparatus 568 1.2 12 - 6 - S 26.8 0.5 31.1 - 35.8 - S
39 Furniture, mattresses & mattress supports, lamps, lighting S S S S S S S S S S S S S S
40 Miscellaneous manufactured products 2,227 4.8 428 0.7 155 1.2 425 29.9 1.6 37 0.3 22.8 0.4 20.6
41 Waste and scrap 167 0.4 500 0.8 17 0.1 68 34.3 0.5 9.2 1.1 23.5 0.2 24.8
43 Mixed freight 756 1.6 146 0.2 S S 269 26.4 0.7 46.8 0.2 S S 26.1
99 Commodity Unknown 1 - S S S S 120 46.5 - S S S S 18.2

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.