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 17,951 100 43,337 100 15,019 100 1,248 13.4 - 9.1 - 13.4 - 11.9
01 Live animals and live fish S S S S S S S S S S S S S S
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 39 0.2 166 0.4 67 0.4 S 12.9 0.9 44.6 2.6 42.8 2.1 S
05 Meat, fish, seafood, and their preparations S S S S S S S S S S S S S S
06 Milled grain products and preparations and bakery products 506 2.8 329 0.8 288 1.9 S 26.8 1.1 44.7 0.5 40.2 1.8 S
07 Other prepared foodstuffs and fats and oils 1,929 10.7 641 1.5 386 2.6 1,092 37.5 4.1 31 0.8 38.3 0.8 16.9
08 Alcoholic beverages 51 0.3 42 0.1 2 - 75 20.9 0.1 24.2 - 28.5 - 18.9
10 Calcareous monumental or building stone S S S S S S 509 S S S S S S 33.7
11 Natural sands 4 - S S 17 0.1 S 40.9 - S S 42.9 0.1 S
12 Gravel and crushed stone 16 0.1 1,255 2.9 80 0.5 S 37 0.1 47.6 3 45.4 0.5 S
13 Nonmetallic minerals nec 44 0.2 S S S S 724 43.5 0.1 S S S S 41.1
14 Metallic ores and concentrates 59 0.3 S S 4 - 1,247 31.3 0.5 S S 30.1 - 21.9
15 Nonagglomerated bituminous coal 705 3.9 25,703 59.3 9,335 62.2 S 20.4 1.4 22.1 9.7 28.3 9.7 S
17 Gasoline and aviation turbine fuel 276 1.5 343 0.8 19 0.1 42 49.7 0.7 46.8 0.3 49.1 0.1 29.9
18 Fuel oils 326 1.8 441 1 27 0.2 47 36.3 0.6 36.6 0.3 40.4 0.1 48.1
19 Coal and petroleum products, nec 266 1.5 483 1.1 S S S 37.4 0.6 48.5 0.9 S S S
20 Basic chemicals 282 1.6 68 0.2 S S 461 45.9 1.3 43.8 0.1 S S 37.9
21 Pharmaceutical products 314 1.7 30 0.1 33 0.2 1,294 34.9 1.1 46.8 0.1 39.4 0.3 20.8
22 Fertilizers 39 0.2 144 0.3 37 0.2 233 7.8 0.1 11.5 0.4 15.7 0.4 14.8
23 Chemical products and preparations, nec 138 0.8 S S S S 980 26.9 0.3 S S S S 28.9
24 Plastics and rubber 629 3.5 175 0.4 120 0.8 916 12 0.5 17.5 0.1 24.2 0.3 19.8
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 240 1.3 375 0.9 S S 563 30.8 0.4 31 0.3 S S 32.3
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 273 1.5 126 0.3 52 0.3 985 27.2 0.5 22.2 0.1 26.9 0.1 19.7
29 Printed products 348 1.9 67 0.2 50 0.3 1,638 24.1 0.3 17.5 - 34.9 0.2 16.9
30 Textiles, leather, and articles of textiles or leather 1,761 9.8 44 0.1 S S 1,700 41.2 3.2 40.3 - S S 14.3
31 Nonmetallic mineral products 763 4.2 8,118 18.7 S S 309 30.7 0.9 31.3 6.1 S S 44.7
32 Base metal in prim. or semifin. forms & in finished basic shapes 741 4.1 310 0.7 164 1.1 655 30.2 1.3 22 0.2 29.4 0.5 20.3
33 Articles of base metal 1,633 9.1 453 1 250 1.7 609 18 1.5 21.6 0.2 21.1 0.6 21.8
34 Machinery 686 3.8 S S S S 386 40.8 1.3 S S S S 30.3
35 Electronic & other electrical equip & components & office equip S S S S S S 929 S S S S S S 11.1
36 Motorized and other vehicles (including parts) 176 1 28 0.1 21 0.1 636 18.3 0.4 19.8 - 22.5 - 22.4
37 Transportation equipment, nec 263 1.5 1 - 1 - 1,533 43.4 1.6 45.3 - 46.6 - 9.9
38 Precision instruments and apparatus 291 1.6 S S S S 1,059 30.6 0.5 S S S S 12.4
39 Furniture, mattresses & mattress supports, lamps, lighting 225 1.3 25 0.1 13 0.1 579 16.7 0.3 32.1 - 19.1 - 25
40 Miscellaneous manufactured products 940 5.2 S S 276 1.8 1,500 25.1 1.1 S S 47.9 1.5 11
41 Waste and scrap S S S S S S S S S S S S S S
43 Mixed freight 665 3.7 231 0.5 156 1 253 29.6 0.9 37 0.2 29 0.3 48.8
99 Commodity Unknown S S - - S S S S S 46.3 - 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.