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.

Excel | CSV

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 65,134 100 31,099 100 7,399 100 474 6.5 - 10.9 - 8.6 - 9.5
02 Cereal grains S S S S S S S S S S S S S S
03 Other agricultural products 1,118 1.7 665 2.1 135 1.8 157 39 0.5 32.7 0.5 39 0.5 19.2
04 Animal feed and products of animal origin, nec S S S S S S S S S S S S S S
05 Meat, fish, seafood, and their preparations 1,593 2.4 566 1.8 310 4.2 343 28.8 1.1 24.8 0.9 25.1 2.1 21.1
06 Milled grain products and preparations and bakery products 1,548 2.4 480 1.5 340 4.6 303 23.8 0.6 31.9 0.9 37.5 2.3 36
07 Other prepared foodstuffs and fats and oils 3,156 4.8 3,425 11 1,074 14.5 S 17 0.8 27.3 2.5 27.3 3.3 S
08 Alcoholic beverages 517 0.8 395 1.3 13 0.2 30 18.9 0.2 23.1 0.6 34.6 0.1 6.9
09 Tobacco products 665 1 5 - 1 - 145 36.3 1.6 34.6 - 45.5 - 9.1
10 Calcareous monumental or building stone 5 - 370 1.2 6 0.1 85 24.5 - 46.6 1.3 46.4 0.1 37.8
11 Natural sands S S 1,568 5 179 2.4 52 S S 32.7 1.9 37 1 49
12 Gravel and crushed stone 1 - 75 0.2 S S S 38.7 - 37 0.3 S S S
13 Nonmetallic minerals nec S S S S S S S S S S S S S S
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 1,658 2.5 2,658 8.5 116 1.6 48 28.4 1.7 27.6 6.9 30.6 1.2 9.1
18 Fuel oils 317 0.5 532 1.7 29 0.4 53 13.6 0.3 12.2 1.1 33.7 0.3 26.7
19 Coal and petroleum products, nec S S 2,518 8.1 53 0.7 60 S S 36.5 2.4 35.9 0.2 49.1
20 Basic chemicals 650 1 679 2.2 90 1.2 186 29.4 0.3 35.8 0.7 36.9 0.4 23.7
21 Pharmaceutical products 1,169 1.8 87 0.3 S S S 45.3 0.7 47.4 0.1 S S S
22 Fertilizers 18 - 12 - - - S 45.3 - 34.7 - 32.6 - S
23 Chemical products and preparations, nec 573 0.9 193 0.6 56 0.8 S 32.3 0.3 41.2 0.2 40.8 0.4 S
24 Plastics and rubber 3,088 4.7 414 1.3 132 1.8 424 20.8 1.1 26.2 0.4 21.3 0.5 16.6
25 Logs and other wood in the rough S S S S S S 169 S S S S S S 31.4
26 Wood products 958 1.5 S S 233 3.1 264 21.1 0.3 S S 30.1 0.8 26.5
27 Pulp, newsprint, paper, and paperboard 358 0.5 300 1 95 1.3 S 26.1 0.2 27.2 0.4 49.8 1 S
28 Paper or paperboard articles 225 0.3 144 0.5 5 0.1 S 41.3 0.2 48.9 0.2 40.1 - S
29 Printed products 2,011 3.1 569 1.8 361 4.9 419 18.1 0.5 22.2 0.3 35.5 1.4 27.4
30 Textiles, leather, and articles of textiles or leather 1,448 2.2 85 0.3 41 0.6 856 23.7 0.7 21.9 0.1 27.2 0.2 12.9
31 Nonmetallic mineral products 512 0.8 S S 83 1.1 S 21.6 0.2 S S 44.6 0.7 S
32 Base metal in prim. or semifin. forms & in finished basic shapes 3,504 5.4 2,387 7.7 796 10.8 111 13.5 0.7 24 1.6 22 1.8 30.2
33 Articles of base metal 3,688 5.7 924 3 433 5.9 416 16.8 0.9 27 0.8 33.4 1.6 16.9
34 Machinery 6,261 9.6 656 2.1 329 4.4 568 14 0.9 19.1 0.7 20.2 0.8 13.6
35 Electronic & other electrical equip & components & office equip 1,525 2.3 65 0.2 37 0.5 296 14.2 0.4 18.4 - 23.9 0.2 21.5
36 Motorized and other vehicles (including parts) 8,990 13.8 1,613 5.2 500 6.8 537 20 2.2 31.9 1.6 13.3 1.1 17.9
37 Transportation equipment, nec S S S S S S 718 S S S S S S 26.2
38 Precision instruments and apparatus 749 1.1 7 - 3 - 894 40.6 0.5 32 - 34.6 - 21.6
39 Furniture, mattresses & mattress supports, lamps, lighting 6,610 10.1 906 2.9 813 11 932 15.1 1.4 13.7 0.5 16.1 1.9 6.5
40 Miscellaneous manufactured products 1,970 3 230 0.7 167 2.3 416 17.4 0.7 29.4 0.2 44.5 1.1 23.6
41 Waste and scrap S S S S S S S S S S S S S S
43 Mixed freight 8,624 13.2 3,025 9.7 781 10.6 173 30.2 3 19 2.6 14.2 1.5 18.5
99 Commodity Unknown S S S S S S 70 S S S S S S 40.5

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.