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 90,960 100 172,230 100 25,321 100 473 7.2 - 15.9 - 11.5 - 15
01 Live animals and live fish S S S S S S 1,623 S S S S S S 12.9
02 Cereal grains S S S S S S 30 S S S S S S 15.2
03 Other agricultural products 1,104 1.2 1,088 0.6 652 2.6 S 39.2 0.5 42.7 0.3 47.3 1.2 S
04 Animal feed and products of animal origin, nec S S 1,281 0.7 284 1.1 S S S 48.7 0.5 46.2 0.6 S
05 Meat, fish, seafood, and their preparations 3,128 3.4 1,271 0.7 269 1.1 S 26.3 1.1 29.1 0.5 22.3 0.3 S
06 Milled grain products and preparations and bakery products S S 189 0.1 S S S S S 43.3 - S S S
07 Other prepared foodstuffs and fats and oils 5,941 6.5 8,091 4.7 4,774 18.9 170 19.2 0.9 23.8 2.3 39.5 5 35.6
08 Alcoholic beverages 1,412 1.6 980 0.6 S S 33 15.5 0.2 17.6 0.2 S S 17
09 Tobacco products 92 0.1 1 - - - 106 15.6 0.1 14.2 - 20.9 - 6.7
10 Calcareous monumental or building stone 62 0.1 128 0.1 3 - 23 33.9 0.2 7.8 0.5 15.9 0.1 25.8
11 Natural sands 376 0.4 13,703 8 547 2.2 35 31 0.2 34.4 3.7 33.6 1.4 30.4
12 Gravel and crushed stone 941 1 52,505 30.5 2,160 8.5 41 38.1 0.5 38.1 8.1 40.2 3.1 47.1
13 Nonmetallic minerals nec 623 0.7 13,326 7.7 488 1.9 S 29 0.3 39.5 3 32.4 1.2 S
14 Metallic ores and concentrates S S 298 0.2 S S S S S 46.2 0.4 S S S
17 Gasoline and aviation turbine fuel 2,071 2.3 2,961 1.7 117 0.5 32 43.2 2.3 43.3 2.6 44.9 0.5 43.1
18 Fuel oils 889 1 S S 39 0.2 S 48.4 0.9 S S 47 0.1 S
19 Coal and petroleum products, nec 503 0.6 S S S S 37 38.7 0.2 S S S S 18
20 Basic chemicals 1,401 1.5 4,788 2.8 859 3.4 77 25.5 0.4 22.1 0.8 29.5 1.1 41.1
21 Pharmaceutical products S S S S 9 - 851 S S S S 42.4 0.1 34.4
22 Fertilizers 3,032 3.3 9,186 5.3 4,234 16.7 197 32.4 1.2 37.9 3 45.3 5.9 22.7
23 Chemical products and preparations, nec 1,591 1.7 553 0.3 185 0.7 186 32.3 0.6 20.8 0.1 35.5 0.3 21.6
24 Plastics and rubber 2,778 3.1 939 0.5 464 1.8 317 11.9 0.5 19.2 0.2 21.7 0.7 23
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 2,563 2.8 6,089 3.5 1,115 4.4 79 17.1 0.4 17.7 1.3 23.4 1.2 18.6
27 Pulp, newsprint, paper, and paperboard 2,318 2.5 3,303 1.9 2,181 8.6 438 31.7 0.9 29.3 0.4 33.5 3.4 19.4
28 Paper or paperboard articles S S S S S S 169 S S S S S S 18.3
29 Printed products 680 0.7 S S S S 434 37.5 0.3 S S S S 24.4
30 Textiles, leather, and articles of textiles or leather 6,243 6.9 185 0.1 92 0.4 731 33.9 2.5 23 - 23.9 0.1 15.4
31 Nonmetallic mineral products 2,674 2.9 32,284 18.7 718 2.8 210 19.5 0.7 26.8 5.4 28.4 1.1 33.9
32 Base metal in prim. or semifin. forms & in finished basic shapes 1,575 1.7 509 0.3 86 0.3 107 28.7 0.4 26.1 0.1 39.1 0.1 41.7
33 Articles of base metal 2,676 2.9 779 0.5 505 2 324 23.3 0.8 24.7 0.1 45.2 1 13.8
34 Machinery 2,894 3.2 313 0.2 75 0.3 375 13.6 0.3 20.4 0.1 31.7 0.2 26.3
35 Electronic & other electrical equip & components & office equip 7,119 7.8 137 0.1 33 0.1 351 21.9 1.7 45.1 - 23.7 - 38.7
36 Motorized and other vehicles (including parts) 2,085 2.3 S S 117 0.5 S 21.9 0.5 S S 35.5 0.2 S
37 Transportation equipment, nec 2,414 2.7 48 - 56 0.2 1,250 13.5 0.5 26.2 - 29.4 0.1 9.3
38 Precision instruments and apparatus 7,745 8.5 72 - 58 0.2 1,197 22.6 2 37.1 - 25 0.1 14.3
39 Furniture, mattresses & mattress supports, lamps, lighting 1,861 2 295 0.2 S S 744 26.8 0.6 41.7 0.1 S S 18.1
40 Miscellaneous manufactured products 2,326 2.6 S S 756 3 834 11.6 0.4 S S 35.9 1.6 17.1
41 Waste and scrap 384 0.4 1,079 0.6 492 1.9 330 26.8 0.1 33.5 0.2 37.5 0.8 29.6
43 Mixed freight 7,110 7.8 2,542 1.5 659 2.6 S 9.9 1 8.8 0.3 21.9 0.8 S
99 Commodity Unknown 7 - S S S S S 22.3 - 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.