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 93,147 100 57,354 100 9,474 100 328 6.1 - 10.4 - 5.1 - 9.4
02 Cereal grains S S S S S S S S S S S S S S
03 Other agricultural products 397 0.4 260 0.5 74 0.8 365 32.1 0.1 22.4 0.2 17.9 0.2 34.1
04 Animal feed and products of animal origin, nec 366 0.4 1,622 2.8 136 1.4 84 25.4 0.1 28 1.5 47.5 1.1 39.7
05 Meat, fish, seafood, and their preparations 559 0.6 285 0.5 103 1.1 191 14.6 0.1 20.3 0.1 27.6 0.3 45
06 Milled grain products and preparations and bakery products 1,363 1.5 748 1.3 S S S 31.5 0.7 39.1 0.8 S S S
07 Other prepared foodstuffs and fats and oils 2,628 2.8 3,464 6 781 8.2 259 14 0.6 26.2 1.7 30.7 2.6 31.3
08 Alcoholic beverages 421 0.5 181 0.3 8 0.1 32 24.4 0.1 22.6 0.1 28.3 - 14.1
09 Tobacco products 12,853 13.8 161 0.3 8 0.1 S 32.3 7.4 31.5 0.3 18.2 0.1 S
10 Calcareous monumental or building stone S S S S S S S S S S S S S S
11 Natural sands 6 - 325 0.6 23 0.2 43 28.9 - 28.3 0.3 37.2 0.2 37.7
12 Gravel and crushed stone 244 0.3 15,937 27.8 529 5.6 S 23.8 0.1 28.2 5.7 19.2 1.1 S
13 Nonmetallic minerals nec 37 - 170 0.3 19 0.2 S 29.4 - 49.9 0.1 33.2 0.1 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 1,398 1.5 1,902 3.3 156 1.6 S 28.1 0.9 29 2.9 26.7 1.4 S
18 Fuel oils 324 0.3 518 0.9 84 0.9 S 39.4 0.3 40.6 0.5 41.8 0.8 S
19 Coal and petroleum products, nec 600 0.6 S S 44 0.5 S 32.7 0.2 S S 48.6 0.2 S
20 Basic chemicals 2,328 2.5 1,627 2.8 254 2.7 S 39.3 0.9 36.8 0.9 37.4 1.3 S
21 Pharmaceutical products S S S S S S S S S S S S S S
22 Fertilizers S S S S S S 58 S S S S S S 26.4
23 Chemical products and preparations, nec 2,046 2.2 607 1.1 271 2.9 213 25 0.5 32.8 0.4 39.3 1.1 28.3
24 Plastics and rubber 6,550 7 2,347 4.1 1,064 11.2 397 19.6 1.1 18 0.9 22.8 2.3 17.5
25 Logs and other wood in the rough 90 0.1 S S S S S 43.4 0.1 S S S S S
26 Wood products 1,566 1.7 2,288 4 369 3.9 245 22.1 0.3 27.5 0.9 20.8 0.7 20.6
27 Pulp, newsprint, paper, and paperboard 1,459 1.6 S S S S 242 27.9 0.5 S S S S 18.7
28 Paper or paperboard articles 845 0.9 559 1 144 1.5 152 29.6 0.3 25.7 0.3 37.1 0.6 25.6
29 Printed products 890 1 188 0.3 53 0.6 519 27.1 0.2 25.9 0.1 29.9 0.2 15.6
30 Textiles, leather, and articles of textiles or leather 9,546 10.2 1,254 2.2 739 7.8 814 10.2 0.9 15.1 0.5 32 2.4 13
31 Nonmetallic mineral products 1,627 1.7 7,117 12.4 843 8.9 S 15.8 0.3 22.4 2.7 18.2 1.3 S
32 Base metal in prim. or semifin. forms & in finished basic shapes 3,359 3.6 1,485 2.6 344 3.6 187 12.8 0.5 22.6 1.1 20.6 0.8 24
33 Articles of base metal 3,196 3.4 1,240 2.2 397 4.2 306 20.7 0.6 28.4 0.5 21.6 0.8 9.4
34 Machinery 7,333 7.9 812 1.4 251 2.6 436 12.4 1 21.8 0.4 35 0.8 13.8
35 Electronic & other electrical equip & components & office equip 6,051 6.5 517 0.9 210 2.2 319 15.5 0.8 31.6 0.2 22.1 0.5 25.9
36 Motorized and other vehicles (including parts) 7,684 8.2 1,061 1.9 558 5.9 302 30.1 2.3 26.2 0.4 34.8 1.7 28.1
37 Transportation equipment, nec 239 0.3 S S 2 - 793 48.1 0.1 S S 38.7 - 30.9
38 Precision instruments and apparatus 507 0.5 6 - S S 737 30.4 0.2 30.4 - S S 23.2
39 Furniture, mattresses & mattress supports, lamps, lighting 1,127 1.2 171 0.3 80 0.8 583 30.8 0.4 32.2 0.1 34.3 0.4 26.4
40 Miscellaneous manufactured products 4,410 4.7 454 0.8 98 1 317 42.4 2.7 28.7 0.3 31.1 0.4 31.4
41 Waste and scrap S S S S S S 221 S S S S S S 29.9
43 Mixed freight 8,399 9 3,036 5.3 377 4 291 10.6 1.1 13.7 0.9 10.8 0.4 9.1
99 Commodity Unknown 5 - S S S S S 45.5 - 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.