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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.

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 96,545 100 130,040 100 31,230 100 502 8.8 - 13 - 15.1 - 13.8
01 Live animals and live fish 1,086 1.1 563 0.4 S S 797 43.1 0.9 46 0.4 S S 31.3
02 Cereal grains 6,967 7.2 42,842 32.9 11,105 35.6 104 28.5 1.3 31.6 4.6 36.1 6.5 34
03 Other agricultural products 858 0.9 3,322 2.6 364 1.2 108 19.4 0.2 19.8 0.6 23.4 0.3 41
04 Animal feed and products of animal origin, nec 2,324 2.4 7,132 5.5 2,162 6.9 215 19.6 0.6 26.9 1.6 22.7 1.3 25.1
05 Meat, fish, seafood, and their preparations 10,886 11.3 3,118 2.4 2,576 8.2 639 14.7 2.1 13.7 0.5 15.6 1.7 16
06 Milled grain products and preparations and bakery products 1,249 1.3 1,456 1.1 S S 410 36.1 0.3 44.6 0.3 S S 23.9
07 Other prepared foodstuffs and fats and oils 2,921 3 3,946 3 1,822 5.8 114 15.3 0.4 19.1 0.6 23.6 1.4 49.9
08 Alcoholic beverages 903 0.9 711 0.5 149 0.5 105 25.8 0.2 28.5 0.2 46.9 0.1 49.3
09 Tobacco products 317 0.3 5 - 1 - 65 25.1 0.2 21.3 - 31.4 - 29.8
10 Calcareous monumental or building stone 3 - S S S S S 46.5 - S S S S S
11 Natural sands 27 - S S S S S 46.5 - S S S S S
12 Gravel and crushed stone 73 0.1 9,580 7.4 620 2 66 37 - 30 2 26.9 0.8 26.2
13 Nonmetallic minerals nec S S 6,658 5.1 2,338 7.5 288 S S 28.1 2 37.2 3 16.6
17 Gasoline and aviation turbine fuel 7,514 7.8 11,265 8.7 556 1.8 27 23.7 1.7 22.5 2.6 25.4 0.8 29.4
18 Fuel oils 6,071 6.3 9,605 7.4 511 1.6 27 22.3 1.1 21.7 1.3 24.5 0.6 38.3
19 Coal and petroleum products, nec 3,452 3.6 4,351 3.3 923 3 290 36.1 0.9 42.2 0.9 38.5 1.1 32
20 Basic chemicals 2,775 2.9 3,615 2.8 1,366 4.4 452 45.9 0.9 29.8 0.7 29.1 1.1 26.4
21 Pharmaceutical products 902 0.9 16 - 4 - S 40.7 0.5 34 - 43.8 - S
22 Fertilizers 575 0.6 1,762 1.4 302 1 110 32.5 0.2 24.1 0.4 24.8 0.2 19.3
23 Chemical products and preparations, nec 1,705 1.8 658 0.5 S S 303 37.5 0.6 40 0.1 S S 32.1
24 Plastics and rubber 3,207 3.3 926 0.7 514 1.6 390 23.1 0.9 30.2 0.2 29.9 0.5 24.2
25 Logs and other wood in the rough 3 - 3 - S S 151 29.8 - 42.6 - S S 19
26 Wood products 552 0.6 557 0.4 126 0.4 281 15.8 0.1 17.1 0.1 21.6 0.2 34.9
27 Pulp, newsprint, paper, and paperboard 207 0.2 182 0.1 114 0.4 S 42.4 0.1 31.6 0.1 24.2 0.2 S
28 Paper or paperboard articles 1,060 1.1 479 0.4 S S S 46.9 0.6 48.1 0.2 S S S
29 Printed products 2,513 2.6 226 0.2 117 0.4 789 17.9 0.6 16 - 17.4 0.1 13.1
30 Textiles, leather, and articles of textiles or leather 636 0.7 21 - 18 0.1 1,079 45.9 0.4 33.7 - 42.7 - 7.1
31 Nonmetallic mineral products 1,125 1.2 7,839 6 1,593 5.1 238 18.3 0.3 19.1 1.4 22.2 1.7 17.1
32 Base metal in prim. or semifin. forms & in finished basic shapes 1,656 1.7 381 0.3 248 0.8 564 29.8 0.7 23 0.1 28.3 0.3 15.2
33 Articles of base metal 2,090 2.2 712 0.5 347 1.1 659 13.8 0.4 41.1 0.3 20.9 0.2 12.2
34 Machinery 5,966 6.2 581 0.4 396 1.3 460 15.1 0.9 13.7 0.1 20.6 0.4 18.2
35 Electronic & other electrical equip & components & office equip 3,409 3.5 500 0.4 417 1.3 547 16.7 0.5 21.8 0.1 23.2 0.4 23.2
36 Motorized and other vehicles (including parts) 3,303 3.4 662 0.5 260 0.8 369 17.6 0.6 26.6 0.1 21.4 0.2 22.3
37 Transportation equipment, nec 13,359 13.8 S S 136 0.4 919 34.3 3.3 S S 49.2 0.2 16.6
38 Precision instruments and apparatus S S 2 - 1 - 544 S S 28.6 - 30.8 - 19.7
39 Furniture, mattresses & mattress supports, lamps, lighting 453 0.5 91 0.1 85 0.3 1,029 25.7 0.1 34.6 - 41.1 0.1 19
40 Miscellaneous manufactured products 1,133 1.2 238 0.2 116 0.4 805 29.3 0.5 17 - 19.3 0.1 14.8
41 Waste and scrap 358 0.4 S S 269 0.9 241 34.1 0.2 S S 31.1 0.8 46.8
43 Mixed freight 4,389 4.5 1,715 1.3 264 0.8 S 25.1 1.2 40.4 0.9 32 0.4 S
99 Commodity Unknown S S S S S S S S S 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.