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 50,804 100 85,701 100 25,047 100 731 9.4 - 14.5 - 14.2 - 16.3
02 Cereal grains S S S S S S S S S S S S S S
03 Other agricultural products 4,576 9 2,624 3.1 3,576 14.3 S 27.4 2 27.6 0.9 29.6 4 S
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 654 1.3 192 0.2 79 0.3 478 32.7 0.6 37.3 0.1 44.2 0.2 38.6
06 Milled grain products and preparations and bakery products 401 0.8 212 0.2 225 0.9 S 36.8 0.5 22.3 0.1 36.3 0.3 S
07 Other prepared foodstuffs and fats and oils 3,786 7.5 2,946 3.4 2,398 9.6 844 15.4 1.1 18.1 1.1 31.4 3.2 27.1
08 Alcoholic beverages 794 1.6 504 0.6 79 0.3 S 26.9 0.5 29.1 0.2 38.6 0.1 S
09 Tobacco products S S S S S S 65 S S S S S S 12.3
10 Calcareous monumental or building stone 51 0.1 S S S S S 25.7 0.1 S S S S S
11 Natural sands 17 - S S S S 33 43.8 - S S S S 18
12 Gravel and crushed stone 265 0.5 32,949 38.4 793 3.2 24 18.3 0.1 19.7 4.4 15.4 0.8 42
13 Nonmetallic minerals nec 39 0.1 1,115 1.3 291 1.2 S 28 - 36 0.7 41.8 0.7 S
14 Metallic ores and concentrates S S S S S S 2,008 S S S S S S 24.3
17 Gasoline and aviation turbine fuel 495 1 625 0.7 36 0.1 42 40.6 0.4 41.2 0.2 40.4 - 12.9
18 Fuel oils S S S S 64 0.3 29 S S S S 40.6 0.1 9.7
19 Coal and petroleum products, nec 822 1.6 4,205 4.9 154 0.6 35 29.8 0.5 47.9 1.5 44.1 0.2 16.5
20 Basic chemicals 263 0.5 239 0.3 59 0.2 1,590 31.4 0.2 38.3 0.1 26.9 - 19.8
21 Pharmaceutical products S S S S S S S S S S S S S S
22 Fertilizers 130 0.3 299 0.3 20 0.1 S 48 0.2 48.4 0.5 48.9 0.1 S
23 Chemical products and preparations, nec S S 773 0.9 413 1.6 476 S S 28 0.3 45.1 0.8 27.4
24 Plastics and rubber 1,532 3 646 0.8 347 1.4 494 26.9 1 37.1 0.4 40.7 0.4 35.5
25 Logs and other wood in the rough 4 - S S 10 - 53 23.7 - S S 47.9 0.1 49.2
26 Wood products 7,475 14.7 16,942 19.8 12,586 50.3 338 12.6 1.3 19.2 1.8 29.3 6.4 23.9
27 Pulp, newsprint, paper, and paperboard 1,217 2.4 2,508 2.9 1,773 7.1 334 28.7 1.1 27.3 1.8 28.9 4 20.6
28 Paper or paperboard articles 477 0.9 240 0.3 139 0.6 418 37.6 0.4 26.1 0.1 35.6 0.2 33
29 Printed products S S 78 0.1 46 0.2 749 S S 21.1 - 31.5 0.1 26.2
30 Textiles, leather, and articles of textiles or leather S S S S 4 - 1,368 S S S S 35.3 - 16.6
31 Nonmetallic mineral products 1,152 2.3 6,349 7.4 323 1.3 374 28.6 0.5 26.4 1.6 21 0.3 20.1
32 Base metal in prim. or semifin. forms & in finished basic shapes 1,363 2.7 440 0.5 124 0.5 S 18.7 0.4 24.6 0.2 37.5 0.1 S
33 Articles of base metal 931 1.8 212 0.2 98 0.4 940 15.5 0.3 17.3 0.1 21.8 0.1 23.4
34 Machinery 1,581 3.1 171 0.2 100 0.4 698 21.6 0.5 49 0.1 30.4 0.1 23.8
35 Electronic & other electrical equip & components & office equip 4,214 8.3 146 0.2 37 0.1 S 24.7 1.8 47.5 0.1 48 0.1 S
36 Motorized and other vehicles (including parts) 2,847 5.6 369 0.4 299 1.2 395 27.9 2 23.5 0.2 37.3 0.8 26.1
37 Transportation equipment, nec S S 8 - 21 0.1 2,020 S S 15.5 - 22.7 0.1 19.7
38 Precision instruments and apparatus 1,203 2.4 27 - 66 0.3 2,078 28.3 0.6 47.8 - 48.1 0.1 4.2
39 Furniture, mattresses & mattress supports, lamps, lighting 587 1.2 103 0.1 68 0.3 790 24.8 0.3 26.1 - 29.6 0.2 30.4
40 Miscellaneous manufactured products 2,816 5.5 340 0.4 178 0.7 2,096 15.3 0.9 40.3 0.1 15.1 0.2 9.8
41 Waste and scrap S S S S S S S S S S S S S S
43 Mixed freight 4,237 8.3 1,267 1.5 370 1.5 843 20.2 2 27.2 0.5 27.5 0.4 22.3
99 Commodity Unknown S S S S S S 1,339 S S S S S S 47.8

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.