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 57,294 100 26,878 100 7,154 100 441 8.8 - 14.8 - 14.2 - 10.3
02 Cereal grains S S S S S S S S S S S S S S
03 Other agricultural products S S S S S S 671 S S S S S S 27.4
04 Animal feed and products of animal origin, nec 161 0.3 427 1.6 S S 269 17.1 0.2 48 1 S S 46.8
05 Meat, fish, seafood, and their preparations 692 1.2 273 1 55 0.8 S 25.5 0.4 30.6 0.3 30.5 0.4 S
06 Milled grain products and preparations and bakery products 1,323 2.3 S S S S S 36.6 0.7 S S S S S
07 Other prepared foodstuffs and fats and oils 2,128 3.7 1,232 4.6 436 6.1 117 11 0.5 12.4 1.1 15 1.3 17.3
08 Alcoholic beverages 231 0.4 231 0.9 5 0.1 23 22.2 0.6 23.8 1.5 25.1 0.1 13.3
09 Tobacco products 1,090 1.9 S S S S 751 48.8 0.8 S S S S 22.3
10 Calcareous monumental or building stone S S S S S S S S S S S S S S
11 Natural sands 8 - 714 2.7 26 0.4 S 45.8 - 42.6 1.5 43.4 0.2 S
12 Gravel and crushed stone 16 - 1,550 5.8 S S 34 37.9 - 43.7 5.7 S S 17.1
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 571 S S S S S S 26.5
17 Gasoline and aviation turbine fuel S S 255 0.9 S S 22 S S 39.9 2.1 S S 34.4
18 Fuel oils 190 0.3 301 1.1 5 0.1 12 13.1 0.6 23.3 1.4 31.2 0.1 30.2
19 Coal and petroleum products, nec 900 1.6 1,606 6 237 3.3 S 39.4 0.6 37.2 2.1 25.2 0.9 S
20 Basic chemicals 1,936 3.4 5,764 21.4 2,244 31.4 S 22.3 0.8 32.6 5.8 31.6 6.6 S
21 Pharmaceutical products 7,652 13.4 119 0.4 S S 389 32.4 4.2 37.6 0.4 S S 45
22 Fertilizers S S S S S S S S S S S S S S
23 Chemical products and preparations, nec 771 1.3 S S S S 716 23.9 0.3 S S S S 15
24 Plastics and rubber 3,825 6.7 1,038 3.9 205 2.9 304 26.4 1.6 26.3 1.5 28.8 1 39.9
25 Logs and other wood in the rough S S 9 - S S 63 S S 47.2 0.2 S S 13.7
26 Wood products 642 1.1 1,108 4.1 204 2.9 S 20.8 0.2 21.3 0.8 26.3 0.8 S
27 Pulp, newsprint, paper, and paperboard 832 1.5 751 2.8 342 4.8 356 24.7 0.5 29 1.2 29.1 1.8 23.3
28 Paper or paperboard articles 449 0.8 197 0.7 57 0.8 432 20.7 0.2 15.6 0.3 39.8 0.2 19.3
29 Printed products 1,406 2.5 296 1.1 211 2.9 394 25 0.6 24.3 0.3 30.6 0.9 40.5
30 Textiles, leather, and articles of textiles or leather 2,291 4 107 0.4 83 1.2 886 43.4 1.5 36.9 0.1 37 0.6 14.1
31 Nonmetallic mineral products 764 1.3 S S 118 1.7 S 19.7 0.2 S S 24.7 0.3 S
32 Base metal in prim. or semifin. forms & in finished basic shapes 6,520 11.4 3,317 12.3 816 11.4 277 35 2.6 26.1 3.3 24.8 2.1 40.6
33 Articles of base metal 2,020 3.5 S S 91 1.3 524 40.7 0.9 S S 31.3 0.6 23.8
34 Machinery 5,175 9 349 1.3 201 2.8 658 18.4 1.9 25.1 0.4 29.3 0.9 12.4
35 Electronic & other electrical equip & components & office equip 2,857 5 88 0.3 S S 742 37.7 2 40.3 0.2 S S 23.5
36 Motorized and other vehicles (including parts) 2,525 4.4 S S S S 110 43.4 1.9 S S S S 50
37 Transportation equipment, nec 130 0.2 S S S S 1,014 39.9 0.2 S S S S 15.3
38 Precision instruments and apparatus 708 1.2 9 - 7 0.1 1,000 29.9 0.4 33.8 - 40.7 - 11.3
39 Furniture, mattresses & mattress supports, lamps, lighting 270 0.5 S S 12 0.2 S 30 0.2 S S 33 0.1 S
40 Miscellaneous manufactured products 3,166 5.5 90 0.3 41 0.6 777 23.1 1.2 29.4 0.2 22.5 0.2 10.8
41 Waste and scrap 8 - 9 - 3 - 383 1.3 0.1 19.6 0.2 31.4 0.2 0.9
43 Mixed freight 5,098 8.9 1,415 5.3 243 3.4 S 31.4 3 30.3 2.3 36.3 1.4 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.