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 30,337 100 22,762 100 5,281 100 832 13.9 - 12.9 - 12.6 - 10.9
01 Live animals and live fish S S S S S S S S S S S S S S
02 Cereal grains S S S S S S S S S S S S S S
03 Other agricultural products 104 0.3 138 0.6 88 1.7 S 30.6 0.2 37.8 0.4 42 0.7 S
04 Animal feed and products of animal origin, nec S S 1,019 4.5 849 16.1 703 S S 17.5 1.1 17.3 4.3 19.7
05 Meat, fish, seafood, and their preparations 403 1.3 74 0.3 S S S 23.3 0.6 24.8 0.1 S S S
06 Milled grain products and preparations and bakery products 225 0.7 92 0.4 44 0.8 S 21.5 0.4 12.9 0.1 40 0.7 S
07 Other prepared foodstuffs and fats and oils 878 2.9 545 2.4 269 5.1 438 26.3 0.9 24.3 0.7 41.5 1.8 27.3
08 Alcoholic beverages 301 1 244 1.1 7 0.1 44 19.5 0.2 26.2 0.4 30.3 0.1 15.1
09 Tobacco products 34 0.1 - - - - 20 30.1 0.1 35.8 - 49.5 - 34.9
10 Calcareous monumental or building stone S S S S S S 7 S S S S S S 24.4
11 Natural sands 4 - 613 2.7 8 0.2 14 29.8 - 23.8 0.8 39.8 - 29.2
12 Gravel and crushed stone S S 5,052 22.2 86 1.6 23 S S 45 7.4 38.3 0.9 32.6
13 Nonmetallic minerals nec 96 0.3 1,435 6.3 1,150 21.8 741 24.5 0.2 23.6 2.4 24.4 4.7 20.8
14 Metallic ores and concentrates S S 929 4.1 163 3.1 192 S S 35.7 3.5 35.7 2.9 26.8
17 Gasoline and aviation turbine fuel 311 1 394 1.7 S S 63 35.8 0.3 36.2 0.9 S S 17.2
18 Fuel oils 307 1 462 2 62 1.2 40 33 0.3 32.8 0.8 42.3 0.4 39.1
19 Coal and petroleum products, nec 235 0.8 446 2 S S S 33.3 0.3 36.4 1 S S S
20 Basic chemicals 51 0.2 41 0.2 S S S 40.7 0.1 34.7 0.1 S S S
21 Pharmaceutical products S S S S S S 783 S S S S S S 9.4
22 Fertilizers S S S S 5 0.1 S S S S S 47.4 0.1 S
23 Chemical products and preparations, nec 2,167 7.1 433 1.9 304 5.8 668 25.3 1.2 21.7 0.4 24.1 1.2 13.3
24 Plastics and rubber 1,108 3.7 379 1.7 232 4.4 749 22.2 1.6 26 0.5 24.7 2 14.4
25 Logs and other wood in the rough 21 0.1 30 0.1 23 0.4 584 29.3 0.6 10.8 0.4 9 2.8 9.5
26 Wood products 253 0.8 234 1 S S 170 23.4 0.3 29.9 0.4 S S 35
27 Pulp, newsprint, paper, and paperboard 59 0.2 40 0.2 30 0.6 801 30.6 0.1 33 0.1 40.6 0.2 17.5
28 Paper or paperboard articles 396 1.3 S S S S 1,423 49 0.8 S S S S 23.3
29 Printed products 676 2.2 181 0.8 124 2.4 1,484 32.2 0.8 30.7 0.4 37.7 1.1 15.8
30 Textiles, leather, and articles of textiles or leather 1,006 3.3 89 0.4 S S 1,357 48.3 1 45.7 0.3 S S 11.3
31 Nonmetallic mineral products 802 2.6 7,597 33.4 502 9.5 197 20.6 0.7 17.6 4.1 31.3 2.2 26.1
32 Base metal in prim. or semifin. forms & in finished basic shapes 546 1.8 154 0.7 35 0.7 688 22.5 0.4 31.6 0.4 29.8 0.3 30.6
33 Articles of base metal 1,071 3.5 290 1.3 135 2.6 659 18.1 1.1 30.2 0.3 29.8 0.6 16.7
34 Machinery 1,598 5.3 116 0.5 83 1.6 930 20.5 1.5 38.9 0.2 48.1 0.7 15
35 Electronic & other electrical equip & components & office equip 3,365 11.1 161 0.7 S S 889 35.1 3.8 43.3 0.4 S S 15.3
36 Motorized and other vehicles (including parts) 1,061 3.5 123 0.5 S S 1,293 27 1 41.6 0.2 S S 11.8
37 Transportation equipment, nec 13 - 7 - 6 0.1 S 21.4 0.2 13.5 0.2 38.6 0.8 S
38 Precision instruments and apparatus 367 1.2 12 0.1 S S 734 38.8 0.5 45 - S S 23.6
39 Furniture, mattresses & mattress supports, lamps, lighting S S S S S S S S S S S S S S
40 Miscellaneous manufactured products 1,766 5.8 270 1.2 226 4.3 965 21.6 1.3 27.8 0.4 43.2 1.1 8.6
41 Waste and scrap 1 - 4 - S S S 8.7 - 4.5 - S S S
43 Mixed freight S S 658 2.9 S S 279 S S 46.6 2.3 S S 38.7
99 Commodity Unknown S S S S S S 467 S S S S S S 35.4

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.