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 85,066 100 117,764 100 10,865 100 907 33.1 - 19 - 21.8 - 15.2
01 Live animals and live fish 57 0.1 21 - S S S 8.8 0.6 48.2 0.2 S S S
02 Cereal grains S S S S S S S S S S S S S S
03 Other agricultural products 320 0.4 215 0.2 S S 180 29.6 0.3 48.1 0.1 S S 29.3
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 1,455 1.7 595 0.5 170 1.6 S 24.1 0.9 21.4 0.2 12.1 0.4 S
06 Milled grain products and preparations and bakery products 1,231 1.4 1,237 1.1 216 2 238 29.2 0.9 43.7 0.8 22.1 0.7 41
07 Other prepared foodstuffs and fats and oils 2,173 2.6 2,788 2.4 S S S 15.5 1.3 32.2 1.8 S S S
08 Alcoholic beverages 959 1.1 558 0.5 S S 39 22.3 0.4 26.1 0.2 S S 48.1
09 Tobacco products S S S S S S S S S S S S S S
10 Calcareous monumental or building stone S S S S S S S S S S S S S S
11 Natural sands 9 - 1,340 1.1 63 0.6 46 18.6 - 8.5 1.3 10.7 1.2 9.5
12 Gravel and crushed stone 306 0.4 53,438 45.4 S S 43 41.3 0.3 41.5 10.7 S S 17.2
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 S S S S S S S S
15 Nonagglomerated bituminous coal S S S S S S 209 S S S S S S 41.2
17 Gasoline and aviation turbine fuel S S S S 379 3.5 26 S S S S 36.3 3.7 23.2
18 Fuel oils 3,911 4.6 6,062 5.1 156 1.4 S 41.4 4.5 42.2 4.8 31.5 1.5 S
19 Coal and petroleum products, nec 1,498 1.8 4,709 4 416 3.8 55 43.5 1.7 34.5 2.5 41.3 2.9 14.4
20 Basic chemicals S S S S S S S S S S S S S S
21 Pharmaceutical products S S S S S S 978 S S S S S S 17.3
22 Fertilizers S S S S S S S S S S S S S S
23 Chemical products and preparations, nec 1,237 1.5 359 0.3 S S 565 42.7 1.1 37.1 0.1 S S 26.2
24 Plastics and rubber 1,438 1.7 399 0.3 94 0.9 128 12.7 0.5 13.7 0.2 24.8 0.3 28.8
25 Logs and other wood in the rough 3 - 2 - S S S 36.5 - 38.3 - S S S
26 Wood products 408 0.5 268 0.2 19 0.2 82 34.1 0.1 31.5 0.1 39.2 0.1 34.8
27 Pulp, newsprint, paper, and paperboard 263 0.3 208 0.2 39 0.4 S 15.6 0.1 17.4 - 30.3 0.1 S
28 Paper or paperboard articles 553 0.7 439 0.4 S S S 37.7 0.5 46.6 0.3 S S S
29 Printed products 1,105 1.3 298 0.3 129 1.2 1,392 25.6 0.9 44.1 0.4 35.6 1.1 16.7
30 Textiles, leather, and articles of textiles or leather 778 0.9 59 0.1 39 0.4 1,096 18.7 0.4 23.2 - 26.4 0.2 13.4
31 Nonmetallic mineral products 2,073 2.4 19,841 16.8 1,456 13.4 168 19.7 0.6 21.9 4.9 17.5 5.1 21.7
32 Base metal in prim. or semifin. forms & in finished basic shapes 1,518 1.8 1,742 1.5 349 3.2 116 31.3 0.9 33.2 0.4 36.9 0.9 16.2
33 Articles of base metal 1,228 1.4 512 0.4 S S 247 27.2 0.7 43 0.2 S S 40.7
34 Machinery 2,258 2.7 511 0.4 S S 320 21.5 0.8 47.1 0.4 S S 31.3
35 Electronic & other electrical equip & components & office equip 1,748 2.1 S S S S 1,399 43.5 1.9 S S S S 19.7
36 Motorized and other vehicles (including parts) S S S S S S S S S S S S S S
37 Transportation equipment, nec 553 0.7 S S S S 941 27.2 0.3 S S S S 9.9
38 Precision instruments and apparatus 406 0.5 4 - S S 556 40.2 0.5 36.1 - S S 35.3
39 Furniture, mattresses & mattress supports, lamps, lighting 563 0.7 70 0.1 50 0.5 1,069 39.9 0.7 39.1 0.1 45 0.3 24.7
40 Miscellaneous manufactured products 1,945 2.3 263 0.2 79 0.7 1,068 18.6 0.9 24.2 0.2 29.4 0.3 11.7
41 Waste and scrap S S S S S S 166 S S S S S S 44.9
43 Mixed freight 6,258 7.4 2,108 1.8 366 3.4 168 18.3 2.5 16.3 0.7 14.6 1.3 18.4
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.