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.

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 2,876 100 4,505 100 57 100 776 20.4 - 26.3 - 18.4 - 25.9
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 10 S S S S S S 9.4
05 Meat, fish, seafood, and their preparations 175 6.1 29 0.6 1 1.2 42 32.7 4.5 19.2 0.7 24.4 1.2 22.7
06 Milled grain products and preparations and bakery products S S S S S S 26 S S S S S S 32.8
07 Other prepared foodstuffs and fats and oils S S S S S S 30 S S S S S S 32.2
08 Alcoholic beverages 398 13.8 203 4.5 1 1.7 5 45.7 5.7 23.4 9.6 26.5 1.3 14.4
13 Nonmetallic minerals nec S S S S S S S S S S S S S S
20 Basic chemicals 4 0.1 - - - - 13 41.6 0.5 33.2 - 44.7 - 12.4
21 Pharmaceutical products S S S S S S S S S S S S S S
23 Chemical products and preparations, nec 3 0.1 S S - - 706 30.7 0.1 S S 39.8 - 22.1
24 Plastics and rubber 2 0.1 - - - - 5 2.9 0.1 - 0.2 7.2 - 7.2
26 Wood products 62 2.2 12 0.3 1 1.3 59 40.3 9.8 21.9 2.3 37.9 4 24
27 Pulp, newsprint, paper, and paperboard S S S S S S S S S S S S S S
28 Paper or paperboard articles S S S S S S 13 S S S S S S 24.6
29 Printed products 337 11.7 S S S S 1,006 49.5 3.3 S S S S 25.2
30 Textiles, leather, and articles of textiles or leather 174 6.1 1 - - 0.6 235 27.8 3.4 37.2 0.1 22.8 0.3 23.3
31 Nonmetallic mineral products 132 4.6 3,678 81.6 22 39 6 22.5 4.4 29.7 12.5 36.1 9.9 9.5
32 Base metal in prim. or semifin. forms & in finished basic shapes 1 - S S S S 6 31.2 0.1 S S S S 10
33 Articles of base metal 45 1.6 S S - 0.1 99 28.4 1.1 S S 48.6 0.2 31.5
34 Machinery S S S S - - 38 S S S S 41.7 - 42.2
35 Electronic & other electrical equip & components & office equip 328 11.4 S S - 0.6 43 47 7.2 S S 49.2 1.2 35.4
38 Precision instruments and apparatus S S S S S S S S S S S S S S
39 Furniture, mattresses & mattress supports, lamps, lighting S S S S S S 620 S S S S S S 49.4
40 Miscellaneous manufactured products S S S S S S S S S S S S S S
41 Waste and scrap 38 1.3 95 2.1 S S 100 8.2 3.4 22.8 9 S S 33.4
43 Mixed freight S S S S S S 36 S S S S S S 43.9
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.