USA Banner

Official US Government Icon

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure Site Icon

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

U.S. Department of Transportation U.S. Department of Transportation Icon United States Department of Transportation United States Department of Transportation

Table 6. Shipment Characteristics by Two-Digit Commodity for Metropolitan Area of Origin: 2007

Tuesday, July 3, 2012

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 101,894 100 81,674 100 15,726 100 335 4.5 - 13.1 - 19.7 - 14.4
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 S S S S S S S S S S S S S S
04 Animal feed and products of animal origin, nec 1,262 1.2 2,180 2.7 320 2 S 35.8 0.6 37.9 2.1 40 1.5 S
05 Meat, fish, seafood, and their preparations 853 0.8 317 0.4 66 0.4 200 28.2 0.5 26.1 0.3 28.4 0.3 17.6
06 Milled grain products and preparations and bakery products 709 0.7 469 0.6 228 1.5 361 41.1 0.3 39.5 0.4 49.9 0.9 43.1
07 Other prepared foodstuffs and fats and oils 7,463 7.3 4,985 6.1 2,174 13.8 110 16.4 1.4 18.5 1.7 21.5 3.9 32.3
08 Alcoholic beverages 1,824 1.8 1,948 2.4 724 4.6 58 11.3 0.2 15.3 0.8 36.4 2.7 24
09 Tobacco products 199 0.2 6 - - - S 8.7 0.2 12.3 - 40.5 - S
10 Calcareous monumental or building stone S S S S S S 748 S S S S S S 26.1
11 Natural sands S S 1,355 1.7 S S 63 S S 37.7 0.8 S S 25.7
12 Gravel and crushed stone 149 0.1 17,879 21.9 609 3.9 31 19.6 - 24.2 4.3 27.7 1.1 13.4
13 Nonmetallic minerals nec S S S S S S 323 S S S S S S 25
15 Nonagglomerated bituminous coal S S S S S S S S S S S S S S
17 Gasoline and aviation turbine fuel 1,164 1.1 1,648 2 32 0.2 20 30.7 0.4 24.4 0.7 13.5 0.1 17.5
18 Fuel oils 1,114 1.1 1,747 2.1 39 0.2 22 22.1 0.3 20.1 0.5 22.2 0.1 11.9
19 Coal and petroleum products, nec 1,278 1.3 4,855 5.9 156 1 37 48.5 0.7 31.5 1.5 28.1 0.4 23.7
20 Basic chemicals S S S S S S S S S S S S S S
21 Pharmaceutical products S S 115 0.1 42 0.3 S S S 33.5 0.1 33.4 0.1 S
22 Fertilizers 32 - S S 3 - 55 1.2 0.1 S S 41 0.2 26.5
23 Chemical products and preparations, nec 501 0.5 151 0.2 71 0.5 409 39.9 0.2 25.8 0.1 30.8 0.2 38.5
24 Plastics and rubber 2,125 2.1 663 0.8 227 1.4 530 16 0.3 35.2 0.2 17 0.4 16.5
25 Logs and other wood in the rough 39 - 251 0.3 43 0.3 S 27.2 - 31.7 0.1 25.7 0.1 S
26 Wood products 1,677 1.6 3,207 3.9 571 3.6 293 11.9 0.2 21.1 0.9 18.2 1.1 11.1
27 Pulp, newsprint, paper, and paperboard 1,462 1.4 1,894 2.3 785 5 251 17.1 0.2 24.5 0.6 22.6 1.2 39.9
28 Paper or paperboard articles 1,582 1.6 1,664 2 415 2.6 879 22.7 0.4 47.2 0.7 34.6 0.9 19
29 Printed products 1,460 1.4 S S S S S 45.4 0.6 S S S S S
30 Textiles, leather, and articles of textiles or leather 644 0.6 44 0.1 34 0.2 1,048 27.6 0.2 28.3 - 37.3 0.1 13.7
31 Nonmetallic mineral products 1,714 1.7 5,169 6.3 448 2.8 537 24.9 0.3 23.9 2.5 23.2 0.5 17.2
32 Base metal in prim. or semifin. forms & in finished basic shapes 8,961 8.8 6,169 7.6 1,515 9.6 472 17.7 1.6 33.1 2.5 22.5 1.9 24.2
33 Articles of base metal 2,623 2.6 1,319 1.6 S S 336 23.2 0.6 36.4 0.3 S S 23.5
34 Machinery 6,373 6.3 490 0.6 349 2.2 581 11.4 0.7 18.3 0.1 23 0.5 15.7
35 Electronic & other electrical equip & components & office equip 7,576 7.4 173 0.2 107 0.7 647 7.3 0.7 27.1 0.1 25.6 0.4 15.6
36 Motorized and other vehicles (including parts) 6,078 6 563 0.7 196 1.2 S 21.3 1.4 27.7 0.2 28 0.3 S
37 Transportation equipment, nec 922 0.9 50 0.1 S S 783 35.4 0.4 38.1 0.1 S S 18.6
38 Precision instruments and apparatus 2,669 2.6 42 0.1 28 0.2 986 35.4 1 34.9 - 37 0.1 10.9
39 Furniture, mattresses & mattress supports, lamps, lighting 942 0.9 84 0.1 56 0.4 850 18 0.2 19.3 - 21.6 0.1 12.5
40 Miscellaneous manufactured products 4,656 4.6 757 0.9 290 1.8 851 25.1 1.2 35.7 0.3 20.6 0.5 11.1
41 Waste and scrap S S S S S S 235 S S S S S S 28.2
43 Mixed freight 18,828 18.5 5,165 6.3 755 4.8 364 19.8 3.3 17.9 1.2 20.3 0.8 18.8
99 Commodity Unknown S S S S - - S S S S S 22.7 - 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.