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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 169,647 100 262,994 100 95,854 100 299 8.2 - 5.7 - 9.1 - 11.7
01 Live animals and live fish S S 165 0.1 S S 80 S S 35 - S S 38.2
02 Cereal grains 7,779 4.6 51,579 19.6 29,401 30.7 222 30.7 1.3 25 4 34 6.7 28.5
03 Other agricultural products 2,926 1.7 10,404 4 4,569 4.8 S 14.1 0.3 14 0.5 27.7 1.4 S
04 Animal feed and products of animal origin, nec 2,872 1.7 11,501 4.4 6,807 7.1 224 22.7 0.4 25.9 1.4 42.7 3.3 26.2
05 Meat, fish, seafood, and their preparations S S S S S S 300 S S S S S S 27.8
06 Milled grain products and preparations and bakery products 3,411 2 3,803 1.4 2,124 2.2 477 40.3 0.5 29.7 0.4 28.3 0.9 9.2
07 Other prepared foodstuffs and fats and oils 10,209 6 12,540 4.8 4,513 4.7 84 13.1 0.8 10.3 0.5 17.3 0.7 36.6
08 Alcoholic beverages 2,534 1.5 3,027 1.2 S S 78 23.8 0.5 36.2 0.4 S S 27.9
09 Tobacco products S S S S 1 - S S S S S 21.4 - S
10 Calcareous monumental or building stone 8 - S S S S S 35.1 - S S S S S
11 Natural sands 303 0.2 11,410 4.3 4,508 4.7 208 38.2 0.1 28.4 1.3 44.5 2.3 34.5
12 Gravel and crushed stone 395 0.2 52,468 20 S S S 22.4 0.1 34 6 S S S
13 Nonmetallic minerals nec 96 0.1 322 0.1 136 0.1 282 24.3 - 21.9 - 21.2 - 38.7
14 Metallic ores and concentrates S S S S S S 397 S S S S S S 38
15 Nonagglomerated bituminous coal 1,199 0.7 35,793 13.6 11,501 12 265 27.3 0.2 27 4.1 32.8 4.6 18.9
17 Gasoline and aviation turbine fuel S S S S S S 33 S S S S S S 17.7
18 Fuel oils 2,402 1.4 4,239 1.6 564 0.6 42 30.5 0.3 31.9 0.5 44.8 0.2 36.1
19 Coal and petroleum products, nec 5,964 3.5 10,770 4.1 5,450 5.7 138 44 1.1 44.1 2.1 44.5 2.9 32.5
20 Basic chemicals S S 1,433 0.5 798 0.8 443 S S 32.8 0.2 34.4 0.3 21.1
21 Pharmaceutical products S S S S 12 - 540 S S S S 41.7 - 24.4
22 Fertilizers 1,221 0.7 3,592 1.4 295 0.3 S 23.3 0.2 21.6 0.3 31.2 0.1 S
23 Chemical products and preparations, nec 4,143 2.4 1,122 0.4 424 0.4 340 16.3 0.3 23.5 0.1 27.9 0.1 18.7
24 Plastics and rubber 6,454 3.8 2,025 0.8 1,162 1.2 380 23.9 0.6 21.6 0.2 21.5 0.3 20
25 Logs and other wood in the rough S S S S S S S S S S S S S S
26 Wood products 827 0.5 1,231 0.5 189 0.2 246 13.3 0.1 41.8 0.2 40.5 0.1 20.2
27 Pulp, newsprint, paper, and paperboard 307 0.2 S S 24 - S 38.3 0.1 S S 31.4 - S
28 Paper or paperboard articles 1,074 0.6 939 0.4 229 0.2 395 23.3 0.2 35.4 0.1 32.7 0.1 21.5
29 Printed products 3,087 1.8 1,834 0.7 871 0.9 404 13.8 0.3 24.6 0.2 25.1 0.2 17.2
30 Textiles, leather, and articles of textiles or leather 630 0.4 33 - 14 - 685 32.1 0.1 40.6 - 45.1 - 14.5
31 Nonmetallic mineral products 1,686 1 10,580 4 2,294 2.4 120 10.8 0.1 12.5 0.6 37.8 1.1 40
32 Base metal in prim. or semifin. forms & in finished basic shapes 4,736 2.8 3,481 1.3 1,239 1.3 264 15.9 0.6 25.9 0.5 23.4 0.4 29.1
33 Articles of base metal 7,450 4.4 2,581 1 1,361 1.4 505 10.5 0.6 8.4 0.1 9.8 0.1 6.8
34 Machinery 19,478 11.5 1,937 0.7 1,310 1.4 357 17.3 2.1 21.9 0.1 31.3 0.3 22.2
35 Electronic & other electrical equip & components & office equip 7,731 4.6 780 0.3 314 0.3 175 10.5 0.4 17.4 0.1 26.4 0.1 49.5
36 Motorized and other vehicles (including parts) 21,322 12.6 3,013 1.1 1,916 2 406 22.3 1.7 14.7 0.2 23.7 0.5 27.3
37 Transportation equipment, nec 349 0.2 17 - 14 - 819 38.4 0.1 38 - 37.9 - 3.9
38 Precision instruments and apparatus 1,712 1 S S S S S 43.1 0.6 S S S S S
39 Furniture, mattresses & mattress supports, lamps, lighting 765 0.5 134 0.1 54 0.1 332 30.5 0.2 29.7 - 20.7 - 40.3
40 Miscellaneous manufactured products 4,978 2.9 1,196 0.5 650 0.7 827 26.5 0.6 25.3 0.1 30.1 0.3 9.2
41 Waste and scrap S S S S S S 160 S S S S S S 24.5
43 Mixed freight 22,243 13.1 4,005 1.5 995 1 226 16 2.1 11.2 0.2 19.1 0.3 24.4
99 Commodity Unknown 3 - - - - - S 43.2 - 33.9 - 35.3 - 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.