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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 34,959 100 25,817 100 3,880 100 457 11.3 - 25.4 - 10.8 - 13.2
01 Live animals and live fish S S S S S S 290 S S S S S S 6.8
02 Cereal grains 1 - 7 - S S 222 38.7 - 39.3 0.2 S S 32
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 S S 1,221 4.7 S S 253 S S 45.4 4.3 S S 21.2
05 Meat, fish, seafood, and their preparations 820 2.3 278 1.1 111 2.9 90 39.1 2.6 38.6 1.9 41.6 2.7 38.8
06 Milled grain products and preparations and bakery products 154 0.4 234 0.9 62 1.6 S 34.6 0.2 36.6 0.7 37.4 1.3 S
07 Other prepared foodstuffs and fats and oils 1,318 3.8 1,104 4.3 204 5.3 363 18.2 1.1 17.7 1.1 21 0.9 30
08 Alcoholic beverages 486 1.4 548 2.1 16 0.4 30 36.3 0.7 37.2 0.9 39.3 0.3 5.3
09 Tobacco products 46 0.1 1 - - - 25 28.6 0.1 30.2 - 31.6 - 30.1
10 Calcareous monumental or building stone S S 14 0.1 S S S S S 36.3 0.4 S S S
11 Natural sands 9 - 1,481 5.7 S S 25 44.8 - 32.9 2 S S 25.1
12 Gravel and crushed stone 2 - 180 0.7 10 0.3 S 28 - 29.4 0.6 40.7 0.2 S
13 Nonmetallic minerals nec 23 0.1 S S S S S 46.7 0.1 S S S S S
14 Metallic ores and concentrates S S S S S S 6 S S S S S S 9.9
17 Gasoline and aviation turbine fuel 1,998 5.7 2,756 10.7 97 2.5 35 9.5 5.4 7.9 7.9 16.7 3.1 6.9
18 Fuel oils 1,078 3.1 1,586 6.1 47 1.2 26 33.6 4.9 31.1 7.6 41.2 3.3 8.6
19 Coal and petroleum products, nec 479 1.4 S S S S S 48.8 0.7 S S S S S
20 Basic chemicals 135 0.4 S S 9 0.2 454 40.2 0.1 S S 25.5 0.1 37.7
21 Pharmaceutical products S S 23 0.1 7 0.2 324 S S 31.5 0.1 36.4 0.1 34.9
22 Fertilizers 2 - 2 - S S 177 47.5 - 42.1 - S S 30
23 Chemical products and preparations, nec 326 0.9 104 0.4 34 0.9 178 34.9 0.4 43.2 0.2 49.2 0.4 38.4
24 Plastics and rubber 1,789 5.1 650 2.5 365 9.4 297 28.9 1.5 22.5 0.9 24.8 2.7 27.6
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 396 1.1 625 2.4 96 2.5 292 28.4 0.4 34.5 0.9 49.6 1.5 24.1
27 Pulp, newsprint, paper, and paperboard S S S S 9 0.2 S S S S S 45.5 0.1 S
28 Paper or paperboard articles 202 0.6 158 0.6 32 0.8 S 23.3 0.2 27.2 0.3 31.8 0.5 S
29 Printed products 325 0.9 101 0.4 S S 444 34.8 0.3 48.2 0.3 S S 20.2
30 Textiles, leather, and articles of textiles or leather 307 0.9 S S S S 856 27.1 0.3 S S S S 13
31 Nonmetallic mineral products 560 1.6 3,713 14.4 241 6.2 750 30.2 0.8 22.6 3.8 43.8 1.6 27.8
32 Base metal in prim. or semifin. forms & in finished basic shapes 651 1.9 S S S S 395 42.7 0.8 S S S S 31
33 Articles of base metal 1,427 4.1 418 1.6 173 4.5 274 18.2 1.2 21.6 0.8 37.6 1.6 26.4
34 Machinery 3,414 9.8 297 1.2 208 5.4 483 23.8 1.9 15.9 0.3 13.8 0.7 17.9
35 Electronic & other electrical equip & components & office equip 2,904 8.3 217 0.8 141 3.6 809 22 2 30.3 0.4 44.1 1.2 14.2
36 Motorized and other vehicles (including parts) 2,148 6.1 S S 122 3.1 S 46 2 S S 34.9 0.8 S
38 Precision instruments and apparatus 639 1.8 11 - 6 0.2 858 26 0.6 30.6 - 28.9 0.1 15.2
39 Furniture, mattresses & mattress supports, lamps, lighting 157 0.4 S S 7 0.2 S 27 0.1 S S 28.9 0.1 S
40 Miscellaneous manufactured products 661 1.9 127 0.5 44 1.1 604 24.1 0.7 36.2 0.3 38.3 0.6 22.1
41 Waste and scrap 1 - 9 - 2 - S 11.3 - 43.3 0.1 21.6 0.2 S
43 Mixed freight 6,385 18.3 2,627 10.2 922 23.8 169 14.3 3 19.7 3.5 14.6 2.9 30.5
99 Commodity Unknown S S - - S S S S S 25.8 - 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.