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 37,332 100 98,025 100 62,213 100 620 12.1 - 22.7 - 23.3 - 9.3
01 Live animals and live fish S S S S S S S S S S S S S S
02 Cereal grains 772 2.1 4,683 4.8 1,339 2.2 S 35.3 0.8 36 2.2 28.7 3.1 S
03 Other agricultural products 563 1.5 S S S S 372 37.6 0.4 S S S S 37
04 Animal feed and products of animal origin, nec 365 1 S S S S S 42 0.4 S S S S S
05 Meat, fish, seafood, and their preparations 2,279 6.1 645 0.7 732 1.2 S 34 2.6 34.6 0.4 36.2 1.3 S
06 Milled grain products and preparations and bakery products S S 40 - 2 - S S S 18.8 0.1 39.5 - S
07 Other prepared foodstuffs and fats and oils 2,640 7.1 1,833 1.9 S S 438 30.8 2.3 29.2 0.8 S S 34.7
08 Alcoholic beverages 1,428 3.8 1,492 1.5 837 1.3 108 34.8 0.9 36.1 0.9 39.8 1.8 27.8
10 Calcareous monumental or building stone 96 0.3 443 0.5 47 0.1 S 43.6 0.2 44.9 0.5 37.2 0.1 S
11 Natural sands 22 0.1 S S 43 0.1 S 39.8 - S S 34.7 0.1 S
12 Gravel and crushed stone 167 0.4 14,410 14.7 350 0.6 23 33.1 0.3 20.4 4 23.6 0.5 8.8
13 Nonmetallic minerals nec S S S S S S S S S S S S S S
14 Metallic ores and concentrates 742 2 S S S S 1,072 48.2 1.6 S S S S 20
15 Nonagglomerated bituminous coal 1,218 3.3 53,105 54.2 52,142 83.8 S 32.8 0.9 32.7 7.3 27.9 12.4 S
17 Gasoline and aviation turbine fuel S S S S S S 34 S S S S S S 44.6
18 Fuel oils S S S S S S 28 S S S S S S 48.3
19 Coal and petroleum products, nec 751 2 1,190 1.2 43 0.1 47 42.4 1.3 38.5 1.2 43.8 0.1 31.3
20 Basic chemicals 92 0.2 S S S S S 44.4 0.3 S S S S S
21 Pharmaceutical products 1,173 3.1 S S 1 - 635 36 1.1 S S 25.7 - 42.5
22 Fertilizers S S S S S S 95 S S S S S S 30.2
23 Chemical products and preparations, nec S S S S S S S S S S S S S S
24 Plastics and rubber 588 1.6 125 0.1 77 0.1 S 24.2 0.7 23.3 0.1 24.2 0.1 S
25 Logs and other wood in the rough - - S S S S S 44.5 - S S S S S
26 Wood products 501 1.3 676 0.7 181 0.3 342 21.4 0.5 32.1 0.2 38.6 0.1 36
27 Pulp, newsprint, paper, and paperboard S S S S 1 - S S S S S 44.6 - S
28 Paper or paperboard articles S S S S S S 895 S S S S S S 20.6
29 Printed products 793 2.1 131 0.1 57 0.1 838 21 0.6 21.4 - 30.2 0.1 13.2
30 Textiles, leather, and articles of textiles or leather 343 0.9 7 - 10 - 1,237 39.3 0.4 39.2 - 42.9 - 11.9
31 Nonmetallic mineral products 838 2.2 6,169 6.3 968 1.6 256 38.5 1.4 33.3 2.2 45 0.7 23
32 Base metal in prim. or semifin. forms & in finished basic shapes 318 0.9 396 0.4 315 0.5 S 29.8 0.3 32.8 0.3 38.2 0.8 S
33 Articles of base metal 2,042 5.5 1,185 1.2 631 1 705 16.7 1.2 29.6 0.5 27 1.4 15.4
34 Machinery 2,539 6.8 241 0.2 122 0.2 843 29 1.3 39.1 0.1 29 0.3 14.8
35 Electronic & other electrical equip & components & office equip 6,538 17.5 120 0.1 40 0.1 845 37.5 4 47.3 0.1 23.4 0.1 16.7
36 Motorized and other vehicles (including parts) 506 1.4 72 0.1 57 0.1 436 32.6 0.8 41.2 0.1 45.1 0.1 27.2
37 Transportation equipment, nec 323 0.9 S S S S 1,248 29 1.5 S S S S 6.1
38 Precision instruments and apparatus 1,355 3.6 S S S S 1,105 32 1.3 S S S S 6.7
39 Furniture, mattresses & mattress supports, lamps, lighting 153 0.4 33 - 25 - 369 35.8 0.2 41.3 - 45.4 0.1 39.7
40 Miscellaneous manufactured products 2,777 7.4 S S 295 0.5 794 38.4 2.6 S S 43.9 0.6 18.6
41 Waste and scrap 1 - 9 - S S S 24.2 - 19.9 - S S S
43 Mixed freight 2,801 7.5 869 0.9 174 0.3 112 28.7 2.7 26 0.5 32.8 0.3 32.4
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.