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 47,205 100 38,592 100 6,258 100 484 8.2 - 19.6 - 15.4 - 12.8
02 Cereal grains S S S S S S 200 S S S S S S 41.8
03 Other agricultural products 483 1 S S 148 2.4 119 44.5 0.7 S S 46.3 1.1 31.1
04 Animal feed and products of animal origin, nec S S S S 28 0.4 S S S S S 32.6 2.1 S
05 Meat, fish, seafood, and their preparations 529 1.1 92 0.2 8 0.1 675 35.3 0.6 34.6 0.2 33.2 - 31.3
06 Milled grain products and preparations and bakery products 100 0.2 S S S S S 48.6 0.2 S S S S S
07 Other prepared foodstuffs and fats and oils 3,414 7.2 3,784 9.8 1,729 27.6 258 17.8 1.2 20 3.8 27.3 7.6 43
08 Alcoholic beverages 947 2 969 2.5 280 4.5 60 19.5 0.5 19 1.3 33.8 3.2 10.4
09 Tobacco products S S S S S S S S S S S S S S
10 Calcareous monumental or building stone S S S S S S S S S S S S S S
11 Natural sands 9 - 1,035 2.7 S S S 11.9 - 3.1 4 S S S
12 Gravel and crushed stone 79 0.2 10,046 26 207 3.3 18 28.9 - 29.6 5.1 33.7 1.1 8.5
13 Nonmetallic minerals nec S S S S S S 131 S S S S S S 27
14 Metallic ores and concentrates S S S S S S S S S S S S S S
15 Nonagglomerated bituminous coal S S S S S S S S S S S S S S
17 Gasoline and aviation turbine fuel 2,745 5.8 4,205 10.9 S S S 44.2 2.5 49.5 2.5 S S S
18 Fuel oils 852 1.8 1,239 3.2 S S 14 49.2 0.8 41.8 0.9 S S 29.8
19 Coal and petroleum products, nec 437 0.9 959 2.5 22 0.4 S 35.6 0.4 34 1.1 37.6 0.4 S
20 Basic chemicals 139 0.3 172 0.4 S S 250 29.4 0.2 32.5 0.5 S S 21.8
21 Pharmaceutical products 2,718 5.8 13 - 5 0.1 425 44.8 3.4 26.4 - 21.4 - 35.8
22 Fertilizers S S S S 8 0.1 39 S S S S 38.7 0.1 49.2
23 Chemical products and preparations, nec S S 714 1.8 S S 386 S S 35.2 0.9 S S 21.5
24 Plastics and rubber 2,383 5 453 1.2 229 3.7 273 29.4 1.5 34.2 0.4 34.8 1.5 25.2
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 323 0.7 290 0.8 18 0.3 S 29.7 0.2 20.8 0.3 23.4 0.1 S
27 Pulp, newsprint, paper, and paperboard 676 1.4 387 1 88 1.4 141 28.7 0.4 26 0.3 39.5 0.5 48.3
28 Paper or paperboard articles 543 1.1 316 0.8 39 0.6 S 22.4 0.3 24.3 0.3 27.9 0.2 S
29 Printed products 1,408 3 209 0.5 95 1.5 749 30.3 1 28.6 0.4 44.1 0.8 17.4
30 Textiles, leather, and articles of textiles or leather 1,215 2.6 35 0.1 23 0.4 881 24 0.6 32.1 - 28.4 0.1 12.8
31 Nonmetallic mineral products 733 1.6 1,728 4.5 229 3.7 S 10.9 0.3 28.4 2.2 28.6 1.5 S
32 Base metal in prim. or semifin. forms & in finished basic shapes 2,214 4.7 901 2.3 111 1.8 152 25.8 1.2 35.3 1.3 22.1 0.6 20
33 Articles of base metal 1,184 2.5 381 1 91 1.4 255 17.8 0.5 17.6 0.3 22.2 0.4 20.8
34 Machinery 2,452 5.2 200 0.5 175 2.8 466 20.9 1.1 30 0.3 36.8 1.6 15.8
35 Electronic & other electrical equip & components & office equip 5,357 11.3 109 0.3 54 0.9 607 15.9 2.1 16.9 0.1 21.6 0.3 19.3
36 Motorized and other vehicles (including parts) 667 1.4 137 0.4 23 0.4 S 27.3 0.5 26.6 0.2 24.5 0.2 S
37 Transportation equipment, nec 139 0.3 S S S S 838 26.3 0.2 S S S S 13.9
38 Precision instruments and apparatus 2,028 4.3 30 0.1 23 0.4 654 28.4 1.6 35.9 - 43 0.3 21.4
39 Furniture, mattresses & mattress supports, lamps, lighting 161 0.3 17 - 3 - S 41.7 0.2 41.5 - 48.9 - S
40 Miscellaneous manufactured products 1,994 4.2 191 0.5 169 2.7 898 14.1 0.8 21.9 0.2 24.4 0.7 9.3
41 Waste and scrap 421 0.9 1,093 2.8 S S 168 42.1 0.5 49.9 2.6 S S 12.5
43 Mixed freight 3,010 6.4 560 1.5 116 1.9 508 24.6 1.8 19.7 0.9 19.3 1 25.4
99 Commodity Unknown 2 - S S S S S 26.8 - 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.