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.

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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 75,411 100 115,846 100 S S 643 13.3 - 33.4 - S S 6
01 Live animals and live fish 158 0.2 169 0.1 S S S 21.5 1 42.8 1.2 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 89 0.1 S S 52 0.2 S 35.8 0.3 S S 26.1 1.3 S
05 Meat, fish, seafood, and their preparations 470 0.6 178 0.2 60 0.2 S 29.5 0.6 31.9 0.2 23.2 0.5 S
06 Milled grain products and preparations and bakery products 1,250 1.7 758 0.7 130 0.5 S 22.3 0.6 19.8 0.5 49.3 0.6 S
07 Other prepared foodstuffs and fats and oils 2,427 3.2 3,136 2.7 479 2 64 22.1 1.3 21.5 2.1 30.2 2.1 48.5
08 Alcoholic beverages 458 0.6 247 0.2 6 - 25 40.3 0.3 34.6 0.1 36.5 - 25.5
09 Tobacco products 1,030 1.4 26 - 15 0.1 367 35.5 0.6 34.3 - 38.6 0.1 24.4
11 Natural sands S S S S S S 25 S S S S S S 12.2
12 Gravel and crushed stone 563 0.7 S S S S 83 40.3 0.2 S S S S 30.9
13 Nonmetallic minerals nec S S S S S S 139 S S S S S S 42
14 Metallic ores and concentrates 104 0.1 S S S S 553 45.6 0.2 S S S S 45.2
17 Gasoline and aviation turbine fuel 2,288 3 3,145 2.7 105 0.4 34 10.4 0.5 6.8 1.2 17.1 0.5 20
18 Fuel oils 1,107 1.5 1,772 1.5 50 0.2 32 33.8 0.3 35.7 1.2 27.6 0.3 24.5
19 Coal and petroleum products, nec 1,674 2.2 S S 218 0.9 813 44 0.7 S S 43.2 1 27.9
20 Basic chemicals 200 0.3 231 0.2 S S S 28.5 0.2 48.7 0.4 S S S
21 Pharmaceutical products 2,573 3.4 59 0.1 S S 709 41.1 1.3 46.7 0.1 S S 6.7
22 Fertilizers S S 319 0.3 S S 304 S S 48.5 0.8 S S 38.5
23 Chemical products and preparations, nec 728 1 S S S S 447 41.3 0.8 S S S S 25.5
24 Plastics and rubber 1,975 2.6 659 0.6 243 1 301 19.8 0.7 21.1 0.4 22.3 0.6 17.8
25 Logs and other wood in the rough S S S S S S 607 S S S S S S 30.1
26 Wood products 766 1 1,676 1.4 204 0.8 207 17.1 0.2 24.7 0.7 21 0.5 32.2
27 Pulp, newsprint, paper, and paperboard 220 0.3 207 0.2 17 0.1 S 30.1 0.1 33.3 0.2 31.2 0.1 S
28 Paper or paperboard articles 558 0.7 424 0.4 171 0.7 497 31 0.3 37.8 0.4 34.3 0.8 14.6
29 Printed products 6,003 8 S S 808 3.3 830 16.8 1.9 S S 42.6 3.4 5
30 Textiles, leather, and articles of textiles or leather S S 241 0.2 132 0.5 710 S S 31.2 0.2 32.2 0.4 10.9
31 Nonmetallic mineral products 1,230 1.6 7,720 6.7 440 1.8 102 15.5 0.2 12.9 3.3 18.4 1.3 14.9
32 Base metal in prim. or semifin. forms & in finished basic shapes 3,124 4.1 2,750 2.4 669 2.7 S 23 0.6 22.5 0.9 21.2 1.7 S
33 Articles of base metal 2,853 3.8 1,075 0.9 485 2 492 17 0.5 21.9 0.7 26.3 2 13.5
34 Machinery 3,411 4.5 384 0.3 228 0.9 324 19.4 1.6 20.1 0.2 20.7 1 43.6
35 Electronic & other electrical equip & components & office equip 21,173 28.1 502 0.4 214 0.9 736 39 7 20.4 0.1 20.4 0.6 14.8
36 Motorized and other vehicles (including parts) 4,022 5.3 877 0.8 341 1.4 614 16.7 1 17.3 0.4 23.3 1.3 11.4
37 Transportation equipment, nec 997 1.3 46 - S S 497 35.5 0.7 48.8 - S S 19
38 Precision instruments and apparatus 243 0.3 3 - 1 - 669 44.7 0.2 42.6 - 49.4 - 19.5
39 Furniture, mattresses & mattress supports, lamps, lighting 599 0.8 110 0.1 26 0.1 S 28.2 0.3 38.4 - 49.8 0.1 S
40 Miscellaneous manufactured products 2,278 3 S S 136 0.6 920 44.2 1.2 S S 40.9 0.4 15.3
41 Waste and scrap 262 0.3 802 0.7 395 1.6 232 35.9 0.4 35.8 1.8 39 4.1 25.8
43 Mixed freight 5,955 7.9 1,946 1.7 707 2.9 384 21.4 1.4 24.6 0.4 23.5 1.1 8.5
99 Commodity Unknown S S S S S S 37 S S S S S S 10.7

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.