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Table 8. Inbound Shipment Characteristics by Origin for CBSA of Destination: 2002

Monday, July 2, 2012

Table 8. Inbound Shipment Characteristics by Origin for CBSA of Destination: 2002

[Estimates are based on data from the Commodity Flow Survey. Because of rounding, estimates may not be additive]

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Origin CBSAs Value Tons Ton-miles1
2002
(million $)		 Percent of total 2002
(thousands)		 Percent of total 2002
(millions)		 Percent of total
Total 172,276 100.0 94,396 100.0 35,897 100.0
Alabama S S S S 507 1.4
Birmingham-Hoover-Cullman, AL CSA S S S S S S
Remainder of Alabama 231 0.1 82 – S S
Alaska 575 0.3 373 0.4 396 1.1
Arizona 1,366 0.8 95 0.1 141 0.4
Phoenix-Mesa-Scottsdale, AZ MeSA 1,228 0.7 70 – 106 0.3
Tucson, AZ MeSA 100 – 2 – 3 –
Remainder of Arizona 38 – 23 – 32 –
Arkansas 758 0.4 360 0.4 813 2.3
California 16,545 9.6 3,245 3.4 3,266 9.1
Los Angeles-Long Beach-Riverside, CA CSA 9,556 5.5 1,559 1.7 1,806 5.0
San Diego-Carlsbad-San Marcos, CA MeSA 893 0.5 63 – 77 0.2
Sacramento--Arden-Arcade--Truckee, CA-NV CSA (CA Part) 443 0.3 122 0.1 92 0.3
San Jose-San Francisco-Oakland, CA CSA 4,000 2.3 737 0.8 623 1.7
Remainder of California 1,653 1.0 765 0.8 668 1.9
Colorado 514 0.3 212 0.2 304 0.8
Denver-Aurora-Boulder, CO CSA 345 0.2 145 0.2 201 0.6
Remainder of Colorado 169 0.1 67 – 102 0.3
Connecticut 226 0.1 9 – 26 –
New York-Newark-Bridgeport, NY-NJ-CT-PA CSA (CT Part) 575 0.3 373 0.4 396 1.1
New York-Newark-Bridgeport, NY-NJ-CT-PA CSA (CT Part) 115 – 4 – 11 –
Remainder of Connecticut 111 – 5 – 15 –
Delaware 90 – 15 – 45 0.1
District of Columbia S S – – – –
Washington-Arlington-Alexandria, DC-VA-MD-WV MeSA (DC Part) S S – – – –
Florida 962 0.6 102 0.1 329 0.9
Jacksonville, FL MeSA 41 – 5 – 14 –
Miami-Fort Lauderdale-Miami Beach, FL MeSA 273 0.2 S S S S
Orlando-The Villages, FL CSA 91 – 15 – 49 0.1
Tampa-St Petersburg-Clearwater, FL MeSA 205 0.1 S S S S
Remainder of Florida S S S S S S
Georgia 882 0.5 176 0.2 490 1.4
Atlanta-Sandy Springs-Gainesville, GA-AL CSA (GA Part) 216 0.1 S S S S
Remainder of Georgia 665 0.4 121 0.1 332 0.9
Hawaii S S S S S S
Honolulu, HI MeSA S S S S S S
Remainder of Hawaii S S S S S S
Idaho 664 0.4 505 0.5 276 0.8
Illinois 1,477 0.9 289 0.3 616 1.7
Chicago-Naperville-Michigan City, IL-IN-WI CSA (IL Part) 880 0.5 121 0.1 259 0.7
St Louis, MO-IL MeSA (IL Part) S S S S S S
Remainder of Illinois 569 0.3 121 0.1 256 0.7
Indiana 1,162 0.7 392 0.4 908 2.5
Chicago-Naperville-Michigan City, IL-IN-WI CSA (IN Part) 7 – 1 – 3 –
Indianapolis-Anderson-Columbus, IN CSA 411 0.2 S S S S
Remainder of Indiana 744 0.4 266 0.3 619 1.7
Iowa 1,108 0.6 164 0.2 312 0.9
Kansas S S 160 0.2 304 0.8
Kansas City, MO-KS MeSA (KS Part) 162 – 38 – 74 0.2
Remainder of Kansas S S 123 0.1 230 0.6
Kentucky 758 0.4 360 0.4 813 2.3
Kentucky 622 0.4 152 0.2 374 1.0
Louisville-Elizabethtown-Scottsburg, KY-IN CSA (KY Part) 146 – 20 – 50 0.1
Remainder of Kentucky 476 0.3 132 0.1 323 0.9
Louisiana 287 0.2 S S S S
New Orleans-Metairie-Bogalusa, LA CSA S S S S S S
Remainder of Louisiana S S 40 – 102 0.3
Maine 111 – 11 – 35 0.1
Maryland 315 0.2 47 – 133 0.4
Baltimore-Towson, MD MeSA 224 0.1 31 – 89 0.2
Washington-Arlington-Alexandria, DC-VA-MD-WV MeSA (MD Part) S S S S S S
Remainder of Maryland 58 – S S S S
Massachusetts S S 60 – 186 0.5
Boston-Worcester-Manchester, MA-NH CSA (MA Part) 315 0.2 35 – 106 0.3
Remainder of Massachusetts S S S S S S
Michigan 1,212 0.7 238 0.3 569 1.6
Detroit-Warren-Flint, MI CSA 485 0.3 138 0.1 343 1.0
Grand Rapids-Wyoming-Holland, MI CSA 407 0.2 60 – 136 0.4
Remainder of Michigan 321 0.2 40 – 91 0.3
Minnesota 1,400 0.8 4,298 4.6 8,215 22.9
Minneapolis-St Paul-St Cloud, MN-WI CSA (MN Part) 763 0.4 142 0.2 245 0.7
Remainder of Minnesota 637 0.4 4,156 4.4 7,970 22.2
Mississippi S S 102 0.1 261 0.7
Missouri 883 0.5 209 0.2 447 1.2
Kansas City, MO-KS MeSA (MO Part) S S S S S S
St Louis-St Charles-Farmington, MO-IL CSA (MO Part) 184 0.1 133 0.1 294 0.8
Remainder of Missouri S S 44 – 89 0.2
Montana 144 – 186 0.2 119 0.3
Nebraska 501 0.3 292 0.3 533 1.5
Nevada 1,142 0.7 318 0.3 310 0.9
Las Vegas-Paradise-Pahrump, NV CSA 111 – 105 0.1 123 0.3
Remainder of Nevada 1,032 0.6 213 0.2 S S
New Hampshire 263 0.2 S S S S
New Jersey 1,228 0.7 217 0.2 639 1.8
New York-Newark-Bridgeport, NY-NJ-CT-PA CSA (NJ Part) 1,171 0.7 203 0.2 597 1.7
Philadelphia-Camden-Vineland, PA-NJ-DE-MD CSA (NJ Part) 57 – S S S S
Remainder of New Jersey S S S S S S
New Mexico S S S S S S
New York 1,817 1.1 200 0.2 585 1.6
Albany-Schenectady-Amsterdam, NY CSA 84 – 32 – 97 0.3
Buffalo-Cheektowaga-Tonawanda, NY MeSA 200 0.1 S S S S
New York-Newark-Bridgeport, NY-NJ-CT-PA CSA (NY Part) S S S S S S
Rochester-Batavia-Seneca Falls, NY CSA S S 5 – 13 –
Remainder of New York 150 – S S S S
North Carolina 1,092 0.6 140 0.1 401 1.1
Charlotte-Gastonia-Salisbury, NC-SC CSA (NC Part) 165 0.1 19 – 54 0.1
Greensboro--Winston-Salem--High Point, NC CSA 339 0.2 15 – 43 0.1
Raleigh-Durham-Cary, NC CSA 157 – 19 – 55 0.2
Remainder of North Carolina 430 0.2 87 – 250 0.7
North Dakota 103 – 327 0.3 504 1.4
Ohio 1,931 1.1 619 0.7 1,563 4.4
Cincinnati-Middletown-Wilmington, OH-KY-IN CSA (OH Part) 90 – 15 – 45 0.1
Cincinnati-Middletown-Wilmington, OH-KY-IN CSA (OH Part) 257 0.1 73 – 177 0.5
Cleveland-Akron-Elyria, OH CSA 785 0.5 181 0.2 461 1.3
Columbus-Marion-Chillicothe, OH CSA 403 0.2 127 0.1 323 0.9
Dayton-Springfield-Greenville, OH CSA 50 – S S S S
Remainder of Ohio 436 0.3 236 0.3 598 1.7
Oklahoma 315 0.2 60 – 130 0.4
Oklahoma City-Shawnee, OK CSA 80 – 8 – 17 –
Tulsa-Bartlesville, OK CSA 198 0.1 17 – 35 0.1
Remainder of Oklahoma 37 – 36 – 78 0.2
Oregon 9,049 5.3 5,154 5.5 1,062 3.0
Portland-Vancouver-Beaverton, OR-WA MeSA (OR Part) 7,187 4.2 3,770 4.0 655 1.8
Remainder of Oregon 1,862 1.1 1,384 1.5 406 1.1
Pennsylvania 1,347 0.8 113 0.1 305 0.8
Philadelphia-Camden-Vineland, PA-NJ-DE-MD CSA (PA Part) 310 0.2 14 – 39 0.1
Pittsburgh-New Castle, PA CSA S S S S S S
Remainder of Pennsylvania 347 0.2 54 – 149 0.4
Rhode Island S S S S S S
South Carolina 202 0.1 33 – 95 0.3
Greenville-Anderson-Seneca, SC CSA 86 – 15 – 41 0.1
Spartanburg-Gaffney-Union, SC CSA S S S S S S
Remainder of South Carolina 76 – 15 – 43 0.1
South Dakota 93 – S S S S
Tennessee 2,150 1.2 188 0.2 485 1.4
Memphis, TN-MS-AR MeSA (TN Part) S S 13 – 32 –
Nashville-Davidson--Murfreesboro--Columbia, TN CSA S S S S S S
Remainder of Tennessee 551 0.3 149 0.2 391 1.1
Texas 3,273 1.9 595 0.6 1,416 3.9
Austin-Round Rock, TX MeSA S S 9 – 19 –
Dallas-Fort Worth, TX CSA 1,550 0.9 66 – 143 0.4
Houston-Baytown-Huntsville, TX CSA S S 198 0.2 501 1.4
San Antonio, TX MeSA 46 – 5 – 12 –
Remainder of Texas 329 0.2 S S S S
Utah 1,003 0.6 1,182 1.3 1,145 3.2
Salt Lake City-Ogden-Clearfield, UT CSA 828 0.5 599 0.6 499 1.4
Remainder of Utah 175 0.1 S S S S
Vermont 78 – 5 – 15 –
Virginia S S 67 – S S
Richmond, VA MeSA S S S S S S
Virginia Beach-Norfolk-Newport News, VA-NC MeSA (VA Part) 23 – 1 – 3 –
Washington-Baltimore-Northern Virginia, DC-MD-VA-WV CSA (VA Part) 32 – 15 – 42 0.1
Remainder of Virginia 116 – 15 – 41 0.1
Washington 97,088 56.4 71,581 75.8 3,742 10.4
Seattle-Tacoma-Olympia, WA CSA 88,878 51.6 42,352 44.9 880 2.5
Remainder of Washington 8,210 4.8 29,229 31.0 2,863 8.0
West Virginia 96 – 64 – 172 0.5
Wisconsin 1,526 0.9 697 0.7 1,417 3.9
Milwaukee-Racine-Waukesha, WI CSA S S 64 – 130 0.4
Remainder of Wisconsin 1,097 0.6 632 0.7 1,287 3.6
Wyoming 51 – S S S S

KEY:
– Represents data cell equal to zero or less than 1 unit of measure.
S Estimate does not meet publication standards because of high sampling variability or poor response quality.

1 Ton-miles estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional information.

NOTES: Value-of-shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs.
Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years.

SOURCE: Bureau of Transportation Statistics (USDOT) and U.S. Census Bureau, 2002 Commodity Flow Survey, Metropolitan Data, December 2004.