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32. 1997 Economic Census





1324. U.S. Exports and Imports for Consumption of Merchandise, by Customs District

[In billions of dollars (220.8 represents $220,800,000,000). Exports are f.a.s. (free alongside ship) vlue all years; imports are on customs value basis for years 1985 to present; f.a.s. value basis for 1980}

 
CUSTOMS Exports Exports Exports Imports for consumption Imports for consumption Imports for consumption
        Customs district DISTRICT
CODE 1980 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 1980 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000
 
    Total 1 00 220.8 213.1 217.3 252.9 320.4 363.8 393.0 421.7 448.2 465.1 512.6 584.7 625.1 689.2 682.1 695.8 244.0 343.6 368.7 402.1 437.1 468.0 490.6 482.1 525.3 575.1 657.3 738.6 789.9 861.7 905.7 1,016.9
 
Anchorage, AK 31 1.0 1.3 1.3 1.7 2.2 2.6 3.7 4.6 5.1 4.8 5.3 5.9 6.1 7.6 7.7 8.8 0.2 0.2 0.3 0.1 0.2 0.4 0.7 0.9 1.3 2.0 3.6 5.7 6.9 7.2 7.3 9.2
Baltimore, MD 13 9.0 5.5 4.9 5.4 6.8 7.7 6.7 8.0 7.7 7.6 8.2 9.0 8.3 7.6 6.6 5.9 6.0 8.8 11.0 11.8 12.1 11.8 11.2 10.1 10.8 11.7 13.4 14.4 14.0 14.7 16.3 17.7
Boston, 04 0.8 3.0 3.8 4.4 5.7 6.2 5.6 4.3 4.4 4.4 4.7 4.6 5.0 5.7 6.0 6.8 5.0 8.2 9.2 12.0 12.6 12.0 12.2 11.8 12.0 11.7 12.6 13.4 13.7 14.7 14.7 16.0
Buffalo, NY 09 6.3 8.4 8.2 9.5 10.5 9.5 15.8 15.8 18.1 19.5 21.3 30.5 32.3 39.2 38.8 37.5 7.4 14.7 15.5 15.4 18.1 19.0 19.2 18.7 21.2 24.2 27.0 29.1 29.3 30.4 35.4 39.7
Charleston, SC 2 16 3.1 2.9 3.0 3.6 5.0 6.2 6.7 7.2 7.3 7.3 7.9 10.1 10.8 12.3 11.9 11.5 1.8 3.3 4.9 5.9 6.1 6.5 6.8 6.3 6.6 7.5 8.6 10.4 11.6 12.3 14.0 14.5
Chicago, IL 39 4.2 5.4 6.1 6.9 8.7 10.0 10.2 11.3 11.9 13.1 15.2 18.4 18.7 19.6 19.2 19.1 4.1 11.4 12.3 13.8 16.1 17.4 18.3 19.3 22.4 25.1 28.5 31.3 33.5 37.1 38.5 43.1
Cleveland, OH 41 1.8 2.1 2.7 3.4 3.4 3.9 4.0 4.0 4.1 4.3 5.3 7.8 10.2 14.0 15.1 17.5 1.5 3.8 5.4 7.3 8.3 9.2 11.3 11.8 13.8 15.5 18.2 21.7 23.6 26.2 27.4 29.7
Dallas/Fort Worth, TX 55 0.5 1.0 1.2 1.5 2.1 2.7 3.4 2.6 3.9 4.2 4.1 4.4 3.8 5.3 5.9 8.4 1.2 2.4 3.2 3.3 4.1 4.1 4.8 4.9 5.3 6.3 7.7 8.8 9.8 11.4 12.7 15.2
Detroit, MI 38 14.6 22.8 21.3 26.6 30.1 28.9 35.6 36.2 37.8 44.7 54.4 56.8 60.8 66.7 69.8 77.6 12.7 27.4 27.9 29.7 35.7 38.7 37.8 37.6 41.9 47.6 58.1 64.7 69.4 75.7 76.4 87.9
Duluth, MN 36 1.5 0.9 0.8 0.7 1.2 1.2 0.8 0.8 0.9 0.9 1.1 1.4 1.5 1.4 1.5 1.5 3.0 3.0 2.4 2.9 3.2 3.5 3.9 3.3 3.6 4.1 4.7 6.0 6.5 6.5 5.0 5.5
El Paso, TX 24 1.8 2.1 2.3 2.6 3.8 4.0 3.9 4.7 6.0 6.5 7.4 7.9 9.6 10.2 11.4 13.2 1.4 2.5 3.0 3.4 4.5 5.1 5.0 5.5 6.5 8.1 11.2 12.9 13.6 14.9 17.4 20.9
Great Falls, MT 33 1.8 1.5 1.1 1.2 1.6 1.8 2.4 3.3 3.2 3.5 3.2 3.0 3.2 4.3 4.3 4.3 3.2 4.0 3.3 3.7 4.0 4.1 4.7 4.6 4.9 5.9 7.1 6.9 8.0 8.9 8.7 11.0
Honolulu, HI 32 0.2 0.4 0.2 0.4 0.6 0.5 0.5 0.6 0.6 1.1 1.0 1.1 1.3 1.6 1.0 1.2 1.8 1.6 1.4 1.6 1.6 1.7 2.1 1.9 2.1 2.2 2.5 2.7 2.7 2.7 2.2 2.3
Houston/Galveston, TX 53 15.7 12.5 11.2 12.5 15.9 17.4 17.6 20.4 20.2 19.9 21.2 27.4 27.1 28.5 27.9 25.7 20.1 17.3 14.5 16.0 16.7 18.2 21.6 19.2 18.7 19.7 21.9 23.4 28.2 28.9 26.5 27.8
Laredo, TX 23 8.3 7.2 6.3 7.5 10.6 13.4 15.2 18.2 21.7 22.7 28.3 24.3 29.7 39.1 41.9 45.2 2.7 4.8 5.7 6.8 7.9 9.4 10.0 10.4 11.8 13.7 17.5 24.7 31.9 38.1 41.9 51.1
Los Angeles, CA 27 14.8 19.5 19.9 23.7 32.0 38.6 42.1 46.1 49.4 48.3 55.8 67.0 69.0 74.2 63.7 66.4 20.0 44.1 48.5 53.6 58.0 62.3 64.1 66.4 72.1 79.4 89.4 96.3 99.9 110.3 115.9 128.8
Miami, FL 52 6.9 6.1 7.2 8.1 9.9 10.4 11.2 13.4 16.0 17.1 19.5 22.7 24.5 29.5 30.2 28.5 2.6 4.4 5.2 5.7 6.0 6.2 7.1 7.3 8.4 9.4 10.3 11.9 13.5 16.2 18.5 21.4
Milwaukee, WI 37 0.4 0.2 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.1 0.4 1.0 0.9 0.9 1.1 0.9 1.1 1.1 1.2 1.2 1.4 1.5 1.4 1.5 1.7 1.5
Minneapolis, MN 35 0.1 0.2 0.2 0.3 0.5 0.8 0.9 0.9 1.1 1.1 1.3 1.3 1.4 1.6 1.1 1.2 0.3 1.0 1.2 1.4 1.6 1.9 2.0 2.2 2.7 2.5 2.6 2.8 3.3 3.7 4.1 4.0
Mobile, AL 2 19 2.6 1.1 1.3 1.4 1.4 1.9 1.9 2.2 2.2 2.1 2.7 3.4 3.4 3.8 4.0 3.3 3.0 2.8 2.3 2.9 2.8 3.4 3.4 3.3 3.2 3.1 3.8 3.9 4.9 4.8 4.9 5.5
New Orleans, LA 20 19.5 13.9 13.1 14.0 16.9 18.5 18.0 18.9 20.2 19.8 20.7 28.4 31.0 30.4 27.8 28.8 22.5 14.7 14.8 15.9 17.1 20.6 24.1 22.0 23.3 24.7 29.1 34.4 35.4 35.4 36.3 40.2
New York, NY 10 38.9 28.5 33.4 32.8 42.4 47.0 50.9 54.6 53.3 58.7 56.4 61.4 61.9 67.1 67.7 67.2 43.4 60.5 67.0 68.4 69.7 70.4 68.0 67.3 72.8 75.6 81.8 87.6 93.4 103.1 112.2 122.1
Nogales, AZ 26 0.8 0.8 0.8 1.0 1.3 1.5 2.1 2.2 2.8 3.0 4.1 4.0 4.2 4.9 6.5 5.6 1.2 2.0 2.4 3.1 3.2 3.7 4.2 4.3 4.6 5.7 7.5 7.7 7.2 8.6 10.5 11.6
Norfolk, VA 2 14 8.0 5.4 5.3 5.5 7.3 9.4 11.7 11.5 11.9 11.0 12.4 14.4 15.2 16.1 15.1 12.9 4.7 6.0 5.8 6.3 7.0 6.8 7.4 7.4 7.5 7.3 7.9 8.6 9.4 9.9 10.9 12.1
Ogdensburg, NY 07 3.8 4.1 4.4 4.7 5.3 5.6 7.9 7.5 7.9 8.0 8.9 9.2 9.9 10.6 10.6 11.0 4.6 6.8 7.5 7.9 8.5 9.2 9.8 9.9 10.0 11.4 12.3 14.4 15.9 17.4 18.3 19.8
Pembina, ND 34 2.3 2.2 2.3 2.5 2.8 3.4 3.4 4.3 4.3 4.8 5.9 5.5 5.9 7.1 7.4 6.9 3.0 3.2 2.6 2.7 3.3 3.9 4.1 4.1 4.5 5.3 6.1 7.2 7.4 7.7 8.1 8.8
Philadelphia, PA 11 3.2 2.0 1.9 2.4 3.4 3.9 4.0 4.3 4.4 4.4 5.1 6.7 9.2 7.7 7.5 6.9 15.6 15.8 13.7 15.6 15.6 16.0 18.3 16.1 16.4 16.1 16.8 18.3 19.0 19.0 19.3 21.3
Port Arthur, TX 21 2.0 0.8 0.8 0.9 1.1 1.2 0.9 0.7 0.8 0.9 0.9 1.3 1.0 1.3 1.0 0.9 9.4 2.7 1.3 1.9 1.8 2.8 3.2 2.8 3.1 3.8 4.0 4.8 6.0 6.4 4.6 6.2
Portland, ME 01 4.3 0.6 0.6 0.8 1.0 1.2 1.7 2.2 1.9 2.3 2.0 2.1 2.1 2.1 2.1 2.4 1.6 2.3 2.7 3.3 3.4 3.5 4.3 3.8 4.0 4.0 4.3 4.4 5.2 5.3 5.2 6.9
Portland, OR 29 3.8 3.5 3.2 3.7 5.6 6.2 5.8 5.9 7.2 7.3 8.1 10.2 10.0 8.5 7.1 7.5 2.6 3.8 4.7 4.6 5.8 5.7 5.6 5.3 5.1 5.7 7.0 7.9 7.5 9.6 9.7 10.9
Providence, RI 05 2.7 0.1 (Z) (Z) (Z) (Z) (Z) (Z) (Z) 0.1 0.1 0.1 0.0 0.1 0.0 0.0 1.5 2.3 2.7 1.6 1.5 1.4 1.3 1.1 1.1 1.1 0.9 0.9 1.3 1.3 1.0 1.2
San Diego, CA 25 1.4 1.6 1.5 1.7 2.5 3.0 3.4 3.9 4.6 4.5 5.6 6.1 7.5 9.0 9.8 10.7 1.0 1.8 2.2 2.7 3.4 4.0 4.3 4.7 5.5 6.2 7.4 8.9 11.0 14.0 16.4 19.0
San Francisco, CA 28 10.6 11.3 11.4 14.3 19.1 21.4 23.1 23.9 27.2 29.4 34.2 43.7 47.8 48.1 42.7 44.8 8.3 15.5 19.1 21.8 25.1 27.1 28.0 29.2 33.1 38.8 46.2 58.8 57.7 58.7 55.5 59.1
San Juan, PR 49 0.9 1.2 1.3 1.4 1.7 2.1 2.5 2.4 2.5 2.7 2.6 2.6 2.5 2.8 3.4 4.8 3.7 4.0 3.8 3.9 4.1 4.7 5.4 4.8 5.1 4.9 5.7 6.8 7.2 8.0 8.4 10.8
Savannah, GA 17 2.4 3.4 3.8 4.4 6.0 6.8 7.4 8.4 8.9 8.7 9.3 10.9 10.9 13.4 13.5 13.9 2.2 5.1 6.4 7.4 8.3 4.5 9.8 10.1 11.3 12.9 13.3 14.7 16.1 18.0 19.6 21.8
Seattle, WA 30 12.0 12.1 14.9 15.7 20.9 26.6 32.6 35.0 35.4 35.0 33.1 31.4 37.1 44.8 47.2 44.7 9.2 13.4 15.3 17.2 17.8 20.2 20.9 18.8 20.4 21.8 23.6 24.1 25.1 30.1 32.3 36.8
St. Albans, VT 02 0.7 1.1 1.3 1.6 1.9 2.7 4.0 4.1 4.0 3.8 4.1 4.4 4.1 3.0 3.3 4.3 1.6 2.7 2.7 3.2 3.6 4.2 5.2 5.2 5.2 5.5 6.2 7.4 7.9 8.1 8.3 8.6
St. Louis, MO 45 0.2 0.1 0.2 0.2 0.2 0.5 0.3 0.4 0.7 0.3 0.3 0.3 1.6 1.3 2.0 1.9 0.9 1.6 2.0 2.3 2.7 3.0 3.0 2.8 3.4 3.9 4.3 4.4 4.8 5.7 6.3 6.6
Tampa, FL 18 2.8 2.8 2.1 2.7 3.6 4.0 4.3 5.2 5.2 4.7 5.7 6.7 6.9 7.4 7.4 5.6 3.7 6.6 7.6 7.4 7.3 6.7 7.0 6.8 7.0 7.3 9.1 9.2 9.2 9.4 11.6 13.6
Virgin Islands of the U.S. 51 0.1 0.1 (Z) 0.1 0.1 0.1 0.2 0.2 0.1 0.2 0.2 0.2 0.2 0.2 0.2 0.2 4.1 1.7 1.2 1.7 1.0 1.6 2.1 1.7 1.8 1.6 2.1 2.1 2.8 3.3 2.3 2.9
Washington, DC 54 0.3 0.5 (Z) 0.5 0.7 1.1 1.1 1.6 1.6 1.9 2.0 2.3 2.1 2.2 2.3 2.7 0.4 0.5 0.8 0.7 0.8 0.7 0.8 0.7 0.8 0.8 0.9 1.2 1.3 1.6 1.8 2.0
Wilmington, NC 15 1.3 1.3 1.2 1.1 1.4 2.1 3.0 2.8 3.9 3.0 3.9 4.4 4.2 4.0 3.9 2.6 1.1 1.9 2.4 2.5 2.9 3.0 3.3 3.4 4.5 5.6 6.0 7.4 7.6 8.9 8.8 9.9
 
SAV/WLM 58 (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) 0.0 0.0 0.0 0.0 0.0 0.0 0.0 (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X)
N-M-C 59 (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) 2.0 1.8 2.2 2.3 2.2 1.9 1.2 (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X)
VESSELS 60 (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) 0.1 0.2 0.1 0.1 0.2 0.2 0.1 (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) 0.0 0.0 0.0 0.0 0.0 0.0 0.0
LV EST 70 (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) 15.2 16.9 18.6 20.2 22.5 23.5 24.3 (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) 4.2 4.6 5.2 5.5 6.0 8.5 11.8
MAIL 80 (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) (NA) 0.2 0.1 0.1 0.1 0.1 0.0 0.0 (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X) (X)




Z Less than $50 million.
1 Totals shown for exports reflect the value of estimated parcel post and Special Category shipments, and beginning 1987, adjustments for undocumented exports to Canada are not distributed by coastal area or customs district. Beginning 1985, the value of bituminous coal exported through Norfolk, VA; Charleston, SC; and Mobile, AL is reflected in the total but not distributed by district.
2 Beginning 1985, excludes exports of bituminous coal.

Source: U.S. Census Bureau 1980-1988, U.S. Highlights of Export and Import Trade, series FT 990; 1989-1990, U.S. Merchandise Trade: Selected Highlights, series FT 920; and beginning 1991, U.S. Export History and U.S. Import History on compact disc.

http://www.census.gov/foreign-trade/www/

* FOREIGN TRADE DATA COLLECTION

CENSUS BASIS

The Census basis goods data are compiled from the documents collected by the U.S. Customs Service and reflect the movement of goods between foreign countries and the 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and U.S. Foreign Trade Zones. They include government and non-government shipments of goods, and exclude shipments between the United States and its territories and possessions, transactions with U.S. military, diplomatic and consular installations abroad, U.S. goods returned to the United States by its Armed Forces, personal and household effects of travelers, and in-transit shipments. The General imports value reflects the total arrival of merchandise from foreign countries that immediately enters consumption channels, warehouses, or Foreign Trade Zones.

For imports, the value reported is the U. S. Customs Service appraised value of merchandise; generally, the price paid for merchandise for export to the United States. Import duties, freight, insurance, and other charges incurred in bringing merchandise to the United States are excluded.

Exports are valued at the f.a.s.- free alongside ship value of merchandise at the U.S. port of export, based on the transaction price including inland freight, insurance and other charges incurred in placing the merchandise alongside the carrier at the U.S. port of exportation.

CUSTOMS DISTRICTS

District and Port Classification

The names and codes of the Customs districts and ports are listed in Schedule D, Classification of U.S. Customs Districts and Ports for Foreign Trade Statistics. The geographical limits of each district are published in the U.S. Customs Regulations. Schedule D is published as a statistical annex in HTSUSA and as a part of Schedule B.

District of Exportation

Vessel or air - the Customs district in which the merchandise is loaded on the vessel or aircraft which takes the merchandise out of the country.

Rail, truck, pipeline, or other overland transportation - the Customs district through which the merchandise crosses the U.S. border into foreign territory.

Aircraft exported under their own power are credited to the Customs district from which they are flown out of the United States.

Import District of Entry

The district in which merchandise clears Customs for entry into consumption channels, bonded warehouses or Foreign Trade Zones.

Import District of Unlading

The district where merchandise is unloaded from the importing vessel or aircraft.

Statistical Presentation

Abbreviated Customs district designations are used instead of complete names in the foreign trade program. Numerical codes are used for automated purposes. Alphabetic abbreviations are used for published reports.

Special Districts

The following types of shipments are included for statistical purposes in special Customs districts and are not reported by geographical location of the individual Customs district of entry or exportation:

Vessels under their own power or afloat (imports and exports)

Low-valued imports and exports (See discussion of Low-Valued Statistics below)

Mail shipments (exports only)

Norfolk, VA-Charleston, SC-Mobile, AL (Exports of bituminous coal). See discussion of Customs Districts under Sources of Error.

Wilmington, NC-Savannah, GA (Exports of cotton linter pulp). See discussion of Customs Districts under Sources of Error. *



https://allcountries.org/uscensus/1324_u_s_exports_and_imports_for.html

These tables are based on figures supplied by the United States Census Bureau, U.S. Department of Commerce and are subject to revision by the Census Bureau.

Copyright © 2006 Photius Coutsoukis and Information Technology Associates, all rights reserved.