end of header
Foreign Trade
You are here: Census.gov › Business & Industry › Foreign Trade › U.S. International Trade Data
FT920: U.S. Merchandise Trade Selected Highlights - October 2014
View this exhibit as: [PDF] or [XLS]
Exhibit 4: U.S. General Imports - U.S. District of Unlading and Method of Transportation(X) Not Applicable. (-) Represents zero or less than one-half of unit of measurement shown. | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| District Code & Description | Total Value | Vessel Data | Air Data | C.I.F. Value | |||||||||
| October 2014 | Year-to-date 2014 | October 2014 | Year-to-date 2014 | ||||||||||
| October 2014 | Year-to-date 2014 | Value | Shipping Weight | Value | Shipping Weight | Value | Shipping Weight | Value | Shipping Weight | October 2014 | Year-to-date 2014 | ||
| Total | 211,264.0 | 1,960,620.0 | 102,107.5 | 57,374.5 | 971,139.6 | 565,259.8 | 50,043.6 | 381.1 | 443,921.6 | 3,331.3 | 217,064.4 | 2,014,495.8 | |
| 01 | Portland, ME | 1,190.6 | 12,899.8 | 288.4 | 500.9 | 3,642.7 | 5,378.1 | 52.6 | 0.2 | 371.8 | 1.6 | 1,208.1 | 13,112.0 |
| 02 | St. Albans, VT | 819.2 | 8,372.3 | (-) | (-) | (-) | (-) | 94.8 | 0.1 | 750.5 | 0.5 | 830.0 | 8,530.2 |
| 04 | Boston, MA | 1,498.0 | 16,561.0 | 815.9 | 647.7 | 10,245.9 | 10,861.0 | 604.7 | 5.0 | 5,536.4 | 42.5 | 1,540.9 | 16,999.1 |
| 05 | Providence, RI | 743.2 | 6,649.2 | 743.1 | 359.6 | 6,648.6 | 2,927.2 | (-) | (-) | 0.0 | 0.0 | 758.9 | 6,776.1 |
| 07 | Ogdensburg, NY | 2,586.4 | 24,841.0 | 0.5 | 26.1 | 9.4 | 26.5 | 1.1 | 0.0 | 12.8 | 0.2 | 2,618.4 | 25,291.4 |
| 09 | Buffalo, NY | 4,002.0 | 36,783.3 | 58.5 | 64.1 | 352.9 | 553.4 | 9.9 | 0.1 | 106.7 | 0.5 | 4,070.7 | 37,466.2 |
| 10 | New York City, NY | 24,635.4 | 224,100.4 | 14,000.9 | 4,695.4 | 130,433.5 | 46,731.1 | 10,515.6 | 62.0 | 92,393.2 | 551.4 | 25,399.5 | 231,033.6 |
| 11 | Philadelphia, PA | 4,128.1 | 38,619.2 | 3,031.6 | 3,289.5 | 29,370.2 | 29,071.7 | 1,065.9 | 5.5 | 8,796.4 | 52.8 | 4,258.3 | 39,980.6 |
| 13 | Baltimore, MD | 2,943.1 | 27,895.6 | 2,932.4 | 909.3 | 27,782.1 | 9,326.6 | 8.1 | 0.1 | 70.4 | 0.8 | 3,032.2 | 28,725.8 |
| 14 | Norfolk, VA | 3,882.8 | 34,454.8 | 3,881.0 | 791.0 | 34,413.6 | 8,320.2 | 0.6 | 0.0 | 2.5 | 0.1 | 4,047.2 | 35,892.3 |
| 15 | Wilmington, NC | 677.1 | 6,993.0 | 509.4 | 300.9 | 4,688.5 | 3,436.5 | 153.3 | 1.5 | 1,765.2 | 15.3 | 704.9 | 7,264.1 |
| 16 | Charleston, SC | 4,215.9 | 39,241.4 | 4,004.6 | 928.0 | 37,907.7 | 8,397.9 | 55.9 | 0.1 | 293.7 | 1.3 | 4,342.6 | 40,358.7 |
| 17 | Savannah, GA | 8,136.0 | 73,445.1 | 6,415.2 | 1,382.7 | 56,362.7 | 12,726.1 | 1,718.9 | 17.4 | 16,997.1 | 166.2 | 8,457.7 | 76,149.3 |
| 18 | Tampa, FL | 1,775.4 | 16,681.6 | 1,626.9 | 1,271.5 | 15,474.1 | 14,980.6 | 137.9 | 2.0 | 1,078.1 | 16.3 | 1,840.4 | 17,301.7 |
| 19 | Mobile, AL | 1,920.3 | 17,847.2 | 1,618.1 | 2,442.6 | 15,275.5 | 23,751.0 | 299.3 | 2.5 | 2,537.6 | 21.9 | 1,987.9 | 18,433.4 |
| 20 | New Orleans, LA | 9,256.3 | 96,421.4 | 5,382.8 | 9,148.1 | 56,247.2 | 89,391.1 | 3,543.9 | 17.7 | 35,252.7 | 161.0 | 9,508.2 | 98,965.7 |
| 21 | Port Arthur, TX | 2,042.8 | 26,196.2 | 1,786.5 | 3,000.6 | 24,463.4 | 36,802.6 | (-) | (-) | 0.1 | 0.0 | 2,111.3 | 26,988.4 |
| 23 | Laredo, TX | 14,334.1 | 129,667.0 | 12.3 | 73.0 | 320.1 | 663.0 | 10.3 | 0.6 | 100.5 | 4.9 | 14,466.2 | 130,902.7 |
| 24 | El Paso, TX | 4,494.2 | 39,391.3 | (-) | (-) | (-) | (-) | 26.8 | 0.1 | 233.4 | 1.1 | 4,508.0 | 39,509.6 |
| 25 | San Diego, CA | 4,259.5 | 34,982.0 | 625.7 | 79.0 | 5,793.8 | 925.0 | 23.5 | 0.4 | 189.8 | 3.7 | 4,289.1 | 35,253.2 |
| 26 | Nogales, AZ | 1,772.0 | 16,162.2 | (-) | (-) | (-) | (-) | 34.8 | 0.3 | 498.5 | 2.6 | 1,789.2 | 16,399.4 |
| 27 | Los Angeles, CA | 34,952.9 | 319,099.3 | 30,415.7 | 7,146.7 | 279,644.6 | 67,824.4 | 4,467.4 | 46.1 | 38,244.5 | 409.5 | 36,312.3 | 331,537.4 |
| 28 | San Francisco, CA | 6,932.5 | 63,325.1 | 4,477.0 | 2,989.6 | 41,953.5 | 28,807.0 | 2,443.7 | 13.7 | 21,112.4 | 120.4 | 7,139.4 | 65,255.1 |
| 29 | Columbia-Snake | 903.4 | 9,132.1 | 789.5 | 588.4 | 8,336.5 | 4,925.4 | 78.5 | 0.3 | 484.4 | 2.8 | 934.0 | 9,459.4 |
| 30 | Seattle, WA | 8,257.0 | 74,362.4 | 5,578.9 | 1,649.7 | 49,962.1 | 15,139.8 | 574.9 | 5.3 | 5,812.3 | 47.0 | 8,524.6 | 76,834.0 |
| 31 | Anchorage, AK | 4,123.2 | 32,114.8 | 166.9 | 208.7 | 1,045.8 | 1,307.4 | 3,846.7 | 17.1 | 30,443.4 | 133.4 | 4,210.0 | 32,826.6 |
| 32 | Honolulu, HI | 782.6 | 6,565.7 | 466.8 | 643.2 | 3,671.3 | 4,966.1 | 306.1 | 4.1 | 2,778.4 | 34.9 | 820.3 | 6,857.1 |
| 33 | Great Falls, MT | 2,094.8 | 20,153.3 | (-) | (-) | (-) | (-) | 79.1 | 1.0 | 889.7 | 8.9 | 2,166.9 | 20,894.4 |
| 34 | Pembina, ND | 1,872.3 | 16,804.0 | 0.1 | 0.0 | 5.8 | 0.4 | 0.2 | 0.0 | 1.1 | 0.1 | 1,908.1 | 17,088.3 |
| 35 | Minneapolis, MN | 1,130.2 | 10,621.2 | 4.4 | 58.8 | 93.4 | 409.8 | 140.7 | 1.4 | 1,074.3 | 12.5 | 1,164.4 | 10,961.1 |
| 36 | Duluth, MN | 866.2 | 9,011.9 | 60.6 | 10.9 | 569.1 | 116.7 | 0.0 | 0.0 | 1.4 | 0.0 | 904.8 | 9,429.8 |
| 37 | Milwaukee, WI | 37.1 | 314.3 | 23.0 | 117.4 | 169.8 | 1,664.8 | 0.0 | 0.0 | 8.9 | 0.1 | 38.7 | 328.8 |
| 38 | Detroit, MI | 11,422.3 | 103,160.4 | 94.2 | 624.2 | 706.8 | 3,376.3 | 319.2 | 4.2 | 2,821.4 | 39.4 | 11,574.5 | 104,637.3 |
| 39 | Chicago, IL | 12,570.4 | 111,507.7 | 163.3 | 550.8 | 1,163.2 | 2,918.7 | 8,576.2 | 67.3 | 71,979.6 | 549.4 | 12,882.7 | 114,261.9 |
| 41 | Cleveland, OH | 4,362.6 | 36,188.4 | 182.2 | 567.1 | 1,015.4 | 3,723.2 | 3,661.8 | 16.4 | 29,993.5 | 144.9 | 4,442.4 | 36,824.9 |
| 45 | St. Louis, MO | 546.1 | 7,966.0 | (-) | (-) | (-) | (-) | 1.4 | 0.0 | 264.7 | 0.6 | 558.8 | 8,106.6 |
| 49 | San Juan, PR | 1,732.5 | 17,464.8 | 944.2 | 1,011.9 | 9,281.9 | 10,078.7 | 758.3 | 0.6 | 7,809.3 | 5.4 | 1,767.8 | 17,779.2 |
| 51 | U.S. Virgin Islands | 48.7 | 638.3 | 43.7 | 62.9 | 600.2 | 802.8 | 4.2 | 0.0 | 22.6 | 0.1 | 50.4 | 647.3 |
| 52 | Miami, FL | 4,715.8 | 44,603.4 | 2,298.3 | 780.0 | 22,321.6 | 9,217.3 | 2,132.3 | 56.2 | 20,385.6 | 500.2 | 4,879.6 | 46,076.4 |
| 53 | Houston-Galveston, TX | 9,343.1 | 98,762.3 | 8,663.3 | 10,452.3 | 91,164.5 | 105,709.6 | 672.9 | 8.6 | 7,459.2 | 74.1 | 9,670.9 | 101,979.4 |
| 54 | Washington, DC | 1,150.3 | 8,727.9 | 1.4 | 1.7 | 2.2 | 1.8 | 1,146.4 | 8.9 | 8,699.9 | 76.4 | 1,179.0 | 8,932.3 |
| 55 | Dallas-Fort Worth, TX | 3,085.6 | 31,662.0 | (-) | (-) | (-) | (-) | 2,475.4 | 14.6 | 26,647.4 | 126.8 | 3,143.1 | 32,188.0 |
| 60 | Vessels Under Own Power | 7.7 | 15.9 | (-) | (-) | (-) | (-) | (-) | (-) | (-) | (-) | 7.7 | 16.0 |
| 70 | Low Value | 1,014.2 | 9,968.0 | (-) | (-) | (-) | (-) | (-) | (-) | (-) | (-) | 1,014.2 | 9,968.0 |
| Timing Adjustment | 245.8 | 273.0 | |||||||||||
| Note: These data are presented on a customs value basis in millions of dollars, shipping weight in millions of KG. For information on data sources, nonsampling errors and definitions, see the Information on the Collection and Publication of Trade Statistics. | |||||||||||||
[an error occurred while processing this directive]
[an error occurred while processing this directive]
[an error occurred while processing this directive]
[an error occurred while processing this directive]