Report #2 (R2)
Identifying Candidate International Gateways and Foreign Geography Detail per FAF Needs
Background
International trade is a significant portion of the U.S. economy. During 2004, U.S. international merchandise trade reached $2,290 billion. The export portion was about $819 billion, while imports reached $1,471 billion. Although the United States trades with many partners, that trade is concentrated with only a few countries. The top fifteen countries account for about 75% of the total value of foreign trade merchandises.
U.S. international trade is processed through more than 400 U.S. seaports, airports, and land-based border crossings. However, most international trade passes through a relatively small number of gateways. For example, in 2003,
- The top five freight transportation gateways in the U.S. handled more than one-fourth ($533 billion) of the total U.S. international trade by dollar value;
- More than 50 percent, by value, of U.S. international merchandise trade is handled by the top 14 freight transportation gateways; and
- The top 50 U.S. international gateways handled 80 percent ($1.6 trillion) of that trade.
Information on freight involving international trade and its associated domestic movement by mode of transportation is of prime interests to the Freight Analysis Framework (FAF). Increasing trade deficits, potential terrorist threats, and growing traffic congestion have elevated public concern about imports and exports – in particular their points of arrival and departure. The base geography of the FAF is that of the Commodity Flow Survey (CFS) – i.e. 114 regions that include some of the largest international gateways for imports and exports. However, not all major gateways are included as CFS regions. In order to adequately describe actual freight movements related to international trades, additional international trade gateways (as origins and destinations) are needed within the 2002 FAF. This paper summarizes an analysis of all major international gateways and recommends that an additional 17 gateways be added to the 114 CFS regions for the 2002 FAF. These regions are referred to as the CFS-extended geography. Recommendations for additional gateways must balance the benefits of more accurate freight flows with greater model and data complexity.
Data Sources
This analysis was based on data from a variety of sources. Information on international trade volumes, in terms of weight and dollar value came from the following data sources:
Border Crossing - Highway and Railroad
Transborder Surface Freight Data prepared by the Bureau of Transportation Statistics.
Seaports - Waterborne
Official U.S. Waterborne Transportation Statistics published by the Maritime Administration (MARAD)
Airports - Air Cargo
T-100 International Segment [Air Carrier Statistics (Form 41 Traffic)] published by the Office of Airline Information, Bureau of Transportation Statistics.
Trade Partners
U.S. Imports of Merchandise and U.S. Exports of Merchandise compiled by the Freight Trade Division, U.S. Census Bureau.
Gateway Selection Procedure
Based on the above stated methodology, a preliminary set of gateways to supplement CFS regions is determined as follows:
- Candidate gateways are selected from the top gateways with a combined total of 80 percent of the total dollar value of U.S. trade and 80 percent of the total weight of U.S. trade (up to 25 candidates). These include gateways for
- Border crossings by highway, by value and by weight (no exports by weight information),
- Border crossings by railroad, by value and by weight (no exports by weight information),
- Seaports by value and by weight, and
- Airports by weight.
- Candidate gateways that are located within the CFS metropolitan areas (MAs) are eliminated.
- Remaining candidate gateways are ranked (for border crossings, seaports, and airports). Candidate gateways are arranged in their original ranking orders. The rows of three tables represent the candidate gateways and the columns of these tables represent transportation modes by weight and by value for border crossings, by weight and by value for seaports, and by weight for airports.
- Combined rankings are rearranged in ascending order for each type of gateway (i.e. airport, seaport, and highway/rail). A preliminary set of international trade gateways is then selected from each of these three tables.
Preliminary Results
Recommended International Gateways for FAF by Type
Based on the selection process outlined above, the following 17 gateways are recommended for inclusion in the 2002 FAF:
Border Crossings:
Laredo, TX
Blaine, WA
International Falls, MN
Champlain/Rouses Point, NY
Alexandria Bay, NY
El Paso, TX
Brownsville/ Hidalgo, TX
Seaports:
Beaumont, TX
Charleston, SC
Portland, ME
Savannah, GA
Morgan City, LA
Corpus Christi, TX
Lake Charles, LA
Baton Rouge, LA
Mobile, AL
Airport:
Anchorage, AK
Geography for Foreign Trade Partners
The current FAF geography groups all foreign trade partners into six trade regions: Canada, Mexico, Europe, Latin America, Asia, and Rest of World (ROW). An assessment of the adequacy of these trade regions was included within this study. A similar procedure as that described for international gateways was employed in the assessment of foreign geography. As a result, the Middle East is recommended as a potential candidate to be added to supplement existing FAF foreign regions.
Introduction
A great deal of U.S. freight enters and leaves the country through a relatively small number of major seaports, airports, and land border crossings. Although many of these international gateways are already included in the 114 CFS regions (including 64 metropolitan areas, 33 “remainder of states” regions, and 17 small states), a number of significant international gateways for freight are combined into “remainder-of-state” regions. To better reveal significant foreign trade freight flows, these international gateways should be identified and separated from their associated “remainder-of-state” regions. This study recommends a set of candidate international gateways that should be added to the 114 CFS regions to form the geography for the 2002 FAF.
Ideally, freight analysis models should track international trade freight movements from their origin and destination countries. However, due to the availability of data and the complexities of modeling, foreign trade origins and destinations are reduced to a manageable number. Using foreign trade regions, instead of individual countries, as origins and destinations is a viable alternative. Under the second-generation FAF, called FAF2, international freight flows were divided into six regions. They are Canada, Mexico, Europe, Latin America, Asia, and Rest of World (ROW). This study examines foreign geography to assess whether additional detail is merited to better reflect international freight flows for FAF needs.
Data Sources
Border Crossing - Highway and railroad
Transborder Surface Freight Data
Highway and railroad freight data are based on the Bureau of Transportation's Transborder Surface Freight Database. This database provides North American merchandise trade data by commodity type, by surface mode of transportation (rail, truck, pipeline, mail and other), and with geographic detail for U.S. exports to and imports from Canada and Mexico. There is no freight value information on exports, however.
Seaports - Waterborne
Official U.S. Waterborne Transportation Statistics
Information on imports and exports through U.S. seaports is based on the U.S. Foreign Waterborne Transportation Statistics published by the Maritime Administration (MARAD). The database contains monthly statistics on U.S. foreign trade imported or exported by vessel. The data are compiled by MARAD during its regular processing of statistics on foreign trade shipments. Information contained in this data set reflects the physical movement of waterborne foreign trade shipments into, and out of, U.S. foreign trade zones, the Virgin Islands, and U.S. Customs territories (including the 50 states, the District of Columbia, and Puerto Rico). It contains information on the type of vessels, commodities, weight, customs districts and ports, and origins and destinations.
Airports - Air Cargo
T-100 International Segment [Air Carrier Statistics (Form 41 Traffic)]
International trade by air is based on Air Carrier Traffic Statistics published by the Office of Airline Information, Bureau of Transportation Statistics (BTS). This database contains monthly data reported by certificated U.S. and foreign air carriers on passengers, freight, and mail they transport. It also includes aircraft type, service class, available capacity and seats, and aircraft hours ramp-to-ramp and airborne.
Trade Partners
U.S. Imports of Merchandise and U.S. Exports of Merchandise
Freight information used for identifying U.S. major international trade partners is based on U.S. Exports of Merchandise and U.S. Imports of Merchandise on DVD-ROMs, compiled by the Freight Trade Division, U.S. Census Bureau. Data on the U.S. Exports of Merchandise DVD-ROM provides information on value, quantity, method of transportation, and shipping weights for 9,000 exported commodities, between 240 trading partners, and for 45 districts. Similarly, data on the U.S. Imports of Merchandise DVD-ROM provides types of products that are being imported into the U.S. It also contains information on a wide range of products; more than 17,000 commodities ranging from wheat, airplanes, cars, to computers and artwork. This DVD-ROM includes data for 240 trading partners and 45 districts. It provides value, quantity, and method of transportation, shipping weights, import charges, and custom duties.
Gateway Selection Procedure
After careful consideration, the following procedure was formulated and used in selecting international gateways to supplement the 114 CFS regions for the 2002 FAF. This selection process includes three steps.
Step 1: Identify Preliminary Candidates
To begin, candidate seaports, airports, and border crossings are identified based on the “significance” of their contribution toward the U.S. international trade total. A significance measure was based on weight (tonnage) or value ($) of freight being handled by the given facility (e.g., shipments passing through a seaport). For seaports, the amount of containerized cargo processed at the port facility is also included as a measure in identifying gateway candidates. Note that seaports recommended for inclusion as additional international gateways based on containerized cargo are included within the gateways selected on the basis of other criteria. Therefore, a separate table for seaports selected on the basis of containerized cargo is not presented in this report.
All facilities (i.e. seaports, airports, and border crossings) are ranked in descending order by tonnages and values of freights passing through their jurisdiction by mode of transportation. Top contributing seaports, airports, and border crossings (up to 25 facilities each) were identified by using a cut-off of 80% cumulative total in tonnages and values.
Step 2: Eliminate Candidates Already in FAF Metropolitan Areas
The second step is to eliminate duplication with existing CFS regions. Each additional international gateway added to the existing 114 CFS regions will add processing efforts to subsequent tasks. These include the origin-destination matrices, forecasting, as well as flow assignments. Thus, candidate seaports, airports or border crossings located within existing FAF metropolitan areas are not separated from their MA regions. Consequently, these candidates are removed from the list generated in Step 1.
Step 3: Select International Gateways Based on Combined Ranking Scores
The remaining international gateways are rearranged by their original rankings and combined into a table. A combined "score" is calculated to reflect the combined significance of each gateway. The final set of gateways is determined by ranking of combined scores. More detail on this process is given in the following section.
Gateways Selection Example - Boarder Crossings between U.S.-Canada and U.S.-Mexico
To better illustrate the selection procedures, an example is given – i.e. selecting international gateways along the U.S.-Canada and U.S.-Mexico borders by highway and rail.
Step 1: Select Gateway Candidates
Candidate border crossings by dollar value of freights transported between U.S.-Canada and U.S.-Mexico are identified and presented in Table 1. Both dollar value ($) and weight (tonnage) are used in this selection.
| Name | Exports ($) | Imports ($) | Total Foreign Trade ($) | % of Total | In MA |
|---|---|---|---|---|---|
| Detroit MI | $48,631,644,477 | $36,178,973,987 | $84,810,618,464 | 21.1% | Y |
| Laredo TX | $24,160,772,426 | $30,459,008,739 | $54,619,781,165 | 34.7% | N |
| Buffalo/Niagara Falls NY | $24,988,019,401 | $20,764,579,978 | $45,752,599,379 | 46.1% | Y |
| El Paso TX | $16,190,233,104 | $19,745,171,951 | $35,935,405,055 | 55.0% | N |
| Port Huron MI | $18,170,710,173 | $17,548,936,732 | $35,719,646,905 | 63.9% | Y |
| Otay Mesa Station CA | $8,260,389,400 | $11,400,334,548 | $19,660,723,948 | 68.8% | Y |
| Brownsville/Hidalgo TX | $6,204,142,895 | $8,135,922,774 | $14,340,065,669 | 72.4% | N |
| Champlain/Rouses Point NY | $4,845,415,199 | $7,894,263,770 | $12,739,678,969 | 75.5% | N |
| Alexandria Bay NY | $3,832,476,729 | $6,192,527,176 | $10,025,003,905 | 78.0% | N |
| Blaine WA | $4,935,105,190 | $4,945,983,532 | $9,881,088,722 | 80.5% | N |
Note: Due to data limitations, weight (tonnage) information for exports is not available.
Therefore, only imports information is used in identifying these candidate border crossings by weight. The selected candidate border crossings by weight are presented in Table 2.
Step 2: Eliminate Gateways already in FAF MA Regions
Candidates selected in the first step were compared to the geography of the existing FAF MA regions. Only those that are not located within existing FAF metropolitan areas were chosen under this second selection process. The status of each selected candidate, with respect to existing FAF MA regions, is presented in the rightmost columns of Tables 1 and 2.
| Name | Imports (kg) | Total Foreign Trade (kg) | % of Total | In MA |
|---|---|---|---|---|
| Detroit MI | 13,200,064,302 | 13,200,064,302 | 15.3% | Y |
| Buffalo/Niagara Falls NY | 10,345,675,014 | 10,345,675,014 | 27.4% | Y |
| Port Huron MI | 8,790,669,521 | 8,790,669,521 | 37.6% | Y |
| Laredo TX | 8,435,927,802 | 8,435,927,802 | 47.4% | N |
| Champlain/Rouses Point NY | 4,234,373,236 | 4,234,373,236 | 52.3% | N |
| Alexandria Bay NY | 3,475,709,043 | 3,475,709,043 | 56.4% | N |
| Blaine WA | 3,249,531,068 | 3,249,531,068 | 60.1% | N |
| Pembina ND | 2,527,675,018 | 2,527,675,018 | 63.1% | N |
| Nogales AZ | 2,424,300,324 | 2,424,300,324 | 65.9% | N |
| Otay Mesa Station CA | 2,350,042,831 | 2,350,042,831 | 68.6% | Y |
| El Paso TX | 2,173,749,923 | 2,173,749,923 | 71.2% | N |
| Brownsville/Hidalgo TX | 2,012,529,858 | 2,012,529,858 | 73.5% | N |
| Sweet Grass MT | 1,822,043,740 | 1,822,043,740 | 75.6% | N |
| Derby Line VT | 1,708,770,514 | 1,708,770,514 | 77.6% | N |
| Highgate Springs/Alburg VT | 1,409,447,503 | 1,409,447,503 | 79.2% | N |
| Houlton ME | 1,333,409,249 | 1,333,409,249 | 80.8% | N |
Step 3: Final Selection Based on Combined Ranking Scores
Gateways identified in Tables 1, 2, and A-1, A-2, for highway and rail respectively, are re-arranged and entered into Table 3. The original rankings for highway and railroad are preserved. Cells with no original ranking are set to 99. By doing so, those with high individual rankings in multiple categories (e.g., by value and weight for both highway and rail) result in a higher combined ranking. The combined ranking scores were calculated as the sum of individual ranks, where the smaller the score is, the higher its order of importance becomes.
Based on the combined ranking scores, seven border crossing were identified as recommended international gateways between U.S.-Canada and U.S.-Mexico. They are: Laredo, TX; Blaine, WA; International Falls, MN; Champlain/Rouses Point, NY; Alexandria Bay, NY; El Paso, TX; and Brownsville/Hidalgo, TX.
| Ranked order Highway Value |
Ranked order Highway Weight |
Ranked order Rail Value |
Ranked order Rail Weight |
Combined ranking | |
|---|---|---|---|---|---|
| Laredo, TX | 2 | 4 | 1 | 6 | 13 |
| Blaine, WA | 10 | 7 | 99 | 4 | 120 |
| International Falls, MN | 99 | 99 | 5 | 1 | 204 |
| Champlain Rouses Point, NY | 8 | 5 | 99 | 99 | 211 |
| Alexandria Bay, NY | 9 | 6 | 99 | 99 | 213 |
| El Paso, TX | 4 | 11 | 99 | 99 | 213 |
| Brownsville/ Hidalgo, TX | 7 | 12 | 99 | 99 | 217 |
| Portal, ND | 99 | 99 | 99 | 3 | 300 |
| Pembina, ND | 99 | 8 | 99 | 99 | 305 |
| Noyes, MN | 99 | 99 | 99 | 8 | 305 |
| Nogales, AZ | 99 | 9 | 99 | 99 | 306 |
| Eastport, ID | 99 | 99 | 99 | 9 | 306 |
| Sweet Grass, MT | 99 | 13 | 99 | 99 | 310 |
| Derby Line, VT | 99 | 14 | 99 | 99 | 311 |
| Highgate Springs/Alburg, VT | 99 | 15 | 99 | 99 | 312 |
| Houlton ME | 99 | 16 | 99 | 99 | 313 |
A similar procedure is used to select seaports, airports, and grouping of foreign trading partners into regions. The following sections provide the resulting gateway selections from Step 3 for seaports and airports. Detailed information per their selection processes, as well as the grouping of foreign trade partners, is presented in Appendices of this report.
Selected International Gateways for Seaports
The combined ranking scores calculated for seaports that are not already in the FAF MA regions are presented in Table 4. Highlighted gateways are seaports to be recommended as additional FAF regions. These ports play significant roles, by value and/or by weight, in U.S. foreign trades via waterway. Freight flows in these regions are expected to be significantly different from others in their respective remainder of states.
| Ranked order Value |
Ranked order Weight |
Combined ranking | |
|---|---|---|---|
| Beaumont, TX | 16 | 5 | 21 |
| Charleston, SC | 5 | 22 | 27 |
| Portland, ME | 15 | 15 | 30 |
| Savannah, GA | 12 | 21 | 33 |
| Morgan City, LA | 99 | 6 | 105 |
| Corpus Christi, TX | 99 | 7 | 106 |
| Lake Charles, LA | 99 | 12 | 111 |
| Baton Rouge, LA | 99 | 13 | 112 |
| Mobile, AL | 99 | 14 | 113 |
| Pascagoula, MS | 99 | 20 | 119 |
| Wilmington, DE | 99 | 23 | 122 |
| Port Arthur, TX | 99 | 24 | 123 |
Selected International Gateways for Airports
Almost all major airports were selected as candidates by the above described procedure are located in FAF MA regions. The only exception is Anchorage, Alaska. Anchorage handles a significant amount of international air freights, although most of them are for transshipments. Based on the quantity of freight processed, the study recommends that Anchorage, Alaska be added as an additional airport for the 2002 FAF.
Foreign Trade Regions
In order to evaluate foreign geography details for FAF needs, a similar procedure as that used in evaluating international gateways is used to identify top international trade partners for the U.S. Because of their large volume of trade, Canada, Mexico, and Latin America must be identified as separate regions. Therefore, this study only needs to address international freight flows via waterway and air. Both weight and value of imports and exports are used in the selection of foreign trade regions.
The study first identified the top trade partners that account for 8% of total U.S. trade (up to 25 countries). This selection was based on weight/value of total imports and exports by air/water. Detailed statistics for these top trade partners are presented in Tables B-1 through B-4 in Appendix B of this document. Corresponding maps displaying the size of imports and exports from each trade partner are depicted in Figures B-1 to B-4. Note that imported and exported freight via water is not concentrated at a few seaports (see maps). The top 25 seaports accounted for slightly less than 8% (78% by weight and 79% by value) of the U.S. total shipped by waterway. International air cargo, on the other hand, is more concentrated (see maps). The top 24 airports by weight, or 18 airports by value, account for over 8% of total U.S. air shipments.
These top trade partners by water and by air are then combined into a single table. Top trade partners are arranged in ascending order based on their combined rankings. Those that are not ranked individually (e.g. not in the top ranking by one of the selection criteria) are set to 99. By doing so, those having higher ranking in all first-step categories will have a higher combined ranking. The top trade partners are presented in Table 5.
| Trade Partners | Ranking Order Waterborne By Weight |
Ranking Order Waterborne By Value |
Ranking Order Air By Weight |
Ranking Order Air By Value |
Combined ranking |
|---|---|---|---|---|---|
| Japan | 5 | 2 | 1 | 1 | 9 |
| China | 6 | 1 | 2 | 2 | 11 |
| United Kingdom | 8 | 5 | 4 | 3 | 20 |
| Korea, South | 11 | 4 | 9 | 5 | 29 |
| Germany | 21 | 3 | 3 | 4 | 31 |
| Taiwan | 15 | 6 | 6 | 7 | 34 |
| Mexico1 | 1 | 7 | 17 | 16 | 41 |
| Canada1 | 3 | 20 | 5 | 14 | 42 |
| Brazil | 7 | 9 | 12 | 17 | 45 |
| Italy | 18 | 11 | 8 | 11 | 48 |
| Netherlands | 19 | 14 | 10 | 15 | 58 |
| France | 99 | 12 | 7 | 8 | 126 |
| Venezuela | 2 | 8 | 99 | 28 | 137 |
| Malaysia | 99 | 17 | 15 | 9 | 140 |
| Singapore | 99 | 24 | 13 | 10 | 146 |
| Hong Kong | 99 | 19 | 11 | 19 | 148 |
| Belgium | 23 | 15 | 99 | 13 | 150 |
| Australia | 25 | 16 | 20 | 99 | 160 |
| Saudi Arabia | 4 | 10 | 99 | 99 | 212 |
| Colombia | 10 | 99 | 14 | 99 | 222 |
| Ireland | 99 | 99 | 21 | 6 | 225 |
| Thailand | 99 | 13 | 19 | 99 | 230 |
| Israel | 99 | 99 | 24 | 12 | 234 |
| Russia | 17 | 22 | 99 | 99 | 237 |
| India | 99 | 21 | 18 | 99 | 237 |
| Philippines | 99 | 99 | 23 | 18 | 239 |
| Spain | 22 | 25 | 99 | 99 | 245 |
| Nigeria | 9 | 99 | 99 | 99 | 306 |
| Iraq | 12 | 99 | 99 | 99 | 309 |
| Norway | 13 | 99 | 99 | 99 | 310 |
| Angola | 14 | 99 | 99 | 99 | 311 |
| Trinidad and Tobago | 16 | 99 | 99 | 99 | 313 |
| Chile | 99 | 99 | 16 | 99 | 313 |
| Indonesia | 99 | 18 | 99 | 99 | 315 |
| Algeria | 20 | 99 | 99 | 99 | 317 |
| Switzerland | 99 | 99 | 22 | 99 | 319 |
| Dominican Republic | 99 | 23 | 99 | 99 | 320 |
| Kuwait | 24 | 99 | 99 | 99 | 321 |
Recommendation
International Gateways
All supporting statistics and maps for international freight gateways are included in Appendix A of this document. Based on the evaluation criteria, 17 additional international freight gateways are recommended for inclusion in the 2002 FAF. These include:
Border Crossings:
Laredo, TX
Blaine, WA
International Falls, MN
Champlain/Rouses Point, NY
Alexandria Bay, NY
El Paso, TX
Brownsville/ Hidalgo, TX
Seaports:
Beaumont, TX
Charleston, SC
Portland, ME
Savannah, GA
Morgan City, LA
Corpus Christi, TX
Lake Charles, LA
Baton Rouge, LA
Mobile, AL
Airport:
Anchorage, AK
Foreign Geography
Supporting statistics and maps per the study's foreign geography evaluation are included in Appendix B of this document. Based on the evaluation criteria, the Middle East is a potential candidate for addition to the 2002 FAF. Note that under the most recent FAF, international freight flows are set to six regions: Canada, Mexico, Europe, Latin America, Asia, and Rest of World (ROW).
Appendix A: Detailed Information on International Gateways
| Name | Exports ($) | Imports ($) | Total Foreign Trade ($) | Cumm. % of Total | In MA |
|---|---|---|---|---|---|
| Laredo, TX | $8,142,757,080 | $15,797,585,957 | $23,940,343,037 | 25.0% | N |
| Port Huron, MI | $4,097,502,274 | $18,791,198,548 | $22,888,700,822 | 49.0% | Y |
| Detroit, MI | $5,679,845,382 | $11,043,473,471 | $16,723,318,853 | 66.5% | Y |
| Buffalo/Niagara Falls, NY | $1,762,663,859 | $7,364,118,440 | $9,126,782,299 | 76.0% | Y |
| International Falls, MN | $746,303,438 | $3,861,969,849 | $4,608,273,287 | 80.8% | N |
| Name | Imports (kg) | Total Foreign Trade (kg) | Cumm. % of Total | In MA |
|---|---|---|---|---|
| International Falls, MN | 11,901,647,646 | 11,901,647,646 | 16.2% | N |
| Port Huron, MI | 11,774,665,868 | 11,774,665,868 | 32.3% | Y |
| Portal, ND | 7,621,744,338 | 7,621,744,338 | 42.7% | N |
| Blaine WA | 6,734,866,797 | 6,734,866,797 | 51.9% | N |
| Buffalo Niagara Falls, NY | 5,490,825,052 | 5,490,825,052 | 59.4% | Y |
| Laredo, TX | 4,673,653,989 | 4,673,653,989 | 65.7% | N |
| Detroit, MI | 4,401,822,485 | 4,401,822,485 | 71.7% | Y |
| Noyes, MN | 3,980,610,315 | 3,980,610,315 | 77.2% | N |
| Eastport, ID | 3,812,125,859 | 3,812,125,859 | 82.4% | N |
| Ranking Order By $ |
Ranking Order By Kg |
In MA | |
|---|---|---|---|
| Buffalo Niagara Falls, NY | 4 | 5 | Y |
| Detroit, MI | 3 | 7 | Y |
| International Falls, MN | 5 | 1 | N |
| Laredo, TX | 1 | 6 | N |
| Port Huron, MI | 2 | 2 | Y |
| Blaine, WA | 4 | N | |
| Eastport, ID | 9 | N | |
| Noyes, MN | 8 | N | |
| Portal, ND | 3 | N |
| Name | Exports ($) | Imports ($) | Total Foreign Trade ($) | Cumm. % of Total | In MA |
|---|---|---|---|---|---|
| Los Angeles, CA | $16,555,508,545 | $98,305,639,355 | $114,861,147,900 | 15.0% | Y |
| Long Beach, CA | $15,850,363,930 | $78,916,085,571 | $94,766,449,501 | 27.4% | Y |
| New York, NY | $23,833,549,822 | $70,804,038,596 | $94,637,588,418 | 39.8% | Y |
| Houston, TX | $20,257,821,337 | $24,759,662,772 | $45,017,484,109 | 45.7% | Y |
| Charleston, SC | $11,870,482,705 | $22,399,068,899 | $34,269,551,604 | 50.2% | N |
| Norfolk, VA | $11,072,896,526 | $15,492,283,232 | $26,565,179,758 | 53.7% | Y |
| Seattle, WA | $5,378,277,070 | $19,316,701,321 | $24,694,978,391 | 56.9% | Y |
| Baltimore, MD | $5,260,144,409 | $19,068,684,762 | $24,328,829,171 | 60.1% | Y |
| Tacoma, WA | $4,719,200,616 | $19,410,364,126 | $24,129,564,742 | 63.2% | Y |
| Oakland, CA | $7,681,327,851 | $15,544,760,270 | $23,226,088,121 | 66.3% | Y |
| Miami, FL | $9,359,226,491 | $11,701,609,431 | $21,060,835,922 | 69.0% | Y |
| Savannah, GA | $7,005,178,055 | $13,335,392,421 | $20,340,570,476 | 71.7% | N |
| New Orleans, LA | $9,295,765,081 | $8,663,309,572 | $17,959,074,653 | 74.0% | Y |
| Jacksonville, FL | $2,654,540,712 | $8,835,723,617 | $11,490,264,329 | 75.5% | Y |
| Portland, OR | $2,710,192,588 | $8,615,774,411 | $11,325,966,999 | 77.0% | Y |
| Beaumont, TX | $872,311,858 | $10,213,184,874 | $11,085,496,732 | 78.5% | N |
| Port Everglades, FL | $4,392,421,976 | $5,959,636,932 | $10,352,058,908 | 79.8% | Y |
| Port of South LA | $6,080,649,428 | $3,541,094,070 | $9,621,743,498 | 81.1% | Y |
| Name | Exports (kg) | Imports (kg) | Total Foreign Trade (kg) | Cumm. % of Total | In MA |
|---|---|---|---|---|---|
| Houston, TX | 28,249,096,851 | 71,106,228,900 | 99,355,325,751 | 8.5% | Y |
| New York, NY | 11,002,142,339 | 59,714,233,978 | 70,716,376,317 | 14.6% | Y |
| Port of South LA | 43,101,980,597 | 25,872,660,829 | 68,974,641,426 | 20.5% | Y |
| New Orleans, LA | 38,711,703,350 | 28,251,830,034 | 66,963,533,384 | 26.2% | Y |
| Beaumont, TX | 4,099,195,002 | 52,234,415,769 | 56,333,610,771 | 31.0% | N |
| Morgan City, LA | 135,401,696 | 46,726,523,406 | 46,861,925,102 | 35.0% | N |
| Corpus Christi, TX | 7,555,507,403 | 37,605,222,257 | 45,160,729,660 | 38.9% | N |
| Los Angeles, CA | 12,125,688,462 | 31,373,520,579 | 43,499,209,041 | 42.6% | Y |
| Long Beach, CA | 13,717,648,516 | 28,675,509,965 | 42,393,158,481 | 46.3% | Y |
| Texas City, TX | 3,148,030,231 | 28,577,534,940 | 31,725,565,171 | 49.0% | Y |
| Philadelphia, PA | 402,595,942 | 26,419,965,762 | 26,822,561,704 | 51.3% | Y |
| Lake Charles, LA | 3,832,605,213 | 22,438,506,096 | 26,271,111,309 | 53.5% | N |
| Baton Rouge, LA | 4,445,857,138 | 20,397,723,533 | 24,843,580,671 | 55.7% | N |
| Mobile, AL | 7,517,851,465 | 15,672,924,509 | 23,190,775,974 | 57.6% | N |
| Portland, ME | 268,552,448 | 22,810,398,632 | 23,078,951,080 | 59.6% | N |
| Baltimore, MD | 4,971,668,892 | 16,423,826,060 | 21,395,494,952 | 61.5% | Y |
| Christiansted, VI | 1,382,507,583 | 18,936,518,106 | 20,319,025,689 | 63.2% | N |
| Norfolk, VA | 11,982,663,764 | 8,252,474,015 | 20,235,137,779 | 64.9% | Y |
| Freeport, TX | 1,815,828,234 | 18,087,411,738 | 19,903,239,972 | 66.6% | Y |
| Pascagoula, MS | 2,190,191,195 | 16,873,782,230 | 19,063,973,425 | 68.3% | N |
| Savannah, GA | 7,822,618,377 | 10,277,643,321 | 18,100,261,698 | 69.8% | N |
| Charleston, SC | 5,399,820,634 | 12,209,100,332 | 17,608,920,966 | 71.3% | N |
| Wilmington, DE | 414,866,798 | 15,365,889,330 | 15,780,756,128 | 72.7% | N |
| Port Arthur, TX | 2,857,784,821 | 12,839,737,457 | 15,697,522,278 | 74.0% | N |
| Paulsboro, NJ | 120,758,481 | 15,244,489,730 | 15,365,248,211 | 75.3% | Y |
| Ranking Order By $ |
Ranking Order By Kg |
|
|---|---|---|
| Baton Rouge, LA | 13 | |
| Beaumont, TX | 16 | 5 |
| Charleston, SC | 5 | 22 |
| Christiansted, VI | 17 | |
| Corpus Christi, TX | 7 | |
| Lake Charles, LA | 12 | |
| Mobile, AL | 14 | |
| Morgan City, LA | 6 | |
| Pascagoula, MS | 20 | |
| Port Arthur, TX | 24 | |
| Portland, ME | 15 | 15 |
| Savannah, GA | 12 | 21 |
| Wilmington, DE | 23 |
| Name | Exports (kg) | Imports (kg) | Total Foreign Trade (kg) | Cumm. % of Total | In MA |
|---|---|---|---|---|---|
| ANCHORAGE INTL | 635,604,690 | 1,360,730,272 | 1,996,334,962 | 26.0% | N |
| MIAMI INTL | 479,359,424 | 777,323,315 | 1,256,682,739 | 42.4% | Y |
| JOHN F KENNEDY INTL | 316,339,146 | 493,782,128 | 810,121,274 | 52.9% | Y |
| LOS ANGELES INTL | 226,854,928 | 335,251,414 | 562,106,342 | 60.3% | Y |
| CHICAGO O'HARE INTL | 217,986,465 | 254,637,531 | 472,623,996 | 66.4% | Y |
| SAN FRANCISCO INTL | 119,362,131 | 140,715,880 | 260,078,011 | 69.8% | Y |
| NEWARK INTL | 92,085,975 | 162,964,659 | 255,050,634 | 73.1% | Y |
| MEMPHIS INTL | 107,486,076 | 128,093,225 | 235,579,301 | 76.2% | Y |
| THE WILLIAM B HARTSFIELD ATLANTA INTL | 78,651,898 | 132,788,612 | 211,440,510 | 78.9% | Y |
| GEORGE BUSH INTERCONTINENTAL ARPT/HOUSTON | 73,777,815 | 67,872,603 | 141,650,418 | 80.8% | Y |

Figure A-1. Candidate Border Crossings by Weight for Highway

Figure A-2. Candidate Border Crossings by Value for Highway

Figure A-3. Candidate Border Crossings by Weight for Rail

Figure A-4. Candidate Border Crossings by Value for Rail

Figure A-5. Candidate Seaports by Weight

Figure A-6. Candidate Seaports by Value

Figure A-7. Candidate Airports by Weight
Appendix B: Information on Top International Trade Partners
| Name | Exports (kg) | Imports (kg) | Total Foreign Trade (kg) | Cumm. % of Total |
|---|---|---|---|---|
| Mexico | 23,061,457,861 | 93,605,502,398 | 116,666,960,259 | 10.3% |
| Venezuela | 3,474,773,871 | 95,411,723,239 | 98,886,497,110 | 19.1% |
| Canada | 29,085,381,665 | 61,072,470,912 | 90,157,852,577 | 27.0% |
| Saudi Arabia | 2,044,710,482 | 76,907,731,718 | 78,952,442,200 | 34.0% |
| Japan | 48,806,198,500 | 11,869,385,184 | 60,675,583,684 | 39.4% |
| China | 18,226,702,340 | 34,201,408,154 | 52,428,110,494 | 44.0% |
| Brazil | 8,593,200,596 | 26,765,225,839 | 35,358,426,435 | 47.1% |
| United Kingdom | 6,447,228,843 | 26,803,290,442 | 33,250,519,285 | 50.1% |
| Nigeria | 2,229,042,926 | 30,991,500,053 | 33,220,542,979 | 53.0% |
| Colombia | 4,645,619,402 | 27,068,050,580 | 31,713,669,982 | 55.8% |
| Korea, South | 14,748,553,494 | 9,563,737,740 | 24,312,291,234 | 58.0% |
| Iraq | 3,611,026 | 23,668,136,581 | 23,671,747,607 | 60.0% |
| Norway | 414,707,970 | 22,555,687,638 | 22,970,395,608 | 62.1% |
| Angola | 224,098,787 | 17,549,598,892 | 17,773,697,679 | 63.7% |
| Taiwan | 12,538,482,387 | 4,999,698,453 | 17,538,180,840 | 65.2% |
| Trinidad and Tobago | 829,441,461 | 16,526,869,818 | 17,356,311,279 | 66.7% |
| Russia | 1,255,344,663 | 15,854,373,519 | 17,109,718,182 | 68.2% |
| Italy | 8,465,907,962 | 7,679,773,772 | 16,145,681,734 | 69.7% |
| Netherlands | 9,407,090,909 | 6,467,661,513 | 15,874,752,422 | 71.1% |
| Algeria | 2,298,115,402 | 12,801,854,243 | 15,099,969,645 | 72.4% |
| Germany | 4,939,176,305 | 9,844,256,384 | 14,783,432,689 | 73.7% |
| Spain | 9,252,988,576 | 4,896,787,296 | 14,149,775,872 | 75.0% |
| Belgium | 7,409,632,430 | 5,473,813,845 | 12,883,446,275 | 76.1% |
| Kuwait | 190,291,986 | 12,361,971,182 | 12,552,263,168 | 77.2% |
| Australia | 2,875,406,962 | 9,470,144,347 | 12,345,551,309 | 78.3% |
| Name | Exports ($) | Imports ($) | Total Foreign Trade ($) | Cumm. % of Total |
|---|---|---|---|---|
| China | $10,854,167,400 | $102,379,678,514 | $113,233,845,914 | 15.5% |
| Japan | $24,124,038,101 | $87,310,362,092 | $111,434,400,193 | 30.8% |
| Germany | $8,907,542,518 | $36,358,650,613 | $45,266,193,131 | 37.0% |
| Korea, South | $10,254,683,629 | $20,992,546,466 | $31,247,230,095 | 41.3% |
| United Kingdom | $9,494,168,980 | $18,188,810,802 | $27,682,979,782 | 45.1% |
| Taiwan | $6,710,848,096 | $17,583,538,742 | $24,294,386,838 | 48.4% |
| Mexico | $6,267,724,711 | $17,105,870,148 | $23,373,594,859 | 51.6% |
| Venezuela | $3,404,877,678 | $14,961,536,008 | $18,366,413,686 | 54.2% |
| Brazil | $6,298,081,751 | $10,823,457,236 | $17,121,538,987 | 56.5% |
| Saudi Arabia | $3,465,460,436 | $13,023,271,106 | $16,488,731,542 | 58.8% |
| Italy | $3,514,555,808 | $12,425,509,209 | $15,940,065,017 | 61.0% |
| France | $3,972,666,626 | $9,030,887,457 | $13,003,554,083 | 62.7% |
| Thailand | $2,162,861,788 | $10,395,531,080 | $12,558,392,868 | 64.5% |
| Netherlands | $6,836,166,930 | $5,218,362,185 | $12,054,529,115 | 66.1% |
| Belgium | $6,721,107,628 | $4,290,488,542 | $11,011,596,170 | 67.6% |
| Australia | $5,801,210,060 | $4,958,350,799 | $10,759,560,859 | 69.1% |
| Malaysia | $1,612,171,094 | $8,680,928,643 | $10,293,099,737 | 70.5% |
| Indonesia | $1,962,625,861 | $8,049,346,516 | $10,011,972,377 | 71.9% |
| Hong Kong | $4,550,286,760 | $5,434,860,826 | $9,985,147,586 | 73.3% |
| Canada | $2,401,760,871 | $6,997,493,038 | $9,399,253,909 | 74.5% |
| India | $1,600,028,978 | $6,156,691,960 | $7,756,720,938 | 75.6% |
| Russia | $1,795,927,572 | $5,816,101,323 | $7,612,028,895 | 76.7% |
| Dominican Republic | $3,621,050,334 | $3,479,789,641 | $7,100,839,975 | 77.6% |
| Singapore | $4,253,295,002 | $2,528,481,973 | $6,781,776,975 | 78.6% |
| Spain | $2,984,958,976 | $3,664,934,114 | $6,649,893,090 | 79.5% |
| Name | Exports (kg) | Imports (kg) | Total Foreign Trade (kg) | Cumm. % of Total |
|---|---|---|---|---|
| Japan | 296,699,599 | 293,974,454 | 590,674,053 | 10.1% |
| China | 76,288,908 | 461,221,258 | 537,510,166 | 19.2% |
| Germany | 148,610,177 | 253,821,004 | 402,431,181 | 26.1% |
| United Kingdom | 215,798,787 | 185,410,068 | 401,208,855 | 32.9% |
| Canada | 197,590,921 | 62,917,460 | 260,508,381 | 37.4% |
| Taiwan | 85,815,396 | 145,408,169 | 231,223,565 | 41.3% |
| France | 91,153,830 | 121,807,948 | 212,961,778 | 44.9% |
| Italy | 52,868,760 | 145,378,568 | 198,247,328 | 48.3% |
| Korea, South | 73,049,276 | 119,014,021 | 192,063,297 | 51.6% |
| Netherlands | 85,861,887 | 87,650,255 | 173,512,142 | 54.5% |
| Hong Kong | 78,606,338 | 70,448,712 | 149,055,050 | 57.1% |
| Brazil | 61,065,870 | 87,297,053 | 148,362,923 | 59.6% |
| Singapore | 79,342,483 | 68,420,334 | 147,762,817 | 62.1% |
| Colombia | 44,802,464 | 102,910,027 | 147,712,491 | 64.6% |
| Malaysia | 35,234,209 | 99,790,003 | 135,024,212 | 66.9% |
| Chile | 17,242,240 | 116,441,964 | 133,684,204 | 69.2% |
| Mexico | 69,327,129 | 54,880,911 | 124,208,040 | 71.3% |
| India | 24,509,798 | 76,241,189 | 100,750,987 | 73.0% |
| Thailand | 20,111,688 | 66,237,702 | 86,349,390 | 74.5% |
| Australia | 51,965,975 | 24,045,917 | 76,011,892 | 75.8% |
| Ireland | 36,410,567 | 36,331,017 | 72,741,584 | 77.0% |
| Switzerland | 25,728,690 | 45,445,261 | 71,173,951 | 78.3% |
| Philippines | 15,037,066 | 54,456,711 | 69,493,777 | 79.4% |
| Israel | 23,067,095 | 46,191,714 | 69,258,809 | 80.6% |
| Name | Exports ($) | Imports ($) | Total Foreign Trade ($) | Cumm. % of Total |
|---|---|---|---|---|
| Japan | $24,170,183,301 | $30,689,165,667 | $54,859,348,968 | 11.0% |
| United Kingdom | $19,894,206,183 | $18,893,518,673 | $38,787,724,856 | 18.8% |
| Germany | $15,002,809,470 | $18,842,915,170 | $33,845,724,640 | 25.6% |
| China | $7,718,288,442 | $18,443,432,568 | $26,161,721,010 | 30.8% |
| France | $12,001,457,018 | $13,199,865,749 | $25,201,322,767 | 35.9% |
| Ireland | $4,707,135,047 | $20,359,962,439 | $25,067,097,486 | 40.9% |
| Taiwan | $11,105,982,774 | $13,529,181,434 | $24,635,164,208 | 45.8% |
| Korea, South | $10,390,562,379 | $13,879,772,625 | $24,270,335,004 | 50.7% |
| Malaysia | $7,810,929,223 | $14,808,614,252 | $22,619,543,475 | 55.3% |
| Singapore | $9,254,075,725 | $11,731,299,118 | $20,985,374,843 | 59.5% |
| Canada | $11,962,140,068 | $8,771,445,239 | $20,733,585,307 | 63.6% |
| Italy | $4,989,684,356 | $9,697,143,956 | $14,686,828,312 | 66.6% |
| Israel | $4,507,038,037 | $9,811,341,826 | $14,318,379,863 | 69.4% |
| Netherlands | $10,223,601,160 | $3,772,392,913 | $13,995,994,073 | 72.3% |
| Switzerland | $6,124,309,335 | $6,592,602,638 | $12,716,911,973 | 74.8% |
| Philippines | $5,335,166,666 | $6,703,744,566 | $12,038,911,232 | 77.2% |
| Hong Kong | $7,576,272,892 | $3,470,727,321 | $11,047,000,213 | 79.4% |
| Belgium | $5,097,393,604 | $4,960,162,872 | $10,057,556,476 | 81.5% |

Figure B-1. Major Trade Partners by Weight via Waterway

Figure B-2. Major Trade Partners by Value via Waterway

Figure B-3. Major Trade Partners by Weight via Air

Figure B-4. Major Trade Partners by Value via Air