Voluntary Report - public distribution

**Date:** 5/17/2005

**GAIN Report Number:** CH5037

CH5037

**China, Peoples Republic of**

**Trade data - Multiple commodities only**

**January through March**

**2005**

**Approved by:**

![](media/image1.wmf)Maurice W. House

U.S. Embassy Beijing

**Prepared by:**

Adam Branson, Ralph Gifford

**Report Highlights:**

This report presents China Customs agricultural, fishery, and forestry
commodity trade data recorded from January through March 2005. Year to
date agricultural, fishery, and forestry imports were \$7.7 billion, of
which \$2.1 originated from the United States. Leading imports are
soybeans, cotton, untreated woods, wheat, and vegetable oils. China\'s
agricultural, fishery, and forestry exports were \$7.2 billion;
primarily processed aquatic products and woodenware.

Includes PSD Changes: No

Includes Trade Matrix: No

Unscheduled Report

Beijing \[CH1\]

\[CH\]

Table of Contents

[Disclaimer 3](#disclaimer)

[Highlights --Still More Beans than Boeings in Q1 2005
3](#highlights-still-more-beans-than-boeings-in-q1-2005)

[China's Ag, Fish, and Forestry Imports from the World by Origin
4](#chinas-ag-fish-and-forestry-imports-from-the-world-by-origin)

[China's Ag, Fish, and Forestry Imports from the World by Entering Area
5](#chinas-ag-fish-and-forestry-imports-from-the-world-by-entering-area)

[China's Ag, Fish, and Forestry Imports from the World by HTS 6 Digits
6](#chinas-ag-fish-and-forestry-imports-from-the-world-by-hts-6-digits)

[China's Ag, Fish, and Forestry Imports from the U.S. by HTS 6 Digits
7](#chinas-ag-fish-and-forestry-imports-from-the-u.s.-by-hts-6-digits)

[China's Ag, Fish, and Forestry Exports to the World by Country
8](#chinas-ag-fish-and-forestry-exports-to-the-world-by-country)

[China's Ag, Fish, and Forestry Exports to the World by Departure Area
9](#chinas-ag-fish-and-forestry-exports-to-the-world-by-departure-area)

[China's Ag, Fish, and Forestry Exports to the World by HTS 6 Digits
10](#chinas-ag-fish-and-forestry-exports-to-the-world-by-hts-6-digits)

[China's Ag, Fish, and Forestry Exports to the U.S. by HTS 6 Digits
11](#chinas-ag-fish-and-forestry-exports-to-the-u.s.-by-hts-6-digits)

# Disclaimer

The Agricultural Affairs Office at the U.S. Embassy in Beijing provides
this report for information purposes only. Readers should be aware that
China Customs data in this report will not match other countries' export
statistics due to the timing of exports (e.g., trade recorded in an
exporting country in one month may not show up in China's data until the
following month). Furthermore, values from one country to another will
vary due to disparity in recording methods (e.g., FOB vs. CIF/landed
price). Also, inconsistencies may exist as a result of Hong Kong or
Macau re-export trade to or from China. Finally, some inconsistencies
may result from different classification of goods (e.g., hard wheat from
one country may be classified as durum by China).

"HTS" refers to Harmonized Tariff System. At the two, four, and
six-digit level, tariff line items/descriptions for all countries are
harmonized; more precise categories may differ between countries.
Commodity descriptions are increasingly precise as the number of digits
increase.

Additionally, it is useful to recognize that trade data for many of
these commodities are more accurately depicted on a marketing year
basis, as reported in individual commodity reports.

# Highlights --Still More Beans than Boeings in Q1 2005

  ------------------------- ---------------------------- -------------------------
  **China Customs Reported                               
  Trade in the First Three                               
  Months of 2005**                                       

                            Jan-Mar 2005                 Jan-Mar 2005

                            **[All                       **[Ag, Fish, and
                            Commodities]{.underline}**   Forestry]{.underline}**

  Imports from the World:   \$139.3 billion              \$7.7 billion

  Imports from the U.S.:    \$11.1 billion               \$2.1 billion

  Exports to the World:     \$155.9 billion              \$7.2 billion

  Exports to the U.S.:      \$32.5 billion               \$1.0 billion

  **Source: China Customs**                              
  ------------------------- ---------------------------- -------------------------

At the four-digit HTS level, China's highest value commodity import from
the U.S. remains soybeans (\$1.4 billion), which exceeded the combined
value of the number two and three imports from the U.S.: electronic
integrated circuits (\$810 million) and powered aircraft (\$499
million). Imports of cotton (\$179 million) ranked eighth and
bovine/equine hide and skins (\$128 million) ranked sixteenth.

# China's Ag, Fish, and Forestry Imports from the World by Origin

+---+-------------------+------+------+------+----+----+----+-------+
| * |                   |      |      |      |    |    |    |       |
| * |                   |      |      |      |    |    |    |       |
| T |                   |      |      |      |    |    |    |       |
| o |                   |      |      |      |    |    |    |       |
| p |                   |      |      |      |    |    |    |       |
| 2 |                   |      |      |      |    |    |    |       |
| 5 |                   |      |      |      |    |    |    |       |
| A |                   |      |      |      |    |    |    |       |
| g |                   |      |      |      |    |    |    |       |
| , |                   |      |      |      |    |    |    |       |
| F |                   |      |      |      |    |    |    |       |
| i |                   |      |      |      |    |    |    |       |
| s |                   |      |      |      |    |    |    |       |
| h |                   |      |      |      |    |    |    |       |
| , |                   |      |      |      |    |    |    |       |
| a |                   |      |      |      |    |    |    |       |
| n |                   |      |      |      |    |    |    |       |
| d |                   |      |      |      |    |    |    |       |
| F |                   |      |      |      |    |    |    |       |
| o |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
| e |                   |      |      |      |    |    |    |       |
| s |                   |      |      |      |    |    |    |       |
| t |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
| y |                   |      |      |      |    |    |    |       |
| I |                   |      |      |      |    |    |    |       |
| m |                   |      |      |      |    |    |    |       |
| p |                   |      |      |      |    |    |    |       |
| o |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
| t |                   |      |      |      |    |    |    |       |
| s |                   |      |      |      |    |    |    |       |
| b |                   |      |      |      |    |    |    |       |
| y |                   |      |      |      |    |    |    |       |
| O |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
| i |                   |      |      |      |    |    |    |       |
| g |                   |      |      |      |    |    |    |       |
| i |                   |      |      |      |    |    |    |       |
| n |                   |      |      |      |    |    |    |       |
| ( |                   |      |      |      |    |    |    |       |
| \ |                   |      |      |      |    |    |    |       |
| $ |                   |      |      |      |    |    |    |       |
| M |                   |      |      |      |    |    |    |       |
| i |                   |      |      |      |    |    |    |       |
| l |                   |      |      |      |    |    |    |       |
| l |                   |      |      |      |    |    |    |       |
| i |                   |      |      |      |    |    |    |       |
| o |                   |      |      |      |    |    |    |       |
| n |                   |      |      |      |    |    |    |       |
| ) |                   |      |      |      |    |    |    |       |
| t |                   |      |      |      |    |    |    |       |
| h |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
| o |                   |      |      |      |    |    |    |       |
| u |                   |      |      |      |    |    |    |       |
| g |                   |      |      |      |    |    |    |       |
| h |                   |      |      |      |    |    |    |       |
| M |                   |      |      |      |    |    |    |       |
| a |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
| c |                   |      |      |      |    |    |    |       |
| h |                   |      |      |      |    |    |    |       |
| * |                   |      |      |      |    |    |    |       |
| * |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
|   |                   | **J  | **J  | **J  | *  |    |    | **%   |
|   |                   | an-M | an-M | an-M | *% |    |    | Cha   |
|   |                   | ar** | ar** | ar** | S  |    |    | nge** |
|   |                   |      |      |      | ha |    |    |       |
|   |                   |      |      |      | re |    |    |       |
|   |                   |      |      |      | ** |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| * | **Country**       | **20 | **20 | **20 | ** | ** | ** | **-   |
| * |                   | 03** | 04** | 05** | 20 | 20 | 20 | 05/04 |
| R |                   |      |      |      | 03 | 04 | 05 | -**   |
| a |                   |      |      |      | ** | ** | ** |       |
| n |                   |      |      |      |    |    |    |       |
| k |                   |      |      |      |    |    |    |       |
| * |                   |      |      |      |    |    |    |       |
| * |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
|   | \--World\--       | 5    | 8    | 7    | 10 | 10 | 10 | -8%   |
|   |                   | ,132 | ,362 | ,728 | 0% | 0% | 0% |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 1 | United States     | 1    | 3    | 2    | 3  | 3  | 2  | -32%  |
|   |                   | ,572 | ,102 | ,105 | 1% | 7% | 7% |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 2 | Russia            | 403  | 459  | 647  | 8% | 5% | 8% | 41%   |
+---+-------------------+------+------+------+----+----+----+-------+
| 3 | Australia         | 336  | 443  | 585  | 7% | 5% | 8% | 32%   |
+---+-------------------+------+------+------+----+----+----+-------+
| 4 | Malaysia          | 403  | 542  | 508  | 8% | 6% | 7% | -6%   |
+---+-------------------+------+------+------+----+----+----+-------+
| 5 | Thailand          | 397  | 504  | 491  | 8% | 6% | 6% | -3%   |
+---+-------------------+------+------+------+----+----+----+-------+
| 6 | Canada            | 116  | 319  | 396  | 2% | 4% | 5% | 24%   |
+---+-------------------+------+------+------+----+----+----+-------+
| 7 | Indonesia         | 221  | 308  | 336  | 4% | 4% | 4% | 9%    |
+---+-------------------+------+------+------+----+----+----+-------+
| 8 | Brazil            | 156  | 302  | 316  | 3% | 4% | 4% | 5%    |
+---+-------------------+------+------+------+----+----+----+-------+
| 9 | Argentina         | 100  | 392  | 246  | 2% | 5% | 3% | -37%  |
+---+-------------------+------+------+------+----+----+----+-------+
| 1 | New Zealand       | 160  | 213  | 212  | 3% | 3% | 3% | -1%   |
| 0 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 1 | France            | 99   | 74   | 190  | 2% | 1% | 2% | 157%  |
| 1 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 1 | Peru              | 26   | 67   | 130  | 1% | 1% | 2% | 93%   |
| 2 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 1 | Japan             | 77   | 83   | 94   | 1% | 1% | 1% | 13%   |
| 3 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 1 | Vietnam           | 72   | 86   | 88   | 1% | 1% | 1% | 2%    |
| 4 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 1 | Myanmar           | 40   | 51   | 78   | 1% | 1% | 1% | 52%   |
| 5 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 1 | India             | 35   | 124  | 75   | 1% | 1% | 1% | -40%  |
| 6 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 1 | Uzbekistan        | 15   | 125  | 74   | 0% | 1% | 1% | -41%  |
| 7 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 1 | Chile             | 36   | 54   | 74   | 1% | 1% | 1% | 38%   |
| 8 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 1 | Papua New Guinea  | 40   | 39   | 68   | 1% | 0% | 1% | 74%   |
| 9 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 2 | Germany           | 70   | 58   | 67   | 1% | 1% | 1% | 15%   |
| 0 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 2 | Korea, South      | 38   | 52   | 62   | 1% | 1% | 1% | 20%   |
| 1 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 2 | Denmark           | 37   | 46   | 56   | 1% | 1% | 1% | 22%   |
| 2 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 2 | United Kingdom    | 18   | 29   | 53   | 0% | 0% | 1% | 85%   |
| 3 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 2 | Netherlands       | 28   | 40   | 51   | 1% | 0% | 1% | 27%   |
| 4 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| 2 | Gabon             | 51   | 40   | 47   | 1% | 0% | 1% | 18%   |
| 5 |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+
| # |                   |      |      |      |    |    |    |       |
| # |                   |      |      |      |    |    |    |       |
| # |                   |      |      |      |    |    |    |       |
| # |                   |      |      |      |    |    |    |       |
| # |                   |      |      |      |    |    |    |       |
| # |                   |      |      |      |    |    |    |       |
|   |                   |      |      |      |    |    |    |       |
| S |                   |      |      |      |    |    |    |       |
| o |                   |      |      |      |    |    |    |       |
| u |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
| c |                   |      |      |      |    |    |    |       |
| e |                   |      |      |      |    |    |    |       |
|   |                   |      |      |      |    |    |    |       |
| o |                   |      |      |      |    |    |    |       |
| f |                   |      |      |      |    |    |    |       |
|   |                   |      |      |      |    |    |    |       |
| d |                   |      |      |      |    |    |    |       |
| a |                   |      |      |      |    |    |    |       |
| t |                   |      |      |      |    |    |    |       |
| a |                   |      |      |      |    |    |    |       |
| : |                   |      |      |      |    |    |    |       |
|   |                   |      |      |      |    |    |    |       |
| C |                   |      |      |      |    |    |    |       |
| h |                   |      |      |      |    |    |    |       |
| i |                   |      |      |      |    |    |    |       |
| n |                   |      |      |      |    |    |    |       |
| a |                   |      |      |      |    |    |    |       |
|   |                   |      |      |      |    |    |    |       |
| C |                   |      |      |      |    |    |    |       |
| u |                   |      |      |      |    |    |    |       |
| s |                   |      |      |      |    |    |    |       |
| t |                   |      |      |      |    |    |    |       |
| o |                   |      |      |      |    |    |    |       |
| m |                   |      |      |      |    |    |    |       |
| s |                   |      |      |      |    |    |    |       |
| , |                   |      |      |      |    |    |    |       |
|   |                   |      |      |      |    |    |    |       |
| C |                   |      |      |      |    |    |    |       |
| a |                   |      |      |      |    |    |    |       |
| l |                   |      |      |      |    |    |    |       |
| e |                   |      |      |      |    |    |    |       |
| n |                   |      |      |      |    |    |    |       |
| d |                   |      |      |      |    |    |    |       |
| a |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
|   |                   |      |      |      |    |    |    |       |
| Y |                   |      |      |      |    |    |    |       |
| e |                   |      |      |      |    |    |    |       |
| a |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
|   |                   |      |      |      |    |    |    |       |
| J |                   |      |      |      |    |    |    |       |
| a |                   |      |      |      |    |    |    |       |
| n |                   |      |      |      |    |    |    |       |
| u |                   |      |      |      |    |    |    |       |
| a |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
| y |                   |      |      |      |    |    |    |       |
|   |                   |      |      |      |    |    |    |       |
| t |                   |      |      |      |    |    |    |       |
| h |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
| o |                   |      |      |      |    |    |    |       |
| u |                   |      |      |      |    |    |    |       |
| g |                   |      |      |      |    |    |    |       |
| h |                   |      |      |      |    |    |    |       |
|   |                   |      |      |      |    |    |    |       |
| M |                   |      |      |      |    |    |    |       |
| a |                   |      |      |      |    |    |    |       |
| r |                   |      |      |      |    |    |    |       |
| c |                   |      |      |      |    |    |    |       |
| h |                   |      |      |      |    |    |    |       |
+---+-------------------+------+------+------+----+----+----+-------+

# China's Ag, Fish, and Forestry Imports from the World by Entering Area

  ------------- -------------- ------------- ------------- ------------- ---------- ---------- ---------- ----------
  **Top 25 Ag,                                                                                            
  Fish, and                                                                                               
  Forestry                                                                                                
  Imports by                                                                                              
  Port                                                                                                    
  Territory                                                                                               
  (\$Million)                                                                                             
  through                                                                                                 
  March**                                                                                                 

  ** **         ** **          **Jan-Mar**   **Jan-Mar**   **Jan-Mar**   **%                              **%
                                                                         Share**                          Change**

  **Rank**      **District**   **2003**      **2004**      **2005**      **2003**   **2004**   **2005**   **- 05/04
                                                                                                          -**

                -All           5,132         8,362         7,728         100%       100%       100%       -8%
                Districts-                                                                                

  1             Qingdao        932           1,687         1,490         18%        20%        19%        -12%

  2             Nanjing        779           1,232         1,136         15%        15%        15%        -8%

  3             Shanghai       719           1,242         1,085         14%        15%        14%        -13%

  4             Dalian         236           310           499           5%         4%         6%         61%

  5             Tianjin        285           774           490           6%         9%         6%         -37%

  6             Huangpu        248           526           486           5%         6%         6%         -8%

  7             Shenzhen       514           662           409           10%        8%         5%         -38%

  8             Guangzhou      308           231           238           6%         3%         3%         3%

  9             Shijiazhuang   52            65            200           1%         1%         3%         209%

  10            Xiamen         88            169           179           2%         2%         2%         6%

  11            Ningbo         157           239           171           3%         3%         2%         -29%

  12            Harbin         105           123           162           2%         1%         2%         32%

  13            Manzhouli      101           147           161           2%         2%         2%         9%

  14            Nanning        119           197           158           2%         2%         2%         -20%

  15            Hangzhou       72            110           140           1%         1%         2%         28%

  16            Fuzhou         43            72            100           1%         1%         1%         38%

  17            Zhanjiang      51            116           93            1%         1%         1%         -20%

  18            Kunming        39            49            82            1%         1%         1%         68%

  19            Jiangmen       26            31            77            1%         0%         1%         147%

  20            Gongbei        61            88            75            1%         1%         1%         -15%

  21            Hohhot         38            42            55            1%         1%         1%         30%

  22            Zhengzhou      19            25            39            0%         0%         1%         57%

  23            Beijing        37            47            37            1%         1%         0%         -21%

  24            Urumqi         19            41            35            0%         0%         0%         -14%

  25            Chongqing      1             2             26            0%         0%         0%         1260%

  **Source of                                                                                             
  data: China                                                                                             
  Customs,                                                                                                
  Calendar                                                                                                
  Year, January                                                                                           
  through                                                                                                 
  March**                                                                                                 
  ------------- -------------- ------------- ------------- ------------- ---------- ---------- ---------- ----------

# China's Ag, Fish, and Forestry Imports from the World by HTS 6 Digits

  -------------- ------------------------------------- ------------- ------------- ------------- ----------
  **Top 25 Ag,                                                                                   
  Fish, and                                                                                      
  Forestry                                                                                       
  Imports at HTS                                                                                 
  6 Digits from                                                                                  
  the World                                                                                      
  (\$Million)                                                                                    
  through                                                                                        
  March**                                                                                        

  ** **          ** **                                 **Jan-Mar**   **Jan-Mar**   **Jan-Mar**   **%
                                                                                                 Change**

  **HS**         **Description**                       **2003**      **2004**      **2005**      **- 05/04
                                                                                                 -**

  **China\'s                                           **5,132**     **8,362**     **7,728**     **-8%**
  Imports of                                                                                     
  Worldwide Ag,                                                                                  
  Fish, and                                                                                      
  Forestry**                                                                                     

  All                                                  3,724         6,863         5,826         -15%
  Agricultural                                                                                   
  Products                                                                                       
  (BICO)                                                                                         

  All Aquatic                                          348           382           611           60%
  (edible)                                                                                       

  All Forest                                           1,060         1,118         1,292         16%
  Products                                                                                       
  (excluding                                                                                     
  pulp and                                                                                       
  paper)                                                                                         

   120100        Soybeans                              972           1,908         1,519         -20%

   520100        Cotton, not carded or combed          173           1,242         337           -73%

   440320        Wood, coniferous, in the rough, not   226           257           304           18%
                 treated                                                                         

   151190        Palm Oil, refined, not chemically     224           355           303           -14%
                 modified                                                                        

   440399        Wood, nonconiferous, in the rough,    206           179           247           38%
                 not treated                                                                     

   100190        Wheat (anything other than Durum) and 0             7             246           3377%
                 Meslin                                                                          

   030360        Cod, frozen, excluding fillets        122           128           228           78%

   510111        Wool, not carded or combed, greasy    165           166           226           36%
                 and shorn                                                                       

   400122        Rubber, technically specified natural 106           172           222           28%
                 (TSNR)                                                                          

   150710        Soybean Oil, crude, not chemically    123           438           199           -55%
                 modified                                                                        

   410150        Hides and Skins, whole, bovine or     111           167           184           10%
                 equine, \>16kg                                                                  

   230120        Fish or Crustacean, meal and pellets, 52            103           173           69%
                 inedible                                                                        

   100110        Wheat, Durum (not only Durum, but any 16            46            172           274%
                 hard wheat)                                                                     

   440349        Wood, other tropical, in the rough,   138           152           146           -5%
                 not treated                                                                     

   240120        Tobacco, partly or wholly             131           60            143           138%
                 stemmed/stripped                                                                

   440799        Wood, nonconiferous, sawn, sliced,    129           142           130           -9%
                 \>6m                                                                            

   100300        Barley                                81            68            118           75%

   400121        Rubber, natural, in smoked sheets     137           147           118           -20%

   071410        Cassava (Manioc), fresh or dried,     57            96            107           11%
                 w/nt pellet                                                                     

   440729        Wood, other tropical, sawn/chipped    63            66            84            28%
                 lengthwise                                                                      

   030379        Fish, frozen, with bones, nesoi       54            42            72            71%

   440710        Wood, coniferous, sawn/sliced \>6mm   41            56            69            23%

   410210        Hides and Skins, sheep, wool-on,      29            35            60            72%
                 fresh, not tanned                                                               

   530121        Flax, broken or scutched              38            47            53            13%

   100630        Rice, semi-or wholly milled, polished 48            64            51            -20%

  **Source of                                                                                    
  data: China                                                                                    
  Customs,                                                                                       
  Calendar Year,                                                                                 
  January                                                                                        
  through                                                                                        
  March**                                                                                        
  -------------- ------------------------------------- ------------- ------------- ------------- ----------

# China's Ag, Fish, and Forestry Imports from the U.S. by HTS 6 Digits

  -------------- ----------------------------------------- ------------- ------------- ------------- ----------
  **Top 25 Ag,                                                                                       
  Fish, and                                                                                          
  Forestry                                                                                           
  Imports at HTS                                                                                     
  6 Digits from                                                                                      
  the U.S.                                                                                           
  (\$Million)                                                                                        
  through                                                                                            
  March**                                                                                            

  ** **          ** **                                     **Jan-Mar**   **Jan-Mar**   **Jan-Mar**   **%
                                                                                                     Change**

  **HS**         **Description**                           **2003**      **2004**      **2005**      **- 05/04
                                                                                                     -**

  **China\'s                                               **1,572**     **3,102**     **2,105**     **-32%**
  Imports of                                                                                         
  U.S. Ag, Fish,                                                                                     
  and Forestry**                                                                                     

  All                                                      1,489         2,978         1,953         -34%
  Agricultural                                                                                       
  Products                                                                                           
  (BICO)                                                                                             

  All Aquatic                                              19            45            63            42%
  (edible)                                                                                           

  All Forest                                               64            80            89            12%
  Products                                                                                           
  (excluding                                                                                         
  pulp and                                                                                           
  paper)                                                                                             

   120100        Soybeans                                  923           1,798         1,393         -23%

   520100        Cotton, not carded or combed              121           778           179           -77%

   410150        Hides and Skins, whole, bovine or equine, 80            110           118           7%
                 \>16kg                                                                              

   440799        Wood, nonconiferous, sawn, sliced, \>6m   35            38            40            5%

   100190        Wheat (anything other than Durum) and     0             0             34            0%
                 Meslin                                                                              

   210690        Food Preparations, nesoi                  24            25            16            -33%

   030380        Fish, livers and roes, frozen             1             6             15            137%

   440399        Wood, nonconiferous, in the rough, not    7             12            15            27%
                 treated                                                                             

   020649        Swine, frozen, edible offal, except       19            13            13            -2%
                 livers                                                                              

   030360        Cod, frozen, excluding fillets            3             13            12            -3%

   020714        Chicken, frozen, cuts and edible offal    88            52            12            -77%
                 incl.livers                                                                         

   030749        Cuttlefish and Squid, frozen, dried,      1             6             11            103%
                 salted or brined                                                                    

   230990        Animal Feed, excluding dog or cat, retail 9             9             11            21%
                 packages                                                                            

   040410        Whey and Mod. Whey, whether concentrated  5             5             10            103%
                 w/added sweetener                                                                   

   050400        Animal guts, bladders, stomachs and parts 22            7             9             33%

   100110        Wheat, Durum (not only Durum, but any     4             5             9             86%
                 hard wheat)                                                                         

   200410        Potatoes, frozen, prepared, etc.          8             8             9             11%

   440791        Wood, Oak, sawn, sliced \>6mm             4             6             8             31%

   410330        Hides and Skins, swine, not pretanned or  0             2             8             285%
                 salted                                                                              

   080810        Apples, fresh                             5             7             8             5%

   330210        Food and drink, mixtures, odiferous       3             2             7             220%
                 substances                                                                          

   030332        Plaice, frozen, excluding fillets         3             5             7             57%

   030614        Crabs, frozen, including in-shell         6             9             7             -24%

   410190        Hides and Skins, butts/bends/bellies,     22            16            6             -66%
                 bovine or equine                                                                    

   440890        Wood, Veneer Sheets, nonconiferous,       5             5             5             5%
                 \<6mm, nesoi                                                                        

  **Source of                                                                                        
  data: China                                                                                        
  Customs,                                                                                           
  Calendar Year,                                                                                     
  January                                                                                            
  through                                                                                            
  March**                                                                                            
  -------------- ----------------------------------------- ------------- ------------- ------------- ----------

# China's Ag, Fish, and Forestry Exports to the World by Country

  ------------- ------------------ ------------- ------------- ------------- ---------- ---------- ---------- ----------
  **Top 25 Ag,                                                                                                
  Fish, and                                                                                                   
  Forestry                                                                                                    
  Exports by                                                                                                  
  Country                                                                                                     
  (\$Million)                                                                                                 
  through                                                                                                     
  March**                                                                                                     

  ** **         ** **              **Jan-Mar**   **Jan-Mar**   **Jan-Mar**   **%                              **%
                                                                             Share**                          Change**

  **Rank**      **Country**        **2003**      **2004**      **2005**      **2003**   **2004**   **2005**   **- 05/04
                                                                                                              -**

                \--World\--        5,181         6,013         7,206         100%       100%       100%       20%

  1             Japan              1,479         1,770         2,032         29%        29%        28%        15%

  2             United States      565           774           957           11%        13%        13%        24%

  3             Korea, South       546           513           696           11%        9%         10%        36%

  4             Hong Kong          529           640           639           10%        11%        9%         0%

  5             Germany            156           187           248           3%         3%         3%         33%

  6             Russia             149           138           186           3%         2%         3%         34%

  7             Malaysia           137           126           156           3%         2%         2%         24%

  8             Netherlands        103           123           156           2%         2%         2%         27%

  9             United Kingdom     87            105           138           2%         2%         2%         31%

  10            Canada             62            92            121           1%         2%         2%         31%

  11            Taiwan             91            99            116           2%         2%         2%         17%

  12            Spain              33            52            102           1%         1%         1%         98%

  13            Indonesia          126           92            96            2%         2%         1%         5%

  14            Italy              62            60            89            1%         1%         1%         47%

  15            Singapore          71            71            78            1%         1%         1%         10%

  16            Vietnam            65            49            72            1%         1%         1%         46%

  17            Korea, North       34            51            71            1%         1%         1%         42%

  18            Belgium            33            35            71            1%         1%         1%         100%

  19            Australia          42            62            70            1%         1%         1%         13%

  20            Philippines        52            78            68            1%         1%         1%         -12%

  21            Thailand           46            64            66            1%         1%         1%         4%

  22            France             38            48            63            1%         1%         1%         30%

  23            United Arab        23            44            60            0%         1%         1%         36%
                Emirates                                                                                      

  24            India              49            49            58            1%         1%         1%         19%

  25            Mexico             18            30            42            0%         1%         1%         41%

  **Source of                                                                                                 
  data: China                                                                                                 
  Customs,                                                                                                    
  Calendar                                                                                                    
  Year, January                                                                                               
  through                                                                                                     
  March**                                                                                                     
  ------------- ------------------ ------------- ------------- ------------- ---------- ---------- ---------- ----------

# China's Ag, Fish, and Forestry Exports to the World by Departure Area

  ------------- -------------- ------------- ------------- ------------- ---------- ---------- ---------- ----------
  **Top 25 Ag,                                                                                            
  Fish, and                                                                                               
  Forestry                                                                                                
  Exporting                                                                                               
  Port                                                                                                    
  Territories                                                                                             
  (\$Million)                                                                                             
  through                                                                                                 
  March**                                                                                                 

  ** **         ** **          **Jan-Mar**   **Jan-Mar**   **Jan-Mar**   **%                              **%
                                                                         Share**                          Change**

  **Rank**      **District**   **2003**      **2004**      **2005**      **2003**   **2004**   **2005**   **- 05/04
                                                                                                          -**

                -All           5,181         6,013         7,206         100%       100%       100%       20%
                Districts-                                                                                

  1             Qingdao        1,116         1,339         1,735         22%        22%        24%        30%

  2             Dalian         871           804           1,029         17%        13%        14%        28%

  3             Shanghai       584           783           929           11%        13%        13%        19%

  4             Shenzhen       474           567           604           9%         9%         8%         6%

  5             Tianjin        426           473           558           8%         8%         8%         18%

  6             Xiamen         236           345           417           5%         6%         6%         21%

  7             Ningbo         268           335           396           5%         6%         6%         18%

  8             Nanjing        209           227           260           4%         4%         4%         14%

  9             Fuzhou         146           186           211           3%         3%         3%         13%

  10            Huangpu        128           149           177           2%         2%         2%         19%

  11            Guangzhou      105           146           146           2%         2%         2%         0%

  12            Shantou        60            80            74            1%         1%         1%         -7%

  13            Gongbei        50            60            71            1%         1%         1%         19%

  14            Nanning        49            50            60            1%         1%         1%         20%

  15            Zhanjiang      34            54            57            1%         1%         1%         6%

  16            Harbin         66            54            54            1%         1%         1%         -1%

  17            Jiangmen       31            40            43            1%         1%         1%         7%

  18            Changchun      28            20            42            1%         0%         1%         106%

  19            Shijiazhuang   43            32            41            1%         1%         1%         27%

  20            Chongqing      21            33            35            0%         1%         0%         5%

  21            Haikou         22            39            33            0%         1%         0%         -16%

  22            Wuhan          25            36            32            0%         1%         0%         -10%

  23            Nanchang       10            20            25            0%         0%         0%         27%

  24            Shenyang       53            19            24            1%         0%         0%         30%

  25            Kunming        15            21            24            0%         0%         0%         14%

  **Source of                                                                                             
  data: China                                                                                             
  Customs,                                                                                                
  Calendar                                                                                                
  Year, January                                                                                           
  through                                                                                                 
  March**                                                                                                 
  ------------- -------------- ------------- ------------- ------------- ---------- ---------- ---------- ----------

# China's Ag, Fish, and Forestry Exports to the World by HTS 6 Digits

  -------------- ---------------------------------------- ------------- ------------- ------------- ----------
  **Top 25 Ag,                                                                                      
  Fish, and                                                                                         
  Forestry                                                                                          
  Exports to the                                                                                    
  World by HTS 6                                                                                    
  Digits                                                                                            
  (\$Million)                                                                                       
  through                                                                                           
  March**                                                                                           

  ** **          ** **                                    **Jan-Mar**   **Jan-Mar**   **Jan-Mar**   **%
                                                                                                    Change**

  **HS**         **Description**                          **2003**      **2004**      **2005**      **- 05/04
                                                                                                    -**

  **China\'s                                              **5,181**     **6,013**     **7,206**     **20%**
  Exports of Ag,                                                                                    
  Fish, and                                                                                         
  Forestry to                                                                                       
  the World**                                                                                       

  All                                                     3,530         3,817         4,454         17%
  Agricultural                                                                                      
  Products                                                                                          
  (BICO)                                                                                            

  All Aquatic                                             931           1,252         1,472         18%
  (edible)                                                                                          

  All Forest                                              720           945           1,280         36%
  Products                                                                                          
  (excluding                                                                                        
  pulp and                                                                                          
  paper)                                                                                            

   030420        Fish, frozen fillets                     219           291           353           21%

   160419        Fish, prepared or preserved, whole or in 172           250           254           2%
                 pieces                                                                             

   100590        Corn (Maize), other than seed            411           119           220           84%

   442190        Wood, articles, nesoi                    151           177           214           21%

   441219        Wood, plywood, both outer layers         41            75            147           95%
                 conferous, \<6mm both sides                                                        

   160590        Molluscs, prepared or preseverd          70            93            139           50%

   030379        Fish, frozen, with bones, nesoi          86            109           136           26%

   200979        Apple Juice, nesoi, not fortified,       66            102           123           20%
                 unfermented                                                                        

   050400        Animal (not fish) guts, bladders,        78            125           119           -5%
                 stomachs, parts                                                                    

   441229        Wood, plywood, 1 outer layer hardwood,   20            45            118           162%
                 nesoi                                                                              

   200590        Vegetables and mix., nesoi, prepared or  66            89            117           31%
                 preserved, not frozen                                                              

   160232        Chicken meat or offal, prepared or       99            41            115           182%
                 preserved, nesoi                                                                   

   070320        Garlic, fresh or chilled                 76            84            108           29%

   160520        Shrimp and Prawns, prepared or preserved 43            91            103           14%

   020329        Swine meat, frozen, nesoi                52            68            101           47%

   071290        Vegetables and mixtures, nesoi, dried    78            79            91            16%

   440920        Wood, nonconiferous, tongued, grooved,   31            27            91            239%
                 or molded                                                                          

   120220        Peanuts, raw, shelled, broken or not     83            77            88            14%

   200310        Mushrooms, prepared or preserved,        78            93            78            -17%
                 excluding vinegar                                                                  

   080810        Apples, fresh                            49            69            76            9%

   050510        Down, for stuffing,                      42            74            75            2%
                 cleaned/disinfected/treated                                                        

   200811        Peanuts, preapred or preserved, nesoi    55            62            75            20%

   200290        Tomato Paste                             43            51            73            44%

   071333        Kidney Beans and White Pea Beans,        60            53            71            35%
                 shelled, dried                                                                     

   442010        Wood, statuettes and other ornaments     52            63            71            13%

  **Source of                                                                                       
  data: China                                                                                       
  Customs,                                                                                          
  Calendar Year,                                                                                    
  January                                                                                           
  through                                                                                           
  March**                                                                                           
  -------------- ---------------------------------------- ------------- ------------- ------------- ----------

# China's Ag, Fish, and Forestry Exports to the U.S. by HTS 6 Digits

  -------------- ---------------------------------------- ------------- ------------- ------------- ----------
  **Top 25 Ag,                                                                                      
  Fish, and                                                                                         
  Forestry                                                                                          
  Exports to the                                                                                    
  U.S. by HTS 6                                                                                     
  Digits                                                                                            
  (\$Million)                                                                                       
  through                                                                                           
  March**                                                                                           

  ** **          ** **                                    **Jan-Mar**   **Jan-Mar**   **Jan-Mar**   **%
                                                                                                    Change**

  **HS**         **Description**                          **2003**      **2004**      **2005**      **- 05/04
                                                                                                    -**

  **China\'s                                              **565**       **774**       **957**       **24%**
  Exports of Ag,                                                                                    
  Fish, and                                                                                         
  Forestry to                                                                                       
  the U.S.**                                                                                        

  All                                                     234           331           373           13%
  Agricultural                                                                                      
  Products                                                                                          
  (BICO)                                                                                            

  All Aquatic                                             156           200           222           11%
  (edible)                                                                                          

  All Forest                                              175           244           363           49%
  Products                                                                                          
  (excluding                                                                                        
  pulp and                                                                                          
  paper)                                                                                            

   030420        Fish, frozen fillets                     66            81            114           40%

   442190        Wood, articles, nesoi                    47            56            66            19%

   200979        Apple Juice, nesoi, not fortified,       26            51            50            -1%
                 unfermented                                                                        

   441229        Wood, plywood, 1 outer layer hardwood,   8             19            50            166%
                 nesoi                                                                              

   441219        Wood, plywood, both outer layers         7             21            44            110%
                 conferous, \<6mm                                                                   

   050510        Down, for stuffing,                      18            33            34            1%
                 cleaned/disinfected/treated                                                        

   442010        Wood, statuettes and other ornaments     24            27            28            3%

   440920        Wood, nonconiferous, tongued, grooved,   7             5             27            496%
                 or molded                                                                          

   441400        Wooden, frames, paintings, mirrors, etc. 23            23            27            18%

   441820        Wooden, doors and doorframes and         5             13            24            84%
                 thresholds                                                                         

   200830        Citrus fruit (incl. Mixtures), prepared, 19            21            20            -1%
                 etc. nesoi                                                                         

   050400        Animal (not fish) guts, bladders,        13            19            20            9%
                 stomachs, parts                                                                    

   160590        Molluscs, prepared or preseverd          6             7             17            167%

   441213        Wood, plywood at least one outer layer   3             11            17            58%
                 tropical                                                                           

   160520        Shrimp and Prawns, prepared or preserved 29            20            16            -20%

   071290        Vegetables and mixtures, nesoi, dried    15            14            16            10%

   160510        Crab, prepared or preserved              5             10            15            53%

   441119        Wood, fiberboard and lign. material      0             1             12            748%
                 density \>.8g/cm3, nesoi                                                           

   160419        Fish, prepared or preserved, whole or in 6             6             11            74%
                 pieces                                                                             

   441900        Wood, tableware and kitchenware          8             8             11            37%

   200590        Vegetables and mix., nesoi, prepared or  5             9             10            18%
                 preserved, not frozen                                                              

   441890        Wood, builders joinery and carpentry,    3             6             10            60%
                 nesoi                                                                              

   442090        Wood, marquetry, caskets, cases, etc.    8             9             9             4%

   070320        Garlic, fresh or chilled                 6             6             9             57%

   210690        Food Preparations, nesoi                 6             12            9             -29%

  **Source of                                                                                       
  data: China                                                                                       
  Customs,                                                                                          
  Calendar Year,                                                                                    
  January                                                                                           
  through                                                                                           
  March**                                                                                           
  -------------- ---------------------------------------- ------------- ------------- ------------- ----------