Balanced international merchandise trade statistics (BIMTS) - HS2017-2D by country

The OECD Balanced International Merchandise Trade Statistics (BIMTS) dataset provides a complete, consistent, and balanced matrix of international merchandise trade statistics. It includes annual bilateral data for approximately 200 reporters and partners, covering around 98 products in HS2017 at the 2-digit level...

Countries reporting
96
Highest
808.05 US dollars, exchange rate converted
United States
Lowest
0.0001 US dollars, exchange rate converted
Malta
Median
0.3411 US dollars, exchange rate converted
Years covered
30
1995–2024
Data points
2,446

What the numbers show

Balanced international merchandise trade statistics (BIMTS) - HS2017-2D is currently reported for 96 countries. The highest value is 808.05 US dollars, exchange rate converted in United States; the lowest is 0.0001 US dollars, exchange rate converted in Malta.

The median across all reporting countries is 0.3411 US dollars, exchange rate converted, and the mean is 13.72 US dollars, exchange rate converted.

Over the past decade 49 countries rose and 46 fell. The largest increase was in Mongolia (up 25,934.6%), and the largest decrease in Malta (down 99.9%).

Balanced international merchandise trade statistics (BIMTS): full country ranking

#Country LatestYear 10-year changeTrend
1 United States 808.05 US dollars, exchange rate converted 2024 down 42.3% rising
2 China 83.14 US dollars, exchange rate converted 2024 up 42.5% volatile
3 Panama 54.26 US dollars, exchange rate converted 2024 down 31.9% volatile
4 Colombia 47.21 US dollars, exchange rate converted 2024 down 95.9% volatile
5 Brazil 41.24 US dollars, exchange rate converted 2024 down 85.4% volatile
6 Spain 34.83 US dollars, exchange rate converted 2024 up 91.2% volatile
7 Costa Rica 23.06 US dollars, exchange rate converted 2024 up 19.9% volatile
8 Mexico 21.64 US dollars, exchange rate converted 2024 up 86.7% volatile
9 Italy 18.52 US dollars, exchange rate converted 2024 up 100.3% volatile
10 Sudan 15.98 US dollars, exchange rate converted 2023 up 1,108.5% volatile
11 Switzerland 14.23 US dollars, exchange rate converted 2024 down 63.0% volatile
12 United Kingdom 12.11 US dollars, exchange rate converted 2024 down 82.4% volatile
13 India 10.93 US dollars, exchange rate converted 2024 up 276.3% volatile
14 France 10.66 US dollars, exchange rate converted 2024 down 48.7% volatile
15 Dominican Republic 9.55 US dollars, exchange rate converted 2024 down 6.9% volatile
16 Uruguay 8.67 US dollars, exchange rate converted 2024 up 157.9% volatile
17 Germany 8.29 US dollars, exchange rate converted 2024 up 2.4% volatile
18 Paraguay 8.22 US dollars, exchange rate converted 2024 down 0.2% volatile
19 Trinidad and Tobago 8.07 US dollars, exchange rate converted 2024 down 67.0% volatile
20 Hong Kong (China) 7.25 US dollars, exchange rate converted 2024 up 25.2% rising
21 Peru 7.23 US dollars, exchange rate converted 2024 down 86.5% volatile
22 Portugal 5.78 US dollars, exchange rate converted 2024 up 371.4% volatile
23 Canada 5.47 US dollars, exchange rate converted 2024 down 29.1% volatile
24 Indonesia 5.24 US dollars, exchange rate converted 2024 up 488.4% volatile
25 Belgium 4.91 US dollars, exchange rate converted 2024 up 125.5% rising
26 Thailand 4.5 US dollars, exchange rate converted 2024 up 1.2% volatile
27 Finland 4.49 US dollars, exchange rate converted 2024 up 1,711.8% volatile
28 Argentina 3.99 US dollars, exchange rate converted 2024 up 246.9% volatile
29 United Arab Emirates 3.94 US dollars, exchange rate converted 2024 up 2,293.1% volatile
30 Japan 3.56 US dollars, exchange rate converted 2016 up 36.2% rising
31 Chile 1.76 US dollars, exchange rate converted 2024 down 9.8% rising
32 Guatemala 1.75 US dollars, exchange rate converted 2024 down 95.3% volatile
33 Denmark 1.61 US dollars, exchange rate converted 2024 up 61.5% volatile
34 Ecuador 1.41 US dollars, exchange rate converted 2024 up 252.8% volatile
35 Austria 1.39 US dollars, exchange rate converted 2024 up 180.1% volatile
36 Venezuela, Bolivarian Republic of 1.39 US dollars, exchange rate converted 2018 down 95.8% volatile
37 South Africa 1.22 US dollars, exchange rate converted 2024 up 336.1% volatile
38 Jamaica 1.21 US dollars, exchange rate converted 2024 down 11.6% volatile
39 Suriname 1.19 US dollars, exchange rate converted 2024 up 33.3% volatile
40 Barbados 1.03 US dollars, exchange rate converted 2024 up 1.3% flat
41 Sweden 1.01 US dollars, exchange rate converted 2024 up 27.3% volatile
42 Taïwan 0.9298 US dollars, exchange rate converted 2024 up 19.5% volatile
43 New Zealand 0.911 US dollars, exchange rate converted 2024 down 7.8% volatile
44 Ireland 0.6459 US dollars, exchange rate converted 2024 up 984.2% volatile
45 Greece 0.4791 US dollars, exchange rate converted 2024 up 186.8% volatile
46 Singapore 0.4376 US dollars, exchange rate converted 2024 up 113.9% volatile
47 Pakistan 0.3778 US dollars, exchange rate converted 2024 up 3,434.8% volatile
48 Yemen 0.3633 US dollars, exchange rate converted 2016 up 838.9% volatile
49 Norway 0.3189 US dollars, exchange rate converted 2024 up 173.0% volatile
50 Israel 0.2568 US dollars, exchange rate converted 2022 up 85.3% volatile
51 Philippines 0.2526 US dollars, exchange rate converted 2024 down 19.1% volatile
52 Bermuda 0.1944 US dollars, exchange rate converted 2008 up 846.9% volatile
53 Saudi Arabia 0.1735 US dollars, exchange rate converted 2024 down 99.1% volatile
54 Mongolia 0.1731 US dollars, exchange rate converted 2016 up 25,934.6% volatile
55 Australia 0.1657 US dollars, exchange rate converted 2008 down 30.2% rising
56 El Salvador 0.1653 US dollars, exchange rate converted 2024 down 18.2% volatile
57 Malaysia 0.1421 US dollars, exchange rate converted 2024 down 76.6% volatile
58 Cyprus 0.1152 US dollars, exchange rate converted 2024 down 3.2% volatile
59 Czechia 0.1135 US dollars, exchange rate converted 2024 down 13.6% volatile
60 Guyana 0.1105 US dollars, exchange rate converted 2024 up 581.1% volatile
61 Bulgaria 0.0781 US dollars, exchange rate converted 2024 up 565.3% volatile
62 Lao People's Democratic Republic 0.0763 US dollars, exchange rate converted 2023 up 162.1% volatile
63 Hungary 0.0706 US dollars, exchange rate converted 2024 down 41.5% volatile
64 Nicaragua 0.0643 US dollars, exchange rate converted 2024 down 39.4% volatile
65 Lebanon 0.0641 US dollars, exchange rate converted 2024 up 91.7% volatile
66 Bahamas 0.0542 US dollars, exchange rate converted 2024 down 91.9% volatile
67 Macau (China) 0.0493 US dollars, exchange rate converted 2008 up 4,036.4% volatile
68 Honduras 0.0479 US dollars, exchange rate converted 2024 down 91.6% volatile
69 Bolivia, Plurinational State of 0.0479 US dollars, exchange rate converted 2022 up 4,991.5% volatile
70 Bahrain 0.0455 US dollars, exchange rate converted 2008 down 27.3% volatile
71 Russia 0.0407 US dollars, exchange rate converted 2023 down 99.8% volatile
72 Iran (Islamic Republic of) 0.0352 US dollars, exchange rate converted 2010 up 35.3% volatile
73 Belize 0.0313 US dollars, exchange rate converted 2024 up 353.1% volatile
74 Cuba 0.028 US dollars, exchange rate converted 2021 up 250.8% volatile
75 Haiti 0.0235 US dollars, exchange rate converted 2008 up 58.5% volatile
76 Dominica 0.0233 US dollars, exchange rate converted 2017 down 72.9% volatile
77 Liberia 0.0192 US dollars, exchange rate converted 2007 down 82.1% volatile
78 Oman 0.0162 US dollars, exchange rate converted 2024 rising
79 Romania 0.0053 US dollars, exchange rate converted 2024 down 62.0% volatile
80 Luxembourg 0.0049 US dollars, exchange rate converted 2024 up 1,077.1% volatile
81 Grenada 0.0043 US dollars, exchange rate converted 2018 up 16.1% volatile
82 Vanuatu 0.003 US dollars, exchange rate converted 2015 down 50.2% falling
83 Ukraine 0.0026 US dollars, exchange rate converted 2021 down 99.8% volatile
84 Morocco 0.0026 US dollars, exchange rate converted 2024 down 42.1% volatile
85 Sri Lanka 0.0022 US dollars, exchange rate converted 2024 up 5,052.8% volatile
86 Cambodia 0.0021 US dollars, exchange rate converted 2017 down 93.2% volatile
87 Azerbaijan 0.0019 US dollars, exchange rate converted 2024 down 88.7% volatile
88 Qatar 0.0018 US dollars, exchange rate converted 2012 down 67.7% volatile
89 Iceland 0.0012 US dollars, exchange rate converted 2024 down 98.0% volatile
90 Saint Lucia 0.0012 US dollars, exchange rate converted 2020 down 86.9% volatile
91 Bosnia and Herzegovina 0.0012 US dollars, exchange rate converted 2010 up 1,778.0% volatile
92 Saint Kitts and Nevis 0.001 US dollars, exchange rate converted 2016 down 59.6% volatile
93 Belarus 0.0009 US dollars, exchange rate converted 2023 down 84.9% volatile
94 Saint Vincent and the Grenadines 0.0002 US dollars, exchange rate converted 2020 down 99.7% volatile
95 Antigua and Barbuda 0.0002 US dollars, exchange rate converted 2024 down 99.5% volatile
96 Malta 0.0001 US dollars, exchange rate converted 2019 down 99.9% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Balanced international merchandise trade statistics (BIMTS) by country. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 21 August 2026, from https://economy.statizoid.com/stat/balanced-international-merchandise-trade-statistics-bimts-hs2017-2d/

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About this data

Indicator
Balanced international merchandise trade statistics (BIMTS) - HS2017-2D
Unit
US dollars, exchange rate converted
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
112 places, 2,446 data points, 1995–2024
Last refreshed

The OECD Balanced International Merchandise Trade Statistics (BIMTS) dataset provides a complete, consistent, and balanced matrix of international merchandise trade statistics. It includes annual bilateral data for approximately 200 reporters and partners, covering around 98 products in HS2017 at the 2-digit level from 1995 to 2024. BIMTS is also available in the HS 2017 classification at 4-digit and 6-digit levels of aggregation currently available via the Related Files (bottom of the page) and also in the Statistical Classification of Products by Activity (CPA 2.1) at the 2-digit level of aggregation. BIMTS is complete and consistent. The OECD methodology leverages all available official statistics and combines them with estimations and adjustments to provide users with a complete matrix covering virtually all economies in the world. To provide users with consistent and long time series, the data is presented according to either HS2017 or CPA 2.1. BIMTS is balanced. The OECD has developed a transparent approach to reconcile asymmetries in international merchandise trade statistics. A sequence of adjustments, documented in the BIMTS technical paper, significantly reduces asymmetries in the dataset before the final balancing procedure is performed. An important feature of BIMTS is a novel algorithm which identifies re-export flows and reallocates them to the producer countries before the balancing. To avoid double counting of flows between producers and trade hubs (already accounted for in the trade between producers and final users), BIMTS breaks down the final balanced values into a domestic component and a re-exports component. Users will therefore find two different measures of balanced trade flows (under the ‘Adjustment’ dimension): Total balanced value: Represents the total reconciled bilateral trade flow, including re-exports. Balanced value adjusted for re-exports: Represents the reconciled bilateral trade flow, adjusted for re-exports. This adjusted value is deemed to more accurately reflect economic reality and is therefore the preferred measure. In this database, the Reference area denotes the exporter, while the Counterpart area denotes the importer. Because the data are balanced, exports from the exporter to the importer equal imports by the importer from the exporter, and the flow is therefore recorded only once. Note that zero trade flows are represented in BIMTS as missing records (marked as “..”). This approach reduces the dataset size and improves processing times in the OECD Data Explorer. For convenience, users can also retrieve data for total merchandise (“_T”, denoting all products) and partner world (“W”). BIMTS will be regularly updated and continually improved as new data becomes available. For more information on: The methodology: The OECD Balanced International Merchandise Trade Dataset (BIMTS). Balanced trade statistics related pages: Balanced trade statistics, or The statistics compiled by the OECD Statistics and Data Directorate Users are encouraged to send their questions, or to signal any apparent errors, regarding this database to STAT.Contact@oecd.org