Balanced international merchandise trade statistics (BIMTS) in Syrian Arab Republic

Syrian Arab Republic: Balanced international merchandise trade statistics (BIMTS) was 1.1 US dollars, exchange rate converted in 2010. ◆ Volatile

Latest (2010)
1.1 US dollars, exchange rate converted
Change on year
up 7.2%
Rank
7th
of 12 groups
All-time high
1.1 US dollars, exchange rate converted
in 2010
All-time low
0.0008 US dollars, exchange rate converted
in 2003
Years of data
5
2003–2010

Balanced international merchandise trade statistics (BIMTS) in Syrian Arab Republic, 2003–2010

00.250.50.7512003200620102003: 0.001 US dollars, exchange rate converted2004: 0.001 US dollars, exchange rate converted2008: 0.005 US dollars, exchange rate converted2009: 1 US dollars, exchange rate converted2010: 1.1 US dollars, exchange rate converted

Source: Organisation for Economic Co-operation and Development. Measured in US dollars, exchange rate converted.

Analysis

The most recent figure for balanced international merchandise trade statistics (bimts) in Syrian Arab Republic is 1.1 US dollars, exchange rate converted, measured in 2010. That is the highest value across all 5 years on record.

Compared with earlier readings it is up 7.2% on the previous year and up 131,843.0% over ten years.

Balanced international merchandise trade statistics (BIMTS) in Syrian Arab Republic, year by year

Annual values for Balanced international merchandise trade statistics (BIMTS) - HS2017-2D in Syrian Arab Republic, 2003 to 2010.
Year US dollars, exchange rate converted Change
2003 0.0008 US dollars, exchange rate converted
2004 0.0013 US dollars, exchange rate converted +54.8%
2008 0.0052 US dollars, exchange rate converted +303.6%
2009 1.03 US dollars, exchange rate converted +19606.1%
2010 1.1 US dollars, exchange rate converted +7.2%

Averages by decade

DecadeAverage LowestHighest Years
2000s 0.2583 US dollars, exchange rate converted 0.0008 US dollars, exchange rate converted 1.03 US dollars, exchange rate converted 4
2010s 1.1 US dollars, exchange rate converted 1.1 US dollars, exchange rate converted 1.1 US dollars, exchange rate converted 1

Countries ranked near Syrian Arab Republic

  1. 4 Colombia 47.21 US dollars, exchange rate converted compare
  2. 5 Brazil 41.24 US dollars, exchange rate converted compare
  3. 5 Türkiye 6.83 US dollars, exchange rate converted compare
  4. 6 Poland 1.25 US dollars, exchange rate converted compare
  5. 6 Spain 34.83 US dollars, exchange rate converted compare
  6. 7 Costa Rica 23.06 US dollars, exchange rate converted compare
  7. 8 Mexico 21.64 US dollars, exchange rate converted compare
  8. 8 Lithuania 0.3132 US dollars, exchange rate converted compare
  9. 9 Italy 18.52 US dollars, exchange rate converted compare
  10. 9 Latvia 0.2394 US dollars, exchange rate converted compare
  11. 10 Sudan 15.98 US dollars, exchange rate converted
  12. 10 Estonia 0.2224 US dollars, exchange rate converted compare

See the full ranking of 112 places →

More economy & growth data for Syrian Arab Republic

All data for Syrian Arab Republic →

Frequently asked questions

What is balanced international merchandise trade statistics (bimts) in Syrian Arab Republic?
Balanced international merchandise trade statistics (bimts) in Syrian Arab Republic was 1.1 US dollars, exchange rate converted in 2010, according to Organisation for Economic Co-operation and Development.
What is the highest balanced international merchandise trade statistics (bimts) recorded in Syrian Arab Republic?
The highest recorded value was 1.1 US dollars, exchange rate converted in 2010.
What is the lowest balanced international merchandise trade statistics (bimts) recorded in Syrian Arab Republic?
The lowest recorded value was 0.0008 US dollars, exchange rate converted in 2003.
How does Syrian Arab Republic rank for balanced international merchandise trade statistics (bimts)?
Syrian Arab Republic ranks 7th out of 12 groups with data for 2010.
Is balanced international merchandise trade statistics (bimts) rising or falling in Syrian Arab Republic?
Over the last ten years it is up 131,843.0%. The long-run trend across the full record is volatile.
Where does this Syrian Arab Republic data come from?
The figures come from Organisation for Economic Co-operation and Development, published as part of Balanced international merchandise trade statistics (BIMTS) - HS2017-2D. Statizoid updates them automatically from the source API.

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Balanced international merchandise trade statistics (BIMTS) in Syrian Arab Republic. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 29 August 2026, from https://economy.statizoid.com/stat/balanced-international-merchandise-trade-statistics-bimts-hs2017-2d/syrian-arab-republic-2/

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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