Dominica vs French Polynesia: Balanced trade in services

Dominica
0.2493 US dollars, exchange rate converted
in 2024
French Polynesia
0.3266 US dollars, exchange rate converted
in 2024
Dominica rank
160th
French Polynesia rank
159th

Balanced trade in services over time

  • Dominica
  • French Polynesia
00.10.20.3200520142024

How they compare

French Polynesia currently reports 0.3266 US dollars, exchange rate converted against 0.2493 US dollars, exchange rate converted in Dominica, a difference of 0.0773 US dollars, exchange rate converted.

That makes French Polynesia's figure about 1.3 times Dominica's.

Across all 20 years both countries report, French Polynesia has been ahead every year.

Dominica ranks 160th and French Polynesia ranks 159th of 174 countries.

French Polynesia has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Dominica French Polynesia Difference Ahead
2000s 0.1414 US dollars, exchange rate converted 0.2813 US dollars, exchange rate converted 0.1399 US dollars, exchange rate converted French Polynesia
2010s 0.1829 US dollars, exchange rate converted 0.2502 US dollars, exchange rate converted 0.0674 US dollars, exchange rate converted French Polynesia
2020s 0.1899 US dollars, exchange rate converted 0.2507 US dollars, exchange rate converted 0.0608 US dollars, exchange rate converted French Polynesia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher balanced trade in services, Dominica or French Polynesia?
French Polynesia, at 0.3266 US dollars, exchange rate converted against 0.2493 US dollars, exchange rate converted in Dominica as of 2024.
What is the difference in balanced trade in services between Dominica and French Polynesia?
0.0773 US dollars, exchange rate converted, with French Polynesia ahead.
How many years of comparable data are there for Dominica and French Polynesia?
20 years are reported by both, from 2005 to 2024.
How do Dominica and French Polynesia rank globally for balanced trade in services?
Dominica ranks 160th and French Polynesia ranks 159th of 174 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Balanced trade in services (BaTIS). Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Dominica vs French Polynesia: Balanced trade in services. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 21 August 2026, from https://economy.statizoid.com/compare/balanced-trade-in-services-batis/dominica/french-polynesia/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under OECD Terms and Conditions (attribution required); please keep the attribution.

<a href="https://economy.statizoid.com/compare/balanced-trade-in-services-batis/dominica/french-polynesia/">Dominica vs French Polynesia: Balanced trade in services</a> — Statizoid

About this data

Indicator
Balanced trade in services (BaTIS)
Unit
US dollars, exchange rate converted
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
200 places, 3,969 data points, 2005–2024
Last refreshed

The OECD-WTO Balanced Trade in Services (BaTIS) dataset is a complete, consistent, and balanced matrix of international trade in services statistics (ITSS). It contains annual bilateral data covering 202 reporters and partners, broken down by total services and 26 EBOPS 2010 (BPM6) categories from 2005 to 2024. BaTIS is the result of joint efforts by the OECD and WTO. Two main features enable BaTIS to stand out as the international benchmark for any analysis on international trade in services: BaTIS is complete and consistent. At present, only around 65% of world trade in services is bilaterally specified, and the percentage is even lower for the individual service categories. The OECD-WTO 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. BaTIS is balanced. To resolve the asymmetries between reported and mirror flows, exports and imports are reconciled by calculating a symmetry-index weighted average between the two, following a similar approach to that developed for international merchandise trade statistics. Batis provides three measures for each trade flow (under the ‘adjustment’ dimension): Reported. Reflects the value officially reported by the country (where available), some values are rescaled to fit world totals. Adjusted and/or imputed. Reflects, in addition to the reported values, any adjustments made to ensure internal consistency as well as the estimations made by the OECD-WTO to fill in the gaps in the reported information. Balanced. Reflects the reconciled bilateral trade flow, where exports equal mirror imports. Official information on bilateral trade flows was collected from OECD, Eurostat, national sources as well as UNSD. The WTO-UNCTAD trade in services dataset, based on a number of primary sources complemented with estimations, was the main source for data with partner world. The BaTIS dataset can be used as a stand-alone input for economic analysis and policy-making. In addition, balanced trade in services data form an essential input to the OECD Trade in Value Added (TiVA) initiative, for which a balanced view of international trade is crucial. BaTIS is intended to be regularly updated and constantly improved as new data become available. For more information on the methodology, please refer to the technical paper accompanying this dataset The OECD-WTO Balanced Trade in Services (BaTIS) For more information on balanced trade statistics, please go to the topic related OECD page Balanced trade statistics Users are encouraged to send their questions, or to signal any apparent errors, regarding this database to STAT.Contact@oecd.org https://www.oecd.org/en/about/directorates/statistics-and-data-directorate.html