TradeWeave is a free, open-access global trade analytics platform covering 238 countries, 5,022 products, and 30 years of bilateral trade data from BACI/CEPII. It provides interactive visualizations, country profiles, tariff simulations, economic complexity rankings, and trade forecasting tools.

What data sources does TradeWeave use?

TradeWeave combines data from BACI/CEPII (bilateral trade flows), WITS/TRAINS (tariff rates), World Bank WDI (macroeconomic indicators), ESCAP-World Bank (bilateral trade costs), FRED and BLS (freight indices, exchange rates), and FAOSTAT (agricultural trade).

How can I analyze a country's trade profile?

Visit the Country Profiles page and select any of 238 countries to see their export composition, top trade partners, revealed comparative advantage (RCA), Economic Complexity Index (ECI), trade diversification, and 30-year trends.

What is the Economic Complexity Index (ECI)?

The Economic Complexity Index (ECI), developed by Hidalgo and Hausmann, measures the productive knowledge embedded in a country's export basket. Countries that export a diverse set of sophisticated products score higher. TradeWeave ranks all 238 countries by ECI from 1995 to 2024.

Can I simulate the impact of tariff changes?

Yes. TradeWeave's Tariff Simulator lets you model how tariff changes affect import volumes using real product-level demand elasticities and MFN tariff rates for over 1,200 HS4 products.

How far back does the trade data go?

The primary BACI dataset covers 1995-2024 with HS6 product detail. TradeWeave also includes historical trade data spanning over 200 years (1800-present) from academic compilations.

Currency Invoicing and Dollar Dependence

USD, EUR, and own-currency invoicing shares in global trade. 110 countries, 1990-2019. Source: Boz et al. (2022) via Mendeley Data (CC BY 4.0).

USD Invoicing: Export Share vs. Import Share

Each dot is a country. Bubble size = total trade volume (BACI, thousands USD). Four quadrants by USD share above/below 50%. Coverage is thin pre-2010 for developing economies.

Year:

Dollar-LockedExport-PricerPrice-TakerAutonomous

Click a dot to load that country's time series below.

Country Invoicing Currency Trend

USD, EUR, and own-currency export invoicing shares over time. Solid = export; dashed = import.

Dollar Dependence Score reflects trade invoicing only. FX reserve composition (IMF COFER) is not included in the Boz et al. dataset and is not imputed here.

No invoicing data available for USA.

Coverage and caveats

110 countries, 1990-2019 (Mendeley Data version 1). Coverage is thin before 2010 for developing economies; most series begin 2010-2016.
Shares are in percentage points (0-100). "Own-currency" = invoicing in the exporter's domestic currency (HomeExport / HomeImport in the original dataset).
Dollar Dependence Score covers trade invoicing only. Reserve currency composition is not in this dataset and has not been imputed.
Bubble sizes in the scatter use BACI trade volumes (thousands USD); multiply by 1,000 for display in USD. Bubbles are log-scaled for readability.
The spec noted "132 countries" and "1990-2023" based on the full Global Currencies Database. Mendeley Data version 1 (CC BY 4.0) covers 110 countries through 2019.

Source: Boz, Casas, Georgiadis, Gopinath, Le Mezo, Mehl, Nguyen (2022). "Patterns of invoicing currency in global trade: New evidence." Journal of International Economics, 136. Data: Mendeley Data, DOI 10.17632/6z6w78968m.1 (CC BY 4.0). | Trade volumes: BACI 202501 (CEPII), HS92, 1995-2019 (retrieved 2026-04-28).

Methodology: invoicing_currency.parquet ingested from Boz et al. all_countries_update.dta (Section2.zip). Shares in percent (0-100). Dollar Invoicing Gap = usd_export_share - usd_import_share. Currency Mismatch Index = |USD gap| + |EUR gap|. Dollar Dependence Score = (usd_export + usd_import) / 2 (trade only).

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