TradeWeave is a free, open-access global trade analytics platform covering 238 countries, 5,115 products, and 29 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 1996 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 1996-2024 with HS6 product detail. TradeWeave also includes historical trade data spanning over 200 years (1800-present) from academic compilations.

Model methodsComplexity

Revealed comparative advantage (Balassa)

For each country-product-year, the country's share of world exports of a product divided by its share of world exports overall. A value of 1 is the world average.

Surface: /country-product

Data

Vintage

BACI 202601 (CEPII), HS96, 1996-2024 (retrieved 2026-06-01)

Tables

data/parquet/rca_matrix/year=*/

Sources

CEPII BACI

Method

Textbook Balassa on export values only; imports never enter. Both the country and world denominators are recomputed per year from the same filtered set of positive export flows, not from country_year_totals.

Values are rounded to 4 decimals and stored only where the rounded value is at least 0.01. The table is therefore sparse: a missing cell means RCA below 0.01, not zero.

RCA is dimensionless. BACI values are thousands of USD, and the units cancel. Never currency-format an RCA.

The extended HS02/07/12/17/22 rows follow a different convention in the same table: they are unrounded, kept only at RCA >= 1, use country and world totals that exclude extended product value, and exist for 2002-2024 only. That is 329,082 of the table's 11,741,447 rows.

Live counts, measured 2026-08-27: 11,741,447 rows, 1996-2024, 233 country codes, 6,632 product codes. 2024 holds 400,605 rows (376,519 core plus 24,086 extended).

Equations

Balassa RCARCA(c,p) = [ x(c,p) / sum_p x(c,p) ] / [ sum_c x(c,p) / sum_cp x(c,p) ]

Core storagestored only where round(RCA, 4) >= 0.01 (core rows)

Extended storagestored only where RCA >= 1 (extended rows, 2002 onward)

Validation

scripts/integrity/test_parquet_integrity.py::test_rca_positive asserts no null or non-positive RCA row exists.
The V202601 rebuild reproduces the previous estate's 2024 RCA to a maximum absolute difference of 5.0e-05, which is 4-decimal rounding alone (docs/CODEBASE_LEDGER.md).
src/app/research/rca-persistence/page.tsx re-derives RCA transition rates from the same table and cites Cadot, Carrere and Strauss-Kahn (2011), Proudman and Redding (2000), and Hausmann and Klinger (2006).

Limitations

The 0.01 storage floor silently defines the sample for anything that counts cells, including persistence studies over 1996 and 2024.
Two conventions live in one table (see above). Anything that aggregates across the whole table mixes them.
/api/countries/[iso3]/rca-transition resolves the country with a single code, so BEL is truncated to 1999 onward and SDN to 2012 onward. /api/countries/[iso3]/rca-dynamics uses the multi-code resolver and is not affected.
export_value is returned in thousands of USD by /api/countries/[iso3]/rca-dynamics and /api/products/[hs]/rca-countries, but multiplied to plain USD by /api/countries/[iso3]/rca-transition. Read the units per endpoint.
/ladder deliberately recomputes Balassa RCA at HS4 rather than reading this HS6 table, because its capability states are HS4. Using HS6 RCA there overstated baskets by 51% to 93% (docs/CODEBASE_LEDGER.md).
Every RCA endpoint defaults year to the literal 2024 rather than to BACI_YEAR_MAX.

References

Balassa (1965), Trade Liberalisation and Revealed Comparative Advantage, The Manchester School 33(2): 99-123.

Endpoints

Path	Method	Returns	Example
/api/countries/[iso3]/rca-dynamics	GET	Products whose RCA rose or fell most over the window, top 15 each way.	/api/countries/BGD/rca-dynamics?year=2024&window=5
/api/countries/[iso3]/rca-transition	GET	Classic, emerging and disappearing advantage counts plus a 200-point scatter.	/api/countries/BGD/rca-transition?year=2024&window=5
/api/products/[hs]/rca-countries	GET	The countries with RCA >= 1 in one HS6 line, ordered by RCA, with their ECI.	/api/products/610910/rca-countries?year=2024&limit=30

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Method

Values are rounded to 4 decimals and stored only where the rounded value is at least 0.01. The table is therefore sparse: a missing cell means RCA below 0.01, not zero.

RCA is dimensionless. BACI values are thousands of USD, and the units cancel. Never currency-format an RCA.

Live counts, measured 2026-08-27: 11,741,447 rows, 1996-2024, 233 country codes, 6,632 product codes. 2024 holds 400,605 rows (376,519 core plus 24,086 extended).

Validation

scripts/integrity/test_parquet_integrity.py::test_rca_positive asserts no null or non-positive RCA row exists.

The V202601 rebuild reproduces the previous estate's 2024 RCA to a maximum absolute difference of 5.0e-05, which is 4-decimal rounding alone (docs/CODEBASE_LEDGER.md).

src/app/research/rca-persistence/page.tsx re-derives RCA transition rates from the same table and cites Cadot, Carrere and Strauss-Kahn (2011), Proudman and Redding (2000), and Hausmann and Klinger (2006).

Limitations

The 0.01 storage floor silently defines the sample for anything that counts cells, including persistence studies over 1996 and 2024.

Two conventions live in one table (see above). Anything that aggregates across the whole table mixes them.

/api/countries/[iso3]/rca-transition resolves the country with a single code, so BEL is truncated to 1999 onward and SDN to 2012 onward. /api/countries/[iso3]/rca-dynamics uses the multi-code resolver and is not affected.

export_value is returned in thousands of USD by /api/countries/[iso3]/rca-dynamics and /api/products/[hs]/rca-countries, but multiplied to plain USD by /api/countries/[iso3]/rca-transition. Read the units per endpoint.

/ladder deliberately recomputes Balassa RCA at HS4 rather than reading this HS6 table, because its capability states are HS4. Using HS6 RCA there overstated baskets by 51% to 93% (docs/CODEBASE_LEDGER.md).

Every RCA endpoint defaults year to the literal 2024 rather than to BACI_YEAR_MAX.

Endpoints

Path	Method	Returns	Example
/api/countries/[iso3]/rca-dynamics	GET	Products whose RCA rose or fell most over the window, top 15 each way.	/api/countries/BGD/rca-dynamics?year=2024&window=5
/api/countries/[iso3]/rca-transition	GET	Classic, emerging and disappearing advantage counts plus a 200-point scatter.	/api/countries/BGD/rca-transition?year=2024&window=5
/api/products/[hs]/rca-countries	GET	The countries with RCA >= 1 in one HS6 line, ordered by RCA, with their ECI.	/api/products/610910/rca-countries?year=2024&limit=30