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.

Virtual Water in Trade

The water embodied in agricultural exports. Joins CWASI unit water footprints (m³ per ton) to BACI export tonnage, weighted by FAO/AQUASTAT water stress of the exporter.

Scope note: Virtual water here is the total unit water footprint of production (green plus blue) times traded tonnage. The open CWASI API serves only the total footprint, so this page does notbreak out blue (irrigation) water separately; that split sits in the restricted CWASI bulk file and is not estimated here. Coverage is a curated set of primary crops mapped FAO-item to HS6 (cereals, oilseeds, coffee, cocoa, tea, pulses, key fruits and vegetables, cotton lint, natural rubber); processed and derived goods are excluded, so totals understate full agricultural virtual-water trade. CWASI footprints end in 2016; later trade years reuse the 2016 coefficient. Export figures use each producing country’s own footprint and are the primary metric; imports use the importer’s own footprint as a proxy (BACI carries no trade-partner dimension), so net balance is indicative.

Trade Year

Ranking Metric

Country Profile

Source: CWASI database (Tamea, Tuninetti, Soligno & Laio 2021), unit water footprint of production, m³/ton, served via the authors’ open watertofood.org API (CC BY 4.0); bulk Zenodo 10.5281/zenodo.4606794 | FAO/AQUASTAT SDG 6.4.2 Level of water stress, FAOSTAT SDG Indicators bulk, 2000-2023 (CC BY 4.0) | BACI 202501 (CEPII), HS92 export/import quantities in metric tons, 1995-2024 (retrieved 2026-04-28)

Methodology: Virtual water exported (m³) = sum over mapped primary crops of [ CWASI unit water footprint of production uWFp (m³/ton) for the exporter x BACI export quantity (metric tons) ]. Scarcity-weighted export = virtual water exported x exporter AQUASTAT water-stress fraction (SDG 6.4.2 / 100). Imports use the importer’s own footprint as a proxy because BACI is exporter-reported with no partner dimension; exports (using the producer’s real footprint) are the primary metric and net balance is indicative. The open CWASI API provides only the TOTAL unit water footprint, so green and blue water are not split here (the blue-water-only figure requires the restricted CWASI bulk file). CWASI ends 2016; trade years after 2016 reuse the 2016 footprint. The FAO-item-to-HS6 concordance is a curated primary-crop subset (cereals, oilseeds, coffee, cocoa, tea, pulses, key fruits and vegetables, cotton lint, natural rubber); processed and derived products are excluded, so totals are a lower bound on agricultural virtual-water trade.

Guided journeyGauge food and commodity vulnerabilitystep 5 of 5All journeys

Related analyses

Agri Trade

Agricultural flows source the water

Deforestation

Sibling embodied-resource footprint

Food Security

Water-dependent food import risk

Climate Supply Risk

Climate stress on water resources

Value Chains

Processing adds water content