See the consensus — and what sits behind it.
See how professional forecasts evolve over time, then explore the individual estimates and history behind every consensus.
First-quarter GDP revised to −0.2% annualised.
Fed cut rates; the 2026 GDP median rose to 2.3%.
Fed held rates; the 2026 GDP median stood at 2.4%.
Make the data work for you.
Benchmark assumptions, test decisions and track how expectations change with consensus forecasts.
Benchmark your house view
Compare internal assumptions with a broad panel of professional forecasts.
Backtest investment strategies
Test decisions against the expectations available at the time.
Monitor changing expectations
Track monthly revisions and the direction of forecast changes.
Build planning assumptions
Use an independent consensus baseline for budgets, scenarios and planning.
Choose how you work with consensus forecasts.
One underlying dataset, four delivery routes. Read complete publications, work in structured Excel, integrate through the API or research preserved survey history.
Publications
Forecasts, individual responses and the survey context in which they were collected.
Structured Excel
Structured workbooks designed to feed repeatable models and processes with each release.
API
Machine-readable forecasts for internal applications, models, dashboards and automated workflows.
Historical Databank
Original survey vintages for backtesting, forecast revision analysis and research without hindsight bias.
Explore Our Forecasts
Start with the market you need to understand. Compare consensus forecasts across economies, currencies and commodities.
Economic outlooks
G7, Europe, Asia Pacific, Latin America & moreBenchmark growth, inflation, interest rate and other macro expectations across major developed and emerging economies.
Currency outlooks
Major and emerging market currenciesCompare independent exchange rate expectations, track revisions and see how professional views differ across forecast horizons.
Commodity outlooks
Energy, metals, minerals and agricultureUse specialist consensus price forecasts to frame market assumptions and compare the range of analyst expectations.
Frequently asked questions
A concise guide to the questions most often asked before working with Consensus Forecasts.
01Why use a consensus rather than a single forecast?
A consensus combines many professional forecasts into an independent benchmark, reducing reliance on any one institution's assumptions or model. The underlying individual forecasts and ranges also show where professional opinion agrees — and where it differs.
How Consensus Forecasts work02Can the historical data be used for backtesting?
Yes. Historical survey vintages preserve the forecasts that were actually available at each point in time, making them useful for backtesting, revision analysis and studying forecast errors without hindsight bias.
Explore historical data03How often are the forecasts updated?
Most core Consensus Forecasts follow a monthly survey cycle, with publication dates set in advance. Continuous Consensus data are also available through the API for users who need updates between the main survey dates.
View the publications schedule