See where 1,000+ professional economists think the global economy is heading.

From growth and inflation to currencies and commodities, explore independent consensus forecasts built on a consistent methodology — and see how expectations change over time.

YOUR WORKFLOW

Make the data work for you.

Benchmark assumptions, test decisions and track changing expectations with independent consensus forecasts.

See the consensus — and what sits behind it.

Explore consensus averages, individual forecasts and historical changes in expectations.

US consensus GDP growth forecast for 2026, showing how the monthly consensus changed through the survey period.
Source: Consensus Economics. Historical illustration of US GDP growth expectations, January 2025–March 2026.
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Data delivery

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.

01 Read

Publications

Complete survey publications

Forecasts, individual responses and the survey context in which they were collected.

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02 Analyse

Structured Excel

Automation ready Stable files for repeatable workflows

Structured workbooks designed to feed repeatable models and processes with each release.

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03 Integrate

API

Direct machine-readable delivery

Machine-readable forecasts for internal applications, models, dashboards and automated workflows.

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04 Backtest

Historical Databank

21m+ Individual forecasts preserved

Preserved survey vintages for backtesting, revision analysis and point-in-time research without hindsight bias.

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Methodology

Built from independent professional forecasts.

Independent professional forecasts, collected consistently and preserved through time.

See how Consensus Forecasts are built
Methodology, data and delivery

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 work
02Can 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 data
03How 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
More questions about Consensus Forecasts
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