Independent forecast data for investment research and decision‑making.
Benchmark macroeconomic expectations, monitor forecast revisions and work with consistent historical survey data across economies, currencies and commodities.
Use the consensus as a transparent external benchmark.
Professional investors can compare internal assumptions with the market consensus and study how expectations evolve through time.
Benchmark assumptions
Compare house views, valuation inputs and macro scenarios with a broad panel of professional forecasts.
Track revisions
Observe changes in consensus expectations across successive survey databases and identify turning points.
Measure dispersion
Use mean, high, low, standard deviation and individual forecasts to understand the range of professional views.
Build historical research
Work with consistent forecast databases for backtesting, modelling, strategy research and portfolio analysis.
Monthly macroeconomic history across the major regions.
Our regional services provide historical and current survey data, including the consensus mean and the individual forecasts behind it.
See the published detail behind the regional averages.
Survey pages combine headline consensus measures with the individual forecasts and supporting charts. Explore the publication to see how that research is presented.
Explore the G7 & Western Europe report →
*Earlier Eastern Europe and Latin America observations were collected bimonthly before moving to monthly publication.
Extend the macro view into currencies and commodities.
Designed for research, modelling and repeatable analysis.
Regional spreadsheet services provide consistent monthly survey files and historical forecast databases, making it easier to integrate expectations data into institutional research workflows.
Structured for automation, quantitative research and AI-enabled workflows.
- Consensus mean, high, low and standard deviation
- Individual forecasts for covered variables
- Consistent spreadsheet structure through time
- TrendCharts for visualising changes in expectations
Add higher-frequency and longer-horizon perspectives.
These datasets complement the core monthly regional services for more specialised research requirements.
Continuous Consensus Forecasts
Capture forecast changes between regular monthly survey dates for a more current view of evolving expectations.
Explore continuous forecasts → Inflation pathMonthly Inflation Forecasts
Month-by-month inflation expectations over the coming 15 months across major economies.
Explore monthly inflation → 3–10 yearsLong-Term Forecast Data
Longer-horizon expectations for growth, inflation, interest rates and other key macro variables.
Explore long-term forecasts → Quarter-by-quarterQuarterly Forecast Data
Short-term quarterly macroeconomic forecasts for the next eight quarters, surveyed at regular intervals.
Explore quarterly forecasts →Choose the level of access that fits your research process.
Use current forecast reports for context, historical Excel datasets for analysis, or speak to our team about broader licensed and structured data access for institutional workflows.
Consensus forecasts are widely used in investment and economic research.
Researchers have examined how consensus expectations can support asset management, allocation and forecasting applications. Our historical archive also enables users to study revisions and forecast performance through multiple market cycles.
Practical questions for institutional users
Why use a consensus rather than a single forecast?
A single forecast reflects one institution's assumptions and model. A consensus brings together a broad panel of professional views to provide an independent market benchmark and show the distribution around the central expectation.
Can I see the individual forecasts behind the consensus?
Yes. The individual panel forecasts are a fundamental part of our data, allowing users to identify outliers, measure disagreement and understand how expectations change from one survey database to the next.
Can the historical data be used for backtesting?
Yes. Carefully preserved historical survey databases allow users to work with forecasts that were actually available at each point in time, supporting point-in-time backtesting, revision analysis and forecast-error research.
Can the data be integrated into quantitative and AI-enabled research?
Yes. Structured Excel and API delivery are designed for automation, quantitative research, internal models and AI-enabled workflows.
See the data before you subscribe.
Review the forecast detail first, then order the service that best fits your institutional research workflow.