Independent Panel
- Over 180 influential international and local economists polled.
- Government and central bank forecasts are also shown, alongside projections from international institutions such as the IMF and OECD.
Monthly Economic Forecast Publication
Independent monthly macroeconomic forecasts from professional economists across the Asia Pacific region.
Used by central banks, investment banks, corporates and academic institutions worldwide.
Browse the economies covered in this regional survey and open an individual forecast page for more detail.
Each monthly issue combines independent panel forecasts, detailed country-by-country estimates and the context needed to interpret changing expectations.
The three previews below show selected pages 1, 2 and 4 of a sample issue: the overview, forecast analysis and individual forecasts.
Start with the survey context, key themes and a clear guide to what the issue contains.
See how the publication combines structured forecast data with charts and analysis to make changes in expectations easy to inspect.
Inspect the individual institutional forecasts that make up the consensus, alongside the mean, range and dispersion of professional views.
Review a complete sample issue to assess the forecast tables, commentary and contributor detail.
The service follows a regular publication schedule. Current survey and release timing is shown on our Publication Schedule page.
Yes. Individual professional forecasts are retained alongside the consensus so users can examine the distribution of expectations, disagreement and outliers. Learn more about how consensus forecasts work.
Browse the Economic Forecast Publications directory to compare regional, foreign exchange and commodity forecast services.
Yes. View sample forecasts to review the publication structure, forecast tables and contributor detail before subscribing.
Yes. Structured Excel and Historical Databank services provide preserved survey history for backtesting, revision analysis and quantitative research. Explore Excel Economic Data.