Oxford Economics’ City Scenario Service quantifies how upside and downside risks to the economy might affect individual cities and regions in Europe and North America.
Assess the impact of risk scenarios on cities and regions
Our service provides for each location a baseline forecast and three alternative scenarios for a broad range of economic and demographic indicators.
Three alternative scenarios for each location – a moderate upside, a moderate downside, and a severe downside.
Scenarios are updated quarterly to reflect current risks to the outlook.
Comprehensive city and regional coverage
Results for each scenario are available for NUTS regions in Europe, and states, provinces and metros in the US and Canada.
The impact of each scenario can be measured against GDP, employment, population, household income, consumption and retail sales.
Full service consistency
Our City Scenarios Service uses a consistent global methodology, ensuring comparability between cities and regions in different countries.
- Web-based application and add-ins. Our Global Data Workstation is a web-based application that provides a variety of data selection and personalisation features. Our Excel Data Workstation is a simple but powerful add-in for accessing our data directly within Excel.
- Delivery options. Output options include tables, charts, maps and external infographic tools such as Power BI. Data is also available via data feed and API tools.
Benefits of our service
- Better decisions, faster. Our service equips you to manage risks and opportunities more effectively.
- Confidence. Our forecasts are derived from a consistent set of global economic, industry and city models and supports your planning for possible future economic downsides.
- Excellent customer service. We offer our clients comprehensive customer support with full access to our experienced economists and IT support team.
The scenarios are developed through a combination of assessing forecast errors for each country over the past 20 years, which are a direct measure of the uncertainty around the baseline forecast, and our country expertise to reflect particular risks at any given time. This methodology is similar to that used by major central banks when assessing the risks around their central projections.
“Oxford Economics’ data and forecasts form the backbone of our demand models. The global consistency and granular detail available in their expansive dataset allows us to focus on the variables most relevant to our business.”
Resources and events
US and Canada housing affordability edged down in Q3
Active vs. Passive Fund Performance in European listed real estate
Global urbanisation continues, led by rapid growth in African cities
London: Economic Prospects and the Housing Market
Key Themes for Cities in 2022
Global Cities: The urban economic landscape in 2040
Asia Pacific cities and regions: consumer spending and office-based employment in 2021 and out to 2035
Recession, recovery and a return to normal? The outlook for key cities in Asia Pacific, Europe and North America
Key themes for cities in 2022
Request a Free Trial
Complete the form below and we will contact you to set up your free trial. Please note that trials are only available for qualified users.
We are committed to protecting your right to privacy and ensuring the privacy and security of your personal information. We will not share your personal information with other individuals or organisations without your permission.
Read our latest real estate researchRead more
Quantifying the impact of policy changes and other risk events on industrial sectors.Find Out More
Global Cities Service
Make decisions about market and investment strategies with historical data and forecasts for 900 of the world’s most important cities.Find Out More
Modelling and Scenarios
Bespoke research to help you make informed decisions.Find Out More
Real Estate Forecasts and Scenarios
Track, analyse, and react to macro events and future trends for the European region.Find Out More
Sign up to our Resource Hub to download the latest and most popular reports.