City Scenarios Service
Regularly updated scenarios for cities and regions across Europe and North America.
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Overview
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.
Multiple scenarios
Three alternative scenarios for each location – a moderate upside, a moderate downside, and a severe downside.
Regular updates
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.
Extensive coverage
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.
Service features
- 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.
Proven methodology
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.”
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