Finance

Tax-Supported Debt Service Ratio

Goal: Maintain tax-supported debt service ratio below 15%, consistent with direction set by City Council (City Council-approved Debt Management Fiscal Policy C203C).Explore the data
%
Final
15%
Dec 2017 Target
Goal Period ended December 2017

        Measure Description

        Tax-supported Debt Service Ratio measures the ratio of tax-supported debt servicing to tax-supported revenues. This ratio also reflects the amount of operating revenue that is committed toward paying both principal and interest on the City’s current debt load. To be updated yearly as data becomes available.

        Historical Data

        This dataset is private.

        Explanation of Performance

        The approval of the new Debt Management Fiscal Policy in 2008 resulted in approval of several new tax supported debt projects including Rogers Place arena, LRT expansion, Walterdale bridge replacement, Westwood Transit Garage and community recreation facilities construction. These projects have led to an increase in tax supported debt servicing since 2009. Overall, tax-supported debt servicing was higher in 2015 due to payment of short-term debt of $60M. If we normalize 2015 for the short-term payment, we have a net increase in debt servicing of 0.2% from 2015, which is a result of several tax supported debt projects progressing in 2016 including Rogers Place arena, LRT expansion, Walterdale bridge replacement and Westwood Transit Garage. The increased borrowing has a direct impact on the debt service limit. However, a practice of using debt as part of the long term planning for the City would result in maintaining a reasonable escalation in debt service as the revenues grow to support the increases in debt service. Planned use of debt will also maintain financial flexibility and stability.

        Did You Know?

        Direction around use of debt and internal debt limits that support this measure are contained in the City’s Debt Management Fiscal Policy C203C.

        Useful Links

        City of Edmonton Debt Management Fiscal Policy: http://www.edmonton.ca/city_government/documents/C203C.pdf

      Data Governance

      describes the quality of the data itself. Governance issues generally indicate that the data source is considered incomplete or unreliable.

      Model Health

      describes the quality of the predictive model. If the model health is poor, the trend prediction should not be trusted.

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