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The revised draft of Minneapolis 2040 was released in Fall 2018 for consideration by the Planning Commission and City Council.  Read more about how to comment on the revised draft plan.

NOTE CONTENT CHANGES: In response to public input, the proposed content of this policy has changed since its original draft publication on March 22, 2018. To hide or view the mark-ups click the link below.

Data-Driven Decisions: Use data and research to guide and evaluation housing priorities, policies, and programs.

These policies and action steps were moved and incorporated into Policy 36 - Innovative Housing Strategies & Data-Driven Decisions

Access to data and the tools, staff and resources to analyze that data to inform priorities, policies and programs is paramount to achieving success in Minneapolis’ housing work. The City has access to companies and organizations, such as the University of Minnesota and others, that are conducting research in housing policy and programs, as well as harnessing new and existing data sets in innovative ways to better inform, evaluate and understand existing conditions.


The City will seek to accomplish the following action steps to Use data and research to guide and evaluation housing priorities, policies, and programs.

  1. Conduct and refresh housing market and needs analyses on a regular basis. Use this information to establish programs and set priorities and targets.
  2. Analyze and review data to understand how neighborhoods change. Data to include Center for Urban and Regional Affairs (CURA) healthy neighborhood indicators and other available data sets (e.g., rates of tax delinquency and foreclosure, building permit activity, vacant property lists, sales prices and ownership tenure).
  3. Maintain a local affordable housing database as a tool for studying trends over time in the development of affordable and mixed-income housing projects.
  4. Incorporate community engagement in housing research and data analysis.
  5. Review capital improvement planning models to ensure the process is guided by data on concentrated poverty.
  6. Develop competitive selection criteria to prioritize the greatest needs in the allocation of affordable housing resources.
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