Increasing the Reach and Effectiveness of HUD Grant Funds in the City of St. Louis, Missouri

Increasing the Reach and Effectiveness of HUD Grant Funds in the City of St. Louis, Missouri


In St. Louis, The Cloudburst Group worked with the U.S. Department of Housing and Urban Development (HUD) Field Office staff to create data-driven tools and strategies that provided  improved funding and investment.

The City of St. Louis, according to the HUD Field Office, had historically distributed HUD grant funds evenly across the wards of the 28-member Board of Aldermen, without regard to any validated housing and community development needs of its residents. In addition to those challenges, the City’s Community Development Agency (CDA) suffered years of recurring monitoring findings. With the engagement of HUD Field Office staff, The Cloudburst Group facilitated meetings with key stakeholders, including the Mayor’s Office, the Board of Aldermen, Washington University, and St. Louis University, and several community development intermediaries engaged in redevelopment initiatives. Strategies for using data to drive planning and funding decisions were introduced. A citywide housing market study was completed  during  Phase 1  of  the  technical assistance (TA),  culminating  in  a  Market  Value  Analysis  (MVA) document  to  guide  future investment decisions to key neighborhoods.

During Phase 2 of the TA, The Cloudburst Group assisted the City in developing a Neighborhood Conditions Index (NCI) tool that will serve as a companion to the MVA to inform public and private investments targeting Quality of Life gaps or deficiencies in low-income neighborhoods. Using the MVA and NCI tools, The Cloudburst Group helped the City to further secure broad endorsement and active support from the public and private sectors, including developers and funders, for a data-informed planning process. Data-informed decisions can guide housing and community development  investments  in  St.  Louis  and  create  city-wide  consensus.

The following accomplishments were realized as a result of technical assistance:

  • Publication of the first city-wide data-driven Housing Production Request for Proposal (RFP), early 2014;
  • Publication of the first city-wide data-driven Public Services RFP, July of 2014;
  • Increased  engagement  with  financial  institutions,  public  agencies,  academic  institutions,  and  community development intermediaries in the development and publication of the City’s first MVA;
  • Publication of the MVA on the City’s Urban Planning Department website, for real-time use by developers and investors in decision making; and
  • Development of the City of St. Louis 2014–2019 Consolidated Plan using the newly-published MVA to inform Housing Needs and Strategies, and the Neighborhood Conditions Index to inform non-housing Community Development and Public Service Needs and Strategies.

Client: U.S. Department of Housing and Urban Development

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