Welcome to HUD's Office of the Chief Data Officer

 

The Office of the Chief Data Officer (OCDO) was established to comply with the Foundations for Evidence-Based Policymaking Act of 2018 ("Evidence Act"). This legislation aims to improve the use of data in federal policymaking, enhance data management practices, and increase public access to government data, with the OCDO playing a crucial role in implementing these objectives within the Department of Housing and Urban Development (HUD).

The OCDO is divided into three key divisions: the Open Data Division, the Data Governance Division, and the Paperwork Reduction Act Division. The Open Data Division focuses on ensuring the accessibility and usability of HUD's data assets by the public, facilitating transparency and innovation. This division is also responsible for managing HUD's geospatial assets, critical infrastructure, and the overall geospatial ecosystem. The Data Governance Division is responsible for establishing and maintaining data standards, policies, and best practices to ensure data quality and consistency across the Department. The Paperwork Reduction Act Division ensures compliance with the Paperwork Reduction Act, which aims to minimize the paperwork burden for individuals, businesses, and other entities while maximizing the utility of the information collected.

Featured Dataset: ACS 5-Year CHAS Estimate Data by County

This comprehensive dataset provides crucial insights into housing affordability and needs across U.S. counties, essential for informed policy-making and targeted housing assistance.

This map displays Comprehensive Housing Affordability Strategy (CHAS) data at the county level across the United States. It shows the extent of housing problems and needs, particularly for low-income households.

Key Insights

  • Identifies housing problems for households at 30%, 50%, and 80% of median income
  • Helps target HUD programs to those most in need
  • Enables county-level analysis of housing affordability challenges

This data is critical for local governments, policymakers, and researchers in understanding and addressing housing affordability issues across diverse communities.

Explore the full dataset

 

 

 

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