Atom Grants
Discover
  • Dashboard
  • Search
  • Deep Research
  • Favorites
  • Projects

    Community Services Block Grant (CSBG)

    The Community Services Block Grant from the Department of Local Affairs funds data-driven, community-based programs to reduce poverty and improve well-being for low-income Coloradans.

    Funder: Department of Local Affairs

    Due Dates: October 1, 2026 (2027–2029 CSBG Application) | August 4, 2026 (Public hearing on formula updates)

    Funding Amounts: Annual allocations vary by county/entity; 2026 statewide total ~$6.1M; individual awards range from ~$27K to ~$859K/year; 3-year contract cycle.

    Summary: Supports Colorado local agencies in addressing poverty via formulaic grants for community-based anti-poverty programs and services.

    Key Information: Only 28 designated local entities are eligible; major updates to funding formula take effect for 2027–2029 cycle.


    Description

    The Community Services Block Grant (CSBG) is a federally funded program administered by the Colorado Department of Local Affairs (DOLA) to reduce poverty and improve the well-being of low-income individuals and families. CSBG provides formula-based grants to 28 designated local entities (county governments, councils of governments, and nonprofit community action agencies) across Colorado. Funding supports a wide range of anti-poverty activities, including employment, education, income management, housing, emergency services, nutrition, program linkages, self-sufficiency, and health services.

    The CSBG program emphasizes local control, requiring each eligible entity to conduct a community needs assessment and develop a three-year community action plan tailored to local priorities. The program operates on a three-year contract cycle, with the next cycle covering 2027–2029. The program also requires public input via hearings and comment periods, especially when formula changes impact allocations.


    Atom

    See the full grant listing

    Sign in to view full eligibility details, sources, similar grants, and AI-powered analysis.