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Homelessness Is Dropping in California, but Funding Cuts Could Derail Progress
California counties saw a 4% drop in homelessness this year, but state and federal funding cuts threaten ongoing support for housing and services.
- Several counties in California are experiencing a reduction in homelessness, a development that state leaders, including Governor Gavin Newsom, are acknowledging as a sign of progress.
- This progress follows grant application processes started by Biden's administration in 2024, which Trump’s administration re-started in 2025 under new, stricter criteria requiring applicants to apply again.
- The new grant conditions exclude organizations supporting trans clients, harm reduction, or operating in sanctuary cities, leading to legal challenges and major funding losses for providers like Hope Solutions and Downtown Streets Team.
- Data from the Hub for Urban Initiatives shows that 29 communities in California reported a total of 131,209 homeless individuals this year, marking a 4% decline driven by significant reductions in Contra Costa, Santa Cruz, and Ventura counties.
- Despite these results, funding is shrinking to $500 million next year, states are issuing one-time grants, and providers warn cuts will force service reductions, potentially reversing the homeless population decline.
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13 Articles
13 Articles
CA counties report fewer homeless people as funding cuts loom
San Diego County saw a decrease of less than 10% in its homeless population as cuts to state funding are on the horizon. This content Homelessness is dropping in California counties. But funding cuts could derail that progress appeared first on inewsource.
Cal Matters+8 Reposted by 8 other sources
Homelessness is dropping in California counties. But funding cuts could derail that progress
Experts worry liberal California will be blacklisted from federal homelessness dollars, effectively counteracting recent progress.
·Sacramento, United States
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Total News Sources13
Leaning Left2Leaning Right0Center2Last UpdatedBias Distribution50% Left, 50% Center
Bias Distribution
- 50% of the sources lean Left, 50% of the sources are Center
50% Center
L 50%
C 50%
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