Using Data to Identify Needs of Foster-Care Youth
summary
Survey of 27,000 respondents ages 14–27 identifies high food, financial and housing insecurity, especially after aging out; analysis uses Python to parse open text and latent class analysis in Stata to find five subgroups. One high‑risk class shows aged‑out youth with >3 placements, psychiatric medication use, parenthood and LGBTQA+ status and the largest burdens. Reports inform 37 states’ allocations and link to a micro cash grant program that channels emergency funds (chat notes cite ~$50M distributed).
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chapters (21)
- 0:00Introduction
- 1:05About Think of Us
- 7:00Demographics
- 10:43Openended Questions
- 12:10Finding Parents
- 13:42Parents
- 15:15Requests
- 16:49High Financial Insecurity
- 18:32High Housing Security
- 19:18Money Crisis
- 19:38Food Crisis
- 20:22Housing Crisis
- 25:23Variables
- 26:18Table Breakdown
- 29:01Class 3 Adults
- 29:43Class 5 Adults
- 30:59Conclusion
- 32:29Analysis
- 33:11Thank you
- 33:27QA
- 41:45Wrap Up
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