Michigan Data Removal Guide (2026)
Michigan does not have a comprehensive state privacy law. Michigan residents exercise deletion via broker CCPA-compliance workflows plus Michigan's Consumer Protection Act and Preservation of Personal Privacy Act (PPPA).
At a glance
- Comprehensive state privacy law
- No (cross-state leverage applies)
- Enforcement
- Michigan Department of Attorney General
- Residents
- 10M (approx.)
Michigan Privacy Landscape
The Michigan Consumer Protection Act (MCL 445.901 et seq.) covers unfair and deceptive practices. Michigan's PPPA (MCL 445.1711 et seq.) provides a narrow privacy right for video, book, and music records — useful against specific broker categories. No comprehensive deletion right under state law. Deletion leverage runs through brokers' CCPA workflows.
Your rights
- →Consumer Protection Act remedies
- →PPPA for narrow categories (video/book/music records)
- →Cross-state CCPA leverage
Where your data leaks from in Michigan
Data brokers don\u2019t guess your address \u2014 they scrape specific public-record sources. The ones most relevant in Michigan:
- Wayne, Oakland, Macomb County property records
- Michigan Courts One Court of Justice search
- Michigan SOS driver records
Ready to remove
Opt out of 200+ brokers for $2
OfflistMe drafts a legally compliant deletion email citing CCPA-equivalent protections for every broker. You send from your own inbox. No account, no ID upload.
Start for $2 \u2192If a broker ignores your request
File a complaint with the Michigan Department of Attorney General’s consumer protection division. Deceptive-practice statutes often provide remedies even without a state-specific privacy law.
File a complaint with Michigan Department of Attorney General \u2197FAQ: Michigan data removal
What is Michigan's PPPA and does it help with broker removal?+
PPPA grants a private right of action for disclosure of video, book, or music purchase records. It has been used successfully against retailers selling rental/purchase history. For general data broker removal it is narrow but useful when your data comes from specific retail categories.