IRS / Federal-Lien Properties
Properties tied to owners under federal tax liens — serious financial pressure that often precedes a forced or discounted sale.
| County | State | Tracked | 🔒 Owner | 🔒 Property Address | 🔒 Parcel |
|---|---|---|---|---|---|
| Osceola | FL | 1,353 | |||
| Citrus | FL | 1,186 | |||
| Miami-Dade | FL | 865 | |||
| Hillsborough | FL | 605 | |||
| Lake | FL | 414 | |||
| Pinellas | FL | 325 | |||
| Gadsden | FL | 320 | |||
| Duval | FL | 316 | |||
| Okaloosa | FL | 294 | |||
| Brevard | FL | 273 | |||
| Polk | FL | 266 | |||
| Collier | FL | 259 |
How IRS-lien properties work as a signal
A federal tax lien is among the most serious encumbrances a property can carry — the IRS files it when back taxes go unpaid, and it signals pressure severe enough to often precede a forced or discounted sale. These liens are public record yet rarely mined, leaving a lightly-contested pool of highly-motivated owners for investors who know to look.
City, ZIP and distress scores are shown free so you can judge a market. Exact street address, owner name, parcel/APN and per-property scoring are the product — they unlock with a plan.
Learn the signal
Frequently asked questions
- How does DLRadar find IRS-lien properties?
- Properties tied to owners under federal tax liens — serious financial pressure that often precedes a forced or discounted sale. DLRadar reads the public record, scores it the same way in every county, and weighs it beside 18 other distress signals — 8,046 currently carry this flag.
- Is the property-level data included?
- Market-level numbers are free. Property-level identity — who owns it, the parcel number, the street address and its own score — requires a plan.
- How fresh are the IRS-lien properties?
- Records are ingested on a rolling basis, which means this list reflects filings as they land rather than a periodic snapshot.
IRS-lien properties by Florida county
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Behind this page sits the full acquisition stack: deterministic distress scoring, the ownership and lender graph, matched capital sources, and a closing network - one workflow.
Read any module you like for 60 minutes. The record-level detail and exports are the paid product. One per customer, no card, no automatic billing.
What else sits behind this data
The stack runs top-down — cycle, credit, coverage, ZIP, parcel — so a signal you find here can be verified against four others.
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