Insights
Housing · Miami-Dade County

42.2% of Miami-Dade vacant homes are classified for seasonal or occasional use

Seasonal, recreational or occasional use accounts for 50,471 estimated vacant homes. A vacant unit is not automatically available for a year-round renter.

42.2%

50,471 of 119,572 vacant housing units are seasonal, recreational or occasional-use units

Figures last updated Oct 27, 2026
Published
Oct 27, 2026
Geography
Miami-Dade County
Estimated units, workers or people (see labels)bar chart
Seasonal or occasional50471
For rent27129
Other categories41972

Meeting & town-hall brief

Key points

  1. 0150,471 vacant units are seasonal, recreational or occasional-use housing.
  2. 0227,129 vacant units are classified for rent.
  3. 03Seasonal classification is not a count of short-term rental listings.

What to say

  • Distinguish vacancy reasons before proposing housing-supply solutions.
  • How many vacant homes are actually available for long-term occupancy?

Every figure above is drawn from the source listed at the bottom of this page. Check them against the source before quoting at a public meeting.

Analysis

What the data shows

Table B25004 classifies 119,572 vacant housing units by reason. Of these, 50,471 are for seasonal, recreational or occasional use, a 42.2% share. The same table estimates 27,129 vacant units for rent and 6,462 for sale only; other categories include rented or sold but unoccupied, migrant-worker housing and other vacancy. These categories are not interchangeable. A seasonal classification does not identify a short-term rental listing, the owner’s residence, or legal availability for long-term leasing. Countywide vacancy totals therefore should not be presented as the number of homes that can immediately house displaced residents.

Methods and limits

Source: U.S. Census Bureau, 2024 ACS five-year estimates (2020–2024), Miami-Dade County, Florida; table B25004. Retrieved and independently rechecked October 27, 2026. Percentages are calculated from unrounded counts and rounded to one decimal. These are survey estimates, not exact administrative counts; source tables provide 90% margins of error. No statistical-significance test is claimed. Countywide results are not neighborhood estimates and do not establish that development or rent increases caused displacement.

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