Panama City Beach, Florida short-term rental occupancy & seasonality

Name: Panama City Beach, Florida short-term rental seasonality data
Creator: AirDNA
License: https://www.airdna.co/terms

Updated July 5, 2026By The AirDNA Data Team

Panama City Beach, Florida short-term rentals run an average of 57% occupancy and $197 RevPAR across the year.

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Occupancy

57%

+1.5% YoY

RevPAR

$197

+2.4% YoY

Peak month

In the app

Highest-occupancy month

Trough month

In the app

Lowest-occupancy month

Booking lead time

In the app

Median days before booking

Length of stay

In the app

Median nights booked

AirDNA tracks daily performance across 10M+ Airbnb, Vrbo, and Booking.com listings in 120K+ global markets. How we collect this data →10M+ listings across Airbnb, Vrbo & Booking.com in 120K+ markets. How we collect →

Panama City Beach, Florida short-term rental seasonality

Panama City Beach short-term rentals run 57% average occupancy across the year, producing an annual RevPAR of $197 — occupancy multiplied by average daily rate.

From June 2025 to June 2026, Panama City Beach's occupancy is up 1.5% and RevPAR is up 2.4%.

On AirDNA's seasonality scale, Panama City Beach scores 43 out of 100, where a higher score means steadier demand year-round and a lower score means sharper peak-and-trough swings.

Seasonality score

Rental demand79
Seasonality43
Revenue growth74
Investability88
Regulation61

Full Panama City Beach market overview How Market Score is calculated

Analyst's take

Panama City Beach's Seasonality score: 43 out of 100.

Panama City Beach's Seasonality subscore is 43 out of 100, one of five inputs to its overall Market Score of 68. A higher score means steadier demand across the year.

Seasonality is the percentage gap between Panama City Beach's lowest and highest monthly average revenue over the past year — the smaller the swing, the higher the score.

It is benchmarked against other short-term rental markets in the same country with at least 15 active listings.

The Market Score is a starting point, not an investment decision.

Market-level averages hide wide variation. Here's how to go deeper in the app:

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Key definitions

How AirDNA defines these metrics

Occupancy: Occupancy is the share of available nights that get booked, averaged across active listings over the trailing 12 months. It measures real demand, not how many nights a host chooses to list.How AirDNA calculates occupancy →
RevPAR: RevPAR (revenue per available rental) is occupancy multiplied by ADR. It captures both how often a listing books and what it charges, making it the truest measure of earning power per available night.What is RevPAR? →