Peachtree City, Georgia short-term rental market data

Name: Peachtree City, Georgia short-term rental overview data
Creator: AirDNA
License: https://www.airdna.co/terms

Updated August 5, 2026By The AirDNA Data Team

Peachtree City, Georgia has 115 active short-term rental listings that earn an average of $22.6K per year, with 62% average occupancy and a $182 average daily rate.

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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 →

Peachtree City short-term rental market summary

The Peachtree City, Georgia Airbnb market at a glance.

Peachtree City's short-term rental market has 115 active listings as of July 2026. The average active listing earned $22.6K in revenue over the trailing twelve months. Listings were booked 62% of nights they were available at an average daily rate of $182. RevPAR (daily rate weighted by occupancy) was $113. From July 2025 to July 2026, revenue is up 51.7%, occupancy is up 26.3%, ADR is down 6.7%, RevPAR is up 18.7%, and active listings are down 14.2%.

AirDNA Market Score

Rental demand74
Seasonality97
Revenue growth94
Investability69
Regulation65

How Market Score is calculated

Analyst's take

Peachtree City's AirDNA Market Score: 96 out of 100.

Peachtree City, Georgia scores 96 out of 100 on AirDNA's Market Score, a 40-to-100 scale benchmarked against other short-term rental markets in the same country with at least 15 active listings.

The score combines 5 subscores, each computed from observed market data:

Rental demand (74): annual occupancy combined with year-over-year listing growth.
Seasonality (97): the percentage gap between the lowest and highest monthly average revenue over the past year (a smaller swing scores higher).
Revenue growth (94): the year-over-year change in RevPAR, counting only properties booked in both periods.
Investability (69): local home prices relative to what short-term rentals in the area earn.
Regulation (65): signals of short-term-rental rules inferred from host and property behavior.

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:

1Narrow to a neighborhoodNeighborhood metrics give a far more accurate picture of the exact area you're considering.
2Apply filtersFilter by bedrooms, price tier, amenities, and reviews to reach properties that actually match yours.
3Estimate one addressProject what one specific property can earn with a custom comp set built from its exact specs.

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Key definitions

How AirDNA defines these metrics

Active listings: Active listings are the short-term rentals on Airbnb, Vrbo, and Booking.com that were available or booked in the trailing 12 months. AirDNA de-duplicates the same home across channels, and the count refreshes monthly.How AirDNA counts active listings →
Annual revenue: Annual revenue is the trailing-twelve-month earnings of a typical active listing before host expenses, including booked nightly rates plus cleaning and other guest fees.How AirDNA calculates revenue →
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 →
Average daily rate (ADR): ADR is the average nightly price guests actually paid across booked nights in the trailing 12 months. Nights that didn't book are excluded.How AirDNA calculates ADR →
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? →
Market Score: AirDNA's Market Score grades each market from 40 to 100 on short-term rental potential, weighing rental demand, revenue growth, seasonality, regulation, and investability. Markets are benchmarked against others in the same country.How Market Score is calculated →