Melbourne, Australia

Last updated: March 30, 2025

17,323 active listings

Asia Pacific

Market Overview

Comprehensive data for the Melbourne short-term rental market, including detailed property information, host profiles, guest reviews, and pricing patterns. This dataset is ideal for market research, competitive analysis, and investment decision-making.

Total Listings

17,323

Average Price

$206

Occupancy Rate

46.2%

Annual Revenue

$27046

Available Datasets

Listings Data

Comprehensive property listings with detailed information including property attributes, ratings across multiple categories and various trailing twelve months performance metrics

CSVJSONParquet

Schema

Field	Type	Description
listing_id	long	Unique identifier for the listing
host_id	long	Unique identifier for the host
host_name	string	Name of the host
listing_name	string	Title of the listing
latitude	decimal	Geographical latitude coordinate
longitude	decimal	Geographical longitude coordinate
guests	integer	Maximum number of guests allowed
bedrooms	integer	Number of bedrooms available
listing_type	string	Type of property (e.g., apartment, house, villa)
room_type	string	Type of room (e.g., entire home, private room)
beds	integer	Number of beds available
baths	decimal	Number of bathrooms available
min_nights	integer	Minimum number of nights required to book
num_reviews	integer	Total number of reviews received
star_rating	decimal	Overall star rating of the property
cover_photo_url	string	URL of the main listing photo
photos_count	integer	Number of photos available for the listing
superhost	boolean	Whether the host is a superhost
cohost	boolean	Whether the property has a co-host
registration	string	Regulatory registration or license number required for operating the listing
amenities	array<string>	List of amenities offered
cancellation_policy	string	Type of cancellation policy offered
tier	string	Quality classification (Basic, Plus, or Luxury tier) of the listing
rating_overall	decimal	Overall rating score
rating_accuracy	decimal	Rating score for listing accuracy
rating_communication	decimal	Rating score for host communication
rating_cleanliness	decimal	Rating score for cleanliness
rating_location	decimal	Rating score for location
rating_checkin	decimal	Rating score for check-in experience
rating_value	decimal	Rating score for value
currency	string	Currency used for pricing
ttm_vacant_days	integer	Number of vacant days in trailing twelve months
ttm_booked_days	integer	Number of booked days in trailing twelve months
ttm_occupancy	decimal	Occupancy rate in trailing twelve months
ttm_revenue	decimal	Total revenue in trailing twelve months
ttm_native_revenue	decimal	Total revenue in native currency in trailing twelve months
ttm_avg_rate	decimal	Average daily rate in trailing twelve months
ttm_avg_native_rate	decimal	Average daily rate in native currency in trailing twelve months

Past Calendar Rates

Past 12 months of calendar rates data with occupancy rates, revenue metrics, average daily rates, booking lead times, and minimum night requirements

CSVJSONParquet

Schema

Field	Type	Description
listing_id	long	Unique identifier for the listing
date	date	First day of the month for aggregated monthly data
vacant_days	integer	Number of days the property was vacant
booked_days	integer	Number of days the property was booked
occupancy	double	Occupancy rate
revenue	double	Total revenue generated during the month
rate_avg	double	Average daily rate
booked_rate_avg	double	Average rate when booked
booking_lead_time_avg	double	Average booking lead time in days
min_nights_avg	double	Average minimum nights requirement
native_booked_rate_avg	double	Average rate when booked in native currency
native_rate_avg	double	Average daily rate in native currency
native_revenue	double	Revenue generated in native currency

Future Calendar Rates

Future 12 months of calendar rates data with occupancy forecasts, expected revenue, pricing trends, and advanced booking information for upcoming months

CSVJSONParquet

Schema

Field	Type	Description
listing_id	long	Unique identifier for the listing
date	date	First day of the month for aggregated monthly data
vacant_days	integer	Number of days the property was vacant
booked_days	integer	Number of days the property was booked
occupancy	double	Occupancy rate
revenue	double	Total revenue generated during the month
rate_avg	double	Average daily rate
booked_rate_avg	double	Average rate when booked
booking_lead_time_avg	double	Average booking lead time in days
min_nights_avg	double	Average minimum nights requirement
native_booked_rate_avg	double	Average rate when booked in native currency
native_rate_avg	double	Average daily rate in native currency
native_revenue	double	Revenue generated in native currency

Reviews Data

Monthly review aggregations showing review counts and reviewer IDs associated with each listing

CSVJSONParquet

Schema

Field	Type	Description
listing_id	long	Unique identifier for the listing
date	date	First day of the month when reviews were aggregated
num_reviews	long	Number of reviews for the listing
reviewers	array<long>	List of reviewer IDs

Host Data ✨ Coming Soon

Host profile information including verification status, superhost designation, ratings, property portfolio size, languages spoken, and biographical details

CSVJSONParquet

Schema

Field	Type	Description
host_id	long	Unique identifier for the host
host_name	string	Name of the host
is_host	boolean	Whether the user is a host
is_superhost	boolean	Whether the host is a superhost
ratings	decimal	Host rating score
reviews_count	integer	Number of reviews received by the host
listing_count	integer	Number of properties managed by host
member_since	date	Date the host joined the platform
languages	array<string>	Languages spoken by the host
profile_picture	string	URL to host profile image
about	string	Host self-description and biography

Data Information

Update Frequency
Monthly
Last Updated
March 30, 2025
Data Verification
Verified and cleaned by our data science team
Usage License
Academic and personal use license included

Related Markets

View all markets

Need Custom Data?

Require specialized datasets, custom time ranges, or additional metrics? Our data science team can prepare custom extracts tailored to your specific needs.

Request Data

Melbourne, Australia

Market Overview