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Airbnb Listing Analytics Dataset
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides detailed insights into the global short-term rental market, focusing on Airbnb listings from 2023. It offers a valuable resource for understanding market trends, identifying popular destinations, and comparing rental prices across various locations worldwide. The information includes listing specifics, pricing details, and review data, making it suitable for analysis by various users.
Columns
- Title: The specific name or title given to an Airbnb listing. It has 756 distinct values, with "Apartment in Kuala Lumpur, Malaysia" being the most common.
- Detail: A short explanation or description of the listing. There are 839 unique descriptions, with "Lovely Private Room-Manhattan, 70s-Upper East Side" appearing most frequently.
- Date: The date when the listing was first created or became active. "May 1 - 6" is the most common date range, representing 23% of entries.
- Price(in dollar): The standard price of the listing, denominated in US dollars. The average price is $171, with values ranging from $16 to $1,460.
- Offer price(in dollar): A special or discounted offer price for the listing, in US dollars. This column has a notable amount of missing data (83%). For available entries, the average offer price is $157, ranging from $16 to $1,090.
- Review and rating: Information on the number of reviews and the average rating received by the listing. "New" is the most frequent entry, indicating listings with no reviews yet.
- Number of bed: The total count of beds available within the listing. "2 beds" is the most common bed count, accounting for 23% of listings.
Distribution
The dataset is provided in a CSV format, specifically as 'airnb.csv', with a file size of 106.06 kB. It consists of 7 columns. Most columns have 953 valid records, ensuring high data quality for key listing attributes. However, the 'Offer price(in dollar)' column has 166 valid entries, with 787 records missing, which is approximately 83% of the total. The dataset is expected to be updated monthly.
Usage
This dataset is ideal for various applications:
- Researchers: To analyse emerging trends and patterns within the short-term rental market.
- Businesses: To pinpoint high-demand destinations for short-term rentals and to conduct comparative pricing analyses across different areas.
- Travellers: To efficiently locate suitable, affordable, and conveniently situated accommodations in diverse locations worldwide.
Coverage
The dataset spans a broad geographic scope, including Airbnb listings from over 190 countries globally. The time range indicated for listing creation dates primarily shows common occurrences for "May 1 - 6" and "Jun 1 - 6" in 2023. No specific demographic coverage is detailed.
License
CC0: Public Domain
Who Can Use It
- Researchers: Those studying hospitality, tourism, and urban development can analyse market dynamics and consumer behaviour.
- Businesses: Companies operating within the travel and accommodation sectors can gain market intelligence for strategic planning and competitive analysis.
- Travellers: Individuals planning trips can use the data to inform their accommodation choices based on price, location, and amenities.
Dataset Name Suggestions
- Airbnb Global Listings 2023
- Short-Term Rental Market Data 2023
- Global Airbnb Pricing and Reviews
- Airbnb Listing Analytics Dataset
Attributes
Original Data Source: Airbnb Listing Analytics Dataset
QUALITY