Dark Mode
New York City Airbnb Market Data
Stock & Market Data
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
An invaluable look into New York City's expansive Airbnb industry, this dataset captures information from over 20,000 listings. It provides details on property descriptions, rates, reviews, and availability schedules. Professionals and researchers can use this resource to gain insight into the dynamics of the NYC Airbnb market, allowing for analysis of demand, supply, and customer experience.
Columns
- name: The name of the Airbnb listing.
- host_name: The name of the host of the Airbnb listing.
- neighbourhood_group: The borough or area where the Airbnb listing is located.
- latitude: The latitude coordinate of the Airbnb listing.
- longitude: The longitude coordinate of the Airbnb listing.
- room_type: The type of room offered by the Airbnb listing (e.g., 'Entire home/apt', 'Private room').
- price: The price per night of the Airbnb listing.
- minimum_nights: The minimum number of nights required for booking the Airbnb listing.
- number_of_reviews: The total number of reviews the Airbnb listing has received.
- last_review: The date of the last review the Airbnb listing has received.
- reviews_per_month: The average number of reviews the Airbnb listing receives per month.
- calculated_host_listings_count: The total number of listings the host has.
- availability_365: The number of days the Airbnb listing is available for booking in a year.
Distribution
The data is available in a single
train.csv file with a size of 7.08 MB. It contains information for over 20,000 Airbnb listings across 16 columns. The last_review and reviews_per_month columns have some missing values.Usage
This dataset is ideal for understanding the Airbnb market in New York City. Key applications include:
- Visualising the geographic distribution of listings across NYC's five boroughs using latitude and longitude data.
- Analysing price variations based on location, room type, and availability.
- Investigating customer satisfaction and experience by examining review counts and dates.
- Studying booking patterns and property availability throughout the year.
- Examining host activity by analysing the number of listings they manage.
Coverage
The dataset's geographic scope is New York City, covering listings across all five boroughs. The time range for the
last_review data spans from March 2011 to July 2019. No specific demographic scope is mentioned.License
CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
Who Can Use It
- Data Analysts and Scientists: For market trend analysis, price prediction modelling, and identifying key factors influencing listing popularity.
- Real Estate Professionals: To gain insights into short-term rental market competition, pricing strategies, and occupancy rates in different neighbourhoods.
- Urban Planners and Researchers: To study the impact of short-term rentals on housing markets and neighbourhood dynamics.
- Business Strategists: For competitive analysis within the accommodations and hospitality industry.
Dataset Name Suggestions
- New York City Airbnb Market Data
- NYC Airbnb Listings and Reviews
- Airbnb Analytics: New York City
- NYC Short-Term Rental Market Insights
Attributes
Original Data Source:New York City Airbnb Market Data
QUALITY