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London Short-Term Rental Insights
Data Science and Analytics
Tags and Keywords
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Free
About
This dataset details Airbnb listing activity and associated metrics within London, UK, for the year 2022. It provides insight into how guests and hosts utilise the Airbnb platform to offer and experience distinctive travel opportunities, reflecting the continued expansion of personalised lodging since 2008.
Columns
- id: A unique identifier for each listing.
- name: The name of the listing. Contains 67,000 unique values, with 21 missing entries.
- host_id: A unique identifier for each host.
- host_name: The name of the host. Contains 13,000 unique values, with 5 missing entries. The most frequent host name is 'Alex'.
- neighbourhood_group: This column has no valid entries, with all 69,400 entries being null.
- neighbourhood: The specific London neighbourhood where the listing is located. Contains 33 unique values. 'Westminster' and 'Tower Hamlets' are the most common neighbourhoods.
- latitude: The geographical latitude coordinate of the listing. Values range from 51.3 to 51.7.
- longitude: The geographical longitude coordinate of the listing. Values range from -0.52 to 0.31.
- room_type: The type of room offered (e.g., 'Entire home/apt', 'Private room'). 'Entire home/apt' makes up 59% of entries, while 'Private room' is 40%.
- price: The price of the listing. Values range from 0 to 25,000, with most listings priced between 0 and 1250.
- minimum_nights: The minimum number of nights required for a booking. Values range from 1 to 1125, with many listings requiring just 1 night.
- number_of_reviews: The total count of reviews for the listing. Values range from 0 to 1141.
- last_review: The date of the most recent review. Dates span from 2 July 2011 to 11 September 2022, with 16,800 missing entries.
- reviews_per_month: The average number of reviews received per month. Values range from 0.01 to 51.3, with 16,800 missing entries.
- calculated_host_listings_count: The total number of listings associated with a particular host. Values range from 1 to 285.
- availability_365: The number of days the listing is available over a 365-day period. Values range from 0 to 365.
- number_of_reviews_ltm: The number of reviews received in the last twelve months. Values range from 0 to 660.
- license: This column has no valid entries, with all 69,400 entries being null.
Distribution
The dataset is provided as a CSV file named
listingss.csv, with a file size of 10.05 MB. It contains 18 columns and approximately 69,400 records.Usage
This dataset is suitable for various applications, including:
- Exploratory Data Analysis: Uncover patterns and insights regarding Airbnb activity in London.
- Market Analysis: Understand pricing strategies, host behaviours, and listing popularity across different areas.
- Predictive Modelling: Forecast pricing, review trends, and busy periods for hosts and locations.
- Geospatial Analysis: Identify differences in traffic and listing density among various London boroughs.
- Business Intelligence: Gain insights for the hotels and accommodations sector, as well as broader housing market trends.
Coverage
The dataset focuses on Airbnb listings within London, UK, for the calendar year 2022. The review dates within the dataset extend from July 2011 up to September 2022, providing historical context for listing activity leading into 2022. Specific demographic scopes beyond "guests and hosts" are not detailed.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
This dataset is ideal for:
- Data Analysts and Scientists: For exploratory data analysis, building predictive models for pricing or demand, and understanding market dynamics.
- Hospitality Businesses: To benchmark their services, understand competitor strategies, and identify popular locations or room types.
- Urban Planners and Researchers: To study the impact of short-term rentals on local housing markets and neighbourhood characteristics in London.
- Students and Academics: For research projects related to tourism, urban studies, and economic trends.
Dataset Name Suggestions
- London Airbnb Activity 2022
- London Listing Metrics
- UK Capital Airbnb Data
- London Short-Term Rental Insights
- Airbnb London 2022 Data
Attributes
Original Data Source: London Short-Term Rental Insights
QUALITY