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Rio de Janeiro 2022 Short-Term Rental Listings
Data Science and Analytics
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About
This collection of data captures a detailed snapshot of Airbnb listings within Rio de Janeiro, Brazil, specifically covering the year 2022. It aggregates public information sourced from the Airbnb platform, including review details and future availability calendars for 365 days. The data has been subject to verification, cleansing, and analysis processes. It is significant for researchers and analysts wishing to examine the dynamics of the short-term rental market in a major urban area, enabling critical analysis of factors like pricing, host performance, and geographic concentration.
Columns (List and describe each column found in the 'Original Data Sample'.)
id: The unique identification number assigned by Airbnb to each listing.name: The stated name of the accommodation listing.host_id: The unique identification number for the corresponding host or user.host_name: The name of the host, typically including only first name(s).neighbourhood: The specific neighbourhood where the listing is located, determined by comparing geographic coordinates with city definitions, as opposed to potentially inaccurate Airbnb-provided neighbourhood names.latitude: The listing's latitude coordinate, using the World Geodetic System (WGS84) projection.longitude: The listing's longitude coordinate, using the World Geodetic System (WGS84) projection.room_type: Describes the accommodation arrangement, such as 'Entire home/apt', 'Private room', 'Shared room', or 'Hotel'. Approximately 78% of the listings are ‘Entire home/apt’.price: The daily rental cost expressed in the local currency.minimum_nights: The minimum stay required for the listing, though calendar rules may sometimes differ.number_of_reviews: The total count of reviews associated with the listing.last_review: The date of the most recent or newest review posted for the listing.reviews_per_month: The monthly average number of reviews calculated over the listing's lifetime.calculated_host_listings_count: The total number of listings the host maintains within the current geographical scrape area.availability_365: The availability of the listing over the next 365 days, as shown by the calendar. Note that this metric may be understated as nights that are booked are indistinguishable from those blocked by the host.number_of_reviews_ltm: The number of reviews the listing has accumulated during the last 12 months.
Distribution
The data file is provided in CSV format and is identified as
AirbnbRJRentals.csv, with a size of 4.16 MB. The dataset contains 16 columns. The current data represents a specific snapshot in time and is not expected to receive future updates. The file holds roughly 28,300 valid records.Usage
This data is ideal for applications involving public analysis, community benefit, and discussion related to short-term rentals. Potential applications include conducting linear regression analysis, studying urban tourism patterns, investigating pricing strategies across different accommodation types, and analysing host activity levels within Rio de Janeiro.
Coverage
The geographic scope is focused solely on Rio de Janeiro, Brazil. The time range pertains to listings available during 2022. Geographical positions utilise the WGS84 standard, ensuring locational accuracy. Neighbourhood boundaries are determined by comparing listing coordinates with official city definitions.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
Intended users include data scientists performing urban modelling, market researchers studying accommodation trends, academics researching tourism economics, and policymakers interested in understanding local short-term rental saturation (e.g., in areas like Copacabana or Barra da Tijuca).
Dataset Name Suggestions
- Rio de Janeiro 2022 Short-Term Rental Listings
- Airbnb RJ Market Snapshot 2022
- Brazil Urban Accommodation Data
- Rio de Janeiro Airbnb Metrics 2022
Attributes
Original Data Source: Rio de Janeiro 2022 Short-Term Rental Listings
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