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Real Estate Market Dynamics
Stock & Market Data
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About
This dataset presents detailed information concerning real estate property transactions, with each row representing a unique transaction event. It encompasses various key attributes such as transaction dates, property locations, estimated and actual sale prices, and distinctive property characteristics like type, residential status, number of rooms, number of bathrooms, and carpet area. Additionally, it includes the applicable property tax rates. This data offers valuable insights into the dynamic real estate market, illuminating trends in property pricing, property classifications, and tax rates across diverse localities and over different years. It serves as a valuable resource for market analysis, predictive modelling, and informed decision-making within the real estate industry.
Columns
- Date: The exact date on which the property transaction took place. This ranges from 2nd January 2009 to 30th September 2022.
- Year: The calendar year corresponding to the property transaction date, spanning from 2009 to 2022.
- Locality: The specific geographical area or district where the property is situated. Common localities include Waterbury and Bridgeport. Approximately 13% of values for this column are missing.
- Estimated Value: The estimated monetary value of the property. Values range from 0 to 21.1 million. Approximately 12% of values for this column are missing.
- Sale Price: The actual price at which the property was sold. An example value is 185,000.0.
- Property: The general classification of the property, such as 'Single Family'.
- Residential: An indicator of the property's residential type, for instance, 'Detached House'.
- Num_rooms: The total count of rooms present within the property. Values typically range from 3 to 8.
- Num_bathrooms: The total count of bathrooms within the property. Values typically range from 1 to 8.
- Carpet Area: The measured carpet area of the property, expressed in square units. Values range from 900 to 2,990. Approximately 13% of values for this column are missing.
- Property Tax Rate: The tax rate that applies to the property. Values range from 1 to 1.42.
- Face: The directional facing of the property, such as 'North' or 'East'.
Distribution
This dataset is typically provided in a CSV format (e.g., V3.csv) and has a file size of 920.25 kB. It is structured with 10,000 individual records or rows and 12 distinct columns. Each row offers a record of a single real estate property transaction.
Usage
This dataset is ideal for a variety of applications and use cases, including:
- Conducting real estate market analysis to identify trends and patterns.
- Developing predictive models for property valuation and pricing.
- Supporting decision-making processes within the real estate industry.
- Gaining a deeper understanding of property market dynamics.
- Assessing property values based on historical transactions and characteristics.
- Informing investment decisions by analysing market performance.
Coverage
The dataset's geographic scope includes various localities, with examples such as Waterbury and Bridgeport frequently appearing. The time range for the transaction data extends from 2nd January 2009 to 30th September 2022, covering over a decade of market activity. The demographic scope primarily focuses on residential property types, including 'Single Family' and 'Detached House'. It is important to note that certain fields, specifically Locality, Estimated Value, and Carpet Area, may contain missing data.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Researchers interested in studying real estate market trends and economic indicators.
- Analysts performing market segmentation, forecasting, and data-driven insights.
- Stakeholders in the real estate sector, including developers, agents, and investors, for strategic planning and due diligence.
- Individuals seeking to understand property valuation and investment opportunities.
Dataset Name Suggestions
- Property Transaction Details UK
- Real Estate Market Dynamics
- Residential Property Sales Data
- UK Housing Transaction Record
- Property Value Trends
Attributes
Original Data Source: Real Estate Market Dynamics
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