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Historical Real Estate Transactions Database
Data Science and Analytics
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About
A detailed collection of US real estate sales transactions covering two decades. This data captures sales records where the price was $2,000 or greater, as maintained by the Office of Policy and Management. The dataset provides crucial financial metrics, including the final sale amount, assessed property value, and property type classifications, enabling detailed analysis of historical market performance and valuation methods.
Columns
The dataset contains 14 distinct attributes detailing each transaction:
- Serial Number: A unique identifying number for the record.
- List Year: The year the property was listed for sale, primarily spanning 2001 through 2021.
- Date Recorded: The specific date the sale transaction was officially recorded locally.
- Town: The name of the town where the property is located (e.g., Bridgeport, Stamford).
- Address: The specific street address of the sold property.
- Assessed Value: The property value used for local tax assessment purposes.
- Sale Amount: The exact price the property was sold for.
- Sales Ratio: The calculated ratio comparing the sale price to the assessed value.
- Property Type: Classification of the property, such as Residential, Commercial, Industrial, Apartments, or Vacant land.
- Residential Type: An indicator specifying whether the property is single-family or multi-family residential.
- Non Use Code: A code applied when the sale price may not be reliable for determining property value.
- Assessor Remarks: Notes or remarks provided by the assessor.
- OPM remarks: Remarks or notes provided by the Office of Policy and Management.
- Location: Latitudinal and longitudinal coordinates for the property.
Distribution
The data is provided in a standard file format, typically CSV, and totals approximately 118.74 MB. It includes over 1.05 million valid records. The structure features 14 columns per record. New data is expected to be released annually.
Usage
Ideal applications include real estate investment analysis, particularly for identifying long-term trends in property values and volatility across different property types. It is suitable for modelling housing market dynamics, evaluating the effectiveness of local property assessment techniques, and performing geospatial analysis using the provided location coordinates.
Coverage
The dataset focuses on transactions completed between October 1 and September 30 of various years. The primary listing period spans from 2001 to 2021. While focused on US real estate, the records specifically detail transactions within towns referenced in the collected data. The recorded dates range broadly from April 1999 to September 2022. Only sales with a price of $2,000 or greater are included.
License
CC0: Public Domain
Who Can Use It
- Investment Firms: To inform strategies related to property purchasing and financial forecasting.
- Data Scientists: For developing predictive models concerning housing prices and market behaviour.
- Journalists and Policy Analysts: To report on or study housing affordability, property tax fairness, and urban development.
Dataset Name Suggestions
- US Property Sales History 2001-2021
- Historical Real Estate Transactions Database
- Office of Policy and Management Sales Data
Attributes
Original Data Source: Historical Real Estate Transactions Database
QUALITY