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Connecticut Sales and Valuation Data
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About
The data tracks approximately 430,000 residential real estate transactions in Connecticut recorded between 1 October 2010 and 30 September 2021. Included are critical variables such as assessed value and sale amount, both provided in raw and Consumer Price Index (CPI)-normalized formats, allowing for accurate inflation-adjusted analysis. The exclusion of sensitive information like street address and exact sale date protects individual privacy while retaining high utility for trend analysis.
Columns
- list_year: The grand list year for the property, where years run from 1 October through 30 September.
- town: The specific municipality where the property sale occurred.
- population: The estimated population of the town at the time of the sale.
- residential_type: Categorisation of the property (e.g., single family, two family, condo, etc.).
- month: The month in which the property sale was officially recorded.
- year: The year in which the property sale was officially recorded.
- in_pandemic: A Boolean value indicating whether the sale date was after 11 March 2020.
- assessed_value: The tax assessed value of the property at the time of transaction.
- sale_amount: The final closing price of the property sale.
- price_index: The Consumer Price Index for the specific month/year, used for normalizing monetary values.
- norm_assessed_value: Assessed value adjusted using the CPI (assessed_value / price_index * 100).
- norm_sale_amount: Sale amount adjusted using the CPI (sale_amount / price_index * 100).
- norm_sales_ratio: The normalized ratio between the assessed value and the final sale amount.
- latitude: The latitude coordinate for the property's town.
- longitude: The longitude coordinate for the property's town.
Distribution
The data is usually provided as a CSV file, containing approximately 430,000 records. It features 15 distinct variables, incorporating geographical information, time-series elements, and economic normalization factors. The dataset is currently static and is not scheduled for future updates.
Usage
This data is ideal for time series analysis aimed at detecting changes in property market values and sales volumes. It supports geospatial analysis by providing town-level coordinates. It is highly suitable for economic research, particularly when studying the impact of inflation (via CPI normalization) on real estate assessments and sales. Furthermore, it is structured to assist researchers in evaluating the specific effects of the COVID-19 period on local housing trends.
Coverage
- Geographic Scope: The entire state of Connecticut, United States, broken down by individual towns.
- Time Range: Sales records spanning 1 October 2010 to 30 September 2021.
- Demographic Scope: Limited exclusively to residential property types. Records for non-residential properties and older sales (prior to October 2010) were intentionally omitted.
License
CC0: Public Domain
Who Can Use It
- Economists and Financial Analysts: To track inflation-adjusted property values and assessment ratios.
- Real Estate Professionals: For developing localized market trend reports and valuation models within specific Connecticut towns.
- Data Scientists and Academics: Engaging in geographical plotting, time-series forecasting, and econometric modelling of housing markets.
- Policy Researchers: Evaluating the socioeconomic impact of pandemic-era policies on housing sales.
Dataset Name Suggestions
- Connecticut Residential Sales Trends (2010–2021)
- CT Housing Market Analytics with CPI Adjustment
- New England Residential Real Estate Records 2010–2021
- Connecticut Sales and Valuation Data
Attributes
Original Data Source: Connecticut Sales and Valuation Data
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