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Moscow Real Estate Price Prediction Archive
Comodities & Real Estate
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About
Predicting housing prices within Moscow and the Moscow Oblast region relies on a variety of spatial and physical factors. These records provide a detailed look into the real estate market as of November 2023, capturing the diverse attributes that influence property valuations. By examining variables such as proximity to transport links, apartment types, and internal refurbishment standards, the data facilitates the development of models to estimate costs for both new developments and secondary market properties. Understanding these dynamics is essential for identifying the primary drivers of the regional housing market, including the significant impact of metro accessibility and floor positioning on final sales figures.
Columns
- Price: The primary target variable representing the total cost of the apartment in the local currency.
- Apartment type: The classification of the property, such as "New building" or "Secondary" market units, ranging from studios to multi-bedroom apartments.
- Metro station: The name of the nearest underground station to the property.
- Minutes to metro: The walking time required to reach the nearest metro station, measured in minutes.
- Region: Indicates whether the property is located in Moscow or the surrounding Moscow Oblast region.
- Number of rooms: The total count of rooms within the apartment unit.
- Area: The total size of the apartment measured in square metres.
- Living area: The portion of the property dedicated to usable living space in square metres.
- Kitchen area: The specific size of the kitchen area in square metres.
- Floor: The specific level on which the apartment is situated within the building.
- Number of floors: The total vertical height of the building where the property is located.
- Renovation: The quality and style of the interior refurbishment, categorised from "no renovation" to "euro renovation."
Distribution
The data is delivered in a CSV file titled
price moscow new.csv with a total file size of 2.4 MB. The collection contains 22,700 valid records with no missing or mismatched values across the primary fields. The resource is maintained with a usability score of 10.00 and is expected to be updated on an annual basis.Usage
This collection is designed for training and testing regression models and machine learning algorithms to forecast real estate prices. It is particularly useful for performing exploratory data analysis to determine correlations between price and metro proximity, or the effect of renovation standards on property value. Analysts can also use the data to investigate price disparities between central Moscow and the wider Oblast region, or to study buyer preferences regarding floor levels and apartment types.
Coverage
The geographic scope is focused on Moscow and the Moscow Oblast region. Temporally, the figures represent the market state as of November 2023. The data includes a wide range of property sizes and types, reflecting a diverse cross-section of the residential market during this period.
License
CC0: Public Domain
Who Can Use It
Machine learning engineers can utilise these records to build and refine predictive models for the housing market. Real estate analysts and investors may use the insights to identify undervalued properties or to understand regional market trends. Additionally, academic researchers and students focusing on econometrics or urban planning will find the detailed spatial and physical attributes useful for studying housing dynamics in a major metropolitan area.
Dataset Name Suggestions
- Moscow Real Estate Price Prediction Archive
- Moscow and Oblast Housing Market Insights 2023
- Metropolitan Moscow Apartment Valuations and Features
- Russian Capital Housing Regression and Analysis Set
- MoscowHomes: Residential Property Price Dynamics
Attributes
Original Data Source: Moscow Real Estate Price Prediction Archive
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