Nigerian House

The Nigerian House Price Dataset is an in-depth resource that captures essential information about housing prices across various towns and states in Nigeria. Its purpose is to provide insights into the real estate market by analyzing factors influencing property values, which makes it especially valuable for those looking to understand Nigeria’s housing market dynamics and for professionals focused on price forecasting and valuation analysis. This dataset can help users study trends and patterns in the Nigerian real estate sector, enabling them to identify the drivers behind property pricing and gauge the impact of different property characteristics on market value.

The dataset contains several key variables that describe specific property features:

Bedrooms: This variable represents the number of bedrooms in each property. Bedrooms are generally one of the primary indicators of a property's size and potential value, as larger properties with more bedrooms often command higher prices. Analyzing the number of bedrooms across different price ranges can reveal patterns that correlate with property sizes and configurations.

Bathrooms: This variable shows the number of bathrooms available in each property. Bathrooms are often linked with property value, as the number and quality of bathrooms can significantly impact a buyer's willingness to pay. Properties with more bathrooms tend to appeal to families or larger households, which can drive up demand and pricing.

Toilets: Distinct from bathrooms, this variable lists the total number of toilets available in each property. Although toilets are often included within bathrooms, additional separate toilets or powder rooms can be a sought-after feature, particularly in larger or high-end properties.

Parking Space: This variable represents the availability of parking spaces, measured by the number of cars that can be accommodated. Parking availability is an essential feature in urban areas where space may be limited, and properties with dedicated parking facilities typically have a higher market value. In high-density towns, the presence or absence of adequate parking can notably affect a property’s appeal and pricing.

Title: The title variable describes the type of property listed, which may include apartments, detached houses, duplexes, etc. The type of property is a critical factor in valuation, as different types cater to varying segments of the housing market, influencing pricing trends. For example, detached houses are generally more expensive due to the land area they occupy compared to apartments or semi-detached units.

Town: This variable specifies the town in which the property is located. Town-level analysis allows users to understand local real estate markets, recognizing variations in property prices due to urbanization, amenities, and socioeconomic factors unique to each town.

State: This variable represents the Nigerian state where the property is located. State-level data provides a broader view of regional real estate markets, enabling comparisons across different states to examine how local economies, infrastructure, and population density influence property values.

Price: The price variable denotes the listed price of each property in Nigerian Naira (₦). This is the target variable in predictive modeling for pricing analysis and forms the basis for assessing how the other variables contribute to overall property valuation. Understanding price trends by comparing prices across different states, towns, and property types offers valuable insights into Nigeria's housing market landscape.

The Nigerian House Price Dataset can be used by data scientists, analysts, and real estate professionals to perform predictive analysis, identify real estate trends, and provide data-driven guidance for property investments. By studying correlations between property attributes and prices, stakeholders can make informed decisions, understand property value fluctuations, and explore region-specific real estate trends.