Expanded real estate data with key economic and transactional metrics.

New Enriched Data Integration: Comprehensive Real Estate Metrics

We have expanded our dataset to include critical economic and transactional data points that provide deeper insights into real estate markets. The newly incorporated data fields are:

Affordability Percentage: This metric quantifies the relative affordability of the housing market in a given area, calculated by comparing local income levels to average property prices. It serves as an essential indicator for evaluating market accessibility for different population segments.
Distance to Closest City: This spatial data point measures the proximity of properties or neighborhoods to the nearest urban center, which is an important factor influencing property values, demand dynamics, and infrastructural development.
Average Income: Incorporating average income data enables more accurate assessments of economic capacity within regions, supporting nuanced market segmentation and forecasting models.
Sale Transactions: Detailed records of property sales volumes provide insight into market liquidity, pricing trends, and buyer activity over specific periods.
Properties on Sale: Tracking the active inventory of properties available for sale allows for real-time analysis of supply levels, contributing to supply-demand equilibrium evaluations.
Stock Variation: This indicator reflects changes in property availability over time, highlighting market dynamics such as new developments, withdrawals, or changes in listing status.
Rent Transactions: Inclusion of rental market transaction data expands our understanding beyond ownership markets, capturing leasing activity and helping to identify rental demand.
Rental Properties: The count and characteristics of properties available for rent assist in analyzing rental market supply and housing options for non-ownership segments.

These data points collectively enrich the analytical framework, allowing users to conduct more comprehensive market analyses, enhance predictive modeling, and sharpen strategic decision-making processes in real estate investments and urban planning.