The real estate sector is characterized by its high economic and social impact, requiring accurate property information to make rapid and informed decisions, powered by data. Having varied and complete data about properties and their surroundings is essential for agents and customers to gain a more comprehensive picture of the available asset. Gloval Analytics has developed datasets that provide insights into the real estate market, including variables that identify and quantify important aspects surrounding real estate transactions, such as supply, demand, and market evolution. These datasets also include environmental risk factors, allowing Real Estate agents to better segment a property portfolio according to the assumed risk, with features like the Rental Market Tension Level index, EU taxonomy for sustainable activities, and environmental risk scores that classify areas and provide insights on the surrounding environment.