New to CARTO: Gloval Analytics’ housing data


See Gloval Analytics' data from CARTO's Data Observatory in action, including real estate, energy performance and environmental risk use cases

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New to CARTO: Gloval Analytics’ housing data

The real estate sector is a fast-paced environment where the demands for accurate property  information are high so customers can make rapid and well-informed decisions. Given its high economic & social impact, the volume of agents involved and the extent of cross-selling opportunities all generate a level of competitiveness that requires insightful and faster decisioning, powered by data.

There are two basic concepts that underpin the real estate sector: the existence and availability of a property asset, and also the  surrounding environment which impacts the asset’s overall market value.

Having varied, in-depth data about properties and their surroundings is as essential as their descriptive information, and can give agents and customers a more complete picture of the available asset. With the availability of varied and complete data sources, analytical approaches can use both prescriptive and predictive techniques to anticipate relevant events and make the right decisions at the right time.

With this in mind, we are pleased to announce our partnership with Gloval. With 35 years of experience in the Real Estate sector, they have developed a series of datasets that provide data around the real estate market to help players evaluate risks when making investments or adjusting their property portfolios. As of today, 3 new datasets from Gloval are available as premium subscriptions in CARTO’s Data Observatory.

This dataset provides a series of variables which identify and quantify important aspects surrounding real estate transactions. It helps to determine the price of assets, either for sale or rent, and also answer more complex questions such as supply, demand and market evolution. This data product enables varied analytical use cases such as:

  • Site selection and planning
  • Portfolio Valuations
  • In-field or desktop analytics
  • Automated Valuation Modeling
  • Portfolio Segmentation
  • Algorithm Modeling

Among the variables provided within the Real Estate Market dataset, the Rental Market Tension Level is also available. This index indicates how expensive it is to access the rental market in each area; in relation to the economic profitability of  rents for each owner. It shows the relationship between the average rental price in each census tract, household income, the percentage of the family budget spent on rental, purchase and sale prices, and the supply/demand of housing both for rent and purchase.

Tension Level of the Rental Market in Madrid. Open the map in full screen here.

The EU taxonomy for sustainable activities is a classification system established to determine which investments are environmentally sustainable, within the context of the European Green Deal. The aim of the taxonomy is to prevent greenwashing and to help investors make greener choices that are evaluated based on  six criteria: 

  • Climate change mitigation
  • Climate change adaptation
  • The circular economy
  • Pollution
  • Effect on water
  • Biodiversity

Energy performance, with emissions and consumption at its core, is crucial for anyone who wants to operate in the real estate market today and in the future. This dataset provides, at the census section level, current emissions and energy consumption of the area, including statistics such as modal letter, values, and a score.

CO2 Emissions Score in Madrid. Open the map in full screen here.

This dataset has been created to provide data on the different environmental risk factors affecting real estate. It enhances the available environmental criteria by classifying each location and so facilitating real estate analysis within the context of the EU sustainability taxonomy. A score is available which classifies different risks, making analysis and comparison between geographical areas simpler.

Not only will this data provide a summarized risk index, but also details of the inherent risks, such as:

  • Air quality
  • Maritime and river flooding
  • Desertification
  • Possible soil erosion
  • Frequency of fires

The classification of  areas helps decision-making. It not only provides data on the property itself, but also insights on the surrounding environment. In the example below you can see the environmental risk of an area, including detail on the main risk factors. These insights allow Real Estate agents to better segment a property portfolio according to the assumed risk.

Maritime Flood Risk Score in Valencia. Open the map in full screen here.

Want to learn more about Gloval’s work? Read their story here, or explore a sample of their data with a free 14-day trial CARTO account.