Combining EPC Data with Non-Public Data to Locate Unlicensed HMOs with Very High Accuracy
Locating unlicensed Houses in Multiple Occupation (HMOs) can be a difficult task for local authorities, particularly when relying solely on publicly available data. That’s why PRS Intel has developed an advanced data analysis technique that combines EPC data with non-public financial data to locate unlicensed HMOs with high accuracy.
Our technique starts by analyzing the EPC database to identify properties that are likely to be HMOs based on a range of factors, including the number of bedrooms, the property type, and the location. However, we don’t stop there. We then combine this data with non-public financial data to look at the churn rates of occupants in these properties.
By analyzing financial data such as rental income, deposits, and tenancy agreements, we’re able to identify properties that have a high churn rate of occupants, which is a strong indicator that the property is being used as an unlicensed HMO. This allows us to locate unlicensed HMOs with a high degree of accuracy, and provide local authorities with the information they need to take action.
At PRS Intel, we’re committed to helping local authorities tackle the problem of unlicensed HMOs in their area. Our advanced data analysis techniques are designed to provide accurate and actionable information, helping local authorities locate unlicensed HMOs and take the necessary steps to ensure the safety and well-being of tenants.
Contact us today to learn more about how PRS Intel’s advanced data analysis techniques can help you locate unlicensed HMOs in your area, and take action to ensure the safety and well-being of tenants.