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Dublin Rental Crisis Predictor

Machine learning model predicting Dublin rental prices using official RTB government data.

Key Results

  • 73.8% accuracy (R² score)
  • €174 average prediction error
  • Trained on 3,280 Dublin properties from 2020-2024
  • Covers 23 Dublin districts and 5 property types

Problem Statement

Dublin rental prices increased 14.9% from 2020-2024, creating affordability crisis. This model helps renters and policymakers understand pricing factors.

Data Source

Official Residential Tenancies Board (RTB) data via Irish government open data portal.

Key Insights

  • Dublin 4 most expensive (€2,432 avg for 2-bed)
  • Dublin 22 most affordable (€1,632 avg for 2-bed)
  • Each bedroom adds €350-400 to monthly rent
  • Detached houses 15-20% premium over apartments
  • Projected 3.7% annual growth continuing

Technologies

  • Python, pandas, scikit-learn, matplotlib
  • Data from data.gov.ie (CSO/RTB)

Author

Built as part of MSc Data Analytics portfolio at DCU

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Machine learning model predicting Dublin rental prices with 74% accuracy using official RTB government data.

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