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Advanced UK Housing Market Analytics

Professional-grade housing market analytics platform for investors and researchers. Filter regions by custom criteria, compare multiple markets side-by-side, analyze historical trends, and export comprehensive reports. Featuring predictive 3-month price projections and automated market insights.

Advanced Dashboard is a Premium Feature

Unlock full access to advanced analytics, interactive comparisons, data exports, and predictive insights for £9.99/month or £89/year.

Subscriptions launch soon. Free tier always available.

How to Use This Advanced Dashboard

Filtering Markets

Use the collapsible filter panel to narrow down regions based on your investment criteria. Adjust price ranges, set maximum HPER thresholds, filter by growth rate, or select specific regions. Quick presets like “Most Affordable” and “Fastest Growing” provide instant market views.

  • Price Range: Focus on markets within your budget
  • HPER Threshold: Find regions where homes are affordable relative to local earnings
  • Annual Change: Identify growing or cooling markets
  • Region Selection: Compare specific geographic areas

Comparing Regions

Select up to 4 regions using the comparison checkboxes in the table. A detailed comparison panel will appear showing side-by-side metrics, overlaid price trends, historical performance (3, 6, and 12-month changes), and winner badges for each category. This helps identify the best-performing market for your specific criteria.

Understanding Charts

Four interactive visualizations provide different perspectives on the market:

  • Regional Price Distribution: Compare absolute prices across all regions
  • Affordability Sweet Spots: Scatter plot showing price vs HPER relationship
  • Growth Leaders: Top 5 regions by annual price appreciation
  • 24-Month Trends: Historical price movements for top-performing regions

Predictive Insights

3-month price projections use linear regression analysis on recent trends. Confidence ratings (high/medium/low) indicate projection reliability based on trend consistency. Use these as directional indicators, not precise predictions.

Exporting Data

Export filtered results to CSV for spreadsheet analysis or generate a formatted PDF report with executive summary, full metrics table, and data sources. Exports include all visible data after filters are applied.

Understanding Market Trends

Momentum Indicators

Compare 3-month, 6-month, and 12-month price changes to identify acceleration or deceleration. Markets showing consistent growth across all timeframes indicate strong momentum. Divergence between short-term and long-term trends may signal turning points.

Emerging Markets

Regions flagged as “emerging” show accelerating growth patterns. These markets may offer early investment opportunities but carry higher risk. Look for sustained 6-month growth exceeding 3-month performance as a confirmation signal.

Cooling Trends

Markets with declining 3-month growth compared to longer-term averages may be cooling. This could indicate market stabilization or the start of a downward trend. Cross-reference with HPER changes to understand if affordability is improving.

Interpreting Projections

Linear regression projections assume current trends continue. Real markets are affected by policy changes, economic shifts, and external factors not captured in historical data. High-confidence projections indicate stable trends but should still be considered indicative only. Always perform additional due diligence before investment decisions.

Housing Market Glossary

HPER (House Price to Earnings Ratio)

The ratio of median house price to median annual workplace-based earnings. A HPER of 5.0 means a median-priced home costs 5 times the median annual salary. Lower ratios indicate better affordability relative to local wages. UK average is typically 7-9, with London often exceeding 12.

Normalization

The process of scaling different metrics to a common 0-1 range for fair comparison. Min-Max normalization maps the lowest value to 0 and highest to 1, with all others proportionally scaled between. For affordability metrics (price, HPER), the scale is inverted so 1.0 represents the most affordable.

Affordability Score

Composite metric averaging normalized house price and normalized HPER. Scores range from 0 (least affordable) to 1 (most affordable). This provides a single number capturing both absolute price levels and affordability relative to local incomes.

Overall Score

Weighted combination of affordability (60%) and growth (40%). Balances finding affordable markets with identifying areas showing positive price momentum. Higher scores indicate regions offering both good value and growth potential.

Annual Change

Year-on-year percentage change in average house price. Calculated by comparing current month to the same month previous year. Positive values indicate price appreciation, negative values indicate depreciation. UK annual growth typically ranges from -2% to +10% depending on economic conditions.

Linear Regression

Statistical method for predicting future values based on historical trends. Fits a straight line through recent data points and extends it forward. Works best when trends are stable and consistent. Less reliable during periods of market volatility or structural change.

Regional Market Context

Northern England (North East, North West, Yorkshire)

Historically the UK's most affordable regions, offering strong value for first-time buyers and yield-focused investors. Lower average salaries result in favorable HPER ratios despite growing prices. Major cities like Manchester, Liverpool, and Leeds drive regional growth.

Midlands (East & West)

Balanced markets between North and South, with improving transport links (HS2) driving long-term growth potential. Birmingham, Nottingham, and Leicester anchor regional economies. Often considered “sweet spot” for value and growth combination.

Southern England (South East, South West, East of England)

Premium markets with higher absolute prices but strong economic fundamentals. Proximity to London drives demand in South East and East of England. South West benefits from lifestyle migration and coastal appeal. HPER ratios typically unfavorable despite high wages.

London

UK's most expensive market with unique dynamics. Global investment destination with prices driven by international capital as much as domestic demand. Highest HPER in UK (often 12+) makes affordability challenging. Strong historical appreciation but cyclical volatility.

Wales

Emerging market showing accelerated growth post-pandemic. Benefits from English buyers seeking affordability and lifestyle improvements. Lower average prices and improving infrastructure make it attractive for value investors. Cardiff leads urban growth.

Scotland

Separate legal system for property transactions. Generally affordable compared to England, particularly outside Edinburgh and Glasgow. Strong rental yields in cities. Different HPER calculation methodology due to data availability.

Northern Ireland

UK's most affordable region with consistently low prices and HPER. Recovering from historical underperformance with recent strong growth. Belfast driving regional economy. Unique political and economic factors influence market dynamics.

Detailed Methodology

Data Processing Pipeline

All metrics are derived from authoritative UK government sources and updated monthly:

  1. Raw data extracted from HM Land Registry UK House Price Index (monthly average prices)
  2. HPER data sourced from ONS Housing Affordability datasets (annual publication with quarterly updates)
  3. 24-month price history compiled for trend analysis
  4. Min-Max normalization applied to create comparable 0-1 scales
  5. Composite scores calculated using weighted averages
  6. Statistical analysis performed for projections and insights

Normalization Formulas

Standard normalization (for growth metrics):

normalized = (value - min) / (max - min)

Inverted normalization (for affordability metrics):

normalized = 1 - ((value - min) / (max - min))

Score Calculation Details

Affordability Score:

affordability = (normalized_price + normalized_hper) / 2

Overall Score:

overall = (affordability × 0.6) + (growth × 0.4)

Projection Methodology

Linear regression on 6 most recent months using least squares method:

slope = (n×Σ(xy) - Σx×Σy) / (n×Σ(x²) - (Σx)²)intercept = (Σy - slope×Σx) / nprojected_price = slope × (n + 3) + intercept

Confidence determined by R² (coefficient of determination): High R² > 0.8, Medium R² > 0.5, Low R² ≤ 0.5

Data Sources & Attribution

  • House Prices:HM Land Registry UK House Price Index. Contains HM Land Registry data © Crown copyright and database right 2026. Updated monthly with regional average prices and historical data.
  • HPER Data:Office for National Statistics (ONS) Housing Affordability in England and Wales. Ratio of median house price to median annual workplace-based earnings. Source: Annual Survey of Hours and Earnings (ASHE) and HM Land Registry.* Scotland & Northern Ireland: Calculated using median annual earnings from ASHE due to different data availability. May not be directly comparable to England & Wales figures.
  • Coverage:Complete UK coverage across 12 regions: 9 English regions (North East, North West, Yorkshire and The Humber, East Midlands, West Midlands, East of England, London, South East, South West), plus Wales, Scotland, and Northern Ireland.
  • Update Frequency:Dashboard data refreshes every 24 hours. Source data: House prices update monthly (typically mid-month), HPER updates annually with quarterly revisions.