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limmo: Luxembourg Housing Price Map

Oct 2025

Interactive web application visualizing Luxembourg housing market data across communes from 2010-2024. Built an intuitive map-based interface allowing users to explore house and apartment prices by region, property type, and price percentiles. Implemented dynamic filtering controls and geographic visualization to help users understand real estate pricing trends across Luxembourg. The application provides a free, accessible tool for real estate research and market analysis with responsive design and optimized performance.

JavaScript
React
Data Visualization
Interactive Maps
Web Development
limmo: Luxembourg Housing Price Map - Image 1

Overview

limmo is an interactive web application that visualizes Luxembourg housing prices across all communes, providing an accessible and intuitive tool for exploring real estate market trends from 2010 to 2024.

Key Features

Interactive Map Visualization

  • Geographic representation of all Luxembourg communes
  • Color-coded pricing indicators for easy visual interpretation
  • Responsive SVG-based map for smooth interactions
  • Hover effects and tooltips for detailed information

Advanced Filtering System

  • Property Type Selection: Filter between houses and apartments
  • Price Percentiles: View different price ranges (25th, 50th, 75th percentiles)
  • Temporal Analysis: Explore pricing trends across years (2010-2024)
  • Real-time map updates based on filter selections

Data Coverage

  • Comprehensive commune-level housing data
  • Both house and apartment price statistics
  • Multi-year historical data for trend analysis
  • Regular updates to reflect current market conditions

Technical Implementation

Frontend Architecture

  • Modern JavaScript framework with modular design
  • SVG-based map rendering for crisp visuals at any scale
  • Efficient data loading and caching strategies
  • Mobile-responsive layout for all device sizes

Performance Optimization

  • Lazy loading of map data
  • Optimized asset delivery with CDN
  • Minimal bundle size for fast page loads
  • Smooth animations and transitions

User Experience

  • Intuitive controls requiring no technical knowledge
  • Clean, modern interface with Quicksand font family
  • Accessible design following web standards
  • SEO-optimized for discoverability

Use Cases

For Home Buyers:

  • Research neighborhoods and communes
  • Compare prices across regions
  • Understand long-term pricing trends
  • Identify affordable areas

For Real Estate Professionals:

  • Market analysis and research
  • Client consultations and presentations
  • Investment opportunity identification
  • Historical trend analysis

For Researchers and Analysts:

  • Geographic pricing patterns
  • Temporal market dynamics
  • Comparative commune analysis
  • Data-driven insights

Technical Stack

  • Frontend Framework: React with modern JavaScript
  • Map Visualization: Custom SVG rendering
  • Data Processing: Client-side data transformation
  • Styling: Custom CSS with responsive design
  • Fonts: Google Fonts (Quicksand)
  • Deployment: Static hosting with Vercel

Impact

Accessibility: Free tool available to anyone interested in Luxembourg real estate

Data Transparency: Makes housing market data accessible and understandable

User-Friendly: No technical expertise required to explore complex housing data

Comprehensive: Covers entire Luxembourg with 15 years of historical data

Future Enhancements

  • Additional price metrics (mean, min, max prices)
  • Price change indicators and trend arrows
  • Comparison mode for multiple communes
  • Export functionality for data analysis
  • API for programmatic access to housing data
  • Mobile app version for iOS and Android
AB

Alper Bayram

PhD in Engineering | Data Science, Business Intelligence & Analytics