Strado – Neighborhood Livability Scores from OpenStreetMap

I’ve been working on Strado, a free tool that scores every neighborhood across 50 European cities using data from OpenStreetMap. I wanted to share the project with the OSM community since it’s built entirely on your work.

What it does

Strado analyzes 22 categories of POIs from OSM – restaurants, healthcare, transit stops, parks, schools, nightlife, grocery stores, and more – and computes livability scores at the street level using an H3 hexagonal grid (resolution 9, ~174m edges).

The idea is simple: if you’re moving to a new city, you should be able to compare neighborhoods by what’s actually within walking distance. Not opinions, not sponsored listings – just data.

How it works

1. I imported the full Europe PBF into PostgreSQL/PostGIS using osm2pgsql with a custom flex style
2. POIs are extracted across 22 categories based on OSM tags (amenity, shop, leisure, healthcare, etc.)
3. Each H3 hex cell gets a count of nearby POIs with k=1 neighbor expansion
4. Livability scores are computed from essential categories (grocery, healthcare, transit, parks, education, safety)
5. Activity scores come from lifestyle categories (dining, nightlife, cafes, culture, shopping)
6. Everything is served as PMTiles vector tiles from Cloudflare R2 – no backend server needed

The scoring engine runs client-side in the browser using MapLibre GL JS. The entire infrastructure costs $0/month.

The data

• ~78 million POIs from OpenStreetMap
• 50 cities from London to Athens
• 22 scoring categories
• 20.5 million hex cells scored

Try it

• Interactive map – click any hexagon to see the score breakdown
• City pages – browse all 50 cities with neighborhood rankings
• Rome example – top neighborhoods, category breakdown, FAQ

All data is attributed to OpenStreetMap contributors under ODbL. Every page includes the attribution.

What I learned about OSM data quality

The coverage varies significantly across Europe. Western European cities (Paris, London, Berlin) have incredibly detailed mapping – you can score neighborhoods with high confidence. Eastern and Southern European cities are patchier, especially for healthcare facilities and transit stops. The Nordics have excellent cycling infrastructure data but fewer tagged restaurants.

Some categories work better than others with OSM data: - Excellent: dining, cafes, nightlife, shopping, parks - Good: healthcare, education, transit, grocery - Inconsistent: safety (police stations), financial (banks/ATMs), early education

I’d love to hear from mappers in cities where the data feels thin – what’s most worth mapping for tools like this?

Embeddable badges

I also created free embeddable SVG badges for all 50 cities. If you write about European cities or neighborhoods, you can embed a livability score badge on your site with a simple image tag.

Feedback welcome

This is a side project and I’m the only developer. If you notice data issues, missing categories, or have ideas for improvements, I’d appreciate hearing about it. The project is at strado.info.

Thanks to everyone who contributes to OpenStreetMap – none of this would be possible without your work.