TIDYMAP

Data & Methodology

TidyMap measures one thing: the street environment. This page explains how we score it, where the data comes from, and what the score does not tell you.

What we measure

Four aspects of each street grid: Cleanliness (litter, clutter, road surface), Buildings (façade condition and upkeep), Sidewalks (continuity, walkability, obstructions) and Greenery (street trees and planting). Each is scored 0–10; the overall score is their average.

Data source

Google Street View photos, one every 50 m along each street. The site stores and republishes no Street View imagery; Street View on the page is embedded live from Google.

Grids

Photos are grouped into street grids of roughly 100 × 100 m, typically 4–12 photos per grid. Grids with too few photos are marked “not enough data” and left unscored.

AI scoring

Each photo is rated independently on the four aspects by the Claude vision model, which also writes a short observation. Photo scores are then aggregated per grid. The rubric version and model are listed under each grid's “More details”.

Updates

Street View capture dates are set by Google and shown on each grid. Scoring was completed in August 2026 and is re-run in batches as coverage expands and the rubric is updated.

Limitations: what the score does not mean

A TidyMap score is one reference point when renting or buying — not the whole picture. It does not measure:

AI makes mistakes: shadows, construction and temporarily parked vehicles can all skew a rating. Every grid has a “report a problem” button; reports are reviewed by a person.

Terms of use

Content on tidymap.app (including map data endpoints) is for personal, non-commercial browsing. Any commercial use — including scraping, republishing or internal analysis — requires a licence via Commercial Data. This site uses Google Analytics and Cloudflare Analytics.

Contact

For data questions, partnerships or commercial needs, use the form on the Commercial Data page.