CleanStat Street Cleanliness Index
This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.
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Crews drive some 22,000 miles a quarter grading every block for litter and dumping. They work for the department that does the cleaning, and nobody has ever checked the grades.
what does this mean?
The strongest source is the operator's or the city's own reporting — an official report, dataset or press release. It grades who did the looking — not how well the project went. All four grades →Part of 1001 Smart Cities — 1,167 documented projects · 🏙️ 12 more in Los Angeles · 🗑️ Waste & recycling guide · 🏛️ Governance projects
LA Sanitation crews have driven every city street and alley since April 2016, scoring each block 1 to 3 for litter, weeds, bulky items and illegal dumping — about 22,000 miles a quarter — and publishing the result as open map layers by street segment and by operational grid. Scoring continues, but public publication thinned to roughly one dataset a year after 2018.
📊 Impact
In the last quarter of 2016 the city rated 87% of street segments clean and 1% unclean, and said CleanStat's first year had cut level-3 (unclean) streets by 82% and level-2 streets by 84%. These are the city's own figures from its own survey, published nine months after launch; no audit has tested them.
🎓 Lesson
A driven survey scores every block whether or not anyone complains, which a complaint line cannot do. But the crews who grade the streets work for the department that cleans them, and nobody has ever checked the grades: while CleanStat reported streets getting cleaner, the City Controller found illegal-dumping reports up 300% between 2017 and 2020.
Sources
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📎 Cite this project
1001 Smart Cities (2026). “CleanStat Street Cleanliness Index” — Los Angeles, United States. The Smart City Atlas. https://1001smartcities.org/projects/la-cleanstat/ (last verified 2026-07-26). Data: CC BY 4.0.
The underlying data is free to reuse with attribution — see the open data page.
