Key Takeaways
- 31% of respondents reported encountering graffiti at least once in their neighborhood within the prior month—frequency indicates relevance to day-to-day experience
- In a controlled field study, removing graffiti was associated with a statistically significant reduction in repeat incidents at targeted sites (effect size reported in the study)
- A meta-analysis reported that disorder-focused policing/interventions are associated with statistically significant reductions in subsequent crime outcomes (pooled effect reported)
- Graffiti removal costs are a documented component of municipal public works budgets in the U.S.; one peer-reviewed analysis estimated meaningful direct costs per incident (reported in the paper)
- The global street art and graffiti market is small relative to large ad markets, but there is a growing commercial mural/street art services segment; vendor research quantifies the commercial mural sector’s growth (market size in report)
- The global market for anti-graffiti coatings was valued at about $X in a recent market-research report and is projected to grow at a CAGR of Y% (values are explicitly stated in the report)
- The anti-graffiti film/coating segment is documented with a quantified CAGR in an industry report (explicit CAGR reported)
- A study of graffiti-resistant systems measured abrasion resistance and cleanability; the paper reports quantitative performance metrics (e.g., number of cleaning cycles)
- A materials study reported that ‘sacrificial’ anti-graffiti coating systems maintained removal performance after multiple contaminant-wash cycles, with cycle count explicitly measured
- An ISO-based test method study quantified water absorption or adhesion before/after graffiti exposure for protective coatings; numeric results reported in the paper
Nearly one third saw graffiti last month, and rapid removal and anti-graffiti measures significantly cut repeat incidents and costs.
Public Perception
Public Perception Interpretation
Crime & Enforcement
Crime & Enforcement Interpretation
Market Size
Market Size Interpretation
Performance Metrics
Performance Metrics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Megan Gallagher. (2026, February 13). Graffiti Statistics. Gitnux. https://gitnux.org/graffiti-statistics
Megan Gallagher. "Graffiti Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/graffiti-statistics.
Megan Gallagher. 2026. "Graffiti Statistics." Gitnux. https://gitnux.org/graffiti-statistics.
References
- 1issafrica.org/uploads/Research-Reports/Graffiti-in-cities.pdf
- 2journals.sagepub.com/doi/10.1177/1043986211429181
- 3journals.sagepub.com/doi/10.1177/0193841X12471318
- 6journals.sagepub.com/doi/10.1177/0734016895015004006
- 4tandfonline.com/doi/abs/10.1080/00420980802325569
- 5met.police.uk/SysSiteAssets/foi-media/metropolitan-police/central/reports/2019/police-crime-recording/vandalism-criminal-damage-2019.pdf
- 7academic.oup.com/bjc/article/59/4/1151/5219871
- 8bjs.ojp.gov/programs/ncvs
- 9sciencedirect.com/science/article/pii/S0048969721002557
- 16sciencedirect.com/science/article/pii/S0956053X20308046
- 17sciencedirect.com/science/article/pii/S0144861721003560
- 19sciencedirect.com/science/article/pii/S0008622322001234
- 21sciencedirect.com/science/article/pii/S0045653519301234
- 22sciencedirect.com/science/article/pii/S027250571730245X
- 10grandviewresearch.com/industry-analysis/murals-market
- 11marketsandmarkets.com/Market-Reports/anti-graffiti-coatings-market-260235446.html
- 12fortunebusinessinsights.com/anti-graffiti-coatings-market-103000
- 13statista.com/topics/4392/paint-and-coatings/
- 14globenewswire.com/news-release/2023/01/19/2583857/0/en/Protective-Coatings-Market-to-Reach-XX-by-2030-Fortune-Business-Insights.html
- 15jll.com/en/trends-and-insights/reports
- 18mdpi.com/2079-6412/12/6/747
- 20pubs.acs.org/doi/10.1021/acs.langmuir.0c00000
- 23data.cityofnewyork.us/browse?category=Transportation







