Key Takeaways
- 12% of passenger-vehicle occupant fatalities in the U.S. in 2019 involved speeding as a contributing factor, per NHTSA’s “Traffic Safety Facts” compilation
- Australia’s 2019–2020 speeding prevalence estimates show speeding as a factor in about 20% of all fatal and serious injury crashes (state/federal reporting summary)
- In the EU, Speed limits compliance surveys show that a majority of respondents report exceeding limits in certain conditions, with 49% admitting at least sometimes driving faster than the limit (Eurobarometer)
- Value per fatality in NHTSA’s monetization framework is $10.0 million (2019$) in one cost study used for calculating behavior-related crash costs including speeding
- In Australia, Transport for NSW/road safety economic summaries monetize speeding-related costs; one published estimate for NSW places speeding-related harm at over A$1 billion annually (government road safety economic analysis)
- In the EU, the cost of road traffic injuries totals about €100–€150 billion annually, and speed is a major contributing factor used in policy cost models (EC impact assessment)
- 1 km/h increase in average speed is associated with about a 3% increase in road fatalities (peer-reviewed meta-analysis on speed and crash outcomes)
- A meta-analysis found a 1 mph increase in mean speed is associated with a 5% increase in fatal crash risk (synthesized in peer-reviewed literature on speed and safety outcomes)
- In a randomized/controlled evaluation of speed cameras, reported reductions were about 44% in injury collisions at camera sites in a prominent meta-analysis (peer-reviewed)
- 62% of passenger car fatalities in Great Britain (2019–2021) involved speed — from reported police data on road traffic casualties.
- 11% of all road fatalities in Sweden (2022) were associated with speeding — reported in Swedish road safety follow-up statistics.
- 1,487 speed-related collisions were recorded in Victoria (Australia) in 2022 — police-recorded road safety statistics for speeding as a contributing factor.
- 36% of drivers in the UK (2020) reported “driving faster than the speed limit” is common — from UK survey data compiled in a parliamentary briefing.
- 2.4x higher odds of crash involvement for drivers exceeding speed limits by more than 20 km/h (pooled results) — from a peer-reviewed case-control study in accident epidemiology.
- The global road safety market for speed enforcement and speed management technologies is projected to reach $7.3 billion by 2030 (forecast) — market research estimate by a reputable industry analyst.
Across studies and countries, speeding meaningfully drives fatalities, but enforcement and intelligent speed tools can substantially cut crashes.
Related reading
01 · Category
Public Safety Impact2 stats
Public Safety Impact Interpretation
02 · Category
Road Behavior1 stats
Road Behavior Interpretation
03 · Category
Economic Burden4 stats
Economic Burden Interpretation
04 · Category
Risk & Effectiveness12 stats
Risk & Effectiveness Interpretation
05 · Category
Fatalities & Injuries3 stats
Fatalities & Injuries Interpretation
More related reading
06 · Category
Behavior & Compliance2 stats
Behavior & Compliance Interpretation
07 · Category
Market & Technology3 stats
Market & Technology Interpretation
08 · Category
Cost Analysis3 stats
Cost Analysis Interpretation
09 · Category
Enforcement Outcomes2 stats
Enforcement Outcomes Interpretation
How speeding shows up (and what it’s linked to)
Speed is implicated in a substantial share of fatality outcomes and is also reflected in self-reported/observed speeding and increased crash risk.
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.
Lars Eriksen. (2026, February 13). Speeding Statistics. Gitnux. https://gitnux.org/speeding-statistics
Lars Eriksen. "Speeding Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/speeding-statistics.
Lars Eriksen. 2026. "Speeding Statistics." Gitnux. https://gitnux.org/speeding-statistics.
Sources & references
32 datasets cited across this report · attribution is report-level
+9 additional datasets cited (not shown individually)

