Key Takeaways
- In 2022, the U.S. Thoroughbred industry contributed $5.8 billion to the national GDP through direct, indirect, and induced effects
- The Thoroughbred racing sector generated $1.2 billion in taxes for federal, state, and local governments in 2022 across the U.S.
- In 2023, Thoroughbred racing supported 256,000 jobs nationwide in the U.S., with wages totaling $4.9 billion
- In 2023, the number of Thoroughbred races run in North America totaled 32,847, down 2% from 2022
- Average field size for U.S. Thoroughbred races in 2023 was 7.2 horses, the lowest since records began in 1990
- Handle per race day in U.S. Thoroughbred racing hit $4.8 million in 2023, up 6% from prior year
- North American Thoroughbred foal crop in 2023 was 15,237 registered foals, down 8.3% from 2022 peak
- Keeneland September Yearling Sale 2023 grossed $406.3 million for 2,728 Thoroughbreds sold, average $148,742
- Fasig-Tipton November Breeding Stock Sale 2023 sold 847 Thoroughbreds for $115.2 million, RNA 22%
- Thoroughbred industry employed 1.74 million people in the U.S. in 2022 across racing, breeding, and related sectors
- Kentucky Thoroughbred sector supported 58,500 direct jobs in 2023, with average wage $45,200 annually
- U.S. racetrack employment totaled 26,000 full-time equivalents in 2023, including backstretch workers
- U.S. Thoroughbred fatality rate in racing was 1.66 per 1,000 starts in 2022, per Jockey Club data
- In 2023, 92% of U.S. Thoroughbred racetracks implemented HISA safety protocols reducing injuries by 15%
- Average Thoroughbred racehorse career length was 22 starts over 3.2 years in 2023 U.S. data
In 2026, the global Thoroughbred industry continues to deliver substantial economic value and helps sustain hundreds of thousands of jobs across racing, breeding, training, and related services.
Breeding and Sales
Breeding and Sales Interpretation
Economic Impact
Economic Impact Interpretation
Employment and Jobs
Employment and Jobs Interpretation
Horse Welfare and Safety
Horse Welfare and Safety Interpretation
Racing Performance
Racing Performance 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.
Sophie Moreland. (2026, February 13). Thoroughbred Industry Statistics. Gitnux. https://gitnux.org/thoroughbred-industry-statistics
Sophie Moreland. "Thoroughbred Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/thoroughbred-industry-statistics.
Sophie Moreland. 2026. "Thoroughbred Industry Statistics." Gitnux. https://gitnux.org/thoroughbred-industry-statistics.
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