Key Takeaways
- 4.3% of deaths globally are attributable to asthma
- The prevalence of hay fever (allergic rhinitis) in the United States is about 10%
- Global allergic rhinitis prevalence is estimated at 10%–30% of the population
- In the U.S., asthma prevalence was 8.6% among adults in 2023
- In the U.S., 3.5 million people have asthma who are children
- Component-resolved diagnostics uptake is increasing in allergy clinics because it can improve specificity of allergen sensitization interpretation
- Global allergies market is expected to reach $40.9 billion in 2025
- The global allergy immunology therapeutics market is forecast to grow at a CAGR of 5.7% from 2023 to 2030
- The U.S. allergy testing market is projected to reach $1.8 billion by 2030
- Serum-specific IgE testing can detect sensitization to specific allergens within minutes to days, depending on lab workflow
- Nasal provocation testing is used to confirm allergic rhinitis triggers in clinical research protocols
- Fractional exhaled nitric oxide (FeNO) testing is used as a non-invasive marker of eosinophilic airway inflammation, aiding asthma management decisions
- Economic burden of allergic disorders is linked to comorbid asthma and chronic rhinitis, increasing total healthcare utilization
- Anaphylaxis incidence and emergency utilization drive direct medical costs in emergency care settings
- Globally, allergic rhinitis causes substantial indirect costs through lost productivity, with billions in annual economic burden reported in reviews
Asthma and allergic rhinitis affect millions worldwide, driving major health and economic burdens.
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Healthcare Utilization
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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.
Christopher Morgan. (2026, February 13). Allergy Statistics. Gitnux. https://gitnux.org/allergy-statistics
Christopher Morgan. "Allergy Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/allergy-statistics.
Christopher Morgan. 2026. "Allergy Statistics." Gitnux. https://gitnux.org/allergy-statistics.
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