Key Takeaways
- Flu vaccination coverage among healthcare personnel reached 83% in 2019-2020 US
- US adult flu vaccination rate 52.9% for 2022-2023 season, per NHIS survey
- Children 6m-17y flu vac coverage 57.9% in 2022-2023, CDC data
- In the 2022-2023 influenza season, the flu vaccine effectiveness against hospitalization was estimated at 46% overall for adults aged 18 years and older in the United States
- The 2021-2022 flu vaccine was 35% effective in preventing influenza-associated outpatient visits among children aged 6 months to 17 years, based on CDC surveillance data
- Flu vaccination reduced the risk of influenza-related hospitalization by 40% in pregnant women during the 2019-2020 season, per CDC analysis
- Flu vaccination prevented an estimated 7.5 million illnesses, 3.5 million medical visits, 100,000 hospitalizations, and 7,000 deaths in 2022-2023 US season
- From 2010-2020, flu vaccines prevented 13 million illnesses and 110,000 deaths in US
- Flu shots averted 4.4 million cases and saved $1.2 billion healthcare costs in 2019-2020 US
- Flu vac recommended annually for everyone 6 months and older by CDC ACIP
- High-dose or adjuvanted vaccines preferred for 65+ adults per 2022 ACIP
- Pregnant women should receive inactivated flu vaccine any trimester, WHO/ACIP
- Only 1.4% of people reported severe allergic reactions to flu shots from 2010-2020 VAERS data
- Guillain-Barré Syndrome risk after flu vaccine is about 1-2 additional cases per million doses, lower than flu illness risk
- No increased risk of miscarriage from flu vaccine in first trimester, per 2021 meta-analysis of 2 million pregnancies
Flu shots protect more people than ever, yet global coverage still lags far below targets.
Related reading
Coverage
Coverage Interpretation
Efficacy
Efficacy Interpretation
Public Health Impact
Public Health Impact Interpretation
Recommendations
Recommendations Interpretation
Safety
Safety 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.
Kevin O'Brien. (2026, February 13). Flu Shot Statistics. Gitnux. https://gitnux.org/flu-shot-statistics
Kevin O'Brien. "Flu Shot Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/flu-shot-statistics.
Kevin O'Brien. 2026. "Flu Shot Statistics." Gitnux. https://gitnux.org/flu-shot-statistics.
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