Key Takeaways
- In tax year 2021, the IRS received 153.6 million individual income tax returns, representing a 1.2% decrease from the previous year
- Adjusted Gross Income (AGI) reported on individual returns in TY 2021 totaled $11.9 trillion, up 15.3% from TY 2020
- The top 1% of AGI taxpayers in TY 2021 reported 22.4% of total AGI at $2.666 trillion
- In 2022, Form 1120 corporate returns numbered 2.9 million with total assets $47.7 trillion
- TY 2022 C corporation net income totaled $2.8 trillion on 2.1 million returns
- S corporation returns in TY 2022: 4.9 million, total receipts $6.2 trillion
- In FY 2022, IRS audits of individual returns totaled 660,000
- FY 2022 audit coverage rate for individual returns over $1 million income was 2.4%
- IRS collected $52.6 billion from audits in FY 2022
- In FY 2023, IRS issued 92 million refunds averaging $3,138 each
- FY 2023 taxpayer assistance centers visits: 2.2 million appointments
- VITA/TCE program in FY 2023 prepared 2.5 million returns for free
- As of FY 2023, IRS workforce totaled 93,000 employees
- FY 2023 IRS budget appropriation: $12.3 billion, up 10% from prior year
- IT modernization spending FY 2023: $2.8 billion for systems upgrades
IRS data shows rising incomes and tax collections with expanding enforcement efforts.
Business Tax Returns
Business Tax Returns Interpretation
Enforcement Statistics
Enforcement Statistics Interpretation
Individual Tax Returns
Individual Tax Returns Interpretation
Operations and Budget
Operations and Budget Interpretation
Taxpayer Services
Taxpayer Services 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.
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
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Marcus Afolabi. (2026, February 13). Internal Statistics. Gitnux. https://gitnux.org/internal-statistics
Marcus Afolabi. "Internal Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/internal-statistics.
Marcus Afolabi. 2026. "Internal Statistics." Gitnux. https://gitnux.org/internal-statistics.






