Key Takeaways
- Median wage for high school graduates without diploma $35,360 US 2023.
- High school diploma holders median wage $42,680 annually US.
- Some college no degree median salary $48,500 US 2023.
- California state median annual wage was $66,990 in May 2023.
- New York median wage reached $70,650 yearly May 2023 US.
- Washington DC area median salary $82,430 in May 2023.
- The median annual wage for workers in the information technology industry in the US was $104,420 as of May 2023.
- The average salary for finance and insurance sector employees in the US reached $82,150 median in May 2023.
- Healthcare and social assistance industry median annual wage stood at $42,340 in the US for May 2023.
- Median annual wage for software developers in US was $132,270 May 2023.
- Physicians and surgeons median pay $239,200 yearly US 2023 BLS.
- Dentists median salary $170,910 in US May 2023.
- The median annual wage for all occupations in the US increased by 4.6% from May 2022 to May 2023.
- US average hourly earnings rose 4.1% year-over-year in December 2023 per BLS.
- Real median household income in the US fell 2.3% to $74,580 in 2022 from 2021.
In 2023 the US median pay varied sharply by education, with advanced degrees and tech roles earning far more.
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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.
Aisha Okonkwo. (2026, February 13). Salary Statistics. Gitnux. https://gitnux.org/salary-statistics
Aisha Okonkwo. "Salary Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/salary-statistics.
Aisha Okonkwo. 2026. "Salary Statistics." Gitnux. https://gitnux.org/salary-statistics.
Sources & References
- Reference 1BLSbls.gov
bls.gov
- Reference 2ONSons.gov.uk
ons.gov.uk
- Reference 3CENSUScensus.gov
census.gov
- Reference 4FREDfred.stlouisfed.org
fred.stlouisfed.org
- Reference 5EQUILARequilar.com
equilar.com
- Reference 6EPIepi.org
epi.org
- Reference 7AHAaha.org
aha.org
- Reference 8PEWRESEARCHpewresearch.org
pewresearch.org
- Reference 9NACEWEBnaceweb.org
naceweb.org
- Reference 10FLEXJOBSflexjobs.com
flexjobs.com
- Reference 11STATISTAstatista.com
statista.com
- Reference 12WTWCOwtwco.com
wtwco.com
- Reference 13DESTATISdestatis.de
destatis.de
- Reference 14FSOfso.admin.ch
fso.admin.ch
- Reference 15ABSabs.gov.au
abs.gov.au
- Reference 16STATCANstatcan.gc.ca
statcan.gc.ca
- Reference 17PAYSCALEpayscale.com
payscale.com







