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Home Research Research Library Early-Career Compensation Trends Among Family Physicians. Early-Career Compensation Trends Among Family Physicians. 2023 Author(s) Sanders, Kaplan, Phillips, Julie P, Fleischer, Sarah E, and Peterson, Lars E Keyword(s) Visiting Scholar/Fellow Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine PURPOSE: Family medicine incomes are often cited as a key reason for shortages of family physicians. The purpose of this study was to identify family physician income trends and to test how income varies among early-career family physicians. METHODS: We used data from the 2016 to 2020 American Board of Family Medicine National Graduate Survey (NGS) collected from early-career family physicians (n = 9566; response rate = 63.9%). The NGS asked practice income, practice activities, practice site, and setting. We performed an income trend analysis and conducted multivariate regression to test for associations of personal and workplace characteristics with income. RESULTS: Average income across the full sample of early-career family physicians (after inflation adjustments) was $224,292. Overall, income growth outpaced inflation from 2016 to 2020. There are significant differences in income based on personal and work characteristics, and income growth varied dramatically. Notably, women respondents reported earnings of $33,522 below those of men respondents in adjusted models. In addition, the incomes of several groups lagged behind inflation, including those practicing geriatrics (-0.67%), employed by the Indian Health Service (-1.72%), and respondents who identified as Black or African American (-0.85%). Greatest increases in inflation-adjusted incomes were observed among those in palliative care (4.61%) and at nonfederal government clinics (4.46%). CONCLUSIONS: Though income is only one factor physicians consider in deciding where and how to work, it is concerning to see lower incomes among groups that traditionally experience shortages (eg, geriatrics and government-associated practice sites). Differences in expected income among family physicians choosing different work may exacerbate workforce challenges. ABFM Research Read all 2025 Reclaiming Medical Professionalism In An Era Of Corporate Healthcare Go to Reclaiming Medical Professionalism In An Era Of Corporate Healthcare 2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence 2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone
Author(s) Sanders, Kaplan, Phillips, Julie P, Fleischer, Sarah E, and Peterson, Lars E Keyword(s) Visiting Scholar/Fellow Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 2025 Reclaiming Medical Professionalism In An Era Of Corporate Healthcare Go to Reclaiming Medical Professionalism In An Era Of Corporate Healthcare 2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence 2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone
2025 Reclaiming Medical Professionalism In An Era Of Corporate Healthcare Go to Reclaiming Medical Professionalism In An Era Of Corporate Healthcare
2025 Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence Go to Leveraging Large Language Models to Advance Certification, Physician Learning, and Diagnostic Excellence
2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality
2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone