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Public Health Laboratory Salary Comparison Dashboard

Explore the Salary Comparison Dashboard to compare compensation data across regions, staffing levels and more. With interactive tables and maps, the dashboard provides essential benchmarking data for leaders to advocate for equitable and competitive salaries, directly impacting laboratories' ability to recruit and retain essential personnel.

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Contact the Quality Systems and Analytics team: [email protected]

WORKFORCE PROFILE DATA

About the Data

The dashboard below compares salary data gathered via our 2022 and 2024 Workforce Profiles Surveys, which included responses from laboratorians across APHL’s membership.

  • ASCP Wage Comparisons: The hourly rate for ASCP wage data is based on a 40-hour workweek.
  • Please note that the latest ASCP data has not yet been released. Until the new data is available, the dashboard reflects older ASCP figures, which may result in outdated comparisons. Once the new data is released, it will be incorporated into the dashboard for a more accurate comparison.
  • The dashboard only includes public health laboratory employee salaries, excluding other compensation like overtime, hazard pay or benefits.
  • Positions categorized under 'Administration' and 'Other' are excluded from the statistical analysis due to their diverse roles, and there are no MLP or ASCP studies for comparability with admin roles.
EXPLORE TRENDS

Salary Comparison Dashboard

Key features of the Public Health Laboratory Salary Comparison Dashboard include:

  • Interactive Navigation: Toggle between 2022 and 2024 data and use interactive tables and maps to explore salary data across different categories.
  • Benchmark Salaries by Region: View salary distributions based on HHS regions and APHL Regional Consortia for regional benchmarking.
  • Comprehensive Salary Comparisons: Compare public health laboratory salary data with external benchmarks like ASCP (American Society for Clinical Pathology) and MLO (Medical Laboratory Observer) data to get a broad view of compensation trends.
  • Statistical Overview: Analyze salary distributions with descriptive statistics (mean, median, minimum and maximum), enabling you to make data-driven decisions.