This page contains current and historical data related to ERAS® applicants and applications. It includes Preliminary Data, Specialty Specific Data, Program Signal Data, and Cross Specialty Applicant Data.
Preliminary Data
Preliminary Data for the current ERAS season is collected between August - April (excluding March) for Fellowship and October - April (excluding March) for Residency.
- Residency (Excel) — ERAS 2024 Cycle Applicant and Application Data
- Program Signal Data (Excel) – ERAS 2024 Cycle
- Review this update, Preliminary Program Signaling Data and Their Influence on Residency Selection, for a deeper understanding of program signals and their impact.
- Exploring the Relationship Between Program Signaling and Interview Invitations Across Specialties (PDF with speaker notes).
- Geographic and Setting Preferences Data (Excel) - ERAS 2024 Cycle
- Review this update, Decoding Geographic and Setting Preferences in Residency Selection, to see findings from geographic preferences during the 2024 ERAS application season.
- Experiences (Excel) — ERAS 2024 Cycle
- New ERAS Research Findings for the ERAS 2024-2025 Application Season webinar recording: Learn more about current research findings from the ERAS 2024 application and plans for the ERAS 2025 season including: Specialty participation and how to elect to utilize program signals.
- Residency Cross Specialty Applicant Data (Excel) — ERAS 2024 Cycle
- Program Signal Data (Excel) – ERAS 2024 Cycle
- Fellowship (Excel) — ERAS 2024 Cycle Applicant and Application Data
The Supplemental ERAS Application Data and Reports page provides the summary and analyses of the supplemental ERAS application, utilized for both ERAS 2022 and ERAS 2023. This data includes the advisor and applicant reaction surveys, program directors’ feedback, and an evaluation of the supplemental ERAS application sections (past experiences, geographic information, and program signals).
Historical Specialty Specific Data
Aggregated specialty specific data on the number of ERAS applicants and the average number of applications by applicant and by program. This data is broken down by USMG/IMG, School Type, Gender, Self Identification, and other identifiers.