CommonApp and NACAC Public Datasets for Admissions Simulation
data_commonapp_nacac.md
CommonApp and NACAC Public Datasets for Admissions Simulation
CommonApp Annual Reports
End-of-Season Reports (Primary Publication)
CommonApp publishes annual "End-of-Season Reports" tracking first-year application trends across all ~1,100 member institutions. These are the most comprehensive publicly available aggregate datasets on college applications.
URLs:
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2024-25 End-of-Season Report: https://www.commonapp.org/files/DAR/deadline-updates/Common-App-End-of-Season-Report_24-25.pdf
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2023-24 End-of-Season Report: https://www.commonapp.org/files/FY_application_trends_end_season_report_23-24.pdf
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Reports hub: https://www.commonapp.org/about/reports-and-insights/
Years available: 2014-15 through 2024-25 (10 seasons of trend data)
Variables covered:
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Total unique applicants (1,497,000+ in 2024-25; 1,425,083 in 2023-24)
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Total applications submitted (10,193,579 in 2024-25; 9,447,544 in 2023-24)
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Applications per applicant (6.80 in 2024-25; 6.64 in 2023-24; 4.63 in 2013-14)
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Number of member institutions (1,097 in 2024-25; 1,074 in 2023-24)
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Breakdowns by sex/gender (female 821,682 / male 675,519 / X 998 in 2024-25)
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Breakdowns by race/ethnicity (White 45.7%, Black 14%, Latino/Hispanic growing 15% YoY)
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First-generation status (7% growth YoY; doubled since 2014-15)
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Fee waiver eligibility as income proxy (9% growth vs 2% for non-fee-waiver)
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Below-median vs above-median income ZIP code (8% vs lower growth)
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Geographic distribution by state (top 15 states listed)
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International vs domestic applicant trends
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Test score reporting rates (majority now not reporting)
Granularity: Aggregate across all CommonApp members. NOT broken down by individual college. Breakdowns by demographics, geography, institution type (public/private, selectivity band).
Deadline Update Reports (Intra-Season Snapshots)
Published at November 1, December 1, January 1, and March 1 deadlines during each cycle.
URLs (2024-25 cycle examples):
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November 1: https://www.commonapp.org/files/Common-App-Deadline-Updates-2024.11.01.pdf
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December 1: https://www.commonapp.org/files/Common-App-Deadline-Updates-2024.12.01.pdf
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March 1: https://www.commonapp.org/files/DAR/deadline-updates/Common-App-Deadline-Updates-2025-03-13.pdf
Variables: Same as end-of-season but cumulative through each deadline date; useful for tracking ED/EA vs RD volume splits.
State-Level Reports
CommonApp publishes state-specific application data at https://www.commonapp.org/statereports/
Variables: Application volumes, growth rates, demographic breakdowns at the state level. Available for all 50 states.
CommonApp Research Publications
Research Briefs (Topical Deep-Dives)
CommonApp publishes focused research briefs on specific topics using their de-identified platform data.
Key publications:
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Applications Per Applicant (December 2022)
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URL: https://www.commonapp.org/files/Common-App-Brief-First-Year-Applications-Per-Applicant.pdf
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Data: Historical trend in apps/applicant by demographics, school type, selectivity
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Key finding: Average increased from 4.63 (2013-14) to 6.80 (2024-25)
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Early Admission Deadlines: Student Trends and Implications (July 2023)
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URL: https://www.commonapp.org/files/common-app-report-early-admission-student-trends.pdf
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Data: ED/EA application patterns by demographics and community advantage
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Key finding: ED/EA applicants skew toward more advantaged communities (higher income, higher parental education)
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Application Trends Following End of Race-Conscious Admissions (June 2024)
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URL: https://www.commonapp.org/files/Common-App-Race-Ethnicity-SCOTUS-2024.pdf
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Data: 5-year trends in race/ethnicity self-reporting and application behavior pre/post SFFA v. Harvard
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Key finding: No meaningful deviation in racial/ethnic self-identification or application behavior in first post-SCOTUS cycle
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First-Generation Status in Context (2023-24)
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URL: https://www.commonapp.org/files/23-24_Common-App-Brief-First-Generation-Part-2.pdf
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Data: 30 combinations of parental education mapped to enrollment/completion outcomes
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Key finding: Students with at least one indicator of low-income + first-gen status = 21-26% of domestic applicants
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Highlighting Independent Students (April 2025)
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URL: https://www.commonapp.org/files/DAR/Common-App-Highlighting-Independent-Students.pdf
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Data: Transfer applicant behaviors, prior coursework, proximity effects
Research Collaboration Program (Restricted Access)
CommonApp maintains a de-identified research dataset available to qualified researchers through a formal proposal process.
Call for proposals:
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2025-26: https://www.commonapp.org/files/DAR/Common-App-Call-for-Proposals_2025-26.pdf
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2024-25: https://www.commonapp.org/files/Common-App-Call-for-Proposals.pdf
Dataset scope:
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~1.3 million domestic students per year
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18+ million course-taking records
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Full de-identification (students, recommenders, institutions, high schools)
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Data dictionary available to approved researchers
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Results must be published within 2 years
Access: Requires PI with published social science research track record. NOT publicly downloadable.
NACAC Datasets
State of College Admission Report
The flagship NACAC publication, published annually since ~2004. Redesigned in 2023 as an interactive online dashboard.
URL: https://www.nacacnet.org/state-of-college-admission-report/
Report structure (4 chapters):
- College Applications (volumes, acceptance rates, enrollment)
- Recruitment and Yield Strategies
- Factors in Admission Decisions
- Secondary School Counseling
Most recent full PDF report: 2019 edition
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Full report: https://nacacnet.org/wp-content/uploads/2022/10/soca2019_all.pdf
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Chapter 1: https://nacacnet.org/wp-content/uploads/2022/10/soca2019_ch1.pdf
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Chapter 3: https://nacacnet.org/wp-content/uploads/2022/10/soca2019_ch3.pdf
Survey methodology: Two annual surveys:
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Admission Trends Survey: 447 responses from U.S. four-year colleges (2019); 185 NACAC member institutions (2023)
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Counseling Trends Survey: 2,345 responses from secondary school counselors (2019)
Interactive Dashboard Topics (2023 Redesign)
Published as separate online modules (NACAC membership may be required for full access):
- School Counseling: Caseloads and Responsibilities (June 2023)
- Factors in the Admission Decision (August 2023)
- Selectivity: Acceptance Rates at 4-Year Colleges (December 2023)
- Trends in Yield Rates at Four-Year Colleges (December 2023)
- Student Recruitment Strategies (upcoming)
- Early Decision/Action and Wait Lists (upcoming)
Downloadable fact sheets:
- Selectivity fact sheet: https://resources.finalsite.net/images/v1707778171/shorelineschoolsorg/rpfpqaebbs7apoi7wp5z/2022SelectivityFactSheetNACAC.pdf
NACAC Factor Importance Data (Fall 2023 Admission Cycle)
From the NACAC College Admission Process Survey of 185 member institutions:
| Factor | Considerable | Moderate | Combined |
|---|---|---|---|
| Grades in All Courses | 74.1% | 18.9% | 93.0% |
| Grades in College Prep Courses | 76.8% | 15.1% | 91.9% |
| Strength of Curriculum | 63.8% | 22.7% | 86.5% |
| Positive Character Attributes | 28.3% | 37.5% | 65.8% |
| Essays/Writing Samples | 18.9% | 37.3% | 56.2% |
| Counselor Recommendation | 11.9% | 40.0% | 51.9% |
| Teacher Recommendation | 10.8% | 40.5% | 51.3% |
| Extracurricular Activities | 6.5% | 44.3% | 50.8% |
| Student's Demonstrated Interest | 15.7% | 27.6% | 43.3% |
| Work Experience | 2.2% | 30.8% | 33.0% |
| SAT/ACT Scores | 4.9% | 25.4% | 30.3% |
| Class Rank | 5.5% | 22.4% | 27.9% |
| AP/IB Exam Scores | 1.1% | 22.2% | 23.3% |
| Portfolio | 4.9% | 10.8% | 15.7% |
| Interview | 4.3% | 8.6% | 12.9% |
| State Graduation Exam Scores | 1.6% | 6.5% | 8.1% |
Source: NACAC College Admission Process Survey, Fall 2023 cycle (n=185 institutions) Full survey report: https://www.nacacnet.org/wp-content/uploads/NACAC-College-Admission-Process-Research_FINAL.pdf
Selectivity Data
NACAC reports average acceptance rates by institution type (2022-23 cycle):
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Overall four-year not-for-profit: 73%
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Public colleges: 78%
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Private colleges: 70%
Early Decision/Action Data (from NACAC surveys)
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2024-25 cycle: EA applications up 17%, ED applications up 4% year-over-year
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Highly selective schools with restored test requirements saw declines (Brown: -1,200 ED apps; Yale: -14% SCEA)
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Schools like Middlebury fill 60% of class through ED; Grinnell 67%
Additional NACAC Research
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Character and the College Admission Process research brief: https://files.eric.ed.gov/fulltext/ED608316.pdf
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Predictive Validity Studies (2016): https://nacacnet.org/wp-content/uploads/2022/10/testvalidity.pdf
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Historical reports on ERIC: https://eric.ed.gov/?q=source:%22National+Association+for+College+Admission+Counseling%22
Data Gaps
What CommonApp Does NOT Publish Publicly
- Institution-level data -- No public breakdown of applications, admits, or enrolls by individual college. All data is aggregate across member institutions or by institution-type bands (selectivity, public/private, size).
- High school-to-college linkage -- No public data connecting specific high schools to specific colleges. The research collaboration dataset is de-identified for high schools.
- Acceptance rates by institution -- CommonApp does not publish per-college acceptance rates. Must be sourced from individual college Common Data Sets or IPEDS.
- Hook-level data -- No public data on legacy, donor, athlete, or recruited status admission rates. This data exists within colleges but is not in CommonApp's platform.
- Yield rates -- CommonApp tracks applications but not enrollment decisions (those happen outside the platform).
- Financial aid impact -- No data on aid packages or their influence on enrollment decisions.
What NACAC Does NOT Publish Publicly
- Raw survey microdata -- Only aggregate percentages from their surveys are published; no institution-level responses.
- Longitudinal institution-level panels -- The dashboard provides aggregate trends, not trackable institution data over time.
- Student-level data -- NACAC surveys institutions and counselors, not students directly.
- Complete historical data series -- The 2023 redesign from PDF to dashboard makes historical comparison harder; the 2019 PDF was the last comprehensive static report.
Critical Missing Datasets for Simulation
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ED/EA acceptance rate differentials by selectivity tier -- Must be sourced from individual college CDS or press releases, not available in aggregate from CommonApp or NACAC
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Hook multipliers (legacy, athlete, donor) -- Only available from lawsuit discovery (Harvard/UNC) or individual college disclosures
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High school feeder patterns -- Not publicly available from either source; must be constructed from high school profile data (Naviance, school counselor reports)
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Student decision models (where students enroll given multiple acceptances) -- Not captured by CommonApp (only applications); NACAC yield data is aggregate only
Most Useful for Simulation Calibration
Tier 1: Directly Calibrate Simulation Parameters
| Data Point | Source | Simulation Use |
|---|---|---|
| Applications per applicant (6.80 avg) | CommonApp End-of-Season | Calibrate student application list length |
| Apps/applicant by demographics | CommonApp research brief | Vary list length by student type |
| Factor importance weights (16 factors) | NACAC 2023 survey table | Calibrate admission scoring formula weights |
| Test score reporting rates (<50%) | CommonApp deadline reports | Model test-optional behavior |
| ED/EA demographic skew | CommonApp early admission brief | Model who applies ED vs EA vs RD |
| Average acceptance rate by institution type | NACAC selectivity dashboard | Validate overall accept rates |
| Growth rates by race/ethnicity | CommonApp End-of-Season | Calibrate demographic distribution of applicants |
Tier 2: Validate Simulation Outputs
| Data Point | Source | Simulation Use |
|---|---|---|
| First-gen proportion (21-26% of applicants) | CommonApp first-gen brief | Validate student population composition |
| Fee waiver growth (196% since 2014-15) | CommonApp End-of-Season | Track low-income access trends |
| State-level application volumes | CommonApp state reports | Geographic distribution validation |
| Yield rate trends | NACAC yield dashboard | Validate enrollment outcomes |
| Post-SCOTUS race/ethnicity trends | CommonApp SCOTUS brief | Validate demographic shift modeling |
Tier 3: Inform Model Design Decisions
| Data Point | Source | Simulation Use |
|---|---|---|
| ED fills 50-67% of class at selective schools | News reports / college disclosures | Set ED class-fill percentages |
| EA up 17%, ED up 4% (2024-25) | NACAC / news reports | Early round volume calibration |
| Essays = 56% considerable+moderate importance | NACAC factor table | Justify essay component in scoring |
| Extracurriculars = 50.8% combined importance | NACAC factor table | Justify EC component in scoring |
| SAT/ACT = 30.3% combined importance (post-COVID) | NACAC factor table | Reduce test weight in scoring model |
Key Takeaway for the Simulation
The most actionable publicly available data for calibrating the college-sim engine:
- NACAC 16-factor importance table -- directly maps to the simulation's scoring formula (GPA/curriculum weight >> essays/character > EC/recommendations >> test scores in the post-COVID era)
- CommonApp applications-per-applicant data (6.80 mean, by demographics) -- calibrates how many schools each student agent applies to
- CommonApp ED/EA demographic analysis -- calibrates which student types use which admission rounds
- CommonApp demographic growth trends -- calibrates the population generator's race/ethnicity and SES distributions
- Individual college CDS data (see separate research docs) remains essential for per-institution acceptance rates, yield, and SAT/GPA ranges -- CommonApp and NACAC do not provide this level of granularity