From January through April 2026, the StraighterLine research team analyzed graduation data from all 50 U.S. states and the District of Columbia, drawing on reports from the National Center for Education Statistics (NCES), the Western Interstate Commission for Higher Education (WICHE), and individual state departments of education. The national high school graduation rate currently sits at 87%, meaning roughly 1 in 10 students does not finish high school within four years. That gap varies dramatically depending on where a student lives, what kind of school they attend, and factors both inside and outside the classroom.
The national rate rose from 80% in 2011-12 to 87.4% in 2022-23, a gain of 7.4 percentage points over a decade, with a brief COVID dip in 2020-21 that recovered fully by 2021-22. Applying that trend (+0.74 ppts per year), the 2025-26 national ACGR is estimated at approximately 88.1-88.5%, confirming that systemic improvement is achievable, though the pace of gain is slowing as the easiest structural gains have been captured.8
High School Graduation Rates by State (2024-26 Data)
The table below ranks all 50 states and the District of Columbia by their most recently reported adjusted cohort graduation rate (ACGR) or state equivalent. The ACGR measures the percentage of 9th-grade students who earn a standard diploma within four years. Data reflects 2023-24 academic year reports from state departments of education, aggregated by World Population Review (2026).14
| Rank | State | Grad Rate (%) | vs. Natl. Avg. | 2026 Rate Projection (Est.)* |
|---|---|---|---|---|
| — | United States (Avg.) | 89.6% | Baseline | ~88.1–88.5% (2026 est.) |
| 1 | Vermont | 94.9% | +5.3 | ~95.6% |
| 2 | Maine | 94.8% | +5.2 | ~95.5% |
| 3 | Montana | 94.6% | +5.0 | ~95.3% |
| 4 | New Hampshire | 94.4% | +4.8 | ~95.1% |
| 5 | Wyoming | 94.2% | +4.6 | ~94.9% |
| 6 | North Dakota | 94.0% | +4.4 | ~94.3% |
| 7 | Minnesota | 93.9% | +4.3 | ~94.2% |
| 8 | Alaska | 93.6% | +4.0 | ~94.3% |
| 9 | Wisconsin | 93.6% | +4.0 | ~93.9% |
| 10 | Utah | 93.4% | +3.8 | ~94.1% |
| 11 | Iowa | 93.3% | +3.7 | ~93.4% |
| 12 | Hawaii | 93.2% | +3.6 | ~93.5% |
| 13 | South Dakota | 93.2% | +3.6 | ~93.5% |
| 14 | Colorado | 92.9% | +3.3 | ~93.6% |
| 15 | District of Columbia | 92.7% | +3.1 | ~93.4% |
| 16 | Washington | 92.3% | +2.7 | ~93.0% |
| 17 | Nebraska | 92.2% | +2.6 | ~92.9% |
| 18 | Michigan | 92.1% | +2.5 | ~92.8% |
| 19 | Pennsylvania | 92.1% | +2.5 | ~92.8% |
| 20 | Kansas | 92.0% | +2.4 | ~92.7% |
| 21 | Idaho | 91.9% | +2.3 | ~92.0% |
| 22 | Missouri | 91.9% | +2.3 | ~92.2% |
| 23 | Ohio | 91.8% | +2.2 | ~92.5% |
| 24 | Oregon | 91.8% | +2.2 | ~92.5% |
| 25 | Delaware | 91.7% | +2.1 | ~91.8% |
| 26 | Virginia | 91.6% | +2.0 | ~92.3% |
| 27 | Connecticut | 91.5% | +1.9 | ~92.2% |
| 28 | Massachusetts | 91.4% | +1.8 | ~92.1% |
| 29 | Maryland | 91.1% | +1.5 | ~91.8% |
| 30 | New Jersey | 90.7% | +1.1 | ~91.4% |
| 31 | Illinois | 90.5% | +0.9 | ~91.2% |
| 32 | Indiana | 90.4% | +0.8 | ~91.1% |
| 33 | North Carolina | 90.1% | +0.5 | ~90.8% |
| 34 | South Carolina | 90.1% | +0.5 | ~90.8% |
| 35 | Tennessee | 90.0% | +0.4 | ~90.7% |
| 36 | Florida | 89.9% | +0.3 | ~90.2% |
| 37 | Rhode Island | 89.7% | +0.1 | ~90.0% |
| 38 | Arizona | 89.4% | -0.2 | ~89.7% |
| 39 | Oklahoma | 89.4% | -0.2 | ~89.7% |
| 40 | West Virginia | 89.3% | -0.3 | ~89.4% |
| 41 | Georgia | 89.2% | -0.4 | ~89.5% |
| 42 | Kentucky | 88.9% | -0.7 | ~89.0% |
| 43 | Arkansas | 88.7% | -0.9 | ~89.0% |
| 44 | Alabama | 88.6% | -1.0 | ~88.7% |
| 45 | New Mexico | 88.0% | -1.6 | ~88.3% |
| 46 | New York | 88.0% | -1.6 | ~88.3% |
| 47 | Nevada | 87.5% | -2.1 | ~87.8% |
| 48 | Louisiana | 87.3% | -2.3 | ~88.0% |
| 49 | Mississippi | 87.1% | -2.5 | ~87.8% |
| 50 | Texas | 86.0% | -3.6 | ~86.3% |
| 51 | California | 84.7% | -4.9 | ~85.4% |
*2026 Rate Projection: Editorial estimate derived by applying the decade-long national ACGR trend (+0.74 ppts/year, 2011-12 to 2022-23, NCES) to each state's most recent reported rate, adjusted for each state's 2018-19 to 2021-22 direction per NCES Table 219.46. NCES and WICHE do not publish per-state ACGR rate forecasts; these figures are directional estimates only, not official projections. Source: NCES Condition of Education 2024.
Key Takeaways:
● Vermont (94.9%) and Maine (94.8%) lead the country. Both are small, rural northeastern states with stable student populations and among the highest per-pupil support rates in their regions.
● California (84.7%) ranks last despite being the most populous state. It is also projected to lose approximately 138,000 high school graduates per year by 2045, compounding the rate challenge with a volume challenge.
● 36 of 51 jurisdictions sit at or above the 89.6% national average. The 10.2 percentage point spread between first and last place reflects structural differences in poverty, broadband access, and demographic composition, not just funding.
● High performance does not require high spending. Montana (94.6%, rank 3) and Wyoming (94.2%, rank 5) outperform many better-funded states, pointing to community stability and low concentrations of compounding risk factors as stronger predictors.
● The South is the only region where graduate volume is growing. Sun Belt population migration keeps volume rising in TX and FL, though both states carry persistent equity gaps in their statewide graduation rates.
● The 2026 national rate is estimated at approximately 88.1-88.5%. That projection is based on the decade-long ACGR trend of +0.74 ppts per year. Systemic improvement is real, but the pace is slowing as the easiest structural gains have been captured.
Graduation Rates by School Type
Approximately 10% of U.S. high school students attend private schools, and roughly 7% of public school students attend charter schools. School type is a meaningful but often-overlooked variable in the graduation rate conversation.
A direct cross-sector comparison does not exist in a single national dataset. NCES tracks ACGR data primarily for public schools. The table below synthesizes findings from multiple credible studies. Readers should note that private schools and selective charters often serve more resourced families, which contributes to their higher headline rates independent of instructional model.
| School Type | Est. Grad Rate | vs. Public Avg. | Notes |
|---|---|---|---|
| Private (Nonsectarian) | ~90–92% | +3–5 pts | Higher rates partly driven by selective admissions and more resourced families. Cross-sector comparisons carry selection bias.10 |
| Catholic / Parochial | ~90–93% | +3–6 pts | Catholic students are approximately twice as likely to graduate college vs. public peers. Higher headline rate reflects both school model and family demographics.11 |
| Charter (Public) | ~87–94% | +7–11 pts above local public | A 7–11 ppt advantage over local public schools in the same area, per Mathematica (2015). Performance varies widely by network. Higher charter enrollment linked to systemwide gains.12 |
| Traditional Public | ~87–90% | Baseline | Serves approximately 90% of all U.S. high school students. Wide variation by district, state, and demographics.6 |
| Montessori | Comparable to traditional peers | ~0 pts (secondary) | Equivalent secondary completion rates vs. traditional peers. Documented advantages appear in math/science scores and executive function outcomes, not in the graduation rate metric.13 |
Sources: [10] NCES Private School Universe Survey 2021-22; [11] publicpurpose.com citing NCES; [12] Mathematica Policy Research (2015) via PublicSchoolReview.com; [13] Dohrmann et al. (2007); Ruijs via US News (2018); [6] NCES Condition of Education 2024.
Key Takeaways
- No school type comparison is apples-to-apples. Private, Catholic, and selective charter schools often enroll more motivated and more resourced students. Higher headline rates reflect both instructional model and student intake.
- Charter schools show the widest performance range. The 7-11 ppt advantage over local public schools (Mathematica, 2015) is a network median. Top-performing networks far exceed it; lower-performing networks do not.
- Catholic and private nonsectarian schools consistently outperform the public average. Both sit 3-6 points above the national ACGR. Catholic students are approximately twice as likely to complete a college degree as their public school peers.
- Montessori does not produce higher graduation rates at the secondary level. Completion rates are equivalent to traditional peers. The documented Montessori edge is in math/science achievement and executive function outcomes.
Negative Factors That Impact Graduation Rates
State-level averages describe outcomes. This section explains causes. The table below quantifies the estimated impact of the most well-researched positive and negative factors, organized by student/family-level and school/institutional-level drivers.
| Factor | Impact Metric | Estimated Impact on Graduation Rate |
|---|---|---|
| NEGATIVE FACTORS: STUDENT AND FAMILY | ||
| Chronic absenteeism (missing 10%+ of school days) | −18 ppts on grad probability | -18 ppt reduction in 4-year graduation probability. Threshold: missing 18+ days per year.1 |
| Family poverty | −5 to −10 ppts on school attendance rate | 4x higher chronic absence risk. High free/reduced lunch schools show attendance 5-10 ppts below average.2 |
| High-conflict home environment | ~+10 ppts on dropout probability | 50-75% higher dropout probability. Compounds absenteeism, disengagement, and academic risk.3 |
| 9th grade off-track status (failing a core course) | −35 to −45 ppts on graduation probability | Strongest early predictor of dropout. Triggers cascading credit, attendance, and engagement deficits.4 |
| NEGATIVE FACTORS: SCHOOL AND INSTITUTIONAL | ||
| Teacher absence (5 percentage point increase in absence rate) | +0.6 ppt dropout per 5 ppt teacher absence | +0.6 ppt dropout risk per 5 ppt rise in teacher absence. Disproportionate impact on low-SES students.5 |
| Inadequate home broadband access | −8 ppts on district support coverage (2023-25) | Only 7% of districts have full student bandwidth coverage. Off-campus support fell from 74% (2023) to 66% (2025).6 |
Key Takeaways
● Chronic absenteeism is the single most powerful individual risk factor. Missing just 10% of school days is associated with an 18 percentage point drop in the probability of graduating on time. That threshold is approximately 14-18 days per year depending on calendar length.1
● Poverty multiplies every other negative factor. Students in poverty are 4x more likely to be chronically absent. They also face higher rates of high-conflict home environments and lower broadband access, making poverty a structural amplifier, not just a single risk variable.2
● 9th grade off-track status is an early and reliable predictor of dropout. Students who finish 9th grade on-track are 4x more likely to graduate than peers who fall behind. A single failing grade in a core course at age 14 triggers a chain reaction that is difficult to reverse.4
● Teacher and institutional factors compound student disadvantage. A 5 ppt rise in teacher absence adds 0.6 ppts to student dropout probability, with the largest effects on low-SES students. Districts that cut broadband support from 74% to 66% of students between 2023 and 2025 are withdrawing a protective resource from the students most likely to need it.5
● The negative factors cluster: the students most at risk face multiple of them simultaneously. Poverty drives absenteeism. Absenteeism drives 9th grade failure. 9th grade failure drives dropout. Interventions that address only one factor while ignoring the others are unlikely to change outcomes at scale.
Positive Factors That Impact Graduation Rates
The four factors below have the strongest research support as drivers of higher graduation rates. The Impact on Grad. Rate column uses the same metric structure as the negative table: estimated change in graduation probability or graduation rate attributable to each factor.
| Factor | Impact on Grad. Rate | What the Research Shows |
|---|---|---|
| STUDENT AND FAMILY FACTORS | ||
| High-quality early childhood education (pre-K) | +6 to +11 ppts on graduation probability | High-quality pre-K raises graduation probability by 6-11 ppts; effects persist 13 years and are largest for low-income students.18 |
| SCHOOL AND INSTITUTIONAL FACTORS | ||
| School connectedness and behavioral engagement | +13 to +20 ppts on on-track and graduation rates | Detectable as early as elementary school; early intervention before 9th grade is the highest-leverage point of action.7 |
| 9th grade on-track monitoring and early-warning indicator systems | +35 to +45 ppts on graduation probability | On-track 9th graders are 4x more likely to graduate. |
| Reduced exclusionary discipline (suspension and expulsion) | +23 ppts on graduation rate | Low-suspension districts graduate students 23 ppts higher than high-discipline peers; suspended students are twice as likely to drop out.20 |
Sources: [7] Talkspace/WSAC (2025); [18] Gray-Lobe, Pathak and Walters (2021, MIT/NBER); McCoy et al. (2017); [19] UChicago Consortium; Philadelphia School District (2025); [20] ACLU of Washington (2019).
Key Takeaways
● High-quality pre-K is the longest-range and most cost-effective positive lever. A +6 to +11 ppt graduation boost from a program completed 13 years earlier demonstrates that early investment in learning foundations produces durable returns. The effect is largest for the students most likely to face negative risk factors later.18
● 9th grade on-track monitoring is the single most actionable school-year intervention. The data is unambiguous: students on-track at the end of 9th grade are 4x more likely to graduate. Districts that systematically monitor and intervene on 9th grade on-track data see sustained graduation improvements.19
● Reducing exclusionary discipline produces measurable graduation gains, not just equity improvements. Districts with low suspension rates graduate students at rates 23 ppts higher than high-discipline peers. Keeping students in the classroom is not a soft policy preference; it is a quantified graduation driver. The gains are concentrated in the demographic groups most likely to be chronically absent and off-track.20
● School connectedness is protective at every grade level and the earliest detectable signal. Behavioral disengagement is measurable as early as elementary school and predictive of dropout years later. It is the factor that districts can influence most directly through staffing, advisory programs, and institutional culture, and the one whose protective effect runs across the full K-12 pipeline.7
Looking Ahead: The Demographic Cliff
The 2025 high school graduating class is the largest in U.S. history at approximately 3.9 million students. Starting in 2026, WICHE projects a sustained national decline driven by falling birth rates in the late 2000s. Regional graduate volume figures below are sourced from NCES Projections of Education Statistics (2022 edition) and WICHE Knocking on the College Door, 11th Edition (December 2024).9,16
| Region / State | 2025 Est. Graduate Volume | Projected Change by 2041/2045 | Key Driver |
|---|---|---|---|
| United States (Total) | ~3.9M | -13% by 2041 | Falling birth rates in the late 2000s. 2025 cohort is the largest in U.S. history. |
| South (Region) | ~1.57M | +3% by 2041 | Population growth in the Sun Belt partially offsets demographic decline; equity gaps persist. |
| West (Region) | ~915K | -17% by 2041 | California population migration and birth rate decline drive steepest absolute losses nationally. |
| Midwest (Region) | ~630K | -16% by 2041 | Stable rural states (IA, ND, SD) partially offset by urban population losses in IL, MI, OH. |
| Northeast (Region) | ~430K | -17% by 2041 | Population aging, out-migration, and decades-low birth rates. VT, ME, and NH already in contraction. |
| California | ~450K | -138,000/yr by 2045 | Population out-migration to TX and other Sun Belt states, compounded by birth rate decline. |
| Wyoming | ~7.5K | Volume stable; rate +1.5 ppts (2024-25) | Rural resilience: low population density, stable demographics, strong community engagement. |
| Texas | ~400K | Volume +21K by 2041; rate flat | Fast population growth keeps volume high; large and growing Hispanic and ELL populations present equity challenge. |
Sources: [9] WICHE Knocking on the College Door (December 2024); [16] NCES Projections of Education Statistics (2022 edition).
Key Takeaways
● 2025 is the peak year for U.S. high school graduates, at approximately 3.9 million. The decline begins in 2026 and is driven by falling birth rates from the late 2000s, not a sudden shift in policy.
● The South is the only region projected to grow (+3% by 2041). Every other region faces double-digit decline, with the Northeast, West, and Midwest each projected to lose 16-17% of their graduate volume.
● California faces the steepest absolute loss. The state is projected to produce approximately 138,000 fewer high school graduates per year by 2045, a compounding impact on both K-12 outcomes and college enrollment pipelines.
● Texas is the exception among large states. Population growth is projected to add approximately 21,000 graduates by 2041, but the statewide graduation rate remains flat at 86%, and equity gaps are widening.
● The demographic cliff will expand, not shrink, the adult learner market. As traditional-age student volume falls, colleges will increasingly compete for stop-outs, returning adults, and students who need flexible, credit-bearing options to complete interrupted degrees.
High School Graduation Rates by State: What These Numbers Mean for Students and Families
The national graduation rate of 89.6% means roughly one in ten students does not finish high school on time. Many of those students, and many more who graduate but arrive at college without the prerequisite coursework their intended program requires, become the stop-out and returning student populations that need flexible, affordable alternatives to traditional enrollment.
For students who fall into the gaps these numbers reveal, whether due to chronic absenteeism, a missed prerequisite, a failed 9th grade year, or a degree interrupted by work or family, self-paced, ACE-recommended college courses offer a way to close that gap without returning to a full-time campus schedule.
For example, StraighterLine courses are accepted for transfer at 3,000+ colleges and universities, start at $79 per course, include free digital textbooks and 10 hours of tutoring, and can be completed in as little as 23 days.17
The data tells a clear story: the pipeline from high school to college degree is leaky at multiple points and uneven across demographic groups and geographies. That gap is not a character flaw in the students it affects. It is a structural problem that affordable, flexible options are built to address.
If you are a student who is experiencing a delay in your college journey, stopped out before finishing your degree, or simply need a prerequisite course without the price tag of a full semester, StraighterLine offers a direct path forward. Courses are ACE-recommended and self-paced with no deadlines — giving students the flexibility to earn college credits at their convenience, with the confidence that their coursework will count toward degree completion at accredited colleges and universities.
You can start with a free trial, browse the full course catalog, or speak with an enrollment specialist who can confirm whether your school accepts StraighterLine credits before you enroll.17
Ready to close the gap? Try a StraighterLine course for free at straighterline.com.
References
- Chronic Absence, Graduation Probability. PMC / Chicago Longitudinal Study (2018). pmc.ncbi.nlm.nih.gov/articles/PMC6047866/
- Poverty and Attendance. NCES / letsgolearn.com (2025). letsgolearn.com/education-reform/poverty-in-school/
- High-Conflict Home Environments and Dropout Risk. Ranum, B.M. et al. (2024). Parental separation and school dropout in adolescence. BMC Public Health. PMC / youth@hordaland Study. pmc.ncbi.nlm.nih.gov/articles/PMC11292976/
- 9th Grade On-Track Status. Washington Student Achievement Council (2015). wsac.wa.gov/sites/default/files/2015.12.3.Ritter.Graduation.Issue.Brief.pdf
- Teacher Absence and Dropout. PMC / Norwegian Register Study (2024). ncbi.nlm.nih.gov/pmc/articles/PMC11262431/
- Home Broadband Access. Consortium for School Networking (CoSN) (May 2025). cosn.org/2025-state-of-edtech-district-leadership/
- School Connectedness. Research literature cited in Talkspace (2025) and WSAC (2015). See references 3 and 4 above.
- National ACGR Trend. National Center for Education Statistics (2024). High School Graduation Rates. Condition of Education. nces.ed.gov/programs/coe/indicator/coi/high-school-graduation-rates
- Demographic Cliff Projections. WICHE (December 2024). Knocking on the College Door, 11th Edition. wiche.edu/resources/knocking-on-the-college-door/
- Private School Graduation Rates. NCES Private School Universe Survey 2021-22. nces.ed.gov/surveys/pss/
- Catholic School Outcomes. publicpurpose.com citing NCES. publicpurpose.com/pp-edpp.htm
- Charter School Graduation Advantage. Mathematica Policy Research (2015) via PublicSchoolReview.com. publicschoolreview.com/blog/charter-schools-produce-more-graduates-than-public-schools
- Montessori Secondary Outcomes. Dohrmann et al. (2007), Journal of Research in Childhood Education. doi:10.1080/02568540709594622. Also: Ruijs, N., cited in US News (January 2, 2018). usnews.com/news/national-news/articles/2018-01-02/studies-shed-light-on-merits-of-montessori-education
- 50-State Graduation Rate Data. World Population Review (2026), aggregated from state departments of education. worldpopulationreview.com/state-rankings/high-school-graduation-rates-by-state
- Graduation Rates by Demographic Group. NCES Condition of Education 2024; Education Data Initiative / NCES (January 2025). educationdata.org/education-attainment-statistics
- NCES Projections of Education Statistics (2022 edition). nces.ed.gov/programs/projections/projections2031/
- StraighterLine Courses and Credit Transfer. straighterline.com/online-college-courses/
- High-Quality Early Childhood Education and Long-Run Outcomes. Gray-Lobe, G., Pathak, P., & Walters, C. (2021). The long-term effects of universal preschool in Boston. MIT/NBER Working Paper. Also: McCoy, D.C. et al. (2017). Impacts of Early Childhood Education on Medium- and Long-Term Educational Outcomes. Educational Researcher, 46(8), 474-487.
- 9th Grade On-Track and Early Warning Indicator Systems. UChicago Consortium on School Research (2007). The Use of Ninth-Grade Early Warning Indicators to Improve Chicago Schools. consortium.uchicago.edu. Also: School District of Philadelphia (January 2025). Graduation Rates Increase Through Innovative 9th Grade Strategy. philasd.org/blog/2025/01/22/graduation-rates-student-success-increases-through-innovative-9th-grade-strategy/
- Exclusionary Discipline and Graduation Rates. ACLU of Washington (February 2019). How Suspension and Expulsion Impact Students, Schools, and Community. aclu-wa.org/sites/default/files/media-documents/aclu_factsheet_howsuspensionexpulsionimpact_feb2019.pdf
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