Autism Statistics in the US 2026 | Autism Facts

Autism Statistics in US

Autism in America 2026

Autism Spectrum Disorder (ASD) has become one of the defining public health stories of a generation in the United States. As of 2026, the most recently published federal surveillance data — released by the Centers for Disease Control and Prevention (CDC) on April 17, 2025, through its Autism and Developmental Disabilities Monitoring (ADDM) Network — confirms that 1 in every 31 American children aged 8 years has been identified with autism. That is 3.2% of all 8-year-olds, a sharp rise from the 1 in 36 figure reported just two years prior. The ADDM Network, which monitors 16 sites across 14 U.S. states and Puerto Rico, represents the most rigorous and authoritative autism surveillance program in the world, and its 2025-published findings are the most current government-verified numbers available anywhere as of today. Policymakers, healthcare providers, educators, and families are all operating in response to this latest wave of data, making it the defining baseline for understanding autism in America in 2026.

What makes the current moment particularly urgent is not just the scale of the numbers, but the depth of what they reveal. Boys are being diagnosed at a rate of nearly 1 in 20. Minority children now have higher autism identification rates than white children — a historic first. Nearly two-thirds of identified children have either severe or borderline intellectual disability. And as the first generation of children diagnosed under the modern ASD framework enters adulthood, the United States faces an employment, housing, and social services crisis of staggering proportions. The economic burden of autism is forecast to hit $461 billion annually, and the costs are shifting from families to government at a pace public systems are not prepared for. This article brings together every verified, government-sourced statistic available as of March 2026 to give a complete and authoritative picture of autism in the United States today.

Interesting Autism Facts in the US 2026

The following facts represent the most current, government-verified data points on autism spectrum disorder in the United States, drawn from the CDC ADDM Network Report (MMWR, April 17, 2025), the National Institute of Mental Health (NIMH), and the U.S. Department of Health and Human Services (HHS). These are the most recent figures available as of March 2026. The CDC ADDM publishes on a ~2-year surveillance lag — 2022 data published April 2025 is the latest government-verified prevalence data that exists.

Autism FactData / Figure
Overall autism prevalence in US 8-year-olds (most recent CDC data, published April 2025)1 in 31 children (3.2%)
Previous CDC estimate (published 2023, using 2020 surveillance data)1 in 36 children (2.8%)
Autism prevalence when CDC first began ADDM tracking (2000 data)1 in 150 children
Total percentage increase in prevalence since 2000+384% over 22 years
Autism prevalence among boys (8-year-olds, latest data)4.9% — approximately 1 in 20
Autism prevalence among girls (8-year-olds, latest data)1.4%
Male-to-female diagnosis ratio (8-year-olds)3.4 boys for every 1 girl
Autism prevalence among 4-year-olds (born 2018, 2022 surveillance)2.93% (1 in 34)
Median age at ASD diagnosis (8-year-old cohort, latest data)47 months (just under 4 years old)
Children with ASD diagnosed before age 3Only 50% of those eventually diagnosed
Earliest age for reliable autism diagnosisAge 2 — yet most still diagnosed after age 4
ASD cases with intellectual disability or borderline IDNearly two-thirds (~64%)
ASD cases with higher IQ (above 85)Only 36.1% — down across 6 consecutive ADDM reports
Children classified as having “profound autism”26.7% of 8-year-old cases
Estimated number of US adults with ASDApproximately 5.4–5.5 million
Annual economic burden of ASD in the US (2025 forecast)$461 billion (UC Davis / CDC library)
Highest state autism prevalence site (latest data)California — 5.3% (1 in 19)
Lowest state autism prevalence site (latest data)Texas (Laredo) — below 1%
Number of ADDM Network surveillance sites (2025 report)16 sites across 14 states + Puerto Rico
Race group with highest autism prevalence (8-year-olds, latest data)Asian/Pacific Islander children — 3.82%

Source: CDC ADDM Network, MMWR Surveill Summ 2025;74(No. SS-2):1–22, published April 17, 2025; NIMH ASD Statistics Page, updated May 27, 2025; HHS Press Release, April 15, 2025

These facts crystallize just how dramatically the autism landscape in the United States has shifted in a single generation. The leap from 1 in 150 in 2000 to 1 in 31 in the latest federal data is not a minor statistical drift — it is a 384% increase that has fundamentally transformed the demands placed on the country’s healthcare, education, and social service systems. For boys specifically, the numbers are even more stark: 1 in every 20 boys aged 8 in the CDC’s surveilled communities has been identified with autism, a rate that HHS Secretary Robert F. Kennedy Jr. described in the April 2025 press release as “astounding.” Meanwhile, the steady decline in the proportion of higher-IQ autism cases — now just 36.1% — signals that the growth in diagnoses is not simply the result of wider diagnostic criteria. The children being identified are predominantly those with significant needs, and the data reflects a genuine and escalating challenge that demands national-level action.

Autism Prevalence Trends in the US 2026 — Historical CDC Autism Statistics

No context for 2026 autism statistics is complete without the full historical trajectory. The CDC ADDM Network has published surveillance data for children born between 1992 and 2014, covering every two-year cycle since the program launched. The table below is drawn directly from CDC MMWR publications spanning 2007 to 2025, showing the unbroken rise of autism prevalence in the United States across more than two decades of federal surveillance.

ADDM Report Year PublishedSurveillance YearBirth CohortPrevalence per 1,000Ratio (1 in X)
2007200019926.71 in 150
2009200219946.61 in 150
2012200619989.01 in 110
20122008200011.31 in 88
20142010200214.71 in 68
20182014200616.81 in 59
20202016200818.51 in 54
20232018201023.01 in 44
20232020201227.61 in 36
2025 (most recent published)2022201432.21 in 31

Source: CDC ADDM Network MMWR Surveillance Summaries, 2007–2025; NIMH ASD Statistics Page, updated May 27, 2025; NBC News / CDC coverage April 2025

The historical arc of autism prevalence in the US is one of the most dramatic trends in modern public health documentation. From 6.7 per 1,000 children in the 2000 surveillance year to 32.2 per 1,000 in the most recent data — published April 17, 2025 — the overall increase stands at 384% over 22 years, with no plateau in sight. Each successive ADDM report has set a new record, and the most recent jump — from 1 in 36 (2020 data, reported 2023) to 1 in 31 (2022 data, reported April 2025) — represents one of the single largest two-year increases in the program’s history. It is critical to understand that CDC ADDM data is always published on a two-to-three-year lag because the surveillance process — reviewing health and special education records across 16 US communities — takes that long to complete with scientific rigor. The April 17, 2025 MMWR report is therefore the most current and authoritative autism prevalence data available in the US as of March 2026, and the baseline from which all 2026 planning and policy must operate.

Among the most important findings embedded within this trend is the changing clinical profile behind the rising numbers. Unlike earlier ADDM cycles where rising prevalence was partly attributed to expanded diagnostic criteria capturing higher-functioning individuals, the 2025 data tells a starkly different story. The percentage of autism cases with higher IQs (above 85) has declined in each of the last six ADDM reports, reaching only 36.1% in the 2022 surveillance year. At the same time, nearly two-thirds of identified children had either severe or borderline intellectual disability. This is not a story of definition creep or diagnostic expansion — it is a story of genuine, significant developmental need growing at scale with every passing surveillance cycle, demanding a proportional public health and policy response.

Autism Prevalence by Gender in the US 2026 — Gender-Based Autism Statistics

The gender gap in autism diagnoses is one of the most consistent findings across the entire history of ASD research, and the latest 2025 CDC ADDM data — the most current government-verified statistics available as of March 2026 — confirms it persists while also revealing early signs of narrowing. Boys continue to far outnumber girls in autism identification, though the ratio among 4-year-olds is meaningfully smaller than among 8-year-olds, suggesting a gradual trend toward earlier and broader identification of autism in girls.

Gender GroupPrevalence RateRatio (1 in X)Notes
Overall (8-year-olds, 2022 surveillance, published April 2025)3.2% (32.2 per 1,000)1 in 31CDC network average, 16 sites
Boys (8-year-olds)4.9% (49.2 per 1,000)1 in 20Highest ever recorded in ADDM history
Girls (8-year-olds)1.4% (14.3 per 1,000)1 in 70Higher than overall US rate was in 2010
Male-to-female ratio (8-year-olds)3.4 : 1
Male-to-female ratio (4-year-olds, same surveillance year)2.8 : 1 — meaningfully narrower
Girls with ASD — Maryland site (8-year-olds)>1%~1 in 93Historic first at this ADDM site
Boys in California~8% (1 in 12.5)Cited by HHS Secretary Kennedy, April 15, 2025
ASD 3.4× more prevalent in boys than girlsConsistent across all 16 ADDM sites

Source: CDC ADDM Network, MMWR Surveill Summ 2025;74(No. SS-2); HHS Press Release April 15, 2025; NIMH ASD Statistics, updated May 2025; Autism Parenting Magazine analysis, April 2025

The gender-based autism prevalence data in the US from the 2025 CDC report confirms that autism is identified 3.4 times more often in boys than in girls among 8-year-olds, and with 4.9% of boys — nearly 1 in 20 — now meeting the criteria for ASD across the ADDM network, the scale of need among the male pediatric population is extraordinary. In California alone, HHS Secretary Kennedy noted publicly in April 2025 that the rate among boys reaches approximately 1 in 12.5 — an unprecedented figure by any historical standard. For girls, the 1.4% prevalence rate is itself higher than the overall US autism rate was as recently as 2010, reflecting how much all baselines have risen. In Maryland, a well-resourced surveillance site, more than 1% of 8-year-old girls were identified with autism in the 2022 data — a historic first at that ADDM location.

The narrowing male-to-female ratio among 4-year-olds2.8 : 1 compared to 3.4 : 1 among 8-year-olds — is one of the more meaningful signals in the 2025 data. It suggests that as screening practices improve and as clinical awareness of how autism presents differently in girls grows, younger girls are being identified at relatively higher rates than in previous generations. Research consistently shows that girls are more likely to “mask” autistic traits through social imitation and internalization — a phenomenon that means they often go undiagnosed until behavioral or emotional difficulties escalate. The 3.4:1 male-to-female ratio almost certainly understates the true female prevalence of autism, and closing that diagnostic gap remains one of the most pressing priorities in autism identification across the United States in 2026.

Autism Prevalence by Race and Ethnicity in the US 2026 — Racial Disparities Autism Statistics

The 2025 CDC ADDM report — the most recent federal data available as of March 2026 — marks a historic reversal in the racial and ethnic demographics of autism identification in the United States. For the first time in ADDM Network surveillance history, Black, Asian/Pacific Islander, and Hispanic children are being identified with autism at higher rates than white children, ending a pattern of white overrepresentation that had persisted across every previous ADDM cycle and largely reflected gaps in access to diagnostic services for minority communities.

Race/Ethnicity GroupPrevalence (8-year-olds, 2022 surveillance)Ratio (1 in X)% with Severe or Borderline ID
Asian/Pacific Islander3.82%1 in 2666.5%
Black (Non-Hispanic)3.66%1 in 2778.9% — highest severity
Hispanic3.30%1 in 3063.9%
White (Non-Hispanic)2.77%1 in 3655.6% — lowest severity
American Indian/Alaska NativeElevated (Georgia site only)Limited dataLimited data
4-year-olds: Hispanic prevalence3.82%Widest gap vs. white at age 4
4-year-olds: Black prevalence3.5%Above white (2.04%) at age 4
4-year-olds: White prevalence2.04%Lowest at age 4 as well

Source: CDC ADDM Network, MMWR Surveill Summ 2025;74(No. SS-2); HHS Press Release, April 15, 2025; CBS News coverage of April 2025 CDC report; South Denver Therapy ASD Statistics, January 2026

The racial reversal in autism identification rates documented in the 2025 CDC report is both encouraging and deeply troubling in equal measure. On one hand, it represents the first concrete federal evidence that autism screening is meaningfully reaching previously underserved Black, Hispanic, and Asian communities. For years, white children were the most frequently identified group — not because autism was more common among white children, but because white families had greater access to the developmental pediatricians, neuropsychologists, and specialized evaluators needed to secure a diagnosis. The fact that Asian/Pacific Islander children now show the highest prevalence at 3.82% and Black children at 3.66% versus 2.77% for white children reflects a closing of that access gap that represents real public health progress. The CBS News report on the April 2025 CDC findings noted that study authors attributed the minority prevalence increase largely to improved access to identification services among previously underserved groups.

However, the severity data embedded in the same report tells a simultaneously alarming story. Among Black children identified with autism, a full 78.9% have severe or borderline intellectual disability — compared to 55.6% of white children. This 23-percentage-point severity gap is almost certainly not biological. It is the predictable consequence of later diagnosis and delayed early intervention — children in underserved communities are still only being identified once their challenges have become severe enough to be impossible to miss in a classroom or clinical setting. The identification gap may be closing, but the intervention equity gap has not closed with it. Minority children with autism are still being found later, presenting with more severe challenges, and receiving less access to the early developmental therapies that have the strongest evidence base. Equity in autism outcomes demands not just better screening, but a structural overhaul of how early childhood services are distributed across communities in the United States in 2026.

Autism Prevalence by State in the US 2026 — Geographic Autism Statistics

Autism prevalence varies dramatically across the United States, and the 2025 CDC ADDM Network report — covering 16 sites across 14 states and Puerto Rico — illustrates just how wide that geographic variation is. From a high of 5.3% in California to less than 1% in Texas (Laredo), the range spans more than a five-fold difference — reflecting diagnostic infrastructure and healthcare access far more than biological variation in autism occurrence.

ADDM Network Site / StatePrevalence (8-year-olds, 2022 surveillance, published April 2025)Ratio (1 in X)
California5.3%1 in 19 — highest in the network
New Jersey~4.9%~1 in 20
Minnesota~4.0%~1 in 25
Georgia~3.5%~1 in 29
Arizona~3.3%~1 in 30
Indiana~3.1%~1 in 32
Wisconsin~3.0%~1 in 33
Tennessee~2.8%~1 in 36
Arkansas~2.8%~1 in 36
Missouri~2.6%~1 in 38
Maryland~2.3%~1 in 43
Puerto RicoAmong lowest>1 in 100
Texas (Laredo)<1%>1 in 100 — lowest in network
National ADDM average (all 16 sites)3.2%1 in 31

Source: CDC ADDM Network, MMWR Surveill Summ 2025;74(No. SS-2); CDC statement, April 2025; CBS News coverage of April 2025 MMWR report

The state-level variation in autism identification across the 2025 CDC ADDM report is one of the most frequently misunderstood dimensions of autism statistics in the US. The gap between California’s 5.3% and Texas (Laredo)’s sub-1% is not a biological phenomenon — it is a reflection of diagnostic capacity. The CDC itself stated explicitly in its April 2025 documentation that site-to-site variation “could reflect differences in availability of services for early detection, evaluation, and diagnostic practices.” California has spent decades building the most extensive regional center network for developmental disabilities in the country, creating robust pathways to evaluation for children across income levels. Texas (Laredo), a predominantly low-income, majority-Hispanic border community, faces well-documented disparities in access to specialty pediatric care, and those disparities show up directly in the autism identification data.

The practical policy implication is stark: lower state prevalence figures do not mean fewer children with autism — they mean fewer children being found. States and sites with low ADDM rates almost certainly have large populations of undiagnosed children with ASD, and those children are not receiving the early intervention services that produce the most meaningful developmental gains. As states simultaneously face pressure from the $900 billion in federal Medicaid cuts signed into law in July 2025, the risk is that diagnostic and service infrastructure will erode further in exactly the communities that are already underperforming on autism identification. The geographic variation in 2026 autism statistics should be read as an urgent call for targeted investment, not as an indicator of varying local risk.

Autism Economic Burden in the US 2026 — Financial Cost Autism Statistics

The economic cost of autism in the United States is one of the largest and fastest-growing public health expenditure challenges the country faces. From direct medical costs and applied behavior analysis (ABA) therapy to lost parental wages, special education, residential care, and adult support services, the financial toll is massive — and as of late 2025, the collision between rising autism costs and federal austerity is creating real-time crises for families and state budgets alike.

Economic MetricData / EstimateYear / Source
Projected annual US economic burden of ASD (2025 forecast)$461 billion (range: $276B–$1 trillion)UC Davis / CDC library, 2015
Annual US economic burden baseline (2015)$268 billionSame source
Indiana Medicaid ABA spending growth$21 million (2017) → $611 million (2023)KFF Health News / Stateline, Nov. 2025
Federal Medicaid cuts in One Big Beautiful Bill Act (signed July 2025)$900+ billion over 10 yearsStateline Nov. 2025; NPR Dec. 2025
Children on Medicaid (public insurance) with ASD~5% of all Medicaid-enrolled children aged 3–17CDC survey, cited Stateline 2025
Children on private insurance with ASD~2% of those with private insuranceCDC survey
ABA therapy coverage by state Medicaid programsAll 50 states — mandated by CMS since 2014Centers for Medicare & Medicaid Services
States actively cutting or capping ABA therapy (2025–2026)Multiple, including Indiana and New YorkStateline Nov. 2025; NPR Dec. 2025
Lifetime societal cost per autistic individual (2021 estimate)~$3.88 millionPeer-reviewed estimate, multiple citations
ASD costs vs. stroke and hypertension combined (2015)ASD costs more than double the combined totalUC Davis / Leigh & Du, J Autism Dev Disord

Source: Leigh & Du, Journal of Autism and Developmental Disorders, 2015, archived in CDC Thacker Library; Stateline / KFF Health News, November 25, 2025; NPR Shots Health News, December 23, 2025; Centers for Medicare & Medicaid Services

The financial burden of autism in the United States is escalating on every front simultaneously — and as of 2025–2026, the collision between rising treatment costs and federal austerity is creating a genuine public policy crisis. The projected $461 billion annual burden — from the CDC-library-indexed UC Davis economic model published in the Journal of Autism and Developmental Disorders — covers direct medical, non-medical, and productivity costs combined, and is considered a conservative estimate given that autism prevalence has exceeded the model’s assumptions. In Indiana alone, Medicaid spending on applied behavior analysis therapy rocketed from $21 million in 2017 to $611 million in 2023 — a nearly 30-fold increase in six years — illustrating just how dramatically demand has outpaced any budget projection. That trajectory is playing out in some form across every state Medicaid program in the country.

The fiscal situation became significantly more acute in July 2025, when President Trump signed the One Big Beautiful Bill Act, legislating more than $900 billion in Medicaid spending cuts over the next decade. As documented by KFF Health News and Stateline in November 2025 and NPR in December 2025, multiple states immediately began moving to cap ABA therapy hours, restrict provider enrollment, and reduce reimbursement rates — directly threatening services for the children who need them most. The economic logic of cutting early autism intervention is particularly poor: the lifetime societal cost per autistic individual is estimated at $3.88 million, meaning that reducing access to early ABA and developmental therapies in childhood generates far larger costs downstream in adult residential care, government disability benefits, and lost economic productivity. The financial reality of autism in the US in 2026 demands investment, not austerity.

Autism and Employment in the US 2026 — Adult Autism Employment Statistics

Employment remains the most acute and persistent challenge facing autistic adults in the United States in 2026. Despite growing neurodiversity awareness and federal initiatives from the Department of Labor’s Office of Disability Employment Policy (ODEP), the gap between autistic adults and the broader workforce remains one of the starkest labor market disparities recorded for any group in the country. The data below reflects the most current available figures from federal agencies and peer-reviewed research published in 2024 and 2025.

Employment MetricData / FigureSource
Estimated US adults with ASD~5.4–5.5 millionCDC / NIMH
Community employment rate for autistic adults (US and Canada)~14%Roux et al. 2017; PMC longitudinal study, Jan. 2024
Autistic adults in stable employment (8-year longitudinal study)32.7%PMC / Autism journal, Bury et al., published Jan. 19, 2024
Autistic adults in stable unemployment (same 8-year study)48.5%Same source
Employment rate post-VR services (Drexel University)60% obtained any employmentDrexel / DOL ODEP cited
Of post-VR employed — working part-time80% part-time; median weekly earnings $160Drexel / DOL
Young autistic adults (post-high school) who have held any paid job53.4% — lowest of all disability groupsRoux et al., National Autism Indicators Report
REYAAS Project — new federal DOL survey of autistic adults 16–28Launched 2025; 3,030 participants surveyedFederal Register, March 24, 2025; DOL ODEP
July 2024 BLS Disability SupplementASD surveyed within cognitive/intellectual disability categoryBLS / DOL ODEP, released September 2025
General labor force participation rate (no disability)>80%BLS 2024

Source: Bury et al., Autism journal, PMC, published January 19, 2024; Roux et al. 2017, cited in DOL and federal sources; DOL ODEP Employer Brief 2025; Federal Register March 24, 2025 (REYAAS Project); BLS Disability Supplement, September 30, 2025

The autism employment crisis in the United States is deeply documented and stubbornly persistent heading into 2026. The most current longitudinal data — from an 8-year study of 2,449 autistic adults published in the journal Autism in January 2024 — found that 48.5% remained in stable unemployment across the entire study period, while only 32.7% achieved stable employment. The oft-cited ~14% community employment rate (Roux et al., referenced across DOL and federal publications) compared against the 80%+ labor force participation rate for non-disabled working-age adults represents one of the most extreme labor market disparities for any identifiable group in American life. Recognizing the depth of this data gap, the Department of Labor’s ODEP launched the REYAAS project in 2025 — a new federally funded survey specifically targeting young adults aged 16 to 28 on the autism spectrum, with 3,030 participants — to build a richer, more current federal evidence base on autistic employment outcomes.

The data from VR services offers a counterpoint worth noting: when autistic adults receive structured Vocational Rehabilitation support, 60% achieve some form of employment upon exiting VR programs — demonstrating that outcomes can improve substantially with targeted intervention. But the quality of that employment tells its own story: 80% of those employed were working part-time, with median weekly earnings of just $160 — well below poverty-level income. The DOL ODEP employer brief published in 2025 affirmed that autistic workers can succeed across any industry with the right fit and small workplace accommodations, and that many employers who have implemented inclusive hiring practices report strong retention. The challenge is scale: the structural and cultural barriers that make traditional hiring processes deeply disadvantageous for autistic candidates remain largely unchanged, and the infrastructure of supported employment, job coaching, and workplace accommodation is nowhere near sufficient to meet the needs of 5.4 million autistic adults in the US in 2026.

Autism and Education in the US 2026 — School, IDEA, and Learning Autism Statistics

For the hundreds of thousands of school-age children identified with autism through the US special education system, education is both the primary support structure and the first line of early intervention. Under the Individuals with Disabilities Education Act (IDEA), every child with ASD is entitled to a Free Appropriate Public Education (FAPE) delivered through an Individualized Education Program (IEP). The table below presents the most current data on how autism intersects with the American education system in 2026, including newly relevant context around Medicaid-funded ABA cuts directly affecting school services.

Education MetricData / Figure
Share of all IDEA special education students categorized under autism~11% of all disability-classified students
High school students with ASD graduating with regular diploma~74%
High school students with ASD earning non-diploma certificates~19%
High school students with ASD leaving school without completing~8%
Autistic high school graduates attending college~40%
Median age of ASD identification (8-year-olds, latest CDC data)47 months — just under 4 years old
Children with ASD diagnosed before age 3Only 50% of those eventually identified
Earliest age for reliable ASD diagnosisAge 2 — yet most identified after age 4
Children with “profound autism” requiring intensive school support26.7% of 8-year-old cases (CDC, April 2025)
Children with ASD plus severe/borderline intellectual disabilityNearly two-thirds (~64%) — requiring specialized settings
4-year-olds with ASD (born 2018, latest surveillance)2.93% (1 in 34) — shaping kindergarten demand projections
ABA therapy mandated in all state Medicaid programsYes — since 2014 CMS mandate
States cutting or capping school/Medicaid ABA in 2025–2026Multiple, including Indiana and New York

Source: CDC ADDM Network, MMWR Surveill Summ 2025;74(No. SS-2); U.S. Department of Education IDEA Data; Stateline / KFF Health News, November 2025; South Denver Therapy ASD Statistics Review, January 2026; Centers for Medicare & Medicaid Services

The education data on autism in the US in 2026 reflects a system that has made genuine progress in inclusive outcomes while still falling short on the foundational challenge of early identification. Approximately 74% of autistic high school students now graduate with a regular diploma — a meaningful achievement reflecting decades of advocacy, IDEA enforcement, and improved IEP practices across the country. Nearly 40% go on to attend college, a figure that reflects what is achievable when the right supports are in place throughout a student’s K–12 experience. Yet the median age of diagnosis remains at 47 months — nearly two years past the point when reliable diagnosis is possible, and well past the most neurologically intensive window for early intervention. Only 50% of children who will eventually be identified with ASD are diagnosed before their third birthday, meaning the majority miss federally funded Early Intervention (Part C of IDEA) services where evidence for developmental impact is strongest.

The 2025 Medicaid cuts are casting a long shadow over autism education outcomes heading into 2026 and beyond. Applied behavior analysis, the most extensively studied behavioral intervention for ASD, is currently covered by every state Medicaid program — but multiple states are moving to cap therapy hours, reduce reimbursement rates, and restrict access in direct response to the One Big Beautiful Bill Act’s $900 billion in Medicaid reductions. Since ABA is frequently delivered in school settings and co-funded by IDEA and Medicaid, these cuts are not purely a healthcare issue — they directly threaten the ability of schools to deliver the intensive, individualized services that autistic children require. For the 26.7% of 8-year-old autism cases classified as “profound autism” by the CDC, adequate school-based services are not supplemental — they are the primary mechanism through which meaningful developmental outcomes become possible.

Autism Co-Occurring Conditions and Severity in the US 2026 — Clinical Profile Autism Statistics

Autism spectrum disorder rarely exists in clinical isolation. The majority of individuals with ASD experience significant co-occurring conditions — including intellectual disability, ADHD, anxiety, epilepsy, and gastrointestinal issues — that compound support needs and complicate treatment at every stage of life. The 2025 CDC ADDM report, the most current US government data available as of March 2026, provides the clearest picture yet of the clinical severity profile of autism in America.

Clinical / Severity MetricData / Figure
ASD cases with intellectual disability (IQ < 70) or borderline IDNearly two-thirds (~64%) of 8-year-olds identified in 2022
ASD cases with average or above-average IQ (> 85)36.1% — declining across all 6 consecutive ADDM reports
ASD classified as “profound autism”26.7% of 8-year-old cases, 2022 surveillance (CDC, April 2025)
Children with ASD who are non-verbal or minimally verbal~40% of children with ASD
ASD with co-occurring ADHD~30–40% of autistic individuals
ASD with co-occurring anxietyAmong the most prevalent co-occurring conditions
ASD with co-occurring epilepsy / seizure disordersSignificantly elevated vs. general population
Black children with ASD — severe or borderline ID rate78.9% — highest of any racial group
Asian children with ASD — severe or borderline ID rate66.5%
Hispanic children with ASD — severe or borderline ID rate63.9%
White children with ASD — severe or borderline ID rate55.6% — lowest of any racial group
Trend in “higher IQ” autism cases across 6 ADDM cyclesDeclining in every report — directly contradicts the “diagnostic expansion only” narrative

Source: CDC ADDM Network, MMWR Surveill Summ 2025;74(No. SS-2); HHS Press Release, April 15, 2025; South Denver Therapy ASD Statistics Review, January 13, 2026 (citing CDC and NIMH)

The clinical severity data from the 2025 CDC ADDM report directly challenges the most commonly heard public explanation for rising autism rates. The go-to narrative — that autism diagnoses are increasing primarily because diagnostic criteria expanded with the DSM-5 in 2013 to capture higher-functioning individuals — is not supported by the longitudinal ADDM data. The share of autism cases with IQs above 85 has declined in every single one of the last six ADDM reports, landing at just 36.1% in 2022. Simultaneously, nearly two-thirds of identified children have severe or borderline intellectual disability, and 26.7% fall into the CDC-defined “profound autism” category — requiring full-time structured care and support. If diagnostic expansion were the primary driver, the data should show the opposite pattern: more mild cases, higher average IQs, lower severity. It does not. The autism increase in the United States is substantially driven by children with significant support needs — a reality demanding both serious etiological research and massive infrastructure investment.

The racial disparities in autism severity documented in the same report are perhaps the most actionable finding for policy in the near term. Black children with autism have the highest co-occurring intellectual disability rate at 78.9%, compared to 55.6% for white children — a 23-percentage-point severity gap that is almost certainly not biological. It reflects the cumulative consequence of later diagnosis, reduced early intervention access, under-resourced school systems, and systemic healthcare inequities that compound over time. Research consistently demonstrates that early behavioral intervention before age 3 produces the largest and most durable developmental improvements in language, adaptive functioning, and independence. When Black and Hispanic children are routinely identified years after that window, they arrive at evaluation with more severe presentations simply because the interventions that could have reshaped their trajectories were never delivered. Closing autism severity disparities in the United States is inseparable from closing the structural inequities embedded in American healthcare, early childhood services, and public education.

Disclaimer: The data reports published on The Global Files are sourced from publicly available materials considered reliable. While efforts are made to ensure accuracy, no guarantees are provided regarding completeness or reliability. The Global Files is not liable for any errors, omissions, or damages resulting from the use of these reports.