The prevalence of autism spectrum disorder (ASD) among children in the United States has risen dramatically over the past two decades. In 2022, an estimated 32.2 out of every 1,000 8-year-old children were identified with ASD, marking a nearly fivefold increase from the rate of 6.7 per 1,000 children in 2000. This significant upward trend underscores the growing importance of understanding and addressing ASD in American society. Gender disparities in autism diagnosis The increase in ASD prevalence is not uniform across genders. From 2016 to 2019, male children were nearly four times more likely to be diagnosed with ASD than their female counterparts. Approximately 4.8 percent of boys aged 3 to 17 years had received an ASD diagnosis at some point in their lives, compared to only 1.3 percent of girls in the same age group. This substantial gender gap highlights the need for further research into potential biological and social factors influencing ASD diagnosis rates. Racial and ethnic variations in autism prevalence Autism prevalence also varies across racial and ethnic groups. Data from 2016 to 2019 show that non-Hispanic white children aged 3 to 17 years had an ASD prevalence of 2.9 percent, while around 3.5 percent of Hispanic children had ASD. While this statistic provides insight, it is essential to consider potential disparities in diagnosis and access to services among different racial and ethnic communities. Further research and targeted interventions may be necessary to ensure equitable identification and support for children with ASD across all populations.
This data table provides a collection of information from peer-reviewed autism prevalence studies. Information reported from each study includes the autism prevalence estimate and additional study characteristics (e.g., case ascertainment and criteria). A PubMed search was conducted to identify studies published at any time through September 2020 using the search terms: autism (title/abstract) OR autistic (title/abstract) AND prevalence (title/abstract). Data were abstracted and included if the study fulfilled the following criteria: • The study was published in English; • The study produced at least one autism prevalence estimate; and • The study was population-based (any age range) within a defined geographic area.
The prevalence rate of autism spectrum disorder among white, non-Hispanic eight-year-olds in Georgia was estimated to be ** per 1,000 children as of 2022. Autism spectrum disorder is a developmental disability characterized by deficits in social communication and interaction as well as repetitive behavior, interest, or activity patterns. This statistic displays the estimated prevalence of autism spectrum disorder among children aged eight years in selected U.S. states in 2022, by race/ethnicity.
The prevalence rate of autism spectrum disorder among four-year-old children in Missouri was around 24.8 per 1,000 children in 2022. Autism spectrum disorder is a developmental disability characterized by deficits in social communication and interaction as well as repetitive behavior, interest, or activity patterns. This statistic displays the estimated prevalence of autism spectrum disorder among children aged four years in select U.S. states in 2022.
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These statistics present a group of measures on waiting times for autism spectrum disorder diagnostic pathways, based on the time between a referral for suspected autism and the first care contact associated with that referral. There are also multiple breakdowns based on the progression and outcomes of those referrals. Each of these measures contributes to an overall picture of waiting times for diagnostic pathways. The approach is outlined in the methodology section of this publication.
This statistic shows the estimated prevalence of autism spectrum disorder among children aged 3 to 17 years in the U.S. from 2016 to 2019, by gender. In that period, around 4.8 percent of male children and 1.3 percent of female children had been diagnosed with autism spectrum disorder at some point in their life.
These statistics present the number of new referrals to mental health services for which the referral reason was suspected autism, as well as their waiting times to first appointment.
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This table provides county-level prevalence for 2018 for seven US states using linked statewide health and education data. For full methods see: Shaw KA, Williams S, Hughes MM, Warren Z, Bakian AV, Durkin MS, et al. Statewide county-level autism spectrum disorder prevalence estimates — seven U.S. states, 2018. Annals of Epidemiology. 2023 Jan 18; Available from: https://www.sciencedirect.com/science/article/pii/S1047279723000182
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This report presents a new estimate of the prevalence of autism among adults aged 18 years and over. This was derived using data from the 2007 Adult Psychiatric Morbidity Survey (APMS 2007) in combination with data from a new study of the prevalence of autism among adults with learning disabilities, who are a key group to study because they could not take part in the APMS 2007 and have been found to have an increased risk of autism. The study was based on adults with learning disabilities living in private households and communal care establishments in Leicestershire, Lambeth and Sheffield. Whilst the study comprised a relatively small sample with limited geographical coverage and did not include the institutional population, it did include two non-mutually exclusive populations (people in communal care establishments and people with learning disabilities) which were not covered by the APMS 2007. The study demonstrates that autism is common among people with a learning disability and, in taking these into account, at 1.1 per cent nationally is slightly higher than the previous estimate of 1.0 per cent in the APMS 2007. Sensitivity analysis showed that the estimates for national prevalence produced by this study were relatively insensitive to inaccuracies caused by the limitations.
The prevalence rate of autism spectrum disorder among male children aged eight years in Georgia was estimated to be around ** per 1,000 children as of 2022. Autism spectrum disorder is a developmental disability characterized by deficits in social communication and interaction as well as repetitive behavior, interest, or activity patterns. This statistic displays the estimated prevalence of autism spectrum disorder among children aged 8 years in select U.S. states in 2022, by gender.
Input datasets on Ohio Birth and Autism will not be made accessible to the public due to the fact that they include individual-level data with PII. Output data are all available in tabulated form within the published manuscript. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Input data can be obtained from Applications from owners of the data (Children's Hospital and Ohio Department of Health). The tabulated output data is found in the manuscript. Format: Input datasets on Ohio Birth and Autism will not be made accessible to the public due to the fact that they include individual-level data with PII. Output data are all available in tabulated form within the published manuscript (e.g., results of regression models, measures of central tendency, population characteristics, etc.). This dataset is associated with the following publication: Kaufman, J., M. Wright, G. Rice, N. Connolly, K. Bowers, and J. Anixt. AMBIENT OZONE AND FINE PARTICULATE MATTER EXPOSURES AND AUTISM SPECTRUM DISORDER IN METROPOLITAN CINCINNATI, OHIO. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 171: 218-227, (2019).
Autism is a developmental disability that influences a person’s ability to communicate and relate to other people. It is a spectrum condition, meaning that while all people with autism will have similar problems, overall their condition will impact them in different ways. Some people may be able to lead fairly independent lives while others will require a lifetime of specialist support. These tables set out the number and rate of children referred for an assessment for autism and the number and rate of children diagnosed with autism each quarter.
This data collection is associated with a large population-based twin study of gender differences in autism. The data were collected from 2016-2019 from a sample population based in the UK. All participants were aged between 20-24 years of age at the time of data collection. The data deposited in this collection are taken from in-home assessments and accompanying questionnaires completed by the twins. The collection includes data from Autism Diagnostic Observation Schedule -2 assessments, the Social Responsiveness Scale (2nd edition) (a measure of autism traits), WASI IQ assessments, Strengths and Difficulties Questionnaire total domain scores (a measure of aspects of mental health) and the WHOQoL Bref (a measure of quality of life). Also included in the collection are demographic information for the participants including sex, age, zygosity and a grouping variable to indicate whether they were included in the study’s diagnosed, high trait or co-twin sample groups.
Waiting times for autism diagnostic pathways, using both a forward-modelling approach based on referrals for suspected autism and a reverse-modelling approach based on known diagnoses of autism. By mental health provider and split by age group, gender and ethnicity.
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Prevalence Of Autism Spectrum Disorder Per 1000 Children 8 Years Old All States
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The global Autism Spectrum Disorder (ASD) market, valued at $7.78 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 7.6% from 2025 to 2033. This expansion is driven by several key factors. Increased awareness and early diagnosis of ASD are leading to higher treatment rates. Advances in therapeutic interventions, including both pharmacological and non-pharmacological approaches, offer improved outcomes for individuals with ASD and their families. Furthermore, the growing prevalence of ASD globally, coupled with increased investment in research and development of new treatments, fuels market growth. The market is segmented by therapy type (pharmacological and non-pharmacological) and age group (pediatric and adult), reflecting the diverse needs of the ASD population. Pharmacological therapies currently hold a larger market share, due to the established efficacy of certain medications in managing ASD-related symptoms. However, the non-pharmacological segment is experiencing significant growth, driven by rising interest in behavioral therapies and other holistic approaches. The adult segment shows increasing demand as individuals with ASD live longer and require continued support. Regionally, North America and Europe currently dominate the market due to established healthcare infrastructure, higher awareness, and greater access to specialized services. However, Asia-Pacific is expected to witness significant growth in the coming years, fueled by rising disposable incomes, improved healthcare access, and increasing diagnostic capabilities. Competitive pressures within the market are intense, with leading companies focusing on developing innovative therapies, expanding their geographical reach, and strengthening their market positioning through strategic collaborations and acquisitions. Challenges remain, including the high cost of treatments, accessibility issues in certain regions, and the need for more effective treatments for specific ASD-related symptoms. Despite these challenges, the long-term outlook for the ASD market remains positive, driven by sustained investment in research, growing awareness, and an increasing focus on improving the lives of individuals with ASD.
According to the ADI-R (Autism Diagnostic Interview-Revised) or the ADOS (Autism Diagnostic Observation Schedule) algorithm, the DSM-IV and the ICD-10 diagnostic criteria for autistic disorder are fulfilled when the total scores of each domain reach the cut-off.YES: Limited expressive language and severe delay.NL: normal; PS: pulmonary stenosis; S for SVAS: supravalvular aortic stenosis. Patient 6 had also a ventricular septal defect, an aortic coartation, a patent ductors arteriosus and a mitral insufficiency. Patient 7 had also a mitral stenosis and a tricuspid endocarditis with valvular involvment.**NL: normal; TRI: terminal renal insufficiency.
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Introduction: This chapter presents the analysis of physician-diagnosed International Classification of Diseases (ICD version 9) disorders and diseases associated with autism spectrum disorders (ASD) in a 16-year pediatric cohort.Materials and Methods: The sample (n = 47,180; 62% male) consisted of children in the Alberta Health Services Calgary Health Region catchment under the age of 3 years, who received any physician-assigned ICD 9 diagnosis before the age of three between April 1993 and December 31, 1994. There were 111 females and 609 males with ASD diagnosed at any time between 1993 and 2010. The results detail the 16-year odds ratio (OR) associations of ASD diagnosis within the major classes of international classification of diseases (ICD 9) stratified by age and sex in the cohort. Further, for those suffering from ASD and any other disorder or disease, the analysis presents by sex, age, and duration, the proportions of all index physician-assigned ICD diagnoses, arising significantly before and after the index ASD diagnosis.Results: The rate of treated ASD in the cohort was 1 in 65 and the 16-year population rate of ASD was 62 per 10,000. For males with an ASD over the 16 year period, the ORs were significantly greater than the value one for 15 of the 17 main ICD classes and for 10 of the main ICD classes for females. Different age strata presented a more specific account of the main ICD class OR profiles. More specifically, 28 ICD disorders significantly preceded and 95 ICD disorders significantly followed ASD for females. Thirty-eight ICD disorders significantly preceded and 234 ICD disorders significantly followed ASD for males.Conclusions: The results largely confirm past studies focusing on more constrained sets of ASD morbidity. The age-stratified ORs gauge the order of risk in time for the cohort. The proportions of specific ICD disorders arising before and after ASD may be useful in respect to informing basic ASD research and ASD clinical management. Limitations are discussed.
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The global market for Autism Spectrum Disorder (ASD) diagnostics is experiencing robust growth, projected to reach a substantial size driven by increasing prevalence of ASD, rising awareness, and advancements in diagnostic technologies. The market, valued at approximately $2.5 billion in 2025, is anticipated to exhibit a Compound Annual Growth Rate (CAGR) of 5% from 2025 to 2033. This growth is fueled by several key factors. Increased investment in research and development is leading to the development of more accurate and efficient diagnostic tools, moving beyond traditional behavioral assessments towards advanced genetic and neuroimaging techniques. Simultaneously, heightened awareness campaigns and earlier intervention programs are contributing to earlier diagnosis and increased demand for diagnostic services. This is further supported by expanding healthcare infrastructure, particularly in developing economies, and increased access to specialized healthcare professionals trained in ASD diagnosis. The segment encompassing hospitals and clinics represents the largest market share within the application sector, reflecting the prevalent reliance on established healthcare facilities for diagnosis and treatment. However, certain challenges persist. The heterogeneity of ASD, presenting differently across individuals, poses difficulties in standardizing diagnostic procedures. Furthermore, disparities in access to quality diagnostic services remain across geographical regions, limiting the market's full potential, particularly in low- and middle-income countries. High costs associated with advanced diagnostic technologies and the ongoing need for specialized training represent additional hurdles. Despite these restraints, the long-term outlook for the ASD diagnostics market remains optimistic, driven by continued innovation, evolving healthcare policies, and increasing societal acceptance and support for individuals with ASD. The market is expected to see significant growth across all segments, with North America and Europe holding the largest market shares initially, but significant growth anticipated in the Asia-Pacific region over the forecast period.
This annual report aims to show the prevalence rate of autism amongst the compulsory school age population. Analyses are provided by health and social care trust, gender, school year, special educational needs and multiple deprivation measure.
The prevalence of autism spectrum disorder (ASD) among children in the United States has risen dramatically over the past two decades. In 2022, an estimated 32.2 out of every 1,000 8-year-old children were identified with ASD, marking a nearly fivefold increase from the rate of 6.7 per 1,000 children in 2000. This significant upward trend underscores the growing importance of understanding and addressing ASD in American society. Gender disparities in autism diagnosis The increase in ASD prevalence is not uniform across genders. From 2016 to 2019, male children were nearly four times more likely to be diagnosed with ASD than their female counterparts. Approximately 4.8 percent of boys aged 3 to 17 years had received an ASD diagnosis at some point in their lives, compared to only 1.3 percent of girls in the same age group. This substantial gender gap highlights the need for further research into potential biological and social factors influencing ASD diagnosis rates. Racial and ethnic variations in autism prevalence Autism prevalence also varies across racial and ethnic groups. Data from 2016 to 2019 show that non-Hispanic white children aged 3 to 17 years had an ASD prevalence of 2.9 percent, while around 3.5 percent of Hispanic children had ASD. While this statistic provides insight, it is essential to consider potential disparities in diagnosis and access to services among different racial and ethnic communities. Further research and targeted interventions may be necessary to ensure equitable identification and support for children with ASD across all populations.