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.

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.

In the academic year of 2022/23, there were approximately ******* individuals 3- to 21-years-old with autism in the United States who were covered by the Individuals with Disabilities Education Act (IDEA). This is an increase from the previous year, when ******* individuals with autism were covered under IDEA.

The prevalence rate of autism spectrum disorder among children aged eight years in the state Georgia was estimated to be around **** per 1,000 children. Autism spectrum disorder is a developmental disability characterized by deficits in social communication and interaction as well as repetitive behavior, interest, or activity patterns. Autism spectrum disorder in childrenAmong 14 U.S. states with areas that were monitored for autism spectrum disorder in 2022, California had the highest prevalence rates of autism spectrum disorder (ASD) among children aged eight years. In 2022, California’s prevalence rate was estimated to be **** cases per 1,000 children, while the rate was about **** cases per 1,000 children in Indiana. ASD is more common among male than female children, with an estimated ** male cases per 1,000 children and ** female cases per 1,000 children in California in 2022. Limitations in a child with autism can vary between individuals and develop over time. In California, the median age of diagnosis among children with an ASD diagnosis with an IQ greater than 70 was ********* of age, in comparison to ********* for children with an ASD diagnosis and an IQ less than or equal to 70, indicating a co-occurring intellectual disability. The prevalence of ASD has increased significantly since the late 1960s by about ** to ** times. Many studies suggest that this is due to improved awareness and recognition, as well as diagnostic capabilities. Autism is likely caused by a combination of genetics and environmental factors, where people with ASD may have abnormal levels of brain serotonin, which could disrupt early brain development.

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.

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. These are Experimental Statistics and are being published to involve users and stakeholders in their development and as a means to build in quality at an early stage. This publication presents a partial picture of autism as assessments for autism may be undertaken in a variety of care settings. We are working closely with the Autism programme at NHS England to understand how this activity should flow across our mental health and community data sets and how to continue the development of this national reporting.

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).

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.

Background: Whilst cannabis is known to be toxic to brain function and brain development in many respects it is not known if its increasing availability is associated with the rising US autism rates, whether this contribution is sufficient to effect overall trends and if its effects persist after controlling for other major covariates.

Methods: Longitudinal epidemiological study using national autism census data from the US Department of Education Individuals with Disabilities Act (IDEA) 1991-2011 and nationally representative drug exposure (cigarettes, alcohol, analgesic, and cocaine abuse, and cannabis use monthly, daily and in pregnancy) datasets from National Survey of Drug Use and Health and US Census (income and ethnicity) and CDC Wonder population and birth data. Geotemporospatial and causal inference analysis conducted in R.

Results: 266,950 autistic of a population of 40,119,464 eight year olds 1994-2011. At the national level after adjustment daily cannabis use was significantly related (β-estimate=4.37 (95%C.I. 4.06-4.68), P<2.2x10-16) as was cannabis exposure in the first trimester of pregnancy (β-estimate=0.12 (0.08-0.16), P=1.7x10-12). At the state level following adjustment cannabis use was significant (from β-estimate=8.41 (3.08-13.74), P=0.002); after adjustment for varying cannabis exposure by ethnicity and other covariates (from β-estimate=10.88 (5.97-15.79), P=1.4x10-5). Cannabigerol (from β-estimate=-13.77 (-19.41—8.13), P = 1.8x10-6) and Δ9-tetrahydrocannabinol (from β-estimate=1.96 (0.88-3.04), P=4x10-4) were also significant. Geospatial state-level modelling showed an exponential relationship between ASMR and both Δ9-tetrahydrocannabinol and cannabigerol exposure; effect size calculations reflected this exponentiation. Exponential coefficients for the relationship between modelled ASMR and THC- and cannabigerol- exposure were 7.053 (6.39-7.71) and 185.334 (167.88-202.79; both P<2.0x10-7).

In inverse probability-weighted robust generalized linear models ethnic cannabis exposure (from β-estimate=3.64 (2.94-4.34), P=5.9x10-13) and cannabis independently (β-estimate=1.08 (0.63-1.54), P=2.9x10-5) were significant. High eValues in geospatial models indicated that uncontrolled confounding did not explain these findings. Therefore the demonstrated relationship satified the criteria of causal inference. Dichotomized legal status was geospatiotemporally linked with elevated ASMR.

Conclusions: Data show cannabis use is associated with ASMR, is powerful enough to affect overall trends, and persists after controlling for other major drug, socioeconomic, and ethnic-related covariates. Selected cannabinoids are exponentially associated with ASMR. The cannabis-autism relationship satisfies criteria of causal inference.

The prevalence rate of autism spectrum disorder among children aged eight years in Missouri was 14.2 per 1,000 children in 2010. In 2022, this rate was estimated to be 32.1 per 1,000 eight-year-olds. 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 from 2010 to 2022.

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.

BackgroundAutism is associated with high rates of genomic aberrations, including chromosomal rearrangements and de novo copy-number variations. These observations are reminiscent of cancer, a disease where genomic rearrangements also play a role. We undertook a correlative epidemiological study to explore the possibility that shared risk factors might exist for autism and specific types of cancer.Methodology/Principal FindingsTo determine if significant correlations exist between the prevalence of autism and the incidence of cancer, we obtained and analyzed state-wide data reported by age and gender throughout the United States. Autism data were obtained from the U.S. Department of Education via the Individuals with Disabilities Education Act (IDEA) (2000–2007, reported annually by age group) and cancer incidence data were obtained from the Centers for Disease Control and Prevention (CDC) (1999–2005). IDEA data were further subdivided depending on the method used to diagnose autism (DSM IV or the Code of Federal Regulations, using strict or expanded criteria). Spearman rank correlations were calculated for all possible pairwise combinations of annual autism rates and the incidence of specific cancers. Following this, Bonferroni's correction was applied to significance values. Two independent methods for determining an overall combined p-value based on dependent correlations were obtained for each set of calculations. High correlations were found between autism rates and the incidence of in situ breast cancer (p≤10−10, modified inverse chi square, n = 16) using data from states that adhere strictly to the Code of Federal Regulations for diagnosing autism. By contrast, few significant correlations were observed between autism prevalence and the incidence of 23 other female and 22 male cancers.ConclusionsThese findings suggest that there may be an association between autism and specific forms of cancer.

The aim of this publication is to provide information about the key differences in healthcare between people with a learning disability and those without. It contains aggregated data on key health issues for people who are recorded by their GP as having a learning disability, and comparative data about a control group who are not recorded by their GP as having a learning disability. Six new indicators were introduced in the 2022-23 reporting year for patients with and without a recorded learning disability. These relate to: • Patients with an eating disorder • Patients with both an eating disorder and autism diagnosis • Patients with a diagnosis of autism who are currently treated with antidepressants More information on these changes can be found in the Data Quality section of this publication. Data has been collected from participating practices using EMIS and Cegedim Healthcare Systems GP systems.

The Child Development Center (CDC) market is experiencing robust growth, driven by increasing awareness of early childhood development's importance and rising prevalence of developmental disorders like autism. The market, estimated at $15 billion in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $25 billion by 2033. This growth is fueled by several factors, including government initiatives promoting early intervention programs, increased parental spending on childcare and educational services, and a growing demand for specialized centers catering to children with autism and other developmental needs. The segment focused on children with autism is experiencing particularly rapid expansion due to heightened awareness and improved diagnostic capabilities. Furthermore, the increasing number of dual-income households necessitates professional childcare, further boosting market demand. The market is segmented by application (normal children, autistic children, and others) and type of center (centers for intellectual, emotional, and physical development; early intervention and treatment centers). While centers focused on intellectual, emotional, and physical development constitute a larger segment currently, early intervention and treatment centers are exhibiting faster growth due to rising autism rates and increased focus on therapeutic interventions. Geographic variations exist, with developed regions like North America and Europe currently holding larger market shares, but developing economies are projected to witness significant growth in the coming years due to rising disposable incomes and increased awareness of CDC services. Competitive pressures are moderate with a mix of large national chains and smaller, localized providers. Key challenges include maintaining high quality of care while managing operational costs and ensuring skilled staff availability. The increasing use of technology in early childhood education presents a key opportunity for future growth and innovation.

This dataset is no longer updated as of April 2023.

Basic Metadata Note: Condition is a new addition to 2017. *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.

**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.

***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.

Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.

Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

Historical Dataset of The Autism Academy Of Learning is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2004-2023),Total Classroom Teachers Trends Over Years (2003-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2003-2023),Asian Student Percentage Comparison Over Years (2003-2004),Hispanic Student Percentage Comparison Over Years (2011-2021),Black Student Percentage Comparison Over Years (2004-2023),White Student Percentage Comparison Over Years (2004-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2004-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2018),Math Proficiency Comparison Over Years (2010-2022),Overall School Rank Trends Over Years (2010-2018),Graduation Rate Comparison Over Years (2011-2013)

Historical Dataset of Autism Model School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2002-2023),Total Classroom Teachers Trends Over Years (2003-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2003-2023),Asian Student Percentage Comparison Over Years (2006-2023),Hispanic Student Percentage Comparison Over Years (2009-2023),Black Student Percentage Comparison Over Years (2002-2023),White Student Percentage Comparison Over Years (2002-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2002-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2010-2022),Graduation Rate Comparison Over Years (2013-2022)

Latest monthly statistics on Learning Disabilities and Autism (LDA) patients from the Assuring Transformation (AT) collection and Mental Health Services Data Set (MHSDS). Data on inpatients with learning disabilities and/or autism are being collected both within the AT collection and MHSDS. There are differences in the inpatient figures between the AT and MHSDS data sets and work has been ongoing to better understand these. LDA data from MHSDS are experimental statistics, however, while impacts from the cyber incident are still present they will be considered to be management information. From April 2024, LDA MHSDS data has been collected under MHSDS version 6. From 1 July 2022, Integrated Care Boards were established within Integrated Care Systems data and replaced Sustainability and Transformation Plans (STPs). Clinical Commissioning Groups have been replaced by sub-Integrated Care Boards. Data for the AT collection is now submitted by sub-Integrated Care Boards. This has resulted in some renaming within tables and the inclusion of a new Table 5.1b with a patient breakdown by submitting organisation. Patients by originating organisation and commissioning type are still available in Table 5.1a. Data in the tables are now presented by the current organisational structures. Old organisational structures have been mapped to new structures in any time series. Restraints data for MHSDS June 2024 was added to the 'Learning disability services monthly statistics MHSDS datasets' page on 19th September 2024. This is available within Tables 15-18 of the updated data tables, as well as within the updated csv file.