Understanding autism data in the Canadian Chronic Disease Surveillance System:

A resource to support the understanding and use of autism data.

  • Last updated: 2025-12-23

Introduction

This product outlines how the Canadian Chronic Disease Surveillance System (CCDSS) contributes to the collection and reporting of data on autism in Canada. It is intended to help readers understand and use autism data from the CCDSS Data Tool to support efforts across various sectors, such as the health, education, social services, and research sectors. Prepared for the first release of the CCDSS autism data in the fall of 2025, this product includes data up to the 2023–2024 fiscal year.i The most recent data are available through the online Data Tool.

The CCDSS was originally designed to track chronic diseases and conditions. As a result, some language in the Data Tool may not reflect the preferences of all Autistic people (see Language considerations for definitions of key terms). Autism is a neurodevelopmental condition not a chronic disease, but it was included in the CCDSS to take advantage of the system’s well-established infrastructure. Built in partnership with all 13 provinces and territories and guided by rigorous scientific methods, the CCDSS monitors long-term trends of chronic condition-related indicators. This makes it an ideal platform for the public health surveillance of autism and offers a valuable opportunity to address longstanding data gaps identified by the Autistic community.

What is the Canadian Chronic Disease Surveillance System?

The CCDSS is a collaborative network of provincial and territorial surveillance systems supported by the Public Health Agency of Canada.

In each province and territory, the health insurance registry database is linked to the physician claim and hospitalization databases using the health card number. Where applicable, the prescription drug database is also linked. Case definitions are applied to these linked databases to identify people with selected chronic diseases, conditions, and health events.

Anonymized aggregate data are sent to the Public Health Agency of Canada to estimate the incidence, prevalence, all-cause mortality, and/or use of healthcare services for over 20 chronic diseases, conditions, and health events. These data are reported annually and publicly available via the Data Tool.

More information about the CCDSS, including methods and data confidentiality procedures, can be found on the Summary of methods page.

How is autism data included in the Canadian Chronic Disease Surveillance System?

An autism-specific case definition, based on corresponding International Classification of Diseases (ICD) codes recorded in hospital discharge abstracts and physician claims, was developed by a pan-Canadian group of experts.ii This case definition applies only to children and youth aged 1 to 19. No case definition could reliably identify Autistic adults in health administrative data.


Autism case definition

A person aged 1 to 19 years is considered to be Autistic if they meet either of the following criteria:

*Autism ICD codes:


In the first year a child or youth meets the CCDSS case definition for autism, they are considered newly identified (referred to as “incidence” in other conditions). In subsequent years, they are considered an existing case, which allows for estimating the total number of children and youth with autism (prevalence).

Not all children and youth diagnosed with autism are identified within the publicly funded healthcare system. Some receive a diagnosis through private healthcare (e.g., private psychology clinics), the education system, or research institutions (e.g., hospital- or university-based autism research programs). These diagnoses may not be included in the CCDSS data, which could lead to underestimating the number of children and youth with autism.

What does the Canadian Chronic Disease Surveillance System data tell us about autism among children and youth in Canada?

The Data Tool provides estimates of the prevalence and newly identified cases of children and youth, based on the CCDSS autism case definition, broken down by age, sex, province and territory, and over time. Highlighted below are four key observations based on autism data up to the 2023–2024 fiscal year.iii iv

Autism estimates have increased over time

Over the past two decades, data show a rise in the number of children and youth meeting the CCDSS case definition for autism in Canada.

  • Prevalence estimates of autism in children and youth went from 1 in 714 (0.14%) in 2000–2001 to 1 in 44 (2.25%) in 2023–2024.
  • The rate of newly identified autism cases went from 35 per 100,000 children and youth in 2000–2001 to 365 per 100,000 in 2023–2024.

Several factors may have played a role in the overall rise in newly identified cases and prevalence of autism, such as increased awareness,1 expanded diagnostic criteria,2 and guidelines promoting early detection.3 The specific factors and the extent of their contribution to this rise remain unknown. Nevertheless, the trend observed in the data indicates a growing demand for programs and services to support Autistic people across the lifespan and their families.

Autism estimates vary by province and territory

Based on the CCDSS data, the prevalence estimates and rates of newly identified autism cases differ across provinces and territories.

  • In 2023–2024, the prevalence ranged from 1 in 75 (1.33%) in Saskatchewan to 1 in 34 (2.97%) in Prince Edward Island.
  • In the same year, the rate of newly identified cases ranged from 254 per 100,000 children and youth in Nova Scotia to 537 per 100,000 in British Columbia.

The identification of autism cases in the health administrative databases used by the CCDSS may vary across the provinces and territories due to differences in data recording practices, health care access, and autism assessment processes.4 Despite these differences, data from all provinces and territories included in the CCDSS showed increases in autism estimates over time.

The sex gap in autism estimates is narrowing over time

Although autism continues to be identified more frequently in males than females based on CCDSS data, overall, the sex gap has been narrowing over time.

  • In 2000–2001, there were 4.0 times more new cases of autism in males than females.
  • By 2023–2024, there were 2.3 times more new cases in males than females.

In alignment with recent research results in other countries,5 6 this trend suggests an increasing recognition and diagnosis of autism in females over time.

Autism identified at younger ages

While autism prevalence in the CCDSS remains lower in children aged 1-4 years compared to older age groups, the rate of newly identified autism cases is now highest among the youngest children and has been increasing over time.

  • From 2000–2001 to 2011–2012, the rate of newly identified autism cases was similar in children aged 1-4 and 5-9 (e.g., 161 per 100,000 versus 156 per 100,000 in 2011–2012).
  • By 2023–2024, the rate of newly identified cases in the 1-4 age group had increased to 689 per 100,000, surpassing the 5-9 age group which reached 489 per 100,000.

This shift highlights a growing emphasis on early identification and diagnosis, which can lead to earlier support for children to help them reach their full abilities.3

How is the Public Health Agency of Canada using these data?

The Public Health Agency of Canada currently relies on two data sources for the public health surveillance of autism in children and youth in Canada: the CCDSS and the Canadian Health Survey of Children and Youth (CHSCY). As these sources use different methods of data collection (health administrative data versus self-reported survey data), variations in prevalence estimates are expected. Despite these differences, both consistently show that autism prevalence:

Recognizing the unique strengths of each data source, the Public Health Agency of Canada primarily relies on data from the CHSCY to estimate the prevalence of diagnosed autism in children and youth, and to better understand their broader sociodemographic and health profiles. Meanwhile, data from the CCDSS are used to track long-term trends in autism prevalence and the number of newly identified children and youth.

By combining insights from these two national sources, we gain a more complete picture of how many Autistic children and youth live in Canada. This reliable data, both on autism prevalence and newly identified cases, can help identify potential gaps in diagnostic services and inform the development of equitable public health strategies.

Professionals such as healthcare providers, educators, and social workers use insights from this data to guide decisions that address the needs of Autistic children, youth, and their families. This data also provides a strong foundation for future research and innovation aimed at enhancing support for the autism community.

Language considerations

The Government of Canada recognizes that preferences differ on the use of person-first ('children and youth with autism') versus identity-first ('Autistic children and youth') language. To acknowledge these diverse views, this document uses both identity-first and person-first language. That said, some terminology used in the Data Tool may not fully reflect the language preferences of all Autistic people, since the CCDSS was originally designed to track chronic diseases and conditions.

The following provides explanations of key terms used in the Data Tool, as relevant in the context of autism:

Acknowledgements

The Public Health Agency of Canada would like to acknowledge and thank the CCDSS Autism Working Group for their expertise and guidance in the integration of autism-related data into the CCDSS. This work was carried out in collaboration with the Public Health Agency of Canada, the provincial and territorial partners, and the CCDSS Autism Working Group.

This document was prepared by the Public Health Agency of Canada and does not imply endorsement by the provinces and territories.


Suggested citation

Public Health Agency of Canada. (2025). Understanding autism data in the Canadian Chronic Disease Surveillance System. https://health-infobase.canada.ca/autism/

Footnotes

i The CCDSS data are reported by fiscal year, April 1 to March 31.

ii Results from a validation study of this case definition, conducted in Ontario, showed a sensitivity of 65.1%, specificity of 99.5%, positive predictive value of 65.7%, and negative predictive value of 99.5%.

iii Data on autism from Nunavut, New Brunswick, and Newfoundland and Labrador were either unavailable or excluded for all years. Data from Yukon were excluded before 2010–2011.

iv All estimates presented in this document are crude. While age-standardized estimates are used to account for differences in population age structure when comparing results over time or across provinces and territories, the overall patterns in both the age-standardized and crude estimates in this analysis were comparable. Only crude estimates are presented here since they reflect the profile of autism observed in Canada and across the provinces and territories.

References

1 Zeidan J, Fombonne E, Scorah J, Ibrahim A, Durkin MS, Saxena S, et al. Global prevalence of autism: a systematic review update. Autism Res. 2022;15(5):778-790. https://doi.org/10.1002/aur.2696

2 Rosen NE, Lord C, Volkmar FR. The diagnosis of autism: from Kanner to DSM-III to DSM-5 and beyond. J Autism Dev Disord. 2021;51:4253–4270. https://doi.org/10.1007/s10803-021-04904-1

3 Zwaigenbaum L, Brian JA, Ip A. Early detection for autism spectrum disorder in young children. Paediatr Child Health. 2019;24(7):424-443. https://doi.org/10.1093/pch/pxz119

4 Canadian Academy of Health Sciences. Autism in Canada: considerations for future public policy development - weaving together evidence and lived experience. Ottawa (ON): The Oversight Panel on the Assessment on Autism, Canadian Academy of Health Sciences; 2022 [cited 2025 August]. Available from: https://cahs-acss.ca/autism-assessment

5 Russell G, Stapley S, Newlove-Delgado T, Salmon A, White R, Warren F, et al. Time trends in autism diagnosis over 20 years: a UK population-based cohort study. J Child Psychol Psychiatr. 2022;63:674-682. https://doi.org/10.1111/jcpp.13505

6 Grosvenor LP, Croen LA, Lynch FL, et al. Autism diagnosis among US children and adults, 2011-2022. JAMA Netw Open. 2024;7(10):e2442218. https://doi.org/10.1001/jamanetworkopen.2024.42218

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