https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions
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.
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
The Intellectual and Developmental Disability (IDD) care market is experiencing robust growth, driven by increasing prevalence of IDD conditions, rising awareness and acceptance of individuals with disabilities, and expanding government support programs. The market, estimated at $50 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 6% through 2033, reaching approximately $80 billion. Key drivers include increased demand for community-based services, advancements in assistive technologies, and a growing emphasis on person-centered care models. Trends towards greater inclusion in mainstream society and the expansion of telehealth services are further fueling market expansion. However, challenges remain, including workforce shortages within the IDD care sector, disparities in access to care across different geographic regions and socioeconomic groups, and ongoing funding constraints for public and private insurance providers. These restraints necessitate innovative solutions to enhance service delivery, workforce training, and sustainable funding mechanisms. Significant market segmentation exists based on service type (residential care, community-based support, and specialized therapies), age group (pediatric, adult, geriatric), and type of disability (intellectual disability, autism spectrum disorder, cerebral palsy, and other developmental disabilities). The competitive landscape is diverse, encompassing large national providers like Beacon Health Options and PERFORMCARE, alongside numerous regional and local organizations, such as Texana Center and St. Joseph's Center. These providers offer a variety of services tailored to the unique needs of individuals with IDD, ranging from basic daily living assistance to complex medical and behavioral therapies. Future growth will be influenced by effective policy changes, technological advancements, and the sustained commitment to delivering high-quality, person-centered care that promotes independence and community integration for individuals with IDD.
According to the data, non-Hispanic white children had a developmental disability prevalence rate of **** percent for the given time period. This statistic shows the prevalence of children diagnosed with a developmental disability from 2019 to 2021, by race and ethnicity.
According to the data, U.S. children aged 8 to 12 years had a developmental disability rate of **** percent during the given time period. This statistic shows the prevalence of children diagnosed with a developmental disability from 2019 to 2021, by age.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This dataset includes snapshot information for 33,615 individuals, including: * age * gender * living arrangement * income source(s) * communication * use of disability aids * health and medical conditions * behavioural traits * level of support need The 2010 survey was completed by agencies providing residential services. The 2013 survey was completed by agencies providing non-residential services. Responses from multiple agencies for the same client were consolidated to ensure that only one case existed for each client.
ObjectiveChildren with developmental disabilities are associated with a high risk of poor school enrollment and educational attainment without timely and appropriate support. Epidemiological data on cerebral palsy and associated comorbidities required for policy intervention in global health are lacking. This paper set out to report the best available evidence on the global and regional prevalence of cerebral palsy (CP) and developmental intellectual disability and the associated “years lived with disability” (YLDs) among children under 5 years of age in 2019.MethodsWe analyzed the collaborative 2019 Rehabilitation Database of the Global Burden of Disease (GBD) Study and World Health Organization for neurological and mental disorders available for 204 countries and territories. Point prevalence and YLDs with 95% uncertainty intervals (UI) are presented.ResultsGlobally, 8.1 million (7.1–9.2) or 1.2% of children under 5 years are estimated to have CP with 16.1 million (11.5–21.0) or 2.4% having intellectual disability. Over 98% resided in low-income and middle-income countries (LMICs). CP and intellectual disability accounted for 6.5% and 4.5% of the aggregate YLDs from all causes of adverse health outcomes respectively. African Region recorded the highest prevalence of CP (1.6%) while South-East Asia Region had the highest prevalence of intellectual disability. The top 10 countries accounted for 57.2% of the global prevalence of CP and 62.0% of the global prevalence of intellectual disability.ConclusionBased on this Database, CP and intellectual disability are highly prevalent and associated with substantial YLDs among children under 5 years worldwide. Universal early detection and support services are warranted, particularly in LMICs to optimize school readiness for these children toward inclusive education as envisioned by the United Nations' Sustainable Development Goals.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Disability and Health Data System (DHDS) is an online source of state-level data on adults with disabilities. Users can access information on six functional disability types: cognitive (serious difficulty concentrating, remembering or making decisions), hearing (serious difficulty hearing or deaf), mobility (serious difficulty walking or climbing stairs), vision (serious difficulty seeing), self-care (difficulty dressing or bathing) and independent living (difficulty doing errands alone).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
IntroductionRecent advancements in big data analytics and the formation of large-scale clinical data repositories provide a unique opportunity to determine the current state of pediatric hearing health care for children who have developmental disabilities. Before answering unresolved questions about diagnostic practice, it is paramount to determine a standard and reliable method for identifying children who have reduced hearing because clinical management is affected by hearing status. The purpose of this study was to compare 5 different methods for identifying cases of reduced hearing from pure-tone thresholds based on developmental disability status.MethodsUsing retrospective clinical data from 100,960 children (0–18 years), hearing status was determined for a total of 226,580 encounters from three clinical sites. 9% of the children had a diagnosis of intellectual disability, autism spectrum disorder, Down syndrome, or cerebral palsy.ResultsResults revealed that encounters from children who have developmental disabilities were more likely to have insufficient data to allow hearing status to be determined. Moreover, methods with higher data demands (i.e., number of thresholds and ear-specific thresholds) resulted in fewer classifiable encounters. The average child age when hearing status was classified for the first time was older for children who have developmental disabilities than for children in the comparison group. Allowing thresholds to build up over multiple test sessions did result in more children who have developmental disabilities being classified than for single-encounter methods, but a meaningful decrease in child age at the time of classification was not seen for this strategy. Compared to the comparison group, children who have developmental disabilities were more likely to have reduced hearing that was stable over time, yet their hearing status was determined at older ages.DiscussionResults provide key guidance to researchers for how to determine hearing status in children for big data applications using electronic health records. Furthermore, several assessment disparities are spotlighted for children who have developmental disabilities that warrant further investigation.
The Governor’s Cabinet for People with Disabilities was authorized by Act 36 of 2018. It charges members with, among other things, consistent collection of data and the enforceable sharing of data.
This dataset contains the following metrics:
Persons aged 18-64 enrolled with Office of Developmental Programs (ODP) with Competitive Integrated Employment
Persons aged 18-64 enrolled with Office of Developmental Programs (ODP) with an Employment Goal in their ISP
Data starts Calendar Year (CY) Quarter (QTR) 1 of 2021
The Governor’s Cabinet for People with Disabilities was authorized by Act 36 of 2018. It charges members with, among other things, consistent collection of data and the enforceable sharing of data.
Act 36 of 2018 also charges state agencies, among others, with developing clear outcome expectations for employment that include annual baseline employment data and specific percentage goals for individuals with a disability gaining competitive integrated employment. Each agency is to complete an assessment of its progress toward meeting these goals annually and ensure that the information is publicly available and posted on its publicly accessible Internet website.
By hosting some of its employment first data on this publicly accessible dashboard DHS is working towards meeting its obligations under Act 36.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Industry: Residential Developmental Disability Homes (PCU623210623210) from Dec 2003 to Jul 2025 about disability, residential, housing, PPI, industry, inflation, price index, indexes, price, and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All Employees: Education and Health Services: Residential Intellectual and Developmental Disability, Mental Health, and Substance Abuse Facilities in New York (SMU36000006562320001SA) from Jan 1990 to Jun 2025 about substance abuse, disability, health, residential, NY, employment, and USA.
Data collected between 2015 and 2018 by the National Heath Interview Survey indicated the prevalence of any developmental disability among U.S. children aged 3-17 years was 17.8 percent. When separated by urbanicity, the prevalence in children from rural areas was significantly higher than those from urban areas. Developmental disabilities included attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, blindness, cerebral palsy, moderate to profound hearing loss, learning disability, intellectual disability, seizures in the past 12 months, stuttering or stammering in the past 12 months, or any other developmental delay. This statistic shows the percentage of U.S. children aged 3-17 years ever diagnosed with a developmental disability from 2015 to 2018, by urbanicity.
The Developmental Disabilities Regulation describes the significant limitation in intellectual capacity and the significant limitation in adaptive skills for the purpose of defining developmental disability under The Persons with Developmental Disabilities Services Act.
Access Living is a service and advocacy center in Chicago, led and run by disabled people. They believe in driving positive change to create a more inclusive world for all people with disabilities, and they are committed to being their own best advocates. With a focus on creating a more accessible and just society, Access Living offers various services, resources, and opportunities for people with disabilities to get involved and take action.
As a leading organization in the disability rights movement, Access Living is dedicated to defending the rights of people with disabilities and promoting systemic change. Through their advocacy efforts, they work to address the unique challenges facing disabled people, including barriers to healthcare, education, employment, and transportation. With a strong presence in the Chicago community, Access Living continues to push for greater accessibility, inclusion, and opportunity for all individuals, regardless of disability.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
ABSTRACT This paper aims at problematizing the assessment process of subjects with Intellectual Disabilities (ID), and its effects in terms of definition, classification and diagnoses produced on ID. The proposed discussions stem from an analysis of the different approaches presented in the manuals of the American Association for Intellectual and Developmental Disability (AAIDD, 2010 and AAMR, 2006) and their (re)significations. We seek to put under tension the discourses used to define who the subjects with ID are; what characteristics constitute them; what behaviors characterize them; what learning potential they have and what supports they need in the educational context. In articulation with these analyzes, we present data produced in the project “The contributions of Rio Grande do Sul for the validation of the Support Intensity Scale - SIS, in Brazil”. Based theoretically on the socio-anthropological discussions proposed by Lev S. Vygotsky, we consider the data as elements for the construction of an analysis that indicates the possibility (and necessity) to look at the ID from a perspective other than one that derives from IQ indicators, which are historically responsible for the delimitation of ID in levels of severity, whose development possibilities were previously indicated by clinical diagnoses.
https://library.unimelb.edu.au/restricted-licence-templatehttps://library.unimelb.edu.au/restricted-licence-template
Collection of demographic, clinical minimum dataset, genomic variant interpretation data.
https://www.usa.gov/government-workshttps://www.usa.gov/government-works
This dataset will be removed in the future. This is legacy data that will not receive any further updates.
The Governor’s Cabinet for People with Disabilities was authorized by Act 36 of 2018. It charges members with, among other things, consistent collection of data and the enforceable sharing of data.
This dataset contains the following metrics:
1. Persons aged 18-64 enrolled with Office of Developmental Programs (ODP) with Competitive Integrated Employment
2. Persons aged 18-64 enrolled with Office of Developmental Programs (ODP) with an Employment Goal in their ISP
3. Data starts Calendar Year (CY) Quarter (QTR) 1 of 2021
The Governor’s Cabinet for People with Disabilities was authorized by Act 36 of 2018. It charges members with, among other things, consistent collection of data and the enforceable sharing of data.
Act 36 of 2018 also charges state agencies, among others, with developing clear outcome expectations for employment that include annual baseline employment data and specific percentage goals for individuals with a disability gaining competitive integrated employment. Each agency is to complete an assessment of its progress toward meeting these goals annually and ensure that the information is publicly available and posted on its publicly accessible Internet website.
By hosting some of its employment first data on this publicly accessible dashboard DHS is working towards meeting its obligations under Act 36.
https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions
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 October 2021, LDA MHSDS data has been collected under MHSDS version 5. A number of comparators are published each month to assess the differences in reporting between the collections. These can be found in the MHSDS datasets section. 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. As of 23rd May 2024, restraints data for MHSDS February 2024 has been added to the 'Learning disability services monthly statistics from MHSDS: Data tables' page. This is available within Tables 15-18 of v2 of the Data tables as well as within v2 of the csv file.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Producer Price Index by Industry: Residential Developmental Disability Homes: Residential Intellectual and Developmental Disability Services was 261.30800 Index Dec 2003=100 in July of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Residential Developmental Disability Homes: Residential Intellectual and Developmental Disability Services reached a record high of 261.30800 in July of 2025 and a record low of 99.90000 in February of 2004. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Residential Developmental Disability Homes: Residential Intellectual and Developmental Disability Services - last updated from the United States Federal Reserve on September of 2025.
Department of Developmental Services (DDS) consumer population by diagnosis and regional center as reported on the Client Development Evaluation Report (CDER). Information reported by Regional Centers to DDS. It is common for a consumer to have a combination of two or more developmental disabilities (Intellectual Disability, Autism, Epilepsy, Cerebral Palsy, or 5th Category) recorded on their CDER. Early Start consumers do not have CDERs, Early Start and total population counts derived from the Client Master File (CMF).
https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions
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.