Prevalence of intellectual disability in New South Wales, Australia: a multi-year cross-sectional dataset by Local Government Area (LGA)

The presented dataset relates to a research project titled “My Home My Community” undertaken at University of Technology Sydney (UTS) which has been funded by the National Disability Insurance Agency (NDIA) Australia. The dataset re-ports estimated prevalence rates of Intellectual Disability in NSW by local government area (LGA) from 2010 – 2015. The dataset is a re-examination of a cohort of 92, 542 peo- ple with intellectual disability from a larger linked research dataset built by the Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW . The dataset in this paper is presented in a multi-year cross-sectional format. The cohort of people with Intellectual Disability was analysed to estimate, quantify and visualise where people with intel- lectual disability live in New South Wales (NSW). The cohort analysed in this dataset had been generated in an earlier project undertaken by the UNSW-based authors. This dataset was generated to share with local governments in Australia and has the potential to be more widely used in a range of health policy and planning research, and city and regional planning research environments. It represents one of the only datasets currently available in Australia on Intellectual Dis- ability describing prevalence rates at a local government area


a b s t r a c t
The presented dataset relates to a research project titled "My Home My Community" undertaken at University of Technology Sydney (UTS) which has been funded by the National Disability Insurance Agency (NDIA) Australia. The dataset reports estimated prevalence rates of Intellectual Disability in NSW by local government area (LGA) from 2010 -2015. The dataset is a re-examination of a cohort of 92, 542 people with intellectual disability from a larger linked research dataset built by the Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW . The dataset in this paper is presented in a multi-year cross-sectional format. The cohort of people with Intellectual Disability was analysed to estimate, quantify and visualise where people with intellectual disability live in New South Wales (NSW). The cohort analysed in this dataset had been generated in an earlier project undertaken by the UNSW-based authors. This dataset was generated to share with local governments in Australia and has the potential to be more widely used in a range of health policy and planning research, and city and regional planning research environments. It represents one of the only datasets currently available in Australia on Intellectual Disability describing prevalence rates at a local government area level. This dataset allows for population comparisons in other Australian states and internationally and can be examined in combination with other social and economic datasets to continue to build evidence about disability, planning and geography.
© 2020 The Author(s

Value of the data
• One of the difficulties of analysing prevalence rates of Intellectual Disability in Australia and nationally has been a lack of consensus across jurisdictions on how Intellectual Disability is defined and captured in larger datasets. This dataset is drawn from a population cohort that can be considered more accurate than other Australian datasets for a number of reasons; Firstly, it was generated by linking a number of large databases; Secondly, it captures secondary diagnoses of Intellectual Disability and thirdly, it is able to isolate intellectual disability status from more broad disability or mental health status. • Data on where People with Intellectual Disability (ID) live has not previously been able to be presented or compared at a Local Government Area (LGA) level in Australia. The distribution of people with ID has been limited to a single prevalence rate across larger National or State levels. This data represents a state-wide dataset for NSW Australia that details service access at the local government level. • Researchers and policy-makers working in the fields of Disability, Local Government, Housing, Planning, Geography, Health and Inclusion. Local Governments across NSW Australia (128) can access it to understand the data in terms of their own LGA -to plan for services and preparing Disability Inclusion Action Plans (DIAPS). More broadly, local governments across Australia and internationally can interpret aspects of the data in their own local government context. • Prevalence rates of People with Intellectual Disability can be very difficult to determine for a number of reasons. Firstly, because of the wide variance in level of intellectual disability (mild or severe). Secondly, data may not isolate Intellectual disability from disability in general. Thirdly, data may cluster intellectual disability with mental health diagnoses. • data can be linked with other available datasets that sort by Local Government Area, to provide insight into what factors influence where people with intellectual disability live and why. This dataset represents aggregated data from one of the largest available cohorts of people with intellectual disability internationally.

Data Description
The dataset is a re-examination of a cohort of people with intellectual disability. The cohort links several administrative datasets from health, disability, justice and education service providers to identify people in NSW with neuropsychiatric disorders. The original data linkage precedes this published dataset and was undertaken by the Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW with the cohort profile described in two research papers [ 1 , 2 ]. Linkage of the data sets was performed by the NSW Centre for Health Record Linkage (CHeReL). The CHeReL links health-related data in NSW in accordance with State and Commonwealth ethical, legal, privacy and confidentiality requirements.

About the cohort
How Intellectual Disability (ID) was identified in the databases: All people identified as having ID either had a classification code for ID based on the Diagnostic and Statistical Manual of Mental Disorders (DSM) IV or had a diagnosis of intellectual disability by International Statistical Classification of Diseases and Related Health Problems (ICD-10) in their health record.
Geographic location : New South Wales Australia Table One (supplied separately) shows the number of people with Intellectual disability living in each local government area in New South Wales, Australia, across a range of years 2010-2015. Please note that a blank cell indicates that 0-5 people with intellectual disability were re- Note: %Male, %Female and %Total are percentages of each age group over Grand Total.

Experimental Design, Materials, and Methods
The cohort of people with Intellectual Disability living in NSW was derived from a larger funded project [1] led by 3DN UNSW. The dataset links a suite of smaller administrative datasets across government and other registries, identifying people with neuropsychiatric disorders in NSW, including those with Intellectual Disability. Person level data was obtained from: The raw linked database contained a large number of individuals in NSW with neuropsychiatric disorders (n: 2,097,017) from which a sub-cohort of people with Intellectual Disability were identifiable according to diagnostic codes. The data is bound by the CINSW HREC Approval Number 2013/02/446 Protocol Improving inclusion for people with intellectual and developmental disability in their community: Improving mainstream service delivery by local governments.
Aggregated raw data related to people with intellectual disability can be shared publicly and tells a story about how many people live with Intellectual Disability in NSW and the Local Government Areas where they live. Using SPSS software, this cohort data was analysed by the Local Government Area according to an individual's registered home address. These fields of data were (2) The UTS Project team commissioned the extraction of this data by UNSW team (3) No other sources of revenue with relevance to this work where payments have been made to authors, or their institutions on their behalf, within the 36 months prior to submission; (4) No other interactions with the sponsors, outside of the submitted work; (5) No relevant patents or copyrights (planned, pending, or issued); (6) No other relationships or affiliations that may be perceived by readers to have influenced, or give the appearance of potentially influencing, what has been written in this article. (7) The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.