| Literature DB >> 32462063 |
Phillippa Carnemolla1, Preeyaporn Srasuebkul2, Hamish Robertson1, Julian Trollor2, Nick Nicholas1.
Abstract
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.Entities:
Keywords: Disability; Geography; Intellectual disability; Local government; Mapping; Planning; Prevalence
Year: 2020 PMID: 32462063 PMCID: PMC7243054 DOI: 10.1016/j.dib.2020.105673
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Age Distribution and Percentage Male and Female across entire 2010-2015 population cohort of People with ID.
| Age group | Male | %Male | Female | %Female | Total | %Total |
|---|---|---|---|---|---|---|
| 0-4 | 253085 | 6.8 | 239543 | 6.3 | 492628 | 6.6 |
| 05-09 | 244956 | 6.6 | 231606 | 6.1 | 476562 | 6.3 |
| 10-14 | 229477 | 6.2 | 216664 | 5.7 | 446141 | 5.9 |
| 15-19 | 237909 | 6.4 | 224854 | 5.9 | 462763 | 6.2 |
| 20-24 | 264497 | 7.1 | 254076 | 6.7 | 518573 | 6.9 |
| 25-29 | 273426 | 7.3 | 273617 | 7.2 | 547043 | 7.3 |
| 30-34 | 270173 | 7.3 | 272223 | 7.2 | 542396 | 7.2 |
| 35-39 | 247442 | 6.6 | 250185 | 6.6 | 497627 | 6.6 |
| 40-44 | 259187 | 7.0 | 267191 | 7.0 | 526378 | 7.0 |
| 45-49 | 237000 | 6.4 | 245570 | 6.5 | 482570 | 6.4 |
| 50-54 | 247862 | 6.7 | 254503 | 6.7 | 502365 | 6.7 |
| 55-59 | 225766 | 6.1 | 233599 | 6.2 | 459365 | 6.1 |
| 60-64 | 201207 | 5.4 | 207778 | 5.5 | 408985 | 5.4 |
| 65+ | 533990 | 14.3 | 618677 | 16.3 | 1152667 | 15.3 |
Note: %Male, %Female and %Total are percentages of each age group over Grand Total.
Age Distribution 2014/5.
| Age group | ID Male | %ID Male | ID Female | %ID Female | Total | % ID Total |
|---|---|---|---|---|---|---|
| 0-4 | 1629 | 3.3 | 1097 | 3.5 | 2727 | 3.4 |
| 05-09 | 6623 | 13.5 | 3251 | 10.2 | 9879 | 12.2 |
| 10-14 | 8832 | 18.0 | 4249 | 13.4 | 13084 | 16.2 |
| 15-19 | 6582 | 13.4 | 3543 | 11.2 | 10132 | 12.5 |
| 20-24 | 5007 | 10.2 | 3266 | 10.3 | 8279 | 10.2 |
| 25-29 | 3878 | 7.9 | 2688 | 8.5 | 6573 | 8.1 |
| 30-34 | 2646 | 5.4 | 2087 | 6.6 | 4740 | 5.9 |
| 35-39 | 2311 | 4.7 | 1794 | 5.7 | 4110 | 5.1 |
| 40-44 | 2289 | 4.7 | 1869 | 5.9 | 4165 | 5.1 |
| 45-49 | 2110 | 4.3 | 1628 | 5.1 | 3743 | 4.6 |
| 50-54 | 2051 | 4.2 | 1599 | 5.0 | 3656 | 4.5 |
| 55-59 | 1572 | 3.2 | 1456 | 4.6 | 3033 | 3.7 |
| 60-64 | 1462 | 3.0 | 1223 | 3.9 | 2686 | 3.3 |
| 65+ | 2170 | 4.4 | 1974 | 6.2 | 4150 | 5.1 |
Note 1: %Male, %Female and %Total are percentages of each age group over Grand Total
Note 2: Grand total of total includes people with invalid age group and sex
Fig. 12014/15 prevalence rates of Intellectual disability by LGA. NSW, Australia.
Fig. 2Metropolitan Sydney Area Detail of 2014/15 prevalence rates of Intellectual disability by LGA. NSW, Australia.
| Subject | Geography, Planning and Development |
| Specific subject area | Maps the prevalence rates of People with Intellectual Disability across Local Government Areas in NSW, Australia. |
| Type of data | Aggregate data of LGA population and estimated prevalence of people with intellectual disability. |
| How data were acquired | The data presented in this paper was acquired by extracting and aggregating data from a dataset of People with Intellectual Disability (ID) examining access to government health services in NSW Australia. The original cohort was generated by linking a collection of larger population datasets from the following government sectors: disability, health, corrective services and targeted specialist support services in public schools, Public Guardian and Ombudsman services to determine prevalence of People with ID in the population of NSW, Australia. The preceding project was conceived and developed by the the Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW with the cohort profile described in two research papers [ |
| Data format | Aggregated Raw Data |
| Parameters for data collection | Data describing the cohort of People with Intellectual Disability had already been collected as part of larger dataset. The original data was re-analysed to screen by local government area as well as Intellectual disability status. It was then aggregated (under strict ethical requirements individual level data cannot be shared) to population at an LGA level. |
| Description of data collection | The data was collected by extracting data on population numbers and local government area of home address from a larger dataset of a cohort of People with Intellectual Disability which is stewarded by the Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW. Extracted data was aggregated to reveal prevalence rates of People with ID across all Local Government areas in NSW. |
| Data source location | 1. University of Technology Sydney |
| Data accessibility | Hosted with the article |