Population projection data for New South Wales to the year 2031. Data is provided at Local Government Area (LGA) level.

This layer shows the population of each age group in 2020, categorized by the LGA boundary.Source: ABS https://www.abs.gov.au/statistics/people/population/regional-population-age-and-sexEPSG: 7855

ABS Census data extract - G09 COUNTRY OF BIRTH OF PERSON BY AGE providing a breakdown of population at LGA level and by:age groupscountry of birth of person(a)Australia(b)China (excludes SARs and Taiwan)(c)Hong Kong (SAR of China)(c)Born elsewhere(d)This data is based on place of usual residence.(a) This list consists of the most common 50 Country of Birth responses reported in the 2016 Census and 2011 Census.(b) Includes 'Australia', 'Australia (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec'.(c) Special Administrative Regions (SARs) comprise 'Hong Kong (SAR of China)' and 'Macau (SAR of China)'. (d) Includes countries not identified individually, 'Inadequately described', and 'At sea'. Excludes not stated.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

Census employment and income data for persons working in creative industries and creative occupations.

This dataset consists of 14 individual datasets that underpin the interactive dashboards on the project's Data Tables webpage.

Project background:

Australian cultural and creative activity: A population and hotspot analysis is an Australian Research Council Linkage project (LP160101724) being undertaken by QUT and the University of Newcastle, in partnership with Arts Queensland, Create NSW, Creative Victoria, Arts South Australia and the Western Australian Department of Local Government, Sport and Cultural Industries.

This comprehensive project aims to grasp the contemporary dynamics of cultural and creative activity in Australia. It brings together population-level and comparative quantitative and qualitative analyses of local cultural and creative activity. The project will paint a complete national picture, while also exploring the factors that are producing local and regional creative hotspots.

Creative hotspots for study were selected in consultation with state research partners:

Queensland – Cairns, Sunshine Coast + Noosa, Gold Coast, Central West Queensland
New South Wales – Coffs Harbour, Marrickville, Wollongong, Albury
Victoria – Geelong + Surf Coast, Ballarat, Bendigo, Wodonga
Western Australia – Geraldton, Fremantle, Busselton, Albany + Denmark
South Australia – to be confirmed shortly

Statistical summaries drawn from a diverse range of data sources including the Australian Census, the Australian Business Register, IP Australia registration data, infrastructure availability lists and creative grants and rights payments as well as our fieldwork, inform hotspot reports.

Urban Centres and Localities (UCL)

Urban Centres and Localities (UCLs) represent areas of concentrated urban development with populations of 200 people or more. These areas of urban development are primarily identified using dwelling and population density criteria using data from the 2021 Census. UCLs are not an official definition of towns.

UCLs can cross state or territory boundaries, however in these cases they are split into two parts so that data can still be aggregated to the state and territory level. For example, the UCL of Albury - Wodonga consists of Albury – Wodonga (Albury Part) and Albury – Wodonga (Wodonga Part).

Areas in a state or territory that are not included in an UCL are considered to be ‘rural’ and combined into the category: ‘Remainder of State/Territory’.

Using UCLs with Census data

UCLs are designed for the analysis of statistical data, particularly from the Census. The 200 minimum population size allows users to access cross classified Census data for these areas without the resulting counts becoming too small for use.

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Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

Data source: ABSEPSG: 7855Socio-Economic Indexes for Areas (SEIFA) is an ABS product that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census of Population and Housing.SEIFA 2016 has been created from Census 2016 data and consists of four indexes: The Index of Relative Socio-economic Disadvantage (IRSD); The Index of Relative Socio-economic Advantage and Disadvantage (IRSAD); The Index of Education and Occupation (IEO); The Index of Economic Resources (IER).Each index is a summary of a different subset of Census variables and focuses on a different aspect of socio-economic advantage and disadvantage.SEIFA indexes1.Index of Relative Socio-economic Advantage / Disadvantage (IRSAD)A composite index where lower scores indicate more disadvantaged areas and higher scores indicate more advantaged areas.This index is constructed using a number of different variables that indicate both advantage (e.g., high income, having a degree qualification) and disadvantage (e.g., unemployment status, low income, number of bedrooms)2.Index of Relative Socio-economic Disadvantage (IRSD)Identifies areas with lower educational attainment, people in low-skilled occupations, low employment and other indicators of disadvantage.This index ranks areas from most disadvantaged to least disadvantaged3.Index of Economic Resources (IER)Includes variables such as rent paid, household income and mortgage payments4.Index of Education and Occupation (IEO)Includes education and occupation variablesSource: SEIFA