Historical dataset of population level and growth rate for the Sunshine Coast, Australia metro area from 1950 to 2025.

The SA1 Total Population - characterised by sex for the Sunshine Coast as at Census night 2021.

This dataset is subject to the terms and conditions set out within all applicable Sunshine Coast Council data license agreement(s) (incl. the Sunshine Coast Council Approval for SRC GIS Dataset Agreement, within which data structure, access, maintenance and custodianship is defined). This dataset is not to be used as a surrogate for survey-accurate information. Users of this dataset acknowledge feature locations are approximations only, and attributes reflect the data author's best understanding at the time of record generation and at subsequent update intervals. Attribute and positional accuracies vary within this dataset, and are subject to the methodology(ies) adopted for data capture and subsequent revision(as recorded against each feature). XY positional error values are not given. While every care is taken to ensure the accuracy of this product, neither the Sunshine Coast Council nor the State of Queensland makes any representations or warranties about its accuracy, reliability, completeness or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs that may occur as a result of the product being inaccurate or incomplete in any way or for any reason. Copyright Crown & Council Copyright Reserved.

Median Total Household Income Per Week per SA1 - 2016 Census.

Labels show the average household size (average number of people).

The manual groupings allow for easy comparison between census captures. The maximum value indicates the highest median income value for the Sunshine Coast Region in 2016.

(c) Commonwealth of Australia, licenced under a Creative Commons Attribution 2.5 Australia licence. Based on Australian Bureau of Statistics (ABS) data.

This statistic displays the average annual growth rate in Australia in the period from 2017 to 2018. On average, the population of the Sunshine Coast in Australia grew by 2.58 percent between 2017 and 2018.

This web service contains a collection of demographic information layers sourced from ABS data, including the 2006, 2011, and 2016 Census. Themes include Population, Language, Age, Education, Income, and Indigenous Status. Contact Sunshine Coast Council: Ph: (07) 5475 7272 Email: mail@sunshinecoast.qld.gov.au Website: https://www.sunshinecoast.qld.gov.au

Projections of the total population for Queensland statistical areas level 4 (SA4s), SA3s and SA2s, and local government areas.

This web service contains a collection of demographic information layers sourced from ABS data, including the 2006, 2011, and 2016 Census. Themes include Population, Language, Age, Education, Income, and Indigenous Status. Contact Sunshine Coast Council: Ph: (07) 5475 7272 Email: mail@sunshinecoast.qld.gov.au Website: https://www.sunshinecoast.qld.gov.au

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.

Population of persons aged 65-74 years. Population symbolised via 5 quantiles (each quantile contains one fifth of the total number of SA1s, and each quantile is represented by a unique colour).

Sourced from ABS Geopackage: CLDA (Cultural Language and Diversity) - provided via SA1 boundaries.

(c) Commonwealth of Australia, licenced under a Creative Commons Attribution 2.5 Australia licence. Based on Australian Bureau of Statistics (ABS) data. ABS data used with permission from the Australian Bureau of Statistics (www.abs.gov.au)

The Australian senior living industry is experiencing robust growth, projected to reach a market size of $6.03 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 8.17% from 2025 to 2033. This expansion is driven by several key factors. Australia's aging population is a significant driver, with a growing number of individuals requiring assisted living, independent living, memory care, and nursing care facilities. Increased disposable incomes and a rising preference for quality senior living options, emphasizing comfort, social engagement, and specialized care, further fuel market growth. Government initiatives aimed at supporting aged care are also contributing to this upward trajectory. The industry is segmented geographically, with cities like Melbourne, Perth, and the Sunshine Coast showing strong demand, reflecting diverse population densities and regional economic conditions. Competition is intense, with both large national players like Stockland and Lend Lease, and smaller, specialized providers like Oak Tree Group and The Village vying for market share. This competitive landscape fosters innovation and improved service offerings within the sector. Despite the positive growth outlook, the sector faces certain challenges. Increasing operating costs, including staffing shortages and rising property values, pose significant constraints. Furthermore, regulatory compliance and the need to maintain high standards of care add complexity to business operations. However, the industry's consistent growth trajectory suggests that these challenges are being addressed through strategic investments in technology, efficient operational models, and innovative care delivery methods. The ongoing demand for high-quality senior living facilities, coupled with a supportive regulatory environment, positions the Australian market for continued expansion in the coming years. The diverse range of service offerings, from independent living to specialized memory care, caters to the evolving needs of the aging population, solidifying the long-term viability and growth potential of this important sector. Recent developments include: August 2023: Aware Super has invested an undisclosed amount to acquire the remaining 30% it does not own in Oak Tree Retirement Villages. This senior housing platform owns 48 complexes along Australia's Eastern seaboard., February 2023: Lendlease 'Grove' extension will deliver 45 new two- and three-bedroom independent villas with internal garage access and private covered alfresco entertaining. The project will also include a separate 124-bed residential aged care facility delivered by Arcare Aged Care, offering a continuum of care in high demand in the Ngunnawal region.. Key drivers for this market are: 4., Aging Population4.; Increased Longevity. Potential restraints include: 4., Aging Population4.; Increased Longevity. Notable trends are: Increasing Senior Population and Life Expectancy driving the market.

Population of persons identiying as Torres Strait Islander, per SA1. Population symbolised via 5 quantiles (each quantile contains one fifth of the total number of SA1s, and each quantile is represented by a unique colour).

Sourced from ABS Geopackage: CLDA (Cultural Language and Diversity) - provided via SA1 boundaries.

(c) Commonwealth of Australia, licenced under a Creative Commons Attribution 2.5 Australia licence. Based on Australian Bureau of Statistics (ABS) data. ABS data used with permission from the Australian Bureau of Statistics (www.abs.gov.au)

(c) Commonwealth of Australia, licenced under a Creative Commons Attribution 2.5 Australia licence. Based on Australian Bureau of Statistics (ABS) data. ABS data used with permission from the Australian Bureau of Statistics (www.abs.gov.au)

This data collection contains all currently published nucleotide (DNA/RNA) and protein sequences from the Australian research institution,University of the Sunshine Coast.The nucleotide (DNA/RNA) and protein sequences have been sourced through the European Nucleotide Archive (ENA) and Universal Protein Resource (UniProt), databases that contains comprehensive sets of nucleotide (DNA/RNA) and protein sequences from all organisms that have been published by the International Research Community.

The red-legged pademelon (Thylogale stigmatica), is a small native macropod (2.5-9 kg), found on the north/ eastern coast of Australia and in New Guinea. Preferring tropical and subtropical rainforest habitats, wet sclerophyll forest and occasionally deciduous vine thickets. Red-legged pademelons have a varied diet consisting of fruits, leaves, bark, fungus and insects.
Under the IUCN pademelons are listed as ?least concern? although population numbers are decreasing (IUCN). Mary Cairncross is an isolated remnant reserve and this survey aims to build our understanding of population numbers and ensure we are aware of declines in the local population.

Highest year of school completed - Year 12 - As percentage of persons per SA1. Population symbolised as percentage groupings via 5 quantiles (each quantile contains one fifth of the total number of SA1s, and each quantile is represented by a unique colour).

Sourced from ABS Geopackage: CLDA (Cultural Language and Diversity) - provided via SA1 boundaries.

(c) Commonwealth of Australia, licenced under a Creative Commons Attribution 2.5 Australia licence. Based on Australian Bureau of Statistics (ABS) data. ABS data used with permission from the Australian Bureau of Statistics (www.abs.gov.au)

Deleterious mutation load in human populations; Conservation genetics of Dingoes; Genomics of fish and marine invetebrate populations.

1. Sexual size dimorphism (SSD) is pervasive across taxa and reflects differences in the effects of sexual and natural selection on body size between the sexes. However, disentangling the complex eco-evolutionary interactions between these two mechanisms remains a major challenge for biologists.
2. Here, we combine macro-evolutionary (between-species), local evolutionary (between-population) and fine-scale evolutionary (within-population) patterns of SSD to explore how sexual and natural selection interact and shape the evolution of SSD in Australian agamid lizards. Australian agamid lizards show substantial variation in SSD, ecological traits and species density making them an ideal study system to address this question.
3. At the between-species level, population density, ecological generalism and mean species size significantly predict SSD variation, however, only ecological generalism was found to significantly explain variation in larger than average male-biased SSD. At the population level, density positively correlated with SSD in native habitats, but not city park habitats. Last, agonistic behaviour acted as the primary driver of SSD at the within-population level.
4. Our results indicate how sexual and natural selection can interact at different evolutionary scales, and show the importance of considering both selective mechanisms when investigating patterns of SSD.

Highest year of school completed - Year 8 or below - Count as a % of Total SA1 Population. Population symbolised as percentage groupings via 5 quantiles (each quantile contains one fifth of the total number of SA1s, and each quantile is represented by a unique colour).

Sourced from ABS Geopackage: CLDA (Cultural Language and Diversity) - provided via SA1 boundaries.

(c) Commonwealth of Australia, licenced under a Creative Commons Attribution 2.5 Australia licence. Based on Australian Bureau of Statistics (ABS) data. ABS data used with permission from the Australian Bureau of Statistics (www.abs.gov.au)