Chart and table of population level and growth rate for the Perth, Australia metro area from 1950 to 2025.

Population: Resident: Estimated: Annual: Western Australia: Greater Perth data was reported at 2,039,041.000 Person in 2017. This records an increase from the previous number of 2,019,263.000 Person for 2016. Population: Resident: Estimated: Annual: Western Australia: Greater Perth data is updated yearly, averaging 1,863,214.500 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 2,039,041.000 Person in 2017 and a record low of 1,576,912.000 Person in 2006. Population: Resident: Estimated: Annual: Western Australia: Greater Perth data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G002: Estimated Resident Population.

As of June 2023, in the state of Western Australia in Australia, about 7.7 percent of the population was between 35 and 39 years old. In comparison, just 1.9 percent of the population was over the age of 85.

Population: Resident: Estimated: Annual: Western Australia: Rest of Western Australia data was reported at 536,411.000 Person in 2017. This records a decrease from the previous number of 536,715.000 Person for 2016. Population: Resident: Estimated: Annual: Western Australia: Rest of Western Australia data is updated yearly, averaging 526,243.500 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 543,685.000 Person in 2014 and a record low of 473,669.000 Person in 2006. Population: Resident: Estimated: Annual: Western Australia: Rest of Western Australia data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G002: Estimated Resident Population.

As of October 2024, approximately 7,600 Japanese residents were registered in Perth. In the same year, Australia was one of the countries with the highest number of Japanese residents worldwide.

Original provider: Dr Belinda Cannell, Murdoch University

Dataset credits: Data provider Murdoch University - Biological Sciences and Biotechnology Originating data center Satellite Tracking and Analysis Tool (STAT) Project partner Murdoch UniversityUniversity of NSW Project sponsor or sponsor description This project has been funded under the Australian Research Council Linkage Project Scheme. Funds have also been contributed by Department of Environment and Conservation,Fremantle Ports, Department of Defence, Tiwest and the Winifred Violet Scott Trust fund.

Abstract: Little Penguins from Penguin and Garden islands in Perth, Western Australia, are tracked to determine the areas in which they travel and feed throughout the breeding season. Once the areas they regularly use are determined, the threats the penguins are exposed to, and their likelihood of occurrence, can be elucidated. This forms part of a broader project to determine the population viability analysis of the Little Penguins in the Perth metropolitan region.

Supplemental information: Visit STAT's project page for additional information.

This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.

The workforce dataset contains monthly workforce sizes from July 2005 to June 2018 in the eight Australian capital cities with estimated stratification by indoor and outdoor workers. It is included in both csv and rda format. It includes variables for:

Year Month GCCSA (Greater Capital City Statistical Area, which is used to define capital cities) Date (using the first day of the month) fulltime: Fulltime workers parttime: Parttime workers n. Overall workers outorin. Estimated indoor or outdoor status

This data are derived from the Australian Bureau of Statistics (ABS) Labour Force, Australia, Detailed, LM1 dataset: LM1 - Labour force status by age, greater capital city and rest of state (ASGS), marital status and sex, February 1978 onwards (pivot table). Occupational data from the 2006, 2011 and 2016 Census of Population and Housing (ABS Census TableBuilder Basic data) were used to stratify this dataset into indoor and outdoor classifications as per the "Indooroutdoor classification.xlsx" file. For the Census data, GCCSA for the place of work was used, not the place of usual residence.

Occupations were defined by the Australian and New Zealand Standard Classification of Occupations (ANZSCO). Each 6-digit ANZSCO occupation (the lowest level classification) was manually cross-matched with their corresponding occupation(s) from the Canadian National Occupation System (NOC). ANZSCO and NOC share a similar structure, because they are both derived from the International Standard Classification of Occupations. NOC occupations listed with an “L3 location” (include main duties with outdoor work for at least part of the working day) were classified as outdoors, including occupations with multiple locations. Occupations without a listing of "L3 location" were classified as indoors (no outdoor work). 6-digit ANZSCO occupations were then aggregated to 4-digit unit groups to match the ABS Census TableBuilder Basic data. These data were further aggregated into indoor and outdoor workers. The 4-digit ANZSCO unit groups’ indoor and outdoor classifications are listed in "Indooroutdoor classification.xlsx."

ANZSCO occupations associated with both indoor and outdoor listings were classified based on the more common listing, with indoors being selected in the event of a tie. The cross-matching of ANZSCO and NOC occupation was checked against two previous cross-matches used in published Australian studies utilising older ANZSCO and NOC versions. One of these cross-matches, the original cross-match, was validated with a strong correlation between ANZSCO and NOC for outdoor work (Smith, Peter M. Comparing Imputed Occupational Exposure Classifications With Self-reported Occupational Hazards Among Australian Workers. 2013).

To stratify the ABS Labour Force detailed data by indoors or outdoors, workers from the ABS Census 2006, 2011 and 2016 data were first classified as indoors or outdoors. To extend the indoor and outdoor classification proportions from 2005 to 2018, the population counts were (1) stratified by workplace GCCSA (standardised to the 2016 metrics), (2) logit-transformed and then interpolated using cubic splines and extrapolated linearly for each month, and (3) back-transformed to the normal population scale. For the 2006 Census, workplace location was reported by Statistical Local Area and then converted to GCCSA. This interpolation method was also used to estimate the 1-monthly worker count for Darwin relative to the rest of Northern Territory (ABS worker 1-monthly counts are reported only for Northern Territory collectively).

ABS data are owned by the Commonwealth Government under a CC BY 4.0 license. The attached datasets are derived and aggregated from ABS data.

This statistic displays the total fertility rate in Western Australia from 2009-2010 to 2017-2018. According to the source, on average about 1.81 children were born per woman in Western Australia in 2017-2018.

Population Structure and Management of the Humpback Whale (Megaptera novaeangliae) in Western Australia: Investigation into the Genetic Structure of Antarctic Area Group IV (D Stock).

A total of 1737 Pinctada maxima samples were collected from eight distinct populations, six in Australia and two in Indonesia. The Australian populations were sampled from Darwin in the Northern …Show full descriptionA total of 1737 Pinctada maxima samples were collected from eight distinct populations, six in Australia and two in Indonesia. The Australian populations were sampled from Darwin in the Northern Territory and the Lacepede Islands, 80 Mile Beach - shallow water, 80 Mile Beach - deep water, Port Hedland and Exmouth Gulf in Western Australia. The Indonesian populations were sampled from Madura Island and Sumbawa Island.

Samples of both adductor muscle and mantle tissue were collected from Pinctada maxima oysters of various sizes aboard pearling industry vessels in Western Australia and the Northern Territory, between February 1998 and November 1999. Whole shell samples from the Indonesian sites, collected in November 1999, were delivered by road to Gondol Fisheries Station and held in flowing sea water tanks prior to dissection.

The entire soft tissues from small spat were removed from the shell. Samples were either snap frozen in liquid nitrogen or preserved in 70% ethanol immediately following collection.

Assays were developed for eight highly variable microsatellites markers and an mtDNA marker for rapid assessment of genetic variation in pearl oysters. These assays were used to screen the eight populations of P. maxima (including different juvenile age classes for the Western Australian and Northern Territory populations). It was demonstrated that the Western Australian populations belong to one stock with large effective population sizes and have little or no recruitment from Indonesia and a reasonable degree of exchange with Northern Territory. A basic technology for assessment of genetic variation in spat and for future use in improving cultured pearl oyster stocks was developed.

Successful description of the population genetic structure for different age classes of Pinctada maxima in Western Australia and Northern Territory has provided a basis for improved maintenance of a productive and valuable fishery through improved stock definition and determination of levels of dispersal among populations. The development of highly variable DNA markers provides a base technology to assist the choice of sources of broodstock for hatcheries and future management of cultured populations as the Pearling Industry increasingly relies on hatchery produced spat. The objectives of this research were: 1. To develop assays for regions of highly variable DNA (microsatellites) and mtDNA markers for rapid assessment of genetic variation in pearl oysters.

1. To survey up to eight populations of P. maxima throughout the Western Australian coast, including different juvenile age classes, using up to ten highly variable markers.

2. To infer the level of dispersal between populations and the effective population size contributing to the next generation from the genetic data and identify the management implications of these data.

3. To develop the basic technology for assessment of genetic variation in spat and for future use in improving cultured pearl oyster stocks. Initially two sites were collected in each of 80 Mile shallow and 80 Mile deep populations. The 80 Mile shallow collections were made almost continuously between ten and eighteen mile beach and the subsets were fused into one sample. The 80 Mile deep collections were made from Cape Bossut and Compass Rose sites, the latter being more offshore than the former. These two sites showed no significant microsatellite frequency differences and were also fused.

In 1998, samples were collected from Australian waters only and consisted of animals from three different year classes defined by dorso-ventral shell length, 0+ spat (1-60mm), 1+ spat (61- 120mm) and adults (>120 mm). In 1999 a second set of 0+ and 1+ spat were collected from four of the Western Australian populations (the Lacepede Islands, 80 Mile Beach, Port Hedland and Exmouth Gulf) to allow a comparison of gene frequencies for a single cohort over two successive years.

Sea noise collected over 2003 to 2017 from the Perth Canyon, Western Australia was analysed for variation in the South Eastern Indian Ocean pygmy blue whale song structure. The primary song-types were: P3, a three unit phrase (I, II and III) repeated with an inter-song interval (ISI) of 170–194 s; P2, a phrase consisting of only units II & III repeated every 84–96 s; and P1 with a phrase consisting of only unit II repeated every 45–49 s. The different ISI values were approximate multiples of each other within a season. When comparing data from each season, across seasons, the ISI value for each song increased significantly through time (all fits had p < 0.001), at 0.30 s/Year (95%CI 0.217–0.383), 0.8 s/Year (95%CI 0.655–1.025) and 1.73 s/Year (95%CI 1.264–2.196) for the

The Australian senior living market, valued at $6.03 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 8.17% from 2025 to 2033. This significant expansion is driven by several key factors. The aging Australian population, with a rising proportion of individuals aged 65 and over requiring assisted living arrangements, is a primary driver. Increased disposable incomes among older Australians and a growing preference for high-quality, amenity-rich retirement communities further fuel market demand. Government initiatives aimed at supporting aged care and improving access to senior living facilities also contribute to market growth. The market is segmented by property type (Assisted Living, Independent Living, Memory Care, Nursing Care) and location, with significant demand across major cities like Melbourne, Perth, and regional areas such as the Sunshine Coast and Hobart. Competition is intense, with established players like Aveo, RSL LifeCare, and Stockland vying for market share alongside smaller, specialized operators. The market's future trajectory is influenced by several trends. The increasing demand for specialized care, particularly for individuals with dementia or Alzheimer's disease, is driving growth in the memory care segment. Technological advancements, such as telehealth and smart home technology, are being integrated into senior living facilities to enhance resident care and independent living capabilities. Furthermore, a growing focus on sustainability and environmentally friendly practices within the industry is shaping future developments. While the market faces challenges, including rising construction costs and labor shortages, the overall outlook remains positive, driven by the long-term demographic trends and increasing demand for high-quality senior living options. The projected market size in 2033, extrapolated from the provided data, indicates a considerable expansion opportunity for both existing and new market entrants. This comprehensive report provides a detailed analysis of the booming Australian senior living market, encompassing the period from 2019 to 2033. With a focus on the estimated year 2025 and a forecast extending to 2033, this study offers invaluable insights for investors, operators, and stakeholders navigating this dynamic sector. We delve deep into market size, segmentation, trends, and future growth potential, considering key players like Aveo, RSL LifeCare, and Stockland, among others. This report utilizes data from the historical period (2019-2024) and establishes a robust base year of 2025. 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., Inadequate Staffing. Notable trends are: Increasing Senior Population and Life Expectancy driving the market.

A total of 1737 Pinctada maxima samples were collected from eight distinct populations, six in Australia and two in Indonesia. The Australian populations were sampled from Darwin in the Northern Territory and the Lacepede Islands, 80 Mile Beach - shallow water, 80 Mile Beach - deep water, Port Hedland and Exmouth Gulf in Western Australia. The Indonesian populations were sampled from Madura Island and Sumbawa Island.Samples of both adductor muscle and mantle tissue were collected from Pinctada maxima oysters of various sizes aboard pearling industry vessels in Western Australia and the Northern Territory, between February 1998 and November 1999. Whole shell samples from the Indonesian sites, collected in November 1999, were delivered by road to Gondol Fisheries Station and held in flowing sea water tanks prior to dissection. The entire soft tissues from small spat were removed from the shell. Samples were either snap frozen in liquid nitrogen or preserved in 70% ethanol immediately following collection.Assays were developed for eight highly variable microsatellites markers and an mtDNA marker for rapid assessment of genetic variation in pearl oysters. These assays were used to screen the eight populations of P. maxima (including different juvenile age classes for the Western Australian and Northern Territory populations). It was demonstrated that the Western Australian populations belong to one stock with large effective population sizes and have little or no recruitment from Indonesia and a reasonable degree of exchange with Northern Territory. A basic technology for assessment of genetic variation in spat and for future use in improving cultured pearl oyster stocks was developed.Successful description of the population genetic structure for different age classes of Pinctada maxima in Western Australia and Northern Territory has provided a basis for improved maintenance of a productive and valuable fishery through improved stock definition and determination of levels of dispersal among populations. The development of highly variable DNA markers provides a base technology to assist the choice of sources of broodstock for hatcheries and future management of cultured populations as the Pearling Industry increasingly relies on hatchery produced spat. The objectives of this research were:1. To develop assays for regions of highly variable DNA (microsatellites) and mtDNA markers for rapid assessment of genetic variation in pearl oysters.2. To survey up to eight populations of P. maxima throughout the Western Australian coast, including different juvenile age classes, using up to ten highly variable markers.3. To infer the level of dispersal between populations and the effective population size contributing to the next generation from the genetic data and identify the management implications of these data.4. To develop the basic technology for assessment of genetic variation in spat and for future use in improving cultured pearl oyster stocks. Initially two sites were collected in each of 80 Mile shallow and 80 Mile deep populations. The 80 Mile shallow collections were made almost continuously between ten and eighteen mile beach and the subsets were fused into one sample. The 80 Mile deep collections were made from Cape Bossut and Compass Rose sites, the latter being more offshore than the former. These two sites showed no significant microsatellite frequency differences and were also fused.In 1998, samples were collected from Australian waters only and consisted of animals from three different year classes defined by dorso-ventral shell length, 0+ spat (1-60mm), 1+ spat (61- 120mm) and adults (>120 mm). In 1999 a second set of 0+ and 1+ spat were collected from four of the Western Australian populations (the Lacepede Islands, 80 Mile Beach, Port Hedland and Exmouth Gulf) to allow a comparison of gene frequencies for a single cohort over two successive years.

The Australian dingo is a relatively recent anthropogenic addition to the Australian fauna, which spread rapidly across the continent and has since widely interbred with modern dogs. Genetic studies of dingoes have given rise to speculation about their entry to the continent and subsequent biogeographic effects, but few studies of their contemporary population structure have been conducted. Here we investigated the dingo ancestry and population structure of free-living dogs in western Victoria and contrasted it with a wider southern Australian sample. We wished to determine whether their geographic isolation was mirrored in genetic isolation. To address this question, we analysed genetic data using Bayesian clustering and discriminant analysis of principal components, and summarised genetic diversity at the population and individual levels. Upon finding low genetic diversity in western Victoria, we tested for a recent genetic bottleneck. The broader southern Australia sample (n=1,138) c...

This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Project A7 - "Monitoring population dynamics of ‘Western’ Right Whales off Southern Australia". For …Show full descriptionThis record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Project A7 - "Monitoring population dynamics of ‘Western’ Right Whales off Southern Australia". For specific data outputs from this project, please see child records associated with this metadata. Continuation (since 1993) of annual aerial surveys, to include counts and identification photographs, of Southern Right Whales between Cape Leeuwin (WA) and Ceduna (SA), where wintering animals come close to the coast – adult females to calve, at approximately three-year intervals, other adults and juveniles less regularly. The area is the main wintering ground of a major ‘western’ subpopulation of ‘Australian’ right whales, differing in number and extent of recovery (from 19th century hunting) from an ‘eastern’ subpopulation which so far shows little if any recovery. Counts allow estimation of population trend and current numbers; identification photographs allow estimation of life history parameters. This project serves to implement a very high priority action in the Australian Government’s Conservation Management Plan for Southern Right Whale (2011-21) – Action Area B1: Measuring and monitoring population recovery; continue to obtain and refine population abundance and trends for the south-west population. Planned Outputs • Counts of animals (by class – cows accompanied by calves, other animals, by position (GPS) and time. • Head and (where appropriate) body photographs, by position and time. • Information on Biologically Important Areas for Southern Right Whales in the area surveyed. • ‘Progress’ and ‘Final’ reports, annually • Report annually to the Scientific Committee of the International Whaling Commission. • Public information through press releases and on the Museum website.

Aerial surveys of southern right whales (Eubalaena australis) were undertaken off the southern Australian coast to monitor the recovery of this endangered species following extreme 19th and 20th Century commercial whaling. The aerial survey was undertaken in the coastal waters from Perth (Western Australia) to Ceduna (South Australia) between the 12th and 19th August 2022, to maintain the annual series of surveys and inform the long-term population trend. The survey resulted in a total 526 whales sighted, consisting of 247 cow-calf pairs, 31 unaccompanied adults and 1 yearling. The ‘western’ population of southern right whales in Australian waters is increasing in size (~5.3% per year based on female/calf pairs and a population estimate of 2675 whales) based on the long-term population trend data from the annual aerial surveys. This represents the majority of the Australian population given the very low numbers in the ‘eastern’ population. The 2022 surveys recorded the lowest number of unaccompanied animals (i.e. males and females without a calf) ever throughout the time-series of the annual aerial surveys since 1993 when survey coverage between Cape Leeuwin and Ceduna first began. Across this time series, there is a particularly notable decline in sightings of unaccompanied animals over the past five years. It is currently unclear what factors account for the decline in these sightings or may influence the variation in numbers of unaccompanied animals on the southern Australian coast. Lower than expected counts in the long-term data may provide evidence of a slowing population growth rate, which can only be assessed by continued annual population surveys to assess population trend data.

This statistic displays the share of the population suffering from asthma in Western Australia from 2004 to 2015. In 2011-2012, about 9.7 percent of people in Western Australia suffered from asthma.

With 109.9 men per one hundred women in the city, the greater Darwin area in Australia has the highest sex ratio. This is in stark contrast to the demographics of the other major cities in Australia which have more women than men. This is consistent with the fact that more than two thirds of all women between 25 and 64 participating in the workforce.Despite this fact, there is still some disparity between men and women in high level position as women are multiple times more likely to be sexually assaulted while men are much more likely to be victims of murder.The perpetrators of crimes are also much more likely to be men as there are

This study assessed sea lion pup production at 9 breeding sites in Western Australia (ranging from Houtman Abrolhos Islands to Six Mile Island at the start of Great Australian Bight) from 1988 to 2001 to estimate population size overall. Trends in pup production, pup mortality and the timing of the breeding season were monitored to gain an understanding of population dynamics across the range of the species in Western Australia.

The influence of environmental variables, in particular activity of the Leeuwin Current, in demographic processes was also investigated.

As of August 22, 2022, over 80 percent of adults in Western Australia had been vaccinated with three doses of a COVID-19 vaccine. In comparison, less than 60 percent of Queensland population aged 16 years and over and received three doses of a COVID-19 vaccine.