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.

澳大利亚 Population: Resident: Estimated: Annual: Western Australia: Greater Perth在2017达2,039,041.000 人口，相较于2016的2,019,263.000 人口有所增长。澳大利亚 Population: Resident: Estimated: Annual: Western Australia: Greater Perth数据按每年更新，2006至2017期间平均值为1,863,214.500 人口，共12份观测结果。该数据的历史最高值出现于2017，达2,039,041.000 人口，而历史最低值则出现于2006，为1,576,912.000 人口。CEIC提供的澳大利亚 Population: Resident: Estimated: Annual: Western Australia: Greater Perth数据处于定期更新的状态，数据来源于Australian Bureau of Statistics，数据归类于Global Database的澳大利亚 – Table AU.G002: Estimated Resident Population。

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 University
University 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.

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.

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.

This collection comprises a report developed from the analysis of data output from the POSTool and written by Paula Hooper, Bryan Boruff and Fiona Bull of the Centre for the Built Environment and Health, University of Western Australia. The report examined the spatial distribution of Public Open Space (POS) across the Perth Metropolitan Region (PMR) focusing specifically on parks, park type, park amenity, and park catchment by Local Government Area (LGA). Summary statistics were derived for each LGA in the PMR using the POS Tool and park and park amenity provision compared across the region.

The report outlines the spatial disparities in the provision of parks and park amenity in Perth highlighting where certain LGA’s have underprovided for the citizens they represent. Furthermore, through the examination of park catchments and the population serviced by each park, the report identifies the percent of each LGA’s population which does not have easy access to parks in their neighborhood. The results of this report identify the varying range of park and park amenity provision across the PMR whilst providing an example of the robust analysis which can be conducted using results generated by the POS Tool.

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

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.

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.

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 statistic depicts Australia's gross domestic product (GDP) from 1987 to 2024, with projections up until 2030. In 2024, GDP in Australia amounted to about 1.8 trillion US dollars. See global GDP for a global comparison. Australia’s economy and population Australia’s gross domestic product has been growing steadily, and all in all, Australia and its economic key factors show a well-set country. Australia is among the countries with the largest gross domestic product / GDP worldwide, and thus one of the largest economies. It was one of the few countries not severely stricken by the 2008 financial crisis; its unemployment rate, inflation rate and trade balance, for example, were hardly affected at all. In fact, the trade balance of Australia – a country’s exports minus its imports – has been higher than ever since 2010, with a slight dip in 2012. Australia mainly exports wine and agricultural products to countries like China, Japan or South Korea. One of Australia’s largest industries is tourism, which contributes a significant share to its gross domestic product. Almost half of approximately 23 million Australian residents are employed nowadays, life expectancy is increasing, and the fertility rate (the number of children born per woman) has been quite stable. A look at the distribution of the world population by continent shows that Australia is ranked last in terms of population and population density. Most of Australia's population lives at the coast in metropolitan areas, since parts of the continent are uninhabitable. Unsurprisingly, Australia is known as a country with very high living standards, four of its biggest cities – Melbourne, Adelaide, Sydney and Perth – are among the most livable cities worldwide.

The data were collected to test hypotheses that microplastic concentrations in stormwater drains would be able to be predicted from: (1) the proportions of different land uses in stormwater catchments; (2) catchment population and land area; (3) rainfall preceding sample collection. The data show that microplastic fibres were the most common morphology across all drains, followed by fragments. Most microplastics detected were in the 100-530 µm size range, with lower proportions ≤ 25 µm or > 530 µm. The most common colour was black, followed by red, blue, and green with other colours < 5% of total particle counts. There was no statistically significant variation in microplastic concentrations between or within stormwater catchments. Linear mixed-effects models showed significant positive effects of catchment area, catchment population, and the proportion of industrial land, natural land and public open space on microplastic concentrations. The proportion of residential land had a significant negative effect on microplastic concentrations. The proportion of agricultural land in each catchment, and preceding rainfall, had no effect on microplastic concentrations. The majority of data are presented as a single comma-separated value file with 144 rows representing 3 replicates of 4 size fractions from 12 sampling sites. Samples have unique names and are categorised by Size (4 categories), Drain (6 categories) and Site (12 categories, 2 per Drain). Quantitative data relating to microplastics measurement include: sample volume; raw counts of total microplastics and microplastics separated into fragment, fibre, film, and microbead categories; concentrations of total microplastics and microplastics separated into fragment, fibre, film, and microbead categories; blank corrections (fibres only); corrected raw counts and concentrations of fibres; corrected raw counts and concentrations of total microplastics. Catchment demographic and land use data are: catchment area and population; proportions of land use in residential, industrial, services, agricultural, natural, and public open space categories. Rainfall for the 7 days prior to sample collection is also recorded. A separate comma-separated value file summarises the microplastic colour data, and an image shows aerial photograph maps of each site.

Effective population size (Ne) of seven populations of Notechis scutatus occidentalis around Perth, Western Australia.

1. Population structure must be considered when developing mark-recapture (MR) study designs as the sampling of individuals from multiple populations (or subpopulations) may increase heterogeneity in individual capture probability. Conversely, the use of an appropriate MR study design which accommodates heterogeneity associated with capture-occasion varying covariates due to animals moving between 'states' (i.e. geographic sites) can provide insight into how animals are distributed in a particular environment and the status and connectivity of subpopulations.
2. The Multistate Closed Robust Design was chosen to investigate: 1) the demographic parameters of Indo-Pacific bottlenose dolphins (Tursiops aduncus) subpopulations in coastal and estuarine waters of Perth, Western Australia; and 2) how they are related to each other in a metapopulation. Using four years of year-round photo-identification surveys across three geographic sites, we accounted for heterogeneity of capture probability based on how individuals distributed themselves across geographic sites and characterized the status of subpopulations based on their abundance, survival and interconnection.
3. MSCRD models highlighted high heterogeneity in capture probabilities and demographic parameters between sites. High capture probabilities, high survival and constant abundances described a subpopulation with high fidelity in an estuary. In contrast, low captures, permanent and temporary emigration and fluctuating abundances suggested transient use and low fidelity in an open coastline site.
4. Estimates of transition probabilities also varied between sites, with estuarine dolphins visiting sheltered coastal embayments more regularly than coastal dolphins visited the estuary, highlighting some dynamics within the metapopulation.
5. Synthesis and applications. To date, bottlenose dolphin studies using mark-recapture approach have focussed on investigating single subpopulations. Here, in a heterogeneous coastal-estuarine environment, we demonstrated that spatially structured bottlenose dolphin subpopulations contained distinct suites of individuals and differed in size, demographics and connectivity. Such insights into the dynamics of a metapopulation can assist in local-scale species conservation. The MSCRD approach is applicable to species/populations consisting of recognizable individuals and is particularly useful for characterizing wildlife subpopulations that vary in their vulnerability to human activities, climate change or invasive species.