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.

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

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 ***** Japanese residents were registered in Perth. In the same year, Australia was one of the countries with the highest number of Japanese residents worldwide.

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

As of March 31, 2025, **** percent of the population in Western Australia had private health insurance that covered general treatment. At the same time, around **** percent of the entire Australian population had some form of general treatment cover.

This collection contains statistical data extracted from the published W.A. colonial census reports from 1848 to 1901. The data are presented both as raw Excel spreadsheets and as processed files for use with the SPSS and Nesstar statistical software. These files were compiled and processed by Leanne Den Hartog in 2012 as part of her work for the Western Australian node of the Australian Data Archive.

Data from the 1870 Western Australian colonial census formatted for SPSS and Nesstar software

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

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.

The Meeberrie earthquake is the largest known onshore Australian earthquake. Its magnitude was ML 7.2 and it was felt over a wide area of Western Australia as shown on the isoseismal map below, from Port Hedland in the north to Albany and Norseman in the south.

Damage from the earthquake was small because of the low population density in the epicentral region, but the shaking at Meeberrie homestead was very severe; all the walls of the homestead were cracked, several rainwater tanks burst, and widespread cracking of the ground occurred. Minor non-structural damage was reported in Perth more than 500km away from the epicentre.

澳大利亚 Population: Resident: Estimated: Annual: Western Australia: Rest of Western Australia在2017达536,411.000 人口，相较于2016的536,715.000 人口有所下降。澳大利亚 Population: Resident: Estimated: Annual: Western Australia: Rest of Western Australia数据按每年更新，2006至2017期间平均值为526,243.500 人口，共12份观测结果。该数据的历史最高值出现于2014，达543,685.000 人口，而历史最低值则出现于2006，为473,669.000 人口。CEIC提供的澳大利亚 Population: Resident: Estimated: Annual: Western Australia: Rest of Western Australia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。

This report is a major risk assessment project based on metropolitan Perth, the capital city of Western Australia. Completed in June 2005, the report is the final publication in Geoscience Australia's Cities Project. Approximately 72% of Western Australia's population of around 1.3 million live in the Perth metropolitan area. Significant areas of Perth are situated along the banks of the flood prone Swan River and close to Australia's most active earthquake zone. There are several limestone belts to the north and south of Perth where karst systems have been discovered and the city's coastline suffers from coastal erosion as a result of high winds and fierce storms.

The study aimed at estimating the impact on the Perth community of several sudden-onset natural hazards. The natural hazards considered are both meteorological and terrestrial in origin. The hazards investigated most comprehensively are riverine floods in the Swan and Canning Rivers, severe winds in metropolitan Perth, and earthquakes in the Perth region. Some socioeconomic factors affecting the capacity of the citizens of Perth to recover from natural disaster events have been analysed and the WA data compared with data from other Australian states. Additionally, new estimates of earthquake hazard have been made in a zone of radius around 200km from Perth, extending east into the central Wheatbelt. The susceptibility of the southwest WA coastline to sea level rise from climate change has also been investigated. A commentary on the tsunami risk to WA coastline communities is also included.

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Demographic information of 19 healthcare workers based in Western Australia.

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 P1, P2 and P3 songs respectively. The proportions of each song-type averaged at 21.5, 24.2 and 56% for P1, P2 and P3 occurrence respectively and these ratios could vary by up to ± 8% (95% CI) amongst years. On some occasions animals changed the P3 ISI to be significantly shorter (120–160 s) or longer (220–280 s). Hybrid song patterns occurred where animals combined multiple phrase types into a repeated song. In recent years whales introduced further complexity by splitting song units. This variability of song-type and proportions implies abundance measure for this whale sub population based on song detection needs to factor in trends in song variability to make data comparable between seasons. Further, such variability in song production by a sub population of pygmy blue whales raises questions as to the stability of the song types that are used to delineate populations. The high level of song variability may be driven by an increasing number of background whale callers creating ‘noise’ and so forcing animals to alter song in order to ‘stand out’ amongst the crowd.

Population Ecology of Crocodylus porosus (Schneider 1801) in the Kimberley Region of Western Australia.

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.

This dataset is the June 2022 release of Geoscape Planning for a single SA2 area (Perth City) with SA2 code (51041). Buildings is a spatial dataset which represents Australia's built environment derived from remotely sensed imagery and aggregated data sources. The Buildings dataset has relationships with the G-NAF, Cadastre, Property and Administrative Boundaries products produced by Geoscape Australia. Users should note that these related Geoscape products are not part of Buildings. For more information regarding Geoscape Buildings, please refer to the Data Product Description and the June 2022 Release Notes. Please note: As per the licence for this data, the coverage area accessed by you can not be greater than a single Level 2 Statistical Area (SA2) as defined by the Australian Bureau of Statistics. If you require additional data beyond a single SA2 for your research, please request a quote from AURIN. Buildings is a digital dataset representing buildings across Australia. Data quality and potential capture timelines will vary across Australia based on two categories, each category has been developed based on a number of factors including the probability of the occurrence of natural events (e.g. flooding), population distribution and industrial/commercial activities. Areas with a population greater than 200, or with significant industrial/commercial activity in a visual assessment have been defined as 'Urban' and all other regions have been defined as 'Rural'. This dataset has been restricted to the Perth City SA2 by AURIN.

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 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.