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

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.

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.

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.

U.S. Census Bureau QuickFacts statistics for Perth Amboy city, New Jersey. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

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

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 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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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.

The groundwater resource contained within the sandy aquifers of the Swan Coastal Plain, south-west Western Australia, provides approximately 60 percent of the drinking water for the metropolitan population of Perth. Rainfall decline over the past three decades coupled with increasing water demand from a growing population has resulted in falling dam storage and groundwater levels. Projected future changes in climate across south-west Western Australia consistently show a decline in annual rainfall of between 5 and 15 percent. There is expected to be a reduction of diffuse recharge across the Swan Coastal Plain. This study aims to quantify the change in groundwater recharge in response to a range of future climate and land cover patterns across south-west Western Australia. Modelling the impact on the groundwater resource of potential climate change was achieved with a dynamically linked unsaturated/saturated groundwater model. A vertical flux manager was used in the unsaturated zone to estimate groundwater recharge using a variety of simple and complex models based on climate, land cover type (e. g. native trees, plantation, cropping, urban, wetland), soil type, and taking into account the groundwater depth. In the area centred on the city of Perth, Western Australia, the patterns of recharge change and groundwater level change are not consistent spatially, or consistently downward. In areas with land-use change, recharge rates have increased. Where rainfall has declined sufficiently, recharge rates are decreasing, and where compensating factors combine, there is little change to recharge. In the southwestern part of the study area, the patterns of groundwater recharge are dictated primarily by soil, geology and land cover. In the sand-dominated areas, there is little response to future climate change, because groundwater levels are shallow and much rainfall is rejected recharge. Where the combination of native vegetation and clayey surface soils restricts possible infiltration, recharge rates are very sensitive to reductions in rainfall. In the northern part of the study area, both climate and land cover strongly influence recharge rates. Recharge under native vegetation is minimal and is relatively higher where grazing and pasture systems have been introduced after clearing of native vegetation. In some areas, the recharge values can be reduced to almost zero, even under dryland agriculture, if the future climate becomes very dry.

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.