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The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Australia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics
This data set contains the Australian Bureau of Statistics population data for Australian states and territories. Population data was collected as part of national census’ in 1991, 1996, 2001, 2006 and 2011. Data presented is the total population for all collection districts by place of enumeration. District Boundaries differed for each census and therefore were re-projected onto the 2011 population mesh blocks to standardise the spatial extent of the reporting areas. Given the focus of this project, population data was clipped by a 50km coastal buffer.
Note: population data for census’ 1991 – 1996 - 2001 was purchased by NESP and is made publically available through by NESP
Note: population data for 2006 and 2011 was downloaded through the ABS webportal. http://www.abs.gov.au/websitedbs/censushome.nsf/home/tablebuilder?opendocument&navpos=240
Note. 2006 Census district boundaries were downloaded from the ABS website http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/2919.0.55.001Main+Features1Aug%202006?OpenDocument and 2011 population mesh blocks http://www.abs.gov.au/ausstats/abs@.nsf/mf/1270.0.55.001
This data contains geographical information in shape files that represent the population density in Australia, from 1991 to 2011. The data contains the summary polygon, state_code, cd_code19, 91_pop_dat (population count), area and density (in persons per km^2). For other data sets the count will be 96_pop_dat, 2001_pop_dat, 2006_pop_dat and 2011_pop_dat.
In June 2022, it was estimated that around 7.3 percent of Australians were aged between 25 and 29, and the same applied to people aged between 30 and 34. All in all, about 55 percent of Australia’s population was aged 35 years or older as of June 2022. At the same time, the age distribution of the country also shows that the share of children under 14 years old was still higher than that of people over 65 years old.
A breakdown of Australia’s population growth
Australia is the sixth-largest country in the world, yet with a population of around 26 million inhabitants, it is only sparsely populated. Since the 1970s, the population growth of Australia has remained fairly constant. While there was a slight rise in the Australian death rate in 2022, the birth rate of the country decreased after a slight rise in the previous year. The fact that the birth rate is almost double the size of its death rate gives the country one of the highest natural population growth rates of any high-income country.
National distribution of the population
Australia’s population is expected to surpass 28 million people by 2028. The majority of its inhabitants live in the major cities. The most populated states are New South Wales, Victoria, and Queensland. Together, they account for over 75 percent of the population in Australia.
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Population density metrics for 2011 Statistical Area Level 2 (SA2) within 2011 Greater Capital City Statistical Areas (GCCSA), including SA2 Population-weighted density (PWD) for 2011 and 2014, PWD change 2011-2014, and ERP population counts by density classes. Selected Density Classes were based on the Australian Population Density Grid published by the ABS, December 2014 (cat. no. 1270.0.55.007). Corresponding population metrics for 2011 GCCSAs. PWD using standardised 1km grid cells provides a more comparable measure of the density in larger regions. It does this by weighting the density using the proportion of population living at that density. In this way the density measure reflects the density at which people actually live. This removes the effect of large unpopulated areas that may be within the regions being compared. In this way comparisons between regions are more valid.
The map service can be viewed at http://soe.terria.io/#share=s-AgXEN0N0Q95icRW7M9JIC9IYBdE
Downloadable spatial data also available below.
Map prepared by the ABS and presented as Figure BLT3 in Built environment theme of the 2016 State of the Environment Report, available at http://www.soe.environment.gov.au.
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This dataset presents data on population and people available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information in the following specified areas of population and people: Estimated Resident Population, Working Age Population, Median Age, Births and Deaths, Population Density, Internal and Overseas Migration, Aboriginal and Torres Strait Islander people, Overseas Born Proportion, Religious Affiliation and Speaks language other than English.
Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.
For more information please visit the Explanatory Notes.
AURIN has made the following changes to the original data:
Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA4 2016 dataset.
Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.
Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.
Columns and rows that did not contain any values in the original data have been removed.
The statistic shows the total population of Australia from 1980 to 2021, with projections up until 2029. In 2021, Australia had a total population of about 25.77 million people. Population of Australia Australia is among the ten largest countries in the world, in terms of area size, although its total population is low in relation to this. Much of Australia’s interior remains uninhabited, as the majority of Australians live in coastal metropolises and cities. Most of the population is of European descent (predominantly British), although there is a growing share of the population with Asian heritage; only a small percentage belongs to the indigenous Aboriginal population. Australia's year-on-year population growth is fairly high compared to most other economically and demographically advanced nations, due to comparatively high rates of natural increase and immigration. Living standards Standard of living is fairly high in Australia, which can be seen when looking at the Human Development Index, which ranks countries by their level of human development and living standards, such as their unemployment rate, literacy rate, or life expectancy at birth. Life expectancy of Australia’s population is quite high in international comparison, for example, Australia is also among the leading countries when it comes to this key factor.
Economically speaking, Australia is also among the leading nations, with a steadily rising employment rate, an increasing gross domestic product (GDP) with a steady growth rate, and a relatively stable share in the global GDP.
Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics
It should be noted that this data is now somwhat dated!
Human population density is a surrogate indicator of the extent of human pressures on the surrounding landscapes.
Areas with high population density are associated with higher levels of stream pollution and water diversion through sewers and drains. City and urban environments are substantially changed from their pre-European condition but a changed condition is not of itself necessarily poor by societal standards. It is the impacts such as polluted run-off to waterways, air pollution, sewage disposal, household water use and predation of wildlife by pets that confer impacts on catchment condition. Human population centres have an impact well beyond the built environment.
The impact of major population centres is well expressed in the AWRC map, but is best displayed in the 500 map. The main areas of impact are the major coastal and capital cities and suburbs, including popular beachside tourist destinations. Elsewhere, the impact of population density appears to be confined to the Murray and other major river valleys.
The Australian Bureau of Statistics compiles population statistics by sampling statistical local areas (SLAas) through the national census. These data can be converted to a per catchment basis.
Interpretation of the indicator is largely unequivocal, although there are land-uses/activities (e.g. mining) where population density is not a good indicator of the degree of habitat decline. This indicator has not been validated relative to habitat decline. This indicator is easy to understand.
Data are available as:
See further metadata for more detail.
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This dataset presents data on population and people available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 3 (SA3) 2016 boundaries. The dataset includes information in the following specified areas of population and people: Estimated Resident Population, Working Age Population, Median Age, Births and Deaths, Population Density, Internal and Overseas Migration, Aboriginal and Torres Strait Islander people, Overseas Born Proportion, Religious Affiliation and Speaks language other than English.
Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.
For more information please visit the Explanatory Notes.
AURIN has made the following changes to the original data:
Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA3 2016 dataset.
Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.
Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.
Columns and rows that did not contain any values in the original data have been removed.
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Official population projections for: • South Australia and regions for 2016 to 2041 • Local government areas (LGAs) and Statistical Areas level 2 (SA2s) for 2016 to 2036. Users should familiarise themselves with the assumptions, qualifications and background information provided on the DPTI population projections webpage at http://www.dpti.sa.gov.au/planning/population in order to choose the projection that best suits their needs. Updated every 5 years.
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Population ages 55-59, female (% of female population) in Australia was reported at 5.8814 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Population ages 55-59, female (% of female population) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.
Humans have been living on the continent of Australia (name derived from "Terra Australis"; Latin for "the southern land") for approximately 65,000 years, however population growth was relatively slow until the nineteenth century. Europeans had made some contact with Australia as early as 1606, however there was no significant attempt at settlement until the late eighteenth century. By 1800, the population of Australia was approximately 350,000 people, and the majority of these were Indigenous Australians. As colonization progressed the number of ethnic Europeans increased while the Australian Aboriginal population was decimated through conflict, smallpox and other diseases, with some communities being exterminated completely, such as Aboriginal Tasmanians. Mass migration from Britain and China After the loss of its American colonies in the 1780s, the British Empire looked to other parts of the globe to expand its sphere of influence. In Australia, the first colonies were established in Sydney, Tasmania and Western Australia. Many of these were penal colonies which became home to approximately 164,000 British and Irish convicts who were transported to Australia between 1788 and 1868. As the decades progressed, expansion into the interior intensified, and the entire country was claimed by Britain in 1826. Inland colonization led to further conflict between European settlers and indigenous Australians, which cost the lives of thousands of natives. Inward expansion also saw the discovery of many natural resources, and most notably led to the gold rushes of the 1850s, which attracted substantial numbers of Chinese migrants to Australia. This mass migration from non-European countries eventually led to some restrictive policies being introduced, culminating with the White Australia Policy of 1901, which cemented ethnic-European dominance in Australian politics and society. These policies were not retracted until the second half of the 1900s. Independent Australia Australia changed its status to a British dominion in 1901, and eventually became independent in 1931. Despite this, Australia has remained a part of the British Commonwealth, and Australian forces (ANZAC) fought with the British and their Allies in both World Wars, and were instrumental in campaigns such as Gallipoli in WWI, and the South West Pacific Theater in WWII. The aftermath of both wars had a significant impact on the Australian population, with approximately 90 thousand deaths in both world wars combined, as well as 15 thousand deaths as a result of the Spanish flu pandemic following WWI, although Australia experienced a significant baby boom following the Second World War. In the past fifty years, Australia has promoted immigration from all over the world, and now has one of the strongest economies and highest living standards in the world, with a population that has grown to over 25 million people in 2020.
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NEXIS (National Exposure Information System) Residential Population Density web service is a set of five raster layers, representing the density of people across Australia at different scales and resolution.
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This dataset presents data on population and people available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Local Government Area (LGA) 2019 boundaries. The dataset includes information in the following specified areas of population and people: Estimated Resident Population, Working Age Population, Median Age, Births and Deaths, Population Density, Internal and Overseas Migration, Aboriginal and Torres Strait Islander people, Overseas Born Proportion, Religious Affiliation and Speaks language other than English.
Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.
For more information please visit the Explanatory Notes.
AURIN has made the following changes to the original data:
Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) LGA 2019 dataset.
Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.
Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.
Columns and rows that did not contain any values in the original data have been removed.
This map shows where senior populations are found throughout the world. Areas with more than 10% seniors are highlighted with a dark red shading while a dot representation reveals the number of seniors and their distribution in bright red.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics
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Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. ABS 2011 census data presented …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. ABS 2011 census data presented spatially in an ESRI files geodatabase. Derived from Tabular ABS 2011 Census data for NSW joined with Meshblocks for NSW downloaded from the ABS website. As well as published "Persons" and "Dwellings" data an additional field "Persons_km2" was derived from the persons count and spatial area of the associated Mesh Block (see Lineage). Dataset History 2011 base level Census data for NSW was downloaded from the ABS website along with the spatial boundaries pertaining to the tabular data (NSW Mesh block shpaefiles). Census data was joined to the Mesh block polygons based on the Mesh block ID and the combined attributes exported to a file geodatabase feature class. A field was added "Persons_km2) and a popultaion density for each mesh block polygon area was derived by dividing the "persons" in that mesh block by the polygon area (based on Aust Albers projection) factored to calculate persons per square km. Dataset Citation Australian Bureau of Statistics (2014) NSW 2011 Census Population Counts and Density (Spatial). Bioregional Assessment Source Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/90662127-a559-493b-9d65-df44270aeb0a.
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Topographic map of Australia at 1:2500000 scale showing population centres, roads, railways and hydrology features.
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This web maps looks at the breakdown of who is renting, who is paying off the mortgage, and who owns their place outright. Using data from ABS Census 2021 General Community Profile release. This map shows the percentage of the population that is married. Data is available for Country, Greater Capital City Statistical Area (GCCSA), Local Government Area (LGA), Statistical Area Level 1 (SA1) and 2 (SA2), and State Suburb (SSC) boundaries.This map contains layers that contain some of the more commonly used variables from the General Community Profile information from the Australian Bureau of Statistics 2021 census. Data is available for Country, Greater Capital City Statistical Area (GCCSA), Local Government Area (LGA), Statistical Area Level 1 (SA1) and 2 (SA2), and Suburb and Localities (SAL) boundaries.The General Community Profile contains a series of tables showing the characteristics of persons, families and dwellings in a selected geographic area. The data is based on place of usual residence (that is, where people usually live, rather than where they were counted on Census night). Community Profiles are excellent tools for researching, planning and analysing geographic areas for a number of social, economic and demographic characteristics.Download the data here.Data and Geography notes:View the Readme files located in the DataPacks and GeoPackages zip files.To access the 2021 DataPacks, visit https://www.abs.gov.au/census/find-census-data/datapacksGlossary terms and definitions of classifications can be found in the 2021 Census DictionaryMore information about Census data products is available at https://www.abs.gov.au/census/guide-census-data/about-census-tools/datapacksDetailed geography information: https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas: 2021 Statistical Area Level 1 (SA1), 2021 Statistical Area Level 2 (SA2), 2021 Greater Capital City Statistical Areas (GCCSA), 2021 Australia (AUS)https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures: 2021 Suburbs and Localities (SAL), 2021 Local Government Areas (LGA)Please note that there are data assumptions that should be considered when analysing the ABS Census data. These are detailed within the Census documents referenced above. These include:Registered Marital StatusIn December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. For 2021, registered marriages include all couples.Core Activity Need for AssistanceMeasures the number of people with a profound or severe core activity limitation. People with a profound or severe core activity limitation are those needing assistance in their day to day lives in one or more of the three core activity areas of self-care, mobility and communication because of a long-term health condition (lasting six months or more), a disability (lasting six months or more), or old age. Number of Motor VehiclesExcludes motorbikes, motor scooters and heavy vehicles.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.Source: Australian Bureau of Statistics
This dataset is a croped version of Population Centres (Geomet 2389). Population centres such as major centres (associated with political DCW dataset (polys) for built up areas), populated places and villages (dataset derived from the Digital Chart of
the World (DCW)). For more information on the Digital Chart of the World data please browse the DCW Internet Site http://www.maproom.psu.edu/dcw/.
The primary source for DCW is the US Defense Mapping Agency (DMA) Operational Navigation Chart (ONC) series produced by the United States,
Australia, Canada, and the United Kingdom. The ONCs have a scale of 1:1,000,000, where 1 inch equals approximately 16 miles.The charts were designed to meet the needs of pilots and air crews in medium and low altitude en route navigation and to support military operational planning,
intelligence briefings, and other needs. Therefore, the selection of ground features is based on the requirement for rapid visual recognition of significant details seen from a low perspective angle. The DCW database was originally published in 1992. Data currency varies from place to place
depending on the currency of the ONC charts. Chart currency ranges from the mid 1960
s to the early 1990`s. Compilation dates for every ONC chart are included in the database.
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The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Australia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).