Quarterly estimates of total resident population for states, territories and Australia. Includes estimates of the population by sex in five-year age groups; numbers (and some rates) of births, …Show full descriptionQuarterly estimates of total resident population for states, territories and Australia. Includes estimates of the population by sex in five-year age groups; numbers (and some rates) of births, deaths, infant deaths, interstate and overseas movements; quarterly and/or annual time series spreadsheets; projected resident population for states, territories and Australia; and projected number of households for capital cities, states territories and Australia.

The total population in Australia was estimated at 27.0 million people in 2023, according to the latest census figures and projections from Trading Economics. This dataset provides - Australia Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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).

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2018, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to the 2018 edition of the Local Government Areas (LGA).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

• Where regions have zero population, the relating ratio and percentage columns have been left blank.

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.

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 dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2017, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to the 2017 edition of the Local Government Areas (LGA). Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period. This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics. For more information please visit the Explanatory Notes. AURIN has spatially enabled the data. Regions which contain unpublished data have been left blank in the dataset. Where regions have zero population, the relating ratio and percentage columns have been left blank.

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2018, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to Statistical Areas Level 2 (SA2), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS). Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period. This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics. For more information please visit the Explanatory Notes. AURIN has spatially enabled the data. Regions which contain unpublished data have been left blank in the dataset. Where regions have zero population, the relating ratio and percentage columns have been left blank.

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2017, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to the 2017 edition of the Local Government Areas (LGA).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

• Where regions have zero population, the relating ratio and percentage columns have been left blank.

AU: Educational Attainment: At Least Completed Lower Secondary: Population 25+ Years: Male: % Cumulative data was reported at 93.454 % in 2023. This records a decrease from the previous number of 95.020 % for 2022. AU: Educational Attainment: At Least Completed Lower Secondary: Population 25+ Years: Male: % Cumulative data is updated yearly, averaging 93.050 % from Dec 1971 (Median) to 2023, with 21 observations. The data reached an all-time high of 95.020 % in 2022 and a record low of 70.620 % in 1971. AU: Educational Attainment: At Least Completed Lower Secondary: Population 25+ Years: Male: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Education Statistics. The percentage of population ages 25 and over that attained or completed lower secondary education.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.;;

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2017, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to Statistical Areas Level 2 (SA2), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

• Where regions have zero population, the relating ratio and percentage columns have been left blank.

Australia Population: as % of Total: Female: Aged 65 and Above data was reported at 18.401 % in 2023. This records an increase from the previous number of 18.055 % for 2022. Australia Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 12.880 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 18.401 % in 2023 and a record low of 9.726 % in 1971. Australia Population: as % of Total: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Population and Urbanization Statistics. Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2019, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to the 2019 edition of the Local Government Areas (LGA).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

• Where regions have zero population, the relating ratio and percentage columns have been left blank.

This dataset presents the preliminary estimates of the resident population by age and sex as at 30 June 2019. The data is aggregated to Statistical Areas Level 2 (SA2), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

This is part of analysis from Outer Urban Public Transport, which was released in October 2018. This layer presents the proportion of people within walking distance to high-medium frequency public …Show full descriptionThis is part of analysis from Outer Urban Public Transport, which was released in October 2018. This layer presents the proportion of people within walking distance to high-medium frequency public transport stops/stations in 2017. Walking distance is defined as 800 metres for heavy rail, and 400 metres for all other modes. High-frequency public transport is defined as having at least four services per hour during AM peak. This analysis was performed using 2017 timetables. See pages 80-81 of the report for a detailed explanation of methodology.

This is part of analysis from Outer Urban Public Transport, which was released in October 2018.

This layer presents the proportion of people within walking distance to high-medium frequency public transport stops/stations in 2017. Walking distance is defined as 800 metres for heavy rail, and 400 metres for all other modes. High-frequency public transport is defined as having at least four services per hour during AM peak. This analysis was performed using 2017 timetables.

See pages 80-81 of the report for a detailed explanation of methodology.

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 dataset describes the proportion of the Australian population that is using safely managed sanitation services, including a hand-washing facility with soap and water.

Primary Information Source: Bureau of Meteorology, National Performance Report 2017-18: Urban Water Utilities

http://www.bom.gov.au/water/npr/

The City of Port Adelaide Enfield Community Profile provides demographic and economic analysis for the Council area and its suburbs based on results from the 2016, 2011, 2006, 2001, 1996 and 1991 Censuses of Population and Housing. The profile is updated with population estimates when the Australian Bureau of Statistics (ABS) releases new figures. This is an interactive query tool where results can be downloaded in various formats. Three reporting types are available from this resource: 1. Social atlas that delivers the data displayed on a map showing each SA1 area (approx 200 households), 2. Community Profile which delivers data at a District level which contain 2 to 3 suburbs, and 3. Economic Profile which reports statistics of an economic indicators. The general community profile/social atlas themes available for reporting on are: -Age -Education -Ethnicity -Disability -Employment/Income -Household types -Indigenous profile -Migration -Journey to work -Disadvantage -Population Estimates -Building approvals. It also possible to navigate to the Community Profiles of some other Councils as well.

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.

A description of the modelling methods used for age and sex structures can be found in "https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank"> Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here.
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.
Data for earlier dates is available directly from WorldPop.

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646