Please note, we recommend using the new Map Viewer in ArcGIS Online. There is an issue in Map Viewer Classic with the display of grid cell values. The clickable area of each cell is shifted to the northwest. This can result in neighbouring pixel values being displayed. The underlying data is correct, and the values display correctly in the new Map Viewer and in ArcGIS Pro. The Australian population grid 2022 is a modelled 1 km x 1 km grid representation of the estimated resident population (ERP) of Australia from 30 June 2022. The population grid is created by reaggregating estimated resident population data from Statistical Areas Level 1 (SA1) to a 1 km x 1 km grid across Australia based on point data representing residential address points. The value of each grid cell represents the estimated population density (number of people per square kilometre) within each 1 km x 1 km grid cell.

SA1 boundaries are defined by the Australian Statistical Geography Standard (ASGS) Edition 3 (2021) and the 1 km x 1 km grid is based on the National Nested Grid.

Data considerations Caution must be taken when using the population grid as it presents modelled data only; it is not an exact measure of population across Australia. Contact the Australian Bureau of Statistics (ABS) If you have questions, feedback or would like to receive updates about this web service, please email geography@abs.gov.au. For information about how the ABS manages any personal information you provide view the ABS privacy policy.

Data and geography references Source data publication: Regional population, 2022 Additional data input: ABS Address Register Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3, National Nested Grid Further information: Regional population methodology Source: Australian Bureau of Statistics (ABS)

In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

Australia's Health Tracker by Area presents data via interactive maps and graphs on a range of chronic diseases, conditions and their risk factors. In addition to the maps and graphs, data can be downloaded as spreadsheets.

Information is available on: obesity, high blood pressure, risky alcohol consumption, smoking, high cholesterol, bowel cancer screening, diabetes, death rates from various diseases, and suicide rates.

The tracker shows both the latest national data and how it compares with the 2025 Australian chronic disease targets.

Notes on the data are available from each download page and contain information on the indicators and data sources. Related publications mentioned below: 'Australia's Health Tracker 2016' , 'Australia's Health Tracker: Technical Appendix', and 'Getting Australia's Health on Track' are useful companion reports

Except where otherwise stated, all age-standardised rates and ratios presented in the maps, data or graphics are based on the Australian standard.

Data can be reported on by Population Health Area, Local Government Area, Primary Health Network, and at State and Territory level.

Population Health Areas (PHAs) are comprised of a combination of whole Statistical Area Level 2s (SA2s) and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure:the Australian Statistical Geographical Standard (ASGS), July 2011, Cat No 1270.0.55.001

Local Government Areas (LGAs) are an Australian Bureau of Statistics (ABS) approximation of officially gazetted LGAs as defined by each State and Territory Local Government Department. LGAs cover incorporated areas of Australia. For further information regarding the LGA structure, refer to the ABS information at: Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2015, Cat No 1270.0.55.003

Primary Health Networks (PHNs) comprise 31 primary health care organisations across Australia. For further information, including digital boundary and concordance files, refer to the Department of Health Primary Health Networks http://www.health.gov.au/internet/main/publishing.nsf/Content/PHN-Home

This dataset provides the population by gender for 2011 in Mainland Australia. The data is aggregated to Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS).

The Industry Atlas of Victoria is a graphic snapshot of the State's economy - in Melbourne and regional Victoria. Highly informative maps have been derived from the 2006 Census, supplemented by up-to-date Australian Bureau of Statistics (ABS) data, to provide insight into the number and distribution of businesses, industries and the workforce. The Atlas provides fascinating information and valuable input into future industry policy development and infrastructure planning.

The DSS Payment Demographic data set is made up of:

Selected DSS payment data by

• Geography: state/territory, electorate, postcode, LGA and SA2 (for 2015 onwards)

• Demographic: age, sex and Indigenous/non-Indigenous

• Duration on Payment (Working Age & Pensions)

• Duration on Income Support (Working Age, Carer payment & Disability Support Pension)

• Rate (Working Age & Pensions)

• Earnings (Working Age & Pensions)

• Age Pension assets data

• JobSeeker Payment and Youth Allowance (other) Principal Carers

• Activity Tested Recipients by Partial Capacity to Work (NSA,PPS & YAO)

• Exits within 3, 6 and 12 months (Newstart Allowance/JobSeeker Payment, Parenting Payment, Sickness Allowance & Youth Allowance)

• Disability Support Pension by medical condition

• Care Receiver by medical conditions

• Commonwealth Rent Assistance by Payment type and Income Unit type have been added from March 2017. For further information about Commonwealth Rent Assistance and Income Units see the Data Descriptions and Glossary included in the dataset.

From December 2022, the "DSS Expanded Benefit and Payment Recipient Demographics – quarterly data" publication has introduced expanded reporting populations for income support recipients. As a result, the reporting population for Jobseeker Payment and Special Benefit has changed to include recipients who are current but on zero rate of payment and those who are suspended from payment. The reporting population for ABSTUDY, Austudy, Parenting Payment and Youth Allowance has changed to include those who are suspended from payment. The expanded report will replace the standard report after June 2023.

Additional data for DSS Expanded Benefit and Payment Recipient Demographics – quarterly data includes:

• A new contents page to assist users locate the information within the spreadsheet

• Additional data for the ‘Suspended’ population in the ‘Payment by Rate’ tab to enable users to calculate the old reporting rules.

• Additional information on the Employment Earning by ‘Income Free Area’ tab.

From December 2022, Services Australia have implemented a change in the Centrelink payment system to recognise gender other than the sex assigned at birth or during infancy, or as a gender which is not exclusively male or female. To protect the privacy of individuals and comply with confidentialisation policy, persons identifying as ‘non-binary’ will initially be grouped with ‘females’ in the period immediately following implementation of this change. The Department will monitor the implications of this change and will publish the ‘non-binary’ gender category as soon as privacy and confidentialisation considerations allow.

Local Government Area has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2022 boundaries from June 2023.

Commonwealth Electorate Division has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

SA2 has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

From December 2021, the following are included in the report:

• selected payments by work capacity, by various demographic breakdowns

• rental type and homeownership

• Family Tax Benefit recipients and children by payment type

• Commonwealth Rent Assistance by proportion eligible for the maximum rate

• an age breakdown for Age Pension recipients

For further information, please see the Glossary.

From June 2021, data on the Paid Parental Leave Scheme is included yearly in June releases. This includes both Parental Leave Pay and Dad and Partner Pay, across multiple breakdowns. Please see Glossary for further information.

From March 2017 the DSS demographic dataset will include top 25 countries of birth. For further information see the glossary.

From March 2016 machine readable files containing the three geographic breakdowns have also been published for use in National Map, links to these datasets are below:

• Statistical Area 2 - SA2

• Commonwealth Electoral Division - CED

• Local Government Area - LGA

Pre June 2014 Quarter Data contains:

Selected DSS payment data by

• Geography: state/territory; electorate; postcode and LGA

• Demographic: age, sex and Indigenous/non-Indigenous

Note: JobSeeker Payment replaced Newstart Allowance and other working age payments from 20 March 2020, for further details see: https://www.dss.gov.au/benefits-payments/jobseeker-payment

For data on DSS payment demographics as at June 2013 or earlier, the department has published data which was produced annually. Data is provided by payment type containing timeseries’, state, gender, age range, and various other demographics. Links to these publications are below:

• Statistical Paper series

Concession card data in the March and June 2020 quarters have been re-stated to address an over-count in reported cardholder numbers.

28/06/2024 – The March 2024 and December 2023 reports were republished with updated data in the ‘Carer Receivers by Med Condition’ section, updates are exclusive to the ‘Care Receivers of Carer Payment recipients’ table, under ‘Intellectual / Learning’ and ‘Circulatory System’ conditions only.

Displays a map of 2,246 Bureau of Meteorology stations in New South Wales and within 50 km of the state's border in adjoining states. This is overlayed on top of Postal Areas obtained from the 2001 Census of Population of Housing, Australian Bureau of Statistics (ABS). The map also indicates whether a weather station records precipitation or temperature information. The data for this collection is stored in ESRI shapefile format and the image representing the data was generated using ESRI ArcGIS.

AbstractIn 2015, the Department of Health introduced the Modified Monash Model (MMM) classification system as it better targets health workforce programs by categorising metropolitan, regional, rural and remote areas according to both geographical remoteness, as defined by the Australian Bureau of Statistics, and town size. The MMM 2019 was updated on 1 July 2019.The MMM2023 was updated on 10 March 2025 to use the latest available Australian Bureau of Statistics (2021) Census data and geography information.The 2023 MMM uses the following data sets:Australian Statistical Geography Standard 2021 Statistical Area 1; and Urban Centres and Localities as the geographic bases;Australian Statistical Geography Standard – Remoteness Area 2021 as the ABS remoteness classification (based on Accessibility and Remoteness Index of Australia (ARIA+);Estimated Resident Population 2023; and Esri ArcGIS StreetMap Premium Asia Pacific 2021.CurrencyDate modified: March 2025Modification frequency: As neededData ExtentSpatial ExtentWest: 96.82°South: -43.74°East: 167.99°North: -9.14°Source InformationData Derived from research conducted by the Monash UniversityAustralian Department of Health, Disability and Ageing:Geospatial Data HubLineage StatementThe Modified Monash Model (MMM) is derived from research by the Monash University as to how locations relate to key GP workforce indicators. Data has been Geographically set to the Australian Bureau of Statistics’ (ABS) Australian Statistical Geography Standard (ASGS).Data DictionaryAttribute NameDescriptionOBJECTIDAutomatically generated system IDMMM Code (2023)Hospital CodeMMM Name (2023)Hospital NameShape_AreaSystem Managed CalculationShape_LengthSystem Managed CalculationContactContact: Department of Health, Disability and Ageing,geospatial@health.gov.au

The HMAP database (http://www.hull.ac.uk/hmap) is an open access facility that currently comprises time series of commercial catches covering the period 1611-2000. It is a growing resource and extends more that 240,000 records and more than 100 species. Data are mostly recovered from archives, tax records, custom records or surveys. The facility includes a web guide to the database (the Data Directory) and a web library of dataset downloads (the Data Library), while users can create customized datasets through the HMAP Portal, which is an interactive facility for searching the database. A significant proportion of these holdings are currently available through OBIS. HMAP is a distributed data contributor and the constituent datasets have been mapped to the OBIS schema using DiGIR since 2004.

    The HMAP program (http://www.hmapcoml.org) is the historical component of the Census of Marine Life (CoML). It is a multidisciplinary, collaborative project which aims to enhance knowledge and understanding of how and why the diversity, distribution and abundance of marine life in the world's oceans changes over the long term. The HMAP program is currently composed of 9 datasets, 3 of which focus on trawl records from Southeast Australia, one on world whaling, 2 on Northwest Atlantic, and 3 on catch data from Norwegian and North and Baltic seas.

Barmah Forest virus (BFV) disease is a common and wide-spread mosquito-borne disease in Australia. This study investigated the spatio-temporal patterns of BFV disease in Queensland, Australia using geographical information system (GIS) tools and geostatistical analysis.

We calculated the incidence rates and standardised incidence rates of BFV disease. Moran's I statistic was used to assess the spatial autocorrelation of BFV incidences. Spatial dynamics of BFV disease was examined using semi-variogram analysis. Interpolation techniques were applied to visualise and display the spatial distribution of BFV disease in statistical local areas (SLAs) throughout Queensland. Mapping of BFV disease by SLAs reveals the presence of substantial spatio-temporal variation over time. Statistically significant differences in BFV incidence rates were identified among age groups (χ2 = 7587, df = 7327,p<0.01). There was a significant positive spatial autocorrelation of BFV incidence for all four periods, with the Moran's I statistic ranging from 0.1506 to 0.2901 (p<0.01). Semi-variogram analysis and smoothed maps created from interpolation techniques indicate that the pattern of spatial autocorrelation was not homogeneous across the state.

This image is a map showing the standardised incidence rates (1/100,000 people) of BFV disease by SLA in Queensland, 1993–2008.

In the century between Napoleon's defeat and the outbreak of the First World War (known as the "Pax Britannica"), the British Empire grew to become the largest and most powerful empire in the world. At its peak in the 1910s and 1920s, it encompassed almost one quarter of both the world's population and its land surface, and was known as "the empire on which the sun never sets". The empire's influence could be felt across the globe, as Britain could use its position to affect trade and economies in all areas of the world, including many regions that were not part of the formal empire (for example, Britain was able to affect trading policy in China for over a century, due to its control of Hong Kong and the neighboring colonies of India and Burma). Some historians argue that because of its economic, military, political and cultural influence, nineteenth century Britain was the closest thing to a hegemonic superpower that the world ever had, and possibly ever will have. "Rule Britannia" Due to the technological and logistical restrictions of the past, we will never know the exact borders of the British Empire each year, nor the full extent of its power. However, by using historical sources in conjunction with modern political borders, we can gain new perspectives and insights on just how large and influential the British Empire actually was. If we transpose a map of all former British colonies, dominions, mandates, protectorates and territories, as well as secure territories of the East India Trading Company (EIC) (who acted as the precursor to the British Empire) onto a current map of the world, we can see that Britain had a significant presence in at least 94 present-day countries (approximately 48 percent). This included large territories such as Australia, the Indian subcontinent, most of North America and roughly one third of the African continent, as well as a strategic network of small enclaves (such as Gibraltar and Hong Kong) and islands around the globe that helped Britain to maintain and protect its trade routes. The sun sets... Although the data in this graph does not show the annual population or size of the British Empire, it does give some context to how Britain has impacted and controlled the development of the world over the past four centuries. From 1600 until 1920, Britain's Empire expanded from a small colony in Newfoundland, a failing conquest in Ireland, and early ventures by the EIC in India, to Britain having some level of formal control in almost half of all present-day countries. The English language is an official language in all inhabited continents, its political and bureaucratic systems are used all over the globe, and empirical expansion helped Christianity to become the most practiced major religion worldwide. In the second half of the twentieth century, imperial and colonial empires were eventually replaced by global enterprises. The United States and Soviet Union emerged from the Second World War as the new global superpowers, and the independence movements in longstanding colonies, particularly Britain, France and Portugal, gradually succeeded. The British Empire finally ended in 1997 when it seceded control of Hong Kong to China, after more than 150 years in charge. Today, the United Kingdom consists of four constituent countries, and it is responsible for three crown dependencies and fourteen overseas territories, although the legacy of the British Empire can still be seen, and it's impact will be felt for centuries to come.