This dataset was extracted from OpenStreetMap (OSM) across the geographic area of Australia on 02 December 2021. Its purpose is to display Waterways as lines within Australia. Note, however, as this dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki. Please note: The original data for this dataset has been downloaded from Geofabrik on 02 December 2021. Due to changes in tagging, previous versions of OSM may not be comparable with this release.

Australia GDP: 2021-22p data was reported at 2,403,614.000 AUD mn in 2023. This records an increase from the previous number of 2,333,221.000 AUD mn for 2022. Australia GDP: 2021-22p data is updated yearly, averaging 926,162.500 AUD mn from Jun 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 2,403,614.000 AUD mn in 2023 and a record low of 300,892.000 AUD mn in 1960. Australia GDP: 2021-22p 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.A167: SNA08: Gross Domestic Product and Gross Domestic Product per Capita: by State.

AbstractCatchment Scale Land Use of Australia (CLUM) depicted into 33 classes based on the secondary classes of the Australian Land Use and Management (ALUM) Classification version 8. Classes are aggregated to nature conservation, managed resource protection, other minimal use, grazing, forestry, plantations, cropping, horticulture, pastures, intensive agriculture, urban, rural residential, mining and water with irrigation status.The Catchment Scale Land Use of Australia – Update December 2023 version 2 dataset is the national compilation of catchment scale land use data available for Australia, as at December 2023. It replaces the Catchment Scale Land Use of Australia – Update December 2020.It is a seamless raster dataset that combines land use data for all state and territory jurisdictions, compiled at a resolution of 50 metres by 50 metres. The CLUM data shows a single dominant land use for a given area, based on the primary management objective of the land manager (as identified by state and territory agencies).Land use is classified according to the Australian Land Use and Management Classification version 8. It has been compiled from vector land use datasets collected as part of state and territory mapping programs and other authoritative sources, through the Australian Collaborative Land Use and Management Program. Catchment scale land use data was produced by combining land tenure and other types of land use information including, fine-scale satellite data, ancillary datasets, and information collected in the field.The date of mapping (2008 to 2023) and scale of mapping (1:5,000 to 1:250,000) vary, reflecting the source data, capture date and scale. Date and scale of mapping are provided in supporting datasets.CurrencyDate modified: June 2024Modification frequency: As requiredData extentSpatial extentNorth: -8.03°South: -45.5°East: 161.5°West: 105.7°Source informationData, Metadata, Maps and Interactive views are available from Catchment Scale Land Use of Australia - Update December 2023Catchment Scale Land Use of Australia - Update December 2023 – Descriptive metadataThe data was obtained from Department of Agriculture, Fisheries and Forestry - Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). ABARES is providing this data to the public under a Creative Commons Attribution 4.0 license.Lineage statementABARES has produced this raster dataset from vector catchment scale land use data provided by state and territory agencies, as follows:Catchment Scale Land Use Mapping for the Australian Capital Territory 20122017 NSW Land Use v1.5Land Use Mapping Project of the Northern Territory, 2016 – 2022 (LUMP)Land use mapping – 2021 – Great Barrier Reef NRM regionsLand use mapping – 1999 to Current – Queensland (June 2019)[South Australia] Land Use (ACLUMP) (2017)Tasmanian Land Use 2022Victorian Land Use Information System [VLUIS] 2021-22Catchment Scale Land Use Mapping for Western Australia 2018Australian Tree Crops, Australian Protected Cropping Structures and Queensland Soybean Crops maps (as at 30 November 2023)Applied Agricultural Remote Sensing Centre (AARSC), University of New England.Links to land use mapping datasets and metadata are available at the ACLUMP data download page at agriculture.gov.au.State and territory vector catchment scale land use data were produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field, as outlined in 'Guidelines for land use mapping in Australia: principles, procedures and definitions, 4th edition' (ABARES 2011). The Northern Territory, Queensland, South Australia, Tasmania, Victoria and Western Australia were mapped to version 8 of the ALUM classification (‘The Australian Land Use and Management Classification Version 8’, ABARES 2016).The Australian Capital Territory was mapped to version 7 of the ALUM classification and converted to version 8 using a look-up table based on Appendix 1 of ABARES (2016).The following agricultural (excluding intensive uses) classes were included from the Queensland Great Barrier Reef NRM Regions 2021 modified ALUM classification schema dataset:2.2.0 Grazing native vegetation3.2.0 Grazing modified pastures3.3.0 Cropping3.3.5 Sugar3.4.0 Perennial horticulture3.4.1 Tree fruits3.5.0 Seasonal horticulture3.6.0 Land in transition4.2.0 Grazing irrigated modified pastures4.3.0 Irrigated cropping4.3.5 Irrigated sugar4.4.0 Irrigated perennial horticulture4.4.1 Irrigated tree fruits4.5.0 Irrigated seasonal horticulture4.6.0 Irrigated land in transitionFixes to known issues include:In Western Australia, ALUM classes 4.0.0 Production from Irrigated Agriculture and Plantations, 5.0.0 Intensive Uses and 6.0.0 Water have been attributed to secondary level by visual interpretation using satellite data.In South Australia, through consultation with the South Australian Department of Environment and Water, the mining area (ALUM class 5.8.0 Mining) within mining tenements is more accurately delineated. The area within mining tenements that is not used for mining is now attributed as grazing of native vegetation (ALUM class 2.1.0) within pastoral areas and residual native cover (ALUM class 1.3.3) outside of pastoral areas.NODATA voids in Adelaide, South Australia were filled with data from mesh block land use attributes (Australian Bureau of Statistics 2021) according to Table 8. All other NODATA voids were filled using the ESRI ArcGIS focal statistics command.For the purposes of web viewing, the data was reprojected to EPSG:3857 - Web Mercator.Land use classificationThe Australian Land Use and Management (ALUM) Classification version 8 is a three-tiered hierarchical structure. There are five primary classes, identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Primary and secondary levels relate to the principal land use. Tertiary classes may include additional information on commodity groups, specific commodities, land management practices or vegetation information. The primary, secondary and tertiary codes work together to provide increasing levels of detail about the land use. Land may be subject to concurrent uses. For example, while the main management objective of a multiple-use production forest may be timber production, it may also provide conservation, recreation, grazing and water catchment land uses. In these cases, production forestry is commonly identified in the ALUM code as the prime land use.Table 1: Secondary land use classification symbology as RGB and hexadecimal colour valuesVALUE (ALUM)SECV8RedGreenBlueHex110; 111; 112; 113; 114; 115; 116; 1171.1 Nature conservation150102204#9666CC120; 121; 122; 123; 124; 1251.2 Managed resource protection201190255#C9BEFF130; 131; 132; 133; 1341.3 Other minimal use222135221#DE87DD2102.1 Grazing native vegetation255255229#FFFFE5220; 221; 2222.2 Production native forests4113768#298944310; 311; 312; 313; 3143.1 Plantation forests173255181#ADFFB5320; 321; 322; 323; 324; 3253.2 Grazing modified pastures255211127#FFD37F330; 331; 332; 333; 334.; 335; 336; 337; 3383.3 Cropping2552550#FFFF00340; 341; 342; 343; 344; 345; 346; 347; 348; 3493.4 Perennial horticulture171135120#AB8778350; 351; 352; 3533.5 Seasonal horticulture875864#573A40360; 361; 362; 363; 364; 3653.6 Land in transition000#000000410; 411; 412; 413; 4144.1 Irrigated plantation forests236255224#ECFFE0420; 421; 422; 423; 4244.2 Grazing irrigated modified pastures2551700#FFAA00430; 431; 432; 433; 434; 435; 436; 437; 438; 4394.3 Irrigated cropping20118484#C9B854440; 441; 442; 443; 444; 445; 446; 447; 448; 4494.4 Irrigated perennial horticulture1568446#9C542E450; 451; 452; 453; 4544.5 Irrigated seasonal horticulture794323#4F2B17460; 461; 462; 463; 464; 4654.6 Irrigated land in transition525252#343434510; 511; 512; 513; 514; 5155.1 Intensive horticulture255201190#FFC9BE520; 521; 522; 523; 524; 525; 526; 527; 5285.2 Intensive animal production255135190#FF87BE530; 531; 532; 533; 534; 535; 536; 537; 5385.3 Manufacturing and industrial115760#734C00540; 5415.4.0, 5.4.1 Urban residential25500#FF0000542; 543; 544; 5455.4.2, 5.4.3, 5.4.4, 5.4.5 Rural residential and farm infrastructure156156156#9C9C9C550; 551; 552; 553; 554; 5555.5 Services15500#9B0000560; 561; 562; 563; 564; 565; 566; 5675.6 Utilities255127127#FF7F7F570; 571; 572; 573; 574; 5755.7 Transport and communication16800#A80000580; 581; 582; 583; 5845.8 Mining71130143#47828F590; 591; 592; 593; 594; 5955.9 Waste treatment and disposal417382#294952610; 611; 612; 613; 6146.1 Lake00255#0000FF620; 621; 622; 6236.2 Reservoir/dam0197255#00C5FF630; 631; 632; 6336.3 River0112255#0070FF640; 641; 642; 6436.4 Channel/aqueduct077168#004DA8650; 651; 652; 653; 6546.5 Marsh/wetland115178255#73B2FF660; 661; 662; 6636.6 Estuary/coastal waters190210255#BED2FFData dictionaryAttribute nameDescriptionOIDInternal feature number that uniquely identifies each row.VALUEALUM code as a three digit integer. First digit is primary code, second digit is secondary code, and third digit is tertiary code.COUNTCount of the number of raster cells in each class of VALUE.LU_CODEV8ALUM code as a string.LU_V8NALUM code as a three digit integer. First digit is primary code, second digit is secondary code, and third digit is tertiary code.TERTV8ALUM tertiary code and description as a string.SECV8ALUM secondary code and description as a string.PRIMV8ALUM primary code and description as a string.SIMPNCode for simplified land use classification.SIMPDescription of the simplified land use classification.AGINDDescription of agricultural industries.Red, Green, BlueRGB values for classification colours ContactDepartment of Agriculture, Fisheries and Forestry (ABARES), info.ABARES@aff.gov.au

In 2021, the Australian Digital Inclusion Index (ADII) results showed that the Australian Capital Territory scored the highest, with an ADII score of **. Elsewhere, Tasmania scored ** on the scale and the national average was ****.

This dataset was extracted from OpenStreetMap (OSM) across the geographic area of Australia on 02 December 2021. Its purpose is to display land use and land cover as an area (polygon) within Australia. Note, however, as this dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki. Please note: The original data for this dataset has been downloaded from Geofabrik on 02 December 2021. Due to changes in tagging, previous versions of OSM may not be comparable with this release.

Destination Zones (DZN)

Destination Zones (DZN) are co-designed with state and territory transport authorities for the analysis of Census Place of Work data, commuting patterns and the development of transport policy.

Destination Zones are geographic areas built from whole Mesh Blocks. Whole Destination Zones add up to form Statistical Areas Level 2 (SA2s). They do not align to Statistical Areas Level 1 (SA1s).

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Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

Local Government Areas (LGA)

Local Government Areas (LGAs) represent local government boundaries that are defined by each State and Territory. LGAs are useful for understanding the characteristics of an individual local council area at a point in time.

LGAs are also known as Incorporated areas where incorporated local governing bodies have responsibilities (e.g. your local council). Not all areas of Australia are incorporated areas for example, northern parts of South Australia, all of the Australian Capital Territory and some Other Territories. These regions are defined as ‘Unincorporated’ in the ABS LGA structure.

LGAs are built from Mesh Blocks.

Annual reviews of LGAs are conducted and new boundaries are released if changes are identified. For information on these changes see ASGS Edition 3 – LGAs, history of changes. In TableBuilder, LGA boundaries will be updated if there have been changes. There were minor 2023 changes, however, as there were no changes to source boundaries that resulted in a Mesh Block changing allocation, a 2023 LGA variable will not be added in Census TableBuilder datasets.

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Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

At the end of 2021, the largest segment of the tech sector in Australia was life sciences and health, with a market value of around *** billion Australian dollars. The largest portion of this came from CSL, a multinational specialty biotechnology company.

The number of overseas arrivals to the Australian state of New South Wales reached approximately 41,110 in June 2021. This figure is a 93.4 percent decrease from May 2019. In response to the COVID-19 pandemic, the Australian government began implementing travel restrictions in early 2020.

As of July 2021, there were ** million monthly active users of Facebook in Australia. This figure represents the highest number of active users of a single social media website in the country. YouTube had **** million active monthly users in that same time period.

ASGS Edition 3 (2021) Allocation Files. Allocation files in Microsoft Excel format for Main, Indigenous, Section of State, Urban Centre and Locality, Significant Urban Areas and Non ABS Structures

This dataset was extracted from OpenStreetMap (OSM) across the geographic area of Australia on 02 December 2021. Its purpose is to display places as an area (polygon) within Australia. Note, however, as this dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki. Please note: The original data for this dataset has been downloaded from Geofabrik on 02 December 2021. Due to changes in tagging, previous versions of OSM may not be comparable with this release.

This web 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 presents information from G40 – Rent (weekly) by landlord type in Australia based on the general community profile from the 2021 Census. It contains characteristics of persons, families, and dwellings by Local Government Areas (LGA), 2021, from the Australian Statistical Geography Standard (ASGS) Edition 3.

This dataset is part of a set of web services based on the 2021 Census. It can be used as a tool for researching, planning, and analysis. The data is based on place of usual residence (that is, where people usually live, rather than where they were counted on Census night), unless otherwise stated.

Small random adjustments have been made to all cell values to protect the confidentiality of respondents. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For further information see the 2021 Census Privacy Statement, Confidentiality, and Introduced random error/perturbation.

Made possible by the Digital Atlas of Australia The Digital Atlas of Australia is an Australian Government initiative being led by Geoscience Australia. It will bring together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas.

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: G40 – Rent (weekly) by landlord type Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: About the Census, 2021 Census product release guide – Community Profiles, Understanding Census geography Source: Australian Bureau of Statistics (ABS)

Australia (AUS) and State/Territory (S/T)

Australia (AUS) is the largest geographic area in the Main Structure of the ASGS.

Australia is broken up into the States and Territories (S/T) that are separately recognised in the ASGS:

• New South Wales
• Victoria
• Queensland
• South Australia
• Western Australia
• Tasmania
• Northern Territory
• Australian Capital Territory
• Other Territories (Jervis Bay Territory, Territory of Christmas Island, Territory of the Cocos (Keeling) Islands and Norfolk Island)

S/T are made of one or more Statistical Areas Level 4 (SA4s).

Jervis Bay Territory, and the Territories of Christmas Island, Cocos (Keeling) Islands and Norfolk Island are included as one spatial unit at the S/T level under the category of Other Territories.

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Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

The ‘1:2 500 000 major crustal boundaries of Western Australia, 2021’ digital layer is a regional compilation of interpreted crustal boundaries that penetrate the lithosphere or bound tectonic units at the terrane or province scale. These boundaries have been interpreted and extrapolated from a variety of geological and geophysical datasets, primarily seismic reflection profiles, outcrop geology, and potential field data (gravity and aeromagnetics). Tectonic events ascribed to each boundary are defined in the GSWA Explanatory Notes Database (February 2021). The positional accuracy of these boundaries is low, due primarily to their crustal scale and uncertainties in interpreting the primary data sources, and consequently this map is best used at the nominal scale or smaller.

Statistical Area Level 1 (SA1)

Statistical Areas Level 1 (SA1s) are designed to maximise the geographic detail available for Census of Population and Housing data while maintaining confidentiality.

SA1s are built from whole Mesh Blocks and have a population between 200 and 800 people. In remote and regional areas they generally have smaller populations than those in urban areas. SA1s are designed to represent Aboriginal and Torres Strait Islander communities as accurately as possible, particularly in remote areas.

Using SA1s with Census data

Use SA1s to see how Census characteristics vary at a neighbourhood scale within larger areas such as Suburbs or Local Government Areas.

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Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

Historical dataset showing Australia crime rate per 100K population by year from 1990 to 2021.

The majority of migration moves globally are internal within national borders. This makes internal migration intensities an important component for understanding the dynamics of population change according to size, composition and across geographies. While incorporating migration into demography’s quantitative framework allows a description of population change across both time and space, and mathematical and conceptual frameworks for migration have been developed, researchers lack a public repository of historical age-origin-destination-specific migration probabilities that is in a common format and spans a range of countries. Addressing this requires a robust method for inferring migration probabilities from census and survey data when there are significant levels of uncertainty from small-sample noise and age aggregation. In this paper we extend the P-TOPALS and P-spline methods for smoothing migration probabilities to apply to grouped data by ages to develop a methods protocol for a harmonised, homogeneous format and multi-nation Human Internal Migration Database. We find our method out-performs a hybrid spline-parametric method in terms of both accuracy and plausibility. We illustrate the method by estimating complete age-origin-destination migration probabilities for more than 50 countries using microdata samples from IPUMS International. This work advances the stock of migration data from which demographers and others can draw from in the analysis and projection of population change.

This report provides a comprehensive analysis of Pasifika communities in Australia based on the 2021 Australian Bureau of Statistics (ABS) Census. The Australian Pasifika Educators Network (APEN) define 'Pasifika' as peoples and communities, who are genealogically, spiritually, and culturally connected to the lands, the skies and seas of the Pasifika region (including Aotearoa, New Zealand), and who have chosen to settle in and call Australia home. This analysis seeks to track key trends that have emerged since the 2015 Pacific Communities report published by Professor Jioji Ravulo based on the 2011 Census. In accordance with the intent of the original report, this current version seeks to provide an understanding of the current demographic, and socioeconomic experiences of Pasifika communities with a particular focus on education. This analysis covers population, education levels, employment patterns, as well as family and household characteristics to not only shed light on the unique circumstances faced by Pasifika communities, but also track key trends over the last decade. In addition, an examination of the Western Sydney region has been included, highlighting the significance of place-based insights on Pasifika communities towards informing policy responses and initiatives. Dataset: OVERVIEW This report compiles data from the 2021 Census of Population and Housing conducted by the Australian Bureau of Statistics (ABS). This document provides the second iteration on the human geography of Pasifika peoples within an Australian context,10 aimed at gathering greater insight into Pasifika communities, as well as comparing and tracing key trends through various datapoints. In addition, this report provides a spotlight on Pasifika communities in Western Sydney, where nearly 20% of the nation’s Pasifika population currently resides.