This collection contains statistical data extracted from the published W.A. colonial census reports from 1848 to 1901. The data are presented both as raw Excel spreadsheets and as processed files for use with the SPSS and Nesstar statistical software. These files were compiled and processed by Leanne Den Hartog in 2012 as part of her work for the Western Australian node of the Australian Data Archive.

Data from the 1892 Western Australian colonial census formatted for SPSS and Nesstar software

The WA Housing Authority has developed a model to estimate demand for social and affordable housing at the LGA level. This is a snapshot of unmet demand as of Census night, 2011. It is based on data from the 2011 Census, information from the WA Housing Authority, and WA State Government population projections. Data from all sources is combined and assessed to produce a priority ranking at the following levels: - Public Housing, metropolitan area (LGA level) - Affordable Housing, metropolitan area (LGA level) - Public Housing, regional WA (LGA level) - Affordable Housing, regional WA (LGA level) Detailed methodology for the model is shown here in the attached paper

The Australian Census Longitudinal Dataset (ACLD) is Australia's largest longitudinal dataset bringing together a 5% random sample of around one million records from the 2006 Census with corresponding records from the 2011 Census. It provides a unique opportunity for researchers and policy makers to examine pathways and transitions of population groups, such as unemployed individuals transition into the labour force. Over time, the ACLD will continue to grow as records from each new Census are linked which will further enhance its longitudinal view. The ACLD will also be augmented in the future to take account of migration and births that occur between Censuses.

Nominal Gross Regional Product (GRP) is the total value of goods and services produced during a year, calculated by the division of Western Australia's Gross State Product into Regional Development Commission areas. Nominal GRP is in current prices, and therefore does not take into account the general increase in the price of goods and services over time (inflation). NB: The data is based on ABS Census data, with trend line methodology used between Census years.

The Australian Census Longitudinal Dataset (ACLD) is Australia's largest longitudinal dataset bringing together a 5% random sample of around one million records from the 2006 Census with corresponding records from the 2011 Census. It provides a unique opportunity for researchers and policy makers to examine pathways and transitions of population groups, such as unemployed individuals transition into the labour force. Over time, the ACLD will continue to grow as records from each new Census are linked which will further enhance its longitudinal view. The ACLD will also be augmented in the future to take account of migration and births that occur between Censuses.

As of June 2023, in the state of Western Australia in Australia, about 7.7 percent of the population was between 35 and 39 years old. In comparison, just 1.9 percent of the population was over the age of 85.

Nominal Gross Regional Product (GRP) is the total value of goods and services produced during a year, calculated by the division of Western Australia's Gross State Product into Regional Development Commission areas. Nominal GRP is in current prices, and therefore does not take into account the general increase in the price of goods and services over time (inflation). NB: The data is based on ABS Census data, with trend line methodology used between Census years.

Common Noddies (Anous stolidus) were first recorded on Lancelin Island off south-western Australia in January 1992. A study of the population dynamics of this colony began in the 1994-95 breeding …Show full descriptionCommon Noddies (Anous stolidus) were first recorded on Lancelin Island off south-western Australia in January 1992. A study of the population dynamics of this colony began in the 1994-95 breeding season and was continued for over 10 years, until 2011. The demography of the colony was modelled using information on adult survivorship, age of first breeding and natal recruitment from the analysis of banding-recapture data and annual colony census data.

1859 York district Census. Entry is by name of person, Place of occupation, age, religion, occupation, literacy, arrival ship and date. Details of marriage, wife and children and employer are given. The Western Australian Biographical Index (WABI) is a highly used resource at the State Library of Western Australia. A recent generous contribution by the Friends of Battye Library (FOBS) has enabled SLWA to have the original handwritten index cards scanned and later transcribed. The dataset …Show full description1859 York district Census. Entry is by name of person, Place of occupation, age, religion, occupation, literacy, arrival ship and date. Details of marriage, wife and children and employer are given. The Western Australian Biographical Index (WABI) is a highly used resource at the State Library of Western Australia. A recent generous contribution by the Friends of Battye Library (FOBS) has enabled SLWA to have the original handwritten index cards scanned and later transcribed. The dataset contains: several csv files with data describing card number, card text and url link to image of the original handwritten card. The transcription was crowd-sourced and we are aware that there are some data quality issues including: Some cards are missing Transcripts are crowdsourced so may contain spelling errors and possibly missing information Some cards are crossed out. Some of these are included in the collection and some are not Some of the cards contain relevant information on the back (usually children of the person mentioned). This info should be on the next consecutive card As the information is an index, collected in the 1970s from print material, it is incomplete. It is also unreferenced. It is still a very valuable dataset as it contains a wealth of information about early settlers in Western Australia. It is of particular interest to genealogists and historians

Demographic processes can substantially affect a species’ response to changing ecological conditions, necessitating the combined consideration of genetic responses to environmental variables and neutral genetic variation. Using a seascape genomics approach combined with population demographic modelling, we explored the interplay of demographic and environmental factors that shaped the current population structure in Indo-Pacific bottlenose dolphins (Tursiops aduncus) along most of the Western Australian coastline. We combined large-scale environmental data gathered via remote sensing with RADseq genomic data from 133 individuals at 19 sampling sites. Using population genetic and outlier detection anaylses, we identified three distinct genetic clusters, coinciding with tropical, subtropical and temperate provincial bioregions. In contrast to previous studies, our demographic models indicated that populations occupying the paleo-shoreline split into two demographically independent lineages before the last glacial maximum (LGM). A subsequent split after the LGM gave rise to the Shark Bay population, thereby creating the three currently observed clusters. Although multi-locus heterozygosity declined from north to south, dolphins from the southernmost cluster inhabiting temperate waters had higher heterozygosity in potentially adaptive loci, compared to dolphins from subtropical and tropical waters. These findings suggest ongoing adaptation to cold temperate waters in the southernmost cluster, possibly linked to distinct selective pressures between the different bioregions. Our study demonstrated that in the marine realm, without apparent physical boundaries, only a combined approach can fully elucidate the intricate environmental and genetic interactions shaping the evolutionary trajectory of marine mammals.

This map shows the predominant year of arrival to Australia. 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.Data is from the General Community Profile from the Australian Bureau of Statistics 2016 census. The General Community Profile is new for the 2016 Census. It replaces the 2011 Basic and Expanded Community Profiles and has been created by merging components of both these profiles. It 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.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Download the data here.Data notes:View the Readme files located in the DataPacks and GeoPackages zip files.To access the 2016 DataPacks samples, view the Community Profile, DataPack and TableBuilder Templates publication (cat no. 2079.0)Glossary terms and definitions of classifications can be found in the 2016 Census DictionaryMore information about Census data products is available in the QuickStats, Community Profiles and DataPacks user guide, Australia (Cat no. 2916.0)DataPacks and Geopackages for Western Australia State Electoral Divisions (WA SEDs) may not be correct and should not be used as per Corrections to 2016 Data. Data for these boundaries can be obtained using QuickStats or Census TableBuilder using a geographic recode and following these instructions on working with custom groups. Source: Australian Bureau of Statistics

Graph and download economic data for Value of Exports to Australia from West Virginia (WVAUSA052SCEN) from 1992 to 2017 about Australia, WV, and exports.

The island weeds database contains weed records for 697 islands and 1995 plant species. Data sources cited span between 1913 and 2014. To compound the value of the database, original species identifications were verified by Parks and Wildlife botanists and species names were updated to current taxonomy using the WA census data housed within MAX Version 3.0 (Woodman and Gioia 2016). We do not present any interpretation of the data with this data submission. GPS coordinates for weeds were largely unavailable, so most coordinates provided within the database are island centroids. Woodman, S. & Gioia, P. (2016) Max Version 3. Department of Parks and Wildlife, Perth. Available from: http://www.dpaw.wa.gov.au/max.

Census employment and income data for persons working in creative industries and creative occupations.

This dataset consists of 14 individual datasets that underpin the interactive dashboards on the project's Data Tables webpage.

Project background:

Australian cultural and creative activity: A population and hotspot analysis is an Australian Research Council Linkage project (LP160101724) being undertaken by QUT and the University of Newcastle, in partnership with Arts Queensland, Create NSW, Creative Victoria, Arts South Australia and the Western Australian Department of Local Government, Sport and Cultural Industries.

This comprehensive project aims to grasp the contemporary dynamics of cultural and creative activity in Australia. It brings together population-level and comparative quantitative and qualitative analyses of local cultural and creative activity. The project will paint a complete national picture, while also exploring the factors that are producing local and regional creative hotspots.

Creative hotspots for study were selected in consultation with state research partners:

Queensland – Cairns, Sunshine Coast + Noosa, Gold Coast, Central West Queensland
New South Wales – Coffs Harbour, Marrickville, Wollongong, Albury
Victoria – Geelong + Surf Coast, Ballarat, Bendigo, Wodonga
Western Australia – Geraldton, Fremantle, Busselton, Albany + Denmark
South Australia – to be confirmed shortly

Statistical summaries drawn from a diverse range of data sources including the Australian Census, the Australian Business Register, IP Australia registration data, infrastructure availability lists and creative grants and rights payments as well as our fieldwork, inform hotspot reports.

Graph and download economic data for Number of Identified Exporters to Australia from West Virginia (WVAUSA475SCEN) from 1992 to 2017 about Australia, WV, exports, and business.

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.

1859 York district Census. Entry is by name of person, Place of occupation, age, religion, occupation, literacy, arrival ship and date. Details of marriage, wife and children and employer are given.Show full description1859 York district Census. Entry is by name of person, Place of occupation, age, religion, occupation, literacy, arrival ship and date. Details of marriage, wife and children and employer are given. The Western Australian Biographical Index (WABI) is a highly used resource at the State Library of Western Australia. A recent generous contribution by the Friends of Battye Library (FOBS) has enabled SLWA to have the original handwritten index cards scanned and later transcribed. The dataset contains: several csv files with data describing card number, card text and url link to image of the original handwritten card. The transcription was crowd-sourced and we are aware that there are some data quality issues including: Some cards are missing Transcripts are crowdsourced so may contain spelling errors and possibly missing information Some cards are crossed out. Some of these are included in the collection and some are not Some of the cards contain relevant information on the back (usually children of the person mentioned). This info should be on the next consecutive card As the information is an index, collected in the 1970s from print material, it is incomplete. It is also unreferenced. It is still a very valuable dataset as it contains a wealth of information about early settlers in Western Australia. It is of particular interest to genealogists and historians

This map shows the predominant number of cars per dwelling (0 to 4 vehicles) by Greater Capital City Statistical Area (GCCSA), Local Government Area (LGA), Statistical Area Level 1 (SA1), and State Suburb (SSC) boundaries.Data is from the General Community Profile from the Australian Bureau of Statistics 2016 census. The General Community Profile is new for the 2016 Census. It replaces the 2011 Basic and Expanded Community Profiles and has been created by merging components of both these profiles. It 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.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Download the data here.Data notes:View the Readme files located in the DataPacks and GeoPackages zip files.To access the 2016 DataPacks samples, view the Community Profile, DataPack and TableBuilder Templates publication (cat no. 2079.0)Glossary terms and definitions of classifications can be found in the 2016 Census DictionaryMore information about Census data products is available in the QuickStats, Community Profiles and DataPacks user guide, Australia (Cat no. 2916.0)DataPacks and Geopackages for Western Australia State Electoral Divisions (WA SEDs) may not be correct and should not be used as per Corrections to 2016 Data. Data for these boundaries can be obtained using QuickStats or Census TableBuilder using a geographic recode and following these instructions on working with custom groups. Source: Australian Bureau of Statistics

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

This map shows the percentage of unemployed people in Australia. 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.Data is from the General Community Profile from the Australian Bureau of Statistics 2016 census. The General Community Profile is new for the 2016 Census. It replaces the 2011 Basic and Expanded Community Profiles and has been created by merging components of both these profiles. It 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.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Download the data here.Data notes:View the Readme files located in the DataPacks and GeoPackages zip files.To access the 2016 DataPacks samples, view the Community Profile, DataPack and TableBuilder Templates publication (cat no. 2079.0)Glossary terms and definitions of classifications can be found in the 2016 Census DictionaryMore information about Census data products is available in the QuickStats, Community Profiles and DataPacks user guide, Australia (Cat no. 2916.0)DataPacks and Geopackages for Western Australia State Electoral Divisions (WA SEDs) may not be correct and should not be used as per Corrections to 2016 Data. Data for these boundaries can be obtained using QuickStats or Census TableBuilder using a geographic recode and following these instructions on working with custom groups. Source: Australian Bureau of Statistics