During the 2022 FIFA Men's World Cup in Qatar, the Australian team, the 'Socceroos', played a total of four matches. During those matches, midfielder Aaron Mooy topped the team rank for the number of passes with 200 passes, while Craig Goodwin made the most crosses with 19.
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Australian Migration Statistics is a statistical package provided as an accompaniment to the annual publication Australia’s Migration Trends published on the Department of Home Affairs website. The statistical package (first produced for the 2016–17 edition of Australia’s Migration Trends) provides detailed statistics on permanent and temporary migration.
See: Migration trends reports - https://www.homeaffairs.gov.au/research-and-statistics/statistics/visa-statistics/live/migration-program
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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, 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.
During the 2022 FIFA Men's World Cup in Qatar, the Australian team, the 'Socceroos', played a total of four matches and scored the same number of goals. No Australian player received a red card during the tournament, however a yellow card was drawn on seven occasions.
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This dataset presents statistics regarding tourism to specific Local Government Areas (LGA) around Australia. The LGAs covered in the data are a subset of the LGA boundaries classified in the 2018 Australian Statistical Geography Standard (ASGS). The data presents statistics for reason for visit, travel party type and accommodation details for trips to the specified LGAs by their location of origin and visit duration. The data values are representative of a yearly average based on the four years of: 2015, 2016, 2017 and 2018. Tourism Research Australia (TRA) first developed Local Government Area tourism profiles in 2007 to assist industry and Government decision making and to identify and support investment opportunities, particularly in regional Australia. The latest profiles provide an update for over 200 Local Government Areas. Data are drawn from TRA's International Visitor Survey (IVS) and National Visitor Survey (NVS), along with demographic and business data from the Australian Bureau of Statistics (ABS). Profiles were only prepared for Local Government Areas with adequate IVS and NVS sample to present robust results. Further, data are averaged over four years, which minimises the impact of variability in estimates from year to year, and provides for more robust volume estimates. For more information please visit TRA. Please note: AURIN has spatially enabled the original data.
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Overview
Australian plantation statistics is published every five years based on spatial data. It supports strategic forest industry planning and decision-making by presenting information on total plantation area, new planting and ownership. The spatial updates complement two other NPI information products published by ABARES: the annual tabular plantations update and the five-yearly comprehensive log supply forecast report.
In this report, plantation areas are presented for softwood and hardwood plantation types, species by NPI regions, and by state and territory.
Key Issues
• Australia's total commercial plantation area declined by 26 260 hectares from 2013-14, to 1 973 400 hectares in 2014-15. The total softwood plantation area increased by around 11 200 hectares to 1 035 400 hectares and the hardwood plantation area declined by 34 800 hectares to 928 300 hectares in 2014-15. Although the decline has been attributed to a one-year change, the decline has happened over the past five years and is captured in this five-yearly spatial update. The changes are the result of plantation managers revising their area figures, unproductive plantation land being returned to agriculture or to the lessors on the expiration of hardwood plantation lease arrangements.
• The total plantation area decreased in all states and territories except New South Wales and the Northern Territory, for which it increased by 0.8 per cent and 6.5 per cent, respectively, mainly because of improved mapping of plantations. The area of new plantations established in 2014-15 was around 600 hectares, with most planted in the Northern Territory and Queensland. Around 500 hectares of new hardwood plantations and around 100 hectares of softwood plantations were established in 2014-15.
• In 2014-15 Institutional investors owned 50 per cent of the total commercial plantation area. Governments owned 21 per cent, as did Farm forestry and other private growers. The proportion of plantations owned by managed investment schemes (MIS) continued to decline and was around 5 per cent in 2014-15. This was a result of plantations that were previously managed by MIS being sold to institutional and private investors.
There has been a continued upward trend in the population share of active social media users in Australia. As of February 2022, approximately 82.7 percent of the Australian population were active users compared to just 58 percent in 2015.
Preferred social media brands and most popular activities
Facebook was the most popular social media brand in Australia in 2019, with 56 percent saying they used the platform the most often. Elsewhere, 21 percent said they used Instagram and six percent used Snapchat.
Social media is used by Australians for a variety of activities. The most popular use is as a means of communication, with over half of users regularly sending private messages and 50 percent commenting on posts. Active users also post pictures and videos, with 38 percent of users saying they have posted visual content.
When do Australians use social media?
In 2018, most social media use took place during Australians free time; 61 percent said they used social media platforms in the evening, 59 percent were first thing in the morning users, and 42 percent said they logged on during breaks.
Interestingly, when it comes to users being banned from social media, just over half said in 2019 that they somewhat agree that bans are ineffective.
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Aggregated data from the AusTender contract system about Australian Government contracts and procurement statistics.
Below is the 2008/09 to 2011/12 aggregated data which contains the proportion of different contract types split by different categories including Defence vs non-Defence, overseas vs locally sourced and SME vs non-SME for each financial year,
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The Australian Energy Statistics is the authoritative and official source of energy data for Australia and forms the basis of Australia’s international reporting obligations. It is updated annually and consists of detailed historical energy consumption, production and trade statistics.
The Australian Energy Statistics dataset is available in the tables below. The dataset is accompanied by the Australian Energy Update report, which contains an overview and analysis of the latest trends. The Guide to the Australian Energy Statistics contains information on methods, data sources, conversions and historical revisions.
Australian and New Zealand journal of statistics - ResearchHelpDesk - The Australian & New Zealand Journal of Statistics is an international journal managed jointly by the Statistical Society of Australia and the New Zealand Statistical Association. Its purpose is to report significant and novel contributions in statistics, ranging across articles on statistical theory, methodology, applications and computing. The journal has a particular focus on statistical techniques that can be readily applied to real-world problems, and on application papers with an Australasian emphasis. Outstanding articles submitted to the journal may be selected as Discussion Papers, to be read at a meeting of either the Statistical Society of Australia or the New Zealand Statistical Association. The main body of the journal is divided into three sections. The Theory and Methods Section publishes papers containing original contributions to the theory and methodology of statistics, econometrics and probability, and seeks papers motivated by a real problem and which demonstrate the proposed theory or methodology in that situation. There is a strong preference for papers motivated by, and illustrated with, real data. The Applications Section publishes papers demonstrating applications of statistical techniques to problems faced by users of statistics in the sciences, government and industry. A particular focus is the application of newly developed statistical methodology to real data and the demonstration of better use of established statistical methodology in an area of application. It seeks to aid teachers of statistics by placing statistical methods in context. The Statistical Computing Section publishes papers containing new algorithms, code snippets, or software descriptions (for open source software only) which enhance the field through the application of computing. Preference is given to papers featuring publically available code and/or data, and to those motivated by statistical methods for practical problems. In addition, suitable review papers and articles of historical and general interest will be considered. The journal also publishes book reviews on a regular basis. Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Elite (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) CompuMath Citation Index (Clarivate Analytics) Current Index to Statistics (ASA/IMS) Journal Citation Reports/Science Edition (Clarivate Analytics) Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS) RePEc: Research Papers in Economics Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Statistical Theory & Method Abstracts (Zentralblatt MATH) ZBMATH (Zentralblatt MATH)
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Please Note: As announced by the Minister for Immigration and Border Protection on 25 June 2017, the Department of Immigration and Border Protection (DIBP) retired the paper-based Outgoing Passenger Cards (OPC) from 1 July 2017. The information previously gathered via paper-based outgoing passenger cards is now be collated from existing government data and will continue to be provided to users. Further information can be accessed here: http://www.minister.border.gov.au/peterdutton/Pages/removal-of-the-outgoing-passenger-card-jun17.aspx.
Due to the retirement of the OPC, the Australian Bureau of Statistics (ABS) undertook a review of the OAD data based on a new methodology. Further information on this revised methodology is available at: http://www.abs.gov.au/AUSSTATS/abs@.nsf/Previousproducts/3401.0Appendix2Jul%202017?opendocument&tabname=Notes&prodno=3401.0&issue=Jul%202017&num=&view=
A sampling methodology has been applied to this dataset. This method means that data will not replicate, exactly, data released by the ABS, but the differences should be negligible.
Due to ‘Return to Source’ limitations, data supplied to ABS from non-DIPB sources are also excluded.
Overseas Arrivals and Departures (OAD) data refers to the arrival and departure of Australian residents or overseas visitors, through Australian airports and sea ports, which have been recorded on incoming or outgoing passenger cards. OAD data describes the number of movements of travellers rather than the number of travellers. That is, multiple movements of individual persons during a given reference period are all counted. OAD data will differ from data derived from other sources, such as Migration Program Outcomes, Settlement Database or Visa Grant information. Travellers granted a visa in one year may not arrive until the following year, or may not travel to Australia at all. Some visas permit multiple entries to Australia, so travellers may enter Australia more than once on a visa. Settler Arrivals includes New Zealand citizens and other non-program settlers not included on the Settlement Database. The Settlement Database includes onshore processed grants not included in Settler Arrivals.
These de-identified statistics are periodically checked for privacy and other compliance requirements. The statistics were temporarily removed in March 2024 in response to a question about privacy within the emerging technological environment. Following a thorough review and risk assessment, the Department of Home Affairs has republished the dataset.
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This dataset contains statistics for deaths and mortality in Australia. It includes all deaths that occurred and were registered in Australia, including deaths of persons whose place of usual residence was overseas. Deaths of Australian residents that occurred outside Australia may be registered by individual Registrars, but are not included in Australian Bureau of Statistics (ABS) death statistics.
Standardised death rates in this dataset differ from those in the ABS.Stat datasets and commentary. Standardised death rates in this dataset are averaged using data for the three years ending in the reference year. They are calculated for each calendar year and then averaged. Standardised death rates in the ABS.Stat datasets and commentary are based on death registration data for the reference year only. Null values represent data not available for publication
This dataset uses deaths and estimated resident population (ERP) for Local Government Areas (LGA) of Australia for 30 June 2012 to 2020, according to the 2020 edition of the Australian Statistical Geography Standard (ASGS). ERP is final for 2012 to 2016, revised for 2017 to 2019 and preliminary for 2020, based on the 2016 Census of Population and Housing. Data has been sourced from the September 2021 release.
For more information including which ERP was used in this dataset please visit the Australian Bureau of Statistics (ABS) Explanatory Notes.
AURIN has spatially enabled the original data from the ABS with the 2020 LGA boundaries. The original dataset was shipped from the ABS with incorrect codes (LGA19 instead of LGA20). AURIN has modified these codes to reflect the correct LGA 2020 aggregation.
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Publication Hospital resources 2016–17: Australian hospital statistics can be found on the AIHW Website.
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In March 2003, banks and selected Registered Financial Corporations (RFCs) began reporting their international assets, liabilities and country exposures to APRA in ARF/RRF 231 International Exposures. This return is the basis of the data provided by Australia to the Bank for International Settlements (BIS) for its International Banking Statistics (IBS) data collection. APRA ceased the RFC data collection after September 2010.
The IBS data are based on the methodology described in the BIS Guide on International Financial Statistics (see http://www.bis.org/statistics/intfinstatsguide.pdf; Part II International banking statistics). Data reported for Australia, and other countries, on the BIS website are expressed in United States dollars (USD).
Data are recorded on an end-quarter basis.
All banks operating in Australia complete ARF 231. Between March 2003 and September 2010, only those larger RFCs with sizeable overseas assets and/or liabilities completed RRF 231. Bank and RFC positions are reported in Australian dollars (AUD). Non-AUD denominated positions have been converted to AUD using an appropriate end-quarter exchange rate, so changes in reported data between quarters are due not only to changes in positions but also valuation gains or losses due to exchange rate changes.
There are two sets of IBS data: locational data, which are used to gauge the role of banks and financial centres in the intermediation of international capital flows; and consolidated data, which can be used to monitor the country risk exposure of national banking systems. Only locational data are reported in this statistical table.
Some liabilities are reported at market value, but contractual or nominal values are used where market values are not appropriate.
The locational data presented in this statistical table may differ from the balance sheet data reported by banks (and RFCs between March 2003 and September 2010) in their ARF/RRF 320.0 Statement of Financial Position return to APRA (and published in statistical tables B2, B3, B9 and B10). ARF/RRF 231 asks for gross positions to be reported (including on-balance sheet derivatives). However, in ARF/RRF 320.0, derivative positions can be reported on a net asset or net liability basis. This difference is particularly relevant in the case of foreign currency derivative positions with residents in Australia (included in other assets and other liabilities in the locational data).
Data are shown for a selected group of countries that account for the bulk of the total. Similar data for other countries are also available in statistical table B12.2.1.
The positions by country are summed to produce a ‘Total non-residents’ figure that represents reporting entities’ total positions with offshore counterparties in all currencies. The positions shown for Australia are positions with residents in foreign currency.
‘Deposits’ comprise all claims reflecting evidence of deposit – including non-negotiable certificates of deposit – that are not represented by negotiable securities. Thus, loans and deposits include interbank borrowings, loans and inter-office balances, foreign trade-related credits, international loans received and granted, and deposits received and made on a trust basis.
Sale and repurchase transactions (repos) involving the sale of assets (e.g. securities and gold) with a commitment to repurchase the same or similar assets, financial leases, promissory notes, non-negotiable debt securities, endorsement liabilities arising from bills rediscounted abroad and subordinated loans (including subordinated non-negotiable debt securities) are also included as ‘Deposits’.
‘Debt securities issued’ are all negotiable short- and long-term debt instruments (including subordinated issues and issues in an entity’s own name but on behalf of third parties). The classification as international debt securities issued is determined by the place and currency of issue rather than the residence of the issuer as in the case of reporting entities’ holdings of debt securities. This criterion is used due to the difficulty of determining the residence of the current holder of a negotiable instrument.
‘Other liabilities’ include on-balance sheet derivative contracts and working capital received by local branches from their head offices abroad. Accrued interest and items in the course of collection are also included in other assets and liabilities.
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Students and Courses and Apprentices and Trainees: These statistics cover administrative data sets on student enrolments and qualifications attained with approximately 2 million students enrolling on vocation education and training in Australia each year, 400,000 graduates each year, and around 400,000 people in training as part of an apprenticeship or traineeships. Demographic information on students as well as the qualification they are training in and where the training took place are included. Courses are classified by intended occupation on completion, and field of study. Student Outcomes Survey: In addition a graduate destination survey is run capturing information on the quality of training, occupations before and after training, salary, and further education. Under data tab each collection appears and can be selected individually for information excel files and publications, under data data are three resources, Vocstats datacubes, VET Students by Industry, VET Graduates outcomes, salaries and jobs. http://www.ncver.edu.au For an overview of the statistics please see the following publication https://www.ncver.edu.au/publications/publications/all-publications/statistical-standard-software/avetmiss-data-element-definitions-edition-2.2# Datasets to be attributed to National Centre for Vocational Education Research (NCVER). https://www.ncver.edu.au/ Register for VOCSTATS by visiting the website (http://www.ncver.edu.au/wps/portal/vetdataportal/data/menu/vocstats)
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Civilian Population: 15 Years & Over: Male: 25-29 Years data was reported at 1,027.468 Person th in Jan 2025. This records an increase from the previous number of 1,024.726 Person th for Dec 2024. Civilian Population: 15 Years & Over: Male: 25-29 Years data is updated monthly, averaging 701.207 Person th from Feb 1978 (Median) to Jan 2025, with 564 observations. The data reached an all-time high of 1,027.468 Person th in Jan 2025 and a record low of 579.783 Person th in Feb 1978. Civilian Population: 15 Years & Over: Male: 25-29 Years 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.G001: Civilian Population: by Age, Sex and Status.
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There were 22 500 000 Facebook users in Australia in April 2024, which accounted for 82.4% of its entire population. The majority of them were women - 52.9%. People aged 25 to 34 were the largest user group (5 700 000). The highest difference between men and women occurs within people aged 65 and above, where women lead by 1 000 000.
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Australian Sea Freight presents statistics on maritime freight in Australia and shows the trend of Australian sea freight over the most recent ten years. The information presented comprises international and coastal freight statistics, the use of coastal voyage permits, vessel activity at Australian ports, and the size and composition of the Australian trading fleet from 2003-04 to 2012-13.
This dataset does not contain any resources hosted on data.gov.au. It provides a link to the location of the Australian Bureau of Statistics Freedom of Information (FOI) disclosure log to aide in information and data discovery. You can find the FOI Disclosure log here and the Agency's Information Publication Scheme here.
The data.gov.au team is not responsible for the contents of the above linked pages.
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The Australian Infrastructure Statistics Yearbook provides a single comprehensive source of Australian infrastructure statistics time series statistics for measures of transport, energy, communications and water infrastructure and the use of this infrastructure in Australia.
During the 2022 FIFA Men's World Cup in Qatar, the Australian team, the 'Socceroos', played a total of four matches. During those matches, midfielder Aaron Mooy topped the team rank for the number of passes with 200 passes, while Craig Goodwin made the most crosses with 19.