Geoscience Australia has been researching, mapping and documenting earthquakes in Australia and associated regions since 1840. Information about the causes of earthquakes, where earchquakes occur, …Show full descriptionGeoscience Australia has been researching, mapping and documenting earthquakes in Australia and associated regions since 1840. Information about the causes of earthquakes, where earchquakes occur, and emergency management of earthquakes is available on this website. This website allows users to report their experiences during an earthquake, plot a seismogram of a recent erathquake, view recent earthquakes RSS feed, find out more about RSS feeds and view the latest media release. This website also has a worldwide section that allows users to view worldwide earthquakes over the past 24 hours; and regional earthquakes from the last two weeks. The option to view and understand more about RSS feed is also present in the 'worldwide' section of the form. Latest media releases of worldwide earthquakes is also included in the form. You can create your own map by adding layers and details in both Australia and worldwide searches.

The number of potentially avoidable deaths and their cause at age 0 to 74 years with corresponding mortality rates/ratios with respective confidence intervals, 2010 - 2014. The specified causes of death are: cancers, colorectal cancer, breast cancer, circulatory system diseases, ischaemic heart disease, cerebrovascular disease, respiratory system diseases, chronic obstructive pulmonary disease, deaths from select external causes of mortality, suicide and self-inflicted injuries, other external causes of mortality, transport accidents. (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. For information on the avoidable mortality concept please refer to the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://phidu.torrens.edu.au/. Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, and ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014.

HealthStats NSW is a ‘one-stop-shop’ public website bringing together data from many sources to produce statistical information about the health of the NSW population. Users can view and download data and select indicators to produce tailored reports that provide insights into a wide range of health determinants and outcomes, including: • the health status of the NSW population • health inequalities and the determinants of health • the major causes of disease and injury and current health …Show full descriptionHealthStats NSW is a ‘one-stop-shop’ public website bringing together data from many sources to produce statistical information about the health of the NSW population. Users can view and download data and select indicators to produce tailored reports that provide insights into a wide range of health determinants and outcomes, including: • the health status of the NSW population • health inequalities and the determinants of health • the major causes of disease and injury and current health challenges • trends in health and comparisons between age groups and geographic locations. The data in HealthStats NSW cover a range of health risk factors, diseases, locations, and specific populations.

The number of potentially avoidable deaths from all causes by males, females and total people aged 0 to 74 years and their corresponding mortality rates/ratios with respective confidence intervals, …Show full descriptionThe number of potentially avoidable deaths from all causes by males, females and total people aged 0 to 74 years and their corresponding mortality rates/ratios with respective confidence intervals, 2010-14 (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. For information on the avoidable mortality concept, please refer to the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://phidu.torrens.edu.au/. Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, and ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014. Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2016): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

There are various datasets associated with this project, including: Australia (BFG) Initial Carbon and Biomass Pools; Australia (BFG) Carbon Allocation Parameters; Australia (BFG) Climate Parameters; Australia (BFG) Initial N Pools; Australia (BFG) Phenology and Physiology; Australia (BFG) Misc. Plant Properties; Australia (BFG) N:C, Lignin:C Ratios; and Australia (BFG) Site Characteristics. These include information on the location, management history, N inputs, N losses, soil, water, and air.

The study is based on water quality analyses, and ecological surveys of benthic cover, biodiversity, and octocoral community structure. Three groups of ecological attributes were used to discriminate between potential causes of chage: benthos cover, octocoral richness, and community structure.


Field research was carried out in two regions within the Great Barrier Reef (GBR) with differing water quality gradients: one that receives river flood plumes from agricultural areas and one exposed to runoff from catchments with little or no agriculture.


One-off surveys characterised 54 reef sites across the whole continental shelf, and targeted research on 13 inshore reefs between 2000 and 2002. An additional 40 mid- and outer-shelf reef sites were visited within the two regions for cross-shelf one-off surveys of benthic cover and octocoral communities. Surveys were conducted on two sites per reef (windward and leeward sides) at five depth zones per site (0–18 m); each survey at each depth zone covered ;500 m2 of reef area. Survey data were collected on percentage cover of the main benthos groups (hard coral, octocoral, macro algae, turf algae, coralline algae, sand and rubble) and taxonomic inventories and abundance estimates (rating 0–5) of all genera of octocorals.


Ecological attributes with contrasting responses to bleaching, crown-of-thorns seastar predation, runoff, and cyclones were chosen for the study. The chosen attributes were:


1) Benthic cover of hard corals, octocorals, and macroalgae. These are the main groups of organisms usually measured in the assessment of coral reefs, and were expected to respond to changing environmental conditions and disturbances in contrasting ways.


2) Taxonomic richness of zooxanthellate and azooxanthellate octocorals (Anthozoa, Octocorallia; commonly termed ‘‘soft corals’’ and ‘‘sea fans’’). This group contains genera with and without symbiotic algae (called zooxanthellae) in their tissue, the former group depending on water clarity and light for photosynthetic nutrition, whereas the latter group is independent of water clarity (Fabricius and De’ath 2001). Octocorals were chosen as indicators for ecological attributes because of their abundance, and because they respond more specifically to water quality than hard corals; azooxanthellate octocorals (which constitute about half of the genera) do not suffer from coral bleaching, while zooxanthellate octocorals respond strongly to turbidity, probably because of low photosynthetic efficiency (Fabricius and Klumpp 1995). Octocorals are also rarely eaten by crown-of-thorns seastar (De’ath and Moran 1998).


3) Community structure of octocorals on both the inshore target reefs and along the cross-shelf chlorophyll gradient. This measure was chosen because communities are known to respond more strongly to environmental conditions than abundances of the main groups (K. E. Fabricius, unpublished data).


The surveys showed increasing macroalgal cover and decreasing octocoral biodiversity along the gradients within each of the regions, and low hard coral and octocoral cover in the region exposed to terrestrial runoff.

The real value of world agrifood demand is projected to increase by 77 per cent between 2007 and 2050, with most of this increase occurring in Asia. Beef is one commodity where there could be a significant increase in demand, with rising incomes in Asia leading to an increase in demand for higher protein foods, including meat and dairy products. \r \r This study describes Australia's beef supply chains, the industry's reliance on economic infrastructure, and how this infrastructure influences the competitiveness of the Australian beef industry. \r \r While the main constraints appear to be in the road transport sector, the report also identifies telecommunications infrastructure as a potential constraint, with some stakeholders raising concerns about patchy mobile phone coverage and unreliable satellite internet access. \r \r The causes of inefficiencies in road transport are considered, and possible options for addressing them, such as user-pays models, are examined. Further research into the practical effects of introducing such systems is required to better understand the benefits and costs across users. \r \r Collecting data on road use, condition and maintenance costs is a useful first step in addressing inefficiency into road funding allocation systems. Even without road pricing reform, such data can help increase efficiency by guiding funding to better reflect where road use and damage occur. \r

Extracted in machine readable form from the AIHW Mortality Over Regions and Time (MORT) books.\r \r MORT books are Excel workbooks that contain recent deaths data for specific geographical areas, sourced from the AIHW National Mortality Database. They present summary deaths statistics by sex for each geographic area, including counts, rates, median age at death, premature deaths, potential years of life lost and potentially avoidable deaths. The workbooks also present leading causes of death by sex for each geographic area.\r \r The latest MORT books present data for 2019–2023. MORT books from previous years are available on the AIHW website. It should be noted that due to changes in geographical boundaries, disease definitions, cause of death data revisions, and revisions in population data over time, data presented in MORT books from previous years may not match that in later releases.\r \r For more information, please see Deaths data at AIHW or contact us at deaths@aihw.gov.au.\r \r Also available on data.gov.au are the AIHW General Record of Incidence of Mortality (GRIM) books.

The number of potentially avoidable deaths from all causes by males, females and total people aged 0 to 74 years and their corresponding mortality rates/ratios with respective confidence intervals, 2010-14 (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. For information on the avoidable mortality concept, please refer to the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://phidu.torrens.edu.au/. Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, and ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014.

This dataset presents the footprint of the number and rate of overnight admitted mental health-related separations and bed days, with and without specialised psychiatric care by patient location. Overnight admitted patient separations refers to those separations when a patient undergoes a hospital’s formal admission process, completes an episode of care, is in hospital for more than one day and ‘separates’ from the hospital. The data spans the financial year of 2015-2016 and is aggregated to 2017 Department of Health Primary Health Network (PHN) areas, based on the 2016 Australian Statistical Geography Standard (ASGS). The data is sourced from the National Hospital Morbidity Database (NHMD) which is a compilation of episode-level records from admitted patient morbidity data collections in Australian hospitals. It includes demographic, administrative and length of stay data for each hospital separation. Clinical information such as diagnoses, procedures undergone and external causes of injury and poisoning are also recorded. Mental health services in Australia (MHSA) provides a picture of the national response of the health and welfare service system to the mental health care needs of Australians. MHSA is updated progressively throughout each year as data becomes available. The data accompanies the Mental Health Services - In Brief 2018 Web Report. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Mental health services in Australia Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas.

The number of potentially avoidable deaths and their cause at age 0 to 74 years with corresponding mortality rates/ratios with respective confidence intervals, 2010 - 2014. The specified causes of …Show full descriptionThe number of potentially avoidable deaths and their cause at age 0 to 74 years with corresponding mortality rates/ratios with respective confidence intervals, 2010 - 2014. The specified causes of death are: cancers, colorectal cancer, breast cancer, circulatory system diseases, ischaemic heart disease, cerebrovascular disease, respiratory system diseases, chronic obstructive pulmonary disease, deaths from select external causes of mortality, suicide and self-inflicted injuries, other external causes of mortality, transport accidents. (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. For information on the avoidable mortality concept please refer to the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://phidu.torrens.edu.au/. Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, and ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014. Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2016): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

The number of premature deaths at age 0 to 74 years and their corresponding mortality rates/ratios with respective confidence intervals for: cancers, colorectal cancer, lung cancer, breast cancer, circulatory system diseases, ischaemic heart disease, cerebrovascular disease, respiratory system diseases, chronic obstructive pulmonary disease, deaths from external causes, transport accidents, suicide and self-inflicted injuries, 2010 – 2014 (all entries that were classified as not shown, not published or not applicable were assigned a null value). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. The population at the small area level is the ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014, Statistical Areas Level 2; the population standard is the ABS ERP for Australia, 30 June 2010 to 30 June 2014.

TurtleSAT - Turtle Survey and Analysis Tools - is an mobile app and citizen science mapping tool produced by the 1 Million Turtles Community Conservation program, allowing communities to map the location of freshwater turtles in waterways and wetlands across the country.

Australia's freshwater turtles are under serious threat, and they need our help for survival! Mounting evidence now suggests that many turtle species are declining across vast areas of Australia due to widespread drought, fox predation and human activities. To ensure their survival, important evidence needs to be gathered to find out where turtles live and breed, what the major causes of decline are across Australia, how far they disperse, and whether there are important source populations that help populate other areas.

The app invites users assist by recording where they see turtles, their nests, if they are killed on the road, or any other evidence of turtles like skeletal remains.

The TurtleSAT project is being coordinated by Dr Ricky Spencer at the University of Western Sydney in partnership with the University of Sydney, the University of South Australia, the Field Naturalists Society of South Australia and community groups throughout the Murray River region. The Centre for Invasive Species Solutions and NSW Department of Primary Industries support the project through the FeralScan program and its associated web-mapping technology.

The Department for Energy and Mining’s Energy Resources Division (ERD) is responsible for administering the Petroleum and Geothermal Energy Act 2000 (PGE Act) and associated Regulations on behalf of the Minister for Energy and Mining. The PGE Act... The Department for Energy and Mining’s Energy Resources Division (ERD) is responsible for administering the Petroleum and Geothermal Energy Act 2000 (PGE Act) and associated Regulations on behalf of the Minister for Energy and Mining. The PGE Act enables and regulates the exploration, development, production and processing of regulated petroleum, geologic gas storage and geothermal energy resources, and the construction, maintenance and operation of transmission pipelines, for the benefit of South Australians. Since 2006, ERD has prepared an annual compliance report on activities conducted under the PGE Act. This covers both the activities of ERD in administering the PGE Act and an overview of PGE Act licensees’ regulated activities and incident statistics. ERD’s compliance policy emphasises the importance of preventive measures to educate and facilitate a compliant industry, with escalation to persuasive and compulsive measures where necessary (see Figure 5 for the ERD compliance and enforcement pyramid). Compliance monitoring and regulatory assessments occur through the life of a regulated activity including: - at licence issue and during audits of licence annual reports for work program and licence requirements - at the assessment and approval of relevant statements of environmental objectives (SEO) stage; - at the review and approval stage of individual exploration and production activities, facilities and pipelines - during field-based and office-based surveillance and inspections of regulated activities - regulatory surveillance activities associated with licensee management systems - audits of licensee royalty returns - investigations and relevant enforcement actions following incidents - the adequacy of site rehabilitation and fulfilment of requirements prior to licence relinquishment. The key regulatory outcomes and activities undertaken during 2020 are summarised here and provide direction for where to find further detail in the body of this report. Activities: Activity notifications are provided to the Minister prior to the proposed commencement of any regulated activities. A notification may cover one or multiple activities, and provide a good indication of the level of industry activity as shown in the adjacent chart for 2011 to 2020. In 2020 there were 245 activity notifications received by ERD. See Section 2 for further details. Field inspections: Field surveillance trips were conducted across the Cooper–Eromanga, Arrowie, Otway, Officer and Telford basins. From the 85 individual inspections of wellsites, pipelines, associated facilities and infrastructure conducted, 11 sites were identified where environmental improvements were required by the licensee to avoid potential breaches of relevant SEOs. Categories of these potential breaches are illustrated in the adjacent chart, and discussed in Section 4.4. Fitness-for-purpose assessment: Section 86A of the PGE Act requires a fitness-for-purpose (FFP) assessment to be carried out for prescribed licences every 5 years in accordance with the Regulations. The FFP assessments and reviews that were underway or completed in 2020 in relation to facilities, pipelines and wells are tabulated in Section 4.8. Process safety management inspections: In its ongoing assessment for the FFP of the operation of facilities and pipelines, ERD has adopted a process safety management philosophy with a strong focus on demonstrable performance of critical hardware and system controls. A summary of ERD’s process safety inspections are provided in Section 4.8.1. Co-produced water monitoring: The Minister has been assigned a water allocation of 21,900 ML per annum, under the water allocation plan for the Far North Prescribed Wells Area. As part of this assignment, ERD collects, monitors and publishes the average daily volumes of water that are co-produced with regulated resources to ensure that the allocation is not exceeded. As can be seen in the adjacent chart, the average daily co-produced water production is approaching the 60 ML/d allocation and as such ERD is monitoring this closely and working with the Department for Environment and Water to consider its forward management. See Section 4.11. Significant environmental benefit contributions: As a delegate for the South Australian Native Vegetation Council (NVC) under the Native Vegetation Act 1991, ERD enforces the significant environmental benefit (SEB) obligations on licensees relating to vegetation clearances. The Native Vegetation Regulations 2017 and related SEB guideline have replaced the prior Native Vegetation Regulations 2003, with reporting now in SEB points as opposed to hectares. As discussed in Section 4.2 a total of 336.1 hectares of native vegetation was cleared for the 2019–20 financial year. To fulfil their SEB obligations, the 3 operators purchased SEB offset credits in the NVC-approved Gidgealpa Station on-ground offset area managed by the Nature Foundation on behalf of Santos. Incidents: The PGE Act includes objectives pertaining to public safety, security of gas supply, and the protection of the natural environment and of the interests of other land users and landowners. An incident that may impact on compliance with these objectives, or those defined in a specific SEO which an activity is conducted under, must be reported to ERD. The adjacent chart gives a breakdown of all reportable and serious incidents reported to ERD for the year 2020, categorised by incident type. More information on incidents and some discussion of potential root causes is in Section 5. Loss of containment incidents: The number of produced hydrocarbon and other loss of containment (LOC) events are shown in the adjacent chart. As shown above, LOC events comprise the largest category of incidents (71% by number of incidents). In terms of the volume released during the incident events, the total LOC volume of oil to total oil produced shows that this amounted to 0.0004% of total oil produced. The majority of LOC events are of small or negligible volume and can be immediately contained and removed, thereby reducing the potential consequence to the environment. The upstream pipeline (excluding transmission pipeline) LOC incident rates per 1,000 km per year are shown in the adjacent chart for 2010 to 2020. The number of upstream pipeline incidents was greatly reduced in 2016 to 2020 due to a large number of abandonments or replacements of higher risk flowlines in 2016 and significant progress targeting legacy infrastructure. Section 5.2 discusses these LOC incidents in more detail. Root causes of incidents: Inadequate monitoring and inadequate maintenance are consistently the most common determined root causes of incidents reported to ERD. This statistic also highlights the legacy factors confronting the South Australian onshore petroleum industry and, in turn, one of the key regulatory priorities in the short to medium term for ERD. More detailed discussion is provided in Section 5.3. Furthermore, a number of these root causes have become the focus of ERD’s process safety inspections as detailed under Section 4.8.1.

HealthStats NSW is a ‘one-stop-shop’ public website bringing together data from many sources to produce statistical information about the health of the NSW population. Users can view and download data and select indicators to produce tailored reports that provide insights into a wide range of health determinants and outcomes, including:

• the health status of the NSW population • health inequalities and the determinants of health • the major causes of disease and injury and current health challenges • trends in health and comparisons between age groups and geographic locations.

The data in HealthStats NSW cover a range of health risk factors, diseases, locations, and specific populations.

The Australian hair care market, valued at $1.34 billion in 2025, is projected to experience robust growth, driven by rising disposable incomes, increasing awareness of hair health, and a surge in demand for premium and specialized products. The market's Compound Annual Growth Rate (CAGR) of 4.82% from 2019 to 2024 suggests a continued upward trajectory through 2033. Key drivers include the rising popularity of natural and organic hair care products, fueled by growing consumer concerns about harmful chemicals and sustainable practices. Furthermore, the increasing influence of social media and beauty influencers promotes trends and drives product adoption. The market segmentation reveals a strong presence across various distribution channels, with hypermarkets and supermarkets dominating, followed by growing online sales, reflecting evolving consumer preferences and convenience-seeking behavior. Competitive landscape analysis shows the presence of both established multinational corporations like Procter & Gamble, Unilever, and L'Oréal, and smaller niche players catering to specialized needs, indicative of a diverse and dynamic market structure. The significant presence of international players underscores the market's attractiveness and potential for further expansion. However, challenges like price sensitivity among consumers and the increasing prevalence of counterfeit products pose potential restraints. The forecast period (2025-2033) anticipates continued growth across all segments, with premium products, natural ingredients, and convenient online shopping likely to be key growth drivers. Specific segments such as organic shampoos and conditioners, along with hair colorants catering to diverse hair types and ethnicities, are expected to witness above-average growth rates. Understanding these nuances will be crucial for players to effectively navigate the market and capitalize on emerging opportunities. Regional variations within Australia will also likely influence product offerings and marketing strategies, requiring tailored approaches for maximum effectiveness. Recent developments include: August 2023: Dercos by Vichy Laboratories launched its dermatological anti-dandruff shampoo line in Australia, targeting the core causes of dandruff with a proven formula. The product is available in different dermatological warehouses across Australia., October 2022: Epres Brand launched two different hair care products that include an at-home product and a professional in-salon SKU. The products are science-based treatments with the usage of Biodiffusion technology., September 2022: David Mallett's styling brand launched its two new products namely Fresh Eau de Concombre, which is a hair mist product type, and Volume Powder, which helps in retaining hair volume. The brand also introduced the "Pure" product line, which includes a shampoo and conditioner made 96% natural and fragrance-free.. Key drivers for this market are: Increasing Demand for Natural and Organic Hare care Products, Increasing Consumption of Shampoos. Potential restraints include: Increasing Demand for Natural and Organic Hare care Products, Increasing Consumption of Shampoos. Notable trends are: Shampoo Holds a Prominent Share in the Australian Hair Care Market.

The community composition of pelagic copepods near Australia's North West Cape was studied during the austral summers of 1997/1998 and 1998/1999 from sampling from a set of 8 stations along a 36km cross-shelf transect.

Over 120 species of copepods were identified: 60 species of calanoid copepods and 5 harpacticoid copepods.

Familes (number of species) were: Aetideidae (1), Arcartiidae (5), Augaptilidae (2), Calanidae (5), Candaciidae (5), Centropagidae (2), Clausocalanidae (7), Clytemnestridae (1), Coryacaeidae (22), Ectinosomatidae (1), Eucalidae (5), Euchaetidae (2), Euterpinidae (1), Lubbokcidae (1), Lucicutiidae (2), Mecynoceridae (1), Metridinidae (2), Miraciidae (1), Oithonidae (11), Oncaeidae (19), Paracalanidae (15), Pontellidae (5), Pseudodiaptomidae (3), Rhincalanidae (1), Sapphirinidae (2), Scolecitrichidae (2), Temoridae (2), Tisbidae (1), Tortanidae (1).

Data includes information about years, stations (4 off-shore, and 4 inshore, along a cross-shelf transect), the seasons spring (October and November) and summer (December to February) Additional information (not presented here) - Measurements of zooplankton communities (abundances and biomass). Environmental variables were temperature, salinity, density, chlorophyll a and >73µm plankton biomass

Total Distribution Records : 1362

Total Number of Taxa : 106 species, 47 genera

Australia Number of Maternal Death data was reported at 7.000 Person in 2023. This records a decrease from the previous number of 11.000 Person for 2022. Australia Number of Maternal Death data is updated yearly, averaging 18.000 Person from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 24.000 Person in 1992 and a record low of 7.000 Person in 2023. Australia Number of Maternal Death 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: Health Statistics. A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.;WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in maternal mortality estimates 2000 to 2023. Geneva, World Health Organization, 2025;Sum;

The industry has been growing over the long term, as tattoo and piercing services become more popular and online dating causes a surge in demand in the introduction agency services segment. The pandemic created a short-term revenue dip in 2020-21, as lockdowns and restrictions reduced demand for marriage celebrants, personal trainers and other services. However, revenue rebounded quickly in 2021-22 on the back of strong growth in pet ownership, increased savings and rising discretionary incomes. Spending has since been wound back with revenue expected to decline over the two years through 2024-25, as a cost-of-living crisis has started to bite into discretionary spending. However, increased pet ownership during the pandemic and higher demand for luxury pet services has somewhat offset these impacts. Overall, revenue is expected to rise at an annualised 0.8% to $4.1 billion over the five years through 2024-25. This trend includes an anticipated drop of 1.5% in 2024-25, as weak consumer sentiment, stubborn inflation and high interest rates limit spending. Industry revenue growth is projected to strengthen over the next five years but remain subdued compared to long-term trends. Consumer sentiment is set to remain negative over the forecast period, which is likely to constrain any sudden surges in discretionary spending. While interest rates are set to fall and inflation is forecast to ease, cost-of-living pressures will likely remain, limiting growth in profit margins. The surge in pet ownership during the pandemic is forecast to be a major driver of growth in spending over the next few years, supporting pet grooming and boarding services. Additionally, growing uptake of online dating services during the pandemic will likely persist, further supporting revenue growth. Taken together, these factors mean that revenue is forecast to climb at an annualised 1.8% to $4.5 billion through the end of 2029-30.

Total female hospital admissions 2012/13, excluding same-day admissions for dialysis for kidney disease and well babies who are nine days older or less. The data presented are of the number of separations, or completions of the episode of care of a patient in hospital by principal diagnosis (infectious and parasitic diseases, all cancers, mental health related conditions, circulatory system diseases, respiratory system diseases, digestive system diseases, musculoskeletal system and connective tissue diseases, genitourinary system diseases, pregnancy and childbirth, injury, poisoning and other external causes) for Public hospitals and All hospitals (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. Note: Data were not available for private hospitals in Tasmania, the Northern Territory or the Australian Capital Territory. Therefore the ‘all hospitals’ data for these areas has been omitted. Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of State and Territory health departments for 2012/13; and the average of the ABS Estimated Resident Population, 30 June 2012 and 2013.