This dataset presents life expectancy at birth estimates for males, females and persons. This dataset covers the reference period 2010-12 to 2017-19, and is based on Greater Capital City Statistical Areas (GCCSA), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

For further information please visit the Australian Bureau of Statistics.

Internationally, life tables are used to measure mortality. In its simplest form, a life table is generated from age-specific death rates and the resulting values are used to measure mortality, survivorship and life expectancy. The life table depicts the mortality experience of a hypothetical group of newborn babies throughout their entire lifetime. It is based on the assumption that this group is subject to the age-specific mortality rates of the reference period. Typically this hypothetical group is 100,000 persons in size.

AURIN has spatially enabled the original data.

This dataset presents life expectancy at birth estimates for males, females and persons. This dataset covers the reference period 2010-12 to 2017-19, and is based on Statistical Area Level 4 (SA4), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

For further information please visit the Australian Bureau of Statistics.

Internationally, life tables are used to measure mortality. In its simplest form, a life table is generated from age-specific death rates and the resulting values are used to measure mortality, survivorship and life expectancy. The life table depicts the mortality experience of a hypothetical group of newborn babies throughout their entire lifetime. It is based on the assumption that this group is subject to the age-specific mortality rates of the reference period. Typically this hypothetical group is 100,000 persons in size.

AURIN has spatially enabled the original data.

This dataset presents the footprint of the average number of years a person is expected to live at birth by sex, assuming that the current age-specific death rates are experienced throughout their life. The data spans the years of 2011-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).

The data is based on the Australian Institute of Health and Welfare (AIHW) analysis of life expectancy estimates as provided by the Australian Bureau of Statistics (ABS). Life expectancies at birth were calculated with reference to state/territory and Australian life tables (where appropriate) for a three year period. The disaggregation used for reporting life expectancy at birth is PHN area. These values are provided by the ABS.

For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Life Expectancy and Potentially Avoidable Deaths 2014-2016 Data Tables.

Please note:

• AURIN has spatially enabled the original data using the Department of Health - PHN Areas.

• Life expectancy for 2014-2016 are based on the average number of deaths over three years, 2014-2016, and the estimated resident population (ERP) as at 30 Jun 2015.

This dataset presents the footprint of the rate of potentially avoidable deaths per 100,000 people, age-standardised, by sex. Potentially avoidable deaths are deaths below the age of 75 from conditions that are potentially preventable through individualised care and/or treatable through existing primary or hospital care. The data spans the years of 2009-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). The data is based on analysis of the Australian Institute of Health and Welfare (AIHW) National Mortality Database (NMD). The database includes cause of death information which is sourced from the Registrars of Births, Deaths and Marriages in each state and territory, the National Coronial Information System, and compiled and coded by the Australian Bureau of Statistics (ABS). For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Life Expectancy and Potentially Avoidable Deaths 2014-2016 Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. Rates have been age-standardised to facilitate comparisons between populations with different age structures.

Source: AIHW Burden of Disease Studies 2011, 2015 and 2018.

Updated 8 March 2023

Table: HALE at birth for ACT and Australia, 2011 to 2018

Australia Life Expectancy at Birth: Female data was reported at 85.300 Year in 2022. This records a decrease from the previous number of 85.400 Year for 2021. Australia Life Expectancy at Birth: Female data is updated yearly, averaging 80.400 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 85.400 Year in 2021 and a record low of 74.000 Year in 1960. Australia Life Expectancy at Birth: Female 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. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.;(1) United Nations Population Division. World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;

This dataset presents the life tables for males and females for the reference period 2008-2015. It contains life expectancy at birth estimates for males, females and persons for Statistical Area Level 4 (SA4). Boundaries are based on ABS ASGS 2011.

For further information please visit the Australian Bureau of Statistics

AURIN has spatially enabled the original data.

Australia Life Expectancy at Birth: Male data was reported at 81.200 Year in 2022. This records a decrease from the previous number of 81.300 Year for 2021. Australia Life Expectancy at Birth: Male data is updated yearly, averaging 74.300 Year from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 81.300 Year in 2021 and a record low of 67.600 Year in 1966. Australia Life Expectancy at Birth: Male 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. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.;(1) United Nations Population Division. World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.;Weighted average;

This dataset presents the footprint of statistics related to deaths due to all causes (combined) by sex. The reported statistics include year of death, total deaths, crude rates, age-standardised rates, rate ratio, median age at death, premature deaths, potential years of life lost and potentially avoidable deaths. The data spans the years of 2012-2016 and is aggregated to Local Government Area (LGA) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS).

Mortality Over Regions and Time (MORT) books are workbooks that contain recent deaths data for specific geographical areas, sourced from the Australian Institute of Health and Welfare (AIHW) National Mortality Database. They present various statistics related to deaths by all causes and leading causes of death by sex for each geographical area.

For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - MORT Books.

Please note:

• AURIN has spatially enabled the original data.

• Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.

• Year refers to the year of registration of death. Deaths registered in 2013 and earlier are based on the final version of the cause of death data; deaths registered in 2014 are based on revised version; deaths registered in 2015 and 2016 are based on preliminary versions. Revised and preliminary versions are subject to further revision by the ABS.

• Cause of death information are based on the underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).

• Unknown/missing includes deaths where place of usual residence was overseas, no fixed abode, offshore and migratory, and undefined. Summary measures and cause of death data are not presented for any LGA with less than 10 deaths in a single year.

• Population counts are based on estimated resident populations at 30 June for each year. Australian estimated resident population data are sourced from Australian demographic statistics (ABS cat. no. 3101.0).

The Burden of Disease study uses methods developed originally for the Global Burden of Disease study refined and adapted to the Victorian context. It provides a comprehensive assessment of the amount of ill health in Victoria, Australia, measured in Years of Life Lost (YLL) arising from most diseases and injuries.

Years of Life Lost are the mortality component of the DALY determined for each cause of death by the remaining life expectancy at the age of death.

The Burden of Disease 'data' are modelled estimates, using methods developed originally for the Global Burden of Disease study but refined and adapted to the Victorian context

This dataset presents the footprint of statistics related to the leading causes of death by sex. The reported statistics include cause of death, ranking, total deaths, crude rates, age-standardised rates and rate ratio. The data spans the period between 2012-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS).

Mortality Over Regions and Time (MORT) books are workbooks that contain recent deaths data for specific geographical areas, sourced from the Australian Institute of Health and Welfare (AIHW) National Mortality Database. They present various statistics related to deaths by all causes and leading causes of death by sex for each geographical area.

For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - MORT Books.

Please note:

• AURIN has spatially enabled the original data.

• Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.

• Year refers to the year of registration of death. Deaths registered in 2013 and earlier are based on the final version of the cause of death data; deaths registered in 2014 are based on revised version; deaths registered in 2015 and 2016 are based on preliminary versions. Revised and preliminary versions are subject to further revision by the ABS.

• Cause of death information are based on the underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).

• Unknown/missing includes deaths where place of usual residence was overseas, no fixed abode, offshore and migratory, and undefined. Summary measures and cause of death data are not presented for any SA3 with less than 10 deaths in a single year.

• Population counts are based on estimated resident populations at 30 June for each year. Australian estimated resident population data are sourced from Australian demographic statistics (ABS cat. no. 3101.0).

The Burden of Disease study uses methods developed originally for the Global Burden of Disease study refined and adapted to the Victorian context. It provides a comprehensive assessment of the amount of ill health in Victoria, Australia, measured in disability-adjusted life years (DALYs) arising from most diseases and injuries.

Expectancy at birth in 2001 is the expected average life span of a child born in 2001; if prevailing mortality rates would continue indefinitely into the future.

This dataset presents the footprint of statistics related to the leading causes of death by sex. The reported statistics include cause of death, ranking, total deaths, crude rates, age-standardised rates and rate ratio. The data spans the period between 2012-2016 and is aggregated to Greater Capital City Statistical Area (GCCSA) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS).

Mortality Over Regions and Time (MORT) books are workbooks that contain recent deaths data for specific geographical areas, sourced from the Australian Institute of Health and Welfare (AIHW) National Mortality Database. They present various statistics related to deaths by all causes and leading causes of death by sex for each geographical area.

For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - MORT Books.

Please note:

• AURIN has spatially enabled the original data.

• Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.

• Year refers to the year of registration of death. Deaths registered in 2013 and earlier are based on the final version of the cause of death data; deaths registered in 2014 are based on revised version; deaths registered in 2015 and 2016 are based on preliminary versions. Revised and preliminary versions are subject to further revision by the ABS.

• Cause of death information are based on the underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).

• Unknown/missing includes deaths where place of usual residence was overseas, no fixed abode, offshore and migratory, and undefined. Summary measures and cause of death data are not presented for any GCCSA with less than 10 deaths in a single year; they are not presented for 'Other territories' because there were only 42 deaths recorded in 2012-2016.

• Population counts are based on estimated resident populations at 30 June for each year. Australian estimated resident population data are sourced from Australian demographic statistics (ABS cat. no. 3101.0).

This dataset presents the footprint of death data by sex, sourced from the AIHW National Mortality Database. They present statistics by sex for each geographical area, including counts, rates, median age at death, premature deaths, potential years of life lost and potentially avoidable deaths. The data spans the years 2010 to 2014 and is aggregated to Local Government Area (LGA) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).

For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - MORT Books.

Please note:

• AURIN has spatially enabled the original data.

This material is part of the free Environmental Performance in Construction (EPiC) Database. The EPiC Database contains embodied environmental flow coefficients for 250+ construction materials using a comprehensive hybrid life cycle inventory approach.Portland cement (also known as common or general-purpose cement) is manufactured from limestone, clay and gypsum. A range of additional minerals or additives can be added to control the properties of the finished cement.Limestone and other raw materials are heated at over 1 000°C to produce clinker. The clinker is then mixed with gypsum and ground into a fine powder to produce Portland cement. Portland cement is typically used as a binder for concrete and cement-based products, such as fibre cement sheet and cement mortar. When mixed with water it forms a workable slurry that undergoes a process known as hydration, setting within a few hours and forming its final hardened state within weeks.

The Burden of Disease study uses methods developed originally for the Global Burden of Disease study refined and adapted to the Victorian context. It provides a comprehensive assessment of the amount of ill health in Victoria, Australia, measured in Ranking of Years of Life Lost and top 50 causes arising from most diseases and injuries.

Years of Life Lost are the mortality component of the DALY determined by the remaining Life Expectancy at the age of death. The Burden of Disease 'data' are modelled estimates, using methods developed originally for the Global Burden of Disease study but refined and adapted to the Victorian context.

Compilation of input-output data used in Crawford, R.H., Stephan, A., Bontinck, P-A (2018) A hybrid life cycle inventory database for Australia. Four files are provided, including the Australian supply-use table for 2014-15 as published by the Australian Bureau of Statistics. Three environmental flows are also provided (energy, water, carbon), and each file provide the details of the calculation done on the original data.

This dataset contains data from WHO's data portal covering the following categories:

Adolescent, Ageing, Air pollution, Assistive technology, Child, Child mortality, Cross-cutting, Dementia diagnosis, treatment and care, Environment and health, Foodborne Diseases Estimates, Global Dementia Observatory (GDO), Global Health Estimates: Life expectancy and leading causes of death and disability, Global Information System on Alcohol and Health, Global Patient Safety Observatory, Global strategy, HIV, Health financing, Health systems, Health taxes, Health workforce, Hepatitis, Immunization coverage and vaccine-preventable diseases, Malaria, Maternal and newborn, Maternal and reproductive health, Mental health, Neglected tropical diseases, Noncommunicable diseases, Nutrition, Oral Health, Priority health technologies, Resources for Substance Use Disorders, Road Safety, SDG Target 3.8 | Achieve universal health coverage (UHC), Sexually Transmitted Infections, Tobacco control, Tuberculosis, Vaccine-preventable communicable diseases, Violence prevention, Water, sanitation and hygiene (WASH), World Health Statistics.

For links to individual indicator metadata, see resource descriptions.

This dataset provides values for RETIREMENT AGE MEN reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.