Number of premature and potentially avoidable deaths and premature and potentially avoidable age-standardized mortality rate, by sex, on an annual basis.

Annual age-standardised mortality rates for causes considered avoidable, treatable and preventable by local authorities in England and unitary authorities in Wales, from 2001 to 2003, to 2021 to 2023.

Sector: Health

Algorithm: Deaths of people aged 0-74 whose cause of death is preventable for 10,000 residents

Territorial comparisons: South Tyrol, Italy

MMWR Surveillance Summary 66 (No. SS-1):1-8 found that nonmetropolitan areas have significant numbers of potentially excess deaths from the five leading causes of death. These figures accompany this report by presenting information on potentially excess deaths in nonmetropolitan and metropolitan areas at the state level. They also add additional years of data and options for selecting different age ranges and benchmarks. Potentially excess deaths are defined in MMWR Surveillance Summary 66(No. SS-1):1-8 as deaths that exceed the numbers that would be expected if the death rates of states with the lowest rates (benchmarks) occurred across all states. They are calculated by subtracting expected deaths for specific benchmarks from observed deaths. Not all potentially excess deaths can be prevented; some areas might have characteristics that predispose them to higher rates of death. However, many potentially excess deaths might represent deaths that could be prevented through improved public health programs that support healthier behaviors and neighborhoods or better access to health care services. Mortality data for U.S. residents come from the National Vital Statistics System. Estimates based on fewer than 10 observed deaths are not shown and shaded yellow on the map. Underlying cause of death is based on the International Classification of Diseases, 10th Revision (ICD-10) Heart disease (I00-I09, I11, I13, and I20–I51) Cancer (C00–C97) Unintentional injury (V01–X59 and Y85–Y86) Chronic lower respiratory disease (J40–J47) Stroke (I60–I69) Locality (nonmetropolitan vs. metropolitan) is based on the Office of Management and Budget’s 2013 county-based classification scheme. Benchmarks are based on the three states with the lowest age and cause-specific mortality rates. Potentially excess deaths for each state are calculated by subtracting deaths at the benchmark rates (expected deaths) from observed deaths. Users can explore three benchmarks: “2010 Fixed” is a fixed benchmark based on the best performing States in 2010. “2005 Fixed” is a fixed benchmark based on the best performing States in 2005. “Floating” is based on the best performing States in each year so change from year to year. SOURCES CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES Moy E, Garcia MC, Bastian B, Rossen LM, Ingram DD, Faul M, Massetti GM, Thomas CC, Hong Y, Yoon PW, Iademarco MF. Leading Causes of Death in Nonmetropolitan and Metropolitan Areas – United States, 1999-2014. MMWR Surveillance Summary 2017; 66(No. SS-1):1-8. Garcia MC, Faul M, Massetti G, Thomas CC, Hong Y, Bauer UE, Iademarco MF. Reducing Potentially Excess Deaths from the Five Leading Causes of Death in the Rural United States. MMWR Surveillance Summary 2017; 66(No. SS-2):1–7.

Number of premature and potentially avoidable deaths and premature and potentially avoidable age-standardized mortality rate, by sex, on an annual basis. Premature deaths are those of individuals who are younger than age 75. Avoidable mortality is defined as "untimely deaths that should not occur in the presence of timely and effective health care, including prevention". These data are available at the Canada, Province or territory level.

Treatable and avoidable deaths, by remoteness, that could potentially have been prevented through primary prevention efforts. Mortality from preventable causes is a subset of potentially avoidable mortality.

Number of premature and potentially avoidable deaths and potentially avoidable mortality rate, by sex, on a three-year average basis.

This dataset, released February 2021, contains statistics relating to avoidable mortalities during the year 2014-2018 from the following causes: cancer, diabetes, circulatory systems diseases, respiratory system diseases and external causes. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible. For more information please see the data source notes on the data. Source: Data compiled by PHIDU from deaths data based on the 2014 to 2018 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 is the ABS Estimated Resident Population (ERP), 30 June 2014 to 30 June 2018. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Avoidable mortality (AM) is a simple and practical population-based method of counting untimely and unnecessary deaths from diseases for which effective public health and medical interventions are available. An excess of deaths due to preventable causes should suggest shortcomings in the healthcare system that warrant further attention. Five years of data has been aggregated for all analyses to reduce year-to-year variability in deaths, and the width of confidence intervals for areas with small populations. Data are presented by calendar year (1 Jan to 31 Dec), consistent with the release of mortality data by the Australian Bureau of Statistics.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

Series Name: Under-five mortality rate by sex (deaths per 1 000 live births)Series Code: SH_DYN_MORTRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.2.1: Under-5 mortality rateTarget 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

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.

Supplementary annual data for England and Wales for 2001 to 2023: standardised years of life lost (SYLL) because of causes considered avoidable; age-standardised avoidable, treatable and preventable mortality rates with and without deaths from ischaemic heart disease (IHD); and number of avoidable, treatable and preventable deaths by sex and age.

Life expectancy at birth is decomposed by potentially avoidable causes of death. Changes in mortality rates for a given cause of death change over time and contribute to the overall change in life expectancy.

This table contains 33048 series, with data for years 2006/2008 - 2012/2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (153 items: Canada; Newfoundland and Labrador; Eastern Regional Integrated Health Authority, Newfoundland and Labrador; Central Regional Integrated Health Authority, Newfoundland and Labrador; ...);  Sex (3 items: Both sexes; Males; Females);  Indicators (2 items: Mortality; Potential years of life lost);  Selected causes of death (4 items: Premature mortality; Potentially avoidable mortality; Mortality from preventable causes; Mortality from treatable causes);  Characteristics (9 items: Number; Low 95% confidence interval, number; High 95% confidence interval, number; Rate; ...).

Series Name: Under-five deaths (number)Series Code: SH_DYN_MORTNRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.2.1: Under-5 mortality rateTarget 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

This data is the years of potential life lost (YPLL) before age 75 per 100,000 population from Robert Wood Johnson Foundation County Health Rankings the for the years 2017-2019. This data set contains data for Travis County. YPLL is used to measure of premature mortality that focuses attention on preventable deaths. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/cvz3-7ikr

Avoidable mortality (AM) is a simple and practical population-based method of counting untimely and unnecessary deaths from diseases for which effective public health and medical interventions are available. An excess of deaths due to preventable causes should suggest shortcomings in the healthcare system that warrant further attention. Five years of data has been aggregated for all analyses to reduce year-to-year variability in deaths, and the width of confidence intervals for areas with …Show full descriptionAvoidable mortality (AM) is a simple and practical population-based method of counting untimely and unnecessary deaths from diseases for which effective public health and medical interventions are available. An excess of deaths due to preventable causes should suggest shortcomings in the healthcare system that warrant further attention. Five years of data has been aggregated for all analyses to reduce year-to-year variability in deaths, and the width of confidence intervals for areas with small populations. Data are presented by calendar year (1 Jan to 31 Dec), consistent with the release of mortality data by the Australian Bureau of Statistics.

Series Name: Neonatal deaths (number)Series Code: SH_DYN_NMRTNRelease Version: 2021.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.2.2: Neonatal mortality rateTarget 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

This dataset, released December 2016, contains statistics relating to Deaths from all avoidable causes for males/females/persons aged 0 to 74 years, 2010-2014. The data is by Local Government Area (LGA) 2016 geographic boundaries. For more information please see the data source notes on the data. Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Filessupplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries ofBirths, Deaths and Marriages and the National Coronial Information System. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.