15 datasets found
  1. Countries with the lowest infant mortality rate 2024

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). Countries with the lowest infant mortality rate 2024 [Dataset]. https://www.statista.com/statistics/264717/countries-with-the-lowest-infant-mortality-rate/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    This statistic shows the 20 countries * with the lowest infant mortality rate in 2024. An estimated 1.5 out of 1,000 live births died in the first year of life in Slovenia and Singapore in 2024. Infant mortality Infant mortality rates are often used as an indicator of the health and well-being of a nation. Monaco, Iceland, and Japan are among the top three countries with the lowest infant mortality rates with around 2 infant deaths per 1,000 infants within their first year of life. Generally, the countries with the lowest infant mortality also have some of the highest average life expectancy figures. Additionally, the countries with the highest density of physicians and doctors also generally report low infant mortality. Yet, many different factors contribute to differing rates, including the overall income of a country, health spending per capita, a mother’s level of education, environmental conditions, and medical infrastructure, to name a few. This creates a lot of variation concerning the level of childbirth and infant care around the world. The countries with the highest rates of infant mortality include Afghanistan, Mali, and Somalia. These countries experience around 100 infant deaths per 1,000 infants in their first year of life. While the reasons for high rates of infant mortality are numerous, the leading causes of death for children under the year five around the world are Pneumonia, Diarrhea, and Prematurity.

  2. r

    AIHW - Child and Maternal Health Indicators - Infant and Young Children...

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
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    Government of the Commonwealth of Australia - Australian Institute of Health and Welfare (2023). AIHW - Child and Maternal Health Indicators - Infant and Young Children Deaths (Rate) (PHN) 2010-2016 [Dataset]. https://researchdata.edu.au/aihw-child-maternal-2010-2016/2738946
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    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    This dataset presents the footprint of the percentage of deaths of infants and young children per 1,000 live births. The data spans every two years between 2010-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).

    The Child and Maternal Health Indicators have been calculated from the Australian Institute of Health and Welfare (AIHW) National Mortality Database and Register of Births and National Perinatal Data Collection. This measure has been calculated with the numerator as the number of deaths from birth to less than 5 years, and the denominator as the total number of live births.

    For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Child and Maternal Health Data Tables.

    Please note:

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

    • Deaths are attributed to the area in which the infant or child usually resided, irrespective of where they died.

    • Births are attributed to the area of usual residence of the mother, not location of birth.

    • Deaths are reported by year of registration of death.

    • Data for 2010 have been adjusted for the additional deaths arising from outstanding registrations of deaths in Queensland in 2010.

    • Mortality rates for an area are suppressed for publication and marked as 'NP' if the total number of live births for the area is less than 100.

  3. Child mortality in Australia 1860-2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Child mortality in Australia 1860-2020 [Dataset]. https://www.statista.com/statistics/1041779/australia-all-time-child-mortality-rate/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1860 - 2020
    Area covered
    Australia
    Description

    The child mortality rate in Australia, for children under the age of five, was 391 deaths per thousand births in 1860. This means that just under forty percent of all children born in 1860 did not make it to their fifth birthday. This number dropped drastically over the next ten years, then it remained between 150 and two hundred for the remainder of the 1800s, before dropping consistently from 1900 until today. By 2020, child mortality in Australia is expected to be approximately four deaths per thousand births.

  4. a

    AIHW - Maternity Indicators - Apgar Score of Less than 7 at 5 Minutes for...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Apgar Score of Less than 7 at 5 Minutes for Births at or After Term (%) (SA3) 2014-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-apgar-less-7-sa3-2014-16-sa3
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of live-born babies at or after term with an Apgar score of less than 7 at 5 minutes for births at or after term. This has been calculated with the number of live-born babies at or after term (from 37 completed weeks gestational age) with an Apgar score of less than 7 at 5 minutes, divided by the number of live-born babies born at or after term (from 37 completed weeks gestational age), and multiplied by 100. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS). The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.

  5. Total fertility rate of Australia 1800-2020

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Total fertility rate of Australia 1800-2020 [Dataset]. https://www.statista.com/statistics/1033428/fertility-rate-australia-1800-2020/
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    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    The fertility rate of a country is the average number of children that women from that country will have throughout their reproductive years. In 1800, Australian women of childbearing age would go on to have approximately 6.5 children on average over the course of their lifetime, and this number decreased gradually to just below five in the early 1850s. Over the next ten years the fertility rate increased to 5.7 children per woman, as an influx of migrants arrived on the continent during the Australian gold rushes, however the fertility rate dropped from 1860 until 1935, when it was then just 2.2 children per woman, although there was a small baby boom after the First World War. Australia's fertility rate did rise during the global 'Baby Boom' after the Second World War, reaching 3.4 in the 1960s, but it then dropped to two children per woman in 1980, and it has plateaued just under this number until today.

  6. a

    AIHW - Maternity Indicators - Small Babies Among Births at or After 40 Weeks...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Small Babies Among Births at or After 40 Weeks Gestation (%) (PHN) 2012-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-small-bby-40-wks-gestation-phn-2012-16-phn2015
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of babies born at or after 40 weeks gestation who weighed less than 2,750 grams at birth. This has been calculated with the number of babies born at or after 40 weeks gestation who weighed less than 2,750 grams at birth, divided by the number of babies born at or after 40 weeks gestation, and multiplied by 100. The data spans the years of 2012-2016 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 sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.

  7. a

    AIHW - Maternity Indicators - Caesarean Section for Selected Women Giving...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Caesarean Section for Selected Women Giving Birth for the First Time (%) (PHN) 2012-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-caesarean-first-brth-phn-2012-16-phn2015
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of selected women giving birth for the first time who gave birth by caesarean section. This has been calculated with the number of selected females giving birth for the first time who gave birth by caesarean section, divided by all selected females, and multiplied by 100. The data spans the years of 2012-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). Women included are those who gave birth for the first time and met all of the following criteria: Aged between 20 and 34. Gestational age at birth between 37 and 41 completed weeks. Pregnancy has one baby only (singleton). The presentation of the baby is vertex (baby's head was at the cervix). The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC. For further information about this dataset, please visit: Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables. Metadata Online Registry Entry. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas.

  8. a

    AIHW - Maternity Indicators - Third and Fourth Degree Tears for All Vaginal...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Third and Fourth Degree Tears for All Vaginal Births (%) (PHN) 2013-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-3rd-4th-deg-tear-brth-phn-2013-16-phn2015
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of women who have a third or fourth-degree perineal laceration after giving birth vaginally for all births, by the mother's usual residence. This has been calculated with the number of females who had a third or fourth-degree perineal laceration after giving birth vaginally, divided by the number of females who gave birth vaginally, and multiplied by 100. The data spans the years of 2013-2016 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 sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.

  9. AIHW - Maternity Indicators - Episiotomy for Women having First Birth for...

    • data.gov.au
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    Updated Jul 31, 2025
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    Government of the Commonwealth of Australia - Australian Institute of Health and Welfare (2025). AIHW - Maternity Indicators - Episiotomy for Women having First Birth for Instrumental Vaginal Births (%) (PHN) 2012-2016 [Dataset]. https://data.gov.au/data/dataset/au-govt-aihw-aihw-maternity-indic-episiotomy-fst-brth-instr-phn-2012-16-phn2015
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    htmlAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset provided by
    Australian Institute of Health and Welfarehttp://www.aihw.gov.au/
    Authors
    Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of women who had an episiotomy when giving birth for the first time and giving birth vaginally and instrumentally, by the mother's usual residence. This has been calculated with the number of females having their first baby who had an episiotomy during an instrumental vaginal birth, divided by the number of females having their first baby who gave birth vaginally and had an instrumental vaginal birth, and multiplied by 100. The data spans the years of 2012-2016 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 sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC. For further information about this dataset, please visit:

    Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables.

    Metadata Online Registry Entry.

    Please note:

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

    A birth is defined as an event in which a baby comes out of the uterus after a pregnancy of at least 20 weeks gestation or weighing 400 grams or more.

    Included are those females who gave birth for the first time and had a vaginal birth, with or without instruments. Females who had a multiple birth are included if this was the first time they had given birth.

    Excluded are those females who did not give birth for the first time or gave birth by caesarean section.

    Instrumental vaginal birth means that the baby was delivered with the use of forceps or vacuum extraction.

    Caution should be used when interpreting these results. There was no standardised collection across jurisdictions for the data used to derive this indicator.

    For multiple births, the perineal status after the birth of the first-born baby was used.

    From 2004 to 2013, a combined laceration and episiotomy value could be recorded; from 2014 onwards, episiotomy could be recorded separately.

    Data were not available from Victoria for 2009.

    The sum of the reported 'Grouped by' values may not equal the Australia total.

  10. a

    AIHW - Maternity Indicators - Induction of Labour for Selected Women Giving...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Induction of Labour for Selected Women Giving Birth for the First Time (%) (SA3) 2014-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-induction-labour-fst-brth-sa3-2014-16-sa3
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of selected women who gave birth for the first time and who had labour induced. This has been calculated with the number of selected females who gave birth for the first time and who had labour induced, divided by all selected females, and multiplied by 100. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS). Women included are those who gave birth for the first time and met all of the following criteria: Aged between 20 and 34. Gestational age at birth between 37 and 41 completed weeks. Pregnancy has one baby only (singleton). The presentation of the baby is vertex (baby's head was at the cervix). The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC. For further information about this dataset, please visit: Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables. Metadata Online Registry Entry. Please note: AURIN has spatially enabled the original data. A birth is defined as an event in which a baby comes out of the uterus after a pregnancy of at least 20 weeks gestation or weighing 400 grams or more.

  11. a

    AIHW - Maternity Indicators - Smoking after the First 20 Weeks of Pregnancy...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Smoking after the First 20 Weeks of Pregnancy for Women who Gave Birth (%) (PHN) 2012-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-smk-after-first-20-wks-preg-phn-2012-16-phn2015
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of women who gave birth and reported smoking tobacco after the first 20 weeks of pregnancy and reported smoking at any time during pregnancy, by the mother's usual residence. This has been calculated with the number of females who gave birth and reported smoking after the first 20 weeks of pregnancy, divided by the total number of females who gave birth and reported smoking during pregnancy, and multiplied by 100. The data spans the years of 2012-2016 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 sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.

  12. a

    AIHW - Maternity Indicators - Instrumental Vaginal Birth for Selected Women...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Instrumental Vaginal Birth for Selected Women Giving Birth for the First Time (%) (PHN) 2012-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-instr-vaginal-frst-brth-phn-2012-16-phn2015
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of selected women giving birth for the first time who gave birth by instrumental vaginal birth, by the mother's usual residence. This has been calculated with the number of selected females giving birth for the first time who gave birth by instrumental vaginal birth, divided by all selected females, and multiplied by 100. The data spans the years of 2012-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). Women included are those who gave birth for the first time and met all of the following criteria: Aged between 20 and 34. Gestational age at birth between 37 and 41 completed weeks. Pregnancy has one baby only (singleton). The presentation of the baby is vertex (baby's head was at the cervix). The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.

  13. a

    AIHW - Maternity Indicators - General Anaesthetic for Women Giving Birth by...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - General Anaesthetic for Women Giving Birth by C-section (%) (SA3) 2014-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-anaesthetic-brth-caesarean-sa3-2014-16-sa3
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of women who gave birth by caesarean section and had a general anaesthetic, by the mother's usual residence. This has been calculated with the number of females who gave birth by caesarean section and had a general anaesthetic, divided by the number of females who gave birth by caesarean section and recorded a non-missing value for general anaesthetic, and multiplied by 100. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS). The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.

  14. a

    AIHW - Maternity Indicators - Women having their Second Birth Vaginally...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Women having their Second Birth Vaginally whose First Birth was by C-section (%) (PHN) 2012-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-2nd-brth-vagnlly-1st-c-sec-phn-2012-16-phn2015
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of women having their second birth vaginally whose first birth was by caesarean section, by the mother's usual residence. This has been calculated with the number of females having their second birth vaginally whose first birth was by caesarean section, divided by the number of females having their second birth whose first birth was by caesarean section and multiplied by 100. The data spans the years of 2012-2016 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 sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.

  15. a

    AIHW - Maternity Indicators - Antenatal Care Visit in First Trimester for...

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). AIHW - Maternity Indicators - Antenatal Care Visit in First Trimester for All Women Giving Birth (%) (SA3) 2014-2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-maternity-indic-antenatal-visit-first-tri-sa3-2014-16-sa3
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    Dataset updated
    Mar 6, 2025
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of the percentage of antenatal care visits in the first trimester for all women giving birth, by the mother's usual residence. This has been calculated with the number of females who gave birth and who had their first antenatal care visit (before 14 weeks gestation), divided by the total number of females who gave birth with a stated first antenatal care visit, and multiplied by 100. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS). The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.

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Statista (2025). Countries with the lowest infant mortality rate 2024 [Dataset]. https://www.statista.com/statistics/264717/countries-with-the-lowest-infant-mortality-rate/
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Countries with the lowest infant mortality rate 2024

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Dataset updated
Apr 16, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
Worldwide
Description

This statistic shows the 20 countries * with the lowest infant mortality rate in 2024. An estimated 1.5 out of 1,000 live births died in the first year of life in Slovenia and Singapore in 2024. Infant mortality Infant mortality rates are often used as an indicator of the health and well-being of a nation. Monaco, Iceland, and Japan are among the top three countries with the lowest infant mortality rates with around 2 infant deaths per 1,000 infants within their first year of life. Generally, the countries with the lowest infant mortality also have some of the highest average life expectancy figures. Additionally, the countries with the highest density of physicians and doctors also generally report low infant mortality. Yet, many different factors contribute to differing rates, including the overall income of a country, health spending per capita, a mother’s level of education, environmental conditions, and medical infrastructure, to name a few. This creates a lot of variation concerning the level of childbirth and infant care around the world. The countries with the highest rates of infant mortality include Afghanistan, Mali, and Somalia. These countries experience around 100 infant deaths per 1,000 infants in their first year of life. While the reasons for high rates of infant mortality are numerous, the leading causes of death for children under the year five around the world are Pneumonia, Diarrhea, and Prematurity.

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