71 datasets found
  1. T

    Australia Sex Ratio At Birth Male Births Per Female Births

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 8, 2017
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    TRADING ECONOMICS (2017). Australia Sex Ratio At Birth Male Births Per Female Births [Dataset]. https://tradingeconomics.com/australia/sex-ratio-at-birth-male-births-per-female-births-wb-data.html
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jun 8, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Australia
    Description

    Actual value and historical data chart for Australia Sex Ratio At Birth Male Births Per Female Births

  2. A

    Australia AU: Sex Ratio at Birth: Male Births per Female Births

    • ceicdata.com
    Updated Nov 30, 2022
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    CEICdata.com (2022). Australia AU: Sex Ratio at Birth: Male Births per Female Births [Dataset]. https://www.ceicdata.com/en/australia/population-and-urbanization-statistics/au-sex-ratio-at-birth-male-births-per-female-births
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    Dataset updated
    Nov 30, 2022
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Australia
    Variables measured
    Population
    Description

    Australia Sex Ratio at Birth: Male Births per Female Births data was reported at 1.056 Ratio in 2023. This stayed constant from the previous number of 1.056 Ratio for 2022. Australia Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.056 Ratio from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 1.060 Ratio in 2017 and a record low of 1.048 Ratio in 1971. Australia Sex Ratio at Birth: Male Births per Female Births 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: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;

  3. A

    Australia Employment to Population Ratio: Not Married: 55-59 Years

    • ceicdata.com
    Updated Nov 26, 2025
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    CEICdata.com (2025). Australia Employment to Population Ratio: Not Married: 55-59 Years [Dataset]. https://www.ceicdata.com/en/australia/employment-to-population-ratio-by-age-sex-and-status/employment-to-population-ratio-not-married-5559-years
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    Dataset updated
    Nov 26, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Australia
    Description

    Australia Employment to Population Ratio: Not Married: 55-59 Years data was reported at 65.150 % in Feb 2025. This records an increase from the previous number of 63.745 % for Jan 2025. Australia Employment to Population Ratio: Not Married: 55-59 Years data is updated monthly, averaging 50.195 % from Feb 1978 (Median) to Feb 2025, with 565 observations. The data reached an all-time high of 68.279 % in Feb 2022 and a record low of 37.239 % in Nov 1992. Australia Employment to Population Ratio: Not Married: 55-59 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G032: Employment to Population Ratio: by Age, Sex and Status.

  4. A

    Australia Employment to Population Ratio: Male: 30-34 Years

    • ceicdata.com
    Updated May 16, 2025
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    CEICdata.com (2025). Australia Employment to Population Ratio: Male: 30-34 Years [Dataset]. https://www.ceicdata.com/en/australia/employment-to-population-ratio-by-age-sex-and-status
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    Dataset updated
    May 16, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Australia
    Description

    Employment to Population Ratio: Male: 30-34 Years data was reported at 89.017 % in Mar 2025. This records a decrease from the previous number of 89.923 % for Feb 2025. Employment to Population Ratio: Male: 30-34 Years data is updated monthly, averaging 88.464 % from Feb 1978 (Median) to Mar 2025, with 566 observations. The data reached an all-time high of 94.043 % in Oct 1980 and a record low of 82.915 % in Jun 2020. Employment to Population Ratio: Male: 30-34 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G032: Employment to Population Ratio: by Age, Sex and Status.

  5. A

    Australia Employment to Population Ratio: Married: 35-44 Years

    • ceicdata.com
    Updated May 16, 2025
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    CEICdata.com (2025). Australia Employment to Population Ratio: Married: 35-44 Years [Dataset]. https://www.ceicdata.com/en/australia/employment-to-population-ratio-by-age-sex-and-status
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    Dataset updated
    May 16, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Australia
    Description

    Employment to Population Ratio: Married: 35-44 Years data was reported at 88.272 % in Mar 2025. This records a decrease from the previous number of 88.613 % for Feb 2025. Employment to Population Ratio: Married: 35-44 Years data is updated monthly, averaging 80.339 % from Feb 1978 (Median) to Mar 2025, with 566 observations. The data reached an all-time high of 89.337 % in Dec 2024 and a record low of 70.669 % in Jan 1984. Employment to Population Ratio: Married: 35-44 Years data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G032: Employment to Population Ratio: by Age, Sex and Status.

  6. Estimated Resident Population by Country of Birth, Median Age and Sex Ratio

    • data.gov.au
    • data.wu.ac.at
    html
    Updated Oct 24, 2016
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    Australian Bureau of Statistics (2016). Estimated Resident Population by Country of Birth, Median Age and Sex Ratio [Dataset]. https://data.gov.au/data/dataset/estimated-resident-population-by-country-of-birth-median-age-and-sex-ratio
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    htmlAvailable download formats
    Dataset updated
    Oct 24, 2016
    Dataset provided by
    Australian Bureau of Statisticshttp://abs.gov.au/
    License

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

    Description

    The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only.

  7. Population breakdown Australia 2011-2024 by gender

    • statista.com
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    Statista, Population breakdown Australia 2011-2024 by gender [Dataset]. https://www.statista.com/statistics/608530/australia-population-by-gender/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    As of June 2024, about 13.69 million females and 13.5 million males lived in Australia. The population of both sexes has been increasing consistently with slightly more females than males.

  8. d

    Data from: Incomplete offspring sex bias in Australian populations of the...

    • search.dataone.org
    • datasetcatalog.nlm.nih.gov
    • +4more
    Updated Jul 1, 2025
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    Darrell J. Kemp; Fiona E. Thomson; Will Edwards; Iñaki Iturbe-Ormaetxe (2025). Incomplete offspring sex bias in Australian populations of the butterfly Eurema hecabe [Dataset]. http://doi.org/10.5061/dryad.44t2n
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    Dataset updated
    Jul 1, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Darrell J. Kemp; Fiona E. Thomson; Will Edwards; Iñaki Iturbe-Ormaetxe
    Time period covered
    Jul 4, 2020
    Description

    Theory predicts unified sex ratios for most organisms, yet biases may be engendered by selfish genetic elements such as endosymbionts that kill or feminize individuals with male genotypes. Although rare, feminization is established for Wolbachia-infected Eurema butterflies. This paradigm is presently confined to islands in the southern Japanese archipelago, where feminized phenotypes produce viable all-daughter broods. Here, we characterize sex bias for E. hecabe in continental Australia. Starting with 186 wild-caught females, we reared >6000 F1–F3 progeny in pedigree designs that incorporated selective antibiotic treatments. F1 generations expressed a consistent bias across 2 years and populations that was driven by an ~5% incidence of broods comprising greater than or equal to80% daughters. Females from biased lineages continued to overproduce daughters over two generations of outcrossing to wild males. Treatment with antibiotics of differential strength influenced sex ratio only i...

  9. Population distribution Australia 2024 by age

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Population distribution Australia 2024 by age [Dataset]. https://www.statista.com/statistics/608088/australia-age-distribution/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    In June 2022, it was estimated that around 7.3 percent of Australians were aged between 25 and 29, and the same applied to people aged between 30 and 34. All in all, about 55 percent of Australia’s population was aged 35 years or older as of June 2022. At the same time, the age distribution of the country also shows that the share of children under 14 years old was still higher than that of people over 65 years old. A breakdown of Australia’s population growth Australia is the sixth-largest country in the world, yet with a population of around 26 million inhabitants, it is only sparsely populated. Since the 1970s, the population growth of Australia has remained fairly constant. While there was a slight rise in the Australian death rate in 2022, the birth rate of the country decreased after a slight rise in the previous year. The fact that the birth rate is almost double the size of its death rate gives the country one of the highest natural population growth rates of any high-income country.
    National distribution of the population Australia’s population is expected to surpass 28 million people by 2028. The majority of its inhabitants live in the major cities. The most populated states are New South Wales, Victoria, and Queensland. Together, they account for over 75 percent of the population in Australia.

  10. f

    Maternal characteristics of mothers giving birth in Australia (WA, NSW) by...

    • plos.figshare.com
    xls
    Updated May 28, 2025
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    Amanuel Tesfay Gebremedhin; Gizachew A. Tessema; Ravisha Srinivasjois; Judith A. Daire; Kevin A. Chai; Bereket Duko; Kalayu Brhane Mruts; Gavin Pereira (2025). Maternal characteristics of mothers giving birth in Australia (WA, NSW) by mother’s country of birth, 1994–2015. [Dataset]. http://doi.org/10.1371/journal.pgph.0004672.t001
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    xlsAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Amanuel Tesfay Gebremedhin; Gizachew A. Tessema; Ravisha Srinivasjois; Judith A. Daire; Kevin A. Chai; Bereket Duko; Kalayu Brhane Mruts; Gavin Pereira
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New South Wales, Western Australia, Australia
    Description

    Maternal characteristics of mothers giving birth in Australia (WA, NSW) by mother’s country of birth, 1994–2015.

  11. Child Mortality Estimation: Estimating Sex Differences in Childhood...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Cheryl Chriss Sawyer (2023). Child Mortality Estimation: Estimating Sex Differences in Childhood Mortality since the 1970s [Dataset]. http://doi.org/10.1371/journal.pmed.1001287
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cheryl Chriss Sawyer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionProducing estimates of infant (under age 1 y), child (age 1–4 y), and under-five (under age 5 y) mortality rates disaggregated by sex is complicated by problems with data quality and availability. Interpretation of sex differences requires nuanced analysis: girls have a biological advantage against many causes of death that may be eroded if they are disadvantaged in access to resources. Earlier studies found that girls in some regions were not experiencing the survival advantage expected at given levels of mortality. In this paper I generate new estimates of sex differences for the 1970s to the 2000s. Methods and FindingsSimple fitting methods were applied to male-to-female ratios of infant and under-five mortality rates from vital registration, surveys, and censuses. The sex ratio estimates were used to disaggregate published series of both-sexes mortality rates that were based on a larger number of sources. In many developing countries, I found that sex ratios of mortality have changed in the same direction as historically occurred in developed countries, but typically had a lower degree of female advantage for a given level of mortality. Regional average sex ratios weighted by numbers of births were found to be highly influenced by China and India, the only countries where both infant mortality and overall under-five mortality were estimated to be higher for girls than for boys in the 2000s. For the less developed regions (comprising Africa, Asia excluding Japan, Latin America/Caribbean, and Oceania excluding Australia and New Zealand), on average, boys' under-five mortality in the 2000s was about 2% higher than girls'. A number of countries were found to still experience higher mortality for girls than boys in the 1–4-y age group, with concentrations in southern Asia, northern Africa/western Asia, and western Africa. In the more developed regions (comprising Europe, northern America, Japan, Australia, and New Zealand), I found that the sex ratio of infant mortality peaked in the 1970s or 1980s and declined thereafter. ConclusionsThe methods developed here pinpoint regions and countries where sex differences in mortality merit closer examination to ensure that both sexes are sharing equally in access to health resources. Further study of the distribution of causes of death in different settings will aid the interpretation of differences in survival for boys and girls. Please see later in the article for the Editors' Summary.

  12. d

    ABS - Regional Population - Summary Statistics (LGA) 2018

    • data.gov.au
    ogc:wfs, wms
    Updated Mar 9, 2019
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    (2019). ABS - Regional Population - Summary Statistics (LGA) 2018 [Dataset]. https://data.gov.au/dataset/ds-aurin-aurin%3Adatasource-AU_Govt_ABS-UoM_AURIN_DB_3_abs_regional_population_summary_lga_2018
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    wms, ogc:wfsAvailable download formats
    Dataset updated
    Mar 9, 2019
    Description

    This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2018, this includes population by sex, median age by sex and percentage of the …Show full descriptionThis dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2018, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to the 2018 edition of the Local Government Areas (LGA). Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period. This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics. For more information please visit the Explanatory Notes. AURIN has spatially enabled the data. Regions which contain unpublished data have been left blank in the dataset. Where regions have zero population, the relating ratio and percentage columns have been left blank. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2019): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)

  13. g

    ABS - Regional Population - Summary Statistics (LGA) 2017 | gimi9.com

    • gimi9.com
    Updated Mar 9, 2019
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    (2019). ABS - Regional Population - Summary Statistics (LGA) 2017 | gimi9.com [Dataset]. https://gimi9.com/dataset/au_au-govt-abs-abs-regional-population-summary-lga-2017-lga2017/
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    Dataset updated
    Mar 9, 2019
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2017, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to the 2017 edition of the Local Government Areas (LGA). Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period. This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics. For more information please visit the Explanatory Notes. AURIN has spatially enabled the data. Regions which contain unpublished data have been left blank in the dataset. Where regions have zero population, the relating ratio and percentage columns have been left blank.

  14. A

    Australia Employment to Population Ratio: Female

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Australia Employment to Population Ratio: Female [Dataset]. https://www.ceicdata.com/en/australia/employment-to-population-ratio-by-age-sex-and-status/employment-to-population-ratio-female
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Australia
    Description

    Australia Employment to Population Ratio: Female data was reported at 60.550 % in Feb 2025. This records an increase from the previous number of 59.773 % for Jan 2025. Australia Employment to Population Ratio: Female data is updated monthly, averaging 51.623 % from Feb 1978 (Median) to Feb 2025, with 565 observations. The data reached an all-time high of 61.138 % in Dec 2024 and a record low of 38.558 % in Jan 1983. Australia Employment to Population Ratio: Female data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G032: Employment to Population Ratio: by Age, Sex and Status.

  15. Breakdown of YouTube users by age and gender in Australia 2022

    • statista.com
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    Statista, Breakdown of YouTube users by age and gender in Australia 2022 [Dataset]. https://www.statista.com/statistics/1373431/australia-breakdown-of-youtube-users-by-age-and-gender/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Australia
    Description

    In Australia in 2022, ***** percent of female YouTube users were aged between 18 and 24, and ***** percent of male users were aged between 25 and 34. Well over **** of the platform's user base were aged between 18 and 34.

  16. r

    ABS - Regional Population - Summary Statistics (LGA) 2019

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
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    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). ABS - Regional Population - Summary Statistics (LGA) 2019 [Dataset]. https://researchdata.edu.au/abs-regional-population-lga-2019/2747913
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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 Bureau of Statistics
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2019, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to the 2019 edition of the Local Government Areas (LGA).

    Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

    This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

    For more information please visit the Explanatory Notes.

    • AURIN has spatially enabled the data.

    • Regions which contain unpublished data have been left blank in the dataset.

    • Where regions have zero population, the relating ratio and percentage columns have been left blank.

  17. r

    ABS - Regional Population - Summary Statistics (SA2) 2019

    • researchdata.edu.au
    null
    Updated Oct 2, 2020
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    Australian Urban Research Infrastructure Network (AURIN) (2020). ABS - Regional Population - Summary Statistics (SA2) 2019 [Dataset]. https://researchdata.edu.au/abs-regional-population-sa2-2019/1593105
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    nullAvailable download formats
    Dataset updated
    Oct 2, 2020
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2019, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to Statistical Areas Level 2 (SA2), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

    Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

    This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics: https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3235.02019?OpenDocument.

    For more information please visit the Explanatory Notes: https://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/3235.0Explanatory%20Notes12019?OpenDocument. * AURIN has spatially enabled the data. * Regions which contain unpublished data have been left blank in the dataset. * Where regions have zero population, the relating ratio and percentage columns have been left blank.

  18. w

    Gene flow of Holothuria scabra populations along the north-east coast of...

    • data.wu.ac.at
    • researchdata.edu.au
    html
    Updated Oct 9, 2017
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    Australian Institute of Marine Science (2017). Gene flow of Holothuria scabra populations along the north-east coast of Australia, Torres Strait and the Solomon Islands [Dataset]. https://data.wu.ac.at/schema/data_gov_au/YWFlM2VhM2EtYzVmOC00MGU1LTliYzAtNzA3ZGMyZmNmMGFh
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    htmlAvailable download formats
    Dataset updated
    Oct 9, 2017
    Dataset provided by
    Australian Institute of Marine Science
    Area covered
    Torres Strait, d325942a4e19e07693639815e37d25eb1de343a2
    Description

    17 to 141 individuals were collected from 8 populations of the fished holothurian species Holothuria scabra (Echinodermata: Holothuroidea), from north-east Australia, the Torres Strait, and the Solomon Islands and investigated by allozyme electrophoresis of 7 polymorphic loci.

    Two shallow populations of Holothuria scabra were sampled in the area of Hervey Bay (Urangan, Tin Can Bay) in south Queensland during June 1998. Individuals from a deeper population in Hervey Bay (18-20 m) were obtained during 3 trawl shots using commercial prawn-trawling equipment.

    One intertidal population was sampled ca. 800 km north Upstart Bay in 1998. Data from these samples were used in a previous study investigating the relationship between 2 colour morphs and the gene flow between deep and shallow populations. This population was re-sampled in May 2000 to investigate whether gene frequencies and the small size of individuals (as found in 1998) were stable over time.

    During August 1999, samples were obtained from 2 reefs in the Torres Strait at the northern end of the GBR (Warrior Reef, Dungeness Reef). Two locations in the Solomon Islands, Kohinggo Island (Solomon Island A) and Kolombangarra Island (Solomon Island B), were sampled in December 1999.

    Samples from intertidal populations were taken during low tides by walking on the mud flats. During these periods, holothurians in shallow tide pools, usually with at least a sparse seagrass cover, migrate to the surface of the sediment. Since large areas had to be covered to obtain sufficient individuals, no effort was made to obtain subsamples within each of the populations. The length of all individuals was recorded to the nearest centimetre. A subsample of the gut lining (cleaned from sediments) was snap frozen in liquid nitrogen for later analyses.

    Seven polymorphic enzyme loci were surveyed using allozyme electrophoresis: PGM, HK, GPI, MDH, PEP-1, PEP-2 and PEP-3. Full details of staining and electrophoresis methods are given in: Ballment E, Uthicke S, Peplow L, Benzie JAH (1997) Techniques for enzyme electrophoretic analysis of the holothurians Holothuria atra and Stichopus chloronotus (Holothuroidea: Aspidochirotida). Aust Inst Mar Sci (AIMS) Tech Rep Ser 27:1-47

    Basic analyses of genetic variability were carried out using programs in the BIOSYS-1. F-statistics, cluster analyses and tests of conformation to Hardy-Weinberg expectations were performed using the TFPGA package.

    The contribution of asexual reproduction to each population was calculated as described in detail in: Uthicke S, Benzie JAH, Ballment E (1998) Genetic structure of fissiparous populations of Holothuria (Halodeima) atra on the Great Barrier Reef. Mar Biol 132:141-151. Deviations from Hardy-Weinberg equilibrium for each locus at each reef were tested by an exact-test, using the conventional Monte Carlo method with the default settings in TFPGA.

    To test for evidence of isolation by distance, Mantel¿s tests were performed on transformed (log + 1) geographic distance (km) and Rogers' genetic distances. The significance of Mantel's normalised Z was tested by 10000 random permutations using NTSYS-PC software.

  19. T

    Australia - Gross Enrolment Ratio, Upper Secondary, Gender Parity Index

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 14, 2017
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    TRADING ECONOMICS (2017). Australia - Gross Enrolment Ratio, Upper Secondary, Gender Parity Index [Dataset]. https://tradingeconomics.com/australia/gross-enrolment-ratio-upper-secondary-gender-parity-index-gpi-wb-data.html
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 14, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Australia
    Description

    Gross enrolment ratio, upper secondary, gender parity index (GPI) in Australia was reported at 0.96476 GPI in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Gross enrolment ratio, upper secondary, gender parity index - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

  20. g

    ABS - Regional Population - Summary Statistics (SA2) 2017 | gimi9.com

    • gimi9.com
    Updated Mar 9, 2019
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    (2019). ABS - Regional Population - Summary Statistics (SA2) 2017 | gimi9.com [Dataset]. https://gimi9.com/dataset/au_au-govt-abs-abs-regional-population-summary-sa2-2017-sa2-2016/
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    Dataset updated
    Mar 9, 2019
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset presents the summary preliminary estimates of the resident population by age and sex as at 30 June 2017, this includes population by sex, median age by sex and percentage of the population within a certain age range. The data is aggregated to Statistical Areas Level 2 (SA2), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS). Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period. This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics. For more information please visit the Explanatory Notes. AURIN has spatially enabled the data. Regions which contain unpublished data have been left blank in the dataset. Where regions have zero population, the relating ratio and percentage columns have been left blank.

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TRADING ECONOMICS (2017). Australia Sex Ratio At Birth Male Births Per Female Births [Dataset]. https://tradingeconomics.com/australia/sex-ratio-at-birth-male-births-per-female-births-wb-data.html

Australia Sex Ratio At Birth Male Births Per Female Births

Explore at:
csv, xml, excel, jsonAvailable download formats
Dataset updated
Jun 8, 2017
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 1, 1976 - Dec 31, 2025
Area covered
Australia
Description

Actual value and historical data chart for Australia Sex Ratio At Birth Male Births Per Female Births

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