25 datasets found
  1. Australia Population: Resident: Estimated: Annual: South Australia: Greater...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Australia Population: Resident: Estimated: Annual: South Australia: Greater Adelaide [Dataset]. https://www.ceicdata.com/en/australia/estimated-resident-population/population-resident-estimated-annual-south-australia-greater-adelaide
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2006 - Jun 1, 2017
    Area covered
    Australia
    Variables measured
    Population
    Description

    Population: Resident: Estimated: Annual: South Australia: Greater Adelaide data was reported at 1,334,167.000 Person in 2017. This records an increase from the previous number of 1,324,057.000 Person for 2016. Population: Resident: Estimated: Annual: South Australia: Greater Adelaide data is updated yearly, averaging 1,270,970.500 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 1,334,167.000 Person in 2017 and a record low of 1,189,243.000 Person in 2006. Population: Resident: Estimated: Annual: South Australia: Greater Adelaide 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.G002: Estimated Resident Population.

  2. Australia Population: Resident: Estimated: Annual: South Australia: Rest of...

    • ceicdata.com
    Updated Feb 2, 2021
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    CEICdata.com (2021). Australia Population: Resident: Estimated: Annual: South Australia: Rest of South Australia [Dataset]. https://www.ceicdata.com/en/australia/estimated-resident-population/population-resident-estimated-annual-south-australia-rest-of-south-australia
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    Dataset updated
    Feb 2, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2006 - Jun 1, 2017
    Area covered
    Australia
    Variables measured
    Population
    Description

    Population: Resident: Estimated: Annual: South Australia: Rest of South Australia data was reported at 389,504.000 Person in 2017. This records an increase from the previous number of 388,786.000 Person for 2016. Population: Resident: Estimated: Annual: South Australia: Rest of South Australia data is updated yearly, averaging 377,199.000 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 389,504.000 Person in 2017 and a record low of 363,286.000 Person in 2006. Population: Resident: Estimated: Annual: South Australia: Rest of South Australia 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.G002: Estimated Resident Population.

  3. Fertility rate in South Australia 2009-2018

    • statista.com
    Updated Apr 3, 2024
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    Statista (2024). Fertility rate in South Australia 2009-2018 [Dataset]. https://www.statista.com/statistics/612599/australia-south-australia-fertility-rate/
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    This statistic displays the total fertility rate in South Australia from 2009-2010 to 2017-2018. According to the source, on average about 1.67 children were born per woman in South Australia in 2017-2018.

  4. South Australian Government School Enrolments by Site and Age Grouping Term...

    • researchdata.edu.au
    Updated Aug 27, 2018
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    Department for Education (2018). South Australian Government School Enrolments by Site and Age Grouping Term 3 2017 [Dataset]. https://researchdata.edu.au/south-australian-government-3-2017/2210436
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    Dataset updated
    Aug 27, 2018
    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    Authors
    Department for Education
    License

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

    Area covered
    South Australia, Australia
    Description

    List of South Australian Government Schools with the number of students (Persons and FTE) enrolled at the most recent census collection (Term 3 2017), by site and age grouping.

  5. 澳大利亚 Population: Resident: Estimated: Annual: South Australia: Greater...

    • ceicdata.com
    Updated Feb 16, 2020
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    CEICdata.com (2020). 澳大利亚 Population: Resident: Estimated: Annual: South Australia: Greater Adelaide [Dataset]. https://www.ceicdata.com/zh-hans/australia/estimated-resident-population/population-resident-estimated-annual-south-australia-greater-adelaide
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    Dataset updated
    Feb 16, 2020
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2006 - Jun 1, 2017
    Area covered
    南澳大利亚州, 阿德莱德, 澳大利亚, 澳大利亚
    Variables measured
    Population
    Description

    澳大利亚 Population: Resident: Estimated: Annual: South Australia: Greater Adelaide在2017达1,334,167.000 人口,相较于2016的1,324,057.000 人口有所增长。澳大利亚 Population: Resident: Estimated: Annual: South Australia: Greater Adelaide数据按每年更新,2006至2017期间平均值为1,270,970.500 人口,共12份观测结果。该数据的历史最高值出现于2017,达1,334,167.000 人口,而历史最低值则出现于2006,为1,189,243.000 人口。CEIC提供的澳大利亚 Population: Resident: Estimated: Annual: South Australia: Greater Adelaide数据处于定期更新的状态,数据来源于Australian Bureau of Statistics,数据归类于Global Database的澳大利亚 – Table AU.G002: Estimated Resident Population。

  6. Australia Population: Resident: Estimated: Annual: New South Wales: Greater...

    • ceicdata.com
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    CEICdata.com, Australia Population: Resident: Estimated: Annual: New South Wales: Greater Sydney [Dataset]. https://www.ceicdata.com/en/australia/estimated-resident-population/population-resident-estimated-annual-new-south-wales-greater-sydney
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2006 - Jun 1, 2017
    Area covered
    Australia
    Variables measured
    Population
    Description

    Australia Population: Resident: Estimated: Annual: New South Wales: Greater Sydney data was reported at 5,132,355.000 Person in 2017. This records an increase from the previous number of 5,024,923.000 Person for 2016. Australia Population: Resident: Estimated: Annual: New South Wales: Greater Sydney data is updated yearly, averaging 4,643,072.500 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 5,132,355.000 Person in 2017 and a record low of 4,256,161.000 Person in 2006. Australia Population: Resident: Estimated: Annual: New South Wales: Greater Sydney 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.G002: Estimated Resident Population.

  7. South Australian Government Preschool Enrolments in their Eligible Year...

    • researchdata.edu.au
    • data.wu.ac.at
    Updated Aug 27, 2018
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    Department for Education (2018). South Australian Government Preschool Enrolments in their Eligible Year (Term 2, 2017 and 2018) [Dataset]. https://researchdata.edu.au/south-australian-government-2017-2018/2210427
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    Dataset updated
    Aug 27, 2018
    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    Authors
    Department for Education
    License

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

    Area covered
    South Australia, Australia
    Description

    List of South Australian Government Preschools with the number of children enrolled in their eligible year, as at the most recent data collection (Term 2 2017 and 2018).

  8. n

    2017 Aerial survey data of southern right whales (Eubalaena australis) off...

    • cmr.earthdata.nasa.gov
    • data.aad.gov.au
    • +2more
    Updated Mar 9, 2021
    + more versions
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    (2021). 2017 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia [Dataset]. http://doi.org/10.4225/15/5ab1d067a991b
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    Dataset updated
    Mar 9, 2021
    Time period covered
    Aug 23, 2017 - Aug 27, 2017
    Area covered
    Description

    These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2017. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 25-year period 1993-2017. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future

  9. d

    2017 Aerial survey data of southern right whales (Eubalaena australis) off...

    • data.gov.au
    http
    Updated Sep 29, 2016
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    AU/AADC > Australian Antarctic Data Centre, Australia (2016). 2017 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia [Dataset]. https://data.gov.au/dataset/ds-aodn-C1968847804-AU_AADC
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    httpAvailable download formats
    Dataset updated
    Sep 29, 2016
    Dataset provided by
    Australian Antarctic Data Centre
    Area covered
    Australia
    Description

    These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2017. Such annual flights in winter/spring between Cape Leeuwin (Western …Show full descriptionThese aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2017. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 25-year period 1993-2017. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future Version Description:

  10. r

    Data from: Australian coastal migratory shorebirds species data for...

    • researchdata.edu.au
    Updated May 22, 2023
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    Professor Richard Fuller; Professor Richard Fuller; Fuller, Richard; Fuller, Richard; Dr Tatsuya Amano; Dr Tatsuya Amano; Dr Andrew Rogers; Dr Andrew Rogers (2023). Australian coastal migratory shorebirds species data for population trend assessment (including R code) [Dataset]. http://doi.org/10.48610/522404F
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    Dataset updated
    May 22, 2023
    Dataset provided by
    The University of Queensland
    Authors
    Professor Richard Fuller; Professor Richard Fuller; Fuller, Richard; Fuller, Richard; Dr Tatsuya Amano; Dr Tatsuya Amano; Dr Andrew Rogers; Dr Andrew Rogers
    License

    https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreementhttps://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement

    Area covered
    Description

    Database uses data on shorebird counts from around Australia. The majority of the records are from Birdlife’s Birdata database. We supplemented this data with bird surveys within the Coorong, from David Paton, from data available from the South Australian Government (Paton, Paton, and Bailey 2016). Data for some shorebird areas, namely eighty mile beach, Roebuck Bay, Werribee/Avalon, did not have count area level data for a number of recent years (2019-2022), but had aggregated summary data available. Within the database, observations of the number of individuals per species are organized in “count areas”, which are generally one high tide roost, or segments of beach. Count areas are situated within “Shorebird areas”, which are the maximum areas in which individual birds are likely to move during the non-breeding season (Clemens, Herrod, and Weston 2014). The database contains >380,000 records from 448 shorebird areas around the country. Data on individual species generation times was sourced from Birdlife’s Data Zone (‘BirdLife Data Zone’ 2022). For our analysis, we aggregated the data into independent count occasions for each shorebird area within each Australian summer, here termed “season”. To achieve this, we summarized the total number of each species observed at a shorebird area for each month during the summer months (October, November, December, January, and February). First, the database was subset to records that had complete fields for “shorebird area”, “point count ID”, “count”, and “date”. Data were then aggregated to find the max observations per species per count area per month. The max observations per count area per month were then summed per shorebird area. For shorebird areas with counts across multiple months, we used the top two counts per season as input for our data analysis. Finally, we only included shorebird areas that had at least 500 birds observed over the entire time series and had at least one count for at least half of the years in the entire time series (14 years of the 29 years in the time series). Structured, regular monitoring began in 1993, so we used data from 1993-2022. Modelling abundance and population trends - The objective was to estimate abundance and population trends of the targeted species at the national level, using the time-series data described above. Following the successful example of modelling population trends of shorebirds in Australia by Studds et al (2017), we also used N-mixture models, which estimate the abundance of each species at each shorebird area each year, while accounting for imperfect detection of individuals as well as among-area difference, temporal trends, and over-dispersion in abundance. The model allowed us to estimate: (i) the abundance of each species at each shorebird area each year, (ii) the total abundance of each species across all areas each year, and (iii) the nationwide population index of each species, which shows “average” changes in the species abundance across all shorebird areas. As N-mixture models tend to be highly complex with many parameters and thus require much information (i.e., data) for those parameters to be successfully estimated, we developed two types of N-mixture models with varying levels of complexity/assumption: (i) the model assuming that detection probabilities at a given area vary among months within each year, and (ii) the model assuming that detection probabilities at a given area are constant across months within each year. We first fitted model (i) above to all targeted species using the program JAGS (Hornik et al. 2003) through the R2jags package (Su, Yajima, and Edu 2022) in R version 4.2.1 (R Core Team 2015). Model convergence was checked with R-hat values and trace plots. If the model still did not converge, we next fitted model (ii) above and increased the number of iterations until the model converged. If both models did not converge, we fitted a simpler model, which had the same structure but without accounting for the imperfect detection of individuals (i.e., assuming that all individuals are detectable). Using model outputs, we then estimated the rate of change in abundance. For a given time frame (29 years, three generations, 1993-2013, 2013-2022) we calculated growth rates using generalized least squares regression to account for temporal autocorrelation. We then sampled 1000 growth rates from each regression result and calculated the mean and standard deviation based on these samples. We then took the difference in the samples and calculated the probability of the difference being larger than zero using the code: 100*length(difference_in_samples[difference_in_samples <0])/length(difference_in_samples) We used IUCN criteria A2, to assess how the species should be listed based on the estimated declines from our analysis. These thresholds are: 80% - critically endangered 50% - endangered, and 30% - vunerable From the IUCN IUCN Red List of Threatened Species “

  11. 澳大利亚 Population: Resident: Estimated: Annual: South Australia: Rest of South...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). 澳大利亚 Population: Resident: Estimated: Annual: South Australia: Rest of South Australia [Dataset]. https://www.ceicdata.com/zh-hans/australia/estimated-resident-population/population-resident-estimated-annual-south-australia-rest-of-south-australia
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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
    Jun 1, 2006 - Jun 1, 2017
    Area covered
    澳大利亚, 南澳大利亚州, 澳大利亚
    Variables measured
    Population
    Description

    澳大利亚 Population: Resident: Estimated: Annual: South Australia: Rest of South Australia在2017达389,504.000 人口,相较于2016的388,786.000 人口有所增长。澳大利亚 Population: Resident: Estimated: Annual: South Australia: Rest of South Australia数据按每年更新,2006至2017期间平均值为377,199.000 人口,共12份观测结果。该数据的历史最高值出现于2017,达389,504.000 人口,而历史最低值则出现于2006,为363,286.000 人口。CEIC提供的澳大利亚 Population: Resident: Estimated: Annual: South Australia: Rest of South Australia数据处于定期更新的状态,数据来源于Australian Bureau of Statistics,数据归类于Global Database的澳大利亚 – Table AU.G002: Estimated Resident Population。

  12. r

    PHIDU - Birthplace - Non-English Speaking Residents (PHA) 2016

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
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    Torrens University Australia - Public Health Information Development Unit (2023). PHIDU - Birthplace - Non-English Speaking Residents (PHA) 2016 [Dataset]. https://researchdata.edu.au/phidu-birthplace-non-pha-2016/2743728
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    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Torrens University Australia - Public Health Information Development Unit
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Area covered
    Description

    This dataset, released in August 2017, contains the Australian residents population by their birthplace divided into English speaking (ES) and non-English speaking (NES) countries, 2016. The following countries are designated as ES: Canada, Ireland, New Zealand, South Africa, United Kingdom and the United States of America; the remaining countries are designated as NES. The dataset also includes the population of people born overseas and report poor proficiency in English. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).

    Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.

    For more information please see the data source notes on the data.

    Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016.

    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.

  13. Australia Population: Resident: Estimated: Annual: New South Wales: Rest of...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Australia Population: Resident: Estimated: Annual: New South Wales: Rest of New South Wales [Dataset]. https://www.ceicdata.com/en/australia/estimated-resident-population/population-resident-estimated-annual-new-south-wales-rest-of-new-south-wales
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2006 - Jun 1, 2017
    Area covered
    Australia
    Variables measured
    Population
    Description

    Australia Population: Resident: Estimated: Annual: New South Wales: Rest of New South Wales data was reported at 2,729,319.000 Person in 2017. This records an increase from the previous number of 2,707,935.000 Person for 2016. Australia Population: Resident: Estimated: Annual: New South Wales: Rest of New South Wales data is updated yearly, averaging 2,618,314.000 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 2,729,319.000 Person in 2017 and a record low of 2,486,529.000 Person in 2006. Australia Population: Resident: Estimated: Annual: New South Wales: Rest of New South Wales 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.G002: Estimated Resident Population.

  14. Fertility rate in New South Wales Australia 2009-2018

    • statista.com
    Updated Apr 3, 2024
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    Statista (2024). Fertility rate in New South Wales Australia 2009-2018 [Dataset]. https://www.statista.com/statistics/612573/australia-new-south-wales-fertility-rate/
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    This statistic displays the total fertility rate in New South Wales in Australia from 2009-2010 to 2017-2018. According to the source, on average about 1.86 children were born per woman in New South Wales in 2017-2018.

  15. SP 018 Discovering Historic Kapunda. Includes Heritage Trail and Walk...

    • pid.sarig.sa.gov.au
    Updated Nov 15, 2024
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    pid.sarig.sa.gov.au (2024). SP 018 Discovering Historic Kapunda. Includes Heritage Trail and Walk (revised 2017 edition) - Document - SARIG catalogue [Dataset]. https://pid.sarig.sa.gov.au/dataset/2018d039306
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    Dataset updated
    Nov 15, 2024
    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    Area covered
    Kapunda
    Description

    History of the town and mine, and main points of interest along the Kapunda heritage and walking trails. Includes numerous current and historic photographs and a detailed Heritage Trail map. The name Kapunda is after the Aboriginal term 'cappie... History of the town and mine, and main points of interest along the Kapunda heritage and walking trails. Includes numerous current and historic photographs and a detailed Heritage Trail map. The name Kapunda is after the Aboriginal term 'cappie oonda', which refers to a spring. The Kapunda Mine was the first successful metal mine in Australia and, together with Burra, saved the infant colony of South Australia from economic crisis in the 1840s. It led to the establishment of one of the first mining towns in Australia. During the nineteenth century, Kapunda was one of the major towns of South Australia. In 1871, with a population of 2273, the town was more populous than Gawler and Glenelg, and had only about 200 fewer residents than Port Adelaide. At that time, Kapunda was the centre of a prosperous agricultural region; it was the location of several engineering and implement-making firms, and above all, it was a thriving mining town.

  16. d

    LGA15 Self Assessed Health - 2014-2015

    • data.gov.au
    ogc:wfs, wms
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    LGA15 Self Assessed Health - 2014-2015 [Dataset]. https://data.gov.au/dataset/ds-aurin-aurin%3Adatasource-TUA_PHIDU-UoM_AURIN_tua_phidu_2015_lga_aust_self_assessed_health_2014_15
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    wms, ogc:wfsAvailable download formats
    Description

    The estimated number of people that had ‘poor' or ‘fair' health and those people as a rate of the total population. The data on which the estimates are based are self-reported responses, reported to …Show full descriptionThe estimated number of people that had ‘poor' or ‘fair' health and those people as a rate of the total population. The data on which the estimates are based are self-reported responses, reported to interviewers in the 2014–15 National Health Survey. Respondents aged 15 years and over were asked to assess their health on a scale from ‘poor' to ‘excellent' (the scale was ‘poor', ‘fair', ‘good', ‘very good', or ‘excellent'). The data reported are the sum of responses categorised as ‘poor' or ‘fair' (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/. Source: Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS; estimates at the LGA and PHN level were derived from the PHA estimates. Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

  17. f

    Song variation of the South Eastern Indian Ocean pygmy blue whale population...

    • plos.figshare.com
    docx
    Updated Jun 1, 2023
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    Capri D. Jolliffe; Robert D. McCauley; Alexander N. Gavrilov; K. Curt S. Jenner; Micheline-Nicole M. Jenner; Alec J. Duncan (2023). Song variation of the South Eastern Indian Ocean pygmy blue whale population in the Perth Canyon, Western Australia [Dataset]. http://doi.org/10.1371/journal.pone.0208619
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Capri D. Jolliffe; Robert D. McCauley; Alexander N. Gavrilov; K. Curt S. Jenner; Micheline-Nicole M. Jenner; Alec J. Duncan
    License

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

    Area covered
    Indian Ocean, Western Australia, Perth Canyon, Australia
    Description

    Sea noise collected over 2003 to 2017 from the Perth Canyon, Western Australia was analysed for variation in the South Eastern Indian Ocean pygmy blue whale song structure. The primary song-types were: P3, a three unit phrase (I, II and III) repeated with an inter-song interval (ISI) of 170–194 s; P2, a phrase consisting of only units II & III repeated every 84–96 s; and P1 with a phrase consisting of only unit II repeated every 45–49 s. The different ISI values were approximate multiples of each other within a season. When comparing data from each season, across seasons, the ISI value for each song increased significantly through time (all fits had p < 0.001), at 0.30 s/Year (95%CI 0.217–0.383), 0.8 s/Year (95%CI 0.655–1.025) and 1.73 s/Year (95%CI 1.264–2.196) for the

  18. Number of operating cafés and restaurants Australia FY 2017-2024

    • statista.com
    Updated Mar 18, 2025
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    Statista (2025). Number of operating cafés and restaurants Australia FY 2017-2024 [Dataset]. https://www.statista.com/statistics/1244323/australia-number-cafes-and-restaurants-in-operation/
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    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    Australia's café and restaurant landscape has shown consistent growth in recent years. Over 55,700 cafés and restaurants were in operation across the country at the end of the 2024 financial year, up from approximately 41,570 in 2017. Australia's coffee shop network Not only has the number of cafés and restaurants trended upwards nationwide in recent years, the annual revenue of these venues reached a new peak in 2024. The states of New South Wales and Victoria are home to the majority of Australia's food service establishments, owing to their higher population densities. International café chains such as McCafé and Jack's Café, alongside domestic coffee franchise The Coffee Club, boast the highest number of locations across popular coffee shops in Australia. Still, they rank below cafés like Donut King, Zarraffa's, and Gloria Jean's in terms of overall customer satisfaction. Australia's most beloved beverage Coffee is deeply rooted in the everyday lives of Australians, with the hot beverage coming in as the country's most regularly consumed beverage in a 2024 survey. Several Australians consume the beverage every day or, in some cases, multiple times a day, and the annual domestic consumption of coffee has remained above two million sixty-kilogram bags for the past four years. In particular, cappuccinos and lattes enjoy a high popularity among Australians. Nonetheless, although the country observes high coffee consumption levels, cost-of-living pressures have led to a desire to reduce spending on takeout coffee and the rising intention to consume coffee at home instead of in cafés.

  19. a

    PHIDU - Education (PHN) 2016-2019 - Dataset - AURIN

    • data.aurin.org.au
    Updated Mar 6, 2025
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    (2025). PHIDU - Education (PHN) 2016-2019 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/tua-phidu-phidu-education-phn-2016-19-phn2017
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    Dataset updated
    Mar 6, 2025
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    This dataset, released February 2021, contains education information relating to Preschool participation, 2018; People who left school at Year 10 or below, or did not go to school, 2016; Full-time participation in secondary school education at age 16, 2016; Participation in vocational education and training, 2019; Load Pass Rates of vocational education and training subjects, 2019; Government-funded vocational education and training subjects, 2019; School leavers enrolled in higher education, 2019. 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: Compiled by PHIDU based on data from the ABS Census of Population and Housing, August 2016; the National Centre for Vocational Education Research Ltd., 2019; the ABS Estimated Resident Population, 30 June 2019; the Universities Admissions Centre (NSW & ACT), Victorian Tertiary Admissions Centre, South Australian Tertiary Admission Centre (SA & NT), Tertiary Institutions Service Centre (WA), The University of Notre Dame Australia (WA & NSW), the University of Tasmania. 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.

  20. r

    Connell Rainforest Plot Network: Tropical Rainforest Tree Demographic Data,...

    • researchdata.edu.au
    Updated Jan 8, 2019
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    The Australian National University (2019). Connell Rainforest Plot Network: Tropical Rainforest Tree Demographic Data, Davies Creek Plot, Dinden National Park, Queensland, Australia, 2017 [Dataset]. http://doi.org/10.25911/5c342bbe05954
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    Dataset updated
    Jan 8, 2019
    Dataset provided by
    The Australian National University
    License

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

    Time period covered
    2017 - Present
    Area covered
    Description

    Abstract: This rainforest tree demographic data package comprises recruitment and mortality census data for rainforest trees Davies Creek Plot in Dinden National Park (25 km south west of Cairns), Queensland for 2017. This plot consists of one 1.7 hectare plot in tropical rainforest, established in 1963. Rainforest tree attributes recorded comprise the size (height or girth) of tagged and mapped, free-standing stems of shrub and tree species. Sampling has been undertaken at intervals of 1-6 years. The Davies Creek Plot was incorporated over an existing 0.4 ha plot established by the Queensland Department of Forestry in 1951 (Nicholson et al. 1988), so the central part of the Davies Creek Plot has records extending back more than a decade prior to 1963. This data package forms part of the collection of vegetation data undertaken at plots situated in both Lamington National Park and Davies Creek initiated by Professor Joseph H. Connell (University of California, Santa Barbara) in 1963.

    A synopsis of related data packages which have been collected as part of the Connell Rainforest Plot Network’s full program is provided at https://doi.org/10.25911/5c13444388e1b.

    Sampling method: The Dinden National Park Plot is a 1.7 hectare plot. The plot was selected by Prof. Joseph H. Connell in 1963 on the advice of his CSIRO collaborators Dr Len Webb and Mr Geoff Tracey, and was chosen for three reasons; it was accessible, it was unlogged, and a smaller 0.4 ha plot belonging to the Queensland Department of Forestry had already been established there in 1951. This plot is one of two plots established by Connell in 1963 – the other is in subtropical rainforest near O’Reilly’s Guesthouse in Lamington National Park, 65 km south of Brisbane. The same sampling methods are employed at both plots, at intervals of 1-6 years.

    Project abstract: This group conducts research in the rainforest investigating tree demographics.

    Project funding: The National Science Foundation was the sole funder of this research between 1963 and 2003.

    Between 2012 and 2018 this project was soley funded through the Long Term Ecological Research Network (LTERN) a facility within the Terrestrial Ecosystem Research Network (TERN) and supported by the Australian Government through the National Collaborative Research Infrastructure Strategy.

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CEICdata.com (2025). Australia Population: Resident: Estimated: Annual: South Australia: Greater Adelaide [Dataset]. https://www.ceicdata.com/en/australia/estimated-resident-population/population-resident-estimated-annual-south-australia-greater-adelaide
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Australia Population: Resident: Estimated: Annual: South Australia: Greater Adelaide

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Dataset updated
Jan 15, 2025
Dataset provided by
CEIC Data
License

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

Time period covered
Jun 1, 2006 - Jun 1, 2017
Area covered
Australia
Variables measured
Population
Description

Population: Resident: Estimated: Annual: South Australia: Greater Adelaide data was reported at 1,334,167.000 Person in 2017. This records an increase from the previous number of 1,324,057.000 Person for 2016. Population: Resident: Estimated: Annual: South Australia: Greater Adelaide data is updated yearly, averaging 1,270,970.500 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 1,334,167.000 Person in 2017 and a record low of 1,189,243.000 Person in 2006. Population: Resident: Estimated: Annual: South Australia: Greater Adelaide 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.G002: Estimated Resident Population.

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