26 datasets found
  1. N

    Median Household Income Variation by Family Size in Darwin, MN: Comparative...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income Variation by Family Size in Darwin, MN: Comparative analysis across 7 household sizes [Dataset]. https://www.neilsberg.com/research/datasets/1ad43295-73fd-11ee-949f-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Minnesota, Darwin
    Variables measured
    Household size, Median Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across 7 household sizes (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out how household income varies with the size of the family unit. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median household incomes for various household sizes in Darwin, MN, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

    Key observations

    • Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Darwin did not include 3, 5, or 7-person households. Across the different household sizes in Darwin the mean income is $95,480, and the standard deviation is $45,159. The coefficient of variation (CV) is 47.30%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
    • In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $32,427. It then further increased to $135,790 for 6-person households, the largest household size for which the bureau reported a median household income.

    https://i.neilsberg.com/ch/darwin-mn-median-household-income-by-household-size.jpeg" alt="Darwin, MN median household income, by household size (in 2022 inflation-adjusted dollars)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Household Sizes:

    • 1-person households
    • 2-person households
    • 3-person households
    • 4-person households
    • 5-person households
    • 6-person households
    • 7-or-more-person households

    Variables / Data Columns

    • Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Darwin median household income. You can refer the same here

  2. A

    Australia Population: Resident: Estimated: Annual: Northern Territory:...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Australia Population: Resident: Estimated: Annual: Northern Territory: Greater Darwin [Dataset]. https://www.ceicdata.com/en/australia/estimated-resident-population/population-resident-estimated-annual-northern-territory-greater-darwin
    Explore at:
    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
    Australia
    Variables measured
    Population
    Description

    Australia Population: Resident: Estimated: Annual: Northern Territory: Greater Darwin data was reported at 148,884.000 Person in 2017. This records an increase from the previous number of 147,102.000 Person for 2016. Australia Population: Resident: Estimated: Annual: Northern Territory: Greater Darwin data is updated yearly, averaging 131,105.500 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 148,884.000 Person in 2017 and a record low of 113,461.000 Person in 2006. Australia Population: Resident: Estimated: Annual: Northern Territory: Greater Darwin 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. N

    Darwin, MN Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Darwin, MN Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/5246d651-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Minnesota, Darwin
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the data for the Darwin, MN population pyramid, which represents the Darwin population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Darwin, MN, is 34.3.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Darwin, MN, is 24.8.
    • Total dependency ratio for Darwin, MN is 59.1.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Darwin, MN is 4.0.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group for the Darwin population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Darwin for the selected age group is shown in the following column.
    • Population (Female): The female population in the Darwin for the selected age group is shown in the following column.
    • Total Population: The total population of the Darwin for the selected age group is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Darwin Population by Age. You can refer the same here

  4. s

    Country distribution of Darwin surname

    • surnam.es
    Updated Jul 3, 2025
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    Apellidos del Mundo (2025). Country distribution of Darwin surname [Dataset]. https://surnam.es/darwin-surname
    Explore at:
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Apellidos del Mundo
    Area covered
    Ecuador, Botswana, Iraq, Russia, Malawi, France, Saint Lucia, Angola, Maldives, Venezuela
    Variables measured
    Surname frequency
    Description

    Discover the worldwide distribution of the Darwin surname. Present in 85 countries with 10,542 registered people.

  5. n

    Liveability People Counting - Smart Poles API

    • smart.darwin.nt.gov.au
    csv, excel, json
    Updated Jun 23, 2025
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    (2025). Liveability People Counting - Smart Poles API [Dataset]. https://smart.darwin.nt.gov.au/explore/dataset/liveability-people-counting-smart-poles-api/
    Explore at:
    excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 23, 2025
    Description

    Realtime People Counting data from Smart Poles API for Liveability Dashboard

  6. r

    Shewring Collection (Photographs depicting Aboriginal people in the Northern...

    • researchdata.edu.au
    Updated Oct 1, 2013
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    Robert Shewring (2013). Shewring Collection (Photographs depicting Aboriginal people in the Northern Territory and life in army barracks around time of World War 2) [Dataset]. https://researchdata.edu.au/shewring-collection-photographs-war-2/1955384
    Explore at:
    Dataset updated
    Oct 1, 2013
    Dataset provided by
    Charles Darwin University
    Authors
    Robert Shewring
    Time period covered
    Jan 1, 1934 - Jan 1, 1946
    Area covered
    Description

    A photographic collection donated by Robert Vivian Shewring who came to Darwin in 1934 with the First Contingent of the Australian Permanent Army to be stationed in Darwin. The men were billeted in Vestey's old meatworks, at Bullocky Point, while they built the first buildings at Larrakeah Barracks, and erected the big guns at East Point. Mr Shewring, then Gunner Shewring, Artillary Regiment, was a carpenter and the photographs depict life in the barracks, Darwin, the Northern Territory and local Aboriginal people. Snapshot of pre-war and World War II life in the Northern Territory, with several photos of Aboriginal people and their lifestyle. 136 photos of the Northern Territory and 1 photo of South Australia (Coward Springs). WARNING: Aboriginal and Torres Strait Islander viewers are warned that the following photographs may contain images of deceased persons.

  7. m

    Memory of a Nation dataset

    • demo.dev.magda.io
    • data.wu.ac.at
    csv
    Updated Nov 8, 2023
    + more versions
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    National Archives of Australia (2023). Memory of a Nation dataset [Dataset]. https://demo.dev.magda.io/dataset/ds-dga-423d5a71-e957-4f18-b648-bf8680f2d780
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    National Archives of Australia
    License

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

    Description

    This dataset tells fascinating stories drawn from treasures of the National Archives collection - http://naa.gov.au/visit-us/exhibitions/memory-of-a-nation/interactive.aspx The dataset includes a …Show full descriptionThis dataset tells fascinating stories drawn from treasures of the National Archives collection - http://naa.gov.au/visit-us/exhibitions/memory-of-a-nation/interactive.aspx The dataset includes a digitised version of every original item that has been put on display in the Archives’ permanent exhibition Memory of a Nation, from its launch in 2007 through to the present day. This includes an original musical score of Waltzing Matilda, a petition for Aboriginal land rights from the Larrakia people of Darwin, and Charles Kingsford Smith’s 1921 application for a pilot’s licence. The dataset covers around 500 record items (eg. a file, object or photograph in the NAA collection). Examples of content - http://naa.gov.au/visit-us/exhibitions/memory-of-a-nation/index.aspx Record Item data fields include • Theme • Subtheme • Title • Keyword tags (names, places, government activities), • Short description • Long description • More info • Year (of record) • Series number (note: a series is a group of records that has resulted from the same filing process), • Control symbol and barcode (record item reference numbers) • Collection (i.e. the government agency or person that created the series) • Format (for example, photograph, letter, bound volume, plan, film, etc.) • File name for scanned images • Number of images • Notes • Digitised and Folio / page number

  8. f

    Data from: Human activity can influence the gut microbiota of Darwin’s...

    • figshare.com
    txt
    Updated Mar 21, 2019
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    Sarah Knutie; Jaime Chaves; Kiyoko Gotanda (2019). Human activity can influence the gut microbiota of Darwin’s finches in the Galapagos Islands [Dataset]. http://doi.org/10.6084/m9.figshare.7872035.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Mar 21, 2019
    Dataset provided by
    figshare
    Authors
    Sarah Knutie; Jaime Chaves; Kiyoko Gotanda
    License

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

    Area covered
    Galápagos Islands
    Description

    The gut microbiota in animal hosts is influenced by environmental factors, including those that affect food resource availability. For example, humans can alter dietary resources by introducing novel food items. Over the past 30 years, human presence has grown exponentially in the Galapagos Islands, which are home to endemic Darwin’s finches. Consequently, humans have changed the environment and diet of Darwin’s finches, which in turn, could affect their gut microbiota. In this study, we compared the gut microbiota of two species of Darwin’s finches, small ground finches (Geospiza fuliginosa) and medium ground finches (Geospiza fortis), across sites with and without human presence, where finches prefer human-processed and natural food, respectively. We predicted that: 1) finch microbiota would differ between sites with and without humans due to differences in diet, and 2) gut microbiota of each finch species would be most similar where finches have the highest niche overlap (areas with humans) compared to the lowest niche overlap (areas without humans).We found that gut bacterial community structure differed across sites and host species. Gut bacterial diversity was most distinct between the two species at the site with human presence compared to the site without human presence, which contradicted our predictions. Within host species, medium ground finches had lower bacterial diversity at the site with human presence compared to the site without human presence and bacterial diversity of small ground finches did not differ between sites. Our results show that the gut microbiota of Darwin’s finches is affected differently across sites with varying human presence.

  9. p

    ABS - Census of Population and Housing - Selected Person Characteristics By...

    • data.peclet.com.au
    • data.cumberland.nsw.gov.au
    • +1more
    csv, excel, json
    Updated Jan 1, 2024
    + more versions
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    (2024). ABS - Census of Population and Housing - Selected Person Characteristics By Sex - LGA Level - G01 [Dataset]. https://data.peclet.com.au/explore/dataset/abs-g01-selected-person-characteristics-by-sex/
    Explore at:
    json, excel, csvAvailable download formats
    Dataset updated
    Jan 1, 2024
    Description

    ABS Census data extract - G01 SELECTED PERSON CHARACTERISTICS BY SEX providing a breakdown of population at LGA level and by:age groupsaboriginal and/or Torres Strait Islander persons (a)birthplace (b) and (c)language used at home (d)age of persons attending an education institution (e)highest year of school completed (f)count of persons in occupied private dwellings (g)Count of persons in other dwellings (g) (h)This data is based on place of usual residence unless otherwise stated.(a) Applicable to persons who are of both Aboriginal and Torres Strait Islander origin.(b) Includes 'Australia', 'Australia (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec'.(c) Includes 'Inadequately described', and 'At sea'. Excludes not stated.(d) Includes 'Inadequately described' and 'Non-verbal, so described'. Excludes not stated.(e) Comprises 'Preschool', 'Primary' (including Government, Catholic, Other non-Government, Primary not further defined), 'Secondary' (including Government, Catholic, Other non-Government, Secondary not further defined) and 'Tertiary' (including vocational education (including TAFE and private training providers), university or other higher education, Tertiary not further defined). Excludes persons who did not state which type of education institution they were attending.(f) Applicable to persons aged 15 years and over.(g) Data is based on place of enumeration. Excludes overseas visitors.(h) Includes 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

  10. N

    Median Household Income Variation by Family Size in Darwin Township,...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income Variation by Family Size in Darwin Township, Minnesota: Comparative analysis across 7 household sizes [Dataset]. https://www.neilsberg.com/research/datasets/1ad43483-73fd-11ee-949f-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Minnesota, Darwin Township
    Variables measured
    Household size, Median Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across 7 household sizes (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out how household income varies with the size of the family unit. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median household incomes for various household sizes in Darwin Township, Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

    Key observations

    • Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Darwin township did not include 6, or 7-person households. Across the different household sizes in Darwin township the mean income is $96,854, and the standard deviation is $42,820. The coefficient of variation (CV) is 44.21%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
    • In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $27,698. It then further increased to $131,061 for 5-person households, the largest household size for which the bureau reported a median household income.

    https://i.neilsberg.com/ch/darwin-township-mn-median-household-income-by-household-size.jpeg" alt="Darwin Township, Minnesota median household income, by household size (in 2022 inflation-adjusted dollars)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Household Sizes:

    • 1-person households
    • 2-person households
    • 3-person households
    • 4-person households
    • 5-person households
    • 6-person households
    • 7-or-more-person households

    Variables / Data Columns

    • Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Darwin township median household income. You can refer the same here

  11. George Brown Darwin Botanic Gardens Seed Bank

    • gbif.org
    Updated Jul 4, 2025
    + more versions
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    GBIF (2025). George Brown Darwin Botanic Gardens Seed Bank [Dataset]. http://doi.org/10.15468/jnrgp5
    Explore at:
    Dataset updated
    Jul 4, 2025
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Parks and Wildlife Commission of the Northern Territoryhttps://depws.nt.gov.au/parks-and-wildlife-commission
    License

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

    Description

    The George Brown Darwin Botanic Gardens is located 2km from the Darwin CBD. The gardens contain vibrant displays of native plants from northern Australia as well as other exotic tropical plants from around the world. The various plantings throughout the gardens present a rich tapestry of tropical orchids, heliconias, bromeliads and gingers. With the recent addition of a new Visitor and Event Centre, visitors have the opportunity to learn about the Gardens natural and cultural history as well as the diverse plant collections and the many uses Aboriginal people have for Australia?s native tropical plants.

  12. r

    Alice Springs to Darwin railway impact study

    • researchdata.edu.au
    Updated Jun 21, 2013
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    Macquarie University (2013). Alice Springs to Darwin railway impact study [Dataset]. https://researchdata.edu.au/alice-springs-darwin-impact-study/124983
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    Dataset updated
    Jun 21, 2013
    Dataset provided by
    Macquarie University
    Time period covered
    1997 - 1998
    Area covered
    Alice Springs
    Description

    Comissioned study to identify the impacts of construction of the Alice Springs to Darwin railway on Aboriginal people and make recommendations for avoidance or mitigation. The study was comissioned by the Northern and Central Land Councils with funding from the Northern Territory Government.

    The research was undertaken by Richie Howitt, Sue Jackson and Ian Bryson (research assistant).

    The collection includes maps, interview recordings (cassette tape), interview transcripts, photographs (print and digital) and fieldwork notes.

  13. f

    Royal Darwin hospital separations (Aboriginal people) and interpreter...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Elise O’Connor; Vicki Kerrigan; Robyn Aitken; Craig Castillon; Vincent Mithen; Gail Madrill; Curtis Roman; Anna P. Ralph (2023). Royal Darwin hospital separations (Aboriginal people) and interpreter booking requests during the baseline and intervention periods. [Dataset]. http://doi.org/10.1371/journal.pone.0257825.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Elise O’Connor; Vicki Kerrigan; Robyn Aitken; Craig Castillon; Vincent Mithen; Gail Madrill; Curtis Roman; Anna P. Ralph
    License

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

    Description

    Royal Darwin hospital separations (Aboriginal people) and interpreter booking requests during the baseline and intervention periods.

  14. Leading sports venues in NT, Australia 2023, by capacity

    • statista.com
    Updated Apr 3, 2024
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    Statista (2024). Leading sports venues in NT, Australia 2023, by capacity [Dataset]. https://www.statista.com/statistics/1129075/australia-sports-venue-capacity-in-the-northern-territory/
    Explore at:
    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Australia
    Description

    With a capacity of 12,500 people, TIO Stadium located in Darwin was the largest stadium by capacity in the Northern Territory, Australia in 2023. This was followed by the Territory Rugby League Stadium, located in Darwin, with a capacity of about ten thousand people.

  15. f

    Data from: Urban living influences the nesting success of Darwin’s finches...

    • figshare.com
    txt
    Updated Jan 5, 2021
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    Johanna Harvey; Kiley Chernicky; Shelby Simons; Taylor Verrett; Jaime Chaves; Sarah Knutie (2021). Urban living influences the nesting success of Darwin’s finches in the Galápagos Islands [Dataset]. http://doi.org/10.6084/m9.figshare.12928838.v2
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jan 5, 2021
    Dataset provided by
    figshare
    Authors
    Johanna Harvey; Kiley Chernicky; Shelby Simons; Taylor Verrett; Jaime Chaves; Sarah Knutie
    License

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

    Area covered
    Galápagos Islands
    Description

    1) We examined whether location (urban=PB and non-urban=OG) affected the binary presence or absence of nests with eggs, nests with nestlings, and trash in nest material. We examined the effect of location on hatching and nestling survival trials, where the response variable is a matrix of trials, which are successes and failures, where the number of eggs hatched and nestling fledged per nest represent successes while eggs not hatched and nestling mortalities represent failures, respectively. We also used examined the effect of location along with the proportion of anthropogenic debris in the nest on nestling survival, where nest survival was measured as successes and failures.2) Examined nest survival data over the incubation and nestling periods. Nest fates (binary success=1 or failure=0) over the number of exposure days where each exposure day (obsdays) is a trial. The explanatory variables are covariates of location (urban= PB and non-urban=OG) and proportion of anthropogenic debris in nests which are also weighted by the number of exposure days. Exposure days (obsdays) were calculated using the median of the last day the nest was known active to the last check day when the nest outcome or fate was known. 3) Calculated total person-hours by multiplying the number of hours searched by the number of people searching for each day at both sites (urban and non-urban respectively) across all days of the survey period. We tested survey effort using an independent t-test on total person-hours per day at each site.4) Reproductive activity of nests with eggs, nestlings, and fledgling (where fledging occurred that week) across each week of the study period in non-urban (OG) and urban (PB) sampling areas.

  16. f

    Shotgun sequencing and assembly of the genome of Geospiza magnirostris – one...

    • figshare.com
    bz2
    Updated Jan 11, 2016
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    Jonathan Eisen; Aaron Darling; Arhat Abzhanov; Dawei Lin; Michael Eisen; Clotilde Teiling; Benjamin Boese; Jason Affourtit; Celine Clabaut; Joseph Fass (2016). Shotgun sequencing and assembly of the genome of Geospiza magnirostris – one of the Darwin’s finches [Dataset]. http://doi.org/10.6084/m9.figshare.94516.v1
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    bz2Available download formats
    Dataset updated
    Jan 11, 2016
    Dataset provided by
    figshare
    Authors
    Jonathan Eisen; Aaron Darling; Arhat Abzhanov; Dawei Lin; Michael Eisen; Clotilde Teiling; Benjamin Boese; Jason Affourtit; Celine Clabaut; Joseph Fass
    License

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

    Description

    A paper describing this data set is in preparation. Draft text of the paper is below; Introduction “Darwin’s Finches” are a model system for the study of various aspects of evolution and development. In 2008 we commenced on a project to sequence the genomes of some of these species – inspired by the (then) upcoming celebration of the 200th anniversary of the birth of Charles Darwin (which was in February 2009). The project started with a brief discussion at the AGBT meeting in 2008 and then via an email conversation between Jonathan Eisen and Jason Affourtit about the possibility of a collaboration involving the 454 company (which was looking for projects to highlight the power of it’s then relatively new 454 sequencing machines). After further discussions between Jonathan Eisen, his brother Michael Eisen (who separately had become interested in Darwin’s finches) and people from 454 it was decided that this was a potentially good project for a scientific and marketing collaboration. In these conversations it was determined that the most likely limiting factor would be access to DNA from the finches. This was largely an issue due to the fact that the Galapagos Islands (where the finches reside) are a National Park in Ecuador and also a World Heritage site. Collection of samples there for any type of research is highly regulated. Thus, Jonathan Eisen made contact with Peter and Rosemary Grant – the most prominent researchers working on the finches – and who Eisen had discussed sequencing the finch genomes in the early 2000s. In that previous conversation it was determined that the sequencing would be too expensive to carry out without a major fundraising effort. However, with the advent of “next generation” sequencing methods such as 454 the total costs of such a project would be much lower. In the conversations with the Grants the Grants offered to ask around to see if anyone had sufficient amounts of DNA (or access to samples), which would be needed for genome library construction. Subsequently they identified Arkhat Abzhanov from Harvard as someone who likely had samples as well as permission to do DNA-based work on them, from many of the finch species. Abzhanov offered to provide samples from three key species (large ground finch Geospiza magnirostris, large cactus finch G. conirostris and sharp-billed finch G. difficilis) and DNA was sent to Roche-454 for sequencing in July of 2008. In August, the first “test” sequence data was provided from Geospiza magnirostris. A plan was then made to generate additional data and Roche offered to do the sequencing at their center at a steep discount. Funds were raised by Jonathan Eisen, Greg Wray, Monica Riley, and others to pay for the sequencing and over the next year or so, three sequencing bursts were conducted at Roche-454. As the most deeply sequenced species was G. magnirostris, an assembly was generated for this species using Newbler. We report here the results of the sequencing and assembly and present this as a “data paper” in order to make it available to the community. Methods DNA isolation: Samples were provided by Arkhat Abzhanov. A genomic DNA samples were taken from individual late stage embryos representing the three species of Darwin’s finches (G. magnirostris, G. conirostris and G. difficilis) collected during a field trip to the island of Genovesa (Galápagos) in 2009. The embryonic trunk tissue was preserved in RNAlater solution (Ambion) and treated as fresh tissue with a commercial genomic DNA preparation kit (QIAGEN Genomic DNA Purification Kit). The quality of the obtained gDNA was checked with a NanoDrop Spectrophotometer (ThermoScientific) and Agilent 2100 Bioanalyzer. Library construction and sequencing: DNA library construction and sequencing was done at 454-Corporation under the coordination of Timothy Harkins, Jason Affourtit, Clotilde Teiling and Benjamin Boese. DNA libraries were constructed using standard techniques for Roche-454 sequencing. In summary: 3 ug of purified genomic DNA was fractionated into fragments of the targeted size ranges; short adaptors were ligated to each fragments; single stranded fragments created and immobilized onto specifically designed DNA capture beads; the bead-bound library was emulsified with amplification reagents in water in oil mixture resulting in microreactors containing just (ideally) one bead with one unique sample-library fragment; emulsion beads then submitted to PCR amplification; emulsion mixture is then broken while the amplified fragments remain bound to their beads; and the DNA-carrying capture beads are loaded onto a PicoTiterPlate device for sequencing. The device was then loaded into the Genome Sequencer system where individual nucleotides are flowed in a fixed order across the open wells and DNA capture beads; complementary nucleotides to the template strand results in a chemiluminescent signal recorded by the CCD camera of the instrument. Roche-454 software was then used to determine the sequence of ~900,000 reads per instrument run – this is done by analyzing a combination of signal intensity and positional information generated across the PicoTiterPlate device. Sequencing results In total twenty-eight long read runs, ninety-six runs on 2.5kbp mate-pair libraries, and forty runs on 5kbp mate-pair libraries were generated. Mate-pair libraries in each size range were constructed multiple times, yielding five mate-pair libraries of approximately 5kbp insert size and an additional five libraries at about 2.5kbp. More detail on the sequencing data is provided in appendix 1. Assembly of G. magnirostris genome: Data from twenty-eight long read runs, ninety-six runs on 2.5kbp mate-pair libraries, and forty runs on 5kbp mate-pair libraries were combined for the assembly. Mate-pair libraries in each size range were constructed multiple times, yielding five mate-pair libraries of approximately 5kbp insert size and an additional five libraries at about 2.5kbp. Pyrosequencing reads in SFF format were assembled by the Newbler software version 2.3 using the vendor recommended protocol. Briefly, contigs were generated using the long read data, and mate-pair reads were mapped to the contigs and used to link contigs into scaffolds. In total, 24.4 million reads comprising 7.0Gbp were used to form contigs and an additional 4.1 million read pairs were used for scaffolding. The resulting assembly contains 12958 scaffolds in an estimated genome size of 1254.6Mbp, with a scaffold N50 of 382kbp. The scaffolds comprise 394409 contigs spanning 958.3Mbp. The coverage distribution has a median at 6.5x with a long tail to the right, suggesting that some repeat regions may not be fully resolved.
    Conclusion We are currently carrying out a more detailed analysis of the genome assembly but wanted to release the data to the community and thus have written this “data” paper. Acknowledgements We acknowledge the following people: Peter and Rosemary Grant for helping initiate the project, Greg Wray and Peg Riley for financial support, Russell Neches for assistance with some sequencing analyses, and Brian Desany, Karin Frederickson, Courtney Brady and Take Ogawa for help with communications with Roche.

  17. Philippines Outbound Phil Residents: Port of Disembarkation: Darwin, Nt

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Philippines Outbound Phil Residents: Port of Disembarkation: Darwin, Nt [Dataset]. https://www.ceicdata.com/en/philippines/outbound-philippine-residents-annual-by-port-of-disembarkation/outbound-phil-residents-port-of-disembarkation-darwin-nt
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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
    Dec 1, 2006 - Dec 1, 2016
    Area covered
    Philippines
    Description

    Philippines Outbound Phil Residents: Port of Disembarkation: Darwin, Nt data was reported at 17,874.000 Person in 2016. This records an increase from the previous number of 0.000 Person for 2015. Philippines Outbound Phil Residents: Port of Disembarkation: Darwin, Nt data is updated yearly, averaging 508.000 Person from Dec 2006 (Median) to 2016, with 10 observations. The data reached an all-time high of 17,874.000 Person in 2016 and a record low of 0.000 Person in 2015. Philippines Outbound Phil Residents: Port of Disembarkation: Darwin, Nt data remains active status in CEIC and is reported by Department of Tourism. The data is categorized under Global Database’s Philippines – Table PH.Q013: Outbound Philippine Residents: Annual: By Port of Disembarkation.

  18. Indonesia Passenger Departure: International: East Nusa Tenggara: Kupang...

    • ceicdata.com
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    CEICdata.com, Indonesia Passenger Departure: International: East Nusa Tenggara: Kupang (Eltari)-Darwin [Dataset]. https://www.ceicdata.com/en/indonesia/passenger-departure-international-by-origin-and-destination/passenger-departure-international-east-nusa-tenggara-kupang-eltaridarwin
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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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Indonesia
    Variables measured
    Passenger Traffic
    Description

    Indonesia Passenger Departure: International: East Nusa Tenggara: Kupang (Eltari)-Darwin data was reported at 14.000 Person in 2017. This records a decrease from the previous number of 27.000 Person for 2016. Indonesia Passenger Departure: International: East Nusa Tenggara: Kupang (Eltari)-Darwin data is updated yearly, averaging 104.000 Person from Dec 2006 (Median) to 2017, with 7 observations. The data reached an all-time high of 1,504.000 Person in 2006 and a record low of 4.000 Person in 2011. Indonesia Passenger Departure: International: East Nusa Tenggara: Kupang (Eltari)-Darwin data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Transport and Telecommunication Sector – Table ID.TB016: Passenger Departure: International: by Origin and Destination.

  19. Indonesia Passenger Departure: International: Banten: Soekarno Hatta-Darwin

    • ceicdata.com
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    CEICdata.com, Indonesia Passenger Departure: International: Banten: Soekarno Hatta-Darwin [Dataset]. https://www.ceicdata.com/en/indonesia/passenger-departure-international-by-origin-and-destination/passenger-departure-international-banten-soekarno-hattadarwin
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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
    Dec 1, 2006 - Dec 1, 2009
    Area covered
    Indonesia
    Variables measured
    Passenger Traffic
    Description

    Indonesia Passenger Departure: International: Banten: Soekarno Hatta-Darwin data was reported at 57.000 Person in 2009. This records a decrease from the previous number of 439.000 Person for 2008. Indonesia Passenger Departure: International: Banten: Soekarno Hatta-Darwin data is updated yearly, averaging 167.000 Person from Dec 2006 (Median) to 2009, with 3 observations. The data reached an all-time high of 439.000 Person in 2008 and a record low of 57.000 Person in 2009. Indonesia Passenger Departure: International: Banten: Soekarno Hatta-Darwin data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Transport and Telecommunication Sector – Table ID.TB016: Passenger Departure: International: by Origin and Destination.

  20. Indonesia Passenger Departure: International: Bali: Ngurah Rai-Darwin

    • ceicdata.com
    Updated Aug 29, 2019
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    CEICdata.com (2019). Indonesia Passenger Departure: International: Bali: Ngurah Rai-Darwin [Dataset]. https://www.ceicdata.com/en/indonesia/passenger-departure-international-by-origin-and-destination/passenger-departure-international-bali-ngurah-raidarwin
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    Dataset updated
    Aug 29, 2019
    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Indonesia
    Variables measured
    Passenger Traffic
    Description

    Indonesia Passenger Departure: International: Bali: Ngurah Rai-Darwin data was reported at 61,756.000 Person in 2017. This records an increase from the previous number of 57,792.000 Person for 2016. Indonesia Passenger Departure: International: Bali: Ngurah Rai-Darwin data is updated yearly, averaging 55,124.000 Person from Dec 2006 (Median) to 2017, with 11 observations. The data reached an all-time high of 96,736.000 Person in 2011 and a record low of 8,098.000 Person in 2006. Indonesia Passenger Departure: International: Bali: Ngurah Rai-Darwin data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Transport and Telecommunication Sector – Table ID.TB016: Passenger Departure: International: by Origin and Destination.

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Neilsberg Research (2024). Median Household Income Variation by Family Size in Darwin, MN: Comparative analysis across 7 household sizes [Dataset]. https://www.neilsberg.com/research/datasets/1ad43295-73fd-11ee-949f-3860777c1fe6/

Median Household Income Variation by Family Size in Darwin, MN: Comparative analysis across 7 household sizes

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csv, jsonAvailable download formats
Dataset updated
Jan 11, 2024
Dataset authored and provided by
Neilsberg Research
License

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

Area covered
Minnesota, Darwin
Variables measured
Household size, Median Household Income
Measurement technique
The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across 7 household sizes (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out how household income varies with the size of the family unit. For additional information about these estimations, please contact us via email at research@neilsberg.com
Dataset funded by
Neilsberg Research
Description
About this dataset

Context

The dataset presents median household incomes for various household sizes in Darwin, MN, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

  • Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Darwin did not include 3, 5, or 7-person households. Across the different household sizes in Darwin the mean income is $95,480, and the standard deviation is $45,159. The coefficient of variation (CV) is 47.30%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
  • In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $32,427. It then further increased to $135,790 for 6-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/darwin-mn-median-household-income-by-household-size.jpeg" alt="Darwin, MN median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

  • 1-person households
  • 2-person households
  • 3-person households
  • 4-person households
  • 5-person households
  • 6-person households
  • 7-or-more-person households

Variables / Data Columns

  • Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
  • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Darwin median household income. You can refer the same here

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