7 datasets found
  1. Challenging Racism Project National Dataset

    • researchdata.edu.au
    Updated May 16, 2023
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    Dunn Kevin; Kevin Dunn (2023). Challenging Racism Project National Dataset [Dataset]. http://doi.org/10.26183/XKRP-B971
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    Dataset updated
    May 16, 2023
    Dataset provided by
    Western Sydney Universityhttp://www.uws.edu.au/
    Authors
    Dunn Kevin; Kevin Dunn
    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, 2001 - Jan 1, 2011
    Description

    Challenging Racism Project National Dataset contains 43 surveys items including questions assessing racial attitudes, social distance items (level of concern if a close friend or family member married a person of specific background), experiences of racism, frequency of interethnic mixing, demographic questions, and geographical identifiers. The 12512 surveys were conducted via a telephone by the Social Research Centre and the Hunter Valley Research Foundation's call centre on behalf of the project. Queensland and NSW data were collected in 2001, Victoria in 2006, South Australia and Australian Capital Territory in 2007, and Northern Territory, Tasmania and Perth in 2008. Survey respondents were not identifiable, beyond demographic characteristics collected. The data were analysed by using SPSS.

  2. N

    Median Household Income by Racial Categories in Au Sable charter Township,...

    • neilsberg.com
    csv, json
    Updated Jan 3, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income by Racial Categories in Au Sable charter Township, Michigan (2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/34f0d45d-8904-11ee-9302-3860777c1fe6/
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    csv, jsonAvailable download formats
    Dataset updated
    Jan 3, 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
    Au Sable Township, Michigan
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. 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 the median household income across different racial categories in Au Sable charter township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of Au Sable charter township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 94.09% of the total residents in Au Sable charter township. Notably, the median household income for White households is $46,614. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $46,614.

    https://i.neilsberg.com/ch/au-sable-charter-township-mi-median-household-income-by-race.jpeg" alt="Au Sable charter township median household income diversity across racial categories">

    Content

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

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Au Sable charter township.
    • Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

    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 Au Sable charter township median household income by race. You can refer the same here

  3. r

    Koori Health Research Database

    • researchdata.edu.au
    • bridges.monash.edu
    Updated Apr 9, 2018
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    JANET MCCALMAN; Len Smith; SANDRA SILCOT; Rebecca Kippen (2018). Koori Health Research Database [Dataset]. http://doi.org/10.4225/03/5a9779c80f529
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    Dataset updated
    Apr 9, 2018
    Dataset provided by
    Monash University
    Authors
    JANET MCCALMAN; Len Smith; SANDRA SILCOT; Rebecca Kippen
    Description

    The Koori Health Research Database (KHRD) contains the genealogies and life events of approximately 8,000 Kooris who lived in Victoria and New South Wales in the nineteenth and twentieth centuries.

    In 1999, work began in a partnership between the University of Melbourne and the Bunjilaka Centre at Museum Victoria to build a database of the Aboriginal (Koori) population of Victoria since colonisation. The KHRD is a collection of genealogies built from the Koori community’s carefully preserved oral knowledge of lineages and relationships, supplemented with vital registration data and information from other historical records.

    Publications

    1. Len Smith, Janet McCalman, Ian Anderson, Sandra Smith, Joanne Evans, Gavan McCarthy, Jane Beer 2008. ‘Fractional identities: the political arithmetic of Aboriginal Victorians’, Journal of Interdisciplinary History, 38: 533–551.

    2. Janet McCalman, Len Smith, Ian Anderson, Ruth Morley, Gita Mishra 2009. ‘Colonialism and the health transition: Aboriginal Australians and poor whites compared, Victoria, 1850–1985’, History of the Family, 14: 253–265.

    3. Janet McCalman, Ruth Morley, Len Smith, Ian Anderson 2011. ‘Colonial health transitions: Aboriginal and ‘poor white’ infant mortality compared, Victoria 1850–1910’, History of the Family, 16: 62–77.

    4. Janet McCalman, Len Smith 2016. ‘Family and country: accounting for fractured connections under colonisation in Victoria, Australia’, Journal of Population Research, 33: 51–65.

    5. Per Axelsson, Tahu Kukutai, Rebecca Kippen 2016. ‘The field of Indigenous health and the role of colonisation and history’, Journal of Population Research, 33: 1–7.

  4. f

    Mitochondrial haplogroups in an Australian and British Caucasian diabetic...

    • open.flinders.edu.au
    • researchdata.edu.au
    xlsx
    Updated May 31, 2023
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    Jamie Craig; Ebony Liu; Georgia Kaidonis; Mark Gilles; Sotoodeh Abhary; Rohan Essex; John Chang; Bishwanath Pal; Mark Daniell; Stewart Lake; Jolly Gilhotra; Nikolai Petrovsky; Alex Hewitt; Alicia Jenkins; Ecosse Lamoureux; Jonathan Gleadle; Kathryn Burdon (2023). Mitochondrial haplogroups in an Australian and British Caucasian diabetic sample with and without retinopathy [Dataset]. http://doi.org/10.25957/5c060cbdb9162
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Flinders University
    Authors
    Jamie Craig; Ebony Liu; Georgia Kaidonis; Mark Gilles; Sotoodeh Abhary; Rohan Essex; John Chang; Bishwanath Pal; Mark Daniell; Stewart Lake; Jolly Gilhotra; Nikolai Petrovsky; Alex Hewitt; Alicia Jenkins; Ecosse Lamoureux; Jonathan Gleadle; Kathryn Burdon
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Area covered
    Australia, United Kingdom
    Description

    This dataset has information on approximately 3000 de-identified individuals.Information includes: mitochondrial haplogroup as determined by genotyping and Haplogrep, demographic and clinical information such as diabetic retinopathy grading.Data is expressed in numbers. Unless otherwise specified in the headings, “-9” means unknown, “1” means no and “2” means yes.Further details regarding the methodology can be found in our manuscript “Mitochondrial haplogroups are not associated with diabetic retinopathy in a large Australian and British Caucasian sample” published by Scientific Reports 2018.Date coverage: 2006-01-01 - 2018-07-03Location: Various hospitals in Australia and United Kingdom

  5. d

    Picture Australia metadata

    • data.gov.au
    • researchdata.edu.au
    • +1more
    xml
    Updated Mar 7, 2015
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    National Library of Australia (2015). Picture Australia metadata [Dataset]. https://data.gov.au/data/dataset/activity/picture-australia-metadata
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    xml(216396788)Available download formats
    Dataset updated
    Mar 7, 2015
    Dataset provided by
    National Library of Australia
    Area covered
    Australia
    Description

    Picture Australia is an Internet based service that allows you to search many significant online pictorial collections at the same time. When you do a search on Picture Australia, thumbnail images are retrieved from participating institutions on the fly and inserted into the search results.

    Picture Australia provides access to images that cover all aspects of Australiana:

    • Artworks include paintings, drawings, prints and posters of abstract art, fine art and portraits
    • Photographs capture people, places and events
    • Objects include sculpture, scrimshaw, bark, costume, weapons
    • Images may be in black and white or full colour.

    This dataset contains metadata from all participating institutions (except for those from the State Library of Tasmania).

  6. f

    Summary of candidate data sets.

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Elin Charles-Edwards; Jonathan Corcoran; Julia Loginova; Radoslaw Panczak; Gentry White; Alexander Whitehead (2023). Summary of candidate data sets. [Dataset]. http://doi.org/10.1371/journal.pone.0259377.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Elin Charles-Edwards; Jonathan Corcoran; Julia Loginova; Radoslaw Panczak; Gentry White; Alexander Whitehead
    License

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

    Description

    Summary of candidate data sets.

  7. g

    Coalition of the Willing, Coalition of the Willing Member Countries...

    • geocommons.com
    Updated Apr 29, 2008
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    data (2008). Coalition of the Willing, Coalition of the Willing Member Countries Identified, World, 2002 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Apr 29, 2008
    Dataset provided by
    data
    http://en.wikipedia.org/wiki/Coalition_of_the_willing#.22Coalition_of_the_willing.22
    Description

    In November 2002, U.S. President George W. Bush, visiting Europe for a NATO summit, declared that "should Iraqi President Saddam Hussein choose not to disarm, the United States will lead a coalition of the willing to disarm him." This dataset is a list of countries included in the "Coalition of the Willing." http://www.whitehouse.gov/news/releases/2003/03/20030327-10.html The original list prepared in March 2003 included 49 members. Of those 49, only four besides the U.S. contributed troops to the invasion force (the United Kingdom, Australia, Poland, and Denmark). 33 provided some number of troops to support the occupation after the invasion was complete. At least six members have no military. The war was deeply unpopular amongst the citizens of all the coalition countries except the United States and at least one, Costa Rica (which has no armed forces), requested in September 2004 to no longer be considered a member. Today the official White House list of the coalition shows 48 member states, however, the relevance of placing several of these members on the list has been questioned. Source: http://en.wikipedia.org/wiki/Coalition_of_the_willing#.22Coalition_of_the_willing.22 Accessed on 9 October 2007

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Dunn Kevin; Kevin Dunn (2023). Challenging Racism Project National Dataset [Dataset]. http://doi.org/10.26183/XKRP-B971
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Challenging Racism Project National Dataset

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 16, 2023
Dataset provided by
Western Sydney Universityhttp://www.uws.edu.au/
Authors
Dunn Kevin; Kevin Dunn
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, 2001 - Jan 1, 2011
Description

Challenging Racism Project National Dataset contains 43 surveys items including questions assessing racial attitudes, social distance items (level of concern if a close friend or family member married a person of specific background), experiences of racism, frequency of interethnic mixing, demographic questions, and geographical identifiers. The 12512 surveys were conducted via a telephone by the Social Research Centre and the Hunter Valley Research Foundation's call centre on behalf of the project. Queensland and NSW data were collected in 2001, Victoria in 2006, South Australia and Australian Capital Territory in 2007, and Northern Territory, Tasmania and Perth in 2008. Survey respondents were not identifiable, beyond demographic characteristics collected. The data were analysed by using SPSS.

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