6 datasets found
  1. f

    Racism and health in New Zealand: Prevalence over time and associations...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    tiff
    Updated Jun 2, 2023
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    Ricci B. Harris; James Stanley; Donna M. Cormack (2023). Racism and health in New Zealand: Prevalence over time and associations between recent experience of racism and health and wellbeing measures using national survey data [Dataset]. http://doi.org/10.1371/journal.pone.0196476
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    tiffAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ricci B. Harris; James Stanley; Donna M. Cormack
    License

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

    Description

    ObjectivesRacism is an important health determinant that contributes to ethnic health inequities. This study sought to describe New Zealand adults’ reported recent experiences of racism over a 10 year period. It also sought to examine the association between recent experience of racism and a range of negative health and wellbeing measures.MethodsThe study utilised previously collected data from multiple cross-sectional national surveys (New Zealand Health Surveys 2002/03, 2006/07, 2011/12; and General Social Surveys 2008, 2010, 2012) to provide prevalence estimates of reported experience of racism (in the last 12 months) by major ethnic groupings in New Zealand. Meta-analytical techniques were used to provide improved estimates of the association between recent experience of racism and negative health from multivariable models, for the total cohorts and stratified by ethnicity.ResultsReported recent experience of racism was highest among Asian participants followed by Māori and Pacific peoples, with Europeans reporting the lowest experience of racism. Among Asian participants, reported experience of racism was higher for those born overseas compared to those born in New Zealand. Recent experience of racism appeared to be declining for most groups over the time period examined. Experience of racism in the last 12 months was consistently associated with negative measures of health and wellbeing (SF-12 physical and mental health component scores, self-rated health, overall life satisfaction). While exposure to racism was more common in the non-European ethnic groups, the impact of recent exposure to racism on health was similar across ethnic groups, with the exception of SF-12 physical health.ConclusionsThe higher experience of racism among non-European groups remains an issue in New Zealand and its potential effects on health may contribute to ethnic health inequities. Ongoing focus and monitoring of racism as a determinant of health is required to inform and improve interventions.

  2. Sociodemographic characteristics of participants by survey.

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 30, 2023
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    Ricci B. Harris; James Stanley; Donna M. Cormack (2023). Sociodemographic characteristics of participants by survey. [Dataset]. http://doi.org/10.1371/journal.pone.0196476.t002
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ricci B. Harris; James Stanley; Donna M. Cormack
    License

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

    Description

    Sociodemographic characteristics of participants by survey.

  3. g

    NESP MaC Project 5.7 - Updating knowledge of Australian white sharks |...

    • gimi9.com
    Updated Apr 13, 2025
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    (2025). NESP MaC Project 5.7 - Updating knowledge of Australian white sharks | gimi9.com [Dataset]. https://gimi9.com/dataset/au_nesp-mac-project-5-7-updating-knowledge-of-australian-white-sharks/
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    Dataset updated
    Apr 13, 2025
    Area covered
    Australia
    Description

    This record provides an overview of the NESP Marine and Coastal Hub project "Updating knowledge of Australian white sharks". For specific data outputs from this project, please see child records associated with this metadata. The white shark is listed as vulnerable and migratory under Australia’s Environment Protection and Biodiversity Conservation Act 1999. The national White Shark Recovery Plan 2013 sets out research and management actions necessary to support the recovery of the white shark in Australian waters. Previous research funded by the National Environmental Science Program (NESP) provided updated estimates of white shark breeding population size and trend. However, the results were based on modest data sets and were limited by some critical knowledge gaps in relation to pupping and juvenile nursery areas, and uncertainty about how populations are connected between eastern and south-western Australia. Recent unpublished work has raised the prospect of a single Australian population. The White Shark Recovery Plan 2013 has identified a critical need for a quantitative assessment of population trends and evidence of any recovery of the white shark in Australian waters. This project will provide an update and reduce uncertainty regarding the status, trends, and population structure of white sharks in Australian waters. Specifically, it will focus efforts to identify critical habitats and biologically important areas for white sharks and improve the understanding of population status through advancing close-kin mark recapture research. Three project sub-components will involve: • Investigating the feasibility of filling knowledge gaps about juvenile and pupping areas and adult movements; • Investigating population structure to resolve mixing/connectivity questions; and • Updating population estimates based on significant new data. The project approach will comprise of: (1) A pilot study to assess the effectiveness of tagging adult females (>4.5 metres) and juveniles (>2 m) throughout the southern-western white shark range. Genetic samples will be gathered from around Australia and sought from South Africa and New Zealand to conduct a comprehensive update of white shark stock structure. (2) Using an expanded tissue sample set from New South Wales (~1000 samples) to update and refine estimates of adult population size and population trend for the eastern white shark population. Juvenile numbers will be estimated using data from the New South Wales shark management program. Additional samples from South Australia and Western Australia will be combined with previous samples in the southern-western population to refine estimates of population size. (3) Population estimates undertaken using close-kin mark-recapture, a technique that combines advanced genetics and statistical modelling to infer population demographics by identifying close-kin-pairs (parent-offspring or half-siblings) among a collection of sampled animals. Outputs • New genetic samples and sequencing data for white sharks [dataset] • Tracking data derived from 12 PAT tags [dataset] • Final technical report (including recommendations for systematic future research to assist in identifying additional critical habitat for the south-western white shark population) [written]

  4. Association of sociodemographic factors and experience of racism (last 12...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Ricci B. Harris; James Stanley; Donna M. Cormack (2023). Association of sociodemographic factors and experience of racism (last 12 months), from meta-analysis of multivariable logistic regression across all six surveys (NZHS and GSS). [Dataset]. http://doi.org/10.1371/journal.pone.0196476.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ricci B. Harris; James Stanley; Donna M. Cormack
    License

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

    Description

    Association of sociodemographic factors and experience of racism (last 12 months), from meta-analysis of multivariable logistic regression across all six surveys (NZHS and GSS).

  5. Máori businesses - Statistics 2017-2018.

    • kaggle.com
    zip
    Updated Aug 22, 2019
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    Marília Prata (2019). Máori businesses - Statistics 2017-2018. [Dataset]. https://www.kaggle.com/datasets/mpwolke/cusersmarildownloadsmaorizip
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    zip(11941 bytes)Available download formats
    Dataset updated
    Aug 22, 2019
    Authors
    Marília Prata
    Description

    Context

    Tatauranga umanga Māori – Statistics for Māori businesses: 2017–18 – metadata for CSV files. Tatauranga = statistics. Umanga = business. Aotearoa = New Zealand. Máori language. These files contain the metadata for the CSV files published with this release. List of worksheets:
    Agriculture Production Survey.
    Business Demography Statistics.
    Business Operations Survey.
    Linked Employer-Employee Dataset (LEED).
    Conditions of supply.
    Published by Stats NZ, 07 June 2019.
    www.stats.govt.nz https://www.stats.govt.nz/large-datasets/csv-files-for-download/

    Content

    Statistics New Zealand, branded as Stats NZ, is the public service department of New Zealand charged with the collection of statistics related to the economy, population and society of New Zealand. To this end, Stats NZ produces censuses and surveys. https://en.wikipedia.org/wiki/Statistics_New_Zealand Tatauranga mean statistics (mathematical science). https://en.wiktionary.org/wiki/

    Acknowledgements

    "Source: Stats NZ and licensed by Stats NZ for re-use under the Creative Commons Attribution 4.0 International licence."

    ***Photo by pixpoetry on Unsplash.

    Inspiration

    Aotearoa is the Maori name for the country of New Zealand. The literal translation of Aotearoa is "land of the long white cloud". https://www.maori.com/aotearoa Te Reo Máori it's a taonga (treasure) to be protected.

  6. f

    Summary of surveys.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 3, 2023
    + more versions
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    Ricci B. Harris; James Stanley; Donna M. Cormack (2023). Summary of surveys. [Dataset]. http://doi.org/10.1371/journal.pone.0196476.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ricci B. Harris; James Stanley; Donna M. Cormack
    License

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

    Description

    Summary of surveys.

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Ricci B. Harris; James Stanley; Donna M. Cormack (2023). Racism and health in New Zealand: Prevalence over time and associations between recent experience of racism and health and wellbeing measures using national survey data [Dataset]. http://doi.org/10.1371/journal.pone.0196476

Racism and health in New Zealand: Prevalence over time and associations between recent experience of racism and health and wellbeing measures using national survey data

Explore at:
56 scholarly articles cite this dataset (View in Google Scholar)
tiffAvailable download formats
Dataset updated
Jun 2, 2023
Dataset provided by
PLOS ONE
Authors
Ricci B. Harris; James Stanley; Donna M. Cormack
License

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

Description

ObjectivesRacism is an important health determinant that contributes to ethnic health inequities. This study sought to describe New Zealand adults’ reported recent experiences of racism over a 10 year period. It also sought to examine the association between recent experience of racism and a range of negative health and wellbeing measures.MethodsThe study utilised previously collected data from multiple cross-sectional national surveys (New Zealand Health Surveys 2002/03, 2006/07, 2011/12; and General Social Surveys 2008, 2010, 2012) to provide prevalence estimates of reported experience of racism (in the last 12 months) by major ethnic groupings in New Zealand. Meta-analytical techniques were used to provide improved estimates of the association between recent experience of racism and negative health from multivariable models, for the total cohorts and stratified by ethnicity.ResultsReported recent experience of racism was highest among Asian participants followed by Māori and Pacific peoples, with Europeans reporting the lowest experience of racism. Among Asian participants, reported experience of racism was higher for those born overseas compared to those born in New Zealand. Recent experience of racism appeared to be declining for most groups over the time period examined. Experience of racism in the last 12 months was consistently associated with negative measures of health and wellbeing (SF-12 physical and mental health component scores, self-rated health, overall life satisfaction). While exposure to racism was more common in the non-European ethnic groups, the impact of recent exposure to racism on health was similar across ethnic groups, with the exception of SF-12 physical health.ConclusionsThe higher experience of racism among non-European groups remains an issue in New Zealand and its potential effects on health may contribute to ethnic health inequities. Ongoing focus and monitoring of racism as a determinant of health is required to inform and improve interventions.

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