30 datasets found
  1. A

    ‘2014 MEDIAN HOUSEHOLD INCOME of Minority Veterans and Non-Veterans by Age’...

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘2014 MEDIAN HOUSEHOLD INCOME of Minority Veterans and Non-Veterans by Age’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-2014-median-household-income-of-minority-veterans-and-non-veterans-by-age-d03f/latest
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    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘2014 MEDIAN HOUSEHOLD INCOME of Minority Veterans and Non-Veterans by Age’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/5154212d-fdad-49c3-a9dc-06a6795b7bf4 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    Dataset listing median household income, for the year 2014, of Minority veterans as well as non-veterans, by age.

    --- Original source retains full ownership of the source dataset ---

  2. 2014 MEDIAN HOUSEHOLD INCOME of Minority Veterans and Non-Veterans by Age

    • catalog.data.gov
    • data.va.gov
    • +1more
    Updated Nov 23, 2021
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    Department of Veteran Affairs (2021). 2014 MEDIAN HOUSEHOLD INCOME of Minority Veterans and Non-Veterans by Age [Dataset]. https://catalog.data.gov/dataset/2014-median-household-income-of-minority-veterans-and-non-veterans-by-age
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    Dataset updated
    Nov 23, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    Dataset listing median household income, for the year 2014, of Minority veterans as well as non-veterans, by age.

  3. A

    ‘Key Characteristics of Californians Age 60 and Over’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Key Characteristics of Californians Age 60 and Over’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-key-characteristics-of-californians-age-60-and-over-a1c4/latest
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    California
    Description

    Analysis of ‘Key Characteristics of Californians Age 60 and Over’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ea6fb841-5e45-4d44-ab57-d24556fe88af on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    This data set presents key demographic characteristics of Californians Age 60 and Over. This data set can be viewed by county or Area Agency on Aging Planning and Services Area. Key sociodemographic variables include: lives alone, low income, minority/non-minority, non-English speaking, and living in a rural area. This data is based on multiple federal and state sources.

    --- Original source retains full ownership of the source dataset ---

  4. Visible minority group of persons with and without disabilities aged 15...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Nov 28, 2018
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    Government of Canada, Statistics Canada (2018). Visible minority group of persons with and without disabilities aged 15 years and over, by age group and sex, Canada [Dataset]. http://doi.org/10.25318/1310038001-eng
    Explore at:
    Dataset updated
    Nov 28, 2018
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Differences between persons with and without disabilities in terms of which visible or non-visible minority group they belong to, by age group and sex, Canada

  5. Canadian postsecondary graduates by visible minority group, educational...

    • open.canada.ca
    • www150.statcan.gc.ca
    csv, html, xml
    Updated Jun 25, 2025
    + more versions
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    Statistics Canada (2025). Canadian postsecondary graduates by visible minority group, educational qualification, field of study (STEM and BHASE (non-STEM) groupings), gender and age [Dataset]. https://open.canada.ca/data/dataset/e7d828e2-cd96-4921-b016-6dcb7bb51e3f
    Explore at:
    html, csv, xmlAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Number of Canadian postsecondary graduates by visible minority group, educational qualification (Classification of programs and credentials - professional degree variant), field of study (Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 Science, technology, engineering and mathematics (STEM) and Business, humanities, health, arts, social science and education (BHASE) groupings), gender and age group.

  6. u

    Occupation (STEM and non-STEM) by visible minority, generation status, age...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
    + more versions
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    (2024). Occupation (STEM and non-STEM) by visible minority, generation status, age and gender: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-e7f54fb3-8a78-4f03-aa31-c1785c8c4f57
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    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Data on the STEM (Science, Technology, Engineering and Mathematics) variant of the National Occupational Classification (NOC) 2021 version 1.0 by visible minority, generation status, age and gender.

  7. A

    ‘Older Americans Act Title IIIC-2 Nutrition Services – Home Delivered Meals...

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Older Americans Act Title IIIC-2 Nutrition Services – Home Delivered Meals Program and Participants’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-older-americans-act-title-iiic-2-nutrition-services-home-delivered-meals-program-and-participants-ade6/latest
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Older Americans Act Title IIIC-2 Nutrition Services – Home Delivered Meals Program and Participants’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/a62f1621-6850-4ed1-afa7-7503c091a960 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    This data set represents the total number of Californians age 60 and over who were provided a home delivered meal from the Older Americans Act Title IIIC-2 Nutrition Services Program. Key sociodemographic variables include: age, high risk nutrition status, low income, lives alone and minority/non-minority.

    --- Original source retains full ownership of the source dataset ---

  8. a

    Low Income Cutoffs after tax Visible Minority age 18 to 24 male

    • community-prosperity-hub-fredericton.hub.arcgis.com
    • zero-hunger-fredericton.hub.arcgis.com
    • +1more
    Updated Jul 30, 2020
    + more versions
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    City of Fredericton - Ville de Fredericton (2020). Low Income Cutoffs after tax Visible Minority age 18 to 24 male [Dataset]. https://community-prosperity-hub-fredericton.hub.arcgis.com/datasets/low-income-cutoffs-after-tax-visible-minority-age-18-to-24-male
    Explore at:
    Dataset updated
    Jul 30, 2020
    Dataset authored and provided by
    City of Fredericton - Ville de Fredericton
    Description

    Low-income cut-offs, after tax (LICO-AT) - The Low-income cut-offs, after tax refers to an income threshold, defined using 1992 expenditure data, below which economic families or persons not in economic families would likely have devoted a larger share of their after-tax income than average to the necessities of food, shelter and clothing. More specifically, the thresholds represented income levels at which these families or persons were expected to spend 20 percentage points or more of their after-tax income than average on food, shelter and clothing. These thresholds have been adjusted to current dollars using the all-items Consumer Price Index (CPI).The LICO-AT has 35 cut-offs varying by seven family sizes and five different sizes of area of residence to account for economies of scale and potential differences in cost of living in communities of different sizes. These thresholds are presented in Table 4.3 Low-income cut-offs, after tax (LICO-AT - 1992 base) for economic families and persons not in economic families, 2015, Dictionary, Census of Population, 2016.When the after-tax income of an economic family member or a person not in an economic family falls below the threshold applicable to the person, the person is considered to be in low income according to LICO-AT. Since the LICO-AT threshold and family income are unique within each economic family, low-income status based on LICO-AT can also be reported for economic families.Return to footnote1referrerFootnote 2For more information on generation status variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Place of Birth, Generation Status, Citizenship and Immigration Reference Guide, Census of Population, 2016.Return to footnote2referrerFootnote 3Low-income status - The income situation of the statistical unit in relation to a specific low-income line in a reference year. Statistical units with income that is below the low-income line are considered to be in low income.For the 2016 Census, the reference period is the calendar year 2015 for all income variables.Return to footnote3referrerFootnote 4The low-income concepts are not applied in the territories and in certain areas based on census subdivision type (such as Indian reserves). The existence of substantial in-kind transfers (such as subsidized housing and First Nations band housing) and sizeable barter economies or consumption from own production (such as product from hunting, farming or fishing) could make the interpretation of low-income statistics more difficult in these situations.Return to footnote4referrerFootnote 5Prevalence of low income - The proportion or percentage of units whose income falls below a specified low-income line.Return to footnote5referrerFootnote 6For more information on the Visible minority variable, including information on its classification, the questions from which it is derived, data quality and its comparability with other sources of data, please refer to the Visible Minority and Population Group Reference Guide, Census of Population, 2016.Return to footnote6referrerFootnote 7The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.'Return to footnote7referrerFootnote 8For example, 'East Indian,' 'Pakistani,' 'Sri Lankan,' etc.Return to footnote8referrerFootnote 9For example, 'Vietnamese,' 'Cambodian,' 'Laotian,' 'Thai,' etc.Return to footnote9referrerFootnote 10For example, 'Afghan,' 'Iranian,' etc.Return to footnote10referrerFootnote 11The abbreviation 'n.i.e.' means 'not included elsewhere.' Includes persons with a write-in response such as 'Guyanese,' 'West Indian,' 'Tibetan,' 'Polynesian,' 'Pacific Islander,' etc.Return to footnote11referrerFootnote 12Includes persons who gave more than one visible minority group by checking two or more mark-in responses, e.g., 'Black' and 'South Asian.'Return to footnote12referrerFootnote 13Includes persons who reported 'Yes' to the Aboriginal group question (Question 18), as well as persons who were not considered to be members of a visible minority group.

  9. a

    Low Income Cutoffs after tax Visible Minority age 0 to 17 total sex

    • decent-work-and-economic-growth-fredericton.hub.arcgis.com
    • gender-equality-fredericton.hub.arcgis.com
    • +3more
    Updated Jul 30, 2020
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    City of Fredericton - Ville de Fredericton (2020). Low Income Cutoffs after tax Visible Minority age 0 to 17 total sex [Dataset]. https://decent-work-and-economic-growth-fredericton.hub.arcgis.com/datasets/low-income-cutoffs-after-tax-visible-minority-age-0-to-17-total-sex
    Explore at:
    Dataset updated
    Jul 30, 2020
    Dataset authored and provided by
    City of Fredericton - Ville de Fredericton
    Description

    Low-income cut-offs, after tax (LICO-AT) - The Low-income cut-offs, after tax refers to an income threshold, defined using 1992 expenditure data, below which economic families or persons not in economic families would likely have devoted a larger share of their after-tax income than average to the necessities of food, shelter and clothing. More specifically, the thresholds represented income levels at which these families or persons were expected to spend 20 percentage points or more of their after-tax income than average on food, shelter and clothing. These thresholds have been adjusted to current dollars using the all-items Consumer Price Index (CPI).The LICO-AT has 35 cut-offs varying by seven family sizes and five different sizes of area of residence to account for economies of scale and potential differences in cost of living in communities of different sizes. These thresholds are presented in Table 4.3 Low-income cut-offs, after tax (LICO-AT - 1992 base) for economic families and persons not in economic families, 2015, Dictionary, Census of Population, 2016.When the after-tax income of an economic family member or a person not in an economic family falls below the threshold applicable to the person, the person is considered to be in low income according to LICO-AT. Since the LICO-AT threshold and family income are unique within each economic family, low-income status based on LICO-AT can also be reported for economic families.Return to footnote1referrerFootnote 2For more information on generation status variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Place of Birth, Generation Status, Citizenship and Immigration Reference Guide, Census of Population, 2016.Return to footnote2referrerFootnote 3Low-income status - The income situation of the statistical unit in relation to a specific low-income line in a reference year. Statistical units with income that is below the low-income line are considered to be in low income.For the 2016 Census, the reference period is the calendar year 2015 for all income variables.Return to footnote3referrerFootnote 4The low-income concepts are not applied in the territories and in certain areas based on census subdivision type (such as Indian reserves). The existence of substantial in-kind transfers (such as subsidized housing and First Nations band housing) and sizeable barter economies or consumption from own production (such as product from hunting, farming or fishing) could make the interpretation of low-income statistics more difficult in these situations.Return to footnote4referrerFootnote 5Prevalence of low income - The proportion or percentage of units whose income falls below a specified low-income line.Return to footnote5referrerFootnote 6For more information on the Visible minority variable, including information on its classification, the questions from which it is derived, data quality and its comparability with other sources of data, please refer to the Visible Minority and Population Group Reference Guide, Census of Population, 2016.Return to footnote6referrerFootnote 7The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.'Return to footnote7referrerFootnote 8For example, 'East Indian,' 'Pakistani,' 'Sri Lankan,' etc.Return to footnote8referrerFootnote 9For example, 'Vietnamese,' 'Cambodian,' 'Laotian,' 'Thai,' etc.Return to footnote9referrerFootnote 10For example, 'Afghan,' 'Iranian,' etc.Return to footnote10referrerFootnote 11The abbreviation 'n.i.e.' means 'not included elsewhere.' Includes persons with a write-in response such as 'Guyanese,' 'West Indian,' 'Tibetan,' 'Polynesian,' 'Pacific Islander,' etc.Return to footnote11referrerFootnote 12Includes persons who gave more than one visible minority group by checking two or more mark-in responses, e.g., 'Black' and 'South Asian.'Return to footnote12referrerFootnote 13Includes persons who reported 'Yes' to the Aboriginal group question (Question 18), as well as persons who were not considered to be members of a visible minority group.

  10. Key Characteristics of Californians Age 60 and Over

    • data.ca.gov
    • data.chhs.ca.gov
    • +2more
    csv, pdf, zip
    Updated Aug 29, 2024
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    California Department of Aging (2024). Key Characteristics of Californians Age 60 and Over [Dataset]. https://data.ca.gov/dataset/key-characteristics-of-californians-age-60-and-over1
    Explore at:
    pdf, csv, zipAvailable download formats
    Dataset updated
    Aug 29, 2024
    Dataset authored and provided by
    California Department of Aging
    License

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

    Area covered
    California
    Description

    This data set presents key demographic characteristics of Californians Age 60 and Over. This data set can be viewed by county or Area Agency on Aging Planning and Services Area. Key sociodemographic variables include: lives alone, low income, minority/non-minority, non-English speaking, and living in a rural area. This data is based on multiple federal and state sources.

  11. g

    Key Characteristics of Californians Age 60 and Over | gimi9.com

    • gimi9.com
    + more versions
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    Key Characteristics of Californians Age 60 and Over | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_key-characteristics-of-californians-age-60-and-over
    Explore at:
    License

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

    Area covered
    California
    Description

    This data set presents key demographic characteristics of Californians Age 60 and Over. This data set can be viewed by county or Area Agency on Aging Planning and Services Area. Key sociodemographic variables include: lives alone, low income, minority/non-minority, non-English speaking, and living in a rural area. This data is based on multiple federal and state sources.

  12. a

    Low Income Cutoffs after tax Visible Minority age 18 to 24 total sex

    • zero-hunger-fredericton.hub.arcgis.com
    • communityprosperityhub.com
    • +2more
    Updated Jul 30, 2020
    + more versions
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    City of Fredericton - Ville de Fredericton (2020). Low Income Cutoffs after tax Visible Minority age 18 to 24 total sex [Dataset]. https://zero-hunger-fredericton.hub.arcgis.com/datasets/low-income-cutoffs-after-tax-visible-minority-age-18-to-24-total-sex
    Explore at:
    Dataset updated
    Jul 30, 2020
    Dataset authored and provided by
    City of Fredericton - Ville de Fredericton
    Description

    Low-income cut-offs, after tax (LICO-AT) - The Low-income cut-offs, after tax refers to an income threshold, defined using 1992 expenditure data, below which economic families or persons not in economic families would likely have devoted a larger share of their after-tax income than average to the necessities of food, shelter and clothing. More specifically, the thresholds represented income levels at which these families or persons were expected to spend 20 percentage points or more of their after-tax income than average on food, shelter and clothing. These thresholds have been adjusted to current dollars using the all-items Consumer Price Index (CPI).The LICO-AT has 35 cut-offs varying by seven family sizes and five different sizes of area of residence to account for economies of scale and potential differences in cost of living in communities of different sizes. These thresholds are presented in Table 4.3 Low-income cut-offs, after tax (LICO-AT - 1992 base) for economic families and persons not in economic families, 2015, Dictionary, Census of Population, 2016.When the after-tax income of an economic family member or a person not in an economic family falls below the threshold applicable to the person, the person is considered to be in low income according to LICO-AT. Since the LICO-AT threshold and family income are unique within each economic family, low-income status based on LICO-AT can also be reported for economic families.Return to footnote1referrerFootnote 2For more information on generation status variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Place of Birth, Generation Status, Citizenship and Immigration Reference Guide, Census of Population, 2016.Return to footnote2referrerFootnote 3Low-income status - The income situation of the statistical unit in relation to a specific low-income line in a reference year. Statistical units with income that is below the low-income line are considered to be in low income.For the 2016 Census, the reference period is the calendar year 2015 for all income variables.Return to footnote3referrerFootnote 4The low-income concepts are not applied in the territories and in certain areas based on census subdivision type (such as Indian reserves). The existence of substantial in-kind transfers (such as subsidized housing and First Nations band housing) and sizeable barter economies or consumption from own production (such as product from hunting, farming or fishing) could make the interpretation of low-income statistics more difficult in these situations.Return to footnote4referrerFootnote 5Prevalence of low income - The proportion or percentage of units whose income falls below a specified low-income line.Return to footnote5referrerFootnote 6For more information on the Visible minority variable, including information on its classification, the questions from which it is derived, data quality and its comparability with other sources of data, please refer to the Visible Minority and Population Group Reference Guide, Census of Population, 2016.Return to footnote6referrerFootnote 7The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.'Return to footnote7referrerFootnote 8For example, 'East Indian,' 'Pakistani,' 'Sri Lankan,' etc.Return to footnote8referrerFootnote 9For example, 'Vietnamese,' 'Cambodian,' 'Laotian,' 'Thai,' etc.Return to footnote9referrerFootnote 10For example, 'Afghan,' 'Iranian,' etc.Return to footnote10referrerFootnote 11The abbreviation 'n.i.e.' means 'not included elsewhere.' Includes persons with a write-in response such as 'Guyanese,' 'West Indian,' 'Tibetan,' 'Polynesian,' 'Pacific Islander,' etc.Return to footnote11referrerFootnote 12Includes persons who gave more than one visible minority group by checking two or more mark-in responses, e.g., 'Black' and 'South Asian.'Return to footnote12referrerFootnote 13Includes persons who reported 'Yes' to the Aboriginal group question (Question 18), as well as persons who were not considered to be members of a visible minority group.

  13. n

    Perceived barriers and motivators to physical activity in children from...

    • figshare.northumbria.ac.uk
    docx
    Updated Feb 21, 2025
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    JOYCE OMOJOR-OCHE; Florentina Hettinga; Gavin Tempest; Kandianos Sakalidis; Nicola McCullogh (2025). Perceived barriers and motivators to physical activity in children from ethnic minority group: A qualitative systematic review [Dataset]. http://doi.org/10.25398/rd.northumbria.28452347.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Northumbria University
    Authors
    JOYCE OMOJOR-OCHE; Florentina Hettinga; Gavin Tempest; Kandianos Sakalidis; Nicola McCullogh
    License

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

    Description

    The benefits of physical activity (PA) are well-known, as is the importance of being active from an early age. However, many children, especially children from ethnic minority groups, do not meet recommended PA guidelines, putting them at a higher risk of developing non-communicable diseases such as diabetes and cardiovascular disease in later life. This study aims to identify the perceived barriers and motivators to PA among children from ethnic minority groups living in the United Kingdom and countries with similar socio-economic characteristics, through a qualitative systematic literature review.  

  14. Youth not in education, employment or training by visible minority, selected...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Mar 26, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). Youth not in education, employment or training by visible minority, selected sociodemographic characteristics and the census year: Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts [Dataset]. http://doi.org/10.25318/9810064801-eng
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    Dataset updated
    Mar 26, 2024
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Youth not in education, employment or training by visible minority and selected characteristics (age group, gender, first official language spoken, immigrant and generation status), for the population aged 15 to 29 years old in private households in Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts.

  15. A

    ‘Older Americans Act Title IIIC-1 Nutrition Services - Congregate Meals...

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Older Americans Act Title IIIC-1 Nutrition Services - Congregate Meals Program and Participants’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-older-americans-act-title-iiic-1-nutrition-services-congregate-meals-program-and-participants-fc69/51f40ee2/?iid=002-785&v=presentation
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Older Americans Act Title IIIC-1 Nutrition Services - Congregate Meals Program and Participants’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/bb317904-339c-47c5-9e4c-6fca0d32915d on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    This data set represents the total number of Californians age 60 and over who were provided a meal from the Older Americans Act Title IIIC-1 Nutrition Services Program – Congregate Meals. Key sociodemographic variables include: age, high risk nutrition status, low income, lives alone and minority/non-minority.

    --- Original source retains full ownership of the source dataset ---

  16. u

    Youth not in education, employment or training by visible minority, selected...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Sep 13, 2024
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    (2024). Youth not in education, employment or training by visible minority, selected sociodemographic characteristics and the census year: Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/gov-canada-eca6cb2f-7c11-448e-beea-50339a285ff2
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    Dataset updated
    Sep 13, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Youth not in education, employment or training by visible minority and selected characteristics (age group, gender, first official language spoken, immigrant and generation status), for the population aged 15 to 29 years old in private households in Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts.

  17. f

    Adjusted odds ratios for the association between age-at-migration and...

    • figshare.com
    xls
    Updated Oct 2, 2024
    + more versions
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    Humma Andleeb; Bettina Moltrecht; Charlotte Gayer-Anderson; Celso Arango; Manuel Arrojo; Giuseppe D’Andrea; Miquel Bernardo; Christina Marta Del-Ben; Lieuwe de Haan; Laura Ferraro; Daniele La Barbera; Erika La Cascia; Pierre-Michel Llorca; Paolo Rossi Menezes; Diego Quattrone; Julio Sanjuán; Jean-Paul Selten; Andrei Szöke; Ilaria Tarricone; Els van der Ven; Eva Velthorst; Bart P. F. Rutten; Peter B. Jones; Craig Morgan; Hannah E. Jongsma; Julian Edbrooke-Childs; James B. Kirkbride (2024). Adjusted odds ratios for the association between age-at-migration and psychosis, following multiple imputation and stratified by ethnoracial identity. [Dataset]. http://doi.org/10.1371/journal.pmen.0000134.t003
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    xlsAvailable download formats
    Dataset updated
    Oct 2, 2024
    Dataset provided by
    PLOS Mental Health
    Authors
    Humma Andleeb; Bettina Moltrecht; Charlotte Gayer-Anderson; Celso Arango; Manuel Arrojo; Giuseppe D’Andrea; Miquel Bernardo; Christina Marta Del-Ben; Lieuwe de Haan; Laura Ferraro; Daniele La Barbera; Erika La Cascia; Pierre-Michel Llorca; Paolo Rossi Menezes; Diego Quattrone; Julio Sanjuán; Jean-Paul Selten; Andrei Szöke; Ilaria Tarricone; Els van der Ven; Eva Velthorst; Bart P. F. Rutten; Peter B. Jones; Craig Morgan; Hannah E. Jongsma; Julian Edbrooke-Childs; James B. Kirkbride
    License

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

    Description

    Adjusted odds ratios for the association between age-at-migration and psychosis, following multiple imputation and stratified by ethnoracial identity.

  18. u

    Canadian postsecondary graduates by visible minority group, educational...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
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    (2024). Canadian postsecondary graduates by visible minority group, educational qualification, field of study (STEM and BHASE (non-STEM) groupings), gender and age - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-e7d828e2-cd96-4921-b016-6dcb7bb51e3f
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    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Number of Canadian postsecondary graduates by visible minority group, educational qualification (Classification of programs and credentials - professional degree variant), field of study (Classification of Instructional Programs (CIP) Canada 2016 - STEM (science, technology, engineering and mathematics and computer sciences) and BHASE (business, humanities, health, arts, social science and education) groupings), gender and age group.

  19. u

    Canadian postsecondary enrolments by visible minority group, educational...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Sep 13, 2024
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    (2024). Canadian postsecondary enrolments by visible minority group, educational qualification, field of study (STEM and BHASE (non-STEM) groupings), gender and age - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/gov-canada-fc3c31eb-91fa-430a-a029-c8714ed6bf73
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    Dataset updated
    Sep 13, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Number of Canadian postsecondary enrolments by visible minority group, educational qualification (Classification of programs and credentials - professional degree variant), field of study (Classification of Instructional Programs (CIP) Canada 2016 - STEM (science, technology, engineering and mathematics and computer sciences) and BHASE (business, humanities, health, arts, social science and education) groupings), gender and age group.

  20. u

    Visible Minority (15), Employment Income Statistics (7), STEM and BHASE...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
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    (2024). Visible Minority (15), Employment Income Statistics (7), STEM and BHASE (non-STEM) Groupings, Major Field of Study - Classification of Instructional Programs (CIP) 2016 (16), Highest Certificate, Diploma or Degree (9), Immigrant Status (4A), Age (10) and Sex (3) for the Population Aged 15 Years and Over in Private Households of Canada, Provinces and Territories and Census Metropolitan Areas, 2016 Census - 25% Sample Data - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-5278d41c-bbee-47ce-971f-238df6515c68
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    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

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Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘2014 MEDIAN HOUSEHOLD INCOME of Minority Veterans and Non-Veterans by Age’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-2014-median-household-income-of-minority-veterans-and-non-veterans-by-age-d03f/latest

‘2014 MEDIAN HOUSEHOLD INCOME of Minority Veterans and Non-Veterans by Age’ analyzed by Analyst-2

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Dataset updated
Jan 26, 2022
Dataset authored and provided by
Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
License

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

Description

Analysis of ‘2014 MEDIAN HOUSEHOLD INCOME of Minority Veterans and Non-Veterans by Age’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/5154212d-fdad-49c3-a9dc-06a6795b7bf4 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Dataset listing median household income, for the year 2014, of Minority veterans as well as non-veterans, by age.

--- Original source retains full ownership of the source dataset ---

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