12 datasets found
  1. Characteristics of counties in the sample compared to all counties in the...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Andrew C. Stokes; Dielle J. Lundberg; Irma T. Elo; Katherine Hempstead; Jacob Bor; Samuel H. Preston (2023). Characteristics of counties in the sample compared to all counties in the USa. [Dataset]. http://doi.org/10.1371/journal.pmed.1003571.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Andrew C. Stokes; Dielle J. Lundberg; Irma T. Elo; Katherine Hempstead; Jacob Bor; Samuel H. Preston
    License

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

    Area covered
    United States
    Description

    Characteristics of counties in the sample compared to all counties in the USa.

  2. All-cause, COVID-19, and non-COVID-19 ASDR for ages 25+ by state and time...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Anneliese N. Luck; Andrew C. Stokes; Katherine Hempstead; Eugenio Paglino; Samuel H. Preston (2023). All-cause, COVID-19, and non-COVID-19 ASDR for ages 25+ by state and time period. [Dataset]. http://doi.org/10.1371/journal.pone.0281683.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Anneliese N. Luck; Andrew C. Stokes; Katherine Hempstead; Eugenio Paglino; Samuel H. Preston
    License

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

    Description

    All-cause, COVID-19, and non-COVID-19 ASDR for ages 25+ by state and time period.

  3. f

    Mean estimated losses from the economic crisis generated by COVID-19 by...

    • plos.figshare.com
    xls
    Updated Jul 24, 2024
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    Fabrício Silveira; Wanessa Miranda; Rômulo Paes de Sousa (2024). Mean estimated losses from the economic crisis generated by COVID-19 by 2030: Country income groups. [Dataset]. http://doi.org/10.1371/journal.pone.0305955.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Fabrício Silveira; Wanessa Miranda; Rômulo Paes de Sousa
    License

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

    Description

    Mean estimated losses from the economic crisis generated by COVID-19 by 2030: Country income groups.

  4. N

    Dataset for Preston, MD Census Bureau Income Distribution by Race

    • neilsberg.com
    Updated Jan 3, 2024
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    Neilsberg Research (2024). Dataset for Preston, MD Census Bureau Income Distribution by Race [Dataset]. https://www.neilsberg.com/research/datasets/80ef2c89-9fc2-11ee-b48f-3860777c1fe6/
    Explore at:
    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
    Maryland, Preston
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Preston median household income by race. The dataset can be utilized to understand the racial distribution of Preston income.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Preston, MD median household income breakdown by race betwen 2011 and 2021
    • Median Household Income by Racial Categories in Preston, MD (2021, 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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Preston median household income by race. You can refer the same here

  5. N

    Comprehensive Median Household Income and Distribution Dataset for Preston,...

    • neilsberg.com
    Updated Jan 11, 2024
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    Neilsberg Research (2024). Comprehensive Median Household Income and Distribution Dataset for Preston, MD: Analysis by Household Type, Size and Income Brackets [Dataset]. https://www.neilsberg.com/research/datasets/cdb7a98d-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    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
    Maryland, Preston
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the median household income in Preston. It can be utilized to understand the trend in median household income and to analyze the income distribution in Preston by household type, size, and across various income brackets.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Preston, MD Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
    • Median Household Income Variation by Family Size in Preston, MD: Comparative analysis across 7 household sizes
    • Income Distribution by Quintile: Mean Household Income in Preston, MD
    • Preston, MD households by income brackets: family, non-family, and total, 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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Preston median household income. You can refer the same here

  6. Data from: S1 Dataset -

    • plos.figshare.com
    zip
    Updated Jul 24, 2024
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    Fabrício Silveira; Wanessa Miranda; Rômulo Paes de Sousa (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0305955.s006
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Fabrício Silveira; Wanessa Miranda; Rômulo Paes de Sousa
    License

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

    Description

    This study delves into the global evolution of 43 Sustainable Development Goals (SDG) indicators, spanning 7 major health themes across 185 countries to evaluate the potential progress loss due to the COVID-19 pandemic. Both the cross-country and temporal variability of the dataset are employed to estimate an empirical model based on an extended version of the Preston curve, which links well-being to income levels and other key socioeconomic health determinants. The approach reveals significant global evolution trends operating in each SDG indicator assessed. We extrapolate the model yearly between 2020 and 2030 using the IMF’s pre-COVID-19 economic growth projections to show how each country in the dataset are expected to evolve in these health topics throughout the decade, assuming no other external shocks. The results of this baseline scenario are contrasted with a post-COVID-19 scenario, where most of the pandemic costs were already known. The study reveals that economic growth losses are, on average, estimated as 42% and 28% for low- and lower middle-income countries, and of 15% and 7% in high- and upper middle-income countries, respectively, according to the IMF’s projections. These disproportional figures are shown to exacerbate global health inequalities revealed by the curves. The expected progress loss in infectious diseases in low-income countries, for instance, is an average of 34%, against a mean of 6% in high-income countries. The theme of Infectious diseases is followed by injuries and violence; maternal and reproductive health; health systems coverage; and neonatal and infant health as those with worse performance. Low-income countries can expect an average progress loss of 16% across all health indicators assessed, whereas in high-income countries the estimated loss is as low as 3%. The disparity across countries is even more pronounced, with cases where the estimated progress loss is as high as nine times worse than the average loss of 8%. Conversely, countries with greater fiscal capacity are likely to fare much better under the circumstances, despite their worse death count, in many cases. Overall, these findings support the critical importance of integrating the fight against inequalities into the global development agendas.

  7. Qualitative data themes.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Stephanie Preston; Anthony Anderson; David J. Robertson; Mark P. Shephard; Narisong Huhe (2023). Qualitative data themes. [Dataset]. http://doi.org/10.1371/journal.pone.0246757.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Stephanie Preston; Anthony Anderson; David J. Robertson; Mark P. Shephard; Narisong Huhe
    License

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

    Description

    Qualitative data themes.

  8. N

    Dataset for Preston, MD Census Bureau Income Distribution by Gender

    • neilsberg.com
    Updated Jan 9, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for Preston, MD Census Bureau Income Distribution by Gender [Dataset]. https://www.neilsberg.com/research/datasets/b3cd438e-abcb-11ee-8b96-3860777c1fe6/
    Explore at:
    Dataset updated
    Jan 9, 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
    Maryland, Preston
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Preston household income by gender. The dataset can be utilized to understand the gender-based income distribution of Preston income.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Preston, MD annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
    • Preston, MD annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Preston income distribution by gender. You can refer the same here

  9. f

    Table_2_A “toolkit” for rural aged care? Global insights from a scoping...

    • figshare.com
    docx
    Updated Jun 7, 2023
    + more versions
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    Geraldine Vaughan; Dean B. Carson; Robyn Preston; William Mude; Anne-Marie Holt (2023). Table_2_A “toolkit” for rural aged care? Global insights from a scoping review.docx [Dataset]. http://doi.org/10.3389/fpos.2022.885636.s003
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    Frontiers
    Authors
    Geraldine Vaughan; Dean B. Carson; Robyn Preston; William Mude; Anne-Marie Holt
    License

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

    Description

    Community-based social models of care for seniors promote better outcomes in terms of quality of life, managing chronic illness and life expectancy than institutional care. However, small rural areas in high income countries face an ongoing crisis in coordinating care related to service mix, workforce and access. A scoping review was conducted to examine initiatives that promoted integrated models of multisectoral, collaborative aged care in rural settings which could help respond to this ongoing crisis and improve responses to emergencies such as the COVID-19 pandemic. A systematic database search, screening and a two-stage full text review was followed by a case study critical appraisal. A content analysis of extracted data from included papers was undertaken. Integrated care services, activities and facilities were identified that helped guide the review process and data synthesis. The three included case studies all emphasized key principles that crucially underpinned the models related to collaboration, cooperation and innovation. Challenges to effective care included fiscal and structural constraints, with underlying social determinant impacts. Based on these findings, we describe the genesis of a “toolkit” with components of integrated models of care. Effective care requires aging to be addressed as a complex, interconnected social issue rather than solely a health problem. It demands a series of coordinated system-based responses that consider the complex and heterogeneous contexts (and needs) of communities. Such models are underpinned by leadership and political will, working with a wide breadth of stakeholders across family, community and clinical domains in private and public sectors.

  10. N

    Comprehensive Median Household Income and Distribution Dataset for Lake...

    • neilsberg.com
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Comprehensive Median Household Income and Distribution Dataset for Lake Preston, SD: Analysis by Household Type, Size and Income Brackets [Dataset]. https://www.neilsberg.com/research/datasets/cda6c646-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    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
    South Dakota, Lake Preston
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the median household income in Lake Preston. It can be utilized to understand the trend in median household income and to analyze the income distribution in Lake Preston by household type, size, and across various income brackets.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Lake Preston, SD Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
    • Median Household Income Variation by Family Size in Lake Preston, SD: Comparative analysis across 7 household sizes
    • Income Distribution by Quintile: Mean Household Income in Lake Preston, SD
    • Lake Preston, SD households by income brackets: family, non-family, and total, 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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Lake Preston median household income. You can refer the same here

  11. N

    Comprehensive Income by Age Group Dataset: Longitudinal Analysis of Preston,...

    • neilsberg.com
    Updated Aug 7, 2024
    + more versions
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    Neilsberg Research (2024). Comprehensive Income by Age Group Dataset: Longitudinal Analysis of Preston, MD Household Incomes Across 4 Age Groups and 16 Income Brackets. Annual Editions Collection // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/2eeb7d71-aeee-11ee-aaca-3860777c1fe6/
    Explore at:
    Dataset updated
    Aug 7, 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
    Maryland, Preston
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Preston household income by age. The dataset can be utilized to understand the age-based income distribution of Preston income.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Preston, MD annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
    • Age-wise distribution of Preston, MD household incomes: Comparative analysis across 16 income brackets

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Preston income distribution by age. You can refer the same here

  12. N

    Dataset for Preston Township, Pennsylvania Census Bureau Income Distribution...

    • neilsberg.com
    Updated Jan 9, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for Preston Township, Pennsylvania Census Bureau Income Distribution by Gender [Dataset]. https://www.neilsberg.com/research/datasets/b3cd4842-abcb-11ee-8b96-3860777c1fe6/
    Explore at:
    Dataset updated
    Jan 9, 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
    Preston Township, Pennsylvania
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Preston township household income by gender. The dataset can be utilized to understand the gender-based income distribution of Preston township income.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Preston Township, Pennsylvania annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
    • Preston Township, Pennsylvania annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Preston township income distribution by gender. You can refer the same here

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

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Andrew C. Stokes; Dielle J. Lundberg; Irma T. Elo; Katherine Hempstead; Jacob Bor; Samuel H. Preston (2023). Characteristics of counties in the sample compared to all counties in the USa. [Dataset]. http://doi.org/10.1371/journal.pmed.1003571.t001
Organization logo

Characteristics of counties in the sample compared to all counties in the USa.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 5, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Andrew C. Stokes; Dielle J. Lundberg; Irma T. Elo; Katherine Hempstead; Jacob Bor; Samuel H. Preston
License

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

Area covered
United States
Description

Characteristics of counties in the sample compared to all counties in the USa.

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