Title: Dataset for "Non-linear Relationships between COVID-19 and Non-COVID-19 Mortality by Vaccination Status within Age Groups" Author: Ir. A.J. Oostenbrink, Independent Researcher (ORCID: 0009-0003-3495-9519) Description: This dataset supports the study analyzing non-linear relationships between COVID-19 and non-COVID-19 mortality by vaccination status across age groups, using UK Office for National Statistics (ONS) data from January 2021 to May 2023. It includes age-standardized mortality rates for five vaccination statuses (unvaccinated, one dose, two doses, three doses, four or more doses) across six age groups (18–39, 40–49, 50–59, 60–69, 70–79, 80–89, 90+ years). The dataset covers monthly data on COVID-19 mortality, non-COVID-19 mortality, and all-cause mortality, enabling the examination of selection bias and concentration effects. Key variables include relative risks (RRcov, RRnoncov), vaccine effectiveness (VE) curves, and concentration factors, modeled using a power function (RRcov ∝ (RRnoncov)a). Data were sourced from ONS publications (2022, 2023) and processed in Microsoft Excel. The dataset includes appendices with person-years, mortality rates, and VE visualizations, supporting non-linear modeling and bias correction analyses. Raw data are available upon request, adhering to UK data protection regulations.Keywords: COVID-19, vaccine effectiveness, mortality rates, selection bias, non-linear modeling, ONS dataLicense: [CC BY 4.0]Files: Aggregated mortality data (Excel), Appendices I–VI (visualizations and tables)

's Age-adjusted death rate (Male) is 491.9 which is the 22nd highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Saga and Yamanashi(Yamanashi) and Fukui(Fukui)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

Age-standardized incidence rate of T2DM from 2020 to 2030.

The age-standardized death rate and temporal trends of T2DM in 1990 and 2019.

Excel workbook of age-standardised baseline mortality rates (BMRs) for each US county by race and ethnicity used for calculating racial-ethnic disparities in health burdens for air pollution from the major oil and gas lifecycle stages in the United States.The workbook includes 3 sheets:BMRs for all-cause mortality in 25+ years population for calculating premature mortality from exposure to fine particular matter (PM2.5).BMRs for all-cause mortality in 65+ years population for calculating premature mortality from exposure to nitrogen dioxide (NO2), andBMRs for all-ages chronic obstructive pulmonary disease (COPD) mortality from exposure to ozone air pollution.Raw BMRs from the US US Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research (CDC WONDER) are processed to gap fill data not reported at the county level. This data gap filling is detailed in Vohra et al. (2025) Science Advances, "The health burden and racial-ethnic disparities of air pollution from the major oil and gas lifecycle stages in the United States", doi:10.1126/sciadv.adu2241.

The age-standardized incidence rate and temporal trends of T2DM in 1990 and 2019.