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Proportions and rank correlations between neighborhood quartiles of...
- plos.figshare.com
xlsUpdated Oct 28, 2024
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EmailClick to copy linkLink copiedCiteRyan P. Strum; Brent McLeod; Andrew P. Costa; Shawn Mondoux (2024). Proportions and rank correlations between neighborhood quartiles of avoidable ED visits and socioeconomic status characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0311575.t003xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0311575.t003Dataset updatedOct 28, 2024Dataset provided byPLOS ONEAuthorsRyan P. Strum; Brent McLeod; Andrew P. Costa; Shawn MondouxLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionProportions and rank correlations between neighborhood quartiles of avoidable ED visits and socioeconomic status characteristics.
Table 3.1a Percentile points from 1 to 99 for total income before and after...
- gov.uk
Updated Mar 12, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteHM Revenue & Customs (2025). Table 3.1a Percentile points from 1 to 99 for total income before and after tax [Dataset]. https://www.gov.uk/government/statistics/percentile-points-from-1-to-99-for-total-income-before-and-after-taxDataset updatedMar 12, 2025AuthorsHM Revenue & CustomsDescriptionThe table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.
These statistics are classified as accredited official statistics.
You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.
Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.
Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.
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Precocity and career measures (mean, standard deviation [s.d.]) by NRC rank...
- plos.figshare.com
xlsUpdated Jun 15, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMichael J. Shott (2023). Precocity and career measures (mean, standard deviation [s.d.]) by NRC rank upper and lower halves, and descending quartiles. [Dataset]. http://doi.org/10.1371/journal.pone.0259038.t005xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0259038.t005Dataset updatedJun 15, 2023Dataset provided byPLOS ONEAuthorsMichael J. ShottLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionPrecocity and career measures (mean, standard deviation [s.d.]) by NRC rank upper and lower halves, and descending quartiles.
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Medians, inter-quartile ranges, and mean ranks for booster pack spending,...
- plos.figshare.com
xlsUpdated Jun 5, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDavid Zendle; Lukasz Walasek; Paul Cairns; Rachel Meyer; Aaron Drummond (2023). Medians, inter-quartile ranges, and mean ranks for booster pack spending, split by problem gambling severity and spending in physical vs. online stores. [Dataset]. http://doi.org/10.1371/journal.pone.0247855.t001xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0247855.t001Dataset updatedJun 5, 2023Dataset provided byPLOS ONEAuthorsDavid Zendle; Lukasz Walasek; Paul Cairns; Rachel Meyer; Aaron DrummondLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionMedians, inter-quartile ranges, and mean ranks for booster pack spending, split by problem gambling severity and spending in physical vs. online stores.
Characteristics of critically ill patients and controls, in the population...
- plos.figshare.com
xlsUpdated May 27, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMarine Jacquier; Annabelle Tavernier; Jean-Pierre Quenot; David Masson; Elea Ksiazek; Isabelle Fournel; Jacques Grober (2025). Characteristics of critically ill patients and controls, in the population according to quartiles of GLP-1. [Dataset]. http://doi.org/10.1371/journal.pone.0323709.t001xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0323709.t001Dataset updatedMay 27, 2025AuthorsMarine Jacquier; Annabelle Tavernier; Jean-Pierre Quenot; David Masson; Elea Ksiazek; Isabelle Fournel; Jacques GroberLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionCharacteristics of critically ill patients and controls, in the population according to quartiles of GLP-1.
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FacebookTwitterEmailProportions and rank correlations between neighborhood quartiles of avoidable ED visits and socioeconomic status characteristics.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Proportions and rank correlations between neighborhood quartiles of avoidable ED visits and socioeconomic status characteristics.