32 datasets found
  1. w

    Dataset of highest price and lowest price of stocks over time for DUO and...

    • workwithdata.com
    Updated May 6, 2025
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    Work With Data (2025). Dataset of highest price and lowest price of stocks over time for DUO and where date equals 2025-02-18 [Dataset]. https://www.workwithdata.com/datasets/stocks-daily?col=date%2Chighest_price%2Clowest_price%2Cstock&f=2&fcol0=stock&fcol1=date&fop0=%3D&fop1=%3D&fval0=DUO&fval1=2025-02-18
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about stocks per day. It has 1 row and is filtered where the stock is DUO and the date is the 18th of February 2025. It features 4 columns: stock, highest price, and lowest price.

  2. f

    Statistical results for the six cities, listed (left to right) from highest...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Richard W. Hill; Timothy E. Muhich; Murray M. Humphries (2023). Statistical results for the six cities, listed (left to right) from highest to lowest average annual temperature. [Dataset]. http://doi.org/10.1371/journal.pone.0076238.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Richard W. Hill; Timothy E. Muhich; Murray M. Humphries
    License

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

    Description

    TLC and TUC are listed only if defined by convergence and significance in multi-phase regression. RMRs and slopes are expressed per utility account (i.e., per separately billed house or other living unit) and per person on the assumption of 2.6 people per account [40].

  3. Monthly minimum wage rates in European countries in the first half of 2025

    • statista.com
    Updated Mar 11, 2025
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    Statista (2025). Monthly minimum wage rates in European countries in the first half of 2025 [Dataset]. https://www.statista.com/statistics/1450177/monthly-minimum-wage-rate-european-countries/
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    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Europe, European Union
    Description

    The country with the highest minimum wage rate in Europe during the first half of 2025 was Luxembourg, with a minimum wage of 2638 euros. Ireland, the Netherlands, and Germany were the countries with the next highest minimum wages, all above 2000 euros a month, while Albania, Bulgaria, and Montenegro had the lowest minimum wages in the same period.

  4. 2023 American Community Survey: B11001H | Household Type (Including Living...

    • data.census.gov
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    ACS, 2023 American Community Survey: B11001H | Household Type (Including Living Alone) (White Alone, Not Hispanic or Latino) (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT1Y2023.B11001H?q=White&t=Housing&g=
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2023
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

  5. U.S. minimum wage 2024, by state

    • statista.com
    Updated Apr 3, 2025
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    Statista (2025). U.S. minimum wage 2024, by state [Dataset]. https://www.statista.com/statistics/238997/minimum-wage-by-us-state/
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    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2025
    Area covered
    United States
    Description

    The federally mandated minimum wage in the United States is 7.25 U.S. dollars per hour, although the minimum wage varies from state to state. As of January 1, 2025, the District of Columbia had the highest minimum wage in the U.S., at 17.5 U.S. dollars per hour. This was followed by Washington, which had 16.66 U.S. dollars per hour as the state minimum wage. Minimum wage workers Minimum wage jobs are traditionally seen as “starter jobs” in the U.S., or first jobs for teenagers and young adults, and the number of people working minimum wage jobs has decreased from almost four million in 1979 to about 247,000 in 2020. However, the number of workers earning less than minimum wage in 2020 was significantly higher, at about 865,000. Minimum wage jobs Minimum wage jobs are primarily found in food preparation and serving occupations, as well as sales jobs (primarily in retail). Because the minimum wage has not kept up with inflation, nor has it been increased since 2009, it is becoming harder and harder live off of a minimum wage wage job, and for those workers to afford essential things like rent.

  6. f

    The 20 highest and 20 lowest ranking shared concepts between the proteins...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Herman H. H. B. M. van Haagen; Peter A. C. 't Hoen; Barend Mons; Erik A. Schultes (2023). The 20 highest and 20 lowest ranking shared concepts between the proteins CAPN3 and PARVB with the percent contribution of each concept to the overall match score. [Dataset]. http://doi.org/10.1371/journal.pone.0078665.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Herman H. H. B. M. van Haagen; Peter A. C. 't Hoen; Barend Mons; Erik A. Schultes
    License

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

    Description

    The contribution is calculated as a percentage of an individual product between 2 concepts divided by the inner product (which is the sum of all individual products). This inferred association from text-mining was subsequently validated as a physical protein-protein interaction in vitro[7].

  7. Indicator 14.b.1: Degree of application of a legal regulatory policy...

    • sdgs.amerigeoss.org
    • sdg.org
    Updated Aug 18, 2020
    + more versions
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    UN DESA Statistics Division (2020). Indicator 14.b.1: Degree of application of a legal regulatory policy institutional framework which recognizes and protects access rights for small-scale fisheries (level of implementation: 1 lowest to 5 highest) [Dataset]. https://sdgs.amerigeoss.org/datasets/undesa::indicator-14-b-1-degree-of-application-of-a-legal-regulatory-policy-institutional-framework-which-recognizes-and-protects-access-rights-for-small-scale-fisheries-level-of-implementation-1-lowest-to-5-highest-4/about
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    Dataset updated
    Aug 18, 2020
    Dataset provided by
    United Nations Department of Economic and Social Affairshttps://www.un.org/en/desa
    Authors
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Degree of application of a legal regulatory policy institutional framework which recognizes and protects access rights for small-scale fisheries (level of implementation: 1 lowest to 5 highest)Series Code: ER_REG_SSFRARRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 14.b.1: Degree of application of a legal/regulatory/ policy/institutional framework which recognizes and protects access rights for small-scale fisheriesTarget 14.b: Provide access for small-scale artisanal fishers to marine resources and marketsGoal 14: Conserve and sustainably use the oceans, seas and marine resources for sustainable developmentFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  8. w

    Dataset of highest price and lowest price of stocks over time for LHOG.F and...

    • workwithdata.com
    Updated May 6, 2025
    + more versions
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    Work With Data (2025). Dataset of highest price and lowest price of stocks over time for LHOG.F and where date equals 2025-04-25 [Dataset]. https://www.workwithdata.com/datasets/stocks-daily?col=date%2Chighest_price%2Clowest_price%2Cstock&f=2&fcol0=stock&fcol1=date&fop0=%3D&fop1=%3D&fval0=LHOG.F&fval1=2025-04-25
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about stocks per day. It has 1 row and is filtered where the stock is LHOG.F and the date is the 25th of April 2025. It features 4 columns: stock, highest price, and lowest price.

  9. 2022 American Community Survey: B01001 | Sex by Age (ACS 1-Year Estimates...

    • data.census.gov
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    ACS, 2022 American Community Survey: B01001 | Sex by Age (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT1Y2022.B01001?q=B01001&g=040XX00US05
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2022
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2022 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..The 2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

  10. Breakdown of unemployment rates in G20 countries 2025

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Breakdown of unemployment rates in G20 countries 2025 [Dataset]. https://www.statista.com/statistics/722965/g20-unemployment-rates/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2025
    Area covered
    Worldwide
    Description

    As of March 2025, South Africa had the highest unemployment rate among the 19* countries that are members of the G20. The unemployment rate in South Africa stood at **** percent that year. The country has recently been plagued by an economic downturn, including energy shortages and high unemployment levels. On the other hand, Japan had the lowest unemployment rate at just *** percent. Economic inequality in South Africa Not only does South Africa top the G20 in overall unemployment, but it also has a significant level of youth unemployment, as nearly half of the young population is unemployed. Thirty years after the end of Apartheid, South Africa is also still one of the most unequal countries in the world, with a Gini score of ****. The prominence of inequality in the country makes escaping unemployment and underemployment difficult. Japanese economic slowdown While Japan had the lowest unemployment rate out of all G20 nations, as well as the lowest youth unemployment rate out of the G20 nations, Japan’s economy is still facing many challenges. With an aging population, the total Japanese population is facing a rapid decline, meaning that it will struggle to have enough workers participating in the labor market. Despite this, Japan maintains strict immigration policies, limiting the chances for foreign workers to move to Japan. Moreover, Japan has the second lowest fertility rate out of the G7 nations and one of the lowest fertility rates globally, adding another challenge in addressing population shrinkage.

  11. 2023 American Community Survey: B19202 | Median Nonfamily Household Income...

    • data.census.gov
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    ACS, 2023 American Community Survey: B19202 | Median Nonfamily Household Income in the Past 12 Months (in 2023 Inflation-Adjusted Dollars) (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT1Y2023.B19202?q=B19202&g=500XX00US4829
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2023
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

  12. 2021 American Community Survey: B20005F | SEX BY WORK EXPERIENCE IN THE PAST...

    • data.census.gov
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    ACS, 2021 American Community Survey: B20005F | SEX BY WORK EXPERIENCE IN THE PAST 12 MONTHS BY EARNINGS IN THE PAST 12 MONTHS (IN 2021 INFLATION-ADJUSTED DOLLARS) FOR THE POPULATION 16 YEARS AND OVER (SOME OTHER RACE ALONE) (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT1Y2021.B20005F?q=B20005F&g=500XX00US4809
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2021
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Beginning in data year 2019, respondents to the Weeks Worked question provided an integer value for the number of weeks worked. For data years 2008 through 2018, respondents selected a category corresponding to the number of weeks worked..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

  13. U.S. colleges with highest 1 percent to low income student ratio, class of...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). U.S. colleges with highest 1 percent to low income student ratio, class of 2013 [Dataset]. https://www.statista.com/statistics/686293/colleges-with-most-high-income-students-as-ratio-to-low-income/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the ten colleges in the United States that had the highest ratio of students in, or came from families in, the top 1 percent of income to students from the bottom ** percent of incomes. The statistic is based on the 1991 cohort and therefore is approximate to the class of 2013. In the 1991 cohort, Washington University in St. Louis had **** students from the * percent for every student from the bottom ** percent.

  14. f

    Mean initial individual quality scores assessed by two blinded evaluators on...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Erik Cobo; Albert Selva-O'Callagham; Josep-Maria Ribera; Francesc Cardellach; Ruth Dominguez; Miquel Vilardell (2023). Mean initial individual quality scores assessed by two blinded evaluators on the Goodman scale (lowest = 1, highest = 5). Number of manuscripts is specified when that item did not apply to all manuscripts. Standard deviations ranged from 0.9 to 1.5. [Dataset]. http://doi.org/10.1371/journal.pone.0000332.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Erik Cobo; Albert Selva-O'Callagham; Josep-Maria Ribera; Francesc Cardellach; Ruth Dominguez; Miquel Vilardell
    License

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

    Description

    Mean initial individual quality scores assessed by two blinded evaluators on the Goodman scale (lowest = 1, highest = 5). Number of manuscripts is specified when that item did not apply to all manuscripts. Standard deviations ranged from 0.9 to 1.5.

  15. Countries with the lowest fertility rates 2024

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). Countries with the lowest fertility rates 2024 [Dataset]. https://www.statista.com/statistics/268083/countries-with-the-lowest-fertility-rates/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    The statistic shows the 20 countries with the lowest fertility rates in 2024. All figures are estimates. In 2024, the fertility rate in Taiwan was estimated to be at 1.11 children per woman, making it the lowest fertility rate worldwide. Fertility rate The fertility rate is the average number of children born per woman of child-bearing age in a country. Usually, a woman aged between 15 and 45 is considered to be in her child-bearing years. The fertility rate of a country provides an insight into its economic state, as well as the level of health and education of its population. Developing countries usually have a higher fertility rate due to lack of access to birth control and contraception, and to women usually foregoing a higher education, or even any education at all, in favor of taking care of housework. Many families in poorer countries also need their children to help provide for the family by starting to work early and/or as caretakers for their parents in old age. In developed countries, fertility rates and birth rates are usually much lower, as birth control is easier to obtain and women often choose a career before becoming a mother. Additionally, if the number of women of child-bearing age declines, so does the fertility rate of a country. As can be seen above, countries like Hong Kong are a good example for women leaving the patriarchal structures and focusing on their own career instead of becoming a mother at a young age, causing a decline of the country’s fertility rate. A look at the fertility rate per woman worldwide by income group also shows that women with a low income tend to have more children than those with a high income. The United States are neither among the countries with the lowest, nor among those with the highest fertility rate, by the way. At 2.08 children per woman, the fertility rate in the US has been continuously slightly below the global average of about 2.4 children per woman over the last decade.

  16. Highest-grossing film franchises and series 2025

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Highest-grossing film franchises and series 2025 [Dataset]. https://www.statista.com/statistics/317408/highest-grossing-film-franchises-series/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of January 2025, the Marvel Cinematic Universe series was the highest-grossing film franchise with total worldwide box office revenue of ***** billion U.S. dollars. "Avengers: Endgame" (2019) was Marvel's highest-grossing movie with *** billion dollars in global revenue. The "Star Wars" and "Harry Potter" series followed with worldwide box office revenues of about ***** billion and **** billion dollars, respectively. May the profit be with you The Star Wars series started in the late 1970s and has captured the attention of nerds and moviegoers in general ever since. Released just before the COVID-19 outbreak, the latest film of the saga, "The Rise of Skywalker," recorded a global box office revenue of over *** billion dollars. This is almost **** times more than the production of the movie had cost. The success of the franchise goes beyond the realm of cinema. The video game Star Wars: Squadrons, for instance, sold over *** million digital copies worldwide in the first month of its release in October 2020. Fantastic box offices: where to find them again? While Star Wars has a history of peaks and valleys, the Harry Potter franchise seems to be jinxed since the launching of its prequel series, Fantastic Beasts. The box office revenue of "Fantastic Beasts: The Crimes of Grindelwald" (2018) stood below *** million dollars worldwide. This is the lowest revenue generated by a movie from the Harry Potter universe since the brand debuted on the big screen in 2001. The amount is also nearly ** percent below the global box office of its predecessor, "Fantastic Beasts and Where to Find Them" (2016).

  17. G

    Theft rate by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 17, 2015
    + more versions
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    Globalen LLC (2015). Theft rate by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/theft/
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    csv, excel, xmlAvailable download formats
    Dataset updated
    Jan 17, 2015
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2003 - Dec 31, 2016
    Area covered
    World
    Description

    The average for 2016 based on 74 countries was 783 thefts per 100,000 people. The highest value was in Denmark: 3949 thefts per 100,000 people and the lowest value was in Senegal: 1 thefts per 100,000 people. The indicator is available from 2003 to 2016. Below is a chart for all countries where data are available.

  18. f

    The ten models with the highest R2 and lowest AICc arranged by AIC weights...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Mark G. Anderson; Charles E. Ferree (2023). The ten models with the highest R2 and lowest AICc arranged by AIC weights (AICw). [Dataset]. http://doi.org/10.1371/journal.pone.0011554.t002
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mark G. Anderson; Charles E. Ferree
    License

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

    Description

    The unadjusted model included area as a possible variable. In the residual model, species diversity explained by area was first factored out of the model.

  19. w

    Dataset of highest price and lowest price of stocks over time for CLAR and...

    • workwithdata.com
    Updated May 6, 2025
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    Work With Data (2025). Dataset of highest price and lowest price of stocks over time for CLAR and where date equals 2025-02-18 [Dataset]. https://www.workwithdata.com/datasets/stocks-daily?col=date%2Chighest_price%2Clowest_price%2Cstock&f=2&fcol0=stock&fcol1=date&fop0=%3D&fop1=%3D&fval0=CLAR&fval1=2025-02-18
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about stocks per day. It has 1 row and is filtered where the stock is CLAR and the date is the 18th of February 2025. It features 4 columns: stock, highest price, and lowest price.

  20. Population density in the U.S. 2023, by state

    • statista.com
    Updated Dec 3, 2024
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    Statista (2024). Population density in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/183588/population-density-in-the-federal-states-of-the-us/
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    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

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Work With Data (2025). Dataset of highest price and lowest price of stocks over time for DUO and where date equals 2025-02-18 [Dataset]. https://www.workwithdata.com/datasets/stocks-daily?col=date%2Chighest_price%2Clowest_price%2Cstock&f=2&fcol0=stock&fcol1=date&fop0=%3D&fop1=%3D&fval0=DUO&fval1=2025-02-18

Dataset of highest price and lowest price of stocks over time for DUO and where date equals 2025-02-18

Explore at:
Dataset updated
May 6, 2025
Dataset authored and provided by
Work With Data
License

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

Description

This dataset is about stocks per day. It has 1 row and is filtered where the stock is DUO and the date is the 18th of February 2025. It features 4 columns: stock, highest price, and lowest price.

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