100+ datasets found
  1. d

    50 States Comparison

    • catalog.data.gov
    • data.iowa.gov
    • +1more
    Updated Sep 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.iowa.gov (2023). 50 States Comparison [Dataset]. https://catalog.data.gov/dataset/50-states-comparison
    Explore at:
    Dataset updated
    Sep 1, 2023
    Dataset provided by
    data.iowa.gov
    Area covered
    United States
    Description

    This online application gives manufacturers the ability to compare Iowa to other states on a number of different topics including: business climate, education, operating costs, quality of life and workforce.

  2. Most well-known price comparison portals in the United States 2023

    • statista.com
    Updated Apr 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Most well-known price comparison portals in the United States 2023 [Dataset]. https://www.statista.com/statistics/1341380/most-well-known-price-comparison-portals-in-the-united-states/
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Price comparison portals can be useful in various ways. While they allow buyers to find the best possible price available for a product, they can also help sellers to make sure that the pricing of their products remain competitive. Sellers also can use these portals to market their products in front of a very targeted audience.

    In the U.S., Google Shopping is the most well-known price comparison portal with a brand awareness of 59 percent. Second on this list are Yahoo Shopping and Bing Shop, that are recognized by almost half of the internet respondents. Shopzilla comes in fourth, followed by Shopping.com and PriceGrabber.

    For this study, brand awareness was surveyed employing the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.

    Interested in more detailed results covering all brands of this ranking and many more? Explore GCS Brand Profiles. These statistics show results of the Brand KPI survey.

  3. m

    Comparison of statistical methods used to meta-analyse results from...

    • bridges.monash.edu
    • researchdata.edu.au
    zip
    Updated Dec 20, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Elizabeth Korevaar; Simon Turner; Andrew Forbes; AMALIA KARAHALIOS; Monica Taljaard; Joanne McKenzie (2023). Comparison of statistical methods used to meta-analyse results from interrupted time series studies: an empirical study - Code and data [Dataset]. http://doi.org/10.26180/21280791.v2
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Monash University
    Authors
    Elizabeth Korevaar; Simon Turner; Andrew Forbes; AMALIA KARAHALIOS; Monica Taljaard; Joanne McKenzie
    License

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

    Description

    ITS data collected as part of Comparison of statistical methods used to meta-analyse results from interrupted time series studies: an empirical study. Code used to analyse the ITS studies.

  4. f

    DataSheet_5_To have value, comparisons of high-throughput phenotyping...

    • figshare.com
    docx
    Updated Jan 19, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Justin M. McGrath; Matthew H. Siebers; Peng Fu; Stephen P. Long; Carl J. Bernacchi (2024). DataSheet_5_To have value, comparisons of high-throughput phenotyping methods need statistical tests of bias and variance.docx [Dataset]. http://doi.org/10.3389/fpls.2023.1325221.s005
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jan 19, 2024
    Dataset provided by
    Frontiers
    Authors
    Justin M. McGrath; Matthew H. Siebers; Peng Fu; Stephen P. Long; Carl J. Bernacchi
    License

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

    Description

    The gap between genomics and phenomics is narrowing. The rate at which it is narrowing, however, is being slowed by improper statistical comparison of methods. Quantification using Pearson’s correlation coefficient (r) is commonly used to assess method quality, but it is an often misleading statistic for this purpose as it is unable to provide information about the relative quality of two methods. Using r can both erroneously discount methods that are inherently more precise and validate methods that are less accurate. These errors occur because of logical flaws inherent in the use of r when comparing methods, not as a problem of limited sample size or the unavoidable possibility of a type I error. A popular alternative to using r is to measure the limits of agreement (LOA). However both r and LOA fail to identify which instrument is more or less variable than the other and can lead to incorrect conclusions about method quality. An alternative approach, comparing variances of methods, requires repeated measurements of the same subject, but avoids incorrect conclusions. Variance comparison is arguably the most important component of method validation and, thus, when repeated measurements are possible, variance comparison provides considerable value to these studies. Statistical tests to compare variances presented here are well established, easy to interpret and ubiquitously available. The widespread use of r has potentially led to numerous incorrect conclusions about method quality, hampering development, and the approach described here would be useful to advance high throughput phenotyping methods but can also extend into any branch of science. The adoption of the statistical techniques outlined in this paper will help speed the adoption of new high throughput phenotyping techniques by indicating when one should reject a new method, outright replace an old method or conditionally use a new method.

  5. Threads and Twitter comparison 2023

    • statista.com
    Updated Jan 22, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Threads and Twitter comparison 2023 [Dataset]. https://www.statista.com/statistics/1398734/comparison-features-threads-twitter/
    Explore at:
    Dataset updated
    Jan 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2023
    Area covered
    Worldwide
    Description

    On 5th July 2023, Meta Platforms released Threads, a text-focused social media platform. Joining Meta's Family of Apps, Threads focuses on real-time conversations, giving users a similar experience to Twitter. Threads offers users 500 characters per post, in comparison to Twitter's 280 characters. However, for Twitter Blue subscribers, posts can be substantially longer. Threads users can also take advantage of longer video posts, and free verification through their Instagram accounts.

    A bolt out of the (Twitter) blue

    As the tech elite attempt to fill the Twitter-shaped hole that social media users are feeling since the platform’s recent changes, the company is offering users the chance to verify themselves on the platform. The famous blue check mark, once reserved for journalists, celebrities, and public figures, can be purchased for a monthly fee. As of April 2023, there 640 thousand people were subscribing to Twitter Blue, up from 290 thousand in February 2023.

    Threads is off to a strong start

    Creating a profile on Threads is easy for Meta product users who already have an Instagram account as the new and free-to-use platform is integrated into the widely used app. With around two billion monthly active users on Instagram, it is no surprise that Threads gained 30 million sign-ups within 24 hours of being launched. Although signing up for Threads is easy, quitting the platform is not so straightforward, as deleting a Threads account results in the deactivation of the linked Instagram account.

  6. m

    A Test to Compare Interval Time Series - Supplementary Material

    • data.mendeley.com
    Updated Jan 11, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Elizabeth Ann Maharaj (2021). A Test to Compare Interval Time Series - Supplementary Material [Dataset]. http://doi.org/10.17632/f35nry7hjz.1
    Explore at:
    Dataset updated
    Jan 11, 2021
    Authors
    Elizabeth Ann Maharaj
    License

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

    Description

    Supplementary material for the manuscript "A Test to Compare Interval Time Series". This includes figures and tables referred to in the manuscript as well as details of scripts and data files used for the simulation studies and the application. All scripts are in MATLAB (.m) format and data files are is MATLAB (.mat) and in EXCEL (. xlsx) formats.

  7. Data from: Nursing Home Compare

    • catalog.data.gov
    • data.va.gov
    • +2more
    Updated May 1, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Veterans Affairs (2021). Nursing Home Compare [Dataset]. https://catalog.data.gov/dataset/nursing-home-compare-ed7b0
    Explore at:
    Dataset updated
    May 1, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    Nursing Home Compare has detailed information about every Medicare and Medicaid nursing home in the country. A nursing home is a place for people who can’t be cared for at home and need 24-hour nursing care. These are the official datasets used on the Medicare.gov Nursing Home Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at every Medicare and Medicaid-certified nursing home in the country, including over 15,000 nationwide.

  8. d

    Data for comparison of climate envelope models developed using...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2024). Data for comparison of climate envelope models developed using expert-selected variables versus statistical selection [Dataset]. https://catalog.data.gov/dataset/data-for-comparison-of-climate-envelope-models-developed-using-expert-selected-variables-v
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    The data we used for this study include species occurrence data (n=15 species), climate data and predictions, an expert opinion questionnaire, and species masks that represented the model domain for each species. For this data release, we include the results of the expert opinion questionnaire and the species model domains (or masks). We developed an expert opinion questionnaire to gather information regarding expert opinion regarding the importance of climate variables in determining a species geographic range. The species masks, or model domains, were defined separately for each species using a variation of the “target-group” approach (Phillips et al. 2009), where the domain was determine using convex polygons including occurrence data for at least three phylogenetically related and similar species (Watling et al. 2012). The species occurrence data, climate data, and climate predictions are freely available online, and therefore not included in this data release. The species occurrence data were obtained primarily from the online database Global Biodiversity Information Facility (GBIF; http://www.gbif.org/), and from scientific literature (Watling et al. 2011). Climate data were obtained from the WorldClim database (Hijmans et al. 2005) and climate predictions were obtained from the Center for Ocean-Atmosphere Prediction Studies (COAPS) at Florida State University (https://floridaclimateinstitute.org/resources/data-sets/regional-downscaling). See metadata for references.

  9. i

    Title: Comparing Transaction Logs to ILL - Raw Data Open Access Deposited

    • datacore.iu.edu
    Updated May 8, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cohen, Rachael; Michaels, Sherri (2018). Title: Comparing Transaction Logs to ILL - Raw Data Open Access Deposited [Dataset]. https://datacore.iu.edu/concern/data_sets/z603qx40z?locale=en
    Explore at:
    Dataset updated
    May 8, 2018
    Dataset provided by
    IU Scholarworks
    Authors
    Cohen, Rachael; Michaels, Sherri
    License

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

    Description

    Dataset for "Comparing Transaction Logs to ILL requests to Determine the Persistence of Library Patrons In Obtaining Materials" article. Excel file contains all data in four worksheets Zip file contains four csv files, one for each worksheet: - Comparing Transaction Logs to ILL - 2016 ILL Raw ...Data.csv - Comparing Transaction Logs to ILL - 2015 ILL Raw Data.csv - Comparing Transaction Logs to ILL - 2016 Zero Search Raw Data.csv - Comparing Transaction Logs to ILL - 2015 Zero Search Raw Data.csv [more]

  10. Comparative summary of telephone statistics

    • ouvert.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2023). Comparative summary of telephone statistics [Dataset]. https://ouvert.canada.ca/data/dataset/5a54d4f6-8c52-4870-8c45-465ebc3d71f1
    Explore at:
    csv, xml, htmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    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

    Description

    Comparative summary of telephone statistics, by operating details for Canada from 1976 to 1996. (Terminated)

  11. Price comparison habits before buying online worldwide 2022

    • statista.com
    Updated Jul 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Price comparison habits before buying online worldwide 2022 [Dataset]. https://www.statista.com/statistics/1239795/price-comparison-online-shopping-habits/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2022
    Area covered
    Worldwide
    Description

    Price checking is a priority for at least ***** in *** online shoppers, according to an *********** survey conducted in the United States, United Kingdom, France, Germany, and Australia. Up to ** percent of respondents said they usually compared prices on a few sites before making an online purchase. On the other hand, a total of ** percent of respondents did not compare prices prior to buying online.

  12. J

    Replication Data - Comparison of Gross Value Added and Production

    • journaldata.zbw.eu
    pdf, xls
    Updated Mar 3, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gabe de Bondt; Stanimira Vasileva Kosekova; Gabe de Bondt; Stanimira Vasileva Kosekova (2021). Replication Data - Comparison of Gross Value Added and Production [Dataset]. http://doi.org/10.15456/jbnst.2018299.083130
    Explore at:
    xls, pdfAvailable download formats
    Dataset updated
    Mar 3, 2021
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Gabe de Bondt; Stanimira Vasileva Kosekova; Gabe de Bondt; Stanimira Vasileva Kosekova
    License

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

    Description

    Euro Area Growth Signals from Industrial Production: Warnings from a Comparison of Gross Value Added and Production

    This study compares industrial production and gross value added in volume terms in the euro area and euro area countries, because real GDP growth
    signals from industrial production growth might be misleading and earlier released industrial production growth is not one-to-one translated into industrial value added growth. This is an important issue for analysts and policy makers, because industrial production is a standard element in tools for nowcasting real GDP in real time. It also raises the question about the factors explaining these differences. Differences in terms of (changes in) quarterly growth between production and gross value added include sign reversals and can last for consecutive quarters. Persistent level differences might also exist. The explanatory factors for these differences are the treatment of prices, seasonality and coverage. Data limitations prevent a detailed analysis of the price factor, but the other two factors are more closely evaluated. It turns out that the relative importance of these factors varies over time and thus is difficult to assess ex ante for a specific quarter. A remedy is that statisticians further harmonize national accounts and short-term statistics as well as national practices for seasonal adjustment.

  13. p

    Data from: Mosier

    • publicschoolreview.com
    json, xml
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review, Mosier [Dataset]. https://www.publicschoolreview.com/mosier-profile
    Explore at:
    json, xmlAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 1991 - Dec 31, 2025
    Area covered
    Mosier
    Description

    Historical Dataset of Mosier is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1991-2023),Total Classroom Teachers Trends Over Years (2005-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2005-2023),Asian Student Percentage Comparison Over Years (1992-2023),Hispanic Student Percentage Comparison Over Years (1993-2023),Black Student Percentage Comparison Over Years (1992-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2009-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (2000-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022)

  14. NADAC Comparison

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated Jul 2, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Medicare & Medicaid Services (2025). NADAC Comparison [Dataset]. https://catalog.data.gov/dataset/nadac-comparison-c0aeb
    Explore at:
    Dataset updated
    Jul 2, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The NADAC Weekly Comparison identifies the drug products with current NADAC rates that are replaced with new NADAC rates. Other changes (e.g. NDC additions and terminations) to the NADAC file are not reflected in this comparison. Note: Effective Date was not recorded in the dataset until 6/7/2017

  15. p

    Data from: Kittredge

    • publicschoolreview.com
    json, xml
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review, Kittredge [Dataset]. https://www.publicschoolreview.com/kittredge-profile/01845
    Explore at:
    json, xmlAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 1991 - Dec 31, 2025
    Description

    Historical Dataset of Kittredge is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1991-2023),Total Classroom Teachers Trends Over Years (2005-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2005-2023),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1993-2023),Black Student Percentage Comparison Over Years (1995-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2011-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (2000-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022)

  16. ACS 1-Year Comparison Profiles

    • datasets.ai
    • catalog.data.gov
    2
    Updated Sep 19, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Commerce (2024). ACS 1-Year Comparison Profiles [Dataset]. https://datasets.ai/datasets/acs-1-year-comparison-profiles-ec468
    Explore at:
    2Available download formats
    Dataset updated
    Sep 19, 2024
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    Authors
    Department of Commerce
    Description

    The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. Much of the ACS data provided on the Census Bureau's Web site are available separately by age group, race, Hispanic origin, and sex. Summary files, Subject tables, Data profiles, and Comparison profiles are available for the nation, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. Comparison profiles are similar to data profiles but also include comparisons with past-year data. The current year data are compared with each of the last four years of data and include statistical significance testing. There are over 1,000 variables in this dataset.

  17. 00_multilevel_intonly_model_example_data.Rdata

    • figshare.com
    application/gzip
    Updated Nov 26, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Martin Hecht (2021). 00_multilevel_intonly_model_example_data.Rdata [Dataset]. http://doi.org/10.6084/m9.figshare.17086769.v1
    Explore at:
    application/gzipAvailable download formats
    Dataset updated
    Nov 26, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Martin Hecht
    License

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

    Description

    Supplementary material to article:Hecht, M., Weirich, S., & Zitzmann, S. (2021). Comparing the MCMC efficiency of JAGS and Stan for the multi-level intercept-only model in the covariance- and mean-based and classic parametrization. Psych.

  18. p

    Data from: New Horizons For Learning

    • publicschoolreview.com
    json, xml
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review, New Horizons For Learning [Dataset]. https://www.publicschoolreview.com/new-horizons-for-learning-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 2007 - Dec 31, 2025
    Description

    Historical Dataset of New Horizons For Learning is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2007-2023),Total Classroom Teachers Trends Over Years (2009-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2009-2023),American Indian Student Percentage Comparison Over Years (2007-2023),Asian Student Percentage Comparison Over Years (2011-2023),Hispanic Student Percentage Comparison Over Years (2011-2022),Black Student Percentage Comparison Over Years (2007-2023),White Student Percentage Comparison Over Years (2007-2023),Two or More Races Student Percentage Comparison Over Years (2012-2023),Diversity Score Comparison Over Years (2007-2023),Free Lunch Eligibility Comparison Over Years (2007-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2011-2023),Reading and Language Arts Proficiency Comparison Over Years (2012-2018),Math Proficiency Comparison Over Years (2012-2019),Overall School Rank Trends Over Years (2012-2018),Graduation Rate Comparison Over Years (2012-2022)

  19. p

    Data from: School 21

    • publicschoolreview.com
    json, xml
    Updated Jan 26, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review (2025). School 21 [Dataset]. https://www.publicschoolreview.com/school-21-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset updated
    Jan 26, 2025
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 1988 - Dec 31, 2025
    Description

    Historical Dataset of School 21 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1990-2023),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),Asian Student Percentage Comparison Over Years (2007-2020),Hispanic Student Percentage Comparison Over Years (1992-2023),Black Student Percentage Comparison Over Years (1992-2023),White Student Percentage Comparison Over Years (1988-2021),Diversity Score Comparison Over Years (1992-2023),Free Lunch Eligibility Comparison Over Years (1991-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2020),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022)

  20. Reasons to use price comparison websites in Italy 2023

    • statista.com
    Updated Sep 14, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2023). Reasons to use price comparison websites in Italy 2023 [Dataset]. https://www.statista.com/statistics/861716/users-using-comparison-website-to-collect-info-when-shopping-online-in-italy/
    Explore at:
    Dataset updated
    Sep 14, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023
    Area covered
    Italy
    Description

    In 2023, nearly ** percent of Italian online shoppers reported to have used comparison websites to find information on shipping and delivery conditions. Another ** percent of surveyed consumers looked for special offers and discounts, while shipping and delivery conditions came in third (45.8 percent).

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
data.iowa.gov (2023). 50 States Comparison [Dataset]. https://catalog.data.gov/dataset/50-states-comparison

50 States Comparison

Explore at:
13 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 1, 2023
Dataset provided by
data.iowa.gov
Area covered
United States
Description

This online application gives manufacturers the ability to compare Iowa to other states on a number of different topics including: business climate, education, operating costs, quality of life and workforce.

Search
Clear search
Close search
Google apps
Main menu