100+ datasets found
  1. d

    2020 - 2021 Diversity Report

    • catalog.data.gov
    • data.cityofnewyork.us
    • +2more
    Updated Nov 29, 2024
    + more versions
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    data.cityofnewyork.us (2024). 2020 - 2021 Diversity Report [Dataset]. https://catalog.data.gov/dataset/2020-2021-diversity-report
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    Report on Demographic Data in New York City Public Schools, 2020-21Enrollment counts are based on the November 13 Audited Register for 2020. Categories with total enrollment values of zero were omitted. Pre-K data includes students in 3-K. Data on students with disabilities, English language learners, and student poverty status are as of March 19, 2021. Due to missing demographic information in rare cases and suppression rules, demographic categories do not always add up to total enrollment and/or citywide totals. NYC DOE "Eligible for free or reduced-price lunch” counts are based on the number of students with families who have qualified for free or reduced-price lunch or are eligible for Human Resources Administration (HRA) benefits. English Language Arts and Math state assessment results for students in grade 9 are not available for inclusion in this report, as the spring 2020 exams did not take place. Spring 2021 ELA and Math test results are not included in this report for K-8 students in 2020-21. Due to the COVID-19 pandemic’s complete transformation of New York City’s school system during the 2020-21 school year, and in accordance with New York State guidance, the 2021 ELA and Math assessments were optional for students to take. As a result, 21.6% of students in grades 3-8 took the English assessment in 2021 and 20.5% of students in grades 3-8 took the Math assessment. These participation rates are not representative of New York City students and schools and are not comparable to prior years, so results are not included in this report. Dual Language enrollment includes English Language Learners and non-English Language Learners. Dual Language data are based on data from STARS; as a result, school participation and student enrollment in Dual Language programs may differ from the data in this report. STARS course scheduling and grade management software applications provide a dynamic internal data system for school use; while standard course codes exist, data are not always consistent from school to school. This report does not include enrollment at District 75 & 79 programs. Students enrolled at Young Adult Borough Centers are represented in the 9-12 District data but not the 9-12 School data. “Prior Year” data included in Comparison tabs refers to data from 2019-20. “Year-to-Year Change” data included in Comparison tabs indicates whether the demographics of a school or special program have grown more or less similar to its district or attendance zone (or school, for special programs) since 2019-20. Year-to-year changes must have been at least 1 percentage point to qualify as “More Similar” or “Less Similar”; changes less than 1 percentage point are categorized as “No Change”. The admissions method tab contains information on the admissions methods used for elementary, middle, and high school programs during the Fall 2020 admissions process. Fall 2020 selection criteria are included for all programs with academic screens, including middle and high school programs. Selection criteria data is based on school-reported information. Fall 2020 Diversity in Admissions priorities is included for applicable middle and high school programs. Note that the data on each school’s demographics and performance includes all students of the given subgroup who were enrolled in the school on November 13, 2020. Some of these students may not have been admitted under the admissions method(s) shown, as some students may have enrolled in the school outside the centralized admissions process (via waitlist, over-the-counter, or transfer), and schools may have changed admissions methods over the past few years. Admissions methods are only reported for grades K-12. "3K and Pre-Kindergarten data are reported at the site level. See below for definitions of site types included in this report. Additionally, please note that this report excludes all students at District 75 sites, reflecting slightly lower enrollment than our total of 60,265 students

  2. Racial diversity in the workforce of Bank of America in the U. S. 2019-2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Racial diversity in the workforce of Bank of America in the U. S. 2019-2024 [Dataset]. https://www.statista.com/statistics/1319055/us-racial-diversity-bank-of-america/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Bank of America's workforce has undergone a significant shift in racial diversity over the past six years. The share of white employees decreased from **** percent in 2019 to **** percent in 2024, marking a notable change in the company's demographic composition. Meanwhile, the representation of Hispanic, Asian, and Black racial groups grew steadily. The second-largest racial group in the observed period was Hispanic, whose share increased from **** to **** percent.

  3. E

    Diversity in Tech Statistics 2024 – By Countries, Companies And Demographic...

    • enterpriseappstoday.com
    Updated Mar 1, 2024
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    EnterpriseAppsToday (2024). Diversity in Tech Statistics 2024 – By Countries, Companies And Demographic (Age, Gender, Race, Education) [Dataset]. https://www.enterpriseappstoday.com/stats/diversity-in-tech-statistics.html
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    Dataset updated
    Mar 1, 2024
    Dataset authored and provided by
    EnterpriseAppsToday
    License

    https://www.enterpriseappstoday.com/privacy-policyhttps://www.enterpriseappstoday.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Diversity in Tech Statistics: In today's tech-driven world, discussions about diversity in the technology sector have gained significant traction. Recent statistics shed light on the disparities and opportunities within this industry. According to data from various sources, including reports from leading tech companies and diversity advocacy groups, the lack of diversity remains a prominent issue. For example, studies reveal that only 25% of computing jobs in the United States are held by women, while Black and Hispanic individuals make up just 9% of the tech workforce combined. Additionally, research indicates that LGBTQ+ individuals are underrepresented in tech, with only 2.3% of tech workers identifying as LGBTQ+. Despite these challenges, there are promising signs of progress. Companies are increasingly recognizing the importance of diversity and inclusion initiatives, with some allocating significant resources to address these issues. For instance, tech giants like Google and Microsoft have committed millions of USD to diversity programs aimed at recruiting and retaining underrepresented talent. As discussions surrounding diversity in tech continue to evolve, understanding the statistical landscape is crucial in fostering meaningful change and creating a more inclusive industry for all. Editor’s Choice In 2021, 7.9% of the US labor force was employed in technology. Women hold only 26.7% of tech employment, while men hold 73.3% of these positions. White Americans hold 62.5% of the positions in the US tech sector. Asian Americans account for 20% of jobs, Latinx Americans 8%, and Black Americans 7%. 83.3% of tech executives in the US are white. Black Americans comprised 14% of the population in 2019 but held only 7% of tech employment. For the same position, at the same business, and with the same experience, women in tech are typically paid 3% less than men. The high-tech sector employs more men (64% against 52%), Asian Americans (14% compared to 5.8%), and white people (68.5% versus 63.5%) compared to other industries. The tech industry is urged to prioritize inclusion when hiring, mentoring, and retaining employees to bridge the digital skills gap. Black professionals only account for 4% of all tech workers despite being 13% of the US workforce. Hispanic professionals hold just 8% of all STEM jobs despite being 17% of the national workforce. Only 22% of workers in tech are ethnic minorities. Gender diversity in tech is low, with just 26% of jobs in computer-related sectors occupied by women. Companies with diverse teams have higher profitability, with those in the top quartile for gender diversity being 25% more likely to have above-average profitability. Every month, the tech industry adds about 9,600 jobs to the U.S. economy. Between May 2009 and May 2015, over 800,000 net STEM jobs were added to the U.S. economy. STEM jobs are expected to grow by another 8.9% between 2015 and 2024. The percentage of black and Hispanic employees at major tech companies is very low, making up just one to three percent of the tech workforce. Tech hiring relies heavily on poaching and incentives, creating an unsustainable ecosystem ripe for disruption. Recruiters have a significant role in disrupting the hiring process to support diversity and inclusion. You May Also Like To Read Outsourcing Statistics Digital Transformation Statistics Internet of Things Statistics Computer Vision Statistics

  4. p

    Trends in White Student Percentage (2006-2023): Peace & Diversity Academy...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in White Student Percentage (2006-2023): Peace & Diversity Academy vs. New York vs. New York City Geographic District # 8 School District [Dataset]. https://www.publicschoolreview.com/peace-diversity-academy-profile
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    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

    Area covered
    New York
    Description

    This dataset tracks annual white student percentage from 2006 to 2023 for Peace & Diversity Academy vs. New York and New York City Geographic District # 8 School District

  5. s

    Data from: Regional ethnic diversity

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Dec 22, 2022
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    Race Disparity Unit (2022). Regional ethnic diversity [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/uk-population-by-ethnicity/national-and-regional-populations/regional-ethnic-diversity/latest
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    csv(1 MB), csv(47 KB)Available download formats
    Dataset updated
    Dec 22, 2022
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England
    Description

    According to the 2021 Census, London was the most ethnically diverse region in England and Wales – 63.2% of residents identified with an ethnic minority group.

  6. Racial and ethnic diversity of law school admission rates U.S. 2022

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Racial and ethnic diversity of law school admission rates U.S. 2022 [Dataset]. https://www.statista.com/statistics/1447341/racial-diversity-law-school-admission-us/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, the majority of those who were accepted into law school in the United States were Caucasian or white. Those from a Black or African American background were bottom of the list, where they made up ** percent of those who were accepted into law school.

  7. f

    Clonal diversity statistics of the full data set for three populations.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Oct 21, 2019
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    Major, C. Kendall; Mandel, Jennifer R.; Moore, James E.; Bayer, Randall J. (2019). Clonal diversity statistics of the full data set for three populations. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000110890
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    Dataset updated
    Oct 21, 2019
    Authors
    Major, C. Kendall; Mandel, Jennifer R.; Moore, James E.; Bayer, Randall J.
    Description

    Clonal diversity statistics of the full data set for three populations.

  8. UK armed forces biannual diversity statistics: October 2024

    • gov.uk
    Updated Jan 23, 2025
    + more versions
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    Ministry of Defence (2025). UK armed forces biannual diversity statistics: October 2024 [Dataset]. https://www.gov.uk/government/statistics/uk-armed-forces-biannual-diversity-statistics-october-2024
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    Dataset updated
    Jan 23, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Defence
    Area covered
    United Kingdom
    Description

    This is a biannual publication containing statistics on diversity declaration and representation of protected characteristics for military personnel employed by the Ministry of Defence.

    Diversity statistics replaces a number of previous MOD tri-service publications including the Diversity Dashboard (Military), Annual and Quarterly Personnel Reports, Service Personnel Bulletin 2.01, Annual maternity report and the UK Reserve Forces and Cadets report, which can now be found in this publication.

  9. Share of US adults who approve of colleges considering race to improve...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Share of US adults who approve of colleges considering race to improve diversity 2023 [Dataset]. https://www.statista.com/statistics/1401904/share-of-us-adults-who-approve-of-colleges-considering-race-to-increase-diversity/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 27, 2023 - Apr 2, 2023
    Area covered
    United States
    Description

    According to a survey conducted in 2023, ** percent of Black Americans said that they approved of selective colleges and universities taking race and ethnicity into account in admissions decisions in order to increase diversity at school in the United States, while ** percent of Hispanic Americans and ** percent of Asian Americans shared this belief.

  10. College Education

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    pdf
    Updated Dec 26, 2023
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    RN Uma; Alade Tokuta; Rebecca Zulli Lowe; Adrienne Smith (2023). College Education [Dataset]. http://doi.org/10.6084/m9.figshare.16571459.v3
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    pdfAvailable download formats
    Dataset updated
    Dec 26, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    RN Uma; Alade Tokuta; Rebecca Zulli Lowe; Adrienne Smith
    License

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

    Description

    This dataset is accessed from https://www.kaggle.com/jessemostipak/college-tuition-diversity-and-pay and was downloaded on August 4, 2021.

    The following excerpt is from Kaggle regarding the sources of this dataset:

    The data this week comes from many different sources but originally came from the US Department of Education.

    Tuition and fees by college/university for 2018-2019, along with school type, degree length, state, in-state vs out-of-state from the Chronicle of Higher Education. Diversity by college/university for 2014, along with school type, degree length, state, in-state vs out-of-state from the Chronicle of Higher Education. Example diversity graphics from Priceonomics. Average net cost by income bracket from TuitionTracker.org. Example price trend and graduation rates from TuitionTracker.org Salary potential data comes from payscale.com.

    This dataset included the following files:

    1. diversity_school.csv

    2. historical_tuition.csv

    3. salary_potential.csv

    4. tuition_cost.csv

    5. tuition_income.csv

    After data cleaning, the data in diversity_school.csv and tuition_cost.csv were merged and the data in salary_potential.csv and tuition_income.csv were merged. The combined datasets were then split based on the US Census Regions into West, Midwest, Northeast and South (https://www2.census.gov/geo/pdfs/maps-data/maps/reference/us_regdiv.pdf).

  11. p

    Trends in Student-Teacher Ratio (2006-2023): Peace & Diversity Academy vs....

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Student-Teacher Ratio (2006-2023): Peace & Diversity Academy vs. New York vs. New York City Geographic District # 8 School District [Dataset]. https://www.publicschoolreview.com/peace-diversity-academy-profile
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    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

    Area covered
    New York
    Description

    This dataset tracks annual student-teacher ratio from 2006 to 2023 for Peace & Diversity Academy vs. New York and New York City Geographic District # 8 School District

  12. p

    Ella J. Fitzgerald Middle School

    • publicschoolreview.com
    json, xml
    Updated Jan 12, 2004
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    Public School Review (2004). Ella J. Fitzgerald Middle School [Dataset]. https://www.publicschoolreview.com/ella-j-fitzgerald-middle-school-profile
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    json, xmlAvailable download formats
    Dataset updated
    Jan 12, 2004
    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, 1987 - Dec 31, 2025
    Description

    Historical Dataset of Ella J. Fitzgerald Middle School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1988-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1988-2023),Asian Student Percentage Comparison Over Years (1993-2023),Hispanic Student Percentage Comparison Over Years (1993-2023),Black Student Percentage Comparison Over Years (1993-2023),White Student Percentage Comparison Over Years (1993-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1993-2023),Free Lunch Eligibility Comparison Over Years (1996-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2021),Reading and Language Arts Proficiency Comparison Over Years (2010-2021),Math Proficiency Comparison Over Years (2010-2023),Overall School Rank Trends Over Years (2012-2023)

  13. f

    Statistics of population diversity and estimates for population size change...

    • figshare.com
    xls
    Updated Jun 5, 2023
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    Miyuki Takeda; Junko Kusumi; Shinji Mizoiri; Mitsuto Aibara; Semvua Isa Mzighani; Tetsu Sato; Yohey Terai; Norihiro Okada; Hidenori Tachida (2023). Statistics of population diversity and estimates for population size change for the 9 species. [Dataset]. http://doi.org/10.1371/journal.pone.0074088.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Miyuki Takeda; Junko Kusumi; Shinji Mizoiri; Mitsuto Aibara; Semvua Isa Mzighani; Tetsu Sato; Yohey Terai; Norihiro Okada; Hidenori Tachida
    License

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

    Description

    aHp, H. (Y.) pyrrhocephalus: Hl, H. (Y.) laparogramma: Lrub, L. rubripinnis: Lruf, L. rufus: Mm, M. mbipi: Nr, N. rufocaudalis: Ng, N. greenwoodi: No, N. omnicaeruleus: Hs, H. (P.) sauvageibParameters of the model by Schneider and Excoffier (1999).cu = 2.3×10–8 per year per base pair was assumed.dResults of goodness of fit for the predicted expansion model.*significant at 5%,**significant at 1%.***significant at 0.1%.

  14. p

    Chesapeake High School

    • publicschoolreview.com
    json, xml
    + more versions
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    Public School Review, Chesapeake High School [Dataset]. https://www.publicschoolreview.com/chesapeake-high-school-profile/21221
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    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, 1987 - Dec 31, 2025
    Description

    Historical Dataset of Chesapeake High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1987-2023),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1993-2023),Black Student Percentage Comparison Over Years (1993-2023),White Student Percentage Comparison Over Years (1993-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1993-2023),Free Lunch Eligibility Comparison Over Years (1991-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2011-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2023),Graduation Rate Comparison Over Years (2013-2023)

  15. f

    Diversity statistics for the 14 background loci (at the top of the table)...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    • +1more
    Updated May 8, 2014
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    Lagercrantz, Ulf; Källman, Thomas; Suyama, Yoshihisa; Gyllenstrand, Niclas; Parducci, Laura; Heuertz, Myriam; De Mita, Stéphane; Larsson, Hanna; Lascoux, Martin (2014). Diversity statistics for the 14 background loci (at the top of the table) and the 19 photoperiodic pathway loci used in the study. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001230043
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    Dataset updated
    May 8, 2014
    Authors
    Lagercrantz, Ulf; Källman, Thomas; Suyama, Yoshihisa; Gyllenstrand, Niclas; Parducci, Laura; Heuertz, Myriam; De Mita, Stéphane; Larsson, Hanna; Lascoux, Martin
    Description

    1Total number of Picea abies sequences2Number of sites after excluding gaps and sites with missing data3Haplotype diversity4: Estimate of the population mutation rate , based on the number of segregating sites (per base pair)5: Estimate of the population mutation rate, , based on nucleotide diversity, . (per base pair)6NA = Not applicable

  16. f

    Sequence diversity statistics for each sample.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Dec 20, 2012
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    Allen, Richard C.; Hughes, Joseph; Kellam, Paul; Elton, Debra; Murcia, Pablo R.; Wood, James L. N.; Hampson, Katie; Holmes, Edward C.; Baillie, Gregory J.; Newton, J. Richard; Baguelin, Marc (2012). Sequence diversity statistics for each sample. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001161183
    Explore at:
    Dataset updated
    Dec 20, 2012
    Authors
    Allen, Richard C.; Hughes, Joseph; Kellam, Paul; Elton, Debra; Murcia, Pablo R.; Wood, James L. N.; Hampson, Katie; Holmes, Edward C.; Baillie, Gregory J.; Newton, J. Richard; Baguelin, Marc
    Description

    Sequence diversity statistics for each sample.

  17. Genetic diversity statistics for three genet-only populations.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 31, 2023
    + more versions
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    Jennifer R. Mandel; C. Kendall Major; Randall J. Bayer; James E. Moore (2023). Genetic diversity statistics for three genet-only populations. [Dataset]. http://doi.org/10.1371/journal.pone.0224123.t004
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jennifer R. Mandel; C. Kendall Major; Randall J. Bayer; James E. Moore
    License

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

    Description

    Genetic diversity statistics for three genet-only populations.

  18. p

    Freedom High School

    • publicschoolreview.com
    json, xml
    Updated Aug 6, 2025
    + more versions
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    Public School Review (2025). Freedom High School [Dataset]. https://www.publicschoolreview.com/freedom-high-school-profile/22191
    Explore at:
    xml, jsonAvailable download formats
    Dataset updated
    Aug 6, 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, 2005 - Dec 31, 2025
    Description

    Historical Dataset of Freedom High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2005-2023),Total Classroom Teachers Trends Over Years (2007-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2007-2023),Asian Student Percentage Comparison Over Years (2005-2023),Hispanic Student Percentage Comparison Over Years (2005-2023),Black Student Percentage Comparison Over Years (2005-2023),White Student Percentage Comparison Over Years (2005-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2005-2023),Free Lunch Eligibility Comparison Over Years (2005-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2006-2022),Reading and Language Arts Proficiency Comparison Over Years (2010-2021),Math Proficiency Comparison Over Years (2010-2023),Overall School Rank Trends Over Years (2012-2023),Graduation Rate Comparison Over Years (2013-2023)

  19. e

    Diversity Data

    • data.europa.eu
    • data.wu.ac.at
    Updated Sep 25, 2021
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    Judicial Appointments Commission (2021). Diversity Data [Dataset]. https://data.europa.eu/data/datasets/diversity-data_1
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    Dataset updated
    Sep 25, 2021
    Dataset authored and provided by
    Judicial Appointments Commission
    Description

    Diversity statistics for selection exercises showing

  20. Diversity Data - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Sep 3, 2013
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    ckan.publishing.service.gov.uk (2013). Diversity Data - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/diversity-data_1
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    Dataset updated
    Sep 3, 2013
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Diversity statistics for selection exercises showing

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data.cityofnewyork.us (2024). 2020 - 2021 Diversity Report [Dataset]. https://catalog.data.gov/dataset/2020-2021-diversity-report

2020 - 2021 Diversity Report

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 29, 2024
Dataset provided by
data.cityofnewyork.us
Description

Report on Demographic Data in New York City Public Schools, 2020-21Enrollment counts are based on the November 13 Audited Register for 2020. Categories with total enrollment values of zero were omitted. Pre-K data includes students in 3-K. Data on students with disabilities, English language learners, and student poverty status are as of March 19, 2021. Due to missing demographic information in rare cases and suppression rules, demographic categories do not always add up to total enrollment and/or citywide totals. NYC DOE "Eligible for free or reduced-price lunch” counts are based on the number of students with families who have qualified for free or reduced-price lunch or are eligible for Human Resources Administration (HRA) benefits. English Language Arts and Math state assessment results for students in grade 9 are not available for inclusion in this report, as the spring 2020 exams did not take place. Spring 2021 ELA and Math test results are not included in this report for K-8 students in 2020-21. Due to the COVID-19 pandemic’s complete transformation of New York City’s school system during the 2020-21 school year, and in accordance with New York State guidance, the 2021 ELA and Math assessments were optional for students to take. As a result, 21.6% of students in grades 3-8 took the English assessment in 2021 and 20.5% of students in grades 3-8 took the Math assessment. These participation rates are not representative of New York City students and schools and are not comparable to prior years, so results are not included in this report. Dual Language enrollment includes English Language Learners and non-English Language Learners. Dual Language data are based on data from STARS; as a result, school participation and student enrollment in Dual Language programs may differ from the data in this report. STARS course scheduling and grade management software applications provide a dynamic internal data system for school use; while standard course codes exist, data are not always consistent from school to school. This report does not include enrollment at District 75 & 79 programs. Students enrolled at Young Adult Borough Centers are represented in the 9-12 District data but not the 9-12 School data. “Prior Year” data included in Comparison tabs refers to data from 2019-20. “Year-to-Year Change” data included in Comparison tabs indicates whether the demographics of a school or special program have grown more or less similar to its district or attendance zone (or school, for special programs) since 2019-20. Year-to-year changes must have been at least 1 percentage point to qualify as “More Similar” or “Less Similar”; changes less than 1 percentage point are categorized as “No Change”. The admissions method tab contains information on the admissions methods used for elementary, middle, and high school programs during the Fall 2020 admissions process. Fall 2020 selection criteria are included for all programs with academic screens, including middle and high school programs. Selection criteria data is based on school-reported information. Fall 2020 Diversity in Admissions priorities is included for applicable middle and high school programs. Note that the data on each school’s demographics and performance includes all students of the given subgroup who were enrolled in the school on November 13, 2020. Some of these students may not have been admitted under the admissions method(s) shown, as some students may have enrolled in the school outside the centralized admissions process (via waitlist, over-the-counter, or transfer), and schools may have changed admissions methods over the past few years. Admissions methods are only reported for grades K-12. "3K and Pre-Kindergarten data are reported at the site level. See below for definitions of site types included in this report. Additionally, please note that this report excludes all students at District 75 sites, reflecting slightly lower enrollment than our total of 60,265 students

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