100+ datasets found
  1. p

    Trends in Diversity Score (2013-2023): Evangeline Roberts Institute Of...

    • publicschoolreview.com
    Updated May 8, 2025
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    Public School Review (2025). Trends in Diversity Score (2013-2023): Evangeline Roberts Institute Of Learning vs. California vs. San Diego Unified School District [Dataset]. https://www.publicschoolreview.com/evangeline-roberts-institute-of-learning-profile
    Explore at:
    Dataset updated
    May 8, 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

    Area covered
    San Diego Unified School District, San Diego
    Description

    This dataset tracks annual diversity score from 2013 to 2023 for Evangeline Roberts Institute Of Learning vs. California and San Diego Unified School District

  2. N

    Median Household Income by Racial Categories in San Diego, TX (2021, in 2022...

    • neilsberg.com
    csv, json
    Updated Jan 3, 2024
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    Neilsberg Research (2024). Median Household Income by Racial Categories in San Diego, TX (2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/36552a7f-8904-11ee-9302-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 3, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    San Diego, Texas
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in San Diego. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of San Diego population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 91.85% of the total residents in San Diego. Notably, the median household income for White households is $47,341. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $47,341.

    https://i.neilsberg.com/ch/san-diego-tx-median-household-income-by-race.jpeg" alt="San Diego median household income diversity across racial categories">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in San Diego.
    • Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for San Diego median household income by race. You can refer the same here

  3. N

    San Diego, TX annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). San Diego, TX annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/san-diego-tx-income-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    San Diego, Texas
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within San Diego. The dataset can be utilized to gain insights into gender-based income distribution within the San Diego population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within San Diego, among individuals aged 15 years and older with income, there were 1,130 men and 1,172 women in the workforce. Among them, 755 men were engaged in full-time, year-round employment, while 391 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 4.11% fell within the income range of under $24,999, while 20.46% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 13.38% of men in full-time roles earned incomes exceeding $100,000, while none of women in full-time positions earned within this income bracket.
    • Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income brackets:

    • $1 to $2,499 or loss
    • $2,500 to $4,999
    • $5,000 to $7,499
    • $7,500 to $9,999
    • $10,000 to $12,499
    • $12,500 to $14,999
    • $15,000 to $17,499
    • $17,500 to $19,999
    • $20,000 to $22,499
    • $22,500 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $54,999
    • $55,000 to $64,999
    • $65,000 to $74,999
    • $75,000 to $99,999
    • $100,000 or more

    Variables / Data Columns

    • Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
    • Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
    • Part-Time Males: The count of males employed part-time and earning within a specified income bracket
    • Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
    • Part-Time Females: The count of females employed part-time and earning within a specified income bracket

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for San Diego median household income by race. You can refer the same here

  4. p

    Trends in Diversity Score (2019-2023): San Diego Virtual vs. California vs....

    • publicschoolreview.com
    Updated Feb 9, 2025
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    Public School Review (2025). Trends in Diversity Score (2019-2023): San Diego Virtual vs. California vs. San Diego Virtual School District [Dataset]. https://www.publicschoolreview.com/san-diego-virtual-profile
    Explore at:
    Dataset updated
    Feb 9, 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

    Area covered
    San Diego
    Description

    This dataset tracks annual diversity score from 2019 to 2023 for San Diego Virtual vs. California and San Diego Virtual School District

  5. p

    Trends in Diversity Score (1991-2023): San Diego Scpa vs. California vs. San...

    • publicschoolreview.com
    Updated Feb 9, 2025
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    Public School Review (2025). Trends in Diversity Score (1991-2023): San Diego Scpa vs. California vs. San Diego Unified School District [Dataset]. https://www.publicschoolreview.com/san-diego-scpa-profile
    Explore at:
    Dataset updated
    Feb 9, 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

    Area covered
    San Diego Unified School District, San Diego
    Description

    This dataset tracks annual diversity score from 1991 to 2023 for San Diego Scpa vs. California and San Diego Unified School District

  6. N

    San Diego, CA median household income breakdown by race betwen 2013 and 2023...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
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    Neilsberg Research (2025). San Diego, CA median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/research/datasets/ed33fe3d-f665-11ef-a994-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    California, San Diego
    Variables measured
    Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data from 2013 to 2023. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in San Diego. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

    Key observations

    • White: In San Diego, the median household income for the households where the householder is White increased by $25,316(29.19%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $86,725 in 2013 and $112,041 in 2023.
    • Black or African American: In San Diego, the median household income for the households where the householder is Black or African American increased by $8,190(13.70%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $59,778 in 2013 and $67,968 in 2023.
    • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in San Diego.
    • 2010: 2010 median household income
    • 2011: 2011 median household income
    • 2012: 2012 median household income
    • 2013: 2013 median household income
    • 2014: 2014 median household income
    • 2015: 2015 median household income
    • 2016: 2016 median household income
    • 2017: 2017 median household income
    • 2018: 2018 median household income
    • 2019: 2019 median household income
    • 2020: 2020 median household income
    • 2021: 2021 median household income
    • 2022: 2022 median household income
    • 2023: 2023 median household income
    • Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for San Diego median household income by race. You can refer the same here

  7. l

    San Diego Neighborhood Data

    • luxurysocalrealty.com
    Updated May 5, 2021
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    (2021). San Diego Neighborhood Data [Dataset]. https://www.luxurysocalrealty.com/san-diego-neighborhoods/
    Explore at:
    Dataset updated
    May 5, 2021
    Area covered
    Downtown San Diego, San Diego, Poway, Chula Vista, Coronado, La Jolla, Del Mar, Normal Heights, Carmel Valley, North Park, Hillcrest
    Variables measured
    Monthly Rent, School Ratings, Median Home Price
    Description

    Comprehensive data on 10 San Diego neighborhoods including pricing, schools, lifestyle factors

  8. f

    PERM Cases by Citizenship for Paul Mitchell the School-San Diego

    • froghire.ai
    Updated Apr 1, 2025
    + more versions
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    FrogHire.ai (2025). PERM Cases by Citizenship for Paul Mitchell the School-San Diego [Dataset]. https://www.froghire.ai/school/Paul%20Mitchell%20the%20School-San%20Diego
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    FrogHire.ai
    Area covered
    San Diego
    Description

    This bar chart depicts PERM case filings at Paul Mitchell the School-San Diego sorted by the citizenship of the graduates. The filter by major feature provides a deeper understanding of the international diversity of graduates who are being sponsored by employers in the U.S.

  9. Data from: SDNHM Herpetology Collection

    • gbif.org
    • demo.gbif.org
    Updated Mar 21, 2018
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    Bradford Hollingsworth; Bradford Hollingsworth (2018). SDNHM Herpetology Collection [Dataset]. http://doi.org/10.15468/tacqs9
    Explore at:
    Dataset updated
    Mar 21, 2018
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    San Diego Natural History Museum
    Authors
    Bradford Hollingsworth; Bradford Hollingsworth
    License

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

    Area covered
    Description

    The San Diego Natural History Museum Department of Herpetology focuses on the study of amphibians and reptiles. Resources are available to scientists to help better understand amphibian and reptile biology and conserve species when their existence is threatened. The great diversity of amphibian and reptile species is preserved for scientific research in the form of alcohol-preserved and skeletal specimens. The herpetology collection holds over 76,000 catalogued specimens (73,300 fluid-preserved specimens and 3,100 skeletons with 212 primary and 500 secondary types) dating back to the 1890s. The collection has been built over the past century and is actively being added to today. All cataloged specimens are computer databased which allows for any combination of taxonomic and geographic records to be searched.

  10. p

    Trends in Diversity Score (2005-2023): San Diego Business/leadership vs....

    • publicschoolreview.com
    Updated Feb 9, 2025
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    Public School Review (2025). Trends in Diversity Score (2005-2023): San Diego Business/leadership vs. California vs. San Diego Unified School District [Dataset]. https://www.publicschoolreview.com/san-diego-business-leadership-profile
    Explore at:
    Dataset updated
    Feb 9, 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

    Area covered
    San Diego Unified School District, San Diego
    Description

    This dataset tracks annual diversity score from 2005 to 2023 for San Diego Business/leadership vs. California and San Diego Unified School District

  11. N

    cities in San Diego County Ranked by Multi-Racial Black Population // 2025...

    • neilsberg.com
    csv, json
    Updated Feb 11, 2025
    + more versions
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    Neilsberg Research (2025). cities in San Diego County Ranked by Multi-Racial Black Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/cities-in-san-diego-county-ca-by-multi-racial-black-population/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    San Diego County, California
    Variables measured
    Multi-Racial Black Population, Multi-Racial Black Population as Percent of Total Population of cities in San Diego County, CA, Multi-Racial Black Population as Percent of Total Multi-Racial Black Population of San Diego County, CA
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    This list ranks the 18 cities in the San Diego County, CA by Multi-Racial Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Multi-Racial Black Population: This column displays the rank of cities in the San Diego County, CA by their Multi-Racial Black or African American population, using the most recent ACS data available.
    • cities: The cities for which the rank is shown in the previous column.
    • Multi-Racial Black Population: The Multi-Racial Black population of the cities is shown in this column.
    • % of Total cities Population: This shows what percentage of the total cities population identifies as Multi-Racial Black. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total San Diego County Multi-Racial Black Population: This tells us how much of the entire San Diego County, CA Multi-Racial Black population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  12. d

    Does pollinator diversity loss affect pollination services: a test with the...

    • search.dataone.org
    • knb.ecoinformatics.org
    Updated Sep 11, 2015
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    National Center for Ecological Analysis and Synthesis; Henry Cen (2015). Does pollinator diversity loss affect pollination services: a test with the California poppy and tarweed [Dataset]. https://search.dataone.org/view/nceas.1111.2
    Explore at:
    Dataset updated
    Sep 11, 2015
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    National Center for Ecological Analysis and Synthesis; Henry Cen
    Time period covered
    Mar 20, 2015 - May 19, 2015
    Area covered
    Description

    Many plant species depend on insect pollination for successful reproduction. Bees play key roles as pollinators, and both bee abundance and species richness can be negatively affected by human disturbances. Surprisingly, the relationship between pollinator diversity loss and the reproductive success of plant species that rely on insect pollination has not been well documented, especially in natural ecosystems. In this study, I propose to experimentally test how empirically documented declines in bee diversity affect the reproductive success of Eschscholzia californica (California poppy) and tarweed in coastal sage scrub ecosystems of San Diego County, California. Our lab has documented that the bee faunas of fragmented coastal sage scrub ecosystems exhibit reduced diversity compared to natural reserve sites. I hypothesize that poppy and tarweed reproductive success will be positively related to the diversity of visiting pollinators.

  13. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 1, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/school/Design%20Institute%20of%20San%20Diego
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees among PERM graduates from Design Institute of San Diego. The chart categorizes the percentages of Bachelor’s, Master’s, and Doctoral degrees, showcasing the educational composition of students who have pursued permanent residency through their qualifications at Design Institute of San Diego. This visualization aids in understanding the diversity of educational backgrounds that contribute to the PERM applications, reflecting the school’s role in supporting students’ transitions to permanent residency in the U.S. Data is updated annually to reflect the most recent graduate outcomes.

  14. p

    Trends in Diversity Score (2019-2023): Insight San Diego vs. California vs....

    • publicschoolreview.com
    Updated Feb 5, 2025
    + more versions
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    Public School Review (2025). Trends in Diversity Score (2019-2023): Insight San Diego vs. California vs. Insight @ San Diego School District [Dataset]. https://www.publicschoolreview.com/insight-san-diego-profile
    Explore at:
    Dataset updated
    Feb 5, 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

    Area covered
    San Diego Unified School District, San Diego
    Description

    This dataset tracks annual diversity score from 2019 to 2023 for Insight San Diego vs. California and Insight @ San Diego School District

  15. N

    San Antonio, FL annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). San Antonio, FL annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/san-antonio-fl-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Florida, San Antonio
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within San Antonio. The dataset can be utilized to gain insights into gender-based income distribution within the San Antonio population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within San Antonio, among individuals aged 15 years and older with income, there were 446 men and 560 women in the workforce. Among them, 244 men were engaged in full-time, year-round employment, while 281 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 7.79% fell within the income range of under $24,999, while 7.12% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 35.25% of men in full-time roles earned incomes exceeding $100,000, while 15.66% of women in full-time positions earned within this income bracket.
    • Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income brackets:

    • $1 to $2,499 or loss
    • $2,500 to $4,999
    • $5,000 to $7,499
    • $7,500 to $9,999
    • $10,000 to $12,499
    • $12,500 to $14,999
    • $15,000 to $17,499
    • $17,500 to $19,999
    • $20,000 to $22,499
    • $22,500 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $54,999
    • $55,000 to $64,999
    • $65,000 to $74,999
    • $75,000 to $99,999
    • $100,000 or more

    Variables / Data Columns

    • Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
    • Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
    • Part-Time Males: The count of males employed part-time and earning within a specified income bracket
    • Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
    • Part-Time Females: The count of females employed part-time and earning within a specified income bracket

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for San Antonio median household income by race. You can refer the same here

  16. p

    Trends in Diversity Score (2019-2023): San Diego Neighborhood Homeschools...

    • publicschoolreview.com
    Updated May 8, 2024
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    Public School Review (2024). Trends in Diversity Score (2019-2023): San Diego Neighborhood Homeschools vs. California vs. San Diego Neighborhood Homeschools School District [Dataset]. https://www.publicschoolreview.com/san-diego-neighborhood-homeschools-profile
    Explore at:
    Dataset updated
    May 8, 2024
    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
    San Diego
    Description

    This dataset tracks annual diversity score from 2019 to 2023 for San Diego Neighborhood Homeschools vs. California and San Diego Neighborhood Homeschools School District

  17. p

    Trends in Diversity Score (2005-2023): San Diego Metro Career And Technical...

    • publicschoolreview.com
    Updated Aug 20, 2025
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    Public School Review (2025). Trends in Diversity Score (2005-2023): San Diego Metro Career And Technical vs. California vs. San Diego Unified School District [Dataset]. https://www.publicschoolreview.com/san-diego-metro-career-and-technical-profile
    Explore at:
    Dataset updated
    Aug 20, 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

    Area covered
    San Diego Unified School District, San Diego
    Description

    This dataset tracks annual diversity score from 2005 to 2023 for San Diego Metro Career And Technical vs. California and San Diego Unified School District

  18. p

    Trends in Diversity Score (2001-2023): San Diego Riverside vs. New Mexico...

    • publicschoolreview.com
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    Public School Review, Trends in Diversity Score (2001-2023): San Diego Riverside vs. New Mexico vs. Jemez Valley School District [Dataset]. https://www.publicschoolreview.com/san-diego-riverside-profile
    Explore at:
    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
    Jemez Valley Public Schools
    Description

    This dataset tracks annual diversity score from 2001 to 2023 for San Diego Riverside vs. New Mexico and Jemez Valley School District

  19. p

    Trends in Diversity Score (2017-2023): San Diego Workforce Innovation High...

    • publicschoolreview.com
    Updated Jul 1, 2021
    + more versions
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    Public School Review (2021). Trends in Diversity Score (2017-2023): San Diego Workforce Innovation High School vs. California vs. Borrego Springs Unified School District [Dataset]. https://www.publicschoolreview.com/san-diego-workforce-innovation-high-school-profile/92004
    Explore at:
    Dataset updated
    Jul 1, 2021
    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
    Borrego Springs
    Description

    This dataset tracks annual diversity score from 2017 to 2023 for San Diego Workforce Innovation High School vs. California and Borrego Springs Unified School District

  20. p

    Trends in Diversity Score (2019-2023): San Diego Cooperative Charter vs....

    • publicschoolreview.com
    Updated Aug 6, 2025
    + more versions
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    Public School Review (2025). Trends in Diversity Score (2019-2023): San Diego Cooperative Charter vs. California vs. San Diego Cooperative Charter School District [Dataset]. https://www.publicschoolreview.com/san-diego-cooperative-charter-profile
    Explore at:
    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

    Area covered
    San Diego
    Description

    This dataset tracks annual diversity score from 2019 to 2023 for San Diego Cooperative Charter vs. California and San Diego Cooperative Charter School District

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Public School Review (2025). Trends in Diversity Score (2013-2023): Evangeline Roberts Institute Of Learning vs. California vs. San Diego Unified School District [Dataset]. https://www.publicschoolreview.com/evangeline-roberts-institute-of-learning-profile

Trends in Diversity Score (2013-2023): Evangeline Roberts Institute Of Learning vs. California vs. San Diego Unified School District

Explore at:
Dataset updated
May 8, 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

Area covered
San Diego Unified School District, San Diego
Description

This dataset tracks annual diversity score from 2013 to 2023 for Evangeline Roberts Institute Of Learning vs. California and San Diego Unified School District

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