19 datasets found
  1. p

    Trends in Two or More Races Student Percentage (2019-2020): Ednovate - Usc...

    • publicschoolreview.com
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    Public School Review, Trends in Two or More Races Student Percentage (2019-2020): Ednovate - Usc Hybrid High College Prep vs. California vs. Ednovate - Usc Hybrid High College Prep School District [Dataset]. https://www.publicschoolreview.com/ednovate-usc-hybrid-high-college-prep-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

    Description

    This dataset tracks annual two or more races student percentage from 2019 to 2020 for Ednovate - Usc Hybrid High College Prep vs. California and Ednovate - Usc Hybrid High College Prep School District

  2. p

    Trends in Two or More Races Student Percentage (2015-2022): Thirty-second...

    • publicschoolreview.com
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    Public School Review, Trends in Two or More Races Student Percentage (2015-2022): Thirty-second Street Usc Performing Arts vs. California vs. Los Angeles Unified School District [Dataset]. https://www.publicschoolreview.com/thirty-second-street-usc-performing-arts-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
    Los Angeles Unified School District, West 32nd Street, California
    Description

    This dataset tracks annual two or more races student percentage from 2015 to 2022 for Thirty-second Street Usc Performing Arts vs. California and Los Angeles Unified School District

  3. a

    Medical Service Study Area Demographics

    • usc-geohealth-hub-uscssi.hub.arcgis.com
    Updated Nov 10, 2021
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    Spatial Sciences Institute (2021). Medical Service Study Area Demographics [Dataset]. https://usc-geohealth-hub-uscssi.hub.arcgis.com/datasets/medical-service-study-area-demographics
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    Dataset updated
    Nov 10, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    Medical Service Study Areas (MSSAs)As defined by California's Office of Statewide Health Planning and Development (OSHPD) in 2013, "MSSAs are sub-city and sub-county geographical units used to organize and display population, demographic and physician data" (Source). Each census tract in CA is assigned to a given MSSA. The most recent MSSA dataset (2014) was used. Spatial data are available via OSHPD at the California Open Data Portal. This information may be useful in studying health equity.Definitions:Race/Ethnicity: Race/ethnicity is categorized as: All races/ethnicities, Non-Hispanic (NH) White, NH Black, Asian/Pacific Islander, or Hispanic. "All races" includes all of the above, as well as other and unknown race/ethnicity and American Indian/Alaska Native. The latter two groups are not reported separately due to small numbers for many cancer sites.Racial/Ethnic Composition: Distribution of residents' race/ethnicity (e.g., % Hispanic, % non-Hispanic White, % non-Hispanic Black, % non-Hispanic Asian/Pacific Islander). (Source: US Census, 2010.)Rural: Percent of residents who reside in blocks that are designated as rural. (Source: US Census, 2010.)Foreign Born: Percent of residents who were born outside the United States. (Source: American Community Survey, 2008-2012.)Socioeconomic Status (Neighborhood Level): A composite measure of seven indicator variables created by principal component analysis; indicators include: education, blue-collar job, unemployment, household income, poverty, rent, and house value. Quintiles based on state distribution, with quintile 1 being the lowest SES and 5 being the highest. (Source: American Community Survey, 2008-2012.)Spatial extent: CaliforniaSpatial Unit: MSSACreated: n/aUpdated: n/aSource: California Health MapsContact Email: gbacr@ucsf.eduSource Link: https://www.californiahealthmaps.org/?areatype=mssa&address=&sex=Both&site=AllSite&race=&year=05yr&overlays=none&choropleth=Obesity

  4. p

    Trends in Two or More Races Student Percentage (2019-2023): Ednovate - Usc...

    • publicschoolreview.com
    Updated Jul 15, 2025
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    Public School Review (2025). Trends in Two or More Races Student Percentage (2019-2023): Ednovate - Usc College Prep Pico-un Westlake Campus vs. California vs. Los Angeles Unified School District [Dataset]. https://www.publicschoolreview.com/ednovate-usc-college-prep-pico-un-westlake-campus-profile
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    Dataset updated
    Jul 15, 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
    Los Angeles Unified School District, California
    Description

    This dataset tracks annual two or more races student percentage from 2019 to 2023 for Ednovate - Usc College Prep Pico-un Westlake Campus vs. California and Los Angeles Unified School District

  5. p

    Thirty-second Street Usc Performing Arts

    • publicschoolreview.com
    json, xml
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    Public School Review, Thirty-second Street Usc Performing Arts [Dataset]. https://www.publicschoolreview.com/thirty-second-street-usc-performing-arts-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, 1989 - Dec 31, 2025
    Area covered
    West 32nd Street
    Description

    Historical Dataset of Thirty-second Street Usc Performing Arts is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1990-2022),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1991-2022),American Indian Student Percentage Comparison Over Years (1989-2020),Asian Student Percentage Comparison Over Years (1992-2022),Hispanic Student Percentage Comparison Over Years (1992-2022),Black Student Percentage Comparison Over Years (1992-2022),White Student Percentage Comparison Over Years (1992-2022),Two or More Races Student Percentage Comparison Over Years (2015-2022),Diversity Score Comparison Over Years (1992-2022),Free Lunch Eligibility Comparison Over Years (1992-2022),Reduced-Price Lunch Eligibility Comparison Over Years (2001-2022),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Overall School Rank Trends Over Years (2010-2022),Graduation Rate Comparison Over Years (2012-2022)

  6. g

    Census of Population and Housing, 2000 [United States]: Public Law (P.L.)...

    • search.gesis.org
    Updated May 1, 2021
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    United States Department of Commerce. Bureau of the Census (2021). Census of Population and Housing, 2000 [United States]: Public Law (P.L.) 94-171 Adjusted Data - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR13400
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    Dataset updated
    May 1, 2021
    Dataset provided by
    GESIS search
    ICPSR - Interuniversity Consortium for Political and Social Research
    Authors
    United States Department of Commerce. Bureau of the Census
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de446347https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de446347

    Area covered
    United States
    Description

    Abstract (en): The numbers contained in this study are released pursuant to the order of the United States Court of Appeals for the Ninth Circuit in Carter v. Department of Commerce, 307 F.3d 1084. These numbers are not official Census 2000 counts. These numbers are estimates of the population based on a statistical adjustment method, utilizing sampling and modeling, applied to the official Census 2000 figures. The estimates utilized the results of the Accuracy and Coverage Evaluation (A.C.E.), a sample survey intended to measure net over- and undercounts in the census results. The Census Bureau has determined that the A.C.E. estimates dramatically overstate the level of undercoverage in Census 2000, and that the adjusted Census 2000 data are, therefore, not more accurate than the unadjusted data. On March 6, 2001, the Secretary of Commerce decided that unadjusted data from Census 2000 should be used to tabulate population counts reported to states and localities pursuant to 13 U.S.C. 141(c) (see 66 FR 14520, March 13, 2001). The Secretary's decision endorsed the unanimous recommendation of the Executive Steering Committee for A.C.E. Policy (ESCAP), a group of 12 senior career professionals within the Census Bureau. The ESCAP, in its recommendation against the use of the statistically adjusted estimates, had noted serious reservations regarding their accuracy. In order to inform the Census Bureau's planned October 2001 decision regarding the potential use of the adjusted estimates for non-redistricting purposes, the agency conducted extensive analyses throughout the summer of 2001. These extensive analyses confirmed the serious concerns the agency had noted earlier regarding the accuracy of the A.C.E. estimates. Specifically, the adjusted estimates were determined to be so severely flawed that all potential uses of these data would be inappropriate. Accordingly, the Department of Commerce deems that these estimates should not be used for any purpose that legally requires use of data from the decennial census and assumes no responsibility for the accuracy of the data for any purpose whatsoever. The Department, including the U.S. Census Bureau, will provide no assistance in the interpretation or use of these numbers. The collection contains four tables: (1) a count of all persons by race (Table PL1), (2) a count of Hispanic or Latino and a count of not Hispanic or Latino by race of all persons (Table PL2), (3) a count of the population 18 years and older by race (Table PL3), and (4) a count of Hispanic or Latino and a count of not Hispanic or Latino by race for the population 18 years and older (Table PL4). ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.. All persons and housing units in the United States in 2000. 2013-05-24 Multiple Census data file segments were repackaged for distribution into a single zip archive per dataset. No changes were made to the data or documentation.2006-01-12 All files were removed from dataset 90 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 86 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 84 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 83 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 81 and flagged as study-level files, so that they will accompany all downloads.2004-08-26 All the data definition statements (Parts 83, 84, and 90) were replaced because of errors. The codebook was replaced with an updated one from the Bureau of the Census. The data are provided in three segments (files) per state: the Geographic Header, Tables PL1 and PL2, and Tables PL3 and PL4. The Geographic Header segments are fixed-format ASCII text files, while the Table segments are comma-delimited ASCII files. The Geographic Header has 80 variables and the Table segments have 149 variables each, for a total of 378 variables when the segments a...

  7. f

    Association between Usual Source of Care (USC) and access to care: 2005 vs....

    • figshare.com
    xls
    Updated Jun 21, 2023
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    De-Chih Lee; Leiyu Shi; Jing Wang; Gang Sun (2023). Association between Usual Source of Care (USC) and access to care: 2005 vs. 2015. [Dataset]. http://doi.org/10.1371/journal.pone.0278015.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    De-Chih Lee; Leiyu Shi; Jing Wang; Gang Sun
    License

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

    Description

    Association between Usual Source of Care (USC) and access to care: 2005 vs. 2015.

  8. a

    5 year Male Colorectal Cancer Incidence MSSA

    • uscssi.hub.arcgis.com
    • usc-geohealth-hub-uscssi.hub.arcgis.com
    Updated Nov 12, 2021
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    Spatial Sciences Institute (2021). 5 year Male Colorectal Cancer Incidence MSSA [Dataset]. https://uscssi.hub.arcgis.com/maps/USCSSI::5-year-male-colorectal-cancer-incidence-mssa
    Explore at:
    Dataset updated
    Nov 12, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    Medical Service Study Areas (MSSAs)As defined by California's Office of Statewide Health Planning and Development (OSHPD) in 2013, "MSSAs are sub-city and sub-county geographical units used to organize and display population, demographic and physician data" (Source). Each census tract in CA is assigned to a given MSSA. The most recent MSSA dataset (2014) was used. Spatial data are available via OSHPD at the California Open Data Portal. This information may be useful in studying health equity.Age-Adjusted Incidence Rate (AAIR)Age-adjustment is a statistical method that allows comparisons of incidence rates to be made between populations with different age distributions. This is important since the incidence of most cancers increases with age. An age-adjusted cancer incidence (or death) rate is defined as the number of new cancers (or deaths) per 100,000 population that would occur in a certain period of time if that population had a 'standard' age distribution. In the California Health Maps, incidence rates are age-adjusted using the U.S. 2000 Standard Population.Cancer incidence ratesIncidence rates were calculated using case counts from the California Cancer Registry. Population data from 2010 Census and SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators. Yearly SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators for 5-year incidence rates (2013-2017)According to California Department of Public Health guidelines, cancer incidence rates cannot be reported if based on <15 cancer cases and/or a population <10,000 to ensure confidentiality and stable statistical rates.Spatial extent: CaliforniaSpatial Unit: MSSACreated: n/aUpdated: n/aSource: California Health MapsContact Email: gbacr@ucsf.eduSource Link: https://www.californiahealthmaps.org/?areatype=mssa&address=&sex=Both&site=AllSite&race=&year=05yr&overlays=none&choropleth=Obesity

  9. f

    Demographics of Patients Harboring Meningiomas.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jan 22, 2013
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    Chen, Thomas C.; Zada, Gabriel; He, Shuhan; Mack, William J.; Gao, Fan; Shi, Lingling; Russin, Jonathan; Wang, Kai; Chang, Xiao; Zeng, Liyun; Weisenberger, Daniel J.; Giannotta, Steven L. (2013). Demographics of Patients Harboring Meningiomas. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001710424
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    Dataset updated
    Jan 22, 2013
    Authors
    Chen, Thomas C.; Zada, Gabriel; He, Shuhan; Mack, William J.; Gao, Fan; Shi, Lingling; Russin, Jonathan; Wang, Kai; Chang, Xiao; Zeng, Liyun; Weisenberger, Daniel J.; Giannotta, Steven L.
    Description

    Sample ID: Refers to sample number for analysis.Age: Age at the time of surgery when the sample was obtained.Hospital: LAC = LA County; KH = Keck Hospital of USC.Race: C = Caucasian; H = Hispanic, A = Asian.Chemo/Radiation: Refers to whether the patient received chemotherapy or radiation prior to surgery to obtain the specimen.Methylation: Included in methylation analysis.Gene Expression: Included in gene expression analysis.

  10. p

    Ednovate - Usc Hybrid High College Prep School District

    • publicschoolreview.com
    json, xml
    + more versions
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    Public School Review, Ednovate - Usc Hybrid High College Prep School District [Dataset]. https://www.publicschoolreview.com/california/ednovate-usc-hybrid-high-college-prep-school-district/602345-school-district
    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, 2019 - Dec 31, 2025
    Description

    Historical Dataset of Ednovate - Usc Hybrid High College Prep School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Overall School District Rank Trends,Asian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2019-2023),Black Student Percentage Comparison Over Years (2019-2023),White Student Percentage Comparison Over Years (2019-2023),Two or More Races Student Percentage Comparison Over Years (2019-2020),Comparison of Students By Grade Trends

  11. f

    Logistic regression on Usual Source of Care (USC) by access to care: 2005...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    De-Chih Lee; Leiyu Shi; Jing Wang; Gang Sun (2023). Logistic regression on Usual Source of Care (USC) by access to care: 2005 vs. 2015. [Dataset]. http://doi.org/10.1371/journal.pone.0278015.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    De-Chih Lee; Leiyu Shi; Jing Wang; Gang Sun
    License

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

    Description

    Logistic regression on Usual Source of Care (USC) by access to care: 2005 vs. 2015.

  12. a

    5 year Male Kidney Cancer Incidence MSSA

    • usc-geohealth-hub-uscssi.hub.arcgis.com
    Updated Nov 12, 2021
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    Spatial Sciences Institute (2021). 5 year Male Kidney Cancer Incidence MSSA [Dataset]. https://usc-geohealth-hub-uscssi.hub.arcgis.com/datasets/USCSSI::5-year-male-kidney-cancer-incidence-mssa/explore
    Explore at:
    Dataset updated
    Nov 12, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    Medical Service Study Areas (MSSAs)As defined by California's Office of Statewide Health Planning and Development (OSHPD) in 2013, "MSSAs are sub-city and sub-county geographical units used to organize and display population, demographic and physician data" (Source). Each census tract in CA is assigned to a given MSSA. The most recent MSSA dataset (2014) was used. Spatial data are available via OSHPD at the California Open Data Portal. This information may be useful in studying health equity.Age-Adjusted Incidence Rate (AAIR)Age-adjustment is a statistical method that allows comparisons of incidence rates to be made between populations with different age distributions. This is important since the incidence of most cancers increases with age. An age-adjusted cancer incidence (or death) rate is defined as the number of new cancers (or deaths) per 100,000 population that would occur in a certain period of time if that population had a 'standard' age distribution. In the California Health Maps, incidence rates are age-adjusted using the U.S. 2000 Standard Population.Cancer incidence ratesIncidence rates were calculated using case counts from the California Cancer Registry. Population data from 2010 Census and SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators. Yearly SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators for 5-year incidence rates (2013-2017)According to California Department of Public Health guidelines, cancer incidence rates cannot be reported if based on <15 cancer cases and/or a population <10,000 to ensure confidentiality and stable statistical rates.Spatial extent: CaliforniaSpatial Unit: MSSACreated: n/aUpdated: n/aSource: California Health MapsContact Email: gbacr@ucsf.eduSource Link: https://www.californiahealthmaps.org/?areatype=mssa&address=&sex=Both&site=AllSite&race=&year=05yr&overlays=none&choropleth=Obesity

  13. a

    5 year Female Kidney Cancer Incidence MSSA

    • usc-geohealth-hub-uscssi.hub.arcgis.com
    Updated Nov 12, 2021
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    Spatial Sciences Institute (2021). 5 year Female Kidney Cancer Incidence MSSA [Dataset]. https://usc-geohealth-hub-uscssi.hub.arcgis.com/datasets/USCSSI::5-year-female-kidney-cancer-incidence-mssa
    Explore at:
    Dataset updated
    Nov 12, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    Medical Service Study Areas (MSSAs)As defined by California's Office of Statewide Health Planning and Development (OSHPD) in 2013, "MSSAs are sub-city and sub-county geographical units used to organize and display population, demographic and physician data" (Source). Each census tract in CA is assigned to a given MSSA. The most recent MSSA dataset (2014) was used. Spatial data are available via OSHPD at the California Open Data Portal. This information may be useful in studying health equity.Age-Adjusted Incidence Rate (AAIR)Age-adjustment is a statistical method that allows comparisons of incidence rates to be made between populations with different age distributions. This is important since the incidence of most cancers increases with age. An age-adjusted cancer incidence (or death) rate is defined as the number of new cancers (or deaths) per 100,000 population that would occur in a certain period of time if that population had a 'standard' age distribution. In the California Health Maps, incidence rates are age-adjusted using the U.S. 2000 Standard Population.Cancer incidence ratesIncidence rates were calculated using case counts from the California Cancer Registry. Population data from 2010 Census and SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators. Yearly SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators for 5-year incidence rates (2013-2017)According to California Department of Public Health guidelines, cancer incidence rates cannot be reported if based on <15 cancer cases and/or a population <10,000 to ensure confidentiality and stable statistical rates.Spatial extent: CaliforniaSpatial Unit: MSSACreated: n/aUpdated: n/aSource: California Health MapsContact Email: gbacr@ucsf.eduSource Link: https://www.californiahealthmaps.org/?areatype=mssa&address=&sex=Both&site=AllSite&race=&year=05yr&overlays=none&choropleth=Obesity

  14. p

    Ednovate - Usc College Prep Pico-un Westlake Campus

    • publicschoolreview.com
    json, xml
    Updated Jul 15, 2025
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    Public School Review (2025). Ednovate - Usc College Prep Pico-un Westlake Campus [Dataset]. https://www.publicschoolreview.com/ednovate-usc-college-prep-pico-un-westlake-campus-profile
    Explore at:
    json, xmlAvailable download formats
    Dataset updated
    Jul 15, 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, 2019 - Dec 31, 2023
    Description

    Historical Dataset of Ednovate - Usc College Prep Pico-un Westlake Campus is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2019-2023),Total Classroom Teachers Trends Over Years (2019-2023),Student-Teacher Ratio Comparison Over Years (2019-2023),Asian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2019-2023),Black Student Percentage Comparison Over Years (2019-2023),White Student Percentage Comparison Over Years (2019-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2019-2023),Free Lunch Eligibility Comparison Over Years (2019-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2019-2023)

  15. p

    Trends in Hispanic Student Percentage (2019-2023): Ednovate - Usc Hybrid...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Hispanic Student Percentage (2019-2023): Ednovate - Usc Hybrid High College Prep vs. California vs. Ednovate - Usc Hybrid High College Prep School District [Dataset]. https://www.publicschoolreview.com/ednovate-usc-hybrid-high-college-prep-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

    Description

    This dataset tracks annual hispanic student percentage from 2019 to 2023 for Ednovate - Usc Hybrid High College Prep vs. California and Ednovate - Usc Hybrid High College Prep School District

  16. a

    5 Year Female Cancer Incidence MSSA

    • usc-geohealth-hub-uscssi.hub.arcgis.com
    Updated Nov 10, 2021
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    Spatial Sciences Institute (2021). 5 Year Female Cancer Incidence MSSA [Dataset]. https://usc-geohealth-hub-uscssi.hub.arcgis.com/datasets/5-year-female-cancer-incidence-mssa
    Explore at:
    Dataset updated
    Nov 10, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    Medical Service Study Areas (MSSAs)As defined by California's Office of Statewide Health Planning and Development (OSHPD) in 2013, "MSSAs are sub-city and sub-county geographical units used to organize and display population, demographic and physician data" (Source). Each census tract in CA is assigned to a given MSSA. The most recent MSSA dataset (2014) was used. Spatial data are available via OSHPD at the California Open Data Portal. This information may be useful in studying health equity.Age-Adjusted Incidence Rate (AAIR)Age-adjustment is a statistical method that allows comparisons of incidence rates to be made between populations with different age distributions. This is important since the incidence of most cancers increases with age. An age-adjusted cancer incidence (or death) rate is defined as the number of new cancers (or deaths) per 100,000 population that would occur in a certain period of time if that population had a 'standard' age distribution. In the California Health Maps, incidence rates are age-adjusted using the U.S. 2000 Standard Population.

    Cancer incidence rates

    Incidence rates were calculated using case counts from the California Cancer Registry. Population data from 2010 Census and SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators. Yearly SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators for 5-year incidence rates (2013-2017)According to California Department of Public Health guidelines, cancer incidence rates cannot be reported if based on <15 cancer cases and/or a population <10,000 to ensure confidentiality and stable statistical rates.Spatial extent: CaliforniaSpatial Unit: MSSACreated: n/aUpdated: n/aSource: California Health MapsContact Email: gbacr@ucsf.eduSource Link: https://www.californiahealthmaps.org/?areatype=mssa&address=&sex=Both&site=AllSite&race=&year=05yr&overlays=none&choropleth=Obesity

  17. p

    Trends in Black Student Percentage (2019-2023): Ednovate - Usc Hybrid High...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Black Student Percentage (2019-2023): Ednovate - Usc Hybrid High College Prep vs. California vs. Ednovate - Usc Hybrid High College Prep School District [Dataset]. https://www.publicschoolreview.com/ednovate-usc-hybrid-high-college-prep-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

    Description

    This dataset tracks annual black student percentage from 2019 to 2023 for Ednovate - Usc Hybrid High College Prep vs. California and Ednovate - Usc Hybrid High College Prep School District

  18. p

    Trends in White Student Percentage (2019-2023): Ednovate - Usc Hybrid High...

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    Public School Review, Trends in White Student Percentage (2019-2023): Ednovate - Usc Hybrid High College Prep vs. California vs. Ednovate - Usc Hybrid High College Prep School District [Dataset]. https://www.publicschoolreview.com/ednovate-usc-hybrid-high-college-prep-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

    Description

    This dataset tracks annual white student percentage from 2019 to 2023 for Ednovate - Usc Hybrid High College Prep vs. California and Ednovate - Usc Hybrid High College Prep School District

  19. p

    Trends in Asian Student Percentage (2019-2023): Ednovate - Usc Hybrid High...

    • publicschoolreview.com
    + more versions
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    Public School Review, Trends in Asian Student Percentage (2019-2023): Ednovate - Usc Hybrid High College Prep vs. California vs. Ednovate - Usc Hybrid High College Prep School District [Dataset]. https://www.publicschoolreview.com/ednovate-usc-hybrid-high-college-prep-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

    Description

    This dataset tracks annual asian student percentage from 2019 to 2023 for Ednovate - Usc Hybrid High College Prep vs. California and Ednovate - Usc Hybrid High College Prep School District

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Public School Review, Trends in Two or More Races Student Percentage (2019-2020): Ednovate - Usc Hybrid High College Prep vs. California vs. Ednovate - Usc Hybrid High College Prep School District [Dataset]. https://www.publicschoolreview.com/ednovate-usc-hybrid-high-college-prep-profile

Trends in Two or More Races Student Percentage (2019-2020): Ednovate - Usc Hybrid High College Prep vs. California vs. Ednovate - Usc Hybrid High College Prep School District

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

Description

This dataset tracks annual two or more races student percentage from 2019 to 2020 for Ednovate - Usc Hybrid High College Prep vs. California and Ednovate - Usc Hybrid High College Prep School District

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