3 datasets found
  1. IPUMS Contextual Determinants of Health (CDOH) Sexual and Gender Minority...

    • icpsr.umich.edu
    Updated Jul 18, 2023
    + more versions
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    Kamp Dush, Claire M.; Manning, Wendy D.; Van Riper, David (2023). IPUMS Contextual Determinants of Health (CDOH) Sexual and Gender Minority Measure: Proportion Identifying as LGBTQ by State, United States, 2021-2022 [Dataset]. http://doi.org/10.3886/ICPSR38853.v1
    Explore at:
    Dataset updated
    Jul 18, 2023
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Kamp Dush, Claire M.; Manning, Wendy D.; Van Riper, David
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38853/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38853/terms

    Time period covered
    2021 - 2022
    Area covered
    United States
    Description

    The IPUMS Contextual Determinants of Health (CDOH) data series includes measures of disparities, policies, and counts, by state or county, for historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women. The IPUMS CDOH data are made available through ICPSR/DSDR for merging with the National Couples' Health and Time Study (NCHAT), United States, 2020-2021 (ICPSR 38417) by approved restricted data researchers. All other researchers can access the IPUMS CDOH data via the IPUMS CDOH website. Unlike other IPUMS products, the CDOH data are organized into multiple categories related to Race and Ethnicity, Sexual and Gender Minority, Gender, and Politics. The CDOH measures were created from a wide variety of data sources (e.g., IPUMS NHGIS, the Census Bureau, the Bureau of Labor Statistics, the Movement Advancement Project, and Myers Abortion Facility Database). Measures are currently available for states or counties from approximately 2015 to 2020. The Sexual and Gender measures in this release include the proportion of a state's population identifying as LGBTQ+ in the U.S. Census Bureau's Household Pulse Survey, Phases 3.2 (07/21/2021-10/11/2021), 3.3 (12/01/2021-02/07/2022), 3.4 (03/02/2022-05/09/2022), and 3.5 (06/01/2022-08/08/2022). To work with the IPUMS CDOH data, researchers will need to first merge the NCHAT data to DS1 (MATCH ID and State FIPS Data). This merged file can then be linked to the IPUMS CDOH datafile (DS2) using the STATEFIPS variable.

  2. a

    Gender Identity by SPA (CHIS 2021)

    • equity-lacounty.hub.arcgis.com
    • geohub.lacity.org
    • +2more
    Updated May 22, 2023
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    County of Los Angeles (2023). Gender Identity by SPA (CHIS 2021) [Dataset]. https://equity-lacounty.hub.arcgis.com/datasets/gender-identity-by-spa-chis-2021
    Explore at:
    Dataset updated
    May 22, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Population and percent identify transgender or gender non-conforming by Service Planning Area (SPA) from California Health Interview Survey (CHIS), 2015-2021 and 2019-2021 pooled years.Symbolized on the Equity Explorer by % Adults Transgender or Gender Non-conforming, years 2015-2021 (field = tgi_adult_pct_2015_2021).

  3. 🦈 Shark Tank India dataset 🇮🇳

    • kaggle.com
    Updated Apr 20, 2025
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    Satya Thirumani (2025). 🦈 Shark Tank India dataset 🇮🇳 [Dataset]. https://www.kaggle.com/datasets/thirumani/shark-tank-india
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 20, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Satya Thirumani
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Shark Tank India Data set.

    Shark Tank India - Season 1 to season 4 information, with 80 fields/columns and 630+ records.

    All seasons/episodes of 🦈 SHARKTANK INDIA 🇮🇳 were broadcasted on SonyLiv OTT/Sony TV.

    Here is the data dictionary for (Indian) Shark Tank season's dataset.

    • Season Number - Season number
    • Startup Name - Company name or product name
    • Episode Number - Episode number within the season
    • Pitch Number - Overall pitch number
    • Season Start - Season first aired date
    • Season End - Season last aired date
    • Original Air Date - Episode original/first aired date, on OTT/TV
    • Episode Title - Episode title in SonyLiv
    • Anchor - Name of the episode presenter/host
    • Industry - Industry name or type
    • Business Description - Business Description
    • Company Website - Company Website URL
    • Started in - Year in which startup was started/incorporated
    • Number of Presenters - Number of presenters
    • Male Presenters - Number of male presenters
    • Female Presenters - Number of female presenters
    • Transgender Presenters - Number of transgender/LGBTQ presenters
    • Couple Presenters - Are presenters wife/husband ? 1-yes, 0-no
    • Pitchers Average Age - All pitchers average age, <30 young, 30-50 middle, >50 old
    • Pitchers City - Presenter's town/city or place where company head office exists
    • Pitchers State - Indian state pitcher hails from or state where company head office exists
    • Yearly Revenue - Yearly revenue, in lakhs INR, -1 means negative revenue, 0 means pre-revenue
    • Monthly Sales - Total monthly sales, in lakhs
    • Gross Margin - Gross margin/profit of company, in percentages
    • Net Margin - Net margin/profit of company, in percentages
    • EBITDA - Earnings Before Interest, Taxes, Depreciation, and Amortization
    • Cash Burn - In loss in current year; burning/paying money from their pocket (yes/no)
    • SKUs - Stock Keeping Units or number of varieties, at the time of pitch
    • Has Patents - Pitcher has Patents/Intellectual property (filed/granted), at the time of pitch
    • Bootstrapped - Startup is bootstrapped or not (yes/no)
    • Part of Match off - Competition between two similar brands, pitched at same time
    • Original Ask Amount - Original Ask Amount, in lakhs INR
    • Original Offered Equity - Original Offered Equity, in percentages
    • Valuation Requested - Valuation Requested, in lakhs INR
    • Received Offer - Received offer or not, 1-received, 0-not received
    • Accepted Offer - Accepted offer or not, 1-accepted, 0-rejected
    • Total Deal Amount - Total Deal Amount, in lakhs INR
    • Total Deal Equity - Total Deal Equity, in percentages
    • Total Deal Debt - Total Deal debt/loan amount, in lakhs INR
    • Debt Interest - Debt interest rate, in percentages
    • Deal Valuation - Deal Valuation, in lakhs INR
    • Number of sharks in deal - Number of sharks involved in deal
    • Deal has conditions - Deal has conditions or not? (yes or no)
    • Royalty Percentage - Royalty percentage, if it's royalty deal
    • Royalty Recouped Amount - Royalty recouped amount, if it's royalty deal, in lakhs
    • Advisory Shares Equity - Deal with Advisory shares or equity, in percentages
    • Namita Investment Amount - Namita Investment Amount, in lakhs INR
    • Namita Investment Equity - Namita Investment Equity, in percentages
    • Namita Debt Amount - Namita Debt Amount, in lakhs INR
    • Vineeta Investment Amount - Vineeta Investment Amount, in lakhs INR
    • Vineeta Investment Equity - Vineeta Investment Equity, in percentages
    • Vineeta Debt Amount - Vineeta Debt Amount, in lakhs INR
    • Anupam Investment Amount - Anupam Investment Amount, in lakhs INR
    • Anupam Investment Equity - Anupam Investment Equity, in percentages
    • Anupam Debt Amount - Anupam Debt Amount, in lakhs INR
    • Aman Investment Amount - Aman Investment Amount, in lakhs INR
    • Aman Investment Equity - Aman Investment Equity, in percentages
    • Aman Debt Amount - Aman Debt Amount, in lakhs INR
    • Peyush Investment Amount - Peyush Investment Amount, in lakhs INR
    • Peyush Investment Equity - Peyush Investment Equity, in percentages
    • Peyush Debt Amount - Peyush Debt Amount, in lakhs INR
    • Ritesh Investment Amount - Ritesh Investment Amount, in lakhs INR
    • Ritesh Investment Equity - Ritesh Investment Equity, in percentages
    • Ritesh Debt Amount - Ritesh Debt Amount, in lakhs INR
    • Amit Investment Amount - Amit Investment Amount, in lakhs INR
    • Amit Investment Equity - Amit Investment Equity, in percentages
    • Amit Debt Amount - Amit Debt Amount, in lakhs INR
    • Guest Investment Amount - Guest Investment Amount, in lakhs INR
    • Guest Investment Equity - Guest Investment Equity, in percentages
    • Guest Debt Amount - Guest Debt Amount, in lakhs INR
    • Invested Guest Name - Name of the guest(s) who invested in deal
    • All Guest Names - Name of all guests, who are present in episode
    • Namita Present - Whether Namita present in episode or not
    • Vineeta Present - Whether Vineeta present in episode or not
    • Anupam ...
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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Kamp Dush, Claire M.; Manning, Wendy D.; Van Riper, David (2023). IPUMS Contextual Determinants of Health (CDOH) Sexual and Gender Minority Measure: Proportion Identifying as LGBTQ by State, United States, 2021-2022 [Dataset]. http://doi.org/10.3886/ICPSR38853.v1
Organization logo

IPUMS Contextual Determinants of Health (CDOH) Sexual and Gender Minority Measure: Proportion Identifying as LGBTQ by State, United States, 2021-2022

Explore at:
Dataset updated
Jul 18, 2023
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
Kamp Dush, Claire M.; Manning, Wendy D.; Van Riper, David
License

https://www.icpsr.umich.edu/web/ICPSR/studies/38853/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38853/terms

Time period covered
2021 - 2022
Area covered
United States
Description

The IPUMS Contextual Determinants of Health (CDOH) data series includes measures of disparities, policies, and counts, by state or county, for historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women. The IPUMS CDOH data are made available through ICPSR/DSDR for merging with the National Couples' Health and Time Study (NCHAT), United States, 2020-2021 (ICPSR 38417) by approved restricted data researchers. All other researchers can access the IPUMS CDOH data via the IPUMS CDOH website. Unlike other IPUMS products, the CDOH data are organized into multiple categories related to Race and Ethnicity, Sexual and Gender Minority, Gender, and Politics. The CDOH measures were created from a wide variety of data sources (e.g., IPUMS NHGIS, the Census Bureau, the Bureau of Labor Statistics, the Movement Advancement Project, and Myers Abortion Facility Database). Measures are currently available for states or counties from approximately 2015 to 2020. The Sexual and Gender measures in this release include the proportion of a state's population identifying as LGBTQ+ in the U.S. Census Bureau's Household Pulse Survey, Phases 3.2 (07/21/2021-10/11/2021), 3.3 (12/01/2021-02/07/2022), 3.4 (03/02/2022-05/09/2022), and 3.5 (06/01/2022-08/08/2022). To work with the IPUMS CDOH data, researchers will need to first merge the NCHAT data to DS1 (MATCH ID and State FIPS Data). This merged file can then be linked to the IPUMS CDOH datafile (DS2) using the STATEFIPS variable.

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