6 datasets found
  1. Population of the Greater Bay Area in China in global comparison 2022

    • statista.com
    Updated Aug 27, 2024
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    Statista (2024). Population of the Greater Bay Area in China in global comparison 2022 [Dataset]. https://www.statista.com/statistics/1174029/china-total-population-of-the-greater-bay-area-in-global-comparison/
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    China
    Description

    In 2022, the total population of the Guangdong - Hong Kong - Macao Greater Bay Area reached around 86.6 million. In terms of population, China's Greater Bay Area was larger than other major Bay Areas in the world. However, per capita GDP was only about half of that in the Tokyo Bay Area and only one seventh of that in the San Francisco Bay Area.

  2. f

    General Information for the East Asian populations included in the analyses

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Hui Li; Sheng Gu; Xiaoyun Cai; William C. Speed; Andrew J. Pakstis; Efim I. Golub; Judith R. Kidd; Kenneth K. Kidd (2023). General Information for the East Asian populations included in the analyses [Dataset]. http://doi.org/10.1371/journal.pone.0001881.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Hui Li; Sheng Gu; Xiaoyun Cai; William C. Speed; Andrew J. Pakstis; Efim I. Golub; Judith R. Kidd; Kenneth K. Kidd
    License

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

    Area covered
    East Asia, Asia
    Description

    Note: *Those populations marked with stars are newly collected, and the triliteral codes are ISO639-3 codes [35]. Others are previously published populations with previously used codes [12]. San Francisco Chinese originally came from Jiangmen County, Guangdong, China; therefore, the location of CHS in the table is that of Jiangmen County.

  3. f

    Demographic characteristics by race ethnicity (N = 109).

    • plos.figshare.com
    xls
    Updated Jun 7, 2023
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    Jonathan Z. Butler; Mariam Carson; Francine Rios-Fetchko; Roberto Vargas; Abby Cabrera; Angela Gallegos-Castillo; Monique LeSarre; Michael Liao; Kent Woo; Randi Ellis; Kirsten Liu; Arun Burra; Mario Ramirez; Brittney Doyle; Lydia Leung; Alicia Fernandez; Kevin Grumbach (2023). Demographic characteristics by race ethnicity (N = 109). [Dataset]. http://doi.org/10.1371/journal.pone.0266397.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jonathan Z. Butler; Mariam Carson; Francine Rios-Fetchko; Roberto Vargas; Abby Cabrera; Angela Gallegos-Castillo; Monique LeSarre; Michael Liao; Kent Woo; Randi Ellis; Kirsten Liu; Arun Burra; Mario Ramirez; Brittney Doyle; Lydia Leung; Alicia Fernandez; Kevin Grumbach
    License

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

    Description

    Demographic characteristics by race ethnicity (N = 109).

  4. Key themes.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Jonathan Z. Butler; Mariam Carson; Francine Rios-Fetchko; Roberto Vargas; Abby Cabrera; Angela Gallegos-Castillo; Monique LeSarre; Michael Liao; Kent Woo; Randi Ellis; Kirsten Liu; Arun Burra; Mario Ramirez; Brittney Doyle; Lydia Leung; Alicia Fernandez; Kevin Grumbach (2023). Key themes. [Dataset]. http://doi.org/10.1371/journal.pone.0266397.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jonathan Z. Butler; Mariam Carson; Francine Rios-Fetchko; Roberto Vargas; Abby Cabrera; Angela Gallegos-Castillo; Monique LeSarre; Michael Liao; Kent Woo; Randi Ellis; Kirsten Liu; Arun Burra; Mario Ramirez; Brittney Doyle; Lydia Leung; Alicia Fernandez; Kevin Grumbach
    License

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

    Description

    Key themes.

  5. g

    Immigration and Intergenerational Mobility in Metropolitan Los Angeles...

    • search.gesis.org
    • icpsr.umich.edu
    • +1more
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    GESIS search, Immigration and Intergenerational Mobility in Metropolitan Los Angeles (IIMMLA), 2004 - Version 1 [Dataset]. http://doi.org/10.3886/ICPSR22627.v1
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    Dataset provided by
    ICPSR - Interuniversity Consortium for Political and Social Research
    GESIS search
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de447498https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de447498

    Area covered
    Greater Los Angeles
    Description

    Abstract (en): IIMMLA was supported by the Russell Sage Foundation. Since 1991, the Russell Sage Foundation has funded a program of research aimed at assessing how well the young adult offspring of recent immigrants are faring as they move through American schools and into the labor market. Two previous major studies have begun to tell us about the paths to incorporation of the children of contemporary immigrants: The Children of Immigrants Longitudinal Study (CILS), and the Immigrant Second Generation in New York study. The Immigration and Intergenerational Mobility in Metropolitan Los Angeles study is the third major initiative analyzing the progress of the new second generation in the United States. The Immigration and Intergenerational Mobility in Metropolitan Los Angeles (IIMMLA) study focused on young adult children of immigrants (1.5- and second-generation) in greater Los Angeles. IIMMLA investigated mobility among young adult (ages 20-39) children of immigrants in metropolitan Los Angeles and, in the case of the Mexican-origin population there, among young adult members of the third- or later generations. The five-county Los Angeles metropolitan area (Los Angeles, Orange, Ventura, Riverside and San Bernardino counties) contains the largest concentrations of Mexicans, Salvadorans, Guatemalans, Filipinos, Chinese, Vietnamese, Koreans, and other nationalities in the United States. The diverse migration histories and modes of incorporation of these groups made the Los Angeles metropolitan area a strategic choice for a comparison study of the pathways of immigrant incorporation and mobility from one generation to the next. The IIMMLA study compared six foreign-born (1.5-generation) and foreign-parentage (second-generation) groups (Mexicans, Vietnamese, Filipinos, Koreans, Chinese, and Central Americans from Guatemala and El Salvador) with three native-born and native-parentage comparison groups (third- or later-generation Mexican Americans, and non-Hispanic Whites and Blacks). The targeted groups represent both the diversity of modes of incorporation in the United States and the range of occupational backgrounds and immigration status among contemporary immigrants (from professionals and entrepreneurs to laborers, refugees, and unauthorized migrants). The surveys provide basic demographic information as well as extensive data about socio-cultural orientation and mobility (e.g., language use, ethnic identity, religion, remittances, intermarriage, experiences of discrimination), economic mobility (e.g., parents' background, respondents' education, first and current job, wealth and income, encounters with the law), geographic mobility (childhood and present neighborhood of residence), and civic engagement and politics (political attitudes, voting behavior, as well as naturalization and transnational ties). 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: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. Young adults aged 20-39 from six foreign-born and foreign-parentage groups: Mexican, Vietnamese, Filipino, Korean, Chinese, and Central American (Guatemalan and Salvadoran), as well as native-born and native-parentage Mexican-Americans, and non-Hispanic Whites and Blacks, in the Los Angeles metropolitan area. Multistage random sampling. 2008-07-01 Edits were made to the metadata record. Funding insitution(s): Russell Sage Foundation. telephone interview Data collection for IIMMLA was subcontracted to and carried out by the Field Research Corporation, San Francisco, CA.

  6. Study implications for vaccine outreach strategies.

    • plos.figshare.com
    xls
    Updated Jun 6, 2023
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    Jonathan Z. Butler; Mariam Carson; Francine Rios-Fetchko; Roberto Vargas; Abby Cabrera; Angela Gallegos-Castillo; Monique LeSarre; Michael Liao; Kent Woo; Randi Ellis; Kirsten Liu; Arun Burra; Mario Ramirez; Brittney Doyle; Lydia Leung; Alicia Fernandez; Kevin Grumbach (2023). Study implications for vaccine outreach strategies. [Dataset]. http://doi.org/10.1371/journal.pone.0266397.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jonathan Z. Butler; Mariam Carson; Francine Rios-Fetchko; Roberto Vargas; Abby Cabrera; Angela Gallegos-Castillo; Monique LeSarre; Michael Liao; Kent Woo; Randi Ellis; Kirsten Liu; Arun Burra; Mario Ramirez; Brittney Doyle; Lydia Leung; Alicia Fernandez; Kevin Grumbach
    License

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

    Description

    Study implications for vaccine outreach strategies.

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Share
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Email
Click to copy link
Link copied
Close
Cite
Statista (2024). Population of the Greater Bay Area in China in global comparison 2022 [Dataset]. https://www.statista.com/statistics/1174029/china-total-population-of-the-greater-bay-area-in-global-comparison/
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Population of the Greater Bay Area in China in global comparison 2022

Explore at:
Dataset updated
Aug 27, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
China
Description

In 2022, the total population of the Guangdong - Hong Kong - Macao Greater Bay Area reached around 86.6 million. In terms of population, China's Greater Bay Area was larger than other major Bay Areas in the world. However, per capita GDP was only about half of that in the Tokyo Bay Area and only one seventh of that in the San Francisco Bay Area.

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