4 datasets found
  1. Total population of the ASEAN countries from 2020 to 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
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    Statista (2025). Total population of the ASEAN countries from 2020 to 2030 [Dataset]. https://www.statista.com/statistics/796222/total-population-of-the-asean-countries/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2023, the total population of all ASEAN states amounted to an estimated 619.02 million inhabitants. The ASEAN (Association of Southeast Asian Nations) member countries are Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. ASEAN opportunity The Association of Southeast Asian Nations was founded by five states (Thailand, Indonesia, the Philippines, Malaysia, and Singapore) in 1967 to improve economic and political stability and social progress among the member states. It was originally modelled after the European Union. Nowadays, after accepting more members, their agenda also includes an improvement of cultural and environmental conditions. ASEAN is now an important player on the global stage with numerous alliances and business partners, as well as more contenders wanting to join. The major player in the SouthIndonesia is not only a founding member of ASEAN, it is also its biggest contributor in terms of gross domestic product and is also one of the member states with a positive trade balance. In addition, it has the highest number of inhabitants by far. About a third of all people in the ASEAN live in Indonesia – and it is also one of the most populous countries worldwide. Among the ASEAN members, it is certainly the most powerful one, not just in numbers, but mostly due to its stable and thriving economy.

  2. f

    Observed and expected numbers of P-values for the different association...

    • plos.figshare.com
    xls
    Updated Jun 7, 2023
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    Daniel Nilsson; Anand Kumar Andiappan; Christer Halldén; Chew Fook Tim; Torbjörn Säll; De Yun Wang; Lars-Olaf Cardell (2023). Observed and expected numbers of P-values for the different association tests in the Swedish population (n = 1061) and the Singapore Chinese population (n = 1528). [Dataset]. http://doi.org/10.1371/journal.pone.0053975.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Daniel Nilsson; Anand Kumar Andiappan; Christer Halldén; Chew Fook Tim; Torbjörn Säll; De Yun Wang; Lars-Olaf Cardell
    License

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

    Area covered
    Sweden, Singapore
    Description

    Obs/Exp = Observed number of P-values/Expected number of P-values in the absence of effect.Q-values = Observed Q-values calculated according to Storey JD (2002) A direct approach to false discovery rates. J R Stat Soc Series B Stat Methodol 64∶479–498.

  3. f

    Sex differences in associations between multimorbidity and physical function...

    • figshare.com
    pdf
    Updated Jun 1, 2023
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    Lixia Ge; Chun Wei Yap; Bee Hoon Heng (2023). Sex differences in associations between multimorbidity and physical function domains among community-dwelling adults in Singapore [Dataset]. http://doi.org/10.1371/journal.pone.0197443
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lixia Ge; Chun Wei Yap; Bee Hoon Heng
    License

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

    Area covered
    Singapore
    Description

    ObjectivesThe aims of the study were to identify the associations between multimorbidity and specific physical function domains among community-dwelling adults in Singapore, and to examine sex differences in the associations.MethodsThis study was conducted using baseline data of 1,940 participants in the Population Health Index Survey conducted in the Central Region of Singapore from November 2015 to November 2016. Physical function was assessed using the Function Component of the Late-life Function and Disability Instrument and compared between men and women. Multiple linear regressions were conducted to examine associations between multimorbidity and different physical function domains for all participants, and in men and women separately.ResultsThe prevalence of multimorbidity in the study population was 35.0% for adults aged 21 years and above, with no differences between men and women. Multimorbidity was associated with reduced upper extremity function, basic and advanced lower extremity function, and overall function in men and women after adjusting for demographic factors. Multimorbidity had a stronger association with advanced lower extremity function and overall physical function in women than in men.ConclusionsThe findings of this study indicate that multimorbidity is associated with physical function domains in men and women, and in particular advanced lower extremity for women. Effective community-based interventions need to be implemented to preserve physical function in individuals with multimorbidity to keep them functionally independent and physically active in the community. Additional focus on advanced lower extremity function for women is needed.

  4. f

    Demographic characteristics of study population stratified according to...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 2, 2023
    + more versions
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    Neelam Kumari; Joanna Cher; Edwin Chua; Haslina Hamzah; Tien Yin Wong; Carol Y. Cheung (2023). Demographic characteristics of study population stratified according to gender. [Dataset]. http://doi.org/10.1371/journal.pone.0203868.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Neelam Kumari; Joanna Cher; Edwin Chua; Haslina Hamzah; Tien Yin Wong; Carol Y. Cheung
    License

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

    Description

    Demographic characteristics of study population stratified according to gender.

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Click to copy link
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Statista (2025). Total population of the ASEAN countries from 2020 to 2030 [Dataset]. https://www.statista.com/statistics/796222/total-population-of-the-asean-countries/
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Total population of the ASEAN countries from 2020 to 2030

Explore at:
35 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

In 2023, the total population of all ASEAN states amounted to an estimated 619.02 million inhabitants. The ASEAN (Association of Southeast Asian Nations) member countries are Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. ASEAN opportunity The Association of Southeast Asian Nations was founded by five states (Thailand, Indonesia, the Philippines, Malaysia, and Singapore) in 1967 to improve economic and political stability and social progress among the member states. It was originally modelled after the European Union. Nowadays, after accepting more members, their agenda also includes an improvement of cultural and environmental conditions. ASEAN is now an important player on the global stage with numerous alliances and business partners, as well as more contenders wanting to join. The major player in the SouthIndonesia is not only a founding member of ASEAN, it is also its biggest contributor in terms of gross domestic product and is also one of the member states with a positive trade balance. In addition, it has the highest number of inhabitants by far. About a third of all people in the ASEAN live in Indonesia – and it is also one of the most populous countries worldwide. Among the ASEAN members, it is certainly the most powerful one, not just in numbers, but mostly due to its stable and thriving economy.

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