26 datasets found
  1. Global Gender Gap score for wage equality Singapore 2014-2023

    • statista.com
    Updated May 29, 2024
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    Statista (2024). Global Gender Gap score for wage equality Singapore 2014-2023 [Dataset]. https://www.statista.com/statistics/972978/global-gender-gap-score-wage-equality-singapore/
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    Dataset updated
    May 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Singapore
    Description

    The Global Gender Gap index score for wage equality for similar work in Singapore in 2023 was 0.78, with a score of 1 being absolute parity and a score of 0 being absolute imparity. Singapore has the third-smallest gender gap in South-east Asia, behind the Philippines and Laos. Nonetheless, gender equality in Singapore is still higher than other Asian countries such as Thailand and Japan.

  2. Distribution household monthly income Singapore 2020, by income level

    • statista.com
    Updated Aug 16, 2024
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    Statista (2024). Distribution household monthly income Singapore 2020, by income level [Dataset]. https://www.statista.com/statistics/1375257/singapore-household-income-distribution-by-level/
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    Dataset updated
    Aug 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Singapore
    Description

    In 2020, 16.01 percent of resident employed households had a monthly income of 20 thousand Singapore dollars and over. In comparison, only 2.27 percent of households had a monthly income of less than one thousand Singapore dollars.

  3. Gini index worldwide 2024, by country

    • statista.com
    Updated Mar 10, 2025
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    Statista (2025). Gini index worldwide 2024, by country [Dataset]. https://www.statista.com/forecasts/1171540/gini-index-by-country
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    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2024 - Dec 31, 2024
    Area covered
    Albania
    Description

    Comparing the 130 selected regions regarding the gini index , South Africa is leading the ranking (0.63 points) and is followed by Namibia with 0.58 points. At the other end of the spectrum is Slovakia with 0.23 points, indicating a difference of 0.4 points to South Africa. The Gini coefficient here measures the degree of income inequality on a scale from 0 (=total equality of incomes) to one (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

  4. f

    The correlation matrix.

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
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    Ngoc Bui Hoang (2024). The correlation matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0301628.t003
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    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Ngoc Bui Hoang
    License

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

    Description

    Income inequality is an essential cause of violence, stagnant development, and political instability. This study will examine the positive and negative shocks in tourism development, and the distribution of the interaction between tourism development, economic growth, human capital, globalization, and income inequality will be discussed in Singapore, a developed and top-visited country. By adopting autoregressive distributed lag and non-linear autoregressive distributed lag approaches for panel data from 1978 to 2022, the results indicate an asymmetric cointegration among variables, and positive and negative changes in tourism development lead to decreased income inequality. More specifically, the asymmetric effect of tourism is found both in the short- and long-term, and positive shock has a greater impact than negative shock. At the same time, the findings also reveal that economic growth and globalization enhance, while human capital negatively affects income inequality in Singapore. These findings strengthen the belief of Singapore policy-makers and recommend several significant lessons for developing countries to promote tourism, sustainable development, and reduce income inequality.

  5. Gini coefficient after taxes Singapore 2014-2023

    • statista.com
    Updated Aug 2, 2024
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    Statista (2024). Gini coefficient after taxes Singapore 2014-2023 [Dataset]. https://www.statista.com/statistics/951976/singapore-gini-coefficient-after-tax/
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    Dataset updated
    Aug 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Singapore
    Description

    In 2023, the Gini coefficient after taxes amounted to 0.35 in Singapore. During the time surveyed, the Gini coefficient was highest in 2014, with an index score of 0.39. Since then, it has decreased in 2016, 2016 and 2020.

  6. Distribution of Monthly Household Expenditure Among Resident Households by...

    • data.gov.sg
    Updated Oct 27, 2024
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    Singapore Department of Statistics (2024). Distribution of Monthly Household Expenditure Among Resident Households by Type of Goods and Services (Detailed) and Income Quintile (Household Expenditure Survey 2007/08) [Dataset]. https://data.gov.sg/datasets/d_f2e7430cf4ffa69d396eb238755d0c3d/view
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    Dataset updated
    Oct 27, 2024
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_f2e7430cf4ffa69d396eb238755d0c3d/view

  7. Distribution of Monthly Household Expenditure Among Resident Households by...

    • data.gov.sg
    Updated Nov 8, 2024
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    Singapore Department of Statistics (2024). Distribution of Monthly Household Expenditure Among Resident Households by Type of Goods and Services (Detailed) and Income Quintile (Household Expenditure Survey 2017/18) [Dataset]. https://data.gov.sg/datasets/d_bc3c508226998e3aa6f0205349608b61/view
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    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_bc3c508226998e3aa6f0205349608b61/view

  8. Singapore Distribution of Monthly Household Expenditure: Recreation &...

    • ceicdata.com
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    CEICdata.com, Singapore Distribution of Monthly Household Expenditure: Recreation & Culture [Dataset]. https://www.ceicdata.com/en/singapore/distribution-of-monthly-household-expenditure-by-type-of-goods-and-services/distribution-of-monthly-household-expenditure-recreation--culture
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2003 - Dec 1, 2013
    Area covered
    Singapore
    Variables measured
    Household Income and Expenditure Survey
    Description

    Singapore Distribution of Monthly Household Expenditure: Recreation & Culture data was reported at 6.900 % in 2013. This records a decrease from the previous number of 8.600 % for 2008. Singapore Distribution of Monthly Household Expenditure: Recreation & Culture data is updated yearly, averaging 8.600 % from Dec 2003 (Median) to 2013, with 3 observations. The data reached an all-time high of 11.800 % in 2003 and a record low of 6.900 % in 2013. Singapore Distribution of Monthly Household Expenditure: Recreation & Culture data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.H050: Distribution of Monthly Household Expenditure: By Type of Goods and Services.

  9. Distribution of gross domestic product (GDP) across economic sectors...

    • statista.com
    • ai-chatbox.pro
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    Statista, Distribution of gross domestic product (GDP) across economic sectors Singapore 2023 [Dataset]. https://www.statista.com/statistics/378575/singapore-gdp-distribution-across-economic-sectors/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Singapore
    Description

    This statistic shows the distribution of the gross domestic product (GDP) across economic sectors in Singapore from 2013 to 2023. In 2023, agriculture contributed around 0.03 percent to the GDP of Singapore, 22.4 percent came from the industry and 72.45 percent from the services sector.

  10. Global Gender Gap score in economic participation Singapore 2014-2023

    • statista.com
    Updated May 29, 2024
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    Statista (2024). Global Gender Gap score in economic participation Singapore 2014-2023 [Dataset]. https://www.statista.com/statistics/972926/global-gender-gap-score-economic-participation-singapore/
    Explore at:
    Dataset updated
    May 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Singapore
    Description

    The Global Gender Gap index score for economic participation and opportunity in Singapore in 2023 was 0.77, with a score of 1 being absolute parity and a score of 0 being absolute imparity. Singapore has the third-smallest gender gap in South-east Asia, behind the Philippines and Laos. Nonetheless, gender equality in Singapore is still higher than other Asian countries such as Thailand and Japan.

  11. Distribution of Monthly Household Expenditure Among Resident Households by...

    • data.gov.sg
    Updated Oct 27, 2024
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    Singapore Department of Statistics (2024). Distribution of Monthly Household Expenditure Among Resident Households by Type of Goods and Services and Age Group of Main Income Earner (Household Expenditure Survey 2007/08) [Dataset]. https://data.gov.sg/datasets/d_6d802286fbdc8afdb269671b0bcfb1e7/view
    Explore at:
    Dataset updated
    Oct 27, 2024
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_6d802286fbdc8afdb269671b0bcfb1e7/view

  12. M

    Life Insurance Distribution Channels in Singapore Market By Key Players...

    • marketresearchstore.com
    pdf
    Updated Jun 7, 2025
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    Market Research Store (2025). Life Insurance Distribution Channels in Singapore Market By Key Players (NTUC Income Insurance Co-operative Ltd, AXA, Manulife Pte. Ltd., HSBC Insurance Pte. Ltd); Global Report by Size, Share, Industry Analysis, Growth Trends, Regional Outlook, and Forecast 2024-2032 [Dataset]. https://www.marketresearchstore.com/market-insights/life-insurance-distribution-channels-in-singapore-market-823731
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    pdfAvailable download formats
    Dataset updated
    Jun 7, 2025
    Dataset authored and provided by
    Market Research Store
    License

    https://www.marketresearchstore.com/privacy-statementhttps://www.marketresearchstore.com/privacy-statement

    Time period covered
    2022 - 2030
    Area covered
    Global, Singapore
    Description

    [Keywords] Market include AXA, HSBC Insurance Pte. Ltd, NTUC Income Insurance Co-operative Ltd, Prudential Assurance Co. Singapore (Pte) Ltd., Aviva LTD

  13. Singapore Distribution of Monthly Household Expenditure: Housing & Related...

    • ceicdata.com
    Updated Jul 15, 2020
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    CEICdata.com (2020). Singapore Distribution of Monthly Household Expenditure: Housing & Related Exp [Dataset]. https://www.ceicdata.com/en/singapore/distribution-of-monthly-household-expenditure-by-type-of-goods-and-services/distribution-of-monthly-household-expenditure-housing--related-exp
    Explore at:
    Dataset updated
    Jul 15, 2020
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2003 - Dec 1, 2013
    Area covered
    Singapore
    Variables measured
    Household Income and Expenditure Survey
    Description

    Singapore Distribution of Monthly Household Expenditure: Housing & Related Exp data was reported at 30.100 % in 2013. This records an increase from the previous number of 26.400 % for 2008. Singapore Distribution of Monthly Household Expenditure: Housing & Related Exp data is updated yearly, averaging 26.400 % from Dec 2003 (Median) to 2013, with 3 observations. The data reached an all-time high of 30.100 % in 2013 and a record low of 24.200 % in 2003. Singapore Distribution of Monthly Household Expenditure: Housing & Related Exp data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.H050: Distribution of Monthly Household Expenditure: By Type of Goods and Services.

  14. Distribution of Monthly Household Expenditure Among Resident Households by...

    • data.gov.sg
    Updated Oct 26, 2024
    + more versions
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    Singapore Department of Statistics (2024). Distribution of Monthly Household Expenditure Among Resident Households by Type of Goods and Services and Highest Qualification Attained of Main Income Earner (Household Expenditure Survey 2012/13) [Dataset]. https://data.gov.sg/datasets/d_3e6dcab03a0353fed60af1925d8b0b86/view
    Explore at:
    Dataset updated
    Oct 26, 2024
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_3e6dcab03a0353fed60af1925d8b0b86/view

  15. Distribution of Monthly Household Expenditure Among Resident Households by...

    • data.gov.sg
    Updated Oct 27, 2024
    + more versions
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    Singapore Department of Statistics (2024). Distribution of Monthly Household Expenditure Among Resident Households by Type of Goods and Services (Detailed) and Income Quintile (Household Expenditure Survey 2012/13) [Dataset]. https://data.gov.sg/datasets/d_9dd691e89417eb7f0b292f4aa58e4220/view
    Explore at:
    Dataset updated
    Oct 27, 2024
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_9dd691e89417eb7f0b292f4aa58e4220/view

  16. Respondents' opinion on the treatment of the poor in Singapore 2019

    • statista.com
    Updated May 29, 2024
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    Statista (2024). Respondents' opinion on the treatment of the poor in Singapore 2019 [Dataset]. https://www.statista.com/statistics/1082288/singapore-treatment-of-the-poor/
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    Dataset updated
    May 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2019
    Area covered
    Singapore
    Description

    In 2019, 53 percent of respondents shared that the treatment of the less well off is quite acceptable in Singapore. 38 percent found that the treatment of the poor in the country is quite and very unacceptable. Other social behaviors brought up in the survey include driving habits, respect for one's environment and interaction of Singaporeans with domestic workers.

  17. Number of millionaires Singapore 2016-2026

    • statista.com
    Updated May 29, 2024
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    Statista (2024). Number of millionaires Singapore 2016-2026 [Dataset]. https://www.statista.com/statistics/785044/singapore-number-of-millionaires/
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    Dataset updated
    May 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Singapore
    Description

    The millionaire population in Singapore stood at around 526.4 thousand in 2021 and is projected to increase to about 592 thousand in 2026. This estimated growth in the millionaire population reflects the trend of increasing household wealth in Singapore, which grew by more than 146 percent since 2000.

    Millionaire’s playground
    In 2022, the Economist Intelligence Unit ranked Singapore as the world’s most expensive city alongside Hong Kong and Paris. The high cost of living in Singapore is in large part due to the extremely high cost of owning a car, as well as high property and food prices. With the tenth highest average wealth per adult in the world, and relatively low financial inequality, it seems that the residents of Singapore are able to afford life in the city with the third most expensive beer prices in the world.

    Declining wealth in old age
    The reality, however, is far less glamorous. While the median wealth per adult increased in 2019 from 2018, it was still the second-lowest value in the past five years. Many Singaporeans are feeling the pinch, especially the most vulnerable members of society, such as the elderly, who make up the majority of the workforce in jobs such as cleaning. Worryingly, many Singaporeans are also not financially prepared for retirement. This could lead to increasing inequality in the future, with many people unable to afford the lifestyle that they are accustomed to.

  18. Perceived challenges facing Singaporeans 2022

    • statista.com
    Updated May 29, 2024
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    Statista (2024). Perceived challenges facing Singaporeans 2022 [Dataset]. https://www.statista.com/statistics/1341593/singapore-perceived-challenges-facing-society/
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    Dataset updated
    May 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2022
    Area covered
    Singapore
    Description

    A survey conducted in July 2022 in Singapore found that around 23.43 percent of respondents considered poverty and economic inequality to be the greatest challenges they had to face. Among other leading challenges facing the country were employment and the COVID-19 situation.

  19. Singapore Distribution of Monthly Household Expenditure: Communication

    • ceicdata.com
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    CEICdata.com, Singapore Distribution of Monthly Household Expenditure: Communication [Dataset]. https://www.ceicdata.com/en/singapore/distribution-of-monthly-household-expenditure-by-type-of-goods-and-services/distribution-of-monthly-household-expenditure-communication
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2003 - Dec 1, 2013
    Area covered
    Singapore
    Variables measured
    Household Income and Expenditure Survey
    Description

    Singapore Distribution of Monthly Household Expenditure: Communication data was reported at 3.800 % in 2013. This records a decrease from the previous number of 4.700 % for 2008. Singapore Distribution of Monthly Household Expenditure: Communication data is updated yearly, averaging 4.500 % from Dec 2003 (Median) to 2013, with 3 observations. The data reached an all-time high of 4.700 % in 2008 and a record low of 3.800 % in 2013. Singapore Distribution of Monthly Household Expenditure: Communication data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.H050: Distribution of Monthly Household Expenditure: By Type of Goods and Services.

  20. Average monthly earnings per employee in Singapore 2014-2023, by gender

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Average monthly earnings per employee in Singapore 2014-2023, by gender [Dataset]. https://www.statista.com/statistics/959519/singapore-mean-monthly-earnings-per-employee-by-gender/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Singapore
    Description

    In 2023, the mean monthly earnings for a female employee was around 5,700 Singapore dollars, while that for a male employee was about 7,200 Singapore dollars. Although the earnings for both males and females had increased, the gap between the mean monthly employees have not been decreased in the past ten years.

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Statista (2024). Global Gender Gap score for wage equality Singapore 2014-2023 [Dataset]. https://www.statista.com/statistics/972978/global-gender-gap-score-wage-equality-singapore/
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Global Gender Gap score for wage equality Singapore 2014-2023

Explore at:
Dataset updated
May 29, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Singapore
Description

The Global Gender Gap index score for wage equality for similar work in Singapore in 2023 was 0.78, with a score of 1 being absolute parity and a score of 0 being absolute imparity. Singapore has the third-smallest gender gap in South-east Asia, behind the Philippines and Laos. Nonetheless, gender equality in Singapore is still higher than other Asian countries such as Thailand and Japan.

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