Historical dataset showing Singapore income inequality - gini coefficient by year from N/A to N/A.

In 2024, the Gini coefficient after taxes amounted to 0.35 in Singapore. During the time surveyed, the Gini coefficient was highest in 2015, with an index score of 0.39. Since then, it has decreased in 2016 and 2020.

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

Comparing the *** selected regions regarding the gini index , South Africa is leading the ranking (**** points) and is followed by Namibia with **** points. At the other end of the spectrum is Slovakia with **** points, indicating a difference of *** points to South Africa. The Gini coefficient here measures the degree of income inequality on a scale from * (=total equality of incomes) to *** (=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 *** 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).

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.

Singapore Distribution of Monthly Household Expenditure: Food&Food Serving Ser data was reported at 20.600 % in 2013. This records a decrease from the previous number of 21.400 % for 2008. Singapore Distribution of Monthly Household Expenditure: Food&Food Serving Ser data is updated yearly, averaging 21.000 % from Dec 2003 (Median) to 2013, with 3 observations. The data reached an all-time high of 21.400 % in 2008 and a record low of 20.600 % in 2013. Singapore Distribution of Monthly Household Expenditure: Food&Food Serving Ser 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.

Singapour: Gini income inequality index: Pour cet indicateur, La Banque mondiale fournit des données pour la Singapour de à . La valeur moyenne pour Singapour pendant cette période était de index points avec un minimum de index points en et un maximum de index points en .

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.

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.

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.

Dataset from Ministry of Culture, Community and Youth. For more information, visit https://data.gov.sg/datasets/d_2fdf410a356b37fe39bdbc3156b7e700/view

The Global Gender Gap index score for economic participation and opportunity in Singapore in 2023 was ****, with a score of * being absolute parity and a score of * 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.

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.

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.

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.

Singapore Distribution of Monthly Household Expenditure: Transport data was reported at 14.100 % in 2013. This records a decrease from the previous number of 15.800 % for 2008. Singapore Distribution of Monthly Household Expenditure: Transport data is updated yearly, averaging 15.800 % from Dec 2003 (Median) to 2013, with 3 observations. The data reached an all-time high of 16.200 % in 2003 and a record low of 14.100 % in 2013. Singapore Distribution of Monthly Household Expenditure: Transport 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.

A survey conducted in July 2022 in Singapore found that around ***** 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.

Singapore Distribution of Monthly Household Expenditure: Others data was reported at 12.000 % in 2013. This records an increase from the previous number of 9.600 % for 2008. Singapore Distribution of Monthly Household Expenditure: Others data is updated yearly, averaging 9.600 % from Dec 2003 (Median) to 2013, with 3 observations. The data reached an all-time high of 12.000 % in 2013 and a record low of 9.300 % in 2003. Singapore Distribution of Monthly Household Expenditure: Others 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.