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.

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

In 2024, the average monthly household income per household member for the first decile was *** Singapore dollars. In comparison, the average household income for the 10th decile was ****** Singapore dollars.

Acknowledgements

The use and distribution of the data are governed by the Singapore Open Data Licence. More information can be found at < https://data.gov.sg/open-data-licence#acceptance >

Source of the raw data < https://www.tablebuilder.singstat.gov.sg/publicfacing/initApiList.action >

Definition

M1 = Currency in Active Circulation + Private Sector Demand Deposits with Banks M2 = M1 + Quasi-money M3 = M2+ Net Deposits with Non-bank Financial Institutions (NBFIs)

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

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.

According to a survey conducted between July and August 2022 among food delivery riders in Singapore, ** percent of respondents indicated earning a monthly income ranging from ************ to ***** Singapore dollars. In comparison, ** percent of respondents reported a monthly income of over ************** Singapore dollars.

According to a survey conducted among adult Singaporeans in 2025, most of the respondents' total wealth was allocated to cash, savings, and fixed deposits, with **** percent of the total share. In comparison, *** percent of the total wealth was in bonds.

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.

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.

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Singapore Life Annuity Insurance Market Size and Trends

The Singapore life annuity insurance market size is forecast to increase by USD 603.3 million, at a CAGR of 3.4% between 2023 and 2028. The market is experiencing significant growth due to several key factors. One major trend is the increasing demand for insurance policies that provide financial security during retirement. Fixed annuities, a popular type of life annuity, offer guaranteed income streams and tax advantages, making them an attractive option for individuals seeking to supplement their retirement savings. Agents and brokers play a crucial role in this market, as they help consumers navigate the complexities of annuity products and make informed decisions based on their unique financial situations. Another trend influencing the market is the growing awareness of the need for estate planning and long-term care expenses. Annuities can help address these concerns by providing a steady income stream and potential tax benefits. However, the market also faces challenges, such as the vulnerability of insurers to cybersecurity and the need to balance the desire for high returns with the risk of interest rate fluctuations. Despite these challenges, the market is expected to continue growing as more consumers seek reliable sources of retirement income.

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Life annuity insurance is a financial product that offers retirees a steady income stream during their retirement years. This type of insurance provides death benefits and long-term financial stability, making it an essential component of retirement planning for many individuals. In this article, we will discuss the role of life annuity insurance in securing financial security and explore the technology advancements that are enhancing the underwriting processes of financial institutions. Life annuity insurance is a type of permanent life insurance that provides policyholders with guaranteed income payments for the rest of their lives. There are three main types of life annuities: fixed annuities, variable annuities, and index-linked annuities. Fixed annuities offer a guaranteed rate of return, while variable annuities allow policyholders to invest in various financial instruments, and index-linked annuities offer returns based on the performance of a specific stock market index. The market is witnessing significant technological advancements, with data analytics and artificial intelligence (AI) playing a crucial role in enhancing underwriting processes. AI and machine learning algorithms are being used to analyze vast amounts of data, enabling insurers to assess risk more accurately and offer personalized pricing and product recommendations to policyholders.

Life annuity insurance offers several benefits, including death benefits, tax advantages, and long-term financial stability. Death benefits provide financial security to beneficiaries in the event of the policyholder's demise. Tax advantages, such as tax-free income and tax deferral, make life annuities an attractive option for wealthy individuals looking to minimize their tax liability. Additionally, the cash value accumulated in a life annuity can be used to pay for long-term care expenses or as collateral for loans. Life annuity insurance is an essential financial product for retirees seeking long-term financial stability and guaranteed income during retirement. With the advancements in technology, particularly in data analytics and AI, underwriting processes are becoming more efficient and accurate, enabling insurers to offer personalized pricing and product recommendations to policyholders. By understanding the benefits and types of life annuity insurance, individuals can make informed decisions about their retirement planning and secure their financial future.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.

Type

  Life (risk premium)
  Life (coinsurance)
  Accident and health
  Disability income
  Others


Distribution Channel

  Offline
  Online


Geography

  Singapore

By Type Insights

The life (risk premium) segment is estimated to witness significant growth during the forecast period. A life annuity is a contract between an individual and an insurer, where the insurer guarantees regular payments to a designated beneficiary upon the policyholder's death. Premiums may be paid in installments or as a single lump sum. Benefits can extend to cover expenses related to funeral services and other specified events, such as terminal or critical illness. Life insurance contracts are legally binding agreements, outlining the scope of covered events. Tax-related benefits, such as tax-free payouts and exemptions from inheritance and estate taxes, are significan

Total-Other-Income-Expense-Net Time Series for SATS LTD.. SATS Ltd., an investment holding company, provides gateway services and food solutions in Singapore, the Asia Pacific, the Americas, Europe, the Middle East, Africa, and internationally. It operates through three segments: Food Solutions, Gateway Services, and Others. The Food Solutions segment offers inflight and institutional catering, food processing, distribution services, and airline laundry services. The Gateway Services segment provides airport services, which include airfreight handling services, passenger services, aviation security services, baggage handling services, and apron services, as well as cruise terminal services; and manages and operates marine bay cruise center. The Others segment offers rental and other services. The company also provides air cargo handling, travel retail, security, and passenger and private jet services; linen and laundry; training; food services-solution and distribution; and commercial, institutional, and aviation catering services. It serves airline, hospitality, healthcare, food, air transport, cruise, events, education, and government agencies; and airfreight and logistics industries. The company was formerly known as Singapore Airport Terminal Services Limited and changed its name to SATS Ltd. in July 2010. The company was incorporated in 1972 and is headquartered in Singapore.

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).

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.