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Singapore Personal Saving Rate: sa data was reported at 35.300 % in Dec 2024. This records an increase from the previous number of 33.500 % for Sep 2024. Singapore Personal Saving Rate: sa data is updated quarterly, averaging 21.400 % from Mar 1980 (Median) to Dec 2024, with 180 observations. The data reached an all-time high of 55.700 % in Jun 2020 and a record low of 6.700 % in Sep 1988. Singapore Personal Saving Rate: sa data remains active status in CEIC and is reported by Singapore Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.A089: Personal Disposable Income and Personal Saving: Current Prices: Seasonally Adjusted.
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Key information about Singapore Gross Savings Rate
In a financial wellness survey conducted in Singapore in 2022, working adults in their twenties reported saving ** percent of their monthly income in cash savings. In comparison, the same survey found that working respondents aged 55 to 65 set aside ** percent of their income.
In 2023, the gross national saving of Singapore amounted to approximately ****** billion Singapore dollars. Gross national saving is derived by deducting final consumption expenditure from gross national disposable income, and consists of personal savings, plus business savings, plus government savings, but excludes foreign savings.
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Singapore Personal Disposable Income: sa data was reported at 90,869.100 SGD mn in Dec 2024. This records an increase from the previous number of 87,914.700 SGD mn for Sep 2024. Singapore Personal Disposable Income: sa data is updated quarterly, averaging 22,072.350 SGD mn from Mar 1980 (Median) to Dec 2024, with 180 observations. The data reached an all-time high of 90,869.100 SGD mn in Dec 2024 and a record low of 3,553.500 SGD mn in Mar 1980. Singapore Personal Disposable Income: sa data remains active status in CEIC and is reported by Singapore Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.A089: Personal Disposable Income and Personal Saving: Current Prices: Seasonally Adjusted.
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Personal Saving Rate:SA在12-01-2024达35.300%,相较于09-01-2024的33.500%有所增长。Personal Saving Rate:SA数据按季更新,03-01-1980至12-01-2024期间平均值为21.400%,共180份观测结果。该数据的历史最高值出现于06-01-2020,达55.700%,而历史最低值则出现于09-01-1988,为6.700%。CEIC提供的Personal Saving Rate:SA数据处于定期更新的状态,数据来源于Singapore Department of Statistics,数据归类于全球数据库的新加坡 – Table SG.A089: Personal Disposable Income and Personal Saving: Current Prices: Seasonally Adjusted。
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Singapore Personal Saving: sa data was reported at 32,462.400 SGD mn in Dec 2024. This records an increase from the previous number of 29,647.800 SGD mn for Sep 2024. Singapore Personal Saving: sa data is updated quarterly, averaging 4,014.500 SGD mn from Mar 1980 (Median) to Dec 2024, with 180 observations. The data reached an all-time high of 37,660.300 SGD mn in Jun 2020 and a record low of 269.100 SGD mn in Jun 1980. Singapore Personal Saving: sa data remains active status in CEIC and is reported by Singapore Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.A089: Personal Disposable Income and Personal Saving: Current Prices: Seasonally Adjusted.
The statistic shows the average household income and spending in Singapore in financial year 2012/2013, by income quintile. In the financial year 2012/2013, the top twenty percent of Singaporean households had almost ** thousand Singaporean dollars after deducting income against expenditure.
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Key information about Singapore Private Consumption: % of GDP
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Singapore GNS: Gross Domestic Saving: Private & Govt Consumption Exp. data was reported at 207,976.300 SGD mn in 2017. This records an increase from the previous number of 199,800.500 SGD mn for 2016. Singapore GNS: Gross Domestic Saving: Private & Govt Consumption Exp. data is updated yearly, averaging 32,165.850 SGD mn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 207,976.300 SGD mn in 2017 and a record low of 2,091.700 SGD mn in 1960. Singapore GNS: Gross Domestic Saving: Private & Govt Consumption 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.A063: Gross National Income and Saving.
Well-functioning financial systems serve a vital purpose, offering savings, credit, payment, and risk management products to people with a wide range of needs. Yet until now little had been known about the global reach of the financial sector - the extent of financial inclusion and the degree to which such groups as the poor, women, and youth are excluded from formal financial systems. Systematic indicators of the use of different financial services had been lacking for most economies.
The Global Financial Inclusion (Global Findex) database provides such indicators. This database contains the first round of Global Findex indicators, measuring how adults in more than 140 economies save, borrow, make payments, and manage risk. The data set can be used to track the effects of financial inclusion policies globally and develop a deeper and more nuanced understanding of how people around the world manage their day-to-day finances. By making it possible to identify segments of the population excluded from the formal financial sector, the data can help policy makers prioritize reforms and design new policies.
National Coverage.
Individual
The target population is the civilian, non-institutionalized population 15 years and above. The sample is nationally representative.
Sample survey data [ssd]
The Global Findex indicators are drawn from survey data collected by Gallup, Inc. over the 2011 calendar year, covering more than 150,000 adults in 148 economies and representing about 97 percent of the world's population. Since 2005, Gallup has surveyed adults annually around the world, using a uniform methodology and randomly selected, nationally representative samples. The second round of Global Findex indicators was collected in 2014 and is forthcoming in 2015. The set of indicators will be collected again in 2017.
Surveys were conducted face-to-face in economies where landline telephone penetration is less than 80 percent, or where face-to-face interviewing is customary. The first stage of sampling is the identification of primary sampling units, consisting of clusters of households. The primary sampling units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid.
Surveys were conducted by telephone in economies where landline telephone penetration is over 80 percent. The telephone surveys were conducted using random digit dialing or a nationally representative list of phone numbers. In selected countries where cell phone penetration is high, a dual sampling frame is used. Random respondent selection is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to teach a person in each household, spread over different days and times of year.
The sample size in the majority of economies was 1,000 individuals.
Face-to-face [f2f]
The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup, Inc. also provided valuable input. The questionnaire was piloted in over 20 countries using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.
Questions on insurance, mobile payments, and loan purposes were asked only in developing economies. The indicators on awareness and use of microfinance insitutions (MFIs) are not included in the public dataset. However, adults who report saving at an MFI are considered to have an account; this is reflected in the composite account indicator.
Estimates of standard errors (which account for sampling error) vary by country and indicator. For country- and indicator-specific standard errors, refer to the Annex and Country Table in Demirguc-Kunt, Asli and L. Klapper. 2012. "Measuring Financial Inclusion: The Global Findex." Policy Research Working Paper 6025, World Bank, Washington, D.C.
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Key information about Singapore Public Consumption: % of GDP
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Singapore Personal Saving Rate: sa data was reported at 35.300 % in Dec 2024. This records an increase from the previous number of 33.500 % for Sep 2024. Singapore Personal Saving Rate: sa data is updated quarterly, averaging 21.400 % from Mar 1980 (Median) to Dec 2024, with 180 observations. The data reached an all-time high of 55.700 % in Jun 2020 and a record low of 6.700 % in Sep 1988. Singapore Personal Saving Rate: sa data remains active status in CEIC and is reported by Singapore Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.A089: Personal Disposable Income and Personal Saving: Current Prices: Seasonally Adjusted.