Wages in Singapore increased to 6434 SGD/Month in the second quarter of 2025 from 6282 SGD/Month in the first quarter of 2025. This dataset provides - Singapore Average Monthly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Singapore Median Monthly Household Income From Work data was reported at 9,023.000 SGD in 2017. This records an increase from the previous number of 8,846.000 SGD for 2016. Singapore Median Monthly Household Income From Work data is updated yearly, averaging 6,053.000 SGD from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 9,023.000 SGD in 2017 and a record low of 4,398.000 SGD in 2000. Singapore Median Monthly Household Income From Work data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.H051: Household Income from Work: Resident Employed Households.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_a0a94216a4bb495fcd8682934ce85003/view

Singapore SG: GDP: Growth: Adjusted Net National Income data was reported at 2.983 % in 2016. This records an increase from the previous number of 0.168 % for 2015. Singapore SG: GDP: Growth: Adjusted Net National Income data is updated yearly, averaging 6.464 % from Dec 1972 (Median) to 2016, with 45 observations. The data reached an all-time high of 23.556 % in 2010 and a record low of -6.632 % in 2008. Singapore SG: GDP: Growth: Adjusted Net National Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods described in 'The Changing Wealth of Nations 2018: Building a Sustainable Future' (Lange et al 2018).; Weighted average;

The Gross Domestic Product per capita in Singapore was last recorded at 67706.83 US dollars in 2024. The GDP per Capita in Singapore is equivalent to 536 percent of the world's average. This dataset provides - Singapore GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Singapore SG: GDP: Growth: Adjusted Net National Income per Capita data was reported at 1.656 % in 2016. This records an increase from the previous number of -1.013 % for 2015. Singapore SG: GDP: Growth: Adjusted Net National Income per Capita data is updated yearly, averaging 4.124 % from Dec 1972 (Median) to 2016, with 45 observations. The data reached an all-time high of 21.386 % in 2010 and a record low of -11.471 % in 2008. Singapore SG: GDP: Growth: Adjusted Net National Income per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods in World Bank's 'The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium' (2011).; Weighted average;

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.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_2d6793de474551149c438ba349a108fd/view

Singapore SG: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data was reported at 82.008 % in 2017. This records an increase from the previous number of 82.007 % for 2016. Singapore SG: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data is updated yearly, averaging 81.497 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 86.519 % in 2000 and a record low of 80.294 % in 2004. Singapore SG: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Employment and Unemployment. Wage and salaried workers (employees) are those workers who hold the type of jobs defined as 'paid employment jobs,' where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections.

The Personal Income Tax Rate in Singapore stands at 22 percent. This dataset provides - Singapore Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In fiscal year 2024, the passenger segment accounted for a major share of Singapore Airlines operating revenue, with a recovery in international air travel. During the same fiscal year, cargo and mail revenue decreased to approximately 2.1 billion Singapore dollars.

All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Singapore. Power Plant emissions from all power plants in Singapore were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information

The number of kilometers traveled by paying passengers (RPK) of the Singapore Airlines Group reached approximately 143.89 billion in fiscal year 2023/2024. By comparison, the available seat kilometer (ASK) amounted to about 163 billion in the same year.

Singapore SG: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 3.800 % in 2024. This records an increase from the previous number of 3.700 % for 2023. Singapore SG: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 2.700 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 3.800 % in 2024 and a record low of 2.500 % in 2007. Singapore SG: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

Singapore SG: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Sub-Saharan Africa data was reported at 0.634 % in 2016. This records an increase from the previous number of 0.491 % for 2015. Singapore SG: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Sub-Saharan Africa data is updated yearly, averaging 0.431 % from Dec 1960 (Median) to 2016, with 52 observations. The data reached an all-time high of 1.411 % in 1970 and a record low of 0.064 % in 1962. Singapore SG: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Sub-Saharan Africa data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Imports. Merchandise imports from low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Sub-Saharan Africa region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Singapore SG: Imports: High-Income Economies: % of Total Goods Imports data was reported at 57.472 % in 2016. This records an increase from the previous number of 56.924 % for 2015. Singapore SG: Imports: High-Income Economies: % of Total Goods Imports data is updated yearly, averaging 68.805 % from Dec 1960 (Median) to 2016, with 52 observations. The data reached an all-time high of 80.179 % in 1962 and a record low of 55.442 % in 1968. Singapore SG: Imports: High-Income Economies: % of Total Goods Imports data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Imports. Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Singapore SG: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia data was reported at 2.225 % in 2016. This records an increase from the previous number of 2.119 % for 2015. Singapore SG: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia data is updated yearly, averaging 1.215 % from Dec 1960 (Median) to 2016, with 52 observations. The data reached an all-time high of 7.488 % in 1963 and a record low of 0.731 % in 1998. Singapore SG: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Imports. Merchandise imports from low- and middle-income economies in South Asia are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the South Asia region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Singapore SG: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Europe & Central Asia data was reported at 0.449 % in 2016. This records an increase from the previous number of 0.379 % for 2015. Singapore SG: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Europe & Central Asia data is updated yearly, averaging 0.333 % from Dec 1968 (Median) to 2016, with 49 observations. The data reached an all-time high of 1.697 % in 1970 and a record low of 0.160 % in 1989. Singapore SG: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Europe & Central Asia data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Exports. Merchandise exports to low- and middle-income economies in Europe and Central Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Europe and Central Asia region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Singapore SG: Exports: High-Income Economies: % of Total Goods Exports data was reported at 49.292 % in 2016. This records an increase from the previous number of 46.842 % for 2015. Singapore SG: Exports: High-Income Economies: % of Total Goods Exports data is updated yearly, averaging 60.175 % from Dec 1960 (Median) to 2016, with 52 observations. The data reached an all-time high of 74.931 % in 1963 and a record low of 43.443 % in 1968. Singapore SG: Exports: High-Income Economies: % of Total Goods Exports data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Exports. Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Singapore SG: Total Tax Rate: % of Profit data was reported at 20.300 % in 2017. This records an increase from the previous number of 19.100 % for 2016. Singapore SG: Total Tax Rate: % of Profit data is updated yearly, averaging 21.800 % from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 26.200 % in 2005 and a record low of 18.000 % in 2015. Singapore SG: Total Tax Rate: % of Profit data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Company Statistics. Total tax rate measures the amount of taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions as a share of commercial profits. Taxes withheld (such as personal income tax) or collected and remitted to tax authorities (such as value added taxes, sales taxes or goods and service taxes) are excluded.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.