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D

Monthly Household Employment Income Per Household Member (Excluding Employer CPF Contributions) Among Resident Employed Households at Selected Percentiles (Household Income, Annual 2000-2025)

Description

Monthly household employment income per household member excluding employer CPF among Singapore resident employed households at selected percentiles for annual series 2000 through 2025. Income inequality researchers track percentile cut-offs; decile membership can change year to year. Adapted from SingStat TableBuilder CT/17915.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 09/02/2026 Update Frequency: Annual Survey period: Household Income, Annual 2000-2025 Footnotes: Note: It is notable that some resident employed households in the lowest income decile owned a car (15.4%), employed a domestic worker (19.4%), lived in private property (10.0%) or were with household reference persons aged 65 years and over (37.3%) in 2025. Not all households are consistently in the same decile group from one year to the next. For example, a household may move from a higher to a lower decile in a particular year due to reduced income if a household member is temporarily unemployed, before moving up the deciles when the member resumes employment in the subsequent year. In comparing the performance of any particular decile group over time, it is therefore relevant to note that the comparison may not pertain to the same group of households. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17915

Last updated
Rows
9
Columns
27

Chart

Values are summed where multiple rows share the same category.

Data

Dollar 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025
10th 402.000000 401.000000 400.000000 400.000000 400.000000 400.000000 428.000000 455.000000 500.000000 500.000000 530.000000 583.000000 611.000000 634.000000 689.000000 741.000000 750.000000 775.000000 793.000000 830.000000 797.000000 856.000000 958.000000 1000.000000 1018.000000 1133.000000
20th 578.000000 593.000000 574.000000 573.000000 600.000000 603.000000 648.000000 680.000000 753.000000 750.000000 807.000000 875.000000 930.000000 984.000000 1047.000000 1102.000000 1137.000000 1172.000000 1207.000000 1263.000000 1249.000000 1333.000000 1449.000000 1516.000000 1579.000000 1707.000000
30th 747.000000 766.000000 750.000000 753.000000 781.000000 800.000000 846.000000 900.000000 1000.000000 1000.000000 1071.000000 1158.000000 1233.000000 1300.000000 1389.000000 1464.000000 1500.000000 1541.000000 1602.000000 1669.000000 1634.000000 1741.000000 1880.000000 2000.000000 2062.000000 2235.000000
40th 921.000000 974.000000 955.000000 961.000000 982.000000 1008.000000 1059.000000 1136.000000 1277.000000 1260.000000 1353.000000 1448.000000 1538.000000 1625.000000 1737.000000 1828.000000 1857.000000 1929.000000 2000.000000 2106.000000 2067.000000 2194.000000 2379.000000 2530.000000 2604.000000 2801.000000
50th (Median) 1125.000000 1198.000000 1167.000000 1183.000000 1201.000000 1253.000000 1312.000000 1404.000000 1577.000000 1563.000000 1666.000000 1787.000000 1900.000000 2008.000000 2128.000000 2223.000000 2288.000000 2390.000000 2478.000000 2591.000000 2550.000000 2690.000000 2917.000000 3091.000000 3198.000000 3439.000000
60th 1367.000000 1478.000000 1441.000000 1452.000000 1488.000000 1554.000000 1623.000000 1750.000000 1968.000000 1933.000000 2049.000000 2192.000000 2335.000000 2450.000000 2596.000000 2731.000000 2800.000000 2935.000000 3007.000000 3202.000000 3142.000000 3279.000000 3545.000000 3775.000000 3901.000000 4160.000000
70th 1682.000000 1831.000000 1794.000000 1821.000000 1842.000000 1943.000000 2019.000000 2203.000000 2477.000000 2424.000000 2570.000000 2754.000000 2892.000000 3039.000000 3223.000000 3394.000000 3489.000000 3640.000000 3790.000000 4000.000000 3910.000000 4063.000000 4410.000000 4699.000000 4867.000000 5131.000000
80th 2162.000000 2374.000000 2327.000000 2359.000000 2403.000000 2525.000000 2663.000000 2930.000000 3261.000000 3153.000000 3365.000000 3597.000000 3773.000000 3958.000000 4213.000000 4412.000000 4501.000000 4727.000000 4952.000000 5195.000000 5065.000000 5251.000000 5667.000000 6008.000000 6208.000000 6588.000000
90th 3113.000000 3482.000000 3397.000000 3405.000000 3523.000000 3704.000000 3980.000000 4333.000000 4805.000000 4625.000000 5000.000000 5319.000000 5607.000000 5733.000000 6179.000000 6495.000000 6510.000000 6997.000000 7222.000000 7500.000000 7363.000000 7642.000000 8196.000000 8602.000000 8948.000000 9442.000000

Columns

Column Type Categorical
Dollar Text No
2000 Numeric No
2001 Numeric No
2002 Numeric No
2003 Numeric No
2004 Numeric No
2005 Numeric No
2006 Numeric No
2007 Numeric No
2008 Numeric No
2009 Numeric No
2010 Numeric No
2011 Numeric No
2012 Numeric No
2013 Numeric No
2014 Numeric No
2015 Numeric No
2016 Numeric No
2017 Numeric No
2018 Numeric No
2019 Numeric No
2020 Numeric No
2021 Numeric No
2022 Numeric No
2023 Numeric No
2024 Numeric No
2025 Numeric No