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

What this data shows

Published by Singapore Department of Statistics. 9 records. Fields include Dollar, 2000, 2001, 2002 (27 columns in total). Last updated 2026-02-09.

Description

Annual monthly household employment income including employer CPF contributions among Singapore resident employed households at selected percentiles for 2000–2025, published by the Singapore Department of Statistics in CSV. Footnotes explain lowest-decile composition and year-to-year decile mobility. Supports inequality and wage-distribution research. Adapted from SingStat TableBuilder CT/17886.

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 (10.7%), employed a domestic worker (8.8%), lived in private property (9.0%) or were with household reference persons aged 65 years and over (45.2%) 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/17886

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
10th 1500.000000 1500.000000 1450.000000 1392.000000 1436.000000 1448.000000 1462.000000 1500.000000 1625.000000 1636.000000 1768.000000
20th 2184.000000 2255.000000 2178.000000 2153.000000 2162.000000 2220.000000 2260.000000 2398.000000 2708.000000 2701.000000 2889.000000
30th 2893.000000 3000.000000 2916.000000 2941.000000 2911.000000 3000.000000 3060.000000 3312.000000 3767.000000 3721.000000 3982.000000
40th 3600.000000 3804.000000 3700.000000 3694.000000 3683.000000 3870.000000 3955.000000 4286.000000 4882.000000 4830.000000 5095.000000
50th (Median) 4400.000000 4719.000000 4595.000000 4617.000000 4556.000000 4839.000000 4957.000000 5370.000000 6102.000000 6012.000000 6350.000000
60th 5368.000000 5800.000000 5660.000000 5695.000000 5628.000000 5968.000000 6083.000000 6644.000000 7596.000000 7401.000000 7822.000000
70th 6593.000000 7208.000000 7009.000000 6964.000000 7001.000000 7397.000000 7509.000000 8215.000000 9398.000000 9213.000000 9668.000000
80th 8357.000000 9240.000000 8954.000000 8979.000000 8889.000000 9412.000000 9612.000000 10561.000000 11911.000000 11754.000000 12299.000000
90th 11636.000000 12897.000000 12395.000000 12570.000000 12483.000000 13216.000000 13550.000000 14896.000000 17067.000000 16403.000000 17350.000000

Preview shows 9 rows and 12 columns. Use the table search or download the CSV for the full data.

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