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Average Monthly Household Employment Income Per Household Member (Excluding Employer CPF Contributions) Among Resident Employed Households by Deciles (Household Income, Annual 2000-2025)

What this data shows

Published by Singapore Department of Statistics. 11 records. Fields include Dollar, 2000, 2001, 2002 (27 columns in total). Last updated 2026-02-09.

Description

Annual average monthly household employment income per household member (excluding employer CPF) among Singapore resident employed households by income decile from 2000 through 2025. Inequality researchers track real living-standard gradients across deciles, noting household composition of each decile can change year to year. Adapted from SingStat TableBuilder CT/17909.

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 (15.3%), employed a domestic worker (19.3%), lived in private property (10.0%) or were with household reference persons aged 65 years and over (38.2%) 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/17909

Last updated
Rows
11
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
Total 1590.000000 1719.000000 1682.000000 1706.000000 1754.000000 1846.000000 1965.000000 2167.000000 2382.000000 2326.000000 2500.000000
1st (Lowest) 293.000000 289.000000 277.000000 275.000000 278.000000 275.000000 295.000000 312.000000 341.000000 335.000000 355.000000
2nd 495.000000 499.000000 484.000000 487.000000 496.000000 510.000000 539.000000 571.000000 632.000000 627.000000 676.000000
3rd 661.000000 680.000000 666.000000 668.000000 689.000000 706.000000 747.000000 790.000000 883.000000 873.000000 941.000000
4th 834.000000 866.000000 853.000000 855.000000 878.000000 912.000000 953.000000 1019.000000 1143.000000 1124.000000 1213.000000
5th 1018.000000 1079.000000 1054.000000 1064.000000 1083.000000 1131.000000 1183.000000 1270.000000 1426.000000 1411.000000 1505.000000
6th 1245.000000 1330.000000 1300.000000 1314.000000 1336.000000 1401.000000 1463.000000 1569.000000 1762.000000 1739.000000 1853.000000
7th 1515.000000 1643.000000 1607.000000 1626.000000 1654.000000 1737.000000 1810.000000 1970.000000 2211.000000 2165.000000 2298.000000
8th 1902.000000 2079.000000 2032.000000 2067.000000 2092.000000 2206.000000 2320.000000 2537.000000 2830.000000 2759.000000 2937.000000
9th 2566.000000 2837.000000 2779.000000 2819.000000 2884.000000 3033.000000 3213.000000 3505.000000 3905.000000 3774.000000 4056.000000

Preview shows 10 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