Skip to content
D

Average Monthly Household Employment Income (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

Average monthly household employment income excluding employer CPF among Singapore resident employed households by income decile from 2000 through 2025. Income researchers track distribution across deciles; households may move between groups year to year. Adapted from SingStat TableBuilder CT/17906.

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/17906

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 5456.000000 5736.000000 5572.000000 5618.000000 5761.000000 6052.000000 6280.000000 6889.000000 7752.000000 7549.000000 8058.000000
1st (Lowest) 1284.000000 1209.000000 1150.000000 1112.000000 1140.000000 1162.000000 1165.000000 1224.000000 1301.000000 1264.000000 1385.000000
2nd 2062.000000 2040.000000 1955.000000 1942.000000 2008.000000 2062.000000 2114.000000 2217.000000 2460.000000 2460.000000 2679.000000
3rd 2737.000000 2719.000000 2628.000000 2667.000000 2721.000000 2834.000000 2900.000000 3077.000000 3462.000000 3438.000000 3758.000000
4th 3367.000000 3432.000000 3310.000000 3330.000000 3434.000000 3644.000000 3669.000000 3949.000000 4425.000000 4491.000000 4872.000000
5th 4096.000000 4152.000000 4048.000000 4105.000000 4195.000000 4388.000000 4521.000000 4872.000000 5454.000000 5398.000000 5970.000000
6th 4832.000000 5009.000000 4879.000000 4982.000000 4986.000000 5303.000000 5471.000000 5959.000000 6753.000000 6601.000000 7095.000000
7th 5770.000000 5977.000000 5894.000000 5932.000000 6005.000000 6461.000000 6537.000000 7232.000000 8114.000000 7966.000000 8445.000000
8th 6923.000000 7366.000000 7186.000000 7281.000000 7248.000000 7843.000000 8041.000000 8702.000000 9851.000000 9731.000000 10150.000000
9th 8627.000000 9556.000000 9146.000000 9132.000000 9448.000000 9802.000000 10218.000000 11494.000000 12906.000000 12355.000000 12885.000000

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