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Average Monthly Household Employment Income (Including 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

Singapore Department of Statistics CSV of the average monthly household employment income, including employer CPF contributions, among resident employed households by income decile, annually from 2000 through 2025. Each decile from the lowest to the highest tenth is shown per year. Income and inequality researchers track how earnings grew across the distribution over 25 years, noting that households may shift between deciles year to year. Adapted from SingStat TableBuilder CT/17880.

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/17880

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 5949.000000 6420.000000 6234.000000 6281.000000 6290.000000 6599.000000 6798.000000 7438.000000 8421.000000 8202.000000 8733.000000
1st (Lowest) 1382.000000 1331.000000 1265.000000 1223.000000 1232.000000 1257.000000 1260.000000 1322.000000 1401.000000 1362.000000 1498.000000
2nd 2241.000000 2276.000000 2180.000000 2165.000000 2198.000000 2256.000000 2306.000000 2417.000000 2697.000000 2695.000000 2942.000000
3rd 2987.000000 3045.000000 2947.000000 2983.000000 2990.000000 3118.000000 3180.000000 3379.000000 3831.000000 3791.000000 4160.000000
4th 3685.000000 3867.000000 3722.000000 3749.000000 3792.000000 4022.000000 4037.000000 4336.000000 4915.000000 4976.000000 5405.000000
5th 4506.000000 4687.000000 4581.000000 4644.000000 4647.000000 4863.000000 4985.000000 5367.000000 6059.000000 5992.000000 6624.000000
6th 5308.000000 5672.000000 5522.000000 5645.000000 5519.000000 5873.000000 6026.000000 6565.000000 7499.000000 7327.000000 7854.000000
7th 6354.000000 6764.000000 6674.000000 6728.000000 6640.000000 7146.000000 7191.000000 7935.000000 8975.000000 8801.000000 9317.000000
8th 7616.000000 8329.000000 8139.000000 8246.000000 8011.000000 8647.000000 8815.000000 9499.000000 10835.000000 10704.000000 11127.000000
9th 9461.000000 10760.000000 10306.000000 10270.000000 10367.000000 10719.000000 11077.000000 12403.000000 14016.000000 13439.000000 13953.000000

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