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D

Monthly Household Employment Income (Excluding 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

Monthly household employment income excluding employer CPF among Singapore resident employed households at selected percentiles from 2000 through 2025. Income inequality researchers track percentile points of the work-income distribution. Adapted from SingStat TableBuilder CT/17912.

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 (9.9%), employed a domestic worker (8.4%), lived in private property (8.6%) or were with household reference persons aged 65 years and over (44.7%) 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/17912

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 1399.000000 1383.000000 1300.000000 1250.000000 1300.000000 1300.000000 1320.000000 1400.000000 1500.000000 1500.000000 1600.000000
20th 2000.000000 2000.000000 2000.000000 1986.000000 2000.000000 2000.000000 2041.000000 2166.000000 2482.000000 2491.000000 2600.000000
30th 2624.000000 2658.000000 2578.000000 2600.000000 2630.000000 2732.000000 2805.000000 3000.000000 3399.000000 3358.000000 3560.000000
40th 3263.000000 3364.000000 3250.000000 3257.000000 3329.000000 3500.000000 3570.000000 3903.000000 4363.000000 4333.000000 4580.000000
50th (Median) 4000.000000 4141.000000 4038.000000 4050.000000 4106.000000 4345.000000 4495.000000 4883.000000 5475.000000 5398.000000 5704.000000
60th 4883.000000 5100.000000 5000.000000 5000.000000 5040.000000 5366.000000 5492.000000 6013.000000 6840.000000 6649.000000 7021.000000
70th 5997.000000 6337.000000 6166.000000 6128.000000 6303.000000 6655.000000 6798.000000 7479.000000 8461.000000 8303.000000 8725.000000
80th 7583.000000 8125.000000 7899.000000 7910.000000 8018.000000 8513.000000 8766.000000 9682.000000 10787.000000 10675.000000 11189.000000
90th 10596.000000 11488.000000 10939.000000 11181.000000 11400.000000 12065.000000 12500.000000 13790.000000 15763.000000 15066.000000 16057.000000

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