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CSV Singapore Department of Statistics

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

Description

Annual series from 2000 to 2025 of average monthly household employment income per household member, including employer CPF contributions, among resident employed households ranked into deciles, published by the Singapore Department of Statistics in CSV. Footnotes caution that decile membership is not fixed across years and that some lowest-decile households own cars or private property. Widely used for income inequality, real wage growth and household living standards analysis in Singapore.

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/17883

Download CSV View on data.gov.sg
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 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025
Total 1736.000000 1927.000000 1884.000000 1910.000000 1918.000000 2015.000000 2129.000000 2339.000000 2589.000000 2526.000000 2711.000000 2927.000000 3145.000000 3207.000000 3421.000000 3629.000000 3694.000000 3843.000000 3977.000000 4123.000000 4030.000000 4174.000000 4487.000000 4708.000000 4907.000000 5173.000000
1st (Lowest) 315.000000 317.000000 303.000000 301.000000 300.000000 297.000000 317.000000 335.000000 365.000000 357.000000 381.000000 422.000000 440.000000 463.000000 494.000000 541.000000 543.000000 554.000000 570.000000 597.000000 560.000000 597.000000 690.000000 706.000000 748.000000 811.000000
2nd 537.000000 556.000000 538.000000 542.000000 541.000000 557.000000 585.000000 620.000000 689.000000 683.000000 738.000000 803.000000 856.000000 896.000000 971.000000 1041.000000 1065.000000 1094.000000 1125.000000 1180.000000 1142.000000 1225.000000 1348.000000 1422.000000 1480.000000 1630.000000
3rd 720.000000 760.000000 745.000000 745.000000 756.000000 776.000000 817.000000 865.000000 973.000000 958.000000 1037.000000 1123.000000 1201.000000 1268.000000 1354.000000 1447.000000 1484.000000 1529.000000 1585.000000 1649.000000 1611.000000 1714.000000 1867.000000 1990.000000 2055.000000 2225.000000
4th 911.000000 974.000000 956.000000 960.000000 968.000000 1004.000000 1047.000000 1116.000000 1266.000000 1243.000000 1343.000000 1446.000000 1548.000000 1634.000000 1748.000000 1858.000000 1895.000000 1961.000000 2036.000000 2134.000000 2088.000000 2215.000000 2404.000000 2567.000000 2646.000000 2849.000000
5th 1120.000000 1217.000000 1192.000000 1203.000000 1199.000000 1254.000000 1303.000000 1396.000000 1582.000000 1565.000000 1670.000000 1796.000000 1918.000000 2035.000000 2157.000000 2277.000000 2343.000000 2438.000000 2527.000000 2652.000000 2608.000000 2754.000000 2983.000000 3175.000000 3287.000000 3530.000000
6th 1366.000000 1504.000000 1470.000000 1487.000000 1478.000000 1551.000000 1610.000000 1728.000000 1956.000000 1931.000000 2054.000000 2209.000000 2357.000000 2486.000000 2630.000000 2784.000000 2869.000000 3001.000000 3090.000000 3257.000000 3208.000000 3354.000000 3642.000000 3866.000000 4002.000000 4295.000000
7th 1670.000000 1861.000000 1819.000000 1844.000000 1830.000000 1923.000000 1993.000000 2165.000000 2449.000000 2396.000000 2543.000000 2729.000000 2896.000000 3042.000000 3220.000000 3415.000000 3529.000000 3680.000000 3813.000000 4046.000000 3950.000000 4121.000000 4459.000000 4740.000000 4913.000000 5220.000000
8th 2094.000000 2355.000000 2306.000000 2346.000000 2318.000000 2440.000000 2551.000000 2777.000000 3125.000000 3045.000000 3236.000000 3462.000000 3663.000000 3842.000000 4065.000000 4284.000000 4449.000000 4641.000000 4845.000000 5093.000000 4984.000000 5157.000000 5593.000000 5907.000000 6110.000000 6501.000000
9th 2822.000000 3209.000000 3147.000000 3185.000000 3181.000000 3337.000000 3506.000000 3811.000000 4274.000000 4134.000000 4434.000000 4732.000000 5008.000000 5198.000000 5530.000000 5814.000000 5974.000000 6294.000000 6575.000000 6860.000000 6728.000000 6961.000000 7510.000000 7880.000000 8200.000000 8646.000000
10th (Highest) 5803.000000 6511.000000 6363.000000 6492.000000 6606.000000 7010.000000 7556.000000 8577.000000 9206.000000 8951.000000 9676.000000 10550.000000 11559.000000 11207.000000 12039.000000 12829.000000 12793.000000 13237.000000 13603.000000 13761.000000 13421.000000 13647.000000 14378.000000 14828.000000 15628.000000 16024.000000

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