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CSV Singapore Department of Statistics

Nominal Change in Monthly Household Employment Income (Including Employer CPF Contributions) Among Resident Employed Households at Selected Percentiles (Household Employment Income, Annual 2000-2024)

Description

Annual nominal percentage changes in monthly household employment income including employer CPF contributions among Singapore resident employed households at selected percentiles for 2000–2023, with cumulative and annualised change columns. Income inequality researchers interpret decile mobility caveats in the Department of Statistics footnotes. Adapted from SingStat TableBuilder CT/17887.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 07/02/2024 Update Frequency: Annual Survey period: Household Income From Work, Annual 2000-2023 Footnotes: Note: A resident employed household refers to a household where the household reference person is a Singapore citizen or permanent resident, and with at least one employed person. It is notable, for example, that some resident employed households in the lowest 10% owned a car (11.8%), employed a domestic worker (7.3%), lived in private property (7.2%) or were with household reference persons aged 65 years and over (44.3%) in 2023. It is also important to recognise that not all households are consistently in the same decile group from one year to the next. For example, a household may move down from a higher decile in a particular year due to the temporary unemployment of a household member, 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/17887

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Rows
9
Columns
30

Chart

Values are summed where multiple rows share the same category.

Data

Per Cent 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 Cumulative Change from 2013 to 2023 Cumulative Change from 2013 to 2018 Cumulative Change from 2018 to 2023 Annualised Change from 2013 to 2023 Annualised Change from 2013 to 2018 Annualised Change from 2018 to 2023
10th 0.000000 -3.300000 -4.000000 3.200000 0.700000 1.100000 2.600000 8.300000 0.600000 8.100000 6.900000 5.000000 0.800000 4.500000 5.100000 1.100000 0.100000 1.800000 3.000000 -2.000000 2.500000 11.900000 6.100000 39.000000 13.100000 22.900000 3.300000 2.500000 4.200000
20th 3.200000 -3.500000 -1.100000 0.600000 2.700000 1.800000 6.100000 13.000000 -0.300000 6.900000 8.300000 8.500000 0.800000 5.600000 5.300000 3.200000 0.200000 1.700000 0.500000 -1.700000 1.300000 10.900000 5.700000 37.100000 16.900000 17.300000 3.200000 3.200000 3.200000
30th 3.700000 -2.800000 0.900000 -1.100000 3.200000 2.000000 8.200000 13.700000 -1.200000 6.900000 10.200000 7.700000 2.500000 5.800000 5.000000 2.500000 1.800000 0.500000 1.500000 -2.200000 3.100000 7.200000 8.400000 38.700000 16.500000 19.000000 3.300000 3.100000 3.500000
40th 5.600000 -2.800000 -0.200000 -0.400000 5.200000 2.300000 8.300000 13.900000 -1.100000 5.500000 11.100000 6.700000 4.200000 5.700000 4.900000 1.400000 3.200000 1.100000 2.000000 -2.700000 4.200000 5.800000 8.700000 39.500000 17.300000 18.900000 3.400000 3.200000 3.500000
50th (Median) 7.200000 -2.700000 0.500000 -1.300000 6.100000 2.500000 8.300000 13.800000 -1.500000 5.600000 11.000000 7.500000 4.000000 5.300000 4.500000 2.100000 2.000000 3.000000 1.400000 -2.500000 3.600000 6.100000 7.600000 38.100000 18.100000 17.000000 3.300000 3.400000 3.200000
60th 8.100000 -2.500000 0.600000 -1.300000 6.100000 2.000000 9.200000 14.300000 -2.500000 5.700000 9.900000 7.700000 4.800000 4.600000 4.000000 2.500000 2.000000 2.700000 2.200000 -2.200000 3.800000 5.500000 8.000000 38.200000 16.900000 18.300000 3.300000 3.200000 3.400000
70th 9.300000 -2.800000 -0.500000 0.500000 5.600000 1.400000 9.500000 14.300000 -2.000000 5.000000 9.000000 8.300000 4.300000 4.500000 4.100000 2.300000 3.600000 1.700000 2.100000 -1.500000 3.200000 6.600000 6.600000 38.300000 17.300000 17.900000 3.300000 3.200000 3.300000
80th 10.500000 -3.100000 0.300000 -1.100000 5.900000 2.000000 10.000000 12.800000 -1.300000 4.600000 10.200000 6.600000 3.500000 5.000000 4.500000 2.000000 4.000000 1.200000 3.100000 -1.900000 2.600000 7.500000 5.700000 38.900000 17.900000 17.800000 3.300000 3.300000 3.300000
90th 10.900000 -3.900000 1.400000 -0.800000 6.000000 2.400000 10.100000 14.400000 -3.900000 5.900000 9.200000 5.800000 3.700000 5.400000 4.000000 0.900000 3.500000 2.600000 2.600000 -1.300000 -0.100000 8.500000 5.100000 35.500000 17.500000 15.300000 3.100000 3.300000 2.900000

Columns

Column Type Categorical
Per Cent Text 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
Cumulative Change from 2013 to 2023 Numeric No
Cumulative Change from 2013 to 2018 Numeric No
Cumulative Change from 2018 to 2023 Numeric No
Annualised Change from 2013 to 2023 Numeric No
Annualised Change from 2013 to 2018 Numeric No
Annualised Change from 2018 to 2023 Numeric No