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Nominal Change in Average Monthly Household Employment Income Per Household Member (Excluding Employer CPF Contributions) Among Resident Employed Households by Deciles (Household Employment Income, Annual 2000-2024)

What this data shows

Published by Singapore Department of Statistics. 11 records. Fields include Per Cent, 2001, 2002, 2003 (30 columns in total). Last updated 2024-02-07.

Description

Annual percentage nominal change in average monthly household employment income per household member (excluding employer CPF) among Singapore resident employed households by income decile, for the household income-from-work series covering 2000–2023. Income researchers track inequality dynamics and mobility across deciles; adapted from SingStat TableBuilder CT/17910.

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 (16.0%), employed a domestic worker (14.7%), lived in private property (8.0%) or were with household reference persons aged 65 years and over (36.6%) 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/17910

Last updated
Rows
11
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
Total 8.100000 -2.200000 1.400000 2.800000 5.200000 6.400000 10.300000 9.900000 -2.400000 7.500000 7.800000
1st (Lowest) -1.400000 -4.200000 -0.700000 1.100000 -1.100000 7.300000 5.800000 9.300000 -1.800000 6.000000 10.700000
2nd 0.800000 -3.000000 0.600000 1.800000 2.800000 5.700000 5.900000 10.700000 -0.800000 7.800000 8.100000
3rd 2.900000 -2.100000 0.300000 3.100000 2.500000 5.800000 5.800000 11.800000 -1.100000 7.800000 8.100000
4th 3.800000 -1.500000 0.200000 2.700000 3.800000 4.600000 6.800000 12.200000 -1.600000 7.900000 7.200000
5th 6.000000 -2.300000 0.900000 1.800000 4.400000 4.600000 7.400000 12.200000 -1.100000 6.700000 6.700000
6th 6.700000 -2.200000 1.100000 1.700000 4.900000 4.400000 7.200000 12.300000 -1.300000 6.600000 7.000000
7th 8.500000 -2.300000 1.200000 1.700000 5.000000 4.200000 8.800000 12.200000 -2.000000 6.200000 7.200000
8th 9.300000 -2.300000 1.700000 1.300000 5.400000 5.200000 9.400000 11.500000 -2.500000 6.500000 6.700000
9th 10.600000 -2.000000 1.400000 2.300000 5.200000 5.900000 9.100000 11.400000 -3.300000 7.500000 6.700000

Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.

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