Nominal Change in Monthly Household Employment Income (Including Employer CPF Contributions) Among Resident Employed Households at Selected Percentiles (Household Employment Income, Annual 2000-2024)
What this data shows
Published by Singapore Department of Statistics. 9 records. Fields include Per Cent, 2001, 2002, 2003 (30 columns in total). Last updated 2024-02-07.
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
- Last updated
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 10th | 0.000000 | -3.300000 | -4.000000 | 3.200000 | 0.700000 | 1.100000 | 2.600000 | 8.300000 | 0.600000 | 8.100000 | 6.900000 |
| 20th | 3.200000 | -3.500000 | -1.100000 | 0.600000 | 2.700000 | 1.800000 | 6.100000 | 13.000000 | -0.300000 | 6.900000 | 8.300000 |
| 30th | 3.700000 | -2.800000 | 0.900000 | -1.100000 | 3.200000 | 2.000000 | 8.200000 | 13.700000 | -1.200000 | 6.900000 | 10.200000 |
| 40th | 5.600000 | -2.800000 | -0.200000 | -0.400000 | 5.200000 | 2.300000 | 8.300000 | 13.900000 | -1.100000 | 5.500000 | 11.100000 |
| 50th (Median) | 7.200000 | -2.700000 | 0.500000 | -1.300000 | 6.100000 | 2.500000 | 8.300000 | 13.800000 | -1.500000 | 5.600000 | 11.000000 |
| 60th | 8.100000 | -2.500000 | 0.600000 | -1.300000 | 6.100000 | 2.000000 | 9.200000 | 14.300000 | -2.500000 | 5.700000 | 9.900000 |
| 70th | 9.300000 | -2.800000 | -0.500000 | 0.500000 | 5.600000 | 1.400000 | 9.500000 | 14.300000 | -2.000000 | 5.000000 | 9.000000 |
| 80th | 10.500000 | -3.100000 | 0.300000 | -1.100000 | 5.900000 | 2.000000 | 10.000000 | 12.800000 | -1.300000 | 4.600000 | 10.200000 |
| 90th | 10.900000 | -3.900000 | 1.400000 | -0.800000 | 6.000000 | 2.400000 | 10.100000 | 14.400000 | -3.900000 | 5.900000 | 9.200000 |
Preview shows 9 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 |