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Data from Jan 1996 to Dec 2024Updated 23 days ago
SINGSTAT (Singapore Department of Statistics)Source: MINISTRY OF MANPOWER
Data Last Updated: 17/02/2025
Update Frequency: Annual
Footnotes: Data are for mid-year. As the income data are captured from a sample survey, the income changes for the 20th percentile nearer the end of the income spectrum tend to be more volatile over shorter (e.g. year-on-year) than longer periods (e.g. 5 or 10 years). Gross monthly income from employment refers to income earned from employment. For employees, it refers to the gross monthly wages or salaries before deduction of employee CPF contributions and personal income tax. It comprises basic wages, overtime pay, commissions, tips, other allowances and one-twelfth of annual bonuses. For self-employed persons, gross monthly income refers to the average monthly profits from their business, trade or profession (i.e. total receipts less business expenses incurred) before deduction of income tax. Data exclude full-time national servicemen. Residents refer to Singapore citizens and permanent residents. Before 2009, full-time employment refers to employment where the normal hours of work is 30 hours or more in a week. From 2009 onwards, full-time employment refers to employment where the normal hours of work is 35 hours or more in a week. Data for 2000 and 2005 are not available as the comprehensive Labour Force Survey was not conducted in these years due to the conduct of the Census and General Household Survey by the Singapore Department of Statistics.
Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M182981
Data Series Text | 2024 Numeric | 2023 Numeric | 2022 Numeric | 2021 Numeric | 2020 Numeric | 2019 Numeric | 2018 Numeric | 2017 Numeric | 2016 Numeric | 2015 Numeric | 2014 Numeric | 2013 Numeric | 2012 Numeric | 2011 Numeric | 2010 Numeric | 2009 Numeric | 2008 Numeric | 2007 Numeric | 2006 Numeric | 2004 Numeric | 2003 Numeric | 2002 Numeric | 2001 Numeric | 1999 Numeric | 1998 Numeric | 1997 Numeric | 1996 Numeric |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% |
Median (50th Percentile) | 5500 | 5197 | 5070 | 4680 | 4534 | 4563 | 4437 | 4232 | 4056 | 3949 | 3770 | 3705 | 3480 | 3249 | 3000 | 2927 | 2897 | 2543 | 2449 | 2326 | 2410 | 2380 | 2387 | 2026 | 2240 | 2078 | 1950 |
20th Percentile | 3026 | 2826 | 2779 | 2500 | 2340 | 2457 | 2340 | 2200 | 2106 | 2012 | 1972 | 1885 | 1740 | 1733 | 1600 | 1500 | 1489 | 1356 | 1286 | 1305 | 1334 | 1346 | 1383 | 1191 | 1300 | 1200 | 1140 |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Data Series | DataSeries | Text | Dollar | - |
2024 | 2024 | Numeric | Dollar | - |
2023 | 2023 | Numeric | Dollar | - |
2022 | 2022 | Numeric | Dollar | - |
2021 | 2021 | Numeric | Dollar | - |
2020 | 2020 | Numeric | Dollar | - |
2019 | 2019 | Numeric | Dollar | - |
2018 | 2018 | Numeric | Dollar | - |
2017 | 2017 | Numeric | Dollar | - |
2016 | 2016 | Numeric | Dollar | - |
2015 | 2015 | Numeric | Dollar | - |
2014 | 2014 | Numeric | Dollar | - |
2013 | 2013 | Numeric | Dollar | - |
2012 | 2012 | Numeric | Dollar | - |
2011 | 2011 | Numeric | Dollar | - |
2010 | 2010 | Numeric | Dollar | - |
2009 | 2009 | Numeric | Dollar | - |
2008 | 2008 | Numeric | Dollar | - |
2007 | 2007 | Numeric | Dollar | - |
2006 | 2006 | Numeric | Dollar | - |
2004 | 2004 | Numeric | Dollar | - |
2003 | 2003 | Numeric | Dollar | - |
2002 | 2002 | Numeric | Dollar | - |
2001 | 2001 | Numeric | Dollar | - |
1999 | 1999 | Numeric | Dollar | - |
1998 | 1998 | Numeric | Dollar | - |
1997 | 1997 | Numeric | Dollar | - |
1996 | 1996 | Numeric | Dollar | - |
This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.
import requests
dataset_id = "d_52760e82e8786bac11cca40eb29d1a93"
url = "https://data.gov.sg/api/action/datastore_search?resource_id=" + dataset_id
response = requests.get(url)
print(response.json())
This dataset can be reused and cited in research publications.
22 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.