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Economy

Average Monthly Nominal Earnings Per Employee, Annual

Data from Jan 2001 to Dec 2024

Last updated: 12 Dec 2025, 20:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: DERIVED BASED ON DATA FROM CENTRAL PROVIDENT FUND BOARD

Data Last Updated: 28/02/2025

Update Frequency: Annual

Footnotes: 1) Average (mean) monthly earnings refer to all remuneration received before deduction of the employee Central Provident Fund (CPF) contributions and personal income tax. It comprises basic wages, overtime pay, commissions, allowances and bonuses but exclude employer CPF contributions. 2) Data cover full-time and part-time employees who have CPF contributions. They exclude identifiable self employed persons who have made CPF contribution. 3) For details of data limitation, please refer to note 3 of Table B.9 in the Singapore Yearbook of Manpower Statistics, 2016 (http://stats.mom.gov.sg/iMAS_Tables/YearBook/YearBook_2016/mrsd_2016YearBook_WtableB_9.xlsx)

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M182941

Sample OpenAPI query

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_5d2a513a20f58239f8c449ea6c9b6ecd"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Singapore Department of Statistics. (2024). Average Monthly Nominal Earnings Per Employee, Annual (2025) [Dataset]. data.gov.sg. Retrieved December 14, 2025 from https://data.gov.sg/datasets/d_5d2a513a20f58239f8c449ea6c9b6ecd/view

About this dataset

Contact

feedback@data.gov.sg

Created on

24 Oct 2024

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

SINGSTAT (Singapore Department of Statistics)

‌

Economy

Average Monthly Nominal Earnings Per Employee, Annual

Data from Jan 2001 to Dec 2024

Last updated: 12 Dec 2025, 20:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: DERIVED BASED ON DATA FROM CENTRAL PROVIDENT FUND BOARD

Data Last Updated: 28/02/2025

Update Frequency: Annual

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M182941

‌

Economy

Average Monthly Nominal Earnings Per Employee, Annual

Data from Jan 2001 to Dec 2024

Last updated: 12 Dec 2025, 20:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: DERIVED BASED ON DATA FROM CENTRAL PROVIDENT FUND BOARD

Data Last Updated: 28/02/2025

Update Frequency: Annual

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M182941

Sample OpenAPI query

import requests
          
dataset_id = "d_5d2a513a20f58239f8c449ea6c9b6ecd"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

About this dataset

Contact

feedback@data.gov.sg

Created on

24 Oct 2024

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

SINGSTAT (Singapore Department of Statistics)

Data explorer

AverageMonthlyNominalEarningsPerEmployeeAnnual.csv (1 rows, 366 B)

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	2005 Numeric	2004 Numeric	2003 Numeric	2002 Numeric	2001 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%
Overall Economy	6908	6555	6227	5832	5629	5549	5410	5229	5074	4892	4727	4622	4433	4334	4089	3872	3977	3773	3554	3444	3329	3213	3158	3134

Column legend

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	-

Analyse this dataset with Colab Notebook

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