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Economy

Average Weekly Paid Hours Worked Per Employee By Industry, Annual

Data from Jan 1990 to Dec 2024

Last updated: 07 Mar 2026, 23:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: MINISTRY OF MANPOWER

Data Last Updated: 20/03/2025

Update Frequency: Annual

Footnotes: 1) Before 2006, data pertain to private sector establishments each with at least 25 employees. From 2006 onwards, it includes the public sector. 2) Annual figures are the simple averages of the figures obtained at quarterly intervals. 3) Data are classified according to the Singapore Standard Industrial Classification (SSIC) 1996 (1990-1999), SSIC 2005 (2000-2005), SSIC 2020 (2006-current).

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M184061

Data explorer

AverageWeeklyPaidHoursWorkedPerEmployeeByIndustryAnnual.csv (14 rows, 3.5 KB)

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 Text	2004 Text	2003 Text	2002 Text	2001 Text	2000 Text	1999 Text	1998 Text	1997 Text	1996 Text	1995 Text	1994 Text	1993 Text	1992 Text	1991 Text	1990 Text
(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)92.9% 46.57.1%	(Null)92.9% 46.37.1%	(Null)92.9% 467.1%	(Null)92.9% 467.1%	(Null)92.9% 46.27.1%	(Null)92.9% 477.1%	(Null)92.9% 46.87.1%	(Null)92.9% 46.77.1%	(Null)92.9% 47.37.1%	(Null)92.9% 47.27.1%	(Null)92.9% 47.17.1%	(Null)92.9% 46.97.1%	(Null)92.9% 46.77.1%	(Null)92.9% 46.67.1%	(Null)92.9% 46.67.1%	(Null)92.9% 46.57.1%
Total	43.3	43.6	44.1	44.2	44	44.7	44.8	45.1	45.5	45.6	46	46.2	46.2	46.2	46.2	46	46.3	46.3	46.2	46.5	46.3	46	46	46.2	47	46.8	46.7	47.3	47.2	47.1	46.9	46.7	46.6	46.6	46.5
Manufacturing	45.9	46.5	47.5	47.8	46.9	47.8	48.3	48.5	48.9	49.2	49.7	50.1	50.2	50.2	50.5	49.3	50.1	50.6	50.5	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Construction	47.8	48.6	49.9	49.8	48.1	50	50.4	50.8	52	52.1	52.9	53.2	53	52.8	52.4	52.2	52.4	52.2	51.9	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Services	41.7	41.8	42.3	42.5	42.5	42.9	42.9	43.1	43.2	43.1	43.2	43.4	43.5	43.4	43.4	43.3	43.5	43.3	43.3	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Wholesale & Retail Trade	41.3	41.4	42.2	42.4	42.7	42.9	42.9	42.8	42.7	43	43.1	43.2	43.6	43.7	43.8	43.7	43.7	43.4	43.2	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Transportation & Storage	43.8	44.3	45.2	45.4	45.1	45.5	45.6	45.5	45.9	45.7	45.8	45.7	46.1	46.2	45.7	45.3	46	45.6	45.8	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Accommodation & Food Services	40.2	40.2	40.4	40.5	40.9	41.8	41.5	42.2	42	41.5	42	43	42.1	41.6	41.2	41.2	41.2	39.8	38.9	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Information & Communications	40.7	40.6	40.9	41.4	41.5	41.6	41.7	41.5	41.4	41.5	41.5	41.6	41.5	41.5	41.7	41.6	41.6	41.8	41.9	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Financial & Insurance Services	40.6	40.8	41.3	41.7	41.3	41.6	41.1	41.1	41.1	41.1	41.1	41.2	41.2	41.2	41.4	41.9	42.1	42.3	42.7	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Real Estate Services	43.4	43.2	43.2	43.4	43.6	44.2	44	44.6	45	44.8	44.5	44.6	44.5	44.6	44.7	44.2	44.2	44.3	44.1	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Hours	-
2024	2024	Numeric	Hours	-
2023	2023	Numeric	Hours	-
2022	2022	Numeric	Hours	-
2021	2021	Numeric	Hours	-
2020	2020	Numeric	Hours	-
2019	2019	Numeric	Hours	-
2018	2018	Numeric	Hours	-
2017	2017	Numeric	Hours	-
2016	2016	Numeric	Hours	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_d15f53a85afd9b2c6d23302f8577124d
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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_d15f53a85afd9b2c6d23302f8577124d"
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 Weekly Paid Hours Worked Per Employee By Industry, Annual (2026) [Dataset]. data.gov.sg. Retrieved April 1, 2026 from https://data.gov.sg/datasets/d_d15f53a85afd9b2c6d23302f8577124d/view

About this dataset

Contact

feedback@data.gov.sg

Created on

22 Oct 2024

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)