Secure websites use HTTPS
View results from GE2025 and explore the electoral boundaries and more in our interactive map.
Average Weekly Paid Overtime Hours Worked per Employee by Industry (Level 2), Annual
Data from Jan 1990 to Jan 2024
Last updated: 19 Mar 2025, 16:52 SGT
Source: Labour Market Survey, Manpower Research & Statistics Department, MOM
Before 2006, the Labour Market Survey covers private sector establishments each with at least 25 employees. From 2006 onwards, the survey also covers the public sector.
Annual figures are the simple averages of the figures obtained at quarterly intervals.
Data are rounded to one decimal place.
Data may not be strictly comparable due to the various versions of SSIC coding.
Year Year (YYYY) | Industry1 Text | Industry2 Text | Overtime Paid Hours Text |
---|---|---|---|
(Null)0.0% 20003.3% 20013.3% 20023.3% 20033.3% | (Null)0.0% manufacturing47.3% services42.3% others5.2% construction5.2% | (Null)0.0% others5.2% construction5.2% transport equipment5.2% wholesale and retail trade5.2% | (Null)0.0% 1.82.7% 0.42.5% 1.32.4% 0.52.1% |
1990 | manufacturing | food, beverages and tobacco | 4.6 |
1990 | manufacturing | textile and wearing apparel | 6.1 |
1990 | manufacturing | paper products and publishing | 6.7 |
1990 | manufacturing | petroleum and chemical products | 5.2 |
1990 | manufacturing | rubber and plastic products | 6.1 |
1990 | manufacturing | fabricated metal products | 7.1 |
1990 | manufacturing | machinery and equipment | 7.1 |
1990 | manufacturing | electrical products | 4.7 |
1990 | manufacturing | electronic products | 5.1 |
1990 | manufacturing | medical and precision instruments | 3.9 |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Year | year | Year (YYYY) | - | - |
Industry1 | industry1 | Text | - | - |
Industry2 | industry2 | Text | - | - |
Overtime Paid Hours | overtime_paid_hours | Text | - | - |
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_de4be6ea306025d5d986691f7d45bf58"
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.
24 Mar 2016
Free forever for personal or commercial use, under the Open Data Licence.