Retrenched Employees By Industry (SSIC 2020) And Occupational Group, Quarterly

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Retrenched Employees By Industry (SSIC 2020) And Occupational Group, Quarterly

SINGSTAT (Singapore Department of Statistics)

Source: MINISTRY OF MANPOWER

Data Last Updated: 16/06/2026

Update Frequency: Quarterly

Footnotes: Previously known as Redundancy. 1) Before 2006, data pertain to private sector establishments each with at least 25 employees. From 2006 onwards, it includes the public sector. 2) Data are based on SSIC1996(1998-1999), SSIC2005(2000-2005), SSIC2020(2006-current). 3) Data for the three major sectors do not add up to the total as the latter includes Agriculture, Fishing, Quarrying, Utilities and Sewerage & Waste Management. 4) Data are rounded to the nearest 10. Hence may not add up to the total. 5) Data are revised at the industry level to reflect updates in industry classification of firms based on SSIC 2020. Revisions have also been made to the 2Q 2022 figures, following clarifications with survey respondents.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M183911

Data from Jan 1998 to Mar 2026

Last updated 9 days ago (7 Aug 2026)

Data explorer

RetrenchedEmployeesByIndustrySSIC2020AndOccupationalGroupQuarterly.csv (46 rows, 29.8 KB)

Data Series Text	2026 1Q Text	2025 4Q Text	2025 3Q Text	2025 2Q Text	2025 1Q Text	2024 4Q Text	2024 3Q Text	2024 2Q Text	2024 1Q Text	2023 4Q Text	2023 3Q Text	2023 2Q Text	2023 1Q Text	2022 4Q Text	2022 3Q Text	2022 2Q Text	2022 1Q Text	2021 4Q Text	2021 3Q Text	2021 2Q Text	2021 1Q Text	2020 4Q Text	2020 3Q Text	2020 2Q Text	2020 1Q Text	2019 4Q Text	2019 3Q Numeric	2019 2Q Text	2019 1Q Text	2018 4Q Text	2018 3Q Text	2018 2Q Text	2018 1Q Text	2017 4Q Text	2017 3Q Text	2017 2Q Text	2017 1Q Text	2016 4Q Text	2016 3Q Text	2016 2Q Text	2016 1Q Text	2015 4Q Text	2015 3Q Text	2015 2Q Text	2015 1Q Text	2014 4Q Text	2014 3Q Text	2014 2Q Text	2014 1Q Text	2013 4Q Text	2013 3Q Text	2013 2Q Text	2013 1Q Text	2012 4Q Text	2012 3Q Text	2012 2Q Text	2012 1Q Text	2011 4Q Text	2011 3Q Text	2011 2Q Text	2011 1Q Text	2010 4Q Text	2010 3Q Text	2010 2Q Text	2010 1Q Text	2009 4Q Text	2009 3Q Text	2009 2Q Text	2009 1Q Text	2008 4Q Text	2008 3Q Text	2008 2Q Text	2008 1Q Text	2007 4Q Text	2007 3Q Text	2007 2Q Text	2007 1Q Text	2006 4Q Text	2006 3Q Text	2006 2Q Text	2006 1Q Text	2005 4Q Text	2005 3Q Text	2005 2Q Text	2005 1Q Text	2004 4Q Text	2004 3Q Text	2004 2Q Text	2004 1Q Text	2003 4Q Text	2003 3Q Text	2003 2Q Text	2003 1Q Text	2002 4Q Text	2002 3Q Text	2002 2Q Text	2002 1Q Text	2001 4Q Text	2001 3Q Text	2001 2Q Text	2001 1Q Text	2000 4Q Text	2000 3Q Text	2000 2Q Text	2000 1Q Text	1999 4Q Text	1999 3Q Text	1999 2Q Text	1999 1Q Text	1998 4Q Text	1998 3Q Text	1998 2Q Text	1998 1Q Text
(Null)0.0%	(Null)13.0%	(Null)10.9%	(Null)13.0%	(Null)8.7%	(Null)4.3%	(Null)13.0%	(Null)13.0%	(Null)8.7%	(Null)8.7%	(Null)8.7%	(Null)8.7%	(Null)13.0%	(Null)13.0%	(Null)19.6%	(Null)17.4%	(Null)15.2%	(Null)15.2%	(Null)8.7%	(Null)13.0%	(Null)4.3%	(Null)13.0%	(Null)2.2%	(Null)4.3%	(Null)2.2%	(Null)6.5%	(Null)8.7%	(Null)0.0%	(Null)15.2%	(Null)15.2%	(Null)13.0%	(Null)6.5%	(Null)13.0%	(Null)4.3%	(Null)10.9%	(Null)10.9%	(Null)8.7%	(Null)4.3%	(Null)6.5%	(Null)10.9%	(Null)8.7%	(Null)10.9%	(Null)10.9%	(Null)17.4%	(Null)6.5%	(Null)19.6%	(Null)15.2%	(Null)15.2%	(Null)17.4%	(Null)10.9%	(Null)17.4%	(Null)15.2%	(Null)13.0%	(Null)13.0%	(Null)19.6%	(Null)15.2%	(Null)17.4%	(Null)13.0%	(Null)17.4%	(Null)13.0%	(Null)19.6%	(Null)17.4%	(Null)15.2%	(Null)17.4%	(Null)17.4%	(Null)21.7%	(Null)17.4%	(Null)13.0%	(Null)10.9%	(Null)4.3%	(Null)2.2%	(Null)8.7%	(Null)10.9%	(Null)17.4%	(Null)23.9%	(Null)19.6%	(Null)21.7%	(Null)15.2%	(Null)8.7%	(Null)23.9%	(Null)21.7%	(Null)10.9%	(Null)97.8% 33802.2%	(Null)97.8% 32402.2%	(Null)97.8% 22502.2%	(Null)97.8% 22802.2%	(Null)97.8% 34302.2%	(Null)97.8% 20902.2%	(Null)97.8% 21202.2%	(Null)97.8% 30102.2%	(Null)97.8% 28402.2%	(Null)97.8% 43102.2%	(Null)97.8% 55102.2%	(Null)97.8% 46102.2%	(Null)97.8% 60702.2%	(Null)97.8% 43702.2%	(Null)97.8% 45802.2%	(Null)97.8% 51102.2%	(Null)97.8% 88902.2%	(Null)97.8% 88802.2%	(Null)97.8% 62802.2%	(Null)97.8% 35202.2%	(Null)97.8% 20502.2%	(Null)97.8% 18102.2%	(Null)97.8% 18802.2%	(Null)97.8% 62102.2%	(Null)97.8% 46402.2%	(Null)97.8% 35702.2%	(Null)97.8% 36202.2%	(Null)97.8% 37002.2%	(Null)97.8% 86002.2%	(Null)97.8% 76202.2%	(Null)97.8% 77502.2%	(Null)97.8% 88302.2%
Total	3830	3690	3670	3540	3590	3680	3050	3270	3030	3460	4110	3200	3820	2990	1300	830	1320	1500	1900	2340	2270	5640	9120	8130	3220	2670	2470	2320	3230	2510	2860	3030	2320	3680	3400	3640	4000	5440	4220	4800	4710	5370	3460	3250	3500	3910	3500	2410	3110	3660	2710	3080	2120	3350	2850	2210	2600	3250	1960	2020	2750	3190	1930	2280	2400	2220	2470	5980	12760	9410	3180	1880	2420	2110	2350	2030	2100	3390	2570	3430	3690	3380	3240	2250	2280	3430	2090	2120	3010	2840	4310	5510	4610	6070	4370	4580	5110	8890	8880	6280	3520	2050	1810	1880	6210	4640	3570	3620	3700	8600	7620	7750	8830
Manufacturing	670	570	550	650	1020	850	580	690	660	780	700	530	1470	1180	250	170	510	280	360	760	320	990	2070	1550	720	670	600	490	1040	380	870	820	510	1330	730	840	890	1990	1120	1380	1790	2480	920	870	950	1170	1270	710	820	1430	1250	1630	680	1580	1200	520	750	1660	770	600	1440	1370	970	1140	1000	860	870	2820	9100	5160	2230	1230	1810	1320	1310	1430	1440	2390	1910	1960	2600	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Food, Beverages & Tobacco	30	10	10	50	50	10	10	30	10	60	20	80	10	-	10	10	10	60	30	10	10	10	160	80	90	20	60	10	10	10	80	70	40	80	30	30	50	20	70	50	180	50	10	20	-	70	-	-	50	-	20	10	10	-	10	-	10	-	-	-	-	10	-	10	-	-	-	-	10	40	10	10	20	10	-	100	20	10	30	20	70	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Paper/Rubber/Plastic Products & Printing	20	10	-	-	50	70	20	270	20	30	30	50	10	10	-	10	10	-	10	50	-	30	160	30	20	60	10	30	70	10	30	90	30	280	60	90	50	90	30	130	160	120	70	60	330	50	10	20	70	80	150	110	40	220	100	100	170	370	120	110	60	220	40	90	120	50	30	180	520	380	130	80	250	200	80	60	90	50	60	30	120	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Petroleum, Chemical & Pharmaceutical Products	180	250	130	200	120	260	90	110	100	60	100	60	20	60	10	90	70	100	70	210	120	30	70	20	40	70	30	30	70	30	40	40	70	20	50	90	140	130	30	60	140	200	30	50	40	30	40	30	60	170	40	10	-	40	100	60	40	120	40	20	140	20	40	70	30	20	10	70	130	150	30	10	-	10	10	10	20	80	20	-	10	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Fabricated Metal Products, Machinery & Equipment	180	140	190	150	470	180	260	100	300	70	170	110	170	200	90	30	240	50	20	30	50	350	410	470	170	230	110	110	230	110	410	220	130	180	180	190	380	820	500	540	540	770	420	310	280	260	700	190	200	100	180	210	200	330	90	170	170	140	180	160	150	350	420	500	300	160	440	660	1920	1000	370	260	370	270	120	400	270	500	170	240	220	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Electronic, Computer & Optical Products	150	140	170	150	280	290	160	140	190	540	160	200	1190	670	30	10	160	40	150	430	60	220	200	150	220	170	200	190	600	80	270	210	110	580	100	170	80	660	180	340	500	1100	200	120	220	670	190	240	180	860	580	560	290	700	830	130	130	680	70	270	1010	710	440	240	340	300	150	1390	4620	2910	1130	480	800	670	260	750	610	1590	1310	1640	2080	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Transport Equipment	50	-	-	50	10	10	-	20	10	10	120	-	-	200	100	10	10	20	50	20	40	160	880	660	10	10	60	10	40	110	20	110	70	110	290	270	160	200	160	130	230	140	120	260	40	20	300	60	60	60	60	70	10	10	20	10	80	40	90	10	40	20	30	170	50	310	100	400	660	440	170	180	10	20	80	-	-	60	30	20	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Other Manufacturing Industries	60	30	40	50	40	30	40	30	40	20	100	20	60	50	10	10	10	10	40	10	20	200	190	140	170	100	130	100	30	40	10	80	70	90	10	10	40	70	150	130	40	100	60	60	40	80	20	160	200	170	230	660	140	290	40	50	160	300	270	30	40	40	10	70	160	10	140	110	1250	250	400	190	350	150	760	110	430	90	310	-	90	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Construction	80	140	60	140	240	90	140	100	120	150	140	120	180	150	10	50	60	40	90	90	20	70	340	440	140	270	160	150	280	180	200	470	350	400	490	470	660	580	600	350	390	520	430	230	610	800	210	280	400	480	260	250	130	70	140	180	260	240	100	410	310	690	170	150	340	250	140	240	350	390	130	20	10	20	50	10	-	10	30	390	60	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	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	Number	-
2026 1Q	20261Q	Text	Number	-
2025 4Q	20254Q	Text	Number	-
2025 3Q	20253Q	Text	Number	-
2025 2Q	20252Q	Text	Number	-
2025 1Q	20251Q	Text	Number	-
2024 4Q	20244Q	Text	Number	-
2024 3Q	20243Q	Text	Number	-
2024 2Q	20242Q	Text	Number	-
2024 1Q	20241Q	Text	Number	-

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_3eaf52cdcc405a80b602d031d0bd092b"
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). Retrenched Employees By Industry (SSIC 2020) And Occupational Group, Quarterly (2026) [Dataset]. data.gov.sg. Retrieved August 17, 2026 from https://data.gov.sg/datasets/d_3eaf52cdcc405a80b602d031d0bd092b/view

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RetrenchedEmployeesByIndustrySSIC2020AndOccupationalGroupQuarterly.csv (46 rows, 29.8 KB)

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Sample OpenAPI query

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