Job Vacancies By Industry And Occupational Group (SSIC 2020) (End Of Period), Quarterly

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Data explorer

JobVacanciesByIndustryAndOccupationalGroupSSIC2020EndOfPeriodQuarterly.csv (47 rows, 42.3 KB)

Data Series Text	2025 1Q Numeric	2024 4Q Numeric	2024 3Q Numeric	2024 2Q Numeric	2024 1Q Numeric	2023 4Q Numeric	2023 3Q Numeric	2023 2Q Numeric	2023 1Q Numeric	2022 4Q Numeric	2022 3Q Numeric	2022 2Q Numeric	2022 1Q Numeric	2021 4Q Numeric	2021 3Q Numeric	2021 2Q Numeric	2021 1Q Numeric	2020 4Q Numeric	2020 3Q Numeric	2020 2Q Numeric	2020 1Q Numeric	2019 4Q Numeric	2019 3Q Numeric	2019 2Q Numeric	2019 1Q Numeric	2018 4Q Numeric	2018 3Q Numeric	2018 2Q Numeric	2018 1Q Numeric	2017 4Q Numeric	2017 3Q Numeric	2017 2Q Numeric	2017 1Q Numeric	2016 4Q Numeric	2016 3Q Numeric	2016 2Q Numeric	2016 1Q Numeric	2015 4Q Numeric	2015 3Q Numeric	2015 2Q Numeric	2015 1Q Numeric	2014 4Q Numeric	2014 3Q Numeric	2014 2Q Numeric	2014 1Q Numeric	2013 4Q Numeric	2013 3Q Numeric	2013 2Q Numeric	2013 1Q Numeric	2012 4Q Numeric	2012 3Q Numeric	2012 2Q Numeric	2012 1Q Numeric	2011 4Q Numeric	2011 3Q Numeric	2011 2Q Numeric	2011 1Q Numeric	2010 4Q Numeric	2010 3Q Numeric	2010 2Q Numeric	2010 1Q Numeric	2009 4Q Numeric	2009 3Q Numeric	2009 2Q Numeric	2009 1Q Numeric	2008 4Q Numeric	2008 3Q Numeric	2008 2Q Numeric	2008 1Q Numeric	2007 4Q Numeric	2007 3Q Numeric	2007 2Q Numeric	2007 1Q Numeric	2006 4Q Numeric	2006 3Q Numeric	2006 2Q Numeric	2006 1Q Numeric	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	1997 4Q Text	1997 3Q Text	1997 2Q Text	1997 1Q Text	1996 4Q Text	1996 3Q Text	1996 2Q Text	1996 1Q Text	1995 4Q Text	1995 3Q Text	1995 2Q Text	1995 1Q Text	1994 4Q Text	1994 3Q Text	1994 2Q Text	1994 1Q Text	1993 4Q Text	1993 3Q Text	1993 2Q Text	1993 1Q Text	1992 4Q Text	1992 3Q Text	1992 2Q Text	1992 1Q Text	1991 4Q Text	1991 3Q Text	1991 2Q Text	1991 1Q Text	1990 4Q Text	1990 3Q Text	1990 2Q Text	1990 1Q 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)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%	(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%	(Null)0.0%	(Null)0.0%	(Null)97.9% 198002.1%	(Null)97.9% 201002.1%	(Null)97.9% 192002.1%	(Null)97.9% 175002.1%	(Null)97.9% 162002.1%	(Null)97.9% 189002.1%	(Null)97.9% 154002.1%	(Null)97.9% 154002.1%	(Null)97.9% 131002.1%	(Null)97.9% 131002.1%	(Null)97.9% 120002.1%	(Null)97.9% 121002.1%	(Null)97.9% 129002.1%	(Null)97.9% 172002.1%	(Null)97.9% 161002.1%	(Null)97.9% 139002.1%	(Null)97.9% 125002.1%	(Null)97.9% 141002.1%	(Null)97.9% 173002.1%	(Null)97.9% 198002.1%	(Null)97.9% 221002.1%	(Null)97.9% 324002.1%	(Null)97.9% 298002.1%	(Null)97.9% 262002.1%	(Null)97.9% 220002.1%	(Null)97.9% 251002.1%	(Null)97.9% 193002.1%	(Null)97.9% 168002.1%	(Null)97.9% 126002.1%	(Null)97.9% 155002.1%	(Null)97.9% 191002.1%	(Null)97.9% 261002.1%	(Null)97.9% 320002.1%	(Null)97.9% 446002.1%	(Null)97.9% 447002.1%	(Null)97.9% 469002.1%	(Null)97.9% 373002.1%	(Null)97.9% 443002.1%	(Null)97.9% 467002.1%	(Null)97.9% 486002.1%	(Null)97.9% 407002.1%	(Null)97.9% 478002.1%	(Null)97.9% 484002.1%	(Null)97.9% 478002.1%	(Null)97.9% 400002.1%	(Null)97.9% 465002.1%	(Null)97.9% 443002.1%	(Null)97.9% 440002.1%	(Null)97.9% 342002.1%	(Null)97.9% 402002.1%	(Null)97.9% 390002.1%	(Null)97.9% 393002.1%	(Null)97.9% 341002.1%	(Null)97.9% 379002.1%	(Null)97.9% 417002.1%	(Null)97.9% 387002.1%	(Null)97.9% 314002.1%	(Null)97.9% 409002.1%	(Null)97.9% 397002.1%	(Null)97.9% 404002.1%	(Null)97.9% 361002.1%	(Null)97.9% 473002.1%	(Null)97.9% 461002.1%	(Null)97.9% 451002.1%
Total	82200	75800	61400	82600	82200	78300	78100	89400	97400	102700	107200	127000	123100	114000	104200	93800	67000	53000	53300	42800	44400	50000	52900	53900	54700	57800	63300	58300	52100	46600	53100	50000	45300	44500	53800	50500	49200	50600	60000	63000	63700	61200	67400	63900	60500	56500	61900	52100	51100	43900	56400	47300	46800	51700	54000	55900	49300	44100	50200	45100	37300	35800	36900	26100	22900	27400	40400	42300	40900	40800	38800	39200	35700	33300	32200	33000	26100	19800	20100	19200	17500	16200	18900	15400	15400	13100	13100	12000	12100	12900	17200	16100	13900	12500	14100	17300	19800	22100	32400	29800	26200	22000	25100	19300	16800	12600	15500	19100	26100	32000	44600	44700	46900	37300	44300	46700	48600	40700	47800	48400	47800	40000	46500	44300	44000	34200	40200	39000	39300	34100	37900	41700	38700	31400	40900	39700	40400	36100	47300	46100	45100
Goods Producing Industries	18200	17200	11600	17800	17500	15600	13200	16400	17900	20800	21000	28200	27700	26900	26200	27600	15900	11000	9300	5900	7800	7600	8800	9500	11000	12300	13900	10700	9900	7900	9600	8500	8400	7200	8900	8400	8200	8700	10700	10500	11400	11700	13600	12900	12100	11700	12900	11900	12300	9600	12200	11900	11400	11800	12900	14700	13300	11200	12300	11300	10300	8500	9500	5900	4000	4500	11300	12000	12100	12400	11000	11400	11000	10100	10300	12000	8300	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	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
Manufacturing	8000	8200	6100	8700	9400	8500	6700	8500	9500	11300	12100	15900	14500	13800	13400	15200	8900	5900	5400	4600	6100	6000	6200	6900	7200	7500	9200	8300	8100	6000	7200	6200	6600	5200	6100	6200	5900	6400	6800	6800	7800	7600	9200	8900	8200	7400	8200	7700	7700	6000	7100	7700	7600	7800	8500	10300	9200	7400	8500	8900	7800	6100	6000	4300	2700	2900	7300	7700	8300	8800	7900	8400	9000	8000	8600	9300	7300	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	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	1400	1900	900	1400	1400	1300	1200	1500	1300	1600	1400	1800	1800	1700	1500	1400	800	1000	1000	500	500	700	700	600	700	600	1000	600	600	600	600	600	500	400	700	700	800	800	1000	600	600	800	1100	500	800	800	800	500	700	500	800	400	400	800	1000	600	500	700	600	400	300	200	500	300	200	200	300	500	400	400	400	400	300	400	300	300	300	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	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	200	300	300	400	500	400	400	500	500	600	500	800	1200	1100	900	1400	700	400	400	200	200	300	200	200	300	400	400	300	300	300	300	400	300	300	200	300	300	200	300	400	500	400	400	600	500	400	400	500	500	300	400	400	600	500	600	500	600	500	600	500	500	300	400	300	200	300	400	700	700	700	600	500	600	500	500	500	400	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	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	700	1100	900	1000	1400	1400	700	800	800	900	1000	1200	1100	1100	800	1000	500	500	400	500	600	700	600	600	700	600	700	800	700	400	500	400	400	400	500	500	400	500	400	700	600	500	600	500	600	400	500	500	700	400	400	500	400	400	400	500	400	300	500	400	400	300	300	300	300	300	500	500	400	300	500	500	400	300	300	400	200	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	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	1800	1400	1200	1800	1800	1800	1400	1700	2300	3400	4100	4700	3800	3100	3500	4400	2400	1200	1200	600	900	1000	1400	1600	1200	1300	1800	1900	1500	1400	1300	1100	1100	700	1000	1200	1300	1100	1300	1400	1800	2100	2700	2200	1900	2000	2500	1800	2000	1400	2100	2600	2400	2600	2000	2300	1700	1200	2100	2000	1800	1200	1500	700	500	600	2500	1800	2200	2400	2600	2000	2700	2800	2200	2400	1700	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	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	1800	1300	1400	1700	1500	1000	700	1100	1300	1600	2200	3600	3100	3000	3100	3200	1800	1300	1100	1700	2200	1500	1700	1800	1900	2100	2100	2400	2600	1900	3000	2300	2800	2300	2000	1700	1400	1500	1500	2000	2500	1600	1900	2500	2000	1700	1400	1800	1800	1600	1300	2000	1900	2000	2400	2700	2400	2300	2500	3200	2100	1200	800	1300	500	300	1200	2000	2000	2200	1600	2000	2400	2100	2800	3000	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	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	1200	1500	900	1700	2000	2000	1500	1800	2000	2000	1600	2400	2000	2000	1800	2400	1300	500	400	200	900	1400	900	1400	1400	1600	1900	1400	1600	900	900	900	900	600	900	700	900	1600	1300	800	1000	1500	1600	1600	1600	1300	1600	1500	1100	1100	1200	1300	1300	1100	1300	3100	2900	1800	1400	1400	1600	1700	1600	1000	900	900	2000	1800	2100	2200	1800	2200	1900	1500	1800	2000	1500	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	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	900	700	600	800	800	600	700	1100	1300	1300	1200	1400	1500	1800	1800	1400	1300	1000	900	800	900	500	700	700	900	800	1200	800	700	500	600	600	500	500	700	1000	800	700	900	800	800	600	900	900	800	800	900	1100	1000	700	800	500	600	500	900	700	800	700	700	1100	1100	1000	800	300	100	400	400	500	500	700	600	800	700	400	600	700	600	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	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	-
2025 1Q	20251Q	Numeric	Number	-
2024 4Q	20244Q	Numeric	Number	-
2024 3Q	20243Q	Numeric	Number	-
2024 2Q	20242Q	Numeric	Number	-
2024 1Q	20241Q	Numeric	Number	-
2023 4Q	20234Q	Numeric	Number	-
2023 3Q	20233Q	Numeric	Number	-
2023 2Q	20232Q	Numeric	Number	-
2023 1Q	20231Q	Numeric	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_f3bbdfbf92b811fff364aeed23b5e0bb"
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). Job Vacancies By Industry And Occupational Group (SSIC 2020) (End Of Period), Quarterly (2025) [Dataset]. data.gov.sg. Retrieved August 2, 2025 from https://data.gov.sg/datasets/d_f3bbdfbf92b811fff364aeed23b5e0bb/view

Data explorer

JobVacanciesByIndustryAndOccupationalGroupSSIC2020EndOfPeriodQuarterly.csv (47 rows, 42.3 KB)

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Sample OpenAPI query

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