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Economy

Principal Statistics Of Manufacturing By Industry Cluster - Value Added Per Worker, Annual

Data from Jan 2000 to Dec 2025

Last updated: 12 May 2026, 23:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: ECONOMIC DEVELOPMENT BOARD

Data Last Updated: 10/02/2026

Update Frequency: Annual

Footnotes: Data include all manufacturing establishments. The industries are classified according to Singapore Standard Industrial Classification (SSIC) 2025. Year 2025 data are preliminary estimates.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M355201

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_23053592b7ce4b79c9cc7a2ee8b86a44"
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). Principal Statistics Of Manufacturing By Industry Cluster - Value Added Per Worker, Annual (2026) [Dataset]. data.gov.sg. Retrieved May 23, 2026 from https://data.gov.sg/datasets/d_23053592b7ce4b79c9cc7a2ee8b86a44/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

Principal Statistics Of Manufacturing By Industry Cluster - Value Added Per Worker, Annual

Data from Jan 2000 to Dec 2025

Last updated: 12 May 2026, 23:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: ECONOMIC DEVELOPMENT BOARD

Data Last Updated: 10/02/2026

Update Frequency: Annual

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M355201

‌

data.gov.sg

Data explorer

PrincipalStatisticsOfManufacturingByIndustryClusterValueAddedPerWorkerAnnual.csv (25 rows, 5.7 KB)

Data Series Text	2025 Numeric	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	2000 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%	(Null)0.0%	(Null)0.0%
Total Manufacturing	378.6	330.9	299.5	380.3	329.2	240.2	243.9	260.7	204.8	180.2	171.1	153.1	141.4	146.5	145.8	145.4	119.9	112.1	141.5	145	132.7	129.7	105.8	102.1	92.8	113.3
Electronics	982.1	806	658.2	1040	872.7	558.4	624.6	608.6	382	233.9	277.2	258.4	235.5	213.8	209.3	256.5	176.3	163.2	169.9	189.7	174.9	157.8	134.1	133.1	119.3	168.9
Semiconductors	1335	1114	917.7	1553.9	1296.2	816	950	954.6	543.5	278	345.4	306.4	267.2	213.9	217.2	308.6	216.9	206	234.2	244.7	197.8	200.3	178.3	153.9	142.7	272.1
Computer Peripherals & Data Storage	212.8	269.3	212.8	268.9	279.2	206.5	250.5	211	204.5	191.8	275.5	222.6	243.4	234.5	218.9	206.8	167.6	128.9	108.3	146.6	142.7	125.9	111.7	125.3	108.4	136.6
Infocomms & Consumer Electronics	918.5	553.2	486.1	570.2	482.5	402.3	303.5	202.2	210	182.8	105.1	223.3	187.6	262.4	257.8	304.2	112.2	148.2	171.9	181.7	243.2	154.9	110.3	139.4	130.3	134.8
Other Electronic Modules & Components	281.8	242.6	168	201.8	213	165.1	154.8	153.9	172	171.7	150.9	136	106.6	82.5	64.5	78.5	77.1	77.8	95.2	111.9	111.3	115.5	108.6	95.3	84	98.7
Chemicals	591.5	676.1	775.3	849.7	788.3	481.2	460.5	502.9	555.4	583.4	414.9	227.5	212.2	172	226.7	269.8	209.1	134.6	313.8	310.6	325.8	328.9	223.8	211.4	179.9	211
Petroleum	1160.2	1749.6	2224.2	1798.6	1161.7	339.6	170.2	249.2	421.3	465.6	547.7	7.6	14	193.4	77.5	348.8	326.2	233.3	572.1	828.7	832.2	837.8	487.9	499.4	453.1	612.2
Petrochemicals	699.1	642.3	589.2	1187.5	1410.1	818.7	774.8	1147.4	1314.3	1325.5	665.6	338.8	193.2	147.7	477.7	431.8	246.3	29.1	603.2	468.4	580.5	599.8	337.8	264.8	215.9	248.8
Specialty Chemicals	337.2	339.7	479	523	520.5	443.9	496.5	344.4	336.3	350.3	299.6	242.6	267.3	222.3	208.2	243.7	205.1	175.8	181.1	172.6	159.8	162.8	159.5	156.3	130.8	132.1

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Thousand Dollars	-
2025	2025	Numeric	Thousand Dollars	-
2024	2024	Numeric	Thousand Dollars	-
2023	2023	Numeric	Thousand Dollars	-
2022	2022	Numeric	Thousand Dollars	-
2021	2021	Numeric	Thousand Dollars	-
2020	2020	Numeric	Thousand Dollars	-
2019	2019	Numeric	Thousand Dollars	-
2018	2018	Numeric	Thousand Dollars	-
2017	2017	Numeric	Thousand Dollars	-

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