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Economy

Manufacturing Establishments By Industry, Annual

Data from Jan 1980 to Dec 2023

Last updated: 10 Jul 2025, 19:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: ECONOMIC DEVELOPMENT BOARD

Data Last Updated: 20/02/2025

Update Frequency: Annual

Footnotes: From 2002, figures include establishments with less than 10 workers. Prior to 2002, figures refer to establishments engaging 10 or more workers. Data include all manufacturing establishments. The industries are classified according to Singapore Standard Industrial Classification (SSIC) 2020.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M354841

Data explorer

ManufacturingEstablishmentsByIndustryAnnual.csv (22 rows, 6.5 KB)

Data Series Text	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	1999 Numeric	1998 Numeric	1997 Numeric	1996 Numeric	1995 Numeric	1994 Numeric	1993 Numeric	1992 Numeric	1991 Numeric	1990 Numeric	1989 Numeric	1988 Numeric	1987 Numeric	1986 Numeric	1985 Numeric	1984 Numeric	1983 Numeric	1982 Numeric	1981 Numeric	1980 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%	(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	10604	9872	9540	9175	9017	8788	9096	8988	8778	9106	9303	9577	9008	9090	9296	8640	8166	7892	8037	8725	8597	8609	4041	4044	3928	4004	4108	4068	4036	4013	3993	3917	3785	3703	3660	3624	3514	3449	3504	3648	3616	3586	3439	3355
Food, Beverage & Tobacco	1676	1381	1253	1049	1046	944	942	948	847	865	848	864	819	838	851	786	742	703	682	704	686	688	337	344	324	323	326	316	315	315	308	307	286	281	278	288	299	303	299	316	308	302	295	300
Textiles & Textile Manufactures	134	120	122	120	117	113	109	100	89	90	99	99	93	94	105	101	102	95	108	131	121	120	30	37	37	36	39	46	52	50	55	55	55	57	58	58	52	52	51	64	70	74	70	71
Wearing Apparel	380	340	346	359	372	376	400	394	362	384	412	446	446	461	502	505	494	467	507	594	589	604	126	146	146	151	168	200	237	283	320	356	360	378	381	379	384	383	383	402	407	424	394	399
Leather, Leather Products & Footwear	26	24	21	21	24	18	22	15	18	20	23	27	25	25	31	37	44	45	48	60	60	59	18	20	21	23	24	27	33	39	44	47	48	49	54	60	75	76	78	96	88	96	98	98
Wood & Wood Products	212	199	189	173	166	154	168	143	131	140	144	141	107	113	117	116	102	95	100	110	108	108	46	48	45	48	51	56	63	68	74	75	78	84	91	89	95	100	108	103	111	118	131	130
Paper & Paper Products	80	79	79	76	83	85	94	88	91	99	101	105	100	109	112	105	119	121	125	130	128	122	79	85	89	91	98	104	110	106	103	101	96	92	89	88	81	80	84	89	91	95	97	95
Printing & Reproduction Of Recorded Media	849	813	802	798	798	806	852	874	882	911	927	952	815	836	860	866	861	827	845	927	920	901	306	329	329	397	400	415	407	386	387	365	345	331	328	311	320	317	304	326	319	317	297	289
Refined Petroleum Products	18	18	18	17	18	18	18	17	17	16	14	14	14	14	14	16	16	18	17	17	17	17	18	18	18	18	19	18	20	18	16	14	14	12	8	8	9	9	10	10	9	9	10	9
Chemicals & Chemical Products	395	338	334	312	300	279	279	282	264	273	284	298	278	272	279	265	256	258	260	260	260	251	215	207	206	188	188	175	166	164	153	151	152	151	142	136	133	132	131	131	121	116	113	116

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Number	-
2023	2023	Numeric	Number	-
2022	2022	Numeric	Number	-
2021	2021	Numeric	Number	-
2020	2020	Numeric	Number	-
2019	2019	Numeric	Number	-
2018	2018	Numeric	Number	-
2017	2017	Numeric	Number	-
2016	2016	Numeric	Number	-
2015	2015	Numeric	Number	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_b58ac78d1926815a12d2574d2dcab331
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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_b58ac78d1926815a12d2574d2dcab331"
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). Manufacturing Establishments By Industry, Annual (2025) [Dataset]. data.gov.sg. Retrieved July 16, 2025 from https://data.gov.sg/datasets/d_b58ac78d1926815a12d2574d2dcab331/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)