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Economy

Formation Of All Business Entities By Industry, Annual

Data from Jan 1990 to Dec 2025

Last updated: 11 Mar 2026, 22:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: ACCOUNTING AND CORPORATE REGULATORY AUTHORITY

Data Last Updated: 20/01/2026

Update Frequency: Annual

Footnotes: Business entities refer to companies, sole-proprietorships & partnerships, limited liability partnerships, limited partnerships, public accounting firms and variable capital companies. The decrease in the business formation and cessation counts in December 2024 was due to a temporary suspension of (a) all eServices on Bizfile portal including those relating to business registration and cessation to facilitate IT system migration activities carried out in first week of December; and (b) ACRA's periodic exercise to remove from the public register business entities that failed to renew their registrations and companies that were dormant.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M085641

Data explorer

FormationOfAllBusinessEntitiesByIndustryAnnual.csv (16 rows, 4.5 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
1999
Numeric
1998
Numeric
1997
Numeric
1996
Numeric
1995
Numeric
1994
Numeric
1993
Numeric
1992
Numeric
1991
Numeric
1990
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%
Total781467168770399643056543863480615736180462113649316490277380602015674955776537215322749884497334557442953422533933936610332063644634926299213214932785311823145330289271082575724101
Manufacturing258324152555243726632471210219192011207822462663238822132382243024022704252222811976171815681678203023852105195821022309238123652440228423382350
Construction371834873562326130192402271627162850303232683606343933063389345932063197306326002290219522252426285634983903351240384267355031773161279431192417
Wholesale Trade120481187611145932283371100110420101669786938896951286810472101921023499601015294599523956198341024398528719753276317831700976017892814289158718803373637012
Retail Trade7701641761455183827189435798521654185827652912037657160475658526754104653457746984440420639794255372138824184372635383503349035823683344532063349
Transportation & Storage3886279827462588286829242970301477391147286723381248622802267210921822293231419061902188417321629160216311697144516441712169617301648150714391345
Accommodation111104104746463101103958391911201301151031021671097955845252346432385361434136291821
Food & Beverage Services4103379536693335393432852985334132982968303433672879290528782959301628352971250322882245204618731843143615421426146315231388124911991071929826
Information & Communications9991969694059056786966606834819554805251539771505028414538763550317028782854290025612399253324832250388426121481146713051030892845705643542
Finance & Insurance73376744721083098349600264675866501545264749492353095331522448083513379545023284258821991592112411131745118383514151573153616551315851668811

Column legend

Title
Column name
Data type
Unit of measure
Description
Data SeriesDataSeriesTextNumber-
20252025NumericNumber-
20242024NumericNumber-
20232023NumericNumber-
20222022NumericNumber-
20212021NumericNumber-
20202020NumericNumber-
20192019NumericNumber-
20182018NumericNumber-
20172017NumericNumber-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_83b7cf1a1d8ef3e55c363e0d06dbcea5
  2. 2. Click on the button below

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_83b7cf1a1d8ef3e55c363e0d06dbcea5"
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). Formation Of All Business Entities By Industry, Annual (2026) [Dataset]. data.gov.sg. Retrieved April 4, 2026 from https://data.gov.sg/datasets/d_83b7cf1a1d8ef3e55c363e0d06dbcea5/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)