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Economy

Number Of Financial Institutions In Singapore, Annual

Data from Jan 1989 to Dec 2025

Last updated: 13 Dec 2025, 23:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: MONETARY AUTHORITY OF SINGAPORE

Data Last Updated: 05/05/2025

Update Frequency: Annual

Footnotes: Data as at end March of each year. SGX-ST represents 'SGX - Securities Trading'. SGX-DT represents 'SGX - Derivatives Trading'.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M700411

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_c718a41412670c78793b8b7864a957c0"
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). Number Of Financial Institutions In Singapore, Annual (2025) [Dataset]. data.gov.sg. Retrieved December 25, 2025 from https://data.gov.sg/datasets/d_c718a41412670c78793b8b7864a957c0/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

Number Of Financial Institutions In Singapore, Annual

Data from Jan 1989 to Dec 2025

Last updated: 13 Dec 2025, 23:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: MONETARY AUTHORITY OF SINGAPORE

Data Last Updated: 05/05/2025

Update Frequency: Annual

Footnotes: Data as at end March of each year. SGX-ST represents 'SGX - Securities Trading'. SGX-DT represents 'SGX - Derivatives Trading'.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M700411

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Data explorer

NumberOfFinancialInstitutionsInSingaporeAnnual.csv (41 rows, 8.9 KB)

Data Series Text	2025 Text	2024 Text	2023 Text	2022 Text	2021 Text	2020 Text	2019 Text	2018 Text	2017 Text	2016 Text	2015 Text	2014 Text	2013 Text	2012 Text	2011 Text	2010 Text	2009 Text	2008 Text	2007 Text	2006 Text	2005 Text	2004 Text	2003 Text	2002 Text	2001 Text	2000 Text	1999 Text	1998 Text	1997 Text	1996 Text	1995 Text	1994 Text	1993 Text	1992 Text	1991 Text	1990 Text	1989 Text
(Null)0.0%	(Null)4.9%	(Null)2.4%	(Null)2.4%	(Null)2.4%	(Null)4.9%	(Null)4.9%	(Null)24.4%	(Null)22.0%	(Null)24.4%	(Null)24.4%	(Null)24.4%	(Null)24.4%	(Null)24.4%	(Null)31.7%	(Null)31.7%	(Null)31.7%	(Null)31.7%	(Null)36.6%	(Null)36.6%	(Null)39.0%	(Null)41.5%	(Null)41.5%	(Null)41.5%	(Null)51.2%	(Null)51.2%	(Null)53.7%	(Null)53.7%	(Null)58.5%	(Null)58.5%	(Null)58.5%	(Null)61.0%	(Null)61.0%	(Null)63.4%	(Null)63.4%	(Null)63.4%	(Null)63.4%	(Null)63.4%
Banks	133	132	132	131	131	132	131	127	128	124	126	124	123	123	120	120	114	113	108	108	111	115	117	120	133	140	142	154	152	143	140	132	128	131	137	141	136
Local	6	6	6	4	4	4	4	4	5	5	5	5	6	6	6	7	6	6	5	5	5	5	5	6	8	8	9	12	12	12	12	13	13	13	13	13	13
Full Banks	6	6	6	4	4	4	4	4	5	5	5	5	6	5	5	6	6	6	5	5	5	5	5	6	8	8	9	na	na	na	na	na	na	na	na	na	na
Wholesale Banks	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	0	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Foreign	127	126	126	127	127	128	127	123	123	119	121	119	117	117	114	113	108	107	103	103	106	110	112	114	125	132	133	142	140	131	128	119	115	118	124	128	123
Full Banks	30	30	30	30	30	29	30	29	29	28	28	28	27	26	26	25	27	24	24	24	24	23	22	22	23	23	22	22	22	22	22	22	22	22	22	22	22
Wholesale Banks	97	96	96	97	97	99	97	92	57	53	56	55	53	52	50	46	41	42	36	34	35	37	31	33	20	16	13	13	13	14	14	14	14	14	14	14	14
Offshore Banks	na	na	na	na	na	na	na	2	37	38	37	36	37	39	38	42	40	41	43	45	47	50	59	59	82	93	98	107	105	95	92	83	79	82	88	92	87
Banking Offices Including Head Offices And Main Offices	315	318	319	334	347	371	397	405	428	428	429	425	425	432	428	421	409	408	399	397	396	398	404	444	485	538	561	474	na	na	na	na	na	na	na	na	na
Finance Companies	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	5	7	11	14	15	19	19	22	23	27	27	27	27	28	30

Column legend

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

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