Secure websites use HTTPS
View results from GE2025 and explore the electoral boundaries and more in our interactive map.
Data from Jan 1989 to Dec 2024Updated 6 months ago
SINGSTAT (Singapore Department of Statistics)Source: MONETARY AUTHORITY OF SINGAPORE
Data Last Updated: 31/05/2024
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
Data Series Text | 2024 Numeric | 2023 Numeric | 2022 Numeric | 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)0.0% | (Null)0.0% | (Null)0.0% | (Null)2.4% | (Null)2.4% | (Null)22.0% | (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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 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 | 5 | 7 | 11 | 14 | 15 | 19 | 19 | 22 | 23 | 27 | 27 | 27 | 27 | 28 | 30 |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Data Series | DataSeries | Text | Number | - |
2024 | 2024 | Numeric | Number | - |
2023 | 2023 | Numeric | Number | - |
2022 | 2022 | Numeric | Number | - |
2021 | 2021 | Text | Number | - |
2020 | 2020 | Text | Number | - |
2019 | 2019 | Text | Number | - |
2018 | 2018 | Text | Number | - |
2017 | 2017 | Text | Number | - |
2016 | 2016 | Text | Number | - |
2015 | 2015 | Text | Number | - |
2014 | 2014 | Text | Number | - |
2013 | 2013 | Text | Number | - |
2012 | 2012 | Text | Number | - |
2011 | 2011 | Text | Number | - |
2010 | 2010 | Text | Number | - |
2009 | 2009 | Text | Number | - |
2008 | 2008 | Text | Number | - |
2007 | 2007 | Text | Number | - |
2006 | 2006 | Text | Number | - |
2005 | 2005 | Text | Number | - |
2004 | 2004 | Text | Number | - |
2003 | 2003 | Text | Number | - |
2002 | 2002 | Text | Number | - |
2001 | 2001 | Text | Number | - |
2000 | 2000 | Text | Number | - |
1999 | 1999 | Text | Number | - |
1998 | 1998 | Text | Number | - |
1997 | 1997 | Text | Number | - |
1996 | 1996 | Text | Number | - |
1995 | 1995 | Text | Number | - |
1994 | 1994 | Text | Number | - |
1993 | 1993 | Text | Number | - |
1992 | 1992 | Text | Number | - |
1991 | 1991 | Text | Number | - |
1990 | 1990 | Text | Number | - |
1989 | 1989 | Text | Number | - |
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())
This dataset can be reused and cited in research publications.
24 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.