Emergency Medical Services, Annual
Description
Annual Singapore Civil Defence Force emergency medical services statistics from 2000 through 2025, disseminated by the Singapore Department of Statistics in CSV. Categories of emergency, non-emergency, and false-alarm calls were reclassified from 2016, breaking comparability with earlier breakdowns. Public health and civil defence researchers track EMS demand and call mix over time.
Official description
Source: SINGAPORE CIVIL DEFENCE FORCE Data Last Updated: 24/02/2026 Update Frequency: Annual Footnotes: With effect from 2016, the data compiled are based on a revised classification of the following categories of calls by 'Emergency Calls', 'Non-Emergency Calls', and 'False Alarm Calls'. Due to the revised classification, the breakdown of Singapore Civil Defence Force (SCDF)'s Emergency Medical Services (EMS) statistics from 2016 are not comparable with prior figures. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M890951
- Last updated
- Coverage
- 2000-01-01 – 2025-12-31
- Rows
- 4
- Columns
- 27
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total Calls To Emergency Medical Services | 257158.000000 | 245279.000000 | 246832.000000 | 256837.000000 | 213615.000000 | 190882.000000 | 191468.000000 | 187607.000000 | 182502.000000 | 178154.000000 | 165853.000000 | 155781.000000 | 150155.000000 | 142549.000000 | 131806.000000 | 125603.000000 | 118912.000000 | 117896.000000 | 109459.000000 | 96006.000000 | 88663.000000 | 82870.000000 | 79038.000000 | 75486.000000 | 72537.000000 | 66958.000000 |
| Emergency Medical Services - Emergency Calls | 239855.000000 | 228838.000000 | 229823.000000 | 239210.000000 | 198967.000000 | 175953.000000 | 173842.000000 | 169653.000000 | 163563.000000 | 159356.000000 | 157039.000000 | 148546.000000 | 144326.000000 | 137341.000000 | 125966.000000 | 120474.000000 | 113284.000000 | 111127.000000 | 101491.000000 | 87679.000000 | 79895.000000 | 73915.000000 | 70483.000000 | 64878.000000 | 61048.000000 | 56710.000000 |
| Emergency Medical Services - Non-Emergency Calls | 11064.000000 | 10728.000000 | 10724.000000 | 11538.000000 | 9050.000000 | 8835.000000 | 10534.000000 | 10398.000000 | 11384.000000 | 11154.000000 | 6480.000000 | 4406.000000 | 2837.000000 | 2232.000000 | 2995.000000 | 2131.000000 | 2316.000000 | 2481.000000 | 4281.000000 | 5462.000000 | 6046.000000 | 6233.000000 | 5841.000000 | 7485.000000 | 8260.000000 | 6596.000000 |
| Emergency Medical Services - False Alarm Calls | 6239.000000 | 5713.000000 | 6285.000000 | 6089.000000 | 5598.000000 | 6094.000000 | 7092.000000 | 7556.000000 | 7555.000000 | 7644.000000 | 2334.000000 | 2829.000000 | 2992.000000 | 2976.000000 | 2845.000000 | 2998.000000 | 3312.000000 | 4288.000000 | 3687.000000 | 2865.000000 | 2722.000000 | 2722.000000 | 2714.000000 | 3123.000000 | 3229.000000 | 3652.000000 |
Columns
| Column | Type | Categorical |
|---|---|---|
| Data Series | Text | No |
| 2025 | Numeric | No |
| 2024 | Numeric | No |
| 2023 | Numeric | No |
| 2022 | Numeric | No |
| 2021 | Numeric | No |
| 2020 | Numeric | No |
| 2019 | Numeric | No |
| 2018 | Numeric | No |
| 2017 | Numeric | No |
| 2016 | Numeric | No |
| 2015 | Numeric | No |
| 2014 | Numeric | No |
| 2013 | Numeric | No |
| 2012 | Numeric | No |
| 2011 | Numeric | No |
| 2010 | Numeric | No |
| 2009 | Numeric | No |
| 2008 | Numeric | No |
| 2007 | Numeric | No |
| 2006 | Numeric | No |
| 2005 | Numeric | No |
| 2004 | Numeric | No |
| 2003 | Numeric | No |
| 2002 | Numeric | No |
| 2001 | Numeric | No |
| 2000 | Numeric | No |