Road Traffic Accident Casualties, Monthly
What this data shows
Published by Singapore Department of Statistics. 30 records. Fields include Data Series, 2026 May, 2026 Apr, 2026 Mar (210 columns in total). Covers 2009-01-01 to 2026-05-01. Last updated 2026-08-08.
Description
Monthly road traffic accident casualties in Singapore from January 2009 through May 2026, sourced from the Singapore Police Force via SingStat. Casualties count people injured or who died within 30 days of a road traffic accident. Road-safety researchers and transport planners monitor injury and fatality trends over more than fifteen years. Adapted from SingStat TableBuilder TS/M650331.
Official description
Source: SINGAPORE POLICE FORCE Data Last Updated: 29/06/2026 Update Frequency: Monthly Footnotes: Road traffic accident casualties refer to the number of people who were injured or passed away (within 30 days) due to road traffic accidents. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M650331
- Last updated
- Coverage
- 2009-01-01 – 2026-05-01
- Rows
- 30
- Columns
- 210
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2026 May | 2026 Apr | 2026 Mar | 2026 Feb | 2026 Jan | 2025 Dec | 2025 Nov | 2025 Oct | 2025 Sep | 2025 Aug | 2025 Jul |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total Casualties Fatalities | 11.000000 | 8.000000 | 13.000000 | 7.000000 | 14.000000 | 11.000000 | 13.000000 | 13.000000 | 12.000000 | 10.000000 | 11.000000 |
| Pedestrians | 1.000000 | 3.000000 | 3.000000 | 3.000000 | 5.000000 | 5.000000 | 4.000000 | 1.000000 | 3.000000 | 2.000000 | 2.000000 |
| Personal Mobility Device Users | 1.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 |
| Cyclists & Pillions | 1.000000 | 0.000000 | 1.000000 | 0.000000 | 1.000000 | 1.000000 | 4.000000 | 0.000000 | 1.000000 | 1.000000 | 0.000000 |
| Motor Cyclists & Pillion Riders | 6.000000 | 3.000000 | 4.000000 | 3.000000 | 7.000000 | 4.000000 | 5.000000 | 10.000000 | 5.000000 | 4.000000 | 8.000000 |
| Motor Cars And Station Wagons | 1.000000 | 1.000000 | 1.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 2.000000 | 1.000000 | 1.000000 | 0.000000 |
| Goods Vans & Pick-Ups | 1.000000 | 1.000000 | 2.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.000000 |
| Goods Vans | 1.000000 | 1.000000 | 2.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.000000 |
| Pick-Ups | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| Lorries, Tipper Trucks & Trailers | 0.000000 | 0.000000 | 1.000000 | 1.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 1.000000 | 1.000000 | 0.000000 |
Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Data Series | Text | No |
| 2026 May | Numeric | No |
| 2026 Apr | Numeric | No |
| 2026 Mar | Numeric | No |
| 2026 Feb | Numeric | No |
| 2026 Jan | Numeric | No |
| 2025 Dec | Numeric | No |
| 2025 Nov | Numeric | No |
| 2025 Oct | Numeric | No |
| 2025 Sep | Numeric | No |
| 2025 Aug | Numeric | No |
| 2025 Jul | Numeric | No |
| 2025 Jun | Numeric | No |
| 2025 May | Numeric | No |
| 2025 Apr | Numeric | No |
| 2025 Mar | Numeric | No |
| 2025 Feb | Numeric | No |
| 2025 Jan | Numeric | No |
| 2024 Dec | Numeric | No |
| 2024 Nov | Numeric | No |
| 2024 Oct | Numeric | No |
| 2024 Sep | Numeric | No |
| 2024 Aug | Numeric | No |
| 2024 Jul | Numeric | No |
| 2024 Jun | Numeric | No |
| 2024 May | Numeric | No |
| 2024 Apr | Numeric | No |
| 2024 Mar | Numeric | No |
| 2024 Feb | Numeric | No |
| 2024 Jan | Numeric | No |
| 2023 Dec | Numeric | No |
| 2023 Nov | Numeric | No |
| 2023 Oct | Numeric | No |
| 2023 Sep | Numeric | No |
| 2023 Aug | Numeric | No |
| 2023 Jul | Numeric | No |
| 2023 Jun | Numeric | No |
| 2023 May | Numeric | No |
| 2023 Apr | Numeric | No |
| 2023 Mar | Numeric | No |
| 2023 Feb | Numeric | No |
| 2023 Jan | Numeric | No |
| 2022 Dec | Numeric | No |
| 2022 Nov | Numeric | No |
| 2022 Oct | Numeric | No |
| 2022 Sep | Numeric | No |
| 2022 Aug | Numeric | No |
| 2022 Jul | Numeric | No |
| 2022 Jun | Numeric | No |
| 2022 May | Numeric | No |
| 2022 Apr | Numeric | No |
| 2022 Mar | Numeric | No |
| 2022 Feb | Numeric | No |
| 2022 Jan | Numeric | No |
| 2021 Dec | Numeric | No |
| 2021 Nov | Numeric | No |
| 2021 Oct | Numeric | No |
| 2021 Sep | Numeric | No |
| 2021 Aug | Numeric | No |
| 2021 Jul | Numeric | No |
Showing the first 60 of 210 columns. Download the CSV for the full schema.