Motor Vehicles De-Registered Under Vehicle Quota System, Monthly
What this data shows
Published by Singapore Department of Statistics. 8 records. Fields include Data Series, 2026 Jul, 2026 Jun, 2026 May (436 columns in total). Covers 1990-05-01 to 2026-07-01. Last updated 2026-09-09.
Description
Monthly counts of motor vehicles de-registered under Singapore’s Vehicle Quota System from May 1990 through May 2026, sourced from the Land Transport Authority, including weekend/off-peak cars and tax-exempted vehicles. Transport analysts track fleet exits under COE/VQS; adapted from SingStat TableBuilder TS/M650291.
Official description
Source: LAND TRANSPORT AUTHORITY Data Last Updated: 21/08/2026 Update Frequency: Monthly Footnotes: Figures include weekend/off-peak cars & tax exempted vehicles Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M650291
- Last updated
- Coverage
- 1990-05-01 – 2026-07-01
- Rows
- 8
- Columns
- 436
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2026 Jul | 2026 Jun | 2026 May | 2026 Apr | 2026 Mar | 2026 Feb | 2026 Jan | 2025 Dec | 2025 Nov | 2025 Oct | 2025 Sep |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total Motor Vehicles De-Registered | 7530 | 7635 | 7738 | 7155 | 7317 | 5495 | 6980 | 6860 | 5745 | 6315 | 6608 |
| Category A: Cars | 3091 | 3415 | 3588 | 3275 | 3343 | 2337 | 2978 | 2677 | 2311 | 2672 | 2263 |
| Category B: Cars | 2449 | 2615 | 2806 | 2492 | 2516 | 1807 | 2303 | 2027 | 1877 | 2011 | 1974 |
| Weekend Cars/Off Peak Cars | na | na | na | na | na | na | na | na | na | na | na |
| Category C: Goods Vehicles & Buses | 864 | 729 | 588 | 566 | 577 | 499 | 621 | 997 | 607 | 759 | 913 |
| Category D: Motorcycles & Scooters | 691 | 651 | 616 | 655 | 626 | 593 | 925 | 750 | 547 | 641 | 632 |
| Taxis | 132 | 99 | 79 | 59 | 59 | 48 | 28 | 164 | 94 | 60 | 62 |
| Vehicles Exempted From VQS | 303 | 126 | 61 | 108 | 196 | 211 | 125 | 245 | 309 | 172 | 764 |
Preview shows 8 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 Jul | Text | No |
| 2026 Jun | Text | No |
| 2026 May | Text | No |
| 2026 Apr | Text | No |
| 2026 Mar | Text | No |
| 2026 Feb | Text | No |
| 2026 Jan | Text | No |
| 2025 Dec | Text | No |
| 2025 Nov | Text | No |
| 2025 Oct | Text | No |
| 2025 Sep | Text | No |
| 2025 Aug | Text | No |
| 2025 Jul | Text | No |
| 2025 Jun | Text | No |
| 2025 May | Text | No |
| 2025 Apr | Text | No |
| 2025 Mar | Text | No |
| 2025 Feb | Text | No |
| 2025 Jan | Text | No |
| 2024 Dec | Text | No |
| 2024 Nov | Text | No |
| 2024 Oct | Text | No |
| 2024 Sep | Text | No |
| 2024 Aug | Text | No |
| 2024 Jul | Text | No |
| 2024 Jun | Text | No |
| 2024 May | Text | No |
| 2024 Apr | Text | No |
| 2024 Mar | Text | No |
| 2024 Feb | Text | No |
| 2024 Jan | Text | No |
| 2023 Dec | Text | No |
| 2023 Nov | Text | No |
| 2023 Oct | Text | No |
| 2023 Sep | Text | No |
| 2023 Aug | Text | No |
| 2023 Jul | Text | No |
| 2023 Jun | Text | No |
| 2023 May | Text | No |
| 2023 Apr | Text | No |
| 2023 Mar | Text | No |
| 2023 Feb | Text | No |
| 2023 Jan | Text | No |
| 2022 Dec | Text | No |
| 2022 Nov | Text | No |
| 2022 Oct | Text | No |
| 2022 Sep | Text | No |
| 2022 Aug | Text | No |
| 2022 Jul | Text | No |
| 2022 Jun | Text | No |
| 2022 May | Text | No |
| 2022 Apr | Text | No |
| 2022 Mar | Text | No |
| 2022 Feb | Text | No |
| 2022 Jan | Text | No |
| 2021 Dec | Text | No |
| 2021 Nov | Text | No |
| 2021 Oct | Text | No |
| 2021 Sep | Text | No |
Showing the first 60 of 436 columns. Download the CSV for the full schema.