Re-Exports By Commodity Division, Monthly
What this data shows
Published by Singapore Department of Statistics. 27 records. Fields include Data Series, 2026 Jul, 2026 Jun, 2026 May (608 columns in total). Covers 1976-01-01 to 2026-07-01. Last updated 2026-09-10.
Description
Monthly Singapore re-exports by commodity division from January 1976 through May 2026, sourced from Enterprise Singapore via SingStat. Pre-2003 series exclude merchandise trade with Indonesia; classification follows SITC 3 then SITC 4.1 / AHTN 2022. Trade analysts track re-export composition over time. Adapted from SingStat TableBuilder TS/M451091.
Official description
Source: ENTERPRISE SINGAPORE Data Last Updated: 17/08/2026 Update Frequency: Monthly Footnotes: Prior to 2003, merchandise trade data exclude Singapore's merchandise trade with Indonesia. Data prior to 1999 are based on Standard International Trade Classification (SITC) 3. Data from 1999 onwards are based on SITC 4.1 and consistent with the ASEAN Harmonised Tariff Nomenclature (AHTN) 2022 version. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M451091
- Last updated
- Coverage
- 1976-01-01 – 2026-07-01
- Rows
- 27
- Columns
- 608
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fish, Seafood (Excl Marine Mammals) & Preparations | 19984.000000 | 22939.000000 | 17069.000000 | 19036.000000 | 17356.000000 | 16753.000000 | 20740.000000 | 24778.000000 | 18286.000000 | 19479.000000 | 15840.000000 |
| Vegetables & Fruit | 29180.000000 | 28629.000000 | 23050.000000 | 25584.000000 | 19025.000000 | 17907.000000 | 23634.000000 | 29716.000000 | 29734.000000 | 30544.000000 | 29320.000000 |
| Coffee, Tea, Cocoa, Spices & Manufactures | 43802.000000 | 51676.000000 | 47694.000000 | 51721.000000 | 40020.000000 | 27582.000000 | 49304.000000 | 48025.000000 | 40202.000000 | 42364.000000 | 34699.000000 |
| Beverages | 274543.000000 | 310821.000000 | 265366.000000 | 248878.000000 | 248682.000000 | 193761.000000 | 318015.000000 | 309799.000000 | 321085.000000 | 296848.000000 | 287750.000000 |
| Tobacco & Manufactures | 84567.000000 | 75010.000000 | 97586.000000 | 76739.000000 | 59498.000000 | 49389.000000 | 67040.000000 | 69774.000000 | 55352.000000 | 56111.000000 | 53075.000000 |
| Crude Rubber | 12377.000000 | 17071.000000 | 12117.000000 | 12664.000000 | 13726.000000 | 13249.000000 | 10588.000000 | 15908.000000 | 14404.000000 | 17679.000000 | 13704.000000 |
| Crude Fertilizers & Minerals (Excl Division 56 Coal Petroleum & Precious Stones) | 9362.000000 | 8711.000000 | 6582.000000 | 7324.000000 | 6514.000000 | 4797.000000 | 4356.000000 | 9444.000000 | 3852.000000 | 4110.000000 | 3535.000000 |
| Metalliferous Ores & Metal Scrap | 12856.000000 | 13659.000000 | 26728.000000 | 11478.000000 | 12222.000000 | 5190.000000 | 14635.000000 | 8572.000000 | 10148.000000 | 12889.000000 | 18916.000000 |
| Crude Animal & Vegetable Materials Nes | 8246.000000 | 9535.000000 | 10613.000000 | 8386.000000 | 8594.000000 | 9241.000000 | 6753.000000 | 7264.000000 | 10014.000000 | 10861.000000 | 8233.000000 |
| Petroleum & Products & Related Materials | 2463856.000000 | 2580538.000000 | 2553921.000000 | 1871304.000000 | 481654.000000 | 228991.000000 | 210672.000000 | 114285.000000 | 110217.000000 | 84456.000000 | 68119.000000 |
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 Jul | Numeric | No |
| 2026 Jun | Numeric | 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 |
Showing the first 60 of 608 columns. Download the CSV for the full schema.