Domestic Supply Price Index, By Commodity Division (2-Digit Level), Base Year 2023 = 100, Monthly
What this data shows
Published by Singapore Department of Statistics. 57 records. Fields include Data Series, 2026 Jul, 2026 Jun, 2026 May (632 columns in total). Covers 1974-01-01 to 2026-07-01. Last updated 2026-09-08.
Description
Monthly Domestic Supply Price Index for Singapore by two-digit commodity division (base year 2023 = 100) from 1974 through May 2026. The index tracks price changes of imported and locally manufactured products retained for domestic use. Inflation and industry analysts monitor producer-side cost pressures across commodity groups. Adapted from SingStat TableBuilder TS/M213391.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 28/08/2026 Update Frequency: Monthly Footnotes: The domestic supply price index measures the change in prices of imported and locally manufactured product retained for use in the country. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M213391
- Last updated
- Coverage
- 1974-01-01 – 2026-07-01
- Rows
- 57
- Columns
- 632
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Live Animals (Excl SITC 03) | 93.317000 | 93.105000 | 89.772000 | 87.178000 | 86.606000 | 92.281000 | 88.511000 | 84.345000 | 86.287000 | 86.263000 | 86.631000 |
| Meat & Meat Preparations | 104.608000 | 105.922000 | 105.784000 | 104.861000 | 104.603000 | 104.419000 | 104.392000 | 104.412000 | 104.303000 | 103.820000 | 103.371000 |
| Dairy Products & Birds' Eggs | 103.671000 | 103.636000 | 101.898000 | 99.145000 | 98.345000 | 98.587000 | 98.633000 | 99.268000 | 99.527000 | 99.513000 | 99.112000 |
| Fish, Seafood & Preparations | 100.979000 | 100.685000 | 101.682000 | 101.202000 | 101.234000 | 99.884000 | 100.698000 | 100.658000 | 101.312000 | 101.435000 | 100.891000 |
| Cereals & Cereal Preparations | 102.510000 | 102.744000 | 102.235000 | 101.957000 | 101.697000 | 101.539000 | 100.646000 | 100.560000 | 100.685000 | 100.485000 | 99.233000 |
| Vegetables & Fruit | 99.242000 | 96.447000 | 96.061000 | 95.289000 | 95.763000 | 95.494000 | 95.170000 | 97.576000 | 95.172000 | 95.107000 | 94.296000 |
| Sugar, Sugar Preparations & Honey | 85.987000 | 84.835000 | 84.247000 | 82.629000 | 84.270000 | 84.202000 | 85.557000 | 85.562000 | 88.819000 | 89.527000 | 88.769000 |
| Coffee, Tea, Cocoa, Spices & Manufactures | 118.699000 | 118.117000 | 126.581000 | 138.346000 | 147.189000 | 150.644000 | 147.283000 | 150.734000 | 155.460000 | 158.788000 | 159.507000 |
| Animal Feeding Stuff (Excl Unmilled Cereals) | 97.131000 | 96.641000 | 95.743000 | 94.230000 | 93.810000 | 94.897000 | 95.046000 | 96.687000 | 97.205000 | 97.659000 | 99.305000 |
| Miscellaneous Food Preparations | 99.005000 | 100.868000 | 100.609000 | 100.867000 | 101.059000 | 101.070000 | 102.623000 | 103.064000 | 102.672000 | 102.643000 | 101.853000 |
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 | 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 632 columns. Download the CSV for the full schema.