Domestic Supply Price Index, By Commodity Section (1-Digit Level), Base Year 2023 = 100, Monthly
What this data shows
Published by Singapore Department of Statistics. 11 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 by one-digit commodity section for Singapore, base year 2023 = 100, spanning 1974 through May 2026 from the Singapore Department of Statistics. Tracks price changes of imported and locally manufactured goods retained for domestic use—useful for inflation and input-cost monitoring. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M213381
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/M213381
- Last updated
- Coverage
- 1974-01-01 – 2026-07-01
- Rows
- 11
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Domestic Supply Price Index - Overall Items | 129.872000 | 126.944000 | 130.810000 | 133.440000 | 129.036000 | 106.613000 | 102.790000 | 98.208000 | 99.805000 | 98.586000 | 98.112000 |
| Food & Live Animals | 102.321000 | 102.358000 | 102.618000 | 102.765000 | 103.408000 | 103.634000 | 103.477000 | 104.162000 | 104.400000 | 104.584000 | 104.062000 |
| Beverages & Tobacco | 103.557000 | 103.625000 | 104.010000 | 103.000000 | 101.381000 | 101.748000 | 102.440000 | 100.291000 | 99.871000 | 100.073000 | 99.642000 |
| Crude Materials (Excl Fuels) | 117.049000 | 119.201000 | 111.071000 | 109.178000 | 107.512000 | 105.868000 | 101.653000 | 99.792000 | 98.958000 | 97.703000 | 99.225000 |
| Mineral Fuels, Lubricants & Related Materials | 123.578000 | 120.086000 | 138.253000 | 152.945000 | 153.853000 | 84.176000 | 79.876000 | 80.007000 | 84.924000 | 81.985000 | 84.058000 |
| Animal & Vegetable Oils Fats & Waxes | 96.519000 | 97.619000 | 96.802000 | 94.770000 | 93.497000 | 93.470000 | 93.121000 | 94.936000 | 94.874000 | 94.138000 | 93.288000 |
| Chemicals & Chemical Products | 98.318000 | 101.381000 | 109.885000 | 113.010000 | 98.986000 | 87.261000 | 86.645000 | 87.918000 | 88.666000 | 88.709000 | 89.098000 |
| Manufactured Goods | 99.857000 | 100.674000 | 100.639000 | 100.249000 | 99.608000 | 98.119000 | 98.469000 | 97.153000 | 96.525000 | 96.409000 | 95.562000 |
| Machinery & Transport Equipment | 151.914000 | 146.092000 | 141.067000 | 136.860000 | 130.252000 | 127.220000 | 121.458000 | 110.524000 | 111.085000 | 110.047000 | 108.033000 |
| Miscellaneous Manufactured Articles | 111.175000 | 112.809000 | 112.293000 | 112.122000 | 111.438000 | 110.488000 | 110.069000 | 109.918000 | 108.810000 | 109.578000 | 107.204000 |
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 632 columns. Download the CSV for the full schema.