Domestic Supply Price Index, By Commodity Section (1-Digit Level), Base Year 2023 = 100, Quarterly
What this data shows
Published by Singapore Department of Statistics. 11 records. Fields include Data Series, 2026 2Q, 2026 1Q, 2025 4Q (211 columns in total). Covers 1974-01-01 to 2026-06-30. Last updated 2026-09-08.
Description
The quarterly Domestic Supply Price Index by Commodity Section at the 1-digit level tracks changes in the prices of imported and locally manufactured products retained for use in Singapore. The index uses 2023 as its base year, with 2023 = 100, making it suitable for monitoring broad price movements across commodity sections and comparing quarterly changes against the base period. Published by the Singapore Department of Statistics, this dataset supports research on domestic supply cost trends, import and manufacturing price conditions, business and economic analysis, inflation-related studies, market monitoring, and time-series comparisons at a high-level commodity classification. It can help users researching Singapore domestic supply prices, quarterly commodity price indexes, producer or import-related price trends, 2023-based price index data, and official SingStat economic statistics. The data was last updated on 29/05/2026, is updated quarterly, and is adapted from SingStat table TS/M213661.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 28/08/2026 Update Frequency: Quarterly 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/M213661
- Last updated
- Coverage
- 1974-01-01 – 2026-06-30
- Rows
- 11
- Columns
- 211
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2026 2Q | 2026 1Q | 2025 4Q | 2025 3Q | 2025 2Q | 2025 1Q | 2024 4Q | 2024 3Q | 2024 2Q | 2024 1Q | 2023 4Q |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Domestic Supply Price Index - Overall Items | 130.398000 | 112.813000 | 98.866000 | 97.641000 | 98.809000 | 103.468000 | 97.650000 | 96.899000 | 101.760000 | 98.645000 | 100.142000 |
| Food & Live Animals | 102.580000 | 103.506000 | 104.382000 | 103.777000 | 105.204000 | 106.105000 | 104.024000 | 102.845000 | 101.920000 | 101.028000 | 99.998000 |
| Beverages & Tobacco | 103.545000 | 101.856000 | 100.079000 | 99.546000 | 99.569000 | 98.713000 | 96.620000 | 97.784000 | 98.481000 | 98.177000 | 100.505000 |
| Crude Materials (Excl Fuels) | 113.150000 | 105.011000 | 98.818000 | 98.119000 | 98.914000 | 97.072000 | 96.985000 | 97.720000 | 97.837000 | 97.589000 | 97.185000 |
| Mineral Fuels, Lubricants & Related Materials | 137.095000 | 105.968000 | 82.305000 | 83.640000 | 81.969000 | 93.408000 | 89.999000 | 94.886000 | 102.878000 | 99.136000 | 101.719000 |
| Animal & Vegetable Oils Fats & Waxes | 96.397000 | 93.363000 | 94.649000 | 92.568000 | 93.518000 | 93.223000 | 91.011000 | 87.446000 | 96.150000 | 93.714000 | 98.734000 |
| Chemicals & Chemical Products | 108.092000 | 90.964000 | 88.431000 | 88.682000 | 91.002000 | 95.415000 | 95.136000 | 96.162000 | 99.153000 | 98.846000 | 99.648000 |
| Manufactured Goods | 100.521000 | 98.732000 | 96.696000 | 95.343000 | 95.710000 | 97.064000 | 96.472000 | 96.864000 | 97.913000 | 97.621000 | 98.554000 |
| Machinery & Transport Equipment | 141.340000 | 126.310000 | 110.552000 | 107.638000 | 110.813000 | 113.916000 | 103.737000 | 98.593000 | 103.274000 | 98.521000 | 99.900000 |
| Miscellaneous Manufactured Articles | 112.408000 | 110.665000 | 109.435000 | 105.932000 | 104.864000 | 98.706000 | 94.545000 | 94.599000 | 96.544000 | 98.313000 | 99.632000 |
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 2Q | Numeric | No |
| 2026 1Q | Numeric | No |
| 2025 4Q | Numeric | No |
| 2025 3Q | Numeric | No |
| 2025 2Q | Numeric | No |
| 2025 1Q | Numeric | No |
| 2024 4Q | Numeric | No |
| 2024 3Q | Numeric | No |
| 2024 2Q | Numeric | No |
| 2024 1Q | Numeric | No |
| 2023 4Q | Numeric | No |
| 2023 3Q | Numeric | No |
| 2023 2Q | Numeric | No |
| 2023 1Q | Numeric | No |
| 2022 4Q | Numeric | No |
| 2022 3Q | Numeric | No |
| 2022 2Q | Numeric | No |
| 2022 1Q | Numeric | No |
| 2021 4Q | Numeric | No |
| 2021 3Q | Numeric | No |
| 2021 2Q | Numeric | No |
| 2021 1Q | Numeric | No |
| 2020 4Q | Numeric | No |
| 2020 3Q | Numeric | No |
| 2020 2Q | Numeric | No |
| 2020 1Q | Numeric | No |
| 2019 4Q | Numeric | No |
| 2019 3Q | Numeric | No |
| 2019 2Q | Numeric | No |
| 2019 1Q | Numeric | No |
| 2018 4Q | Numeric | No |
| 2018 3Q | Numeric | No |
| 2018 2Q | Numeric | No |
| 2018 1Q | Numeric | No |
| 2017 4Q | Numeric | No |
| 2017 3Q | Numeric | No |
| 2017 2Q | Numeric | No |
| 2017 1Q | Numeric | No |
| 2016 4Q | Numeric | No |
| 2016 3Q | Numeric | No |
| 2016 2Q | Numeric | No |
| 2016 1Q | Numeric | No |
| 2015 4Q | Numeric | No |
| 2015 3Q | Numeric | No |
| 2015 2Q | Numeric | No |
| 2015 1Q | Numeric | No |
| 2014 4Q | Numeric | No |
| 2014 3Q | Numeric | No |
| 2014 2Q | Numeric | No |
| 2014 1Q | Numeric | No |
| 2013 4Q | Numeric | No |
| 2013 3Q | Numeric | No |
| 2013 2Q | Numeric | No |
| 2013 1Q | Numeric | No |
| 2012 4Q | Numeric | No |
| 2012 3Q | Numeric | No |
| 2012 2Q | Numeric | No |
| 2012 1Q | Numeric | No |
| 2011 4Q | Numeric | No |
Showing the first 60 of 211 columns. Download the CSV for the full schema.