Domestic Supply Price Index, By Commodity Division (2-Digit Level), Base Year 2023 = 100, Quarterly
What this data shows
Published by Singapore Department of Statistics. 57 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
Quarterly Domestic Supply Price Index for Singapore by 2-digit commodity division (base year 2023 = 100) from 1974 through 2026 Q1. The index tracks price changes of imported and locally manufactured products retained for domestic use. Inflation and industry analysts monitor input-price pressures across commodity groups. Adapted from SingStat TableBuilder TS/M213671.
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/M213671
- Last updated
- Coverage
- 1974-01-01 – 2026-06-30
- Rows
- 57
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Live Animals (Excl SITC 03) | 90.019000 | 89.133000 | 85.632000 | 84.722000 | 89.166000 | 89.557000 | 87.803000 | 84.481000 | 87.325000 | 87.872000 | 89.946000 |
| Meat & Meat Preparations | 105.523000 | 104.471000 | 104.178000 | 102.704000 | 102.554000 | 103.146000 | 101.629000 | 101.197000 | 101.021000 | 99.808000 | 99.853000 |
| Dairy Products & Birds' Eggs | 101.560000 | 98.522000 | 99.436000 | 98.847000 | 98.402000 | 99.537000 | 99.102000 | 97.961000 | 98.255000 | 97.882000 | 97.566000 |
| Fish, Seafood & Preparations | 101.190000 | 100.605000 | 101.135000 | 100.004000 | 100.372000 | 100.813000 | 98.609000 | 98.017000 | 100.699000 | 101.396000 | 99.564000 |
| Cereals & Cereal Preparations | 102.312000 | 101.294000 | 100.577000 | 99.255000 | 99.393000 | 100.028000 | 100.690000 | 100.145000 | 99.908000 | 100.093000 | 100.284000 |
| Vegetables & Fruit | 95.932000 | 95.476000 | 95.952000 | 95.013000 | 98.571000 | 100.340000 | 97.470000 | 97.446000 | 97.123000 | 99.660000 | 99.019000 |
| Sugar, Sugar Preparations & Honey | 83.903000 | 84.677000 | 87.969000 | 89.863000 | 93.635000 | 97.275000 | 98.434000 | 101.542000 | 104.458000 | 103.334000 | 106.336000 |
| Coffee, Tea, Cocoa, Spices & Manufactures | 127.681000 | 148.372000 | 154.994000 | 157.238000 | 162.604000 | 162.871000 | 154.859000 | 148.374000 | 131.533000 | 116.393000 | 104.586000 |
| Animal Feeding Stuff (Excl Unmilled Cereals) | 95.538000 | 94.584000 | 97.184000 | 98.825000 | 100.702000 | 105.242000 | 103.406000 | 99.537000 | 98.944000 | 98.087000 | 99.230000 |
| Miscellaneous Food Preparations | 100.782000 | 101.584000 | 102.793000 | 102.227000 | 103.988000 | 104.171000 | 100.692000 | 99.389000 | 99.842000 | 99.342000 | 100.183000 |
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 | Text | No |
| 2022 3Q | Text | No |
| 2022 2Q | Text | No |
| 2022 1Q | Text | No |
| 2021 4Q | Text | No |
| 2021 3Q | Text | No |
| 2021 2Q | Text | No |
| 2021 1Q | Text | No |
| 2020 4Q | Text | No |
| 2020 3Q | Text | No |
| 2020 2Q | Text | No |
| 2020 1Q | Text | No |
| 2019 4Q | Text | No |
| 2019 3Q | Text | No |
| 2019 2Q | Text | No |
| 2019 1Q | Text | No |
| 2018 4Q | Text | No |
| 2018 3Q | Text | No |
| 2018 2Q | Text | No |
| 2018 1Q | Text | No |
| 2017 4Q | Text | No |
| 2017 3Q | Text | No |
| 2017 2Q | Text | No |
| 2017 1Q | Text | No |
| 2016 4Q | Text | No |
| 2016 3Q | Text | No |
| 2016 2Q | Text | No |
| 2016 1Q | Text | No |
| 2015 4Q | Text | No |
| 2015 3Q | Text | No |
| 2015 2Q | Text | No |
| 2015 1Q | Text | No |
| 2014 4Q | Text | No |
| 2014 3Q | Text | No |
| 2014 2Q | Text | No |
| 2014 1Q | Text | No |
| 2013 4Q | Text | No |
| 2013 3Q | Text | No |
| 2013 2Q | Text | No |
| 2013 1Q | Text | No |
| 2012 4Q | Text | No |
| 2012 3Q | Text | No |
| 2012 2Q | Text | No |
| 2012 1Q | Text | No |
| 2011 4Q | Text | No |
Showing the first 60 of 211 columns. Download the CSV for the full schema.