Import Price Index, By Commodity Group (3-Digit Level), Base Year 2023 = 100, Quarterly
What this data shows
Published by Singapore Department of Statistics. 169 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 Import Price Index for Singapore at three-digit commodity group level, rebased to 2023=100, from the Singapore Department of Statistics. Long history from 1974 supports inflation pass-through analysis, trade-weighted price shocks, and comparison across import categories. Economists and businesses monitoring landed cost pressures use the wide quarterly matrix alongside other SingStat price indices.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 28/08/2026 Update Frequency: Quarterly Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M213561
- Last updated
- Coverage
- 1974-01-01 – 2026-06-30
- Rows
- 169
- 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 | 89.644000 | 88.713000 | 84.906000 | 83.828000 | 88.470000 | 88.916000 | 87.107000 | 83.540000 | 86.483000 | 86.535000 | 88.715000 |
| Meat Of Bovine Animals, Fresh, Chilled Or Frozen | 111.415000 | 106.835000 | 102.875000 | 99.256000 | 103.606000 | 103.083000 | 102.419000 | 101.979000 | 103.336000 | 100.354000 | 98.916000 |
| Other Meat & Edible Meat Offal, Fresh, Chilled Or Frozen Excl Meat & Meat Offal... | 110.093000 | 109.457000 | 110.078000 | 107.984000 | 106.411000 | 108.203000 | 105.272000 | 104.589000 | 103.440000 | 101.238000 | 101.209000 |
| Meat & Edible Meat Offal, Prepared Or Preserved Nes | 98.098000 | 97.998000 | 98.218000 | 97.594000 | 97.838000 | 99.506000 | 98.758000 | 98.335000 | 99.774000 | 99.714000 | 99.488000 |
| Milk & Cream & Milk Products Other Than Butter Or Cheese | 103.265000 | 98.008000 | 99.331000 | 99.142000 | 99.035000 | 100.455000 | 98.839000 | 97.777000 | 98.420000 | 96.351000 | 95.924000 |
| Butter & Other Fats & Oils Derived From Milk | 110.721000 | 111.824000 | 114.140000 | 112.573000 | 109.967000 | 110.129000 | 110.570000 | 108.873000 | 104.107000 | 97.915000 | 99.200000 |
| Cheese & Curd | 98.147000 | 98.209000 | 97.182000 | 96.125000 | 95.950000 | 96.158000 | 96.440000 | 96.802000 | 96.380000 | 97.537000 | 98.220000 |
| Eggs, Birds, & Egg Yolks, Fresh, Dried Or Otherwise Preserved, Sweetened Or Not;... | 81.077000 | 81.349000 | 80.630000 | 80.540000 | 82.358000 | 85.776000 | 86.068000 | 86.840000 | 86.555000 | 90.172000 | 96.250000 |
| Fish, Fresh (Live Or Dead), Chilled Or Frozen | 100.932000 | 99.994000 | 99.655000 | 96.082000 | 98.914000 | 100.658000 | 97.535000 | 96.240000 | 101.494000 | 102.435000 | 97.725000 |
| Fish, Dried, Salted Or In Brine; Smoked Fish (Cooked Or Uncooked Before Or Durin... | 106.160000 | 101.666000 | 101.563000 | 100.884000 | 99.908000 | 99.402000 | 98.363000 | 98.038000 | 99.207000 | 98.327000 | 99.938000 |
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.