Unit Business Cost Index Of Manufacturing (2015 = 100), Quarterly
What this data shows
Published by Singapore Department of Statistics. 4 records. Fields include Data Series, 2026 2Q, 2026 1Q, 2025 4Q (187 columns in total). Covers 1980-01-01 to 2026-06-30. Last updated 2026-09-02.
Description
Quarterly Unit Business Cost Index of manufacturing (2015 = 100), seasonally relevant series from 1980 through 2026 Q1 with a documented trend break from Q1 2010. Singapore manufacturers and economists track unit cost pressures. Adapted from SingStat TableBuilder TS/M183691.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 11/08/2026 Update Frequency: Quarterly Footnotes: Methodological improvements accounting for both labour and non-labour productivity changes have been incorporated in the UBCI from Q1 2010, resulting in a trend break (or level shift). A trend break correction has been made to maintain the continuity of the series. For more information on UBCI methodologies, please visit Singstat website (https://www.singstat.gov.sg/find-data/explore-data-themes/industry/manufacturing/related-information) to view and download related publications. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M183691
- Last updated
- Coverage
- 1980-01-01 – 2026-06-30
- Rows
- 4
- Columns
- 187
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Unit Business Cost Index Of Manufacturing | 90.000000 | 94.900000 | 90.200000 | 89.000000 | 92.200000 | 93.900000 | 92.100000 | 83.600000 | 93.700000 | 95.600000 | 90.800000 |
| Unit Labour Cost Of Manufacturing | 71.500000 | 86.600000 | 81.600000 | 72.200000 | 77.600000 | 90.300000 | 87.800000 | 72.500000 | 82.300000 | 93.900000 | 89.000000 |
| Unit Services Cost | 96.700000 | 97.200000 | 93.200000 | 95.200000 | 97.500000 | 94.600000 | 93.600000 | 87.600000 | 97.800000 | 95.500000 | 91.600000 |
| Unit Non-Labour Production Taxes | 140.300000 | 211.600000 | 116.300000 | 113.400000 | 119.800000 | 197.700000 | 117.400000 | 116.300000 | 129.100000 | 212.300000 | 72.700000 |
Preview shows 4 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 187 columns. Download the CSV for the full schema.