Unit Labour Cost Index (2015 = 100), Quarterly
What this data shows
Published by Singapore Department of Statistics. 26 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 labour cost index for Singapore with base year 2015 = 100, published by the Singapore Department of Statistics in CSV format from 1980 through 2026 Q1. Industries follow SSIC 2020; methodology is documented on Singstat. Supports competitiveness analysis, wage–productivity monitoring, and macro labour cost trends.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 11/08/2026 Update Frequency: Quarterly Footnotes: The industries are classified according to SSIC 2020. For more information on ULCI methodologies, please visit Singstat website (https://www.singstat.gov.sg/find-data/explore-data-themes/economy-prices/labour-employment-wages-and-productivity/related-information) to view and download related publications. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M183741
- Last updated
- Coverage
- 1980-01-01 – 2026-06-30
- Rows
- 26
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Unit Labour Cost Of Overall Economy | 112.900000 | 127.000000 | 121.200000 | 113.500000 | 113.400000 | 128.500000 | 122.100000 | 112.600000 | 113.900000 | 127.800000 | 120.000000 |
| Unit Labour Cost Of Goods Producing Industries | 85.800000 | 101.100000 | 94.800000 | 85.300000 | 89.500000 | 103.400000 | 98.100000 | 84.300000 | 92.300000 | 105.300000 | 97.800000 |
| 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 Labour Cost Of Construction | 138.600000 | 148.600000 | 147.900000 | 132.300000 | 133.300000 | 153.200000 | 141.400000 | 128.600000 | 131.800000 | 148.900000 | 136.600000 |
| Unit Labour Cost Of Utilities | 122.700000 | 148.500000 | 133.900000 | 127.500000 | 123.100000 | 148.300000 | 128.100000 | 125.500000 | 116.800000 | 148.900000 | 129.300000 |
| Unit Labour Cost Of Other Goods Industries | 136.400000 | 143.500000 | 129.300000 | 128.700000 | 132.200000 | 135.900000 | 119.800000 | 116.000000 | 118.000000 | 126.100000 | 111.500000 |
| Unit Labour Cost Of Services Producing Industries | 121.400000 | 135.000000 | 129.700000 | 122.400000 | 120.700000 | 136.400000 | 129.700000 | 121.600000 | 120.400000 | 134.700000 | 127.200000 |
| Unit Labour Cost Of Wholesale & Retail Trade | 102.700000 | 112.800000 | 114.900000 | 102.400000 | 106.000000 | 122.100000 | 120.700000 | 104.200000 | 108.400000 | 121.800000 | 121.600000 |
| Unit Labour Cost Of Wholesale Trade | 99.700000 | 112.600000 | 113.300000 | 97.600000 | 103.500000 | 122.900000 | 119.800000 | 100.000000 | 106.500000 | 123.200000 | 121.600000 |
| Unit Labour Cost Of Retail Trade | 149.800000 | 136.800000 | 143.400000 | 150.900000 | 144.000000 | 132.300000 | 138.900000 | 146.600000 | 136.900000 | 126.100000 | 129.300000 |
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 187 columns. Download the CSV for the full schema.