Compensation Of Employees By Industry At Current Prices, Quarterly
What this data shows
Published by Singapore Department of Statistics. 24 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 2026-09-07.
Description
This quarterly SingStat table reports compensation of employees by industry at current prices from 1980 through the first quarter of 2026. Industries follow SSIC 2020 classifications, with time periods presented across columns. The series supports analysis of labour income, industry contributions and long-run changes in Singapore's national accounts.
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 national accounts methodologies, please visit Singstat website (https://www.singstat.gov.sg/find-data/explore-data-themes/economy-prices/national-accounts/related-information) to view and download related publications. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M015971
- Last updated
- Coverage
- 1980-01-01 – 2026-06-30
- Rows
- 24
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 73621.700000 | 81608.900000 | 78948.800000 | 71512.400000 | 69881.400000 | 77692.100000 | 75303.200000 | 68053.000000 | 66640.400000 | 74095.900000 | 70477.800000 |
| Manufacturing | 7719.000000 | 8813.500000 | 9019.300000 | 7377.200000 | 7472.400000 | 8581.800000 | 8714.300000 | 7100.300000 | 7171.200000 | 8220.100000 | 8350.800000 |
| Construction | 4968.600000 | 5640.200000 | 5360.000000 | 4654.900000 | 4530.900000 | 5147.200000 | 4924.000000 | 4289.100000 | 4203.300000 | 4806.600000 | 4561.600000 |
| Utilities | 505.300000 | 596.500000 | 552.600000 | 526.100000 | 502.800000 | 582.900000 | 520.300000 | 513.400000 | 475.800000 | 576.700000 | 504.800000 |
| Other Goods Industries | 25.300000 | 28.300000 | 25.300000 | 24.000000 | 24.100000 | 25.600000 | 23.700000 | 21.700000 | 22.300000 | 23.800000 | 22.400000 |
| Wholesale & Retail Trade | 9223.000000 | 10218.800000 | 10312.100000 | 8660.000000 | 8818.500000 | 9789.500000 | 9871.700000 | 8354.700000 | 8503.400000 | 9473.200000 | 9410.500000 |
| Wholesale Trade | 7627.900000 | 8663.200000 | 8606.600000 | 6990.300000 | 7299.400000 | 8322.000000 | 8259.700000 | 6773.500000 | 7066.200000 | 8079.600000 | 7892.900000 |
| Retail Trade | 1595.100000 | 1555.600000 | 1705.500000 | 1669.700000 | 1519.100000 | 1467.500000 | 1612.000000 | 1581.200000 | 1437.200000 | 1393.600000 | 1517.600000 |
| Transportation & Storage | 4479.000000 | 4601.000000 | 4522.200000 | 4453.100000 | 4292.900000 | 4350.900000 | 4337.900000 | 4354.700000 | 4118.700000 | 4298.300000 | 4150.200000 |
| Accommodation & Food Services | 2008.400000 | 2263.800000 | 2195.700000 | 1975.400000 | 1965.900000 | 2208.700000 | 2125.600000 | 1906.200000 | 1873.200000 | 2105.400000 | 2027.000000 |
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.