Value Added Per Worker In Chained (2015) Dollars, By Industry (SSIC 2020), Quarterly
What this data shows
Published by Singapore Department of Statistics. 24 records. Fields include Data Series, 2026 2Q, 2026 1Q, 2025 4Q (143 columns in total). Covers 1991-01-01 to 2026-06-30. Last updated 2026-09-02.
Description
Quarterly value added per worker in chained (2015) dollars by industry under SSIC 2020, jointly sourced from the Singapore Department of Statistics and the Ministry of Manpower, with series from 1991 through the first quarter of 2026. Economists and productivity analysts track real labour productivity across industries and business cycles in Singapore. Adapted from SingStat TableBuilder TS/M015691.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS & MINISTRY OF MANPOWER Data Last Updated: 11/08/2026 Update Frequency: Quarterly Footnotes: VA per worker for industry is based on gross value added in chained (2015) dollars. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M015691
- Last updated
- Coverage
- 1991-01-01 – 2026-06-30
- Rows
- 24
- Columns
- 143
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 (Based On GDP In Chained (2015) Dollars) | 37512.045100 | 36782.032000 | 37614.166700 | 36691.540500 | 36101.760500 | 35258.293300 | 36186.943100 | 35625.406200 | 34730.591900 | 34225.386300 | 34885.894600 |
| Goods Producing Industries | 37452.979100 | 36040.750000 | 38455.602900 | 36809.063400 | 35401.612500 | 34776.542700 | 36363.271500 | 36187.845000 | 33018.566800 | 32930.061700 | 34933.765300 |
| Manufacturing | 67221.652900 | 63219.017000 | 69062.702500 | 64800.442100 | 61447.749400 | 60413.025900 | 62977.974000 | 62661.012300 | 55816.407900 | 55807.041000 | 59414.042600 |
| Construction | 10118.009800 | 10580.202400 | 10288.562400 | 10313.591100 | 10148.508900 | 9893.922700 | 10341.479200 | 10160.463000 | 9786.154700 | 9746.337400 | 10159.588000 |
| Services Producing Industries | 33045.738400 | 32618.947800 | 32745.096400 | 32122.576100 | 31838.393400 | 31032.269300 | 31566.417700 | 31090.930400 | 30872.575500 | 30384.949600 | 30456.085300 |
| Wholesale & Retail Trade | 52001.781900 | 51904.269300 | 51071.427000 | 48385.880200 | 47367.047900 | 45256.386600 | 46060.073100 | 45393.405600 | 44113.004500 | 43245.377600 | 43053.376700 |
| Wholesale Trade | 73247.689500 | 72836.993000 | 70960.784800 | 66826.628000 | 65420.526200 | 62570.913900 | 63527.187600 | 62837.442600 | 60933.697600 | 59678.554600 | 59125.055100 |
| Retail Trade | 11383.071300 | 12079.734400 | 12667.456800 | 11942.195100 | 11416.128800 | 11803.520900 | 12293.840700 | 11431.184900 | 11145.848500 | 11586.137700 | 12246.701000 |
| Transportation & Storage | 33950.215700 | 32432.046100 | 32032.279000 | 33439.158500 | 33706.278100 | 32539.661800 | 31710.025700 | 32791.434200 | 33129.704700 | 31313.211600 | 30884.720300 |
| Accommodation & Food Services | 9049.216400 | 9453.938500 | 9308.613800 | 9567.372900 | 8970.017000 | 9113.659600 | 9068.236600 | 9436.071100 | 8932.878000 | 9293.901700 | 9146.980800 |
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 143 columns. Download the CSV for the full schema.