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Economy

Value Added Per Actual Hour Worked In Chained (2015) Dollars By Industry, Quarterly

Data from Jan 2017 to Mar 2025

Last updated: 10 Jul 2025, 23:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS, MINISTRY OF MANPOWER

Data Last Updated: 22/05/2025

Update Frequency: Quarterly

Footnotes: The industries are classified according to SSIC 2020. For further details on the computation of VA per AHW, see Teo and Ong (2019), 'Trends in Value-Added (VA) Per Actual Hour Worked (AHW)', Economic Survey of Singapore 2018.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M015871

Data explorer

ValueAddedPerActualHourWorkedInChained2015DollarsByIndustryQuarterly.csv (22 rows, 8 KB)

Data Series
Text
2025 1Q
Numeric
2024 4Q
Numeric
2024 3Q
Numeric
2024 2Q
Numeric
2024 1Q
Numeric
2023 4Q
Numeric
2023 3Q
Numeric
2023 2Q
Numeric
2023 1Q
Numeric
2022 4Q
Numeric
2022 3Q
Numeric
2022 2Q
Numeric
2022 1Q
Numeric
2021 4Q
Numeric
2021 3Q
Numeric
2021 2Q
Numeric
2021 1Q
Numeric
2020 4Q
Numeric
2020 3Q
Numeric
2020 2Q
Numeric
2020 1Q
Numeric
2019 4Q
Numeric
2019 3Q
Numeric
2019 2Q
Numeric
2019 1Q
Numeric
2018 4Q
Numeric
2018 3Q
Numeric
2018 2Q
Numeric
2018 1Q
Numeric
2017 4Q
Numeric
2017 3Q
Numeric
2017 2Q
Numeric
2017 1Q
Numeric
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
Total62.873963.437961.876961.269860.653161.416659.233858.906659.028859.430759.158861.431963.040762.280260.025560.55661.132357.913756.057957.683654.822154.661753.881555.450956.436755.570454.959456.575456.219555.018953.718352.937953.0745
Manufacturing109.7566118.2353115.785105.1778105.1047110.3141101.8367102.0254104.1454104.6082107.1488116.5616118.0029116.1555113.2451112.6825112.063698.168105.7491107.837390.836881.835484.841487.181986.109885.917986.583989.700185.429481.22183.187776.297275.4475
Construction17.336317.402617.018116.362216.457716.784616.358415.702316.472516.416116.597216.547518.480818.396217.101816.78816.832113.763310.735417.433516.784918.365417.544718.128520.035618.979917.918817.708119.356318.417916.981616.577817.6176
Wholesale & Retail Trade91.352489.642287.315187.491484.386584.399882.233581.990981.8581.932280.04381.242285.322480.579476.409378.653579.715475.005467.836775.952266.92467.773565.349567.094469.214669.46165.912967.845466.223368.026563.472263.086664.225
Wholesale Trade126.0156123.5422119.9114119.8996116.1683115.8684112.717112.7856113.0798112.7389110.3104111.6525118.7791111.076105.7384108.5809110.1768101.251691.648598.431591.757190.8188.428391.195693.712592.39188.319992.068589.135491.512785.102984.443986.7353
Retail Trade23.748123.744522.486222.291222.777623.96622.433921.9721.993923.008921.140721.744321.844522.083919.352918.712720.53821.443119.169915.537619.013221.315619.827720.066422.015223.041520.813921.449322.048322.156120.574120.816921.6253
Transportation & Storage62.437260.002461.969562.938959.080658.392458.299358.418354.323454.865856.373157.273257.359553.739653.779454.967553.855249.348247.373743.467752.309355.300254.652856.260156.218255.710256.513557.915657.995256.490356.782856.718157.1836
Accommodation & Food Services14.8714.687815.104514.277514.538214.102414.525413.73113.523213.726813.473513.130812.285512.963812.401911.653312.386513.339413.691111.793311.884115.351216.246316.224217.444117.018916.927916.260616.448215.599615.997915.471416.2606
Accommodation53.029749.924953.591952.115253.810348.615152.01649.644148.854549.402949.851747.613241.977751.924852.895949.261244.549552.604257.020648.705236.174248.216750.40948.994251.739949.405551.425549.629250.88946.580549.479645.622146.7781
Food & Beverage Services8.98569.14238.99888.7568.7118.92128.9258.66238.5998.73438.60238.5988.22888.12357.46097.01748.06688.17597.84076.18668.33539.939110.555110.859511.688511.408210.9510.639310.892810.503210.585910.447411.1483

Column legend

Title
Column name
Data type
Unit of measure
Description
Data SeriesDataSeriesTextDollar-
2025 1Q20251QNumericDollar-
2024 4Q20244QNumericDollar-
2024 3Q20243QNumericDollar-
2024 2Q20242QNumericDollar-
2024 1Q20241QNumericDollar-
2023 4Q20234QNumericDollar-
2023 3Q20233QNumericDollar-
2023 2Q20232QNumericDollar-
2023 1Q20231QNumericDollar-
Google colab link
Analyse this dataset with Colab Notebook
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Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

import requests
          
dataset_id = "d_3b92ff7ff5dd1f65d09ad57a24079f53"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Singapore Department of Statistics. (2024). Value Added Per Actual Hour Worked In Chained (2015) Dollars By Industry, Quarterly (2025) [Dataset]. data.gov.sg. Retrieved July 20, 2025 from https://data.gov.sg/datasets/d_3b92ff7ff5dd1f65d09ad57a24079f53/view

About this dataset

Contact

feedback@data.gov.sg

Created on

24 Oct 2024

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

SINGSTAT (Singapore Department of Statistics)