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Economy

Value Added Per Worker In Chained (2015) Dollars, By Industry (SSIC 2020), Annual

Data from Jan 1983 to Dec 2024

Last updated: 03 Jul 2025, 20:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS, MINISTRY OF MANPOWER

Data Last Updated: 22/05/2025

Update Frequency: Annual

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M015761

Data explorer

ValueAddedPerWorkerInChained2015DollarsByIndustrySSIC2020Annual.csv (25 rows, 11.6 KB)

Data Series
Text
2024
Numeric
2023
Numeric
2022
Numeric
2021
Numeric
2020
Numeric
2019
Numeric
2018
Numeric
2017
Numeric
2016
Numeric
2015
Numeric
2014
Numeric
2013
Numeric
2012
Numeric
2011
Numeric
2010
Numeric
2009
Numeric
2008
Text
2007
Text
2006
Text
2005
Text
2004
Text
2003
Text
2002
Text
2001
Text
2000
Text
1999
Text
1998
Text
1997
Text
1996
Text
1995
Text
1994
Text
1993
Text
1992
Text
1991
Text
1990
Text
1989
Text
1988
Text
1987
Text
1986
Text
1985
Text
1984
Text
1983
Text
(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)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)48.0%
(Null)96.0%
67301.81674.0%
(Null)96.0%
64202.89324.0%
(Null)96.0%
61141.96414.0%
(Null)96.0%
58290.54664.0%
(Null)96.0%
54702.30444.0%
(Null)96.0%
51630.39564.0%
(Null)96.0%
49446.61674.0%
(Null)96.0%
46030.16024.0%
Total (Based On GDP In Chained (2015) Dollars)139909.9006136192.0209140324.5281141216.9558126103.5914128384.6345128744.4243125332.11119741.0747116586.7751115648.8926115466.5204114679.6057114169.7948111427.0903100630.208103277.1452111244.5513110881.0288108435.0663105430.025497499.660892132.08487399.963691463.59387289.840282201.923586387.797584619.301583626.863281907.175677052.156571359.248969072.943367301.816764202.893261141.964158290.546654702.304451630.395649446.616746030.1602
Total (Based On GDP In Chained (2015) Dollars, Excluding Construction)155224.95150791.2699153963.8454153492.8371139013.1272139918.3018140416.8464137529.8606132197.2198128521.0742127796.412127512.3329125507.3812124470.8854121473.8078109442.0715112062.9458120061.0635119606.1286116937.0472113926.6705105699.8121100639.66296041.1426101511.314297063.588291374.87695516.57491864.76189254.505286668.651581454.067274477.0472268.2229nananananananana
Goods Producing Industries137824.8608133853.9741148659.9676156660.7691127180.5959122948.9609124416.1131114630.5394102144.115698227.7208100312.991799257.2753102513.1587104715.032899513.500180746.579580995.426791894.269794868.7491809.742688722.051180322.914574730.024867246.308673935.151367541.619460072.082161165.155961481.177462659.550660848.593155473.372852068.879350406.3007nananananananana
Manufacturing238393.2273226979.5406246376.5463253570.5044211492.4589190637.0762192659.833177746.025156011.5015145836.6097150132.8613146355.7459145991.8185147063.2224136916.558105011.4737103039.7467116105.2426120433.128116434.753113638.7875103851.926198334.650788411.5027102358.377991991.058878466.970277388.803773460.600871488.057867235.877560518.808454091.774852602.6088nananananananana
Construction37546.044937024.104539426.397739977.866426214.49643244.756343325.669741210.180440531.183641171.871239442.5838306.321741013.640140296.35440063.895938370.097635356.773934344.401631916.858531534.395831538.354531492.258830855.590331799.761231012.293331484.277632876.439434705.503837023.283638925.185540726.986937173.300139327.651235787.3195nananananananana
Services Producing Industries122935.8877119833.3275120464.7415118341.4164108750.2707111989.3789112175.1158110982.5072108990.5961107642.3294106639.4518106535.8549103348.4481101761.095199616.472893052.796196649.4195100173.040398459.219896533.038393772.160587265.80482803.651180431.824581808.571179867.745677959.816983511.034980380.43977634.58276089.203672311.663466309.795664121.2674nananananananana
Wholesale & Retail Trade181447.9529173249.194174067.9763168636.6904147820.3497144738.546142657.4414138912.4357135648.0004134182.4699130830.141129744.639125795.9837121170.8043116297.5788102180.1377107320.169108657.7981106957.5851100189.121894189.540381530.654771997.673767039.893969817.956360661.787355570.296660059.043557317.706756401.90551801.85646548.962639378.308540945.1438nananananananana
Wholesale Trade250720.7852238851.276239770.225232616.3066201729.4198193957.7793190632.3516185941.8141181689.8057181205.4027178091.8068175184.1197169025.1724160948.3994153797.3464133054.9671nananananananananananananananananananananananananana
Retail Trade47032.532947140.644346684.090643280.905938125.893745444.49846696.529246057.626145437.813743582.189641364.096241768.195542463.286143235.997643319.818444090.3299nananananananananananananananananananananananananana
Transportation & Storage134277.4606126483.4329127829.2546123156.5808108128.1228127715.2794129408.2706132082.1079127243.3243125083.3472124511.9592126071.0922127395.0327126546.7202124862.9271119641.8839132058.4802135428.0043126695.5873125335.1015120902.4783108559.8019110916.8533106454.6328111403.327112562.1138106065.5032103659.481101647.579100017.545595715.710890210.679886199.767485613.0612nananananananana

Column legend

Title
Column name
Data type
Unit of measure
Description
Data SeriesDataSeriesTextDollar-
20242024NumericDollar-
20232023NumericDollar-
20222022NumericDollar-
20212021NumericDollar-
20202020NumericDollar-
20192019NumericDollar-
20182018NumericDollar-
20172017NumericDollar-
20162016NumericDollar-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_43c4c89b056bc3b3959e4cf6771c2898
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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_43c4c89b056bc3b3959e4cf6771c2898"
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. (2023). Value Added Per Worker In Chained (2015) Dollars, By Industry (SSIC 2020), Annual (2025) [Dataset]. data.gov.sg. Retrieved July 5, 2025 from https://data.gov.sg/datasets/d_43c4c89b056bc3b3959e4cf6771c2898/view

About this dataset

Contact

feedback@data.gov.sg

Created on

26 Nov 2023

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)