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D

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

What this data shows

Published by Singapore Department of Statistics. 24 records. Fields include Data Series, 2025, 2024, 2023 (44 columns in total). Covers 1983-01-01 to 2025-12-31. Last updated 2026-09-02.

Description

Annual labour productivity in Singapore measured as gross value added per worker in chained (2015) dollars by industry under SSIC 2020, jointly published by the Singapore Department of Statistics and Ministry of Manpower in wide-year CSV from 1983 through 2025. Analysts compare sectoral output per worker, structural shifts, and long-run productivity trends. Adapted from SingStat TableBuilder TS/M015761.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS & MINISTRY OF MANPOWER Data Last Updated: 11/08/2026 Update Frequency: Annual 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/M015761

Last updated
Coverage
1983-01-01 – 2025-12-31
Rows
24
Columns
44

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015
Total (Based On GDP In Chained (2015) Dollars) 145685.858500 140783.706600 135799.600900 140432.075900 141457.967700 125878.085800 127883.997900 128431.608900 125349.122000 119929.634800 116586.775100
Goods Producing Industries 145517.058700 138529.888200 134796.635800 148599.057000 156619.532400 127133.185200 122872.153100 124374.259600 114638.766500 102148.851100 98227.720800
Manufacturing 255818.977400 237285.492400 226979.540600 246376.546300 253570.504400 211492.458900 190637.076200 192659.833000 177746.025000 156011.501500 145836.609700
Construction 40654.851800 40043.079000 39152.603300 39437.785700 40011.569900 26180.751900 43064.762200 43230.736700 41230.424000 40542.416300 41171.871200
Services Producing Industries 127746.481600 123923.063100 119182.075900 120635.629500 118732.812100 108689.537300 111605.457900 111917.864100 111086.333100 109277.257400 107642.329400
Wholesale & Retail Trade 192050.425900 178789.061700 169887.184100 172200.941400 166445.120600 146218.198900 142955.779200 141008.508600 138031.136500 135189.322300 134182.469900
Wholesale Trade 265721.194900 246944.689300 234058.765000 237118.404600 229343.468500 199356.667400 191388.240900 188248.825300 184618.734400 180992.389300 181205.402700
Retail Trade 47834.759700 46454.549500 46486.264300 46169.097900 43215.940000 38069.467900 45279.023000 46552.527100 46066.765400 45446.289600 43582.189600
Transportation & Storage 131719.088700 128950.100400 120577.816300 121282.786300 114777.962800 102088.570300 123007.421500 125929.095600 130254.623100 126495.617900 125083.347200
Accommodation & Food Services 36959.989300 36732.303300 36588.031800 35710.620400 32655.070700 31156.946400 36663.764300 37472.796600 36788.541900 36722.514500 36337.587800

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
2025 Numeric No
2024 Numeric No
2023 Numeric No
2022 Numeric No
2021 Numeric No
2020 Numeric No
2019 Numeric No
2018 Numeric No
2017 Numeric No
2016 Numeric No
2015 Numeric No
2014 Numeric No
2013 Numeric No
2012 Numeric No
2011 Numeric No
2010 Numeric No
2009 Numeric No
2008 Text No
2007 Text No
2006 Text No
2005 Text No
2004 Text No
2003 Text No
2002 Text No
2001 Text No
2000 Text No
1999 Text No
1998 Text No
1997 Text No
1996 Text No
1995 Text No
1994 Text No
1993 Text No
1992 Text No
1991 Text No
1990 Text Yes
1989 Text Yes
1988 Text Yes
1987 Text Yes
1986 Text Yes
1985 Text Yes
1984 Text Yes
1983 Text Yes