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Total Output In Manufacturing By Industry, Annual

Data from Jan 1980 to Dec 2023Updated 7 months ago

SINGSTAT (Singapore Department of Statistics)

Source: ECONOMIC DEVELOPMENT BOARD

Data Last Updated: 04/03/2024

Update Frequency: Annual

Footnotes: From 2002, figures include establishments with less than 10 workers. Prior to 2002, figures refer to establishments engaging 10 or more workers. Data include all manufacturing establishments. The industries are classified according to Singapore Standard Industrial Classification (SSIC) 2020. Total manufacturing output refers to the total value of goods and services derived from a production process and ancillary activities such as management or marketing. As such, it includes manufacturing output and other operating income. Valuation of output has been changed to basic price. Historical total output has been revised accordingly from 1980. Year 2023 data are preliminary estimates. Refers to manufacturing output and other operating income.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M354891

Data explorer

TotalOutputInManufacturingByIndustryAnnual.csv (22 rows, 9.3 KB)

Data Series
Text
2023
Numeric
2022
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2021
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2020
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2019
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2018
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2017
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2016
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2015
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2014
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2013
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2012
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2011
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2010
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2009
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2008
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2007
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2006
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2005
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2004
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2003
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2002
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2001
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2000
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1999
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1998
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1997
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1996
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1995
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1994
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1993
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1992
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1991
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1990
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1989
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1988
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1987
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1986
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1985
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1984
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1983
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1982
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1981
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1980
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(Null)0.0%
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Total Manufacturing413930.8462053.5394501.7313408.7337799.9364872.1322117.7273533.2284691.2306641.8299623.8301550.7295529274403.3227708.2265006.1254671.5239105.7218148.8192524.1159492.3148076.6139099.8164378.8137542.4125227.1130068.4123155.4116540.7103628.290074.279365.576670.473309.565371.65784647250.638227.239355.24206338184.237351.337653.532479
Food, Beverage & Tobacco12598.213169.211183.8104251099310725.910469.910149.910598.51035298119817.99626.88472.37735.77692.86286.75760.15517.45135.94286.24357.23821.93750.93784.43798.54097.23958.338773693.33366.73168.13125.62995.83144.72908.4258428832941.42868.925802482.92312.82177.9
Textiles & Textile Manufactures42.944.238.537.861.261.669.95953.550.461.659.465.954.191.6145.1143.2168.6213.5229.7250.7225.6262.5275.8232.8250.5247.4237.2288.2304.3339362.4379370.4368.5341.5299.7226.7186.8228.1253297.8388.6432.7
Wearing Apparel548.6772.4571.3467.2460.3251251.8226.9259.1353.7478.1573.9629.7613.6677.2565.2730.1586.7684.5881859.2882.6859.71094.2886.2861.9865.7877.91056.21307.51430.21753.51858.91822.81879.31761.91617.112901076.81139.4984.1976.5978.5932.6
Leather, Leather Products & Footwear126.2111.210668.2128.1143.2142.4149.9167.1159.2171.1157.9137.699.789.7212.5247.3239.4216.5213.5208.6191.4192.9208.6169.1138.5158.7116.9122.8126.1126.7128121.3113.4117.111186.87880.9105.8106109.4120.8115.3
Wood & Wood Products434.7460.7370.3289297.1301.3336.2341.3338.8361.6343.5328.4242.5240.7257.8286249.2268.9265.5277.5255.7263.7247.8286.9254.5308.9297.1274.8299.1297.5310.7317.1326.9378.8426.6425.3351.2318359.1422.5498.9562.6678.1806.4
Paper & Paper Products1122.21207.61183.51041.91111.31086.71038.21086.11123.81143.11103.81041.51085.2112910181100.11053.31003.81014927.9891.5880.1816.7876.8876.4880.31006.21065.31117.91007.7910.5852.1910.8841.2783.4729.9617456.5426.2411.9374.6359.8336.2300.3
Printing & Reproduction Of Recorded Media1141.51207.31260.31348.71626.11656.31796.11945.62251.22376.62352.42467.42677.42676.426233094.43028.32974.32836.82737.32722.92666.527823078.32750.72781.32886.12834.12738.62514.724162229.42013.91791.91602.21378.61164.6995.2936.2959.7846.5742.3689.4570.4
Refined Petroleum Products43605.85303235193.321996.138438.84392835926.826987.232482.846359.55102757229.455968.742325.935388.559950.84804746118.440307.228275.321981.318419.618271.720096.514124.513216.914888.113934.21093011066.511298.710410.211385.5115978980.77780.67599.37087.411109.512528.213270.514741.214598.111695.1
Chemicals & Chemical Products50547.464035.859727.741728.248730.454249.647943.841209.944916.555340.450019.741121.142723.838230.627781.335044.435457.332437.927058.324265.518354.314292.911735.611682.19521.27756.17978.85846.858944933.24013.93881.34239.34266.13984.94072.33022.42252.82193.51759.3981.4852.5790.2703.8

Column legend

Title
Column name
Data type
Unit of measure
Description
Data SeriesDataSeriesTextMillion Dollars-
20232023NumericMillion Dollars-
20222022NumericMillion Dollars-
20212021NumericMillion Dollars-
20202020NumericMillion Dollars-
20192019NumericMillion Dollars-
20182018NumericMillion Dollars-
20172017NumericMillion Dollars-
20162016NumericMillion Dollars-
20152015NumericMillion Dollars-
20142014NumericMillion Dollars-
20132013NumericMillion Dollars-
20122012NumericMillion Dollars-
20112011NumericMillion Dollars-
20102010NumericMillion Dollars-
20092009NumericMillion Dollars-
20082008NumericMillion Dollars-
20072007NumericMillion Dollars-
20062006NumericMillion Dollars-
20052005NumericMillion Dollars-
20042004NumericMillion Dollars-
20032003NumericMillion Dollars-
20022002NumericMillion Dollars-
20012001NumericMillion Dollars-
20002000NumericMillion Dollars-
19991999NumericMillion Dollars-
19981998NumericMillion Dollars-
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19961996NumericMillion Dollars-
19951995NumericMillion Dollars-
19941994NumericMillion Dollars-
19931993NumericMillion Dollars-
19921992NumericMillion Dollars-
19911991NumericMillion Dollars-
19901990NumericMillion Dollars-
19891989NumericMillion Dollars-
19881988NumericMillion Dollars-
19871987NumericMillion Dollars-
19861986NumericMillion Dollars-
19851985NumericMillion Dollars-
19841984NumericMillion Dollars-
19831983NumericMillion Dollars-
19821982NumericMillion Dollars-
19811981NumericMillion Dollars-
19801980NumericMillion Dollars-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_11403cd1c5b1f8246c39a0bb9aac63ca
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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_11403cd1c5b1f8246c39a0bb9aac63ca"
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). Total Output In Manufacturing By Industry, Annual (2024) [Dataset]. data.gov.sg. Retrieved May 21, 2025 from https://data.gov.sg/datasets/d_11403cd1c5b1f8246c39a0bb9aac63ca/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)