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Principal Statistics Of Manufacturing By Industry Cluster - Remuneration, Annual

Data from Jan 2000 to Dec 2023Updated 6 months ago

SINGSTAT (Singapore Department of Statistics)

Source: ECONOMIC DEVELOPMENT BOARD

Data Last Updated: 15/02/2024

Update Frequency: Annual

Footnotes: Data include all manufacturing establishments. The industries are classified according to Singapore Standard Industrial Classification (SSIC) 2020.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M355161

Data explorer

PrincipalStatisticsOfManufacturingByIndustryClusterRemunerationAnnual.csv (25 rows, 5.8 KB)

Data Series
Text
2023
Numeric
2022
Numeric
2021
Numeric
2020
Numeric
2019
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2018
Numeric
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
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%
Total Manufacturing25389.324838.723030.222199.722616.821827.921654.4211892167821805.920721.719694.218965.517987.116949.817736.316597.315254.914300.91347612961.312964.612665.112453.1
Electronics5511.85737.95161.44959.24814.24515.54502.64304.94365.84295.74226.84169.14136.54065.43776.54340.24475.14108.43992.83685.634363535.53682.53862.8
Semiconductors3615.638323397.63173.73018.32825.82658.82474.82578.32498.62443.12447.32337.22277.31987.52242228219471815.31664.213911271.61356.11365.1
Computer Peripherals & Data Storage701.5775.7719716.9732.1685.4807.6819.8836.6840848.8849.3958989.81040.41205.11287.31145.91091.81018.81067.71226.51199.71155.1
Infocomms & Consumer Electronics695.3619.3560.9618645.2632664.2648.8608.5610.9619.1585.5569.1494.2473.9582.3551.9640700.6607.9588638.9672.8807.6
Other Electronic Modules & Components499.4510.9484450.6418.6372.2372361.6342.5346.2315.7287272.2304.2274.7310.8353.9375.4385394.7389.3398.5453.8534.9
Chemicals3184.93055.12972.529382911.82842.12766.32693.72769.12665.22373.92155.721481981.81805.81823.91709.41582.61524.315451537.31513.91521.51406.3
Petroleum809.8749.5722.3828.9822.3790.4766752.2866.4800.3580.8579.6576.3511.9426.2427.4406.4378.7363.6343.4373.5365.5315.5293.2
Petrochemicals709.5698.3665662.3662662.7637.9625.4612.2610.1535.2507.7540.8524.1497.1484.4438.9384.9370.8409372.8338.2410.2255.5
Specialty Chemicals951.8918.7871.3850.7882.5846.4835.2852.7854.1850.3837.1778759.1685645.3665.7618.8595.3568.6555.1544.1555.4567.9629.3

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-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_17bd285be4c401c50ec87821d44e8461
  2. 2. Click on the button below

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_17bd285be4c401c50ec87821d44e8461"
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). Principal Statistics Of Manufacturing By Industry Cluster - Remuneration, Annual (2024) [Dataset]. data.gov.sg. Retrieved April 25, 2025 from https://data.gov.sg/datasets/d_17bd285be4c401c50ec87821d44e8461/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)