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Collection: Singapore Cultural Statistics

Dataset: Employment in Arts and Cultural Sector

Arts & Culture

Employment in Arts and Cultural Sector

Data from Jan 2013 to Dec 2019

Last updated: 06 Jun 2024, 14:25 SGT

MCCY (Ministry of Culture, Community and Youth)

Data has been rounded to the nearest hundreds

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_1b3bb94dab437ad56d0a6cc26282a289"
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.

Ministry of Culture, Community and Youth. (2021). Employment in Arts and Cultural Sector (2024) [Dataset]. data.gov.sg. Retrieved May 14, 2026 from https://data.gov.sg/datasets/d_1b3bb94dab437ad56d0a6cc26282a289/view

About this dataset

Contact

feedback@data.gov.sg

Created on

07 May 2021

Licence

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

Agency

MCCY (Ministry of Culture, Community and Youth)

‌

Arts & Culture

Employment in Arts and Cultural Sector

Data from Jan 2013 to Dec 2019

Last updated: 06 Jun 2024, 14:25 SGT

MCCY (Ministry of Culture, Community and Youth)

Data has been rounded to the nearest hundreds

‌

Data explorer

EmploymentinArtsandCulturalSector.csv (35 rows, 829 B)

Year Year (YYYY)	Art Form Text	Employment Numeric
(Null)0.0%	(Null)0.0%	(Null)0.0%
2013	Film	3800
2013	Cultural Heritage	1000
2013	Literary Arts	7000
2013	Performing Arts	6000
2013	Visual Arts	7300
2014	Film	4500
2014	Cultural Heritage	1300
2014	Literary Arts	7400
2014	Performing Arts	6700
2014	Visual Arts	8500

Column legend

Title	Column name	Data type	Unit of measure	Description
Year	year	Year (YYYY)	-	-
Art Form	artform	Text	-	-
Employment	employment	Numeric	Number	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_1b3bb94dab437ad56d0a6cc26282a289
2. Click on the button below