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Collection: Singapore Cultural Statistics

Dataset: Employment in Arts and Cultural Sector (Visual Arts)

Arts & Culture

Employment in Arts and Cultural Sector (Visual Arts)

Data from Jan 2013 to Dec 2019

Last updated: 06 Jun 2024, 15:04 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_e1470940533730cc4a3839558e429aa6"
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 (Visual Arts) (2024) [Dataset]. data.gov.sg. Retrieved April 4, 2026 from https://data.gov.sg/datasets/d_e1470940533730cc4a3839558e429aa6/view

About this dataset

Contact

feedback@data.gov.sg

Created on

12 May 2021

Licence

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

Agency

MCCY (Ministry of Culture, Community and Youth)

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Arts & Culture

Employment in Arts and Cultural Sector (Visual Arts)

Data from Jan 2013 to Dec 2019

Last updated: 06 Jun 2024, 15:04 SGT

MCCY (Ministry of Culture, Community and Youth)

Data has been rounded to the nearest hundreds

‌

Data explorer

EmploymentinArtsandCulturalSectorVisualArts.csv (14 rows, 483 B)

Year Year (YYYY)	Type Text	Employment Numeric
(Null)0.0%	(Null)0.0%	(Null)0.0%
2013	Fine Art, Crafts & Collectibles	3200
2013	Photography	4100
2014	Fine Art, Crafts & Collectibles	3700
2014	Photography	4700
2015	Fine Art, Crafts & Collectibles	3400
2015	Photography	4300
2016	Fine Art, Crafts & Collectibles	3400
2016	Photography	4100
2017	Fine Art, Crafts & Collectibles	3100
2017	Photography	4100

Column legend

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

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_e1470940533730cc4a3839558e429aa6
2. Click on the button below