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Infocomm Manpower by Residential Status, Highest Qualification Attained, Gender, Discipline of Study and Age

Infocomm manpower surveys have been carried out by IDA annually since 1999.

An infocomm manpower is a person engaged primarily in infocomm-related work including infocomm data analytics work either in an ICT or telecommunication equipment and/or services provider, or user organisation (such as in a bank).

He/She must be employed by the Singapore-based enterprise on a full time/parttime/casual/temporary basis either as a permanent or direct contract staff to work in Singapore or to station overseas.

The work of the person may include the development, distribution, implementation, support, operation, sales or marketing of telecommunication, computer hardware/software, IT services or multimedia contents.

Methodology

The sample, covering all industrial sectors, was selected from the Establishment Sampling Frame maintained by the Department of Statistics. The sample was stratified by the Singapore Standard Industrial Classification (SSIC).

4 related datasets

Related datasets are grouped into a collection based on themes, topics or common attributes for easier access and exploration. All datasets within a collection are published and managed by the same agency.

Infocomm Manpower by Discipline of Study

CSV6 months ago

Coverage: Jan 2003 to Dec 2017

Infocomm Manpower by Gender

CSV6 months ago

Coverage: Jan 2000 to Dec 2017

Infocomm Manpower by Highest Qualification Attained

CSV6 months ago

Coverage: Jan 2001 to Dec 2017

Infocomm Manpower by Residential Status

CSV6 months ago

Coverage: Jan 2005 to Dec 2017

Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the metadata for this collection. 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
          
collection_id = 243          
url = "https://api-production.data.gov.sg/v2/public/api/collections/{}/metadata".format(collection_id)
        
response = requests.get(url)
print(response.json())