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Data from Jan 2016 to Dec 2020Last updated: 06 Jun 2024, 14:53 SGT
IMDA (Info-communications Media Development Authority)Summary of the top 10 countries in international infocomm/digital benchmarking reports based on latest available rankings. Reports included are: (i) International Institute for Management Development World Digital Competitiveness Ranking (IMD WDCR); (ii) World Economic Forum Global Information Technology Report – Networked Readiness Index (WEF GITR NRI); (iii) International Telecommunication Union ICT Development Index (ITU IDI); (iv) International Institute for Management Development World Competitiveness Yearbook (IMD WCY); (v) World Economic Forum Global Competitiveness Report (WEF GCR).
Note: WEF GCR ICT Adoption Pillar is a new revision introduced in the 2018 GCR. It was previously called the Technological Readiness pillar. Rankings for WEF GITR NRI are from 2016 and ITU IDI are from 2017.
Rank Text | Latest year Year (YYYY) | Report Text | Country Text |
---|---|---|---|
(Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% |
1 | 2018 | imd_wdcr | USA |
2 | 2018 | imd_wdcr | Singapore |
3 | 2018 | imd_wdcr | Sweden |
4 | 2018 | imd_wdcr | Denmark |
5 | 2018 | imd_wdcr | Switzerland |
6 | 2018 | imd_wdcr | Norway |
7 | 2018 | imd_wdcr | Finland |
8 | 2018 | imd_wdcr | Canada |
9 | 2018 | imd_wdcr | Netherlands |
10 | 2018 | imd_wdcr | United Kingdom |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Rank | rank | Text | - | - |
Latest year | latest_year | Year (YYYY) | - | - |
Report | report | Text | - | - |
Country | country | Text | - | - |
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_aafdcbb3739798c3506d5eb49b6d6335"
url = "https://data.gov.sg/api/action/datastore_search?resource_id=" + dataset_id
response = requests.get(url)
print(response.json())
This dataset can be reused and cited in research publications.
12 Feb 2019
Free forever for personal or commercial use, under the Open Data Licence.