Argentina vs Papua New Guinea: Dimension 2.2: Online access - Non-Proprietary format Score

Argentina
0.517
in 2023
Papua New Guinea
0.557
in 2023
Argentina rank
164th
Papua New Guinea rank
162nd

Dimension 2.2: Online access - Non-Proprietary format Score over time

  • Argentina
  • Papua New Guinea
00.20.40.6201520192023

How they compare

Papua New Guinea currently reports 0.557 against 0.517 in Argentina, a difference of 0.04.

That makes Papua New Guinea's figure about 1.1 times Argentina's.

Across all 9 years both countries report, Papua New Guinea has been ahead every year.

Argentina ranks 164th and Papua New Guinea ranks 162nd of 177 countries.

Papua New Guinea has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Argentina Papua New Guinea Difference Ahead
2010s 0.1026 0.3416 0.239 Papua New Guinea
2020s 0.486 0.5545 0.0685 Papua New Guinea

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Argentina or Papua New Guinea?
Papua New Guinea, at 0.557 against 0.517 in Argentina as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Argentina and Papua New Guinea?
0.04, with Papua New Guinea ahead.
How many years of comparable data are there for Argentina and Papua New Guinea?
9 years are reported by both, from 2015 to 2023.
How do Argentina and Papua New Guinea rank globally for dimension 2.2: online access - non-proprietary format score?
Argentina ranks 164th and Papua New Guinea ranks 162nd of 177 countries.
Where does this data come from?
Open Data Watch, published as Dimension 2.2: Online access - Non-Proprietary format Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Dimension 2.2: Online access - Non-Proprietary format Score
Source
Open Data Watch
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
179 places, 1,551 data points, 2015–2023
Last refreshed

This openness element measures whether data are made available in nonproprietary formats. Nonproprietary file formats are important because they allow users to access data without requiring the use of a costly, proprietary software that may prevent some users from accessing the data. Common nonproprietary formats include PDF, HTML, XLSX, DOCX, CSV, and JSON files.