Italy vs Montenegro: Dimension 2.2: Online access - Non-Proprietary format Score

Italy
0.786
in 2023
Montenegro
0.79
in 2023
Italy rank
124th
Montenegro rank
122nd

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

  • Italy
  • Montenegro
00.20.40.60.81201520192023

How they compare

Montenegro currently reports 0.79 against 0.786 in Italy, a difference of 0.004.

The two have swapped places 1 time across 8 shared years of data; in 2016 it was Italy ahead.

Italy ranks 124th and Montenegro ranks 122nd of 180 countries.

Across the 2 decades both report, Italy averaged higher in 1 and Montenegro in 1.

Head to head by decade

Decade Italy Montenegro Difference Ahead
2010s 0.7985 0.3322 0.4662 Italy
2020s 0.7525 0.845 0.0925 Montenegro

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Italy or Montenegro?
Montenegro, at 0.79 against 0.786 in Italy as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Italy and Montenegro?
0.004, with Montenegro ahead.
How many years of comparable data are there for Italy and Montenegro?
8 years are reported by both, from 2016 to 2023.
How do Italy and Montenegro rank globally for dimension 2.2: online access - non-proprietary format score?
Italy ranks 124th and Montenegro ranks 122nd of 180 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.

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Italy vs Montenegro: Dimension 2.2: Online access - Non-Proprietary format Score. Statizoid, drawing on Open Data Watch. Retrieved 15 November 2026, from https://reference.statizoid.com/compare/dimension-2-2-online-access-non-proprietary-format-score/italy/montenegro/

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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
180 places, 1,560 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.