Lithuania vs Palestine: Dimension 2.2: Online access - Non-Proprietary format Score
Lithuania
1
in 2023
Palestine
1
in 2023
Lithuania rank
1st
Palestine rank
1st
Dimension 2.2: Online access - Non-Proprietary format Score over time
- Lithuania
- Palestine
How they compare
Lithuania currently reports 1 against 1 in Palestine, a difference of 0.
The two have swapped places 1 time across 8 shared years of data; in 2016 it was Lithuania ahead.
Lithuania ranks 1st and Palestine ranks 1st of 177 countries.
Lithuania has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Lithuania | Palestine | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.9832 | 0.9278 | 0.0555 | Lithuania |
| 2020s | 1 | 1 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 2.2: online access - non-proprietary format score, Lithuania or Palestine?
- Lithuania, at 1 against 1 in Palestine as of 2023.
- What is the difference in dimension 2.2: online access - non-proprietary format score between Lithuania and Palestine?
- 0, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Palestine?
- 8 years are reported by both, from 2016 to 2023.
- How do Lithuania and Palestine rank globally for dimension 2.2: online access - non-proprietary format score?
- Lithuania ranks 1st and Palestine ranks 1st 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
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.