Azerbaijan vs Liberia: Dimension 2.2: Online access - Non-Proprietary format Score

Azerbaijan
0.826
in 2023
Liberia
0.819
in 2023
Azerbaijan rank
105th
Liberia rank
107th

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

  • Azerbaijan
  • Liberia
00.20.40.60.8201520192023

How they compare

Azerbaijan currently reports 0.826 against 0.819 in Liberia, a difference of 0.007.

The two have swapped places 1 time across 9 shared years of data; in 2015 it was Liberia ahead.

Azerbaijan ranks 105th and Liberia ranks 107th of 177 countries.

Across the 2 decades both report, Azerbaijan averaged higher in 1 and Liberia in 1.

Head to head by decade

Decade Azerbaijan Liberia Difference Ahead
2010s 0.3206 0.6094 0.2888 Liberia
2020s 0.8105 0.801 0.0095 Azerbaijan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Azerbaijan or Liberia?
Azerbaijan, at 0.826 against 0.819 in Liberia as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Azerbaijan and Liberia?
0.007, with Azerbaijan ahead.
How many years of comparable data are there for Azerbaijan and Liberia?
9 years are reported by both, from 2015 to 2023.
How do Azerbaijan and Liberia rank globally for dimension 2.2: online access - non-proprietary format score?
Azerbaijan ranks 105th and Liberia ranks 107th 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.