Turkmenistan vs Venezuela: Dimension 2.2: Online access - Non-Proprietary format Score

Turkmenistan
0.048
in 2023
Venezuela
0.131
in 2023
Turkmenistan rank
177th
Venezuela rank
175th

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

  • Turkmenistan
  • Venezuela
00.20.40.6201520192023

How they compare

Venezuela currently reports 0.131 against 0.048 in Turkmenistan, a difference of 0.083.

That makes Venezuela's figure about 2.7 times Turkmenistan's.

The two have swapped places 2 times across 9 shared years of data; in 2015 it was Venezuela ahead.

Turkmenistan ranks 177th and Venezuela ranks 175th of 177 countries.

Venezuela has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Turkmenistan Venezuela Difference Ahead
2010s 0.2376 0.2624 0.0248 Venezuela
2020s 0.048 0.2365 0.1885 Venezuela

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Turkmenistan or Venezuela?
Venezuela, at 0.131 against 0.048 in Turkmenistan as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Turkmenistan and Venezuela?
0.083, with Venezuela ahead.
How many years of comparable data are there for Turkmenistan and Venezuela?
9 years are reported by both, from 2015 to 2023.
How do Turkmenistan and Venezuela rank globally for dimension 2.2: online access - non-proprietary format score?
Turkmenistan ranks 177th and Venezuela ranks 175th 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.