Dominican Republic vs Jordan: Dimension 2.2: Online access - Non-Proprietary format Score

Dominican Republic
0.967
in 2023
Jordan
0.983
in 2023
Dominican Republic rank
30th
Jordan rank
27th

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

  • Dominican Republic
  • Jordan
00.20.40.60.81201520192023

How they compare

Jordan currently reports 0.983 against 0.967 in Dominican Republic, a difference of 0.016.

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

Dominican Republic ranks 30th and Jordan ranks 27th of 177 countries.

Across the 2 decades both report, Dominican Republic averaged higher in 1 and Jordan in 1.

Head to head by decade

Decade Dominican Republic Jordan Difference Ahead
2010s 0.5962 0.7648 0.1686 Jordan
2020s 0.967 0.9665 0.0005 Dominican Republic

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Dominican Republic or Jordan?
Jordan, at 0.983 against 0.967 in Dominican Republic as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Dominican Republic and Jordan?
0.016, with Jordan ahead.
How many years of comparable data are there for Dominican Republic and Jordan?
9 years are reported by both, from 2015 to 2023.
How do Dominican Republic and Jordan rank globally for dimension 2.2: online access - non-proprietary format score?
Dominican Republic ranks 30th and Jordan ranks 27th 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.