Congo vs South Africa: Dimension 2.2: Online access - Non-Proprietary format Score

Congo
0.867
in 2023
South Africa
0.871
in 2023
Congo rank
83rd
South Africa rank
81st

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

  • Congo
  • South Africa
00.20.40.60.81201520192023

How they compare

South Africa currently reports 0.871 against 0.867 in Congo, a difference of 0.004.

The two have swapped places 4 times across 9 shared years of data; in 2015 it was South Africa ahead.

Congo ranks 83rd and South Africa ranks 81st of 177 countries.

Across the 2 decades both report, Congo averaged higher in 1 and South Africa in 1.

Head to head by decade

Decade Congo South Africa Difference Ahead
2010s 0.6312 0.639 0.0078 South Africa
2020s 0.867 0.8545 0.0125 Congo

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Congo or South Africa?
South Africa, at 0.871 against 0.867 in Congo as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Congo and South Africa?
0.004, with South Africa ahead.
How many years of comparable data are there for Congo and South Africa?
9 years are reported by both, from 2015 to 2023.
How do Congo and South Africa rank globally for dimension 2.2: online access - non-proprietary format score?
Congo ranks 83rd and South Africa ranks 81st 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.