El Salvador vs South Africa: Dimension 2.2: Online access - Machine Readability Score

El Salvador
0.379
in 2023
South Africa
0.364
in 2023
El Salvador rank
118th
South Africa rank
119th

Dimension 2.2: Online access - Machine Readability Score over time

  • El Salvador
  • South Africa
00.10.20.30.40.5201520192023

How they compare

El Salvador currently reports 0.379 against 0.364 in South Africa, a difference of 0.015.

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

El Salvador ranks 118th and South Africa ranks 119th of 177 countries.

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

Head to head by decade

Decade El Salvador South Africa Difference Ahead
2010s 0.3462 0.4034 0.0572 South Africa
2020s 0.3905 0.3845 0.006 El Salvador

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, El Salvador or South Africa?
El Salvador, at 0.379 against 0.364 in South Africa as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between El Salvador and South Africa?
0.015, with El Salvador ahead.
How many years of comparable data are there for El Salvador and South Africa?
9 years are reported by both, from 2015 to 2023.
How do El Salvador and South Africa rank globally for dimension 2.2: online access - machine readability score?
El Salvador ranks 118th and South Africa ranks 119th of 177 countries.
Where does this data come from?
Open Data Watch, published as Dimension 2.2: Online access - Machine Readability 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 - Machine Readability 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 machine readable formats. Machine readable file formats allow users to easily process data using a computer. Common machine readable formats include XLS, XLSX, CSV, and JSON files.