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

South Africa
0.364
in 2023
Venezuela
0.386
in 2023
South Africa rank
119th
Venezuela rank
116th

Dimension 2.2: Online access - Machine Readability Score over time

  • South Africa
  • Venezuela
00.10.20.30.40.5201520192023

How they compare

Venezuela currently reports 0.386 against 0.364 in South Africa, a difference of 0.022.

That makes Venezuela's figure about 1.1 times South Africa's.

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

South Africa ranks 119th and Venezuela ranks 116th of 177 countries.

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

Head to head by decade

Decade South Africa Venezuela Difference Ahead
2010s 0.4034 0.4548 0.0514 Venezuela
2020s 0.3845 0.4265 0.042 Venezuela

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, South Africa or Venezuela?
Venezuela, at 0.386 against 0.364 in South Africa as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between South Africa and Venezuela?
0.022, with Venezuela ahead.
How many years of comparable data are there for South Africa and Venezuela?
9 years are reported by both, from 2015 to 2023.
How do South Africa and Venezuela rank globally for dimension 2.2: online access - machine readability score?
South Africa ranks 119th and Venezuela ranks 116th 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.