Cuba vs Sri Lanka: Dimension 2.2: Online access - Machine Readability Score

Cuba
0.426
in 2023
Sri Lanka
0.462
in 2023
Cuba rank
112th
Sri Lanka rank
109th

Dimension 2.2: Online access - Machine Readability Score over time

  • Cuba
  • Sri Lanka
0.20.40.60.8201520192023

How they compare

Sri Lanka currently reports 0.462 against 0.426 in Cuba, a difference of 0.036.

That makes Sri Lanka's figure about 1.1 times Cuba's.

The two have swapped places 1 time across 9 shared years of data; in 2015 it was Cuba ahead.

Cuba ranks 112th and Sri Lanka ranks 109th of 177 countries.

Across the 2 decades both report, Cuba averaged higher in 1 and Sri Lanka in 1.

Head to head by decade

Decade Cuba Sri Lanka Difference Ahead
2010s 0.4886 0.3068 0.1818 Cuba
2020s 0.3855 0.45 0.0645 Sri Lanka

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Cuba or Sri Lanka?
Sri Lanka, at 0.462 against 0.426 in Cuba as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Cuba and Sri Lanka?
0.036, with Sri Lanka ahead.
How many years of comparable data are there for Cuba and Sri Lanka?
9 years are reported by both, from 2015 to 2023.
How do Cuba and Sri Lanka rank globally for dimension 2.2: online access - machine readability score?
Cuba ranks 112th and Sri Lanka ranks 109th 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.