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

Cape Verde
0.483
in 2023
Sri Lanka
0.462
in 2023
Cape Verde rank
106th
Sri Lanka rank
109th

Dimension 2.2: Online access - Machine Readability Score over time

  • Cape Verde
  • Sri Lanka
00.20.40.6201520192023

How they compare

Cape Verde currently reports 0.483 against 0.462 in Sri Lanka, a difference of 0.021.

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

Cape Verde ranks 106th and Sri Lanka ranks 109th of 177 countries.

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

Head to head by decade

Decade Cape Verde Sri Lanka Difference Ahead
2010s 0.4014 0.3068 0.0946 Cape Verde
2020s 0.4915 0.45 0.0415 Cape Verde

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Cape Verde or Sri Lanka?
Cape Verde, at 0.483 against 0.462 in Sri Lanka as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Cape Verde and Sri Lanka?
0.021, with Cape Verde ahead.
How many years of comparable data are there for Cape Verde and Sri Lanka?
9 years are reported by both, from 2015 to 2023.
How do Cape Verde and Sri Lanka rank globally for dimension 2.2: online access - machine readability score?
Cape Verde ranks 106th 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.