Iceland vs United Kingdom: Dimension 2.2: Online access - Machine Readability Score

Iceland
0.886
in 2023
United Kingdom
0.886
in 2023
Iceland rank
46th
United Kingdom rank
46th

Dimension 2.2: Online access - Machine Readability Score over time

  • Iceland
  • United Kingdom
00.20.40.60.81201620192023

How they compare

Iceland currently reports 0.886 against 0.886 in United Kingdom, a difference of 0.

The two have swapped places 1 time across 8 shared years of data; in 2016 it was Iceland ahead.

Iceland ranks 46th and United Kingdom ranks 46th of 177 countries.

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

Head to head by decade

Decade Iceland United Kingdom Difference Ahead
2010s 0.8882 0.7825 0.1058 Iceland
2020s 0.869 0.836 0.033 Iceland

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Iceland or United Kingdom?
Iceland, at 0.886 against 0.886 in United Kingdom as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Iceland and United Kingdom?
0, with Iceland ahead.
How many years of comparable data are there for Iceland and United Kingdom?
8 years are reported by both, from 2016 to 2023.
How do Iceland and United Kingdom rank globally for dimension 2.2: online access - machine readability score?
Iceland ranks 46th and United Kingdom ranks 46th 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.