Chile vs Liechtenstein: Dimension 2.2: Online access - Machine Readability Score

Chile
0.733
in 2023
Liechtenstein
0.702
in 2023
Chile rank
72nd
Liechtenstein rank
75th

Dimension 2.2: Online access - Machine Readability Score over time

  • Chile
  • Liechtenstein
00.20.40.60.8201520192023

How they compare

Chile currently reports 0.733 against 0.702 in Liechtenstein, a difference of 0.031.

The two have swapped places 1 time across 7 shared years of data; in 2017 it was Liechtenstein ahead.

Chile ranks 72nd and Liechtenstein ranks 75th of 177 countries.

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

Head to head by decade

Decade Chile Liechtenstein Difference Ahead
2010s 0.4283 0.4617 0.0333 Liechtenstein
2020s 0.506 0.6865 0.1805 Liechtenstein

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Chile or Liechtenstein?
Chile, at 0.733 against 0.702 in Liechtenstein as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Chile and Liechtenstein?
0.031, with Chile ahead.
How many years of comparable data are there for Chile and Liechtenstein?
7 years are reported by both, from 2017 to 2023.
How do Chile and Liechtenstein rank globally for dimension 2.2: online access - machine readability score?
Chile ranks 72nd and Liechtenstein ranks 75th 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.