Azerbaijan vs Colombia: Dimension 2.2: Online access - Machine Readability Score

Azerbaijan
0.95
in 2023
Colombia
0.933
in 2023
Azerbaijan rank
23rd
Colombia rank
26th

Dimension 2.2: Online access - Machine Readability Score over time

  • Azerbaijan
  • Colombia
00.20.40.60.81201520192023

How they compare

Azerbaijan currently reports 0.95 against 0.933 in Colombia, a difference of 0.017.

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

Azerbaijan ranks 23rd and Colombia ranks 26th of 177 countries.

Across the 2 decades both report, Azerbaijan averaged higher in 1 and Colombia in 1.

Head to head by decade

Decade Azerbaijan Colombia Difference Ahead
2010s 0.8348 0.8518 0.017 Colombia
2020s 0.9345 0.8665 0.068 Azerbaijan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Azerbaijan or Colombia?
Azerbaijan, at 0.95 against 0.933 in Colombia as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Azerbaijan and Colombia?
0.017, with Azerbaijan ahead.
How many years of comparable data are there for Azerbaijan and Colombia?
9 years are reported by both, from 2015 to 2023.
How do Azerbaijan and Colombia rank globally for dimension 2.2: online access - machine readability score?
Azerbaijan ranks 23rd and Colombia ranks 26th 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.