Jamaica vs Kyrgyzstan: Dimension 2.2: Online access - Machine Readability Score

Jamaica
0.669
in 2023
Kyrgyzstan
0.631
in 2023
Jamaica rank
83rd
Kyrgyzstan rank
86th

Dimension 2.2: Online access - Machine Readability Score over time

  • Jamaica
  • Kyrgyzstan
00.20.40.60.8201520192023

How they compare

Jamaica currently reports 0.669 against 0.631 in Kyrgyzstan, a difference of 0.038.

That makes Jamaica's figure about 1.1 times Kyrgyzstan's.

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

Jamaica ranks 83rd and Kyrgyzstan ranks 86th of 177 countries.

Across the 2 decades both report, Jamaica averaged higher in 1 and Kyrgyzstan in 1.

Head to head by decade

Decade Jamaica Kyrgyzstan Difference Ahead
2010s 0.3864 0.601 0.2146 Kyrgyzstan
2020s 0.6585 0.581 0.0775 Jamaica

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Jamaica or Kyrgyzstan?
Jamaica, at 0.669 against 0.631 in Kyrgyzstan as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Jamaica and Kyrgyzstan?
0.038, with Jamaica ahead.
How many years of comparable data are there for Jamaica and Kyrgyzstan?
9 years are reported by both, from 2015 to 2023.
How do Jamaica and Kyrgyzstan rank globally for dimension 2.2: online access - machine readability score?
Jamaica ranks 83rd and Kyrgyzstan ranks 86th 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.