Djibouti vs Uzbekistan: Dimension 2.2: Online access - Machine Readability Score

Djibouti
0.098
in 2023
Uzbekistan
1
in 2023
Djibouti rank
1st
Uzbekistan rank
1st

Dimension 2.2: Online access - Machine Readability Score over time

  • Djibouti
  • Uzbekistan
00.20.40.60.81201520192023

How they compare

Uzbekistan currently reports 1 against 0.098 in Djibouti, a difference of 0.902.

That makes Uzbekistan's figure about 10.2 times Djibouti's.

The two have swapped places 2 times across 9 shared years of data; in 2015 it was Uzbekistan ahead.

Djibouti ranks 1st and Uzbekistan ranks 1st of 1 regions.

Across the 2 decades both report, Djibouti averaged higher in 1 and Uzbekistan in 1.

Head to head by decade

Decade Djibouti Uzbekistan Difference Ahead
2010s 0.1054 0.056 0.0494 Djibouti
2020s 0.123 0.963 0.84 Uzbekistan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Djibouti or Uzbekistan?
Uzbekistan, at 1 against 0.098 in Djibouti as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Djibouti and Uzbekistan?
0.902, with Uzbekistan ahead.
How many years of comparable data are there for Djibouti and Uzbekistan?
9 years are reported by both, from 2015 to 2023.
How do Djibouti and Uzbekistan rank globally for dimension 2.2: online access - machine readability score?
Djibouti ranks 1st and Uzbekistan ranks 1st of 1 regions.
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.