Cote d'Ivoire vs Sierra Leone: Dimension 2.2: Online access - Machine Readability Score

Cote d'Ivoire
0.064
in 2023
Sierra Leone
0.064
in 2023
Cote d'Ivoire rank
156th
Sierra Leone rank
156th

Dimension 2.2: Online access - Machine Readability Score over time

  • Cote d'Ivoire
  • Sierra Leone
00.10.20.30.4201520192023

How they compare

Cote d'Ivoire currently reports 0.064 against 0.064 in Sierra Leone, a difference of 0.

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

Cote d'Ivoire ranks 156th and Sierra Leone ranks 156th of 177 countries.

Cote d'Ivoire has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Cote d'Ivoire Sierra Leone Difference Ahead
2010s 0.188 0 0.188 Cote d'Ivoire
2020s 0.202 0.032 0.17 Cote d'Ivoire

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Cote d'Ivoire or Sierra Leone?
Cote d'Ivoire, at 0.064 against 0.064 in Sierra Leone as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Cote d'Ivoire and Sierra Leone?
0, with Cote d'Ivoire ahead.
How many years of comparable data are there for Cote d'Ivoire and Sierra Leone?
9 years are reported by both, from 2015 to 2023.
How do Cote d'Ivoire and Sierra Leone rank globally for dimension 2.2: online access - machine readability score?
Cote d'Ivoire ranks 156th and Sierra Leone ranks 156th 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.