Cote d'Ivoire vs Solomon Islands: Dimension 2.2: Online access - Machine Readability Score

Cote d'Ivoire
0.064
in 2023
Solomon Islands
0.114
in 2023
Cote d'Ivoire rank
156th
Solomon Islands rank
154th

Dimension 2.2: Online access - Machine Readability Score over time

  • Cote d'Ivoire
  • Solomon Islands
00.10.20.30.4201520192023

How they compare

Solomon Islands currently reports 0.114 against 0.064 in Cote d'Ivoire, a difference of 0.05.

That makes Solomon Islands's figure about 1.8 times Cote d'Ivoire's.

The two have swapped places 3 times across 9 shared years of data; in 2015 it was Cote d'Ivoire ahead.

Cote d'Ivoire ranks 156th and Solomon Islands ranks 154th 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 Solomon Islands Difference Ahead
2010s 0.188 0.0898 0.0982 Cote d'Ivoire
2020s 0.202 0.1345 0.0675 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 Solomon Islands?
Solomon Islands, at 0.114 against 0.064 in Cote d'Ivoire as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Cote d'Ivoire and Solomon Islands?
0.05, with Solomon Islands ahead.
How many years of comparable data are there for Cote d'Ivoire and Solomon Islands?
9 years are reported by both, from 2015 to 2023.
How do Cote d'Ivoire and Solomon Islands rank globally for dimension 2.2: online access - machine readability score?
Cote d'Ivoire ranks 156th and Solomon Islands ranks 154th 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.