Madagascar vs Sierra Leone: Dimension 2.2: Online access - Machine Readability Score

Madagascar
0.098
in 2023
Sierra Leone
0.064
in 2023
Madagascar rank
155th
Sierra Leone rank
156th

Dimension 2.2: Online access - Machine Readability Score over time

  • Madagascar
  • Sierra Leone
00.050.10.150.2201520192023

How they compare

Madagascar currently reports 0.098 against 0.064 in Sierra Leone, a difference of 0.034.

That makes Madagascar's figure about 1.5 times Sierra Leone's.

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

Madagascar ranks 155th and Sierra Leone ranks 156th of 177 countries.

Madagascar has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Madagascar Sierra Leone Difference Ahead
2010s 0.0232 0 0.0232 Madagascar
2020s 0.1455 0.032 0.1135 Madagascar

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Madagascar or Sierra Leone?
Madagascar, at 0.098 against 0.064 in Sierra Leone as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Madagascar and Sierra Leone?
0.034, with Madagascar ahead.
How many years of comparable data are there for Madagascar and Sierra Leone?
9 years are reported by both, from 2015 to 2023.
How do Madagascar and Sierra Leone rank globally for dimension 2.2: online access - machine readability score?
Madagascar ranks 155th 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.