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

Malawi
0.057
in 2023
Sierra Leone
0.064
in 2023
Malawi rank
159th
Sierra Leone rank
156th

Dimension 2.2: Online access - Machine Readability Score over time

  • Malawi
  • Sierra Leone
00.20.40.6201520192023

How they compare

Sierra Leone currently reports 0.064 against 0.057 in Malawi, a difference of 0.007.

That makes Sierra Leone's figure about 1.1 times Malawi's.

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

Malawi ranks 159th and Sierra Leone ranks 156th of 177 countries.

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

Head to head by decade

Decade Malawi Sierra Leone Difference Ahead
2010s 0.2864 0 0.2864 Malawi
2020s 0.082 0.032 0.05 Malawi

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Malawi or Sierra Leone?
Sierra Leone, at 0.064 against 0.057 in Malawi as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Malawi and Sierra Leone?
0.007, with Sierra Leone ahead.
How many years of comparable data are there for Malawi and Sierra Leone?
9 years are reported by both, from 2015 to 2023.
How do Malawi and Sierra Leone rank globally for dimension 2.2: online access - machine readability score?
Malawi ranks 159th 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.