Rwanda vs Saint Lucia: Dimension 2.2: Online access - Machine Readability Score

Rwanda
0.548
in 2023
Saint Lucia
0.557
in 2023
Rwanda rank
101st
Saint Lucia rank
100th

Dimension 2.2: Online access - Machine Readability Score over time

  • Rwanda
  • Saint Lucia
00.20.40.60.81201520192023

How they compare

Saint Lucia currently reports 0.557 against 0.548 in Rwanda, a difference of 0.009.

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

Rwanda ranks 101st and Saint Lucia ranks 100th of 177 countries.

Across the 2 decades both report, Rwanda averaged higher in 1 and Saint Lucia in 1.

Head to head by decade

Decade Rwanda Saint Lucia Difference Ahead
2010s 0.5738 0.0546 0.5192 Rwanda
2020s 0.606 0.6605 0.0545 Saint Lucia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Rwanda or Saint Lucia?
Saint Lucia, at 0.557 against 0.548 in Rwanda as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Rwanda and Saint Lucia?
0.009, with Saint Lucia ahead.
How many years of comparable data are there for Rwanda and Saint Lucia?
9 years are reported by both, from 2015 to 2023.
How do Rwanda and Saint Lucia rank globally for dimension 2.2: online access - machine readability score?
Rwanda ranks 101st and Saint Lucia ranks 100th 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.