Kenya vs Madagascar: Dimension 2.2: Online access - Machine Readability Score

Kenya
0.117
in 2023
Madagascar
0.098
in 2023
Kenya rank
153rd
Madagascar rank
155th

Dimension 2.2: Online access - Machine Readability Score over time

  • Kenya
  • Madagascar
00.10.20.3201520192023

How they compare

Kenya currently reports 0.117 against 0.098 in Madagascar, a difference of 0.019.

That makes Kenya's figure about 1.2 times Madagascar's.

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

Kenya ranks 153rd and Madagascar ranks 155th of 177 countries.

Across the 2 decades both report, Kenya averaged higher in 1 and Madagascar in 1.

Head to head by decade

Decade Kenya Madagascar Difference Ahead
2010s 0.1622 0.0232 0.139 Kenya
2020s 0.0585 0.1455 0.087 Madagascar

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Kenya or Madagascar?
Kenya, at 0.117 against 0.098 in Madagascar as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Kenya and Madagascar?
0.019, with Kenya ahead.
How many years of comparable data are there for Kenya and Madagascar?
9 years are reported by both, from 2015 to 2023.
How do Kenya and Madagascar rank globally for dimension 2.2: online access - machine readability score?
Kenya ranks 153rd and Madagascar ranks 155th 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.