India vs Uruguay: Dimension 2.2: Online access - Machine Readability Score

India
0.817
in 2023
Uruguay
0.8
in 2023
India rank
61st
Uruguay rank
63rd

Dimension 2.2: Online access - Machine Readability Score over time

  • India
  • Uruguay
00.20.40.60.81201520192023

How they compare

India currently reports 0.817 against 0.8 in Uruguay, a difference of 0.017.

Across all 9 years both countries report, India has been ahead every year.

India ranks 61st and Uruguay ranks 63rd of 180 countries.

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

Head to head by decade

Decade India Uruguay Difference Ahead
2010s 0.9772 0.7682 0.209 India
2020s 0.8215 0.8085 0.013 India

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, India or Uruguay?
India, at 0.817 against 0.8 in Uruguay as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between India and Uruguay?
0.017, with India ahead.
How many years of comparable data are there for India and Uruguay?
9 years are reported by both, from 2015 to 2023.
How do India and Uruguay rank globally for dimension 2.2: online access - machine readability score?
India ranks 61st and Uruguay ranks 63rd of 180 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.

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India vs Uruguay: Dimension 2.2: Online access - Machine Readability Score. Statizoid, drawing on Open Data Watch. Retrieved 24 September 2026, from https://reference.statizoid.com/compare/dimension-2-2-online-access-machine-readability-score/india/uruguay/

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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
180 places, 1,560 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.