Malaysia vs United States: Dimension 2.2: Online access - Machine Readability Score

Malaysia
0.917
in 2023
United States
0.917
in 2023
Malaysia rank
37th
United States rank
37th

Dimension 2.2: Online access - Machine Readability Score over time

  • Malaysia
  • United States
00.20.40.60.81201520192023

How they compare

Malaysia currently reports 0.917 against 0.917 in United States, a difference of 0.

The two have swapped places 2 times across 8 shared years of data; in 2016 it was United States ahead.

Malaysia ranks 37th and United States ranks 37th of 177 countries.

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

Head to head by decade

Decade Malaysia United States Difference Ahead
2010s 0.7893 0.8448 0.0555 United States
2020s 0.9 0.9 0

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Malaysia or United States?
Malaysia, at 0.917 against 0.917 in United States as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Malaysia and United States?
0, with Malaysia ahead.
How many years of comparable data are there for Malaysia and United States?
8 years are reported by both, from 2016 to 2023.
How do Malaysia and United States rank globally for dimension 2.2: online access - machine readability score?
Malaysia ranks 37th and United States ranks 37th 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.