Bhutan vs Cambodia: Dimension 2.2: Online access - Machine Readability Score

Bhutan
0.467
in 2023
Cambodia
0.443
in 2023
Bhutan rank
108th
Cambodia rank
111th

Dimension 2.2: Online access - Machine Readability Score over time

  • Bhutan
  • Cambodia
00.10.20.30.40.5201520192023

How they compare

Bhutan currently reports 0.467 against 0.443 in Cambodia, a difference of 0.024.

That makes Bhutan's figure about 1.1 times Cambodia's.

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

Bhutan ranks 108th and Cambodia ranks 111th of 177 countries.

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

Head to head by decade

Decade Bhutan Cambodia Difference Ahead
2010s 0.1684 0.2268 0.0584 Cambodia
2020s 0.2535 0.4225 0.169 Cambodia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Bhutan or Cambodia?
Bhutan, at 0.467 against 0.443 in Cambodia as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Bhutan and Cambodia?
0.024, with Bhutan ahead.
How many years of comparable data are there for Bhutan and Cambodia?
9 years are reported by both, from 2015 to 2023.
How do Bhutan and Cambodia rank globally for dimension 2.2: online access - machine readability score?
Bhutan ranks 108th and Cambodia ranks 111th 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.