North Macedonia vs Philippines: Dimension 2.2: Online access - Machine Readability Score

North Macedonia
0.85
in 2023
Philippines
0.86
in 2023
North Macedonia rank
55th
Philippines rank
52nd

Dimension 2.2: Online access - Machine Readability Score over time

  • North Macedonia
  • Philippines
0.20.40.60.81201520192023

How they compare

Philippines currently reports 0.86 against 0.85 in North Macedonia, a difference of 0.01.

The two have swapped places 3 times across 9 shared years of data; in 2015 it was North Macedonia ahead.

North Macedonia ranks 55th and Philippines ranks 52nd of 177 countries.

Across the 2 decades both report, North Macedonia averaged higher in 1 and Philippines in 1.

Head to head by decade

Decade North Macedonia Philippines Difference Ahead
2010s 0.876 0.571 0.305 North Macedonia
2020s 0.8835 0.9135 0.03 Philippines

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, North Macedonia or Philippines?
Philippines, at 0.86 against 0.85 in North Macedonia as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between North Macedonia and Philippines?
0.01, with Philippines ahead.
How many years of comparable data are there for North Macedonia and Philippines?
9 years are reported by both, from 2015 to 2023.
How do North Macedonia and Philippines rank globally for dimension 2.2: online access - machine readability score?
North Macedonia ranks 55th and Philippines ranks 52nd 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.