Bolivia vs Philippines: Dimension 2.2: Online access - Machine Readability Score

Bolivia
0.855
in 2023
Philippines
0.86
in 2023
Bolivia rank
54th
Philippines rank
52nd

Dimension 2.2: Online access - Machine Readability Score over time

  • Bolivia
  • Philippines
0.20.40.60.81201520192023

How they compare

Philippines currently reports 0.86 against 0.855 in Bolivia, a difference of 0.005.

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

Bolivia ranks 54th and Philippines ranks 52nd of 177 countries.

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

Head to head by decade

Decade Bolivia Philippines Difference Ahead
2010s 0.7656 0.571 0.1946 Bolivia
2020s 0.7975 0.9135 0.116 Philippines

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Bolivia or Philippines?
Philippines, at 0.86 against 0.855 in Bolivia as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Bolivia and Philippines?
0.005, with Philippines ahead.
How many years of comparable data are there for Bolivia and Philippines?
9 years are reported by both, from 2015 to 2023.
How do Bolivia and Philippines rank globally for dimension 2.2: online access - machine readability score?
Bolivia ranks 54th 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.