How does Philippines rank for dimension 2.2: online access - machine readability score?

Philippines ranks 52nd out of 177 countries with data for 2023.

Is dimension 2.2: online access - machine readability score rising or falling in Philippines?

Over the last ten years it is up 242.6%. The long-run trend across the full record is rising.

Dimension 2.2: Online access - Machine Readability Score in Philippines

Name: Dimension 2.2: Online access - Machine Readability Score in Philippines
Creator: Open Data Watch
License: CC BY 4.0 (World Bank Open Data)

Philippines: Dimension 2.2: Online access - Machine Readability Score was 0.86 in 2023. ▲ Rising

Latest (2023)

0.86

Change on year

unchanged

World rank

52nd

of 177 countries

All-time high

0.967

in 2020

All-time low

0.158

in 2016

Years of data

2015–2023

Dimension 2.2: Online access - Machine Readability Score in Philippines, 2015–2023

Source: Open Data Watch.

Analysis

The most recent figure for dimension 2.2: online access - machine readability score in Philippines is 0.86, measured in 2023.

The figure is up 242.6% over ten years.

Over the whole period, dimension 2.2: online access - machine readability score in Philippines peaked at 0.967 in 2020 and was at its lowest, 0.158, in 2016.

That places Philippines 52nd out of 177 countries with data for 2023, putting it in the middle of the range.

Averages by decade

Decade	Average	Lowest	Highest	Years
2010s	0.571	0.158	0.944	5
2020s	0.9135	0.86	0.967	4

Countries ranked near Philippines

49 Austria 0.871 compare
50 Bulgaria 0.867 compare
50 Spain 0.867 compare
52 Bahrain 0.86 compare
54 Bolivia 0.855 compare
55 North Macedonia 0.85 compare

See the full ranking of 179 places →

More reference data data for Philippines

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 2.21 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.95 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 12.86 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 1.43 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 12.86 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 7.4 (2050)
Emission Totals - Emissions (N2O) - Manure Management 10.7 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 15.23 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 67.05 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 7.76 (2050)

All data for Philippines →

Frequently asked questions

What is dimension 2.2: online access - machine readability score in Philippines?: Dimension 2.2: online access - machine readability score in Philippines was 0.86 in 2023, according to Open Data Watch.
What is the highest dimension 2.2: online access - machine readability score recorded in Philippines?: The highest recorded value was 0.967 in 2020.
What is the lowest dimension 2.2: online access - machine readability score recorded in Philippines?: The lowest recorded value was 0.158 in 2016.
How does Philippines rank for dimension 2.2: online access - machine readability score?: Philippines ranks 52nd out of 177 countries with data for 2023.
Is dimension 2.2: online access - machine readability score rising or falling in Philippines?: Over the last ten years it is up 242.6%. The long-run trend across the full record is rising.
Where does this Philippines data come from?: The figures come from Open Data Watch, published as part of Dimension 2.2: Online access - Machine Readability Score. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 9 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

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: 10 August 2026

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.