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

Palestine ranks 61st out of 177 countries with data for 2023.

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

Over the last ten years it is up 232.1%. The long-run trend across the full record is volatile.

Dimension 2.2: Online access - Machine Readability Score in Palestine

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

Palestine: Dimension 2.2: Online access - Machine Readability Score was 0.817 in 2023. ◆ Volatile

Latest (2023)

0.817

Change on year

unchanged

World rank

61st

of 177 countries

All-time high

0.817

in 2022

All-time low

0.048

in 2016

Years of data

2015–2023

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

Source: Open Data Watch.

Analysis

Palestine recorded 0.817 for dimension 2.2: online access - machine readability score in 2023. That is the highest value across all 9 years on record.

That represents a change of up 232.1% over ten years.

Over the whole period, dimension 2.2: online access - machine readability score in Palestine peaked at 0.817 in 2022 and was at its lowest, 0.048, in 2016.

Palestine ranks 61st of 177 countries on this measure, in the middle of the range.

Averages by decade

Decade	Average	Lowest	Highest	Years
2010s	0.1904	0.048	0.251	5
2020s	0.7965	0.776	0.817	4

Countries ranked near Palestine

61 India 0.817 compare
63 Uruguay 0.8 compare
64 Albania 0.793 compare

See the full ranking of 179 places →

More reference data data for Palestine

Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 169.14 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 0.7088 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 0.6383 (2050)
Emission Totals - Emissions (N2O) - Manure Management 0.0127 (2050)
Emission Totals - Emissions (CH4) - Burning - Crop residues 0.0193 (2050)
Emission Totals - Emissions (CH4) - Enteric Fermentation 8.83 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 0.022 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 5.84 (2050)
Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0005 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 187.82 (2050)

All data for Palestine →

Frequently asked questions

What is dimension 2.2: online access - machine readability score in Palestine?: Dimension 2.2: online access - machine readability score in Palestine was 0.817 in 2023, according to Open Data Watch.
What is the highest dimension 2.2: online access - machine readability score recorded in Palestine?: The highest recorded value was 0.817 in 2022.
What is the lowest dimension 2.2: online access - machine readability score recorded in Palestine?: The lowest recorded value was 0.048 in 2016.
How does Palestine rank for dimension 2.2: online access - machine readability score?: Palestine ranks 61st out of 177 countries with data for 2023.
Is dimension 2.2: online access - machine readability score rising or falling in Palestine?: Over the last ten years it is up 232.1%. The long-run trend across the full record is volatile.
Where does this Palestine 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.