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

Montenegro ranks 87th out of 177 countries with data for 2023.

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

Over the last ten years it is up 1.0%. The long-run trend across the full record is flat.

Dimension 2.2: Online access - Machine Readability Score in Montenegro

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

Montenegro: Dimension 2.2: Online access - Machine Readability Score was 0.624 in 2023. ▬ Flat

Latest (2023)

0.624

Change on year

unchanged

World rank

87th

of 177 countries

All-time high

0.752

in 2018

All-time low

0.618

in 2015

Years of data

2015–2023

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

Source: Open Data Watch.

Analysis

In 2023, dimension 2.2: online access - machine readability score in Montenegro stood at 0.624.

Compared with earlier readings it is up 1.0% over ten years.

Over the whole period, dimension 2.2: online access - machine readability score in Montenegro peaked at 0.752 in 2018 and was at its lowest, 0.618, in 2015.

Montenegro ranks 87th of 177 countries on this measure, in the middle of the range.

Averages by decade

Decade	Average	Lowest	Highest	Years
2010s	0.6942	0.618	0.752	5
2020s	0.6705	0.624	0.717	4

Countries ranked near Montenegro

84 Panama 0.664 compare
85 Lebanon 0.633 compare
86 Kyrgyzstan 0.631 compare
87 Greece 0.624 compare
89 Laos 0.619 compare
89 Malta 0.619 compare
89 Zimbabwe 0.619 compare

See the full ranking of 179 places →

More reference data data for Montenegro

Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.095 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.095 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0412 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0009 (2050)
Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0413 (2050)
Emission Totals - Direct emissions (N2O) - Agricultural Soils 0.2693 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat 383.68 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 1.29 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 0.1407 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 46.05 (2050)

All data for Montenegro →

Frequently asked questions

What is dimension 2.2: online access - machine readability score in Montenegro?: Dimension 2.2: online access - machine readability score in Montenegro was 0.624 in 2023, according to Open Data Watch.
What is the highest dimension 2.2: online access - machine readability score recorded in Montenegro?: The highest recorded value was 0.752 in 2018.
What is the lowest dimension 2.2: online access - machine readability score recorded in Montenegro?: The lowest recorded value was 0.618 in 2015.
How does Montenegro rank for dimension 2.2: online access - machine readability score?: Montenegro ranks 87th out of 177 countries with data for 2023.
Is dimension 2.2: online access - machine readability score rising or falling in Montenegro?: Over the last ten years it is up 1.0%. The long-run trend across the full record is flat.
Where does this Montenegro 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.