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

Peru ranks 13th out of 177 countries with data for 2023.

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

Over the last ten years it is up 7.7%. The long-run trend across the full record is rising.

Dimension 2.2: Online access - Machine Readability Score in Peru

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

Peru: Dimension 2.2: Online access - Machine Readability Score was 0.967 in 2023. ▲ Rising

Latest (2023)

0.967

Change on year

unchanged

World rank

13th

of 177 countries

All-time high

0.967

in 2022

All-time low

0.783

in 2016

Years of data

2015–2023

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

Source: Open Data Watch.

Analysis

The most recent figure for dimension 2.2: online access - machine readability score in Peru is 0.967, measured in 2023. That is the highest value across all 9 years on record.

Compared with earlier readings it is up 7.7% over ten years.

Over the whole period, dimension 2.2: online access - machine readability score in Peru peaked at 0.967 in 2022 and was at its lowest, 0.783, in 2016.

Peru ranks 13th of 177 countries on this measure, in the top 10%.

Averages by decade

Decade	Average	Lowest	Highest	Years
2010s	0.863	0.783	0.898	5
2020s	0.9335	0.9	0.967	4

Countries ranked near Peru

12 Norway 0.983 compare
13 Estonia 0.967 compare
13 Hong Kong 0.967 compare
13 Latvia 0.967 compare
13 Romania 0.967 compare
13 Slovenia 0.967 compare
13 United Arab Emirates 0.967 compare

See the full ranking of 179 places →

More reference data data for Peru

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.15 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.39 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 7.94 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3808 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 7.94 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 3.84 (2050)
Emission Totals - Emissions (N2O) - Manure Management 1.94 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 18.98 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 35.25 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 2.07 (2050)

All data for Peru →

Frequently asked questions

What is dimension 2.2: online access - machine readability score in Peru?: Dimension 2.2: online access - machine readability score in Peru was 0.967 in 2023, according to Open Data Watch.
What is the highest dimension 2.2: online access - machine readability score recorded in Peru?: The highest recorded value was 0.967 in 2022.
What is the lowest dimension 2.2: online access - machine readability score recorded in Peru?: The lowest recorded value was 0.783 in 2016.
How does Peru rank for dimension 2.2: online access - machine readability score?: Peru ranks 13th out of 177 countries with data for 2023.
Is dimension 2.2: online access - machine readability score rising or falling in Peru?: Over the last ten years it is up 7.7%. The long-run trend across the full record is rising.
Where does this Peru 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.