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

Saint Lucia ranks 100th out of 177 countries with data for 2023.

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

Over the last ten years it is up 214.7%. The long-run trend across the full record is volatile.

Dimension 2.2: Online access - Machine Readability Score in Saint Lucia

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

Saint Lucia: Dimension 2.2: Online access - Machine Readability Score was 0.557 in 2023. ◆ Volatile

Latest (2023)

0.557

Change on year

unchanged

World rank

100th

of 177 countries

All-time high

0.764

in 2020

All-time low

0.024

in 2016

Years of data

2015–2023

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

Source: Open Data Watch.

Analysis

In 2023, dimension 2.2: online access - machine readability score in Saint Lucia stood at 0.557.

Compared with earlier readings it is up 214.7% over ten years.

Over the whole period, dimension 2.2: online access - machine readability score in Saint Lucia peaked at 0.764 in 2020 and was at its lowest, 0.024, in 2016.

Saint Lucia ranks 100th of 177 countries on this measure, in the middle of the range.

Averages by decade

Decade	Average	Lowest	Highest	Years
2010s	0.0546	0.024	0.177	5
2020s	0.6605	0.557	0.764	4

Countries ranked near Saint Lucia

97 Kuwait 0.579 compare
98 Argentina 0.571 compare
99 Liberia 0.562 compare
101 Rwanda 0.548 compare
102 Guatemala 0.519 compare
103 Ethiopia 0.512 compare

See the full ranking of 179 places →

More reference data data for Saint Lucia

Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0143 (2050)
Emission Totals - Direct emissions (N2O) - Manure applied to Soils 0.0146 (2050)
Emission Totals - Emissions (CH4) - Enteric Fermentation 1.03 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Crop Residues 0.0024 (1979)
Emission Totals - Direct emissions (N2O) - Manure left on Pasture 0.0325 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Burning - Crop residues 0 (1980)
Emission Totals - Direct emissions (N2O) - Agricultural Soils 0.0471 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Agricultural Soils 16.27 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 10.75 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 5.52 (2050)

All data for Saint Lucia →

Frequently asked questions

What is dimension 2.2: online access - machine readability score in Saint Lucia?: Dimension 2.2: online access - machine readability score in Saint Lucia was 0.557 in 2023, according to Open Data Watch.
What is the highest dimension 2.2: online access - machine readability score recorded in Saint Lucia?: The highest recorded value was 0.764 in 2020.
What is the lowest dimension 2.2: online access - machine readability score recorded in Saint Lucia?: The lowest recorded value was 0.024 in 2016.
How does Saint Lucia rank for dimension 2.2: online access - machine readability score?: Saint Lucia ranks 100th out of 177 countries with data for 2023.
Is dimension 2.2: online access - machine readability score rising or falling in Saint Lucia?: Over the last ten years it is up 214.7%. The long-run trend across the full record is volatile.
Where does this Saint Lucia 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.