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

Cameroon ranks 121st out of 177 countries with data for 2023.

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

Over the last ten years it is up 608.9%. The long-run trend across the full record is rising.

Dimension 2.2: Online access - Machine Readability Score in Cameroon

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

Cameroon: Dimension 2.2: Online access - Machine Readability Score was 0.319 in 2023. ▲ Rising

Latest (2023)

0.319

Change on year

unchanged

World rank

121st

of 177 countries

All-time high

0.319

in 2022

All-time low

0.045

in 2015

Years of data

2015–2023

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

Source: Open Data Watch.

Analysis

The most recent figure for dimension 2.2: online access - machine readability score in Cameroon is 0.319, measured in 2023. That is the highest value across all 9 years on record.

That represents a change of up 608.9% over ten years.

Over the whole period, dimension 2.2: online access - machine readability score in Cameroon peaked at 0.319 in 2022 and was at its lowest, 0.045, in 2015.

Cameroon ranks 121st of 177 countries on this measure, in the middle of the range.

Averages by decade

Decade	Average	Lowest	Highest	Years
2010s	0.2002	0.045	0.317	5
2020s	0.274	0.229	0.319	4

Countries ranked near Cameroon

118 El Salvador 0.379 compare
119 South Africa 0.364 compare
120 Paraguay 0.331 compare
122 Lesotho 0.317 compare
123 Samoa 0.312 compare
123 Suriname 0.312 compare

See the full ranking of 179 places →

More reference data data for Cameroon

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.4076 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 3.49 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.56 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.199 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.56 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 1.37 (2050)
Emission Totals - Emissions (N2O) - Manure Management 1.54 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 17.29 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 23.23 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 1.08 (2050)

All data for Cameroon →

Frequently asked questions

What is dimension 2.2: online access - machine readability score in Cameroon?: Dimension 2.2: online access - machine readability score in Cameroon was 0.319 in 2023, according to Open Data Watch.
What is the highest dimension 2.2: online access - machine readability score recorded in Cameroon?: The highest recorded value was 0.319 in 2022.
What is the lowest dimension 2.2: online access - machine readability score recorded in Cameroon?: The lowest recorded value was 0.045 in 2015.
How does Cameroon rank for dimension 2.2: online access - machine readability score?: Cameroon ranks 121st out of 177 countries with data for 2023.
Is dimension 2.2: online access - machine readability score rising or falling in Cameroon?: Over the last ten years it is up 608.9%. The long-run trend across the full record is rising.
Where does this Cameroon 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.