What is the highest dimension 2.2: online access - machine readability score recorded in Democratic Republic of Congo?

The highest recorded value was 0.271 in 2020.

What is the lowest dimension 2.2: online access - machine readability score recorded in Democratic Republic of Congo?

The lowest recorded value was 0 in 2015.

How does Democratic Republic of Congo rank for dimension 2.2: online access - machine readability score?

Democratic Republic of Congo ranks 151st out of 177 countries with data for 2023.

Dimension 2.2: Online access - Machine Readability Score in Democratic Republic of Congo

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

Democratic Republic of Congo: Dimension 2.2: Online access - Machine Readability Score was 0.129 in 2023. ◆ Volatile

Latest (2023)

0.129

Change on year

unchanged

World rank

151st

of 177 countries

All-time high

0.271

in 2020

All-time low

in 2015

Years of data

2015–2023

Dimension 2.2: Online access - Machine Readability Score in Democratic Republic of Congo, 2015–2023

Source: Open Data Watch.

Analysis

In 2023, dimension 2.2: online access - machine readability score in Democratic Republic of Congo stood at 0.129.

The figure is up 43.3% over five years.

Over the whole period, dimension 2.2: online access - machine readability score in Democratic Republic of Congo peaked at 0.271 in 2020 and was at its lowest, 0, in 2015.

Democratic Republic of Congo ranks 151st of 177 countries on this measure, in the bottom quarter.

Averages by decade

Decade	Average	Lowest	Highest	Years
2010s	0.036	0	0.09	5
2020s	0.2	0.129	0.271	4

Countries ranked near Democratic Republic of Congo

148 Chad 0.143 compare
149 Senegal 0.136 compare
150 Vanuatu 0.133 compare
152 Togo 0.121 compare
153 Kenya 0.117 compare
154 Solomon Islands 0.114 compare

See the full ranking of 179 places →

More reference data data for Democratic Republic of Congo

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.3528 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.56 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 2.31 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.335 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 2.31 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 1.18 (2050)
Emission Totals - Emissions (N2O) - Manure Management 1.44 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 6.66 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 11.56 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 1.82 (2050)

All data for Democratic Republic of Congo →

Frequently asked questions

What is dimension 2.2: online access - machine readability score in Democratic Republic of Congo?: Dimension 2.2: online access - machine readability score in Democratic Republic of Congo was 0.129 in 2023, according to Open Data Watch.
What is the highest dimension 2.2: online access - machine readability score recorded in Democratic Republic of Congo?: The highest recorded value was 0.271 in 2020.
What is the lowest dimension 2.2: online access - machine readability score recorded in Democratic Republic of Congo?: The lowest recorded value was 0 in 2015.
How does Democratic Republic of Congo rank for dimension 2.2: online access - machine readability score?: Democratic Republic of Congo ranks 151st out of 177 countries with data for 2023.
Where does this Democratic Republic of Congo 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.