Somalia vs South Sudan: Dimension 2.2: Online access - Machine Readability Score

Somalia
0.21
in 2023
South Sudan
0.181
in 2023
Somalia rank
142nd
South Sudan rank
145th

Dimension 2.2: Online access - Machine Readability Score over time

  • Somalia
  • South Sudan
00.10.20.30.4201520192023

How they compare

Somalia currently reports 0.21 against 0.181 in South Sudan, a difference of 0.029.

That makes Somalia's figure about 1.2 times South Sudan's.

The two have swapped places 1 time across 7 shared years of data; in 2017 it was South Sudan ahead.

Somalia ranks 142nd and South Sudan ranks 145th of 177 countries.

South Sudan has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Somalia South Sudan Difference Ahead
2010s 0.032 0.133 0.101 South Sudan
2020s 0.1335 0.2785 0.145 South Sudan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Somalia or South Sudan?
Somalia, at 0.21 against 0.181 in South Sudan as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Somalia and South Sudan?
0.029, with Somalia ahead.
How many years of comparable data are there for Somalia and South Sudan?
7 years are reported by both, from 2017 to 2023.
How do Somalia and South Sudan rank globally for dimension 2.2: online access - machine readability score?
Somalia ranks 142nd and South Sudan ranks 145th of 177 countries.
Where does this data come from?
Open Data Watch, published as Dimension 2.2: Online access - Machine Readability Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

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

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.