Niger vs Sao Tome and Principe: Dimension 2.2: Online access - Machine Readability Score
Niger
0.04
in 2023
Sao Tome and Principe
0.048
in 2023
Niger rank
162nd
Sao Tome and Principe rank
161st
Dimension 2.2: Online access - Machine Readability Score over time
- Niger
- Sao Tome and Principe
How they compare
Sao Tome and Principe currently reports 0.048 against 0.04 in Niger, a difference of 0.008.
That makes Sao Tome and Principe's figure about 1.2 times Niger's.
Across all 9 years both countries report, Sao Tome and Principe has been ahead every year.
Niger ranks 162nd and Sao Tome and Principe ranks 161st of 177 countries.
Sao Tome and Principe has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Niger | Sao Tome and Principe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.1132 | 0.3682 | 0.255 | Sao Tome and Principe |
| 2020s | 0.0285 | 0.048 | 0.0195 | Sao Tome and Principe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 2.2: online access - machine readability score, Niger or Sao Tome and Principe?
- Sao Tome and Principe, at 0.048 against 0.04 in Niger as of 2023.
- What is the difference in dimension 2.2: online access - machine readability score between Niger and Sao Tome and Principe?
- 0.008, with Sao Tome and Principe ahead.
- How many years of comparable data are there for Niger and Sao Tome and Principe?
- 9 years are reported by both, from 2015 to 2023.
- How do Niger and Sao Tome and Principe rank globally for dimension 2.2: online access - machine readability score?
- Niger ranks 162nd and Sao Tome and Principe ranks 161st 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
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.