Malawi vs Sao Tome and Principe: Dimension 2.2: Online access - Machine Readability Score
Malawi
0.057
in 2023
Sao Tome and Principe
0.048
in 2023
Malawi rank
159th
Sao Tome and Principe rank
161st
Dimension 2.2: Online access - Machine Readability Score over time
- Malawi
- Sao Tome and Principe
How they compare
Malawi currently reports 0.057 against 0.048 in Sao Tome and Principe, a difference of 0.009.
That makes Malawi's figure about 1.2 times Sao Tome and Principe's.
The two have swapped places 2 times across 9 shared years of data; in 2015 it was Malawi ahead.
Malawi ranks 159th and Sao Tome and Principe ranks 161st of 177 countries.
Across the 2 decades both report, Malawi averaged higher in 1 and Sao Tome and Principe in 1.
Head to head by decade
| Decade | Malawi | Sao Tome and Principe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.2864 | 0.3682 | 0.0818 | Sao Tome and Principe |
| 2020s | 0.082 | 0.048 | 0.034 | Malawi |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 2.2: online access - machine readability score, Malawi or Sao Tome and Principe?
- Malawi, at 0.057 against 0.048 in Sao Tome and Principe as of 2023.
- What is the difference in dimension 2.2: online access - machine readability score between Malawi and Sao Tome and Principe?
- 0.009, with Malawi ahead.
- How many years of comparable data are there for Malawi and Sao Tome and Principe?
- 9 years are reported by both, from 2015 to 2023.
- How do Malawi and Sao Tome and Principe rank globally for dimension 2.2: online access - machine readability score?
- Malawi ranks 159th 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.