Mozambique vs Solomon Islands: Dimension 2.2: Online access - Machine Readability Score
Mozambique
0.064
in 2023
Solomon Islands
0.114
in 2023
Mozambique rank
159th
Solomon Islands rank
156th
Dimension 2.2: Online access - Machine Readability Score over time
- Mozambique
- Solomon Islands
How they compare
Solomon Islands currently reports 0.114 against 0.064 in Mozambique, a difference of 0.05.
That makes Solomon Islands's figure about 1.8 times Mozambique's.
The two have swapped places 2 times across 9 shared years of data; in 2015 it was Solomon Islands ahead.
Mozambique ranks 159th and Solomon Islands ranks 156th of 180 countries.
Across the 2 decades both report, Mozambique averaged higher in 1 and Solomon Islands in 1.
Head to head by decade
| Decade | Mozambique | Solomon Islands | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.2114 | 0.0898 | 0.1216 | Mozambique |
| 2020s | 0.0845 | 0.1345 | 0.05 | Solomon Islands |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 2.2: online access - machine readability score, Mozambique or Solomon Islands?
- Solomon Islands, at 0.114 against 0.064 in Mozambique as of 2023.
- What is the difference in dimension 2.2: online access - machine readability score between Mozambique and Solomon Islands?
- 0.05, with Solomon Islands ahead.
- How many years of comparable data are there for Mozambique and Solomon Islands?
- 9 years are reported by both, from 2015 to 2023.
- How do Mozambique and Solomon Islands rank globally for dimension 2.2: online access - machine readability score?
- Mozambique ranks 159th and Solomon Islands ranks 156th of 180 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.