Djibouti vs Solomon Islands: Dimension 2.2: Online access - Machine Readability Score
Djibouti
0.098
in 2023
Solomon Islands
0.114
in 2023
Djibouti rank
157th
Solomon Islands rank
156th
Dimension 2.2: Online access - Machine Readability Score over time
- Djibouti
- Solomon Islands
How they compare
Solomon Islands currently reports 0.114 against 0.098 in Djibouti, a difference of 0.016.
That makes Solomon Islands's figure about 1.2 times Djibouti's.
The two have swapped places 2 times across 9 shared years of data; in 2015 it was Solomon Islands ahead.
Djibouti ranks 157th and Solomon Islands ranks 156th of 180 countries.
Across the 2 decades both report, Djibouti averaged higher in 1 and Solomon Islands in 1.
Head to head by decade
| Decade | Djibouti | Solomon Islands | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.1054 | 0.0898 | 0.0156 | Djibouti |
| 2020s | 0.123 | 0.1345 | 0.0115 | 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, Djibouti or Solomon Islands?
- Solomon Islands, at 0.114 against 0.098 in Djibouti as of 2023.
- What is the difference in dimension 2.2: online access - machine readability score between Djibouti and Solomon Islands?
- 0.016, with Solomon Islands ahead.
- How many years of comparable data are there for Djibouti and Solomon Islands?
- 9 years are reported by both, from 2015 to 2023.
- How do Djibouti and Solomon Islands rank globally for dimension 2.2: online access - machine readability score?
- Djibouti ranks 157th 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.