Democratic Republic of Congo vs Solomon Islands: Dimension 2.2: Online access - Machine Readability Score
Dimension 2.2: Online access - Machine Readability Score over time
- Democratic Republic of Congo
- Solomon Islands
How they compare
Democratic Republic of Congo currently reports 0.129 against 0.114 in Solomon Islands, a difference of 0.015.
That makes Democratic Republic of Congo's figure about 1.1 times Solomon Islands's.
The two have swapped places 1 time across 9 shared years of data; in 2015 it was Solomon Islands ahead.
Democratic Republic of Congo ranks 151st and Solomon Islands ranks 154th of 177 countries.
Across the 2 decades both report, Democratic Republic of Congo averaged higher in 1 and Solomon Islands in 1.
Head to head by decade
| Decade | Democratic Republic of Congo | Solomon Islands | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.036 | 0.0898 | 0.0538 | Solomon Islands |
| 2020s | 0.2 | 0.1345 | 0.0655 | Democratic Republic of Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 2.2: online access - machine readability score, Democratic Republic of Congo or Solomon Islands?
- Democratic Republic of Congo, at 0.129 against 0.114 in Solomon Islands as of 2023.
- What is the difference in dimension 2.2: online access - machine readability score between Democratic Republic of Congo and Solomon Islands?
- 0.015, with Democratic Republic of Congo ahead.
- How many years of comparable data are there for Democratic Republic of Congo and Solomon Islands?
- 9 years are reported by both, from 2015 to 2023.
- How do Democratic Republic of Congo and Solomon Islands rank globally for dimension 2.2: online access - machine readability score?
- Democratic Republic of Congo ranks 151st and Solomon Islands ranks 154th 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.