How many years of comparable data are there for Djibouti and Latvia?

8 years are reported by both, from 2016 to 2023.

Where does this data come from?

Open Data Watch, published as Dimension 2.2: Online access - Non-Proprietary format Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Djibouti vs Latvia: Dimension 2.2: Online access - Non-Proprietary format Score

Djibouti

0.767

in 2023

Latvia

in 2023

Djibouti rank

1st

Latvia rank

1st

Dimension 2.2: Online access - Non-Proprietary format Score over time

Djibouti
Latvia

How they compare

Latvia currently reports 1 against 0.767 in Djibouti, a difference of 0.233.

That makes Latvia's figure about 1.3 times Djibouti's.

Across all 8 years both countries report, Latvia has been ahead every year.

Djibouti ranks 1st and Latvia ranks 1st of 1 countries.

Latvia has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade	Djibouti	Latvia	Difference	Ahead
2010s	0.696	0.9263	0.2303	Latvia
2020s	0.717	0.919	0.202	Latvia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Djibouti or Latvia?: Latvia, at 1 against 0.767 in Djibouti as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Djibouti and Latvia?: 0.233, with Latvia ahead.
How many years of comparable data are there for Djibouti and Latvia?: 8 years are reported by both, from 2016 to 2023.
How do Djibouti and Latvia rank globally for dimension 2.2: online access - non-proprietary format score?: Djibouti ranks 1st and Latvia ranks 1st of 1 countries.
Where does this data come from?: Open Data Watch, published as Dimension 2.2: Online access - Non-Proprietary format Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator: Dimension 2.2: Online access - Non-Proprietary format Score
Source: Open Data Watch
Licence: CC BY 4.0 (World Bank Open Data)
Coverage: 179 places, 1,551 data points, 2015–2023
Last refreshed: 10 August 2026

This openness element measures whether data are made available in nonproprietary formats. Nonproprietary file formats are important because they allow users to access data without requiring the use of a costly, proprietary software that may prevent some users from accessing the data. Common nonproprietary formats include PDF, HTML, XLSX, DOCX, CSV, and JSON files.