How many years of comparable data are there for Hungary and Jamaica?

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.

Hungary vs Jamaica: Dimension 2.2: Online access - Non-Proprietary format Score

Hungary

0.919

in 2023

Jamaica

0.929

in 2023

Hungary rank

61st

Jamaica rank

58th

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

Hungary
Jamaica

How they compare

Jamaica currently reports 0.929 against 0.919 in Hungary, a difference of 0.01.

The two have swapped places 1 time across 8 shared years of data; in 2016 it was Hungary ahead.

Hungary ranks 61st and Jamaica ranks 58th of 177 countries.

Across the 2 decades both report, Hungary averaged higher in 1 and Jamaica in 1.

Head to head by decade

Decade	Hungary	Jamaica	Difference	Ahead
2010s	0.8435	0.7412	0.1023	Hungary
2020s	0.9105	0.936	0.0255	Jamaica

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Hungary or Jamaica?: Jamaica, at 0.929 against 0.919 in Hungary as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Hungary and Jamaica?: 0.01, with Jamaica ahead.
How many years of comparable data are there for Hungary and Jamaica?: 8 years are reported by both, from 2016 to 2023.
How do Hungary and Jamaica rank globally for dimension 2.2: online access - non-proprietary format score?: Hungary ranks 61st and Jamaica ranks 58th of 177 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.