How many years of comparable data are there for Nepal and Switzerland?

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.

Nepal vs Switzerland: Dimension 2.2: Online access - Non-Proprietary format Score

Nepal

in 2023

Switzerland

in 2023

Nepal rank

1st

Switzerland rank

1st

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

Nepal
Switzerland

How they compare

Nepal currently reports 1 against 1 in Switzerland, a difference of 0.

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

Nepal ranks 1st and Switzerland ranks 1st of 177 countries.

Across the 2 decades both report, Nepal averaged higher in 1 and Switzerland in 1.

Head to head by decade

Decade	Nepal	Switzerland	Difference	Ahead
2010s	0.8273	0.6108	0.2165	Nepal
2020s	0.9835	1	0.0165	Switzerland

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Nepal or Switzerland?: Nepal, at 1 against 1 in Switzerland as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Nepal and Switzerland?: 0, with Nepal ahead.
How many years of comparable data are there for Nepal and Switzerland?: 8 years are reported by both, from 2016 to 2023.
How do Nepal and Switzerland rank globally for dimension 2.2: online access - non-proprietary format score?: Nepal ranks 1st and Switzerland ranks 1st 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.