How many years of comparable data are there for Moldova and Vietnam?

9 years are reported by both, from 2015 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.

Moldova vs Vietnam: Dimension 2.2: Online access - Non-Proprietary format Score

Moldova

0.967

in 2023

Vietnam

0.967

in 2023

Moldova rank

30th

Vietnam rank

30th

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

Moldova
Vietnam

How they compare

Moldova currently reports 0.967 against 0.967 in Vietnam, a difference of 0.

The two have swapped places 1 time across 9 shared years of data; in 2015 it was Moldova ahead.

Moldova ranks 30th and Vietnam ranks 30th of 177 countries.

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

Head to head by decade

Decade	Moldova	Vietnam	Difference	Ahead
2010s	0.9258	0.6892	0.2366	Moldova
2020s	0.967	0.919	0.048	Moldova

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Moldova or Vietnam?: Moldova, at 0.967 against 0.967 in Vietnam as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Moldova and Vietnam?: 0, with Moldova ahead.
How many years of comparable data are there for Moldova and Vietnam?: 9 years are reported by both, from 2015 to 2023.
How do Moldova and Vietnam rank globally for dimension 2.2: online access - non-proprietary format score?: Moldova ranks 30th and Vietnam ranks 30th 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.