How many years of comparable data are there for Hong Kong and Thailand?

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.

Hong Kong vs Thailand: Dimension 2.2: Online access - Non-Proprietary format Score

Hong Kong

in 2023

Thailand

in 2023

Hong Kong rank

1st

Thailand rank

1st

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

Hong Kong
Thailand

How they compare

Hong Kong currently reports 1 against 1 in Thailand, a difference of 0.

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

Hong Kong ranks 1st and Thailand ranks 1st of 177 countries.

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

Head to head by decade

Decade	Hong Kong	Thailand	Difference	Ahead
2010s	0.9295	0.8648	0.0647	Hong Kong
2020s	0.9915	0.988	0.0035	Hong Kong

Averages of every year both report within each decade.

Frequently asked questions

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