How many years of comparable data are there for Macao and Seychelles?

7 years are reported by both, from 2017 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.

Macao vs Seychelles: Dimension 2.2: Online access - Non-Proprietary format Score

Macao

0.8

in 2023

Seychelles

0.8

in 2023

Macao rank

112th

Seychelles rank

112th

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

Macao
Seychelles

How they compare

Macao currently reports 0.8 against 0.8 in Seychelles, a difference of 0.

The two have swapped places 2 times across 7 shared years of data; in 2017 it was Seychelles ahead.

Macao ranks 112th and Seychelles ranks 112th of 177 countries.

Across the 2 decades both report, Macao averaged higher in 1 and Seychelles in 1.

Head to head by decade

Decade	Macao	Seychelles	Difference	Ahead
2010s	0.652	0.739	0.087	Seychelles
2020s	0.8	0.793	0.007	Macao

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Macao or Seychelles?: Macao, at 0.8 against 0.8 in Seychelles as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Macao and Seychelles?: 0, with Macao ahead.
How many years of comparable data are there for Macao and Seychelles?: 7 years are reported by both, from 2017 to 2023.
How do Macao and Seychelles rank globally for dimension 2.2: online access - non-proprietary format score?: Macao ranks 112th and Seychelles ranks 112th 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.