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

Chile
0.805
in 2023
Macao
0.8
in 2023
Chile rank
111th
Macao rank
114th

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

  • Chile
  • Macao
0.20.40.60.8201520192023

How they compare

Chile currently reports 0.805 against 0.8 in Macao, a difference of 0.005.

The two have swapped places 1 time across 7 shared years of data; in 2017 it was Macao ahead.

Chile ranks 111th and Macao ranks 114th of 180 countries.

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

Head to head by decade

Decade Chile Macao Difference Ahead
2010s 0.5577 0.652 0.0943 Macao
2020s 0.774 0.8 0.026 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, Chile or Macao?
Chile, at 0.805 against 0.8 in Macao as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Chile and Macao?
0.005, with Chile ahead.
How many years of comparable data are there for Chile and Macao?
7 years are reported by both, from 2017 to 2023.
How do Chile and Macao rank globally for dimension 2.2: online access - non-proprietary format score?
Chile ranks 111th and Macao ranks 114th of 180 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.

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Chile vs Macao: Dimension 2.2: Online access - Non-Proprietary format Score. Statizoid, drawing on Open Data Watch. Retrieved 24 September 2026, from https://reference.statizoid.com/compare/dimension-2-2-online-access-non-proprietary-format-score/chile/macao-sar-china/

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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
180 places, 1,560 data points, 2015–2023
Last refreshed

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.