Philippines vs Singapore: Dimension 2.2: Online access - Non-Proprietary format Score

Philippines
1
in 2023
Singapore
1
in 2023
Philippines rank
1st
Singapore rank
1st

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

  • Philippines
  • Singapore
00.20.40.60.81201520192023

How they compare

Philippines currently reports 1 against 1 in Singapore, a difference of 0.

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

Philippines ranks 1st and Singapore ranks 1st of 177 countries.

Across the 2 decades both report, Philippines averaged higher in 1 and Singapore in 1.

Head to head by decade

Decade Philippines Singapore Difference Ahead
2010s 0.9788 0.8845 0.0942 Philippines
2020s 0.988 1 0.012 Singapore

Averages of every year both report within each decade.

Frequently asked questions

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

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.