How many years of comparable data are there for Kenya and Philippines?

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.

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

Kenya

in 2023

Philippines

in 2023

Kenya rank

1st

Philippines rank

1st

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

Kenya
Philippines

How they compare

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

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

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

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

Head to head by decade

Decade	Kenya	Philippines	Difference	Ahead
2010s	0.7698	0.801	0.0312	Philippines
2020s	0.9665	0.988	0.0215	Philippines

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - non-proprietary format score, Kenya or Philippines?: Kenya, at 1 against 1 in Philippines as of 2023.
What is the difference in dimension 2.2: online access - non-proprietary format score between Kenya and Philippines?: 0, with Kenya ahead.
How many years of comparable data are there for Kenya and Philippines?: 9 years are reported by both, from 2015 to 2023.
How do Kenya and Philippines rank globally for dimension 2.2: online access - non-proprietary format score?: Kenya ranks 1st and Philippines 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.