Namibia vs Papua New Guinea: Dimension 2.2: Online access - Machine Readability Score

Namibia
0.224
in 2023
Papua New Guinea
0.243
in 2023
Namibia rank
138th
Papua New Guinea rank
135th

Dimension 2.2: Online access - Machine Readability Score over time

  • Namibia
  • Papua New Guinea
00.10.20.3201520192023

How they compare

Papua New Guinea currently reports 0.243 against 0.224 in Namibia, a difference of 0.019.

That makes Papua New Guinea's figure about 1.1 times Namibia's.

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

Namibia ranks 138th and Papua New Guinea ranks 135th of 177 countries.

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

Head to head by decade

Decade Namibia Papua New Guinea Difference Ahead
2010s 0.2358 0.048 0.1878 Namibia
2020s 0.269 0.169 0.1 Namibia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Namibia or Papua New Guinea?
Papua New Guinea, at 0.243 against 0.224 in Namibia as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Namibia and Papua New Guinea?
0.019, with Papua New Guinea ahead.
How many years of comparable data are there for Namibia and Papua New Guinea?
9 years are reported by both, from 2015 to 2023.
How do Namibia and Papua New Guinea rank globally for dimension 2.2: online access - machine readability score?
Namibia ranks 138th and Papua New Guinea ranks 135th of 177 countries.
Where does this data come from?
Open Data Watch, published as Dimension 2.2: Online access - Machine Readability 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 - Machine Readability 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 machine readable formats. Machine readable file formats allow users to easily process data using a computer. Common machine readable formats include XLS, XLSX, CSV, and JSON files.