South Korea vs New Zealand: Dimension 2.2: Online access - Machine Readability Score

South Korea
0.936
in 2023
New Zealand
0.933
in 2023
South Korea rank
25th
New Zealand rank
26th

Dimension 2.2: Online access - Machine Readability Score over time

  • South Korea
  • New Zealand
00.20.40.60.81201620192023

How they compare

South Korea currently reports 0.936 against 0.933 in New Zealand, a difference of 0.003.

The two have swapped places 3 times across 8 shared years of data; in 2016 it was New Zealand ahead.

South Korea ranks 25th and New Zealand ranks 26th of 177 countries.

Across the 2 decades both report, South Korea averaged higher in 1 and New Zealand in 1.

Head to head by decade

Decade South Korea New Zealand Difference Ahead
2010s 0.8785 0.8203 0.0583 South Korea
2020s 0.9095 0.925 0.0155 New Zealand

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, South Korea or New Zealand?
South Korea, at 0.936 against 0.933 in New Zealand as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between South Korea and New Zealand?
0.003, with South Korea ahead.
How many years of comparable data are there for South Korea and New Zealand?
8 years are reported by both, from 2016 to 2023.
How do South Korea and New Zealand rank globally for dimension 2.2: online access - machine readability score?
South Korea ranks 25th and New Zealand ranks 26th 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.