Ecuador vs Netherlands: Dimension 2.2: Online access - Machine Readability Score

Ecuador
0.933
in 2023
Netherlands
0.933
in 2023
Ecuador rank
26th
Netherlands rank
26th

Dimension 2.2: Online access - Machine Readability Score over time

  • Ecuador
  • Netherlands
00.20.40.60.81201520192023

How they compare

Ecuador currently reports 0.933 against 0.933 in Netherlands, a difference of 0.

The two have swapped places 2 times across 8 shared years of data; in 2016 it was Netherlands ahead.

Ecuador ranks 26th and Netherlands ranks 26th of 177 countries.

Across the 2 decades both report, Ecuador averaged higher in 1 and Netherlands in 1.

Head to head by decade

Decade Ecuador Netherlands Difference Ahead
2010s 0.7655 0.9625 0.197 Netherlands
2020s 0.958 0.933 0.025 Ecuador

Averages of every year both report within each decade.

Frequently asked questions

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