Indonesia vs Macao: Dimension 2.2: Online access - Machine Readability Score

Indonesia
0.726
in 2023
Macao
0.702
in 2023
Indonesia rank
73rd
Macao rank
75th

Dimension 2.2: Online access - Machine Readability Score over time

  • Indonesia
  • Macao
00.20.40.60.8201520192023

How they compare

Indonesia currently reports 0.726 against 0.702 in Macao, a difference of 0.024.

The two have swapped places 1 time across 7 shared years of data; in 2017 it was Macao ahead.

Indonesia ranks 73rd and Macao ranks 75th of 177 countries.

Across the 2 decades both report, Indonesia averaged higher in 1 and Macao in 1.

Head to head by decade

Decade Indonesia Macao Difference Ahead
2010s 0.5817 0.615 0.0333 Macao
2020s 0.731 0.6925 0.0385 Indonesia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Indonesia or Macao?
Indonesia, at 0.726 against 0.702 in Macao as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Indonesia and Macao?
0.024, with Indonesia ahead.
How many years of comparable data are there for Indonesia and Macao?
7 years are reported by both, from 2017 to 2023.
How do Indonesia and Macao rank globally for dimension 2.2: online access - machine readability score?
Indonesia ranks 73rd and Macao ranks 75th 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.