Hong Kong vs Peru: Dimension 2.2: Online access - Machine Readability Score

Hong Kong
0.967
in 2023
Peru
0.967
in 2023
Hong Kong rank
13th
Peru rank
13th

Dimension 2.2: Online access - Machine Readability Score over time

  • Hong Kong
  • Peru
0.20.40.60.81201520192023

How they compare

Hong Kong currently reports 0.967 against 0.967 in Peru, a difference of 0.

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

Hong Kong ranks 13th and Peru ranks 13th of 177 countries.

Across the 2 decades both report, Hong Kong averaged higher in 1 and Peru in 1.

Head to head by decade

Decade Hong Kong Peru Difference Ahead
2010s 0.6735 0.8542 0.1807 Peru
2020s 0.942 0.9335 0.0085 Hong Kong

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Hong Kong or Peru?
Hong Kong, at 0.967 against 0.967 in Peru as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Hong Kong and Peru?
0, with Hong Kong ahead.
How many years of comparable data are there for Hong Kong and Peru?
8 years are reported by both, from 2016 to 2023.
How do Hong Kong and Peru rank globally for dimension 2.2: online access - machine readability score?
Hong Kong ranks 13th and Peru ranks 13th 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.