Bosnia and Herzegovina vs Lesotho: Dimension 2.2: Online access - Machine Readability Score

Bosnia and Herzegovina
0.31
in 2023
Lesotho
0.317
in 2023
Bosnia and Herzegovina rank
125th
Lesotho rank
122nd

Dimension 2.2: Online access - Machine Readability Score over time

  • Bosnia and Herzegovina
  • Lesotho
00.10.20.30.40.5201520192023

How they compare

Lesotho currently reports 0.317 against 0.31 in Bosnia and Herzegovina, a difference of 0.007.

Across all 9 years both countries report, Lesotho has been ahead every year.

Bosnia and Herzegovina ranks 125th and Lesotho ranks 122nd of 177 countries.

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

Head to head by decade

Decade Bosnia and Herzegovina Lesotho Difference Ahead
2010s 0.059 0.2298 0.1708 Lesotho
2020s 0.2765 0.386 0.1095 Lesotho

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Bosnia and Herzegovina or Lesotho?
Lesotho, at 0.317 against 0.31 in Bosnia and Herzegovina as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Bosnia and Herzegovina and Lesotho?
0.007, with Lesotho ahead.
How many years of comparable data are there for Bosnia and Herzegovina and Lesotho?
9 years are reported by both, from 2015 to 2023.
How do Bosnia and Herzegovina and Lesotho rank globally for dimension 2.2: online access - machine readability score?
Bosnia and Herzegovina ranks 125th and Lesotho ranks 122nd 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.