Bangladesh vs Malawi: Dimension 2.2: Online access - Machine Readability Score

Bangladesh
0.05
in 2023
Malawi
0.057
in 2023
Bangladesh rank
160th
Malawi rank
159th

Dimension 2.2: Online access - Machine Readability Score over time

  • Bangladesh
  • Malawi
00.20.40.6201520192023

How they compare

Malawi currently reports 0.057 against 0.05 in Bangladesh, a difference of 0.007.

That makes Malawi's figure about 1.1 times Bangladesh's.

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

Bangladesh ranks 160th and Malawi ranks 159th of 177 countries.

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

Head to head by decade

Decade Bangladesh Malawi Difference Ahead
2010s 0.0844 0.2864 0.202 Malawi
2020s 0.025 0.082 0.057 Malawi

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Bangladesh or Malawi?
Malawi, at 0.057 against 0.05 in Bangladesh as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Bangladesh and Malawi?
0.007, with Malawi ahead.
How many years of comparable data are there for Bangladesh and Malawi?
9 years are reported by both, from 2015 to 2023.
How do Bangladesh and Malawi rank globally for dimension 2.2: online access - machine readability score?
Bangladesh ranks 160th and Malawi ranks 159th 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.