Dominican Republic vs Georgia: Dimension 2.2: Online access - Machine Readability Score

Dominican Republic
0.819
in 2023
Georgia
0.833
in 2023
Dominican Republic rank
57th
Georgia rank
56th

Dimension 2.2: Online access - Machine Readability Score over time

  • Dominican Republic
  • Georgia
00.20.40.60.81201520192023

How they compare

Georgia currently reports 0.833 against 0.819 in Dominican Republic, a difference of 0.014.

The two have swapped places 4 times across 9 shared years of data; in 2015 it was Georgia ahead.

Dominican Republic ranks 57th and Georgia ranks 56th of 177 countries.

Across the 2 decades both report, Dominican Republic averaged higher in 1 and Georgia in 1.

Head to head by decade

Decade Dominican Republic Georgia Difference Ahead
2010s 0.7752 0.784 0.0088 Georgia
2020s 0.876 0.8 0.076 Dominican Republic

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.2: online access - machine readability score, Dominican Republic or Georgia?
Georgia, at 0.833 against 0.819 in Dominican Republic as of 2023.
What is the difference in dimension 2.2: online access - machine readability score between Dominican Republic and Georgia?
0.014, with Georgia ahead.
How many years of comparable data are there for Dominican Republic and Georgia?
9 years are reported by both, from 2015 to 2023.
How do Dominican Republic and Georgia rank globally for dimension 2.2: online access - machine readability score?
Dominican Republic ranks 57th and Georgia ranks 56th 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.