Georgia vs Spain: Enforcing contracts: Court automation (0-4)

Georgia
2.5 DB17-20 methodology
in 2019
Spain
2.5 DB17-20 methodology
in 2019
Georgia rank
25th
Spain rank
25th

Enforcing contracts: Court automation (0-4) over time

  • Georgia
  • Spain
00.511.522.5201520172019

How they compare

Georgia currently reports 2.5 DB17-20 methodology against 2.5 DB17-20 methodology in Spain, a difference of 0 DB17-20 methodology.

The two have swapped places 1 time across 5 shared years of data; in 2015 it was Georgia ahead.

Georgia ranks 25th and Spain ranks 25th of 188 countries.

Georgia has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher enforcing contracts: court automation (0-4), Georgia or Spain?
Georgia, at 2.5 DB17-20 methodology against 2.5 DB17-20 methodology in Spain as of 2019.
What is the difference in enforcing contracts: court automation (0-4) between Georgia and Spain?
0 DB17-20 methodology, with Georgia ahead.
How many years of comparable data are there for Georgia and Spain?
5 years are reported by both, from 2015 to 2019.
How do Georgia and Spain rank globally for enforcing contracts: court automation (0-4)?
Georgia ranks 25th and Spain ranks 25th of 188 countries.
Where does this data come from?
The World Bank, published as Enforcing contracts: Court automation (0-4) (DB17-20 methodology). Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Enforcing contracts: Court automation (0-4) (DB17-20 methodology)
Unit
DB17-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
190 places, 950 data points, 2015–2019
Last refreshed

The court automation evaluates four aspects: (i) whether the initial complaint can be filed electronically; (ii) whether the initial complaint can be served electronically; (iii) whether court fees can be paid electronically; and (iv) whether judgments rendered in commercial matters are made available to the public. The index is computed based on the methodology in the DB17-20 studies.