Malta vs Mauritania: Enforcing contracts: Court automation (0-4)

Malta
1 DB17-20 methodology
in 2019
Mauritania
1 DB17-20 methodology
in 2019
Malta rank
71st
Mauritania rank
71st

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

  • Malta
  • Mauritania
00.20.40.60.81201520172019

How they compare

Malta currently reports 1 DB17-20 methodology against 1 DB17-20 methodology in Mauritania, a difference of 0 DB17-20 methodology.

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

Malta ranks 71st and Mauritania ranks 71st of 188 countries.

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

Frequently asked questions

Which has higher enforcing contracts: court automation (0-4), Malta or Mauritania?
Malta, at 1 DB17-20 methodology against 1 DB17-20 methodology in Mauritania as of 2019.
What is the difference in enforcing contracts: court automation (0-4) between Malta and Mauritania?
0 DB17-20 methodology, with Malta ahead.
How many years of comparable data are there for Malta and Mauritania?
5 years are reported by both, from 2015 to 2019.
How do Malta and Mauritania rank globally for enforcing contracts: court automation (0-4)?
Malta ranks 71st and Mauritania ranks 71st 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.