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Enforcing contracts: Court automation (0-4) in Marshall Islands

Marshall Islands: Enforcing contracts: Court automation (0-4) was 0.5 DB17-20 methodology in 2019. ▬ Flat

Latest (2019)
0.5 DB17-20 methodology
Change on year
unchanged
World rank
90th
of 188 countries
All-time high
0.5 DB17-20 methodology
in 2015
All-time low
0.5 DB17-20 methodology
in 2015
Years of data
5
2015–2019

Enforcing contracts: Court automation (0-4) in Marshall Islands, 2015–2019

00.10.20.30.40.52015201720192015: 0.5 DB17-20 methodology2016: 0.5 DB17-20 methodology2017: 0.5 DB17-20 methodology2018: 0.5 DB17-20 methodology2019: 0.5 DB17-20 methodology

Source: World Bank. Measured in DB17-20 methodology.

Analysis

The most recent figure for enforcing contracts: court automation (0-4) in Marshall Islands is 0.5 DB17-20 methodology, measured in 2019. That is the highest value across all 5 years on record.

Compared with earlier readings it is unchanged over five years.

That places Marshall Islands 90th out of 188 countries with data for 2019, putting it in the middle of the range.

Countries ranked near Marshall Islands

  1. 89 Indonesia 0.61 DB17-20 methodology compare
  2. 90 Bangladesh 0.5 DB17-20 methodology compare
  3. 90 Pakistan 0.5 DB17-20 methodology compare
  4. 90 Mexico 0.5 DB17-20 methodology compare
  5. 90 Bahamas 0.5 DB17-20 methodology compare
  6. 90 Barbados 0.5 DB17-20 methodology compare
  7. 90 Costa Rica 0.5 DB17-20 methodology compare
  8. 90 El Salvador 0.5 DB17-20 methodology compare
  9. 90 Eswatini 0.5 DB17-20 methodology compare
  10. 90 Fiji 0.5 DB17-20 methodology compare
  11. 90 Guatemala 0.5 DB17-20 methodology compare
  12. 90 Ireland 0.5 DB17-20 methodology compare
  13. 90 Jamaica 0.5 DB17-20 methodology compare
  14. 90 Kenya 0.5 DB17-20 methodology compare
  15. 90 Kiribati 0.5 DB17-20 methodology compare
  16. 90 Lesotho 0.5 DB17-20 methodology compare
  17. 90 Luxembourg 0.5 DB17-20 methodology compare
  18. 90 Micronesia (country) 0.5 DB17-20 methodology compare
  19. 90 Samoa 0.5 DB17-20 methodology compare
  20. 90 Seychelles 0.5 DB17-20 methodology compare
  21. 90 South Africa 0.5 DB17-20 methodology compare
  22. 90 Sri Lanka 0.5 DB17-20 methodology compare
  23. 90 Tonga 0.5 DB17-20 methodology compare
  24. 90 Trinidad and Tobago 0.5 DB17-20 methodology compare
  25. 90 Uganda 0.5 DB17-20 methodology compare
  26. 90 Vanuatu 0.5 DB17-20 methodology compare
  27. 90 Zambia 0.5 DB17-20 methodology compare
  28. 90 Zimbabwe 0.5 DB17-20 methodology compare

See the full ranking of 190 places →

More reference data data for Marshall Islands

All data for Marshall Islands →

Frequently asked questions

What is enforcing contracts: court automation (0-4) in Marshall Islands?
Enforcing contracts: court automation (0-4) in Marshall Islands was 0.5 DB17-20 methodology in 2019, according to the World Bank.
What is the highest enforcing contracts: court automation (0-4) recorded in Marshall Islands?
The highest recorded value was 0.5 DB17-20 methodology in 2015.
What is the lowest enforcing contracts: court automation (0-4) recorded in Marshall Islands?
The lowest recorded value was 0.5 DB17-20 methodology in 2015.
How does Marshall Islands rank for enforcing contracts: court automation (0-4)?
Marshall Islands ranks 90th out of 188 countries with data for 2019.
Where does this Marshall Islands data come from?
The figures come from the World Bank, published as part of Enforcing contracts: Court automation (0-4) (DB17-20 methodology). Statizoid updates them automatically from the source API.

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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.