Enforcing contracts: Court automation (0-4) in San Marino
San Marino: Enforcing contracts: Court automation (0-4) was 1.5 DB17-20 methodology in 2019. β¬ Flat
Enforcing contracts: Court automation (0-4) in San Marino, 2015β2019
Source: World Bank. Measured in DB17-20 methodology.
Analysis
In 2019, enforcing contracts: court automation (0-4) in San Marino stood at 1.5 DB17-20 methodology. That is the highest value across all 5 years on record.
The figure is unchanged over five years.
That places San Marino 56th out of 190 countries with data for 2019, putting it in the middle of the range.
Countries ranked near San Marino
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More reference data data for San Marino
- Exchange rate, new LCU per USD extended backward, period average 0.8488 (2026)
- Exchange rate, old LCU per USD extended forward, period average 0.8488 (2026)
- Official exchange rate, LCU per USD, period average 0.8488 (2026)
- Elections legislature lexical 1 (2025)
- Universal suffrage men lexical 1 (2025)
- Consumer price index 131.91 (2025)
- Civil liberties rating fh 1 (2025)
- Universal suffrage lexical 2 (2025)
- Political regime lexical 7 (2025)
- Elections for the governments chief executive 1 (2025)
Frequently asked questions
- What is enforcing contracts: court automation (0-4) in San Marino?
- Enforcing contracts: court automation (0-4) in San Marino was 1.5 DB17-20 methodology in 2019, according to the World Bank.
- What is the highest enforcing contracts: court automation (0-4) recorded in San Marino?
- The highest recorded value was 1.5 DB17-20 methodology in 2015.
- What is the lowest enforcing contracts: court automation (0-4) recorded in San Marino?
- The lowest recorded value was 1.5 DB17-20 methodology in 2015.
- How does San Marino rank for enforcing contracts: court automation (0-4)?
- San Marino ranks 56th out of 190 countries with data for 2019.
- Where does this San Marino 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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CSV Β· JSON β 5 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
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.