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ČR 2030 - List Of Indicators
Average Length Of Court Proceedings
Indicator detail
27.3.1 Average length of court proceedings
Metadata
| Relevance/rationale of the indicator (resp. why the indicator was chosen to measure the target and how it is suitable for these purposes) | Long-term efficiency of governance: The indicator is an indicator of the stabilization and performance of the judicial system. It tells not only about the length of court proceedings and the efficiency of the judiciary from the point of view of citizens, but also indirectly about the level of organization of the work of the courts. The additional indicator monitors how the average length of proceedings in individual courts differs from each other and how it differs from the average. The smaller the value of the standard deviation, the smaller the differences in the length of proceedings in individual courts. |
| Target value of the indicator and its evaluation | |
| Definition | The indicator affects the civil agenda (C) in district and regional courts. The development of the length of court proceedings in other agendas is similar, therefore the civil agenda was chosen as a representative of all other court agendas. The length of court proceedings is defined as the number of days from the date of the idea of the case to the date of the legal force of the decision. The indicator is calculated as the average length of all civil proceedings, which the district and regional courts will finalize in the given reported year. |
| Measuring unit | Number of days |
| Indicator disaggregation | By average length of proceedings (days) and standard deviation |
| Reference period (resp. the period to which the indicator relates) | Year |
| Related geographical area | CZ (NUTS 0) |
| Comment | 1995 The very low standard deviation is more due to statistics (this year is the first time that data has been processed by computers). 1996–1999 Society-wide change manifests itself here, which resulted in the introduction of new types of disputes (restitution, rehabilitation) and the growth of the idea. Growth is not uniform across courts. Some courts are doing better, others worse. There are also major personnel changes (departures of judges). As a result, this can also result in a standard deviation. 2000–2004 The culmination of the above. In reality, the situation is gradually improving. However, the length of proceedings is increasing because they reflect problematic courts and the remnants of pending cases from the 1990s. 2005–2009 The situation is gradually stabilizing. The number of judges and other staff is increasing. The judiciary is improving. 2010–2012 The impact of the introduction of the electronic payment order (EPR) is evident here, and the economic crisis has probably also had an impact. The share of trivial disputes increased, which led to a decrease in the length of proceedings in all courts (including the slowest ones). Thus, the standard deviation was also reduced. The EWC itself is not included here, the above conclusions apply to items that have been transferred from the EWC after the opposition has been lodged or the EWC has been revoked. 2013 The effect described above (introduction of EPR) has disappeared and the economic situation has improved. 2014–2017 At OS, the situation is improving (the length of proceedings is decreasing and the differences between courts are also decreasing). On the other hand, the length of proceedings at KS is increasing. This leads to an increase in the standard deviation. 2018–2019 The length of proceedings and differences between courts continue to decline. 2020 Year was effecting by the pandemic of COVID-19 and thus there was a small increase in the length of proceedings. However, the differences between courts decreased slightly. 2021 The length of proceedings basically returned to the level of 2019. |
| Update periodicity | Annually |
| Time coverage since | 1995 |
| Time coverage until | 2021 |
| Time series available at the data provider since | 1995 |
| Data publication date (resp. the date when the data provider publishes (regularly) data; it is given in the format T + the number of days, months or years when T is the end of the reference period) | T+2m |
| Contact point - data provider - e-mail | VJonas@msp.justice.cz |
| Contact point - data provider - name | Václav Jonáš |
| Data provider | Ministry of Justice of the Czech Republic |
| Data source | Data are form Statistical sheets of Ministry of Justice. The data in this docoument are calculated by hand and are not available in this exact format. However, more data is available at: https://cslav.justice.cz/InfoData/prehledy-statistickych-listu.html |
| Links to detailed metadata or methodology | More information about data of the Ministry of Justice could be found here: https://www.justice.cz/web/msp/statisticke-udaje-z-oblasti-justice. The information are general, there is not specific info about calculation used here. |
| Links to international comparison |