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Sources: Court News, 2006, Supreme Court of India; National Data Judicial Grid accessed on August 7, 2019; PRS.
Overall, the pendency of cases has increased significantly at every level of the judicial hierarchy in the last decade. Between 2006 and now, there has been an overall increase of 22% (64 lakh cases) in the pendency of cases across all courts. As of August 2019, there are over 3.5 crore cases pending across the Supreme Court, the High Courts, and the subordinate courts. Of these, subordinate courts account for over 87.3% pendency of cases, followed by 12.5% pendency before the 24 High Courts. The remaining 0.2% of cases are pending with the Supreme Court. The primary reason for growing pendency of cases is that the number of new cases filed every year has outpaced the number of disposed of cases. This has resulted in a growing backlog of cases.
In High Courts and subordinate courts, over 32 lakh cases pending for over 10 years
Sources: National Data Judicial Grid accessed on August 7, 2019; Court News, 2006-17, Supreme Court of India; PRS.
In the High Courts, over 8.3 lakh cases have been pending for over 10 years. This constitutes 19% of all pending High Court cases. Similarly, in the subordinate courts, over 24 lakh cases (8%) have been pending for over 10 years. Overall, Allahabad High Court had the highest pendency, with over seven lakh cases pending as of 2017.
Despite high pendency, some High Courts have managed to reduce their backlog. Between 2006 and 2017, pendency of cases reduced the most in Madras High Court at a rate of 26%, followed by Bombay High Court at 24%. Conversely, during the same period, the pendency of cases doubled in the Andhra Pradesh High Court, and increased by 2.5 times in Karnataka High Court.
As a result of pendency, number of under-trials in prison is more than double that of convicts
Sources: Prison Statistics in India, 2015, National Crime Record Bureau; PRS.
Over the years, as a result of growing pendency of cases for long periods, the number of undertrials (accused awaiting trial) in prisons has increased. Prisons are running at an over-capacity of 114%. As of 2015, there were over four lakh prisoners in jails. Of these, two-thirds were undertrials (2.8 lakh) and the remaining one-third were convicts.
The highest proportion of undertrials (where the number of inmates was at least over 1,000) were in J&K (85%), followed by Bihar (82%). A total of 3,599 undertrials were detained in jails for more than five years. Uttar Pradesh had the highest number of such undertrials (1,364) followed by West Bengal (294).
One interesting factor to note is that more criminal cases are filed in subordinate courts than in High Courts and Supreme Court. Of the cases pending in the subordinate courts (which constitute 87% of all pending cases), 70% of cases were related to criminal matters. This increase in the pendency of cases for long periods over the years may have directly resulted in an increase in the number of undertrials in prisons. In a statement last year, the Chief Justice of India commented that the accused in criminal cases are getting heard after serving out their sentence.
Vacancies in High Courts and Subordinate Courts affect the disposal of cases
Sources: Court News, 2006-17, Supreme Court of India; PRS.
Vacancy of judges across courts in India has affected the functioning of the judiciary, particularly in relation to the disposal of cases. Between 2006 and 2017, the number of vacancies in the High Courts has increased from 16% to 37%, and in the subordinate courts from 19% to 25%. As of 2017, High Courts have 403 vacancies against a sanctioned strength of 1,079 judges, and subordinate courts have 5,676 vacancies against a sanctioned strength of 22,704 judges. As of 2017, among the major High Courts (with sanctioned strength over 10 judges), the highest proportion of vacancies was in Karnataka High Court at 60% (37 vacancies), followed by Calcutta High Court at 54% (39 vacancies). Similarly, in major subordinate courts (with sanctioned strength over 100 judges), the highest proportion of vacancies was in Bihar High Court at 46% (835 vacancies), followed by Uttar Pradesh High Court at 42% (1,348 vacancies).
Recently, the Supreme Court collegium reiterated its recommendations for the appointment of 11 judges to certain High Courts. It had first recommended these names earlier this year and in August last year, but these appointments were not made. The Indian judiciary faces high vacancies across all levels (the Supreme Court, High Courts, and subordinate courts). Vacancy of judges in courts is one of the reasons for delays and a rising number of pending cases, as there are not enough judges to hear and decide cases. As of today, more than four crore cases are pending across all courts in India. In this blog post, we discuss vacancies across courts over the years, delays in appointment of judges, and methods to determine the adequate judge strength required to handle the caseload courts face.
High vacancy of judges across courts
Vacancies in courts keep on arising periodically due to retirement, resignation, demise, or elevation of judges. Over the years, the sanctioned strength of judges in both High Courts and subordinate courts has been increased gradually. However, vacancies persist due to insufficient appointments (see Figures 1 and 2). Between 2010 and 2020, vacancies increased from 18% to 21% across all levels of courts (from 6% to 12% in the Supreme Court, from 33% to 38% in High Courts, and from 18% to 20% in subordinate courts).
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Figure 1: Vacancy of judges in High Courts |
Figure 2: Vacancy of judges in subordinate courts |
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Sources: Court News 2010-2018; Vacancy Statement, and Rajya Sabha replies, Part I, Budget Session (2021), Department of Justice; PRS. |
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As on November 1, 2021, the Supreme Court had a vacancy of one judge (out of a sanctioned strength of 34). Vacancy in High Courts stood at 37% (406 posts vacant out of a sanctioned strength of 1,098). Since May, 2021, the Supreme Court collegium has recommended more than 130 names for appointment as High Court judges. In three High Courts (Telangana, Patna, and Calcutta), at least half of the posts are vacant (see Figure 3). The Standing Committee on Personnel, Public Grievances, Law and Justice (2020) noted that every year, 35-40% of posts of High Court judges remain unfilled.
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Figure 3: Vacancy of judges across High Courts (in %) (as on November 1, 2021)
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Source: Vacancy Statement, Department of Justice; PRS. |
Appointments of High Court judges are guided by a memorandum of procedure. As per this memorandum, the appointment process is to be initiated by the concerned High Court at least six months before a vacancy occurs. However, the Standing Committee (2021) noted that this timeline is rarely adhered to by High Courts. Further, in the final stage of the process, after receiving recommendations from the Supreme Court collegium, the executive appoints judges to the High Court. No timeline is prescribed for this stage of the appointment process. In 2018 and 2019, the average time taken to appoint High Court judges after receiving the collegium’s recommendations was five to seven months.
As of today, over 3.6 crore cases are pending before subordinate courts in India. As on February 20, 2020, 21% posts for judges were vacant (5,146 posts out of the sanctioned strength of 24,018) in subordinate courts. Subordinate courts in Bihar, Haryana, and Jharkhand (among the states with high population) had a high proportion of vacancies of judges (see Figure 4). Note that the Supreme Court is monitoring the procedure for appointment of judges to subordinate courts.
For an analysis of the data on pendency and vacancies in the Indian judiciary, see here.
Figure 4: Vacancy of judges across subordinate courts (in %) (as on February 20, 2020)
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Source: Report No. 101, Standing Committee on Personnel, Public Grievances, Law and Justice (2020); PRS. |
How many judges do we need?
The Law Commission of India (1987) had noted the importance of manpower planning for the judiciary. Lack of adequate number of judges means a greater workload per judge. Thus, it becomes essential to arrive at an optimal judge strength to deal with pending and new cases in courts. Over the years, different methods of calculating the required judge strength for subordinate courts (where the backlog of cases in the Indian judiciary is concentrated) have been recommended (see Table 1).
Table 1: Methods recommended for calculating the required number of judges for subordinate courts
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Method of calculation |
Recommendation and its status |
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Judge-to-population ratio: optimum number of judges per million population |
The Law Commission of India (1987) had recommended increasing this ratio to 50 judges per million people. This was reiterated by the Supreme Court (2001) and the Standing Committee on Home Affairs (2002). For 2020, the judge-to-population ratio was 21 judges per million population. Note that this figure is calculated based on the sanctioned strength of judges in the Supreme Court, High Courts and subordinate courts. |
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Rate of disposal: number of additional judges required (to clear the existing backlog of cases and ensure that new backlog is not created) based on the average number of cases disposed per judge |
The Law Commission of India (2014) proposed this method. It rejected the judge-to-population ratio method, observing that filing of cases per capita varies substantially across geographic units depending on socio-economic conditions. |
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Weighted case load method: calculating judge strength based on the disposal by judges, taking into account the nature and complexity of cases in local conditions |
The National Court Management Systems Committee (NCMS) (2016) critiqued the rate of disposal method. It proposed, as an interim measure, the weighted case load method, which addresses the existing backlog of cases as well as the new flow of cases every year in subordinate courts. In 2017, the Supreme Court accepted this model. |
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Time-based weighted case load method: calculating the required judge strength taking into account the actual time spent by judges in different types of cases at varying stages based on an empirical study |
Used widely in the United States, this was the long-term method recommended by the NCMS (2016) to assess the required judge strength for subordinate courts. It involves determining the total number of ‘judicial hours’ required for disposing of the case load of each court. The Delhi High Court used this approach in a pilot project (January 2017- December 2018) to calculate the ideal judge strength for disposing of pending cases in certain courts in Delhi. |
Sources: Reports No. 120 (1987) and 245 (2014), Law Commission of India; Report No. 85, Standing Committee on Home Affairs (2002); Note for Calculating Required Judge Strength for Subordinate Courts, National Court Management Systems Committee (NCMS) (2016); Imtiyaz Ahmad vs. State of Uttar Pradesh, Supreme Court (2017); PRS.
