Average sub. court pendency | India Justice Report

Rankings Methodology

Large and mid-sized states Andhra Pradesh Bihar Chhattisgarh Gujarat Haryana Jharkhand Karnataka Kerala Madhya Pradesh Maharashtra Odisha Punjab Rajasthan Tamil Nadu Telangana Uttar Pradesh Uttarakhand West Bengal

Small states Arunachal Pradesh Goa Himachal Pradesh Meghalaya Mizoram Sikkim Tripura

Union Territories Andaman & Nicobar Islands Chandigarh Dadra & Nagar Haveli Dadra & Nagar Haveli and Daman & Diu Daman & Diu Delhi Jammu & Kashmir Ladakh Lakshadweep Puducherry

Unranked states Assam Manipur Nagaland

Judiciary

Budgets Per capita spend on judiciary

Human Resources Population per High Court judge Population per sub. court judge High Court judge vacancy Sub. court judge vacancy High Court staff vacancy

Diversity Women judges (High Court) Women judges (sub. court) SC judges, actual to reserved (sub. court) ST judges, actual to reserved (sub. court) OBC judges, actual to reserved (sub. court)

Infrastructure Courthall shortfall

Workload Cases pending (5-10 years) (sub. court) Cases pending (10+ years) (sub. court) Average High Court pendency Average sub. court pendency Case clearance rate (High Court) Case clearance rate (sub. court) Cases pending (5-10 years) (High Court) Cases pending (10+ years) (High Court)

Trends Cases pending (per High Court judge), trends Cases pending (per sub. court judge), trends Total cases pending (High Court), trends Total cases pending (sub. court), trends Judge vacancy (High Court), trends Judge vacancy (sub. court), trends Case clearance rate (High Court), trends Case clearance rate (sub. court), trends Difference in spend: judiciary vs state, trends

State Ranking

State Indicator Data

State Indicator Raw Data

Methodology

This page shows data for all IJR indicators, organized by pillar and theme. The visualisation below shows how the cluster of 18 large and mid-sized states fare on the chosen indicator. States ranked 1-6 for the indicator are shown in blue, those ranked 7-12 in light green and those ranked 13-18 in light brown. Mouseover on the map to see a state’s exact values for the indicator and the raw data used to calculate the indicator. To know more about the indicator, click on the ‘i’ button next to the indicator name. Use the side bar and indicator dropdown to navigate to other indicators across pillars and themes.

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Pillar: Judiciary

Theme: Workload

IJRs: 1, 3

Formula:

For each pending case in subordinate courts

(Date on which data was scraped – Date of case filed) = Case pending for X days

Xn = Sum of X days for each case pending in a state

n = total pending cases

Average pendency in subordinate courts (years) = (X1+X2+X3+……+Xn) / n *100

Benchmark: Not available

Scoring guide: Lower, the better

Latest period/date: June 2018 to September 2020

Latest data source: eCourt India Services; DAKSH Database. The DAKSH database is based on data collected from eCourts for a sample set of districts across India

Notes:

IJR 1: 1. Data not available for Arunachal Pradesh, Chandigarh, Lakshadweep.

IJR 2: 1. Data not available for Arunachal Pradesh, Andaman & Nicobar Islands, Dadra & Nagar Haveli, Daman & Diu, Lakshadweep Puducherry.

Rank	State	Score (out of 10)

Best

Worst

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