Rankings Methodology
Rankings Methodology
Andhra Pradesh Bihar Chhattisgarh Gujarat Haryana Jharkhand Karnataka Kerala Madhya Pradesh Maharashtra Odisha Punjab Rajasthan Tamil Nadu Telangana Uttar Pradesh Uttarakhand West Bengal
Arunachal Pradesh Goa Himachal Pradesh Meghalaya Mizoram Sikkim Tripura
Andaman & Nicobar Islands Chandigarh Dadra & Nagar Haveli Dadra & Nagar Haveli and Daman & Diu Daman & Diu Delhi Jammu & Kashmir Ladakh Lakshadweep Puducherry
Assam Manipur Nagaland
Per capita spend on judiciary
Population per High Court judge Population per sub. court judge High Court judge vacancy Sub. court judge vacancy High Court staff vacancy
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)
Courthall shortfall
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)
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, across all 3 IJRs. 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. The table shows the indicator value as well as the raw data used to calculate it. Use the sort feature to sort any column in ascending or descending order. Use the filter feature in the first two columns to compare states or see results for only one IJR. 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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Police Prisons Judiciary Legal Aid

Indicates the avg. number of years a case remains pending
Map Table
Best
Worst

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.

Click icons in the column headers to quickly sort and filter rows.

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