DDL-justice-all-cases-metadata


1	Field	Description
2	Data Producer	E-courts Services India
3	Reference URL	https://districts.ecourts.gov.in/
4	Type	Online case management portal
5	Abstract	Records of ~80 million legal cases that were filed between the years 2010-2018, spanning more than 7000 district courts and subordinate courts of India. The datasets are available by year in the form: cases_[year].csv/cases_[year].dta
6	Kind of Data	Administrative data
7	Unit of analysis	Case-level observations
8	Time Period(s)	2010-2018
9	Weighting	Not applicable
10	Data Files	cases_[year].dta
11	Build Files	b/clean_cases.do


1	#	File	Variable name	Label	Type	Format	Group	Definition	Encoding
2	1	cases_[year].dta	ddl_case_id	Case ID - generated by DDL	string	%24s	Unique ID	This ID can be used to link with acts_sections.dta & judges_clean.dta
3	2	cases_[year].dta	year	Case dataset year	int	%9.0g	Dataset characteristic	This is the filing year of almost all cases in this dataset
4	3	cases_[year].dta	state_code	State code - E-courts, name in state key	str	%9s	Geographic identifier	E-courts identifier - link with cases_state_key on state_code, year to get state_name
5	4	cases_[year].dta	dist_code	District code - E-courts, name in district key	str	%9s	Geographic identifier	E-courts identifier - link with cases_district_key on state_code, district_code, year to get district_name
6	5	cases_[year].dta	court_no	Court number - E-courts, name in court key	str	%9s	Geographic identifier	E-courts identifier - link with cases_court_key on state_code, district_code, court_no, year to get court_name
7	6	cases_[year].dta	cino	Unique CRN number - use this to link to E-courts	str	%15s	Case identifier	E-courts unique 16 digit case number: this ID can be used to view case details on E-courts
8	7	cases_[year].dta	judge_position	Judge position	string	%53s	Case type	Cleaned judge designation
9	8	cases_[year].dta	female_defendant	Defendant gender	int	%18.0g	Case characteristic	Defendant gender classified using a neural network	-9999 = missing name, -9998 = name unclear, 0 = male, 1 = female
10	9	cases_[year].dta	female_adv_def	Defendant advocate gender	int	%9.0g	Case characteristic	Defendant advocate gender classified using a neural network	-9999 = missing name, -9998 = name unclear, 0 = male, 1 = female
11	10	cases_[year].dta	female_adv_pet	Petitioner advocate gender	int	%9.0g	Case characteristic	Petitioner advocate gender classified using a neural network	-9999 = missing name, -9998 = name unclear, 0 = male, 1 = female
12	11	cases_[year].dta	type_name	Case type ID	int	%9.0g	Case characteristic	Case type - link with type_name_key using type_name, year to get string value
13	12	cases_[year].dta	purpose_name	Case purpose ID	int	%9.0g	Case characteristic	Case purpose - link with purpose_name_key using purpose_name, year to get string value
14	13	cases_[year].dta	disp_name	Disposition ID	byte	%9.0g	Case characteristic	Case disposition - link with disp_name_key using disp_name, year to get string value
15	14	cases_[year].dta	date_of_filing	Filing date	string	%10s	Date	Date when the case was filed
16	15	cases_[year].dta	date_of_decision	Decision date	string	%10s	Date	Date when the case reached a decision
17	16	cases_[year].dta	date_first_list	First hearing date	string	%10s	Date	Date when the case was first heard in court
18	17	cases_[year].dta	date_last_list	Most recent hearing date	string	%10s	Date	Date of most recent hearing
19	18	cases_[year].dta	date_next_list	Next hearing date	string	%12s	Date	Date of next scheduled hearing