emp_exc

Summary

This data catalog provides information on employee and executive demographics within the Korean stock universe, focusing on gender distribution and salary details.

Example code

from finter.data import ContentFactory
cf = ContentFactory("kr_stock", 20200101, 20200201)
df = cf.get_df("exc_tot_woman")

Metadata

Valid From	Delivery Schedule	Time Zone	Data Frequency
	20 18 * * 5

Item List

Executive Data

• exc_tot_woman: Total number of female executives

• exc_tot_man: Total number of male executives

• exc_tot_inside_director: Total number of internal directors

• exc_tot_outside_director: Total number of outside directors

• exc_eq_ceo_chairman: Whether the CEO and the Chairman of the Board are the same person

Employee Data

Female Employees

• emp_woman_fulltime: Number of female regular employees

• emp_woman_parttime: Number of female non-regular employees

• emp_woman_avg_year_of_service: Average tenure of female employees

• emp_woman_tot_year_salary: Total annual salary of female employees

Male Employees

• emp_man_fulltime: Number of male full-time employees

• emp_man_parttime: Number of male non-regular employees

• emp_man_avg_year_of_service: Average tenure of male employees

• emp_man_tot_year_salary: Annual total salary of male employees