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Gender representation in job recruiting has been a topic of interest for many years. Despite progress made, gender bias still exists in the recruitment process. This research aims (1) to investigate the extent of gender bias in job recruiting in Mexico’s Federal Government and (2) to explore the drivers of gender gap. In doing so, this research relies on administrative data covering 203 Mexican federal agencies from the 2000-2020 period. The data include information about the agency, number of employees, and job rank (blue collar, middle-level, and top-level managers). The data will be analyzed using descriptive statistics and inferential statistics to understand the current state of gender representation in job recruiting and identify any patterns or trends across time, agency type, job rank, and job function. The analysis will also include comparisons of employees’ demographics across the 203 federal agencies as well as comparisons of job candidates’ demographics. This research will provide insights into the current state of gender representation as well as the drivers of gender representation in an understudied setting whose meritocratic system was implemented only 20 years ago.