This data article describes a dataset of corruption approach and possible variables related, and this dataset was created by integrating eight different systems of Brazilian federal government and Federal District. We present real data from civil servants and militaries to comply with GDPR legislation, the attributes that could identify a person were removed, making the data anonymized.