Urban planning often suffers from signifi cant data biases, particularly towards social roles like gender. These biases lead to designs that neglect the needs of various demographic groups. There is a pressing need to address the invisible impact of gender data gaps, which results in discriminatory practices and hostile designs in public spaces, impacting accessibility and safety. To tackle gender-biased data gaps in urban planning, this unit proposes creating a checklist to identify and rectify these issues from data collection through analysis. By focusing on under- standing who benefi ts from urban designs and who is excluded, the methodology aims to improve inclusivity and democratization in urban environments. This MLU assists in identifying data gaps, raises awareness of data gaps in an LDT project, and provides a checklist for identifying biases. Resources such as the IDEO ethics cards support critical examination of data sets, emphasizing inclusivity in urban planning and beyond.