Methods: This was a retrospective descriptive study. We abstracted secondary data on socio-demographic, time and clinical factors from the Child Nutrition Service Register for all children aged 6 to 59 months at first enrollment between 2019 and 2023. We determined Child Growth indicators using the WHO Child Growth Standards tables. We defined undernutrition as mid-upper arm circumference (MUAC) ˂12.5cm or any growth indicator ˂-2 standard deviations (SD) from the median of reference population. We cleaned and analysed the data with Microsoft Excel using frequencies and proportions for categorical variables, and mean with standard deviation or median with interquartile range (IQR) for continuous variables. We conducted DQA to assess completeness using a standard CDC tool.