This dataset provides a comprehensive collection of maternal health data, focusing on key health indicators throughout pregnancy. It includes essential details such as the mother’s age, gravida (number of pregnancies), weight, height, blood pressure, gestational age, and fetal health status. In addition to these primary metrics, the dataset captures important medical test results, including anemia, blood sugar levels, and fetal heart rate, providing a thorough overview of both maternal and fetal well-being. The dataset categorizes pregnancies into high-risk and non-high-risk based on various factors such as abnormal blood pressure readings, test results, and fetal health conditions. This classification can be vital for prenatal care and early risk detection, facilitating interventions for at-risk pregnancies. Collected manually from healthcare records, the dataset ensures data accuracy and reliability. Each entry has been anonymized to protect patient privacy and guarantee ethical standards. This dataset serves as an invaluable resource for research in maternal health, predictive analytics, and pregnancy outcome studies. It can be used for developing models to assess pregnancy risks, guide healthcare interventions, and improve prenatal care strategies globally. Researchers, healthcare professionals, and data scientists can leverage this dataset to gain deeper insights into pregnancy-related health trends and explore potential factors influencing maternal and fetal health outcomes.