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Social drivers of health significantly influence diabetes and hypertension outcomes. By taking into account patients' social and economic circumstances, healthcare systems can enhance both the quality and efficiency of care delivery, leading to improved health outcomes. This study aims to assess the concordance between patient-level social drivers data gathered from a patient-reported, health-related social needs survey and the data documented in electronic health records. A comparative analysis was conducted among 165 adults diagnosed with coexisting hypertension and uncontrolled diabetes from a singular academic health system. Each participant engaged in a standardized assessment of health-related social needs survey, and the corresponding electronic health record-based social drivers of health data were extracted. Concordance at the patient level for social drivers of health was assessed using Cohen's Kappa and percent agreement. Overall, agreement between the patient-reported social needs survey and electronic health records data was low, indicating only slight alignment across various social drivers of health domains. These findings suggest that relying solely on electronic health records data may underestimate the true prevalence of patient-reported social needs in this high-risk cohort with diabetes and hypertension. To ensure high-quality care delivery, there is a critical need for healthcare systems to develop more effective and sustainable methods for capturing social drivers of health data.