Objective: Adequate glycemic control in children with type 1 diabetes reduces the risk of future complications. Identifying factorsaffecting haemoglobin A1c (HbA1c) is crucial to management of metabolic control. We aimed to identify possible socioeconomicpredictors of poor metabolic control this patient group in Jordan, a developing country with limited resources.Methods: Medical charts of children with type 1 diabetes attending the pediatric endocrine clinics in two major diabetes centers werereviewed. HbA1c ≥7.5% (58 mmol/mol) was considered to reflect poor metabolic control. Logistic regression analysis was performed toidentify predictors of poor glycemic control. The association between socioeconomic characteristics and metabolic control was evaluatedusing multiple correspondence analysis (MCA).Results: Two hundred and fifty-nine children were enrolled in the study. One fifth of the patients (20.5%) achieved HbA1c <7.5%.Patients with dietary non-compliance [odds ratio (OR): 3.533, confidence interval (CI): 1.803 - 6.926; p<0.001], and those who wereoverweight (OR: 3.869, CI: 1.218 - 12.294; p=0.022) were more likely to have poor metabolic control. Children whose mothers had abachelor’s degree or higher were less likely to have poor metabolic control compared to children whose mothers had only elementaryeducation (OR: 0.241, CI: 0.079 - 0.734; p=0.012). MCA revealed an association between low socioeconomic status and poor metaboliccontrol. Children with deceased mothers had significantly higher HbA1c of 10.6±1.86% compared to an average of 8.7±1.45% for therest of participants (p=0.005).Conclusion: Low socioeconomic status, lower levels of maternal education and maternal death were associated with poor metaboliccontrol. Identifying children with these risk factors might play an important role in optimizing metabolic control and provide betterdiabetes care.