Abstract: Glycated Hemoglobin (HbA_1c) is now used largely for DM control. Hb A_1c is influenced by many risk factors; these include Body Mass Index (BMI), physical activity, age, ethnicity, diet, smoking and Blood Pressure (BP). Previous studies showed that that the levels of HbA_1C a showed continuous relationship with cardiovascular disease and hypertension. The objective of this study is to investigate the correlation between the blood pressure levels as determinants of glycated hemoglobin in non-diabetic Sudanese population. A cross sectional study was conducted during 2016-2018 in Sudan covering Khartoum state, Northern state, Gezira state, Red Sea state and North Darfur state, on adults of ages between 20-60 years and not known to be diabetic or suffering from any chronic illness. The 1096 participants were assessed by a questionnaire covering age, gender and other demographic and social characteristics. BMI and BP was calculated by standard scales. A sample of 5 mL venous blood was taken for FBG to exclude DM and measurement of HbA_1c using a modified ELISA reader known as Cobas Integra 800 (Roch) machine. Correlations between the variables were estimated and p<0.05 was considered statistically significant. The overall mean value of HbA_1c was 4.6%±0.9 with a minimum value of 1.2% and maximums of 6.3. At 95% confidence interval the lower bound Mean was 4.5% and the upper bound mean was 4.7%. The mean of systolic and diastolic blood pressure levels was found to be 114.7%±11.9 and 75.8%±8.5, respectively. There was no correlation was observed between HbA_1c with age and BMI (r) = 0.009, -0.032 and the p = 0.7, 0.33, respectively. There was no correlation between HbA_1c with DBP. There was significant negative correlation between HbA_1c with pulse rate and systolic blood pressure (r) = -0.160 and -0.063 with significant p = 0.00 and 0.049, respectively. In conclusion HbA_1c can be utilized as a prognostic factor for heart failure, cardiac muscles disorders, coronary artery disease, stroke and death before the diagnosis of diabetes.