The present project has been designed to check the prevalence of obesity between working and non-working women to find the association between nutritional health status (anthropometric and energetics measures) and other indicator biomarkers. Among anthropometry data, the results of height (WG: 150.66 ± 2.50; NG: 149.71 ± 3.08), BMI (WG: 30.309 ± 0.620; NG 30.771 ± 1.103), waist circumference (WG: 98.479 ± 3.074; NG: 100.65 ± 3.08), AMR (WG:1741.2 ± 111.6; NG: 1699.6 ± 71.0), BMR (WG:1244.7 ± 55.7; NG: 1230.8 ± 55.8), TDEE (WG: 1668.3 ± 154.3; NG: 1552.3 ± 134.0), body fat% (WG:31.12 ± 1.32; NG: 32.29 ± 1.63), body water (WG:44.97 ± 1.99; NG: 44.29 ± 1.37), cholesterol (WG: 201.63 ± 39.79; NW: 225.30 ± 43.57) were statistically highly significant (P<0.001).Food Frequency Questionnaire (FFQ) showed better dietary plan for working women. HDL, TAG and CHO showed a strong positive correlation with weight with Pearson's r value (4.17, 4.95, 3.33) and WTHR (9.22, 9.42, 14.35) for working female. Results from FFQ showed that TAG has positive correlation with fats (r=10.31 and r=2.93) respectively. Oxygen saturation with CHO has negative correlation with Pearson's value (r= 7.86 and r= 6.17). This study concluded a strong difference between BMI, major indicator biomarkers and lifestyle factors (dietary habits, physical activity) between working and non-working women that paves the way for future studies to put forward some interventions using these parameters to control central obesity.