GIS-based analysis incorporates geographical information such as the proximity to various facility provisions by considering different socio-economic groups, in order to determine the scenario of facility provision in an urban area. The GPS coordinated data of household and various facilities is obtained through physical survey work. A GIS based Proximity tool (Near Distance) is used for analysis. Paper presents an example where the problem is solved considering Euclidean distances. The provision of delineated facilities is evaluated by considering household characteristics which is categorised into various socio-economic groups. The nearest distance of each group with its surrounding facility is statistically analysed to find the percentage allocation of each groups with identified nearest facilities. The study results summarised that higher income group household tend to be concentrated near the area accessible to all three facilities compare to the other middle and lower income group that favouring the decreasing preference to the facilities. It is also seen that all group of household prefer to situate at the vicinity of available health facility compare to the other facilities.