We use an integrated approach for evaluating groundwatervulnerability using the multi-criteria decision making (MCDM), statistical, and geographic information system (GIS). Hydrogeochemical data from 50 sample points were converted to a surface raster using the inverse distance weightage method. The literature survey indicates absence of systematic study of the water quality vulnerability in the study area. Ten thematic layers namely pH, total dissolved solid (TDS), bicarbonate (HCO₃⁻), chloride (Cl⁻) sulfate (SO₄²⁻) nitrate (NO₃⁻), fluoride (F⁻), calcium (Ca²⁺), magnesium (Mg²⁺), and total hardness (TH) as calcium carbonate were used for the weighted overlay analysis. Our analysis indicates that the NCT Delhi region can be classified into five classes based on groundwatervulnerability i.e. very low, low, moderate, high, and very high. The result shows that percentage of the area of groundwatervulnerability is very low (17.9%), low (22.0%), moderate (20.7%), high (19.9%), and very high (19.5%) respectively. The land use pattern of the study area was found to be 1.53% of the land covered with water, 5.46% trees, 0.36% grass, 0.01% of flooded vegetation, 28.69% of crops, 3.64% of shrubs, 59.97% as the built-up area, and 0.35% as the bare land, for the year 2020.