The present study describes spatial variation of arsenic (As) in groundwater with respect to surface elevation and slope using SRTM data. In total, 34 water samples were collected from shallow aquifers covering all 17 blocks of Ballia district in the pre and post-monsoon season during 2011. Atomic absorption spectrophotometer (AAS) was used for arsenic testing. Inverse Distance Weighted (IDW) model was applied for interpolation of As concentrations. The statistical method was applied to assess the spatial variations amongst the variables. The result showed that the highest arsenic concentrations were found at low surface elevation, slopes and water table. The results also show the inverse relationship among these variables. The relationships between groundwater arsenic, slopes and water table were non-linear. These variables had negative corrections with As in groundwater. The study showed that more than 90 % areas contain arsenic above the permissible limit of 10 ppb in both pre- and post monsoon seasons.