Utilities face considerable uncertainty regarding the timing of battery electric vehicle (BEV) adoption within their service territories. Available BEV adoption estimates are high-level and do not provide detailed, location specific information. Moreover, even utility specific forecasts provide little in the way of geographic resolution. As a result, utilities are left with much guesswork regarding the potential magnitude and distribution of new electric system loads from future BEV adoption. While some available models can reasonably answer the question of whether or not sufficient electric capacity is available, utility planning departments are left wondering how the new load will be distributed across their system, which feeders will be most affected, where pinch points are located, and where and when to consider targeted upgrades. DNV has devised a data-based, ground-up forecast solution that projects adoption at the census tract level, providing significant new detail and information to support utility planning efforts.