Purpose: To identify the demographic, situational, socioeconomic, and meteorological factors that characterize patients presenting to the ER with suspected NAT. Furthermore, to utilize this data to develop a standardized intake assessment tool to identify at risk families and facilitate focused intervention/prevention. Methods: Data on patient demographics, situational factors, socio-economic factors and weather patterns at the time of injury were gathered from medical records of 277 patients evaluated for possible NAT from 2007 to 2014. Chi-square and Fisher’s exact test were used to examine possible associations between these factors and the presence of NAT. Results: Patient age had a significant impact on the likelihood of NAT (p = 0.022) – almost 64% of children older than two years old who were evaluated were actually found to have NAT. The mechanism of injury significantly correlated with a case being found to be NAT (p = 0.000) -- 58.1% of cases with an unknown or unclear history were determined to be NAT, and the vast majority (90 to 100%) of thoracic, intraabdominal, and eye injuries (retinal hemorrhage, retinoschisis, and subconjunctival hemorrhage) were deemed NAT. The person in whose custody the injury occurred strongly correlated with the diagnosis of NAT (p = 0.000). A case was more likely to be NAT when the injury occurred while in the care of an unrelated adult: 74.0% (37 of 50) compared to only 39.6% of children in the care of a related adult (78 of 197). There were fewer cases of NAT seen in patients living with both parents compared to those with a single parent (33.9% and 53%, respectively), p = 0.010. Patients with mothers under the age of 25 represented a greater proportion of NAT cases when compared to patients with mothers older than 25 (70.2% vs. 43.8%), p = 0.014. Overall, February had the highest number and greatest proportion of cases deemed to be NAT, while July had the lowest, p = 0.044. On average, February also corresponded with the month that had the greatest number of days with snowfall and days of significant snow depth on the ground (16 days and 79 days, respectively). Conclusion: Our study’s findings identified several NAT potential risk factors: patient age, biologic relationship of caregiver at time of injury, mechanism of injury, and maternal age less than < 25 years. The month of the year at the time of injury also correlated with NAT, although a definitive link between the two remains to be found. These risk factors for NAT that might be incorporated into a standardized assessment as a means of identifying those at-risk families in need of preventative intervention.