This study aimed to demonstrate the feasibility of using health system data to examine the geographic distribution of sugar‐sweetened beverage intake and evaluate neighborhood characteristics associated with intake. Researchers extracted electronic health record data from a sugar‐sweetened beverage and 100% fruit juice screener used for children ages 1 to 17 years in eight pediatric practices in North Carolina (March 2017‐2018) and dichotomized intake to high (≥3 sugar‐sweetened beverages/day) vs not, then combined electronic health record data with US census data and evaluated associations of census tract income and race/ethnicity with intake. Of 19,451 patients, 4579 (23.5%) reported consuming ≥3 sugar‐sweetened beverages/day. In multivariable models, children living in tracts with high concentrations of low‐income (OR: 1.45, 95% CI: 1.26, 1.68) and non‐white residents (OR: 1.44, 95% CI: 1.21, 1.71) were more likely to consume ≥3 sugar‐sweetened beverages/day than children in tracts with a high concentration of high‐income and white residents.