Background: Basal cell carcinoma (BCC) can be categorized as one of the commonly occurring skin malignancies in the world, with several variations in treatment protocols. Sun exposure has been attributed to its causality; however, other factors such as gender, age, and occupation also affect its incidence. We aimed to characterize the patient population who underwent surgical management for facial BCC at a tertiary referral hospital. Further, we have described an algorithm that may aid in surgical decision-making based on the location of the lesions on the face. Materials and Methods: We performed a retrospective chart review of all patients who presented with a facial BCC to our institution between 2018 and 2019. Data regarding patients' demographic characteristics, skin phototype, average sun exposure, occupation, residence place (rural or urban), and surgical outcomes were recorded. Results: Sixty-eight patients underwent reconstructive procedures after oncologic resection of facial BCC: 41.2% were males and 58.8% were females. Forty-eight (70.6%) patients were from rural areas, and 20 patients (29.4%) from urban areas (P 0.001). Twenty-six patients reported >2 h of sunlight exposure, 16 reported 2 h of continuous sun exposure, and 26 reported intermittent sun exposure. A significantly higher proportion of patients with facial BCC presented with a Fitzpatrick skin type 4 in comparison to types 3 and 5 (P 0.001). The most common reconstructive technique was the V-Y advancement flap (n=22, 32.4%), followed by the forehead flap (n=12, 17.6%) and the Limberg flap (n=12, 17.6%). All the flaps were healthy post-operatively and none of them suffered from flap failure, infection, or suture line dehiscence. There was no recurrence at 1-year follow-up. Conclusion: This study gives a correlation between incidence of BCC and age, gender, and sun exposure in Indian population. In our experience, local flaps yield outstanding results and are the first choice for reconstruction of the face when composite defects are not present. Our algorithm aids in surgical decision-making. © 2022 Elsevier B.V., All rights reserved.