Occupational classification has been a subject of many experiments. From the definition of a worker to their attribution to a particular category of occupation. Multiple attempts have been made in understanding and explaining the same. The present paper attempts to take the case of female workforce and delves into the subject of categorizing their prevalence across the Kashmir valley (geographic unit), which by and large corresponds to Kashmir Division (administrative unit) in a comprehensible manner. The researcher adopts the Standard deviation method to do so. Using the standard deviations observed for each occupational category, the researcher proposes a rank table visualizing the target area employing a standard deviation-based occupational coding. Based on the rank table it is observed that amongst the female workforce the primary sector is dominant in Ganderbal and Kulgam districts, secondary sector in Shopian, Pulwama and Kulgam, tertiary sector in Srinagar and Budgam and the Quaternary/Quinary sectors in Srinagar, Anantnag and Pulwama districts. The standard deviation method adopted in this paper has led to a satisfactory representation of the occupational distribution observed in the sample area. The occupational coding of the target districts using this method not only makes it easier to visualize the occupational trends but also gives us a clear sense of variation (positive and negative) amongst these categories across the districts.