Abstract: A method of predicting compensation data includes obtaining compensation data, associated with a job category, with at least one datum being associated with each of a plurality of characteristics associated with the job category, determining values of factors, associated with respective ones of the characteristics, and a base value that when used as operands of a function yield estimates of the obtained data such that relationships between the estimates and corresponding obtained compensation data satisfy at least one criterion, and using a portion of the values of factors and the base value by a computer to automatically obtain estimates of compensation data.

Abstract: An apparatus and method pertains to calculating and presenting compensating values for one or more professions. An apparatus generates a user interface that prompts a user for a job description entry and a geographic location entry. The apparatus has a database to store salaries, each salary associated with a job description and a geographic location. The apparatus retrieves from the database salaries whose job description and geographic location matches the job description entry and the geographic location entry. The apparatus compiles retrieved salaries to generate a median salary, which is transmitted to a user device.

Abstract: A method of predicting compensation data includes obtaining compensation data, associated with a job category, with at least one datum being associated with each of a plurality of characteristics associated with the job category, determining values of factors, associated with respective ones of the characteristics, and a base value that when used as operands of a function yield estimates of the obtained data such that relationships between the estimates and corresponding obtained compensation data satisfy at least one criterion, and using a portion of the values of factors and the base value by a computer to automatically obtain estimates of compensation data.