The components of an employee’s gross salary can be classified under 5 categories. These are:
- Basic Salary
- Fees, Bonus and Commissions
- Allowances
- Perks
- Retirement Benefits/ Superannuation
Some of the examples of perks and allowances over and above the basic salary of an employee are Dearness Allowance, House Rent Allowance, City Compensatory Allowance, Deputation Allowance, Medical Allowance, Leave Travel Allowance, Officiating Allowance, amongst others.
There are no stringent regulations regarding the computation of the basic salary of an employee and the components of gross salary, as discussed above. City Compensatory Allowance is one of these allowances that are not accompanied by regulations regarding the maximum or minimum capping on eligibility, leaving it on the employer to decide the amount that they would like to offer to the employees.
Decision on the amount of CCA is generally based on the following considerations:
- Employment policies of the business or organization
- Cost of living index of the city where it is located
The percentage offered as City Compensatory Allowance to employees across sectors – government organizations as well as public and private sector firms, usually range between 10% and 20%.
Higher management level employees usually do not qualify for City Compensatory Allowance as their pay scale belongs to a range that is substantial to meet the high cost of living, typical to metropolitan and large cities, especially Tier I cities.
Employees belonging to the lower level in an organization’s hierarchy are usually eligible for City Compensatory Allowance as their basic salaries are not sufficient to meet the basic standard of living in Tier I and Tier II cities. In most cases, a certain fixed amount is paid to employees as City Compensatory Allowance and not calculated in terms of a pre-determined percentage on basic salary. If that had been the case, it would imply that an employee with a high basic salary would be eligible for a higher City Compensatory Allowance, which would be a biased decision.