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How to Choose Life Insurance Plan According to Your Income?

Which is best policy for life insurance?

When it comes to life insurance, there are several types of policies available in the market to suit your budget and age. But as you grow older, your insurance requirements change and thus, you must plan accordingly. To ensure you have enough coverage to secure your family, you need to estimate various expenses based on your dependents and debts. So, learn which life insurance plan you can purchase based on your income.

Income Is Equal to or Less than INR 50,000

If you are in your early or late twenties without any dependents or family responsibilities, this is the best time to invest in life insurance plans. This is when you can develop your saving habits and make wise investment choices. Once you begin your family, you must manage numerous financial responsibilities. So, an early investment start with life insurance plans can help you get an affordable premium rate for a high sum assured. With an income of equal to or less than INR 50,000 per month, you can select from the following types of life insurance policies:

Income Equals to or Less than INR 1.5 Lakh

By the time your income has increased to INR 1.5 Lakhs per month or less, you might be between the ages of 30 to 40 years. So, there is a possibility that you are married and your spouse may or may not be working. Plans such as purchasing a home, family planning, saving up for your child’s education, etc. begin to form. Thus, you need to have enough coverage to safeguard your spouse in your absence. Below are some suitable plans:

Income More than INR 1.5 Lakh

With an increased income of more than INR 1.5 Lakh per month, you must now be in your fifties. A major chunk of your money must be going towards saving up for your children along with some loans and debts. As you are nearing your retirement, you cannot take any risks or make new investments because you also need some corpus for retirement planning. So, following are some suitable insurance options:

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