In PostgreSQL, the numeric data type can indeed be negative. The numeric data type allows you to store numbers with a variable number of digits before and after the decimal point. This flexibility makes it suitable for storing both positive and negative values.

**What is the Numeric Data Type?**

The numeric data type in PostgreSQL is used to store arbitrary precision numbers. It can represent numbers with up to 131,072 digits before the decimal point and up to 16,383 digits after the decimal point. This means that you can use numeric to store extremely large or small numbers accurately.

__Storing Negative Numbers__

To store a negative number using the numeric data type, you simply prefix it with a minus sign (-). For example, if you want to store -10, you would write it as -10.

**Performing Arithmetic Operations**

Once you have stored negative numbers in PostgreSQL, you can perform various arithmetic operations on them. Addition, subtraction, multiplication, and division all work as expected with both positive and negative numbers.

Here’s an example of performing arithmetic operations on negative numbers:

- Addition: -10 + (-5) = -15
- Subtraction: -10 – (-5) = -5
- Multiplication: -10 * (-5) = 50
- Division: -10 / (-5) = 2

__Comparing Negative Numbers__

You can also compare negative numbers using comparison operators such as less than (<), greater than (>), less than or equal to (<=), greater than or equal to (>=), and equals (=).

For example:

- -10 > -5 returns false
- -10 < -5 returns true
- -10 <= -5 returns true
- -10 >= -5 returns false
- -10 = -5 returns false

**Conclusion**

In PostgreSQL, the numeric data type allows you to store negative numbers effortlessly. Whether you need to perform arithmetic operations or compare values, PostgreSQL provides the necessary functionality.

Remember to utilize the numeric data type whenever you have requirements for storing numbers with a variable number of digits and the possibility of negative values. With proper use of the numeric data type, you can ensure accurate and efficient calculations in your PostgreSQL database.

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