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Home 2016 September MySQL: The finest solution for calculating Age from Date of Birth

MySQL: The finest solution for calculating Age from Date of Birth

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In this post, I am sharing the easy and finest way for calculating Age from Date of Birth of MySQL.

As a database architecture, I never suggest to store calculated Age into database because this is ever changing information base on time.

We should store only the Date of Birth into our database system and whenever it requires to show Age, we should calculate Age using Date of Birth.

I have found many complex solutions to calculate Age, but here I am sharing one of the easiest way.

First, create a table with sample data:

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CREATE TABLE tbl_UserAge
(
UserID INTEGER
,DOB DATE
);
 
INSERT INTO tbl_UserAge
VALUES
(1,'19880126'),(2,'19930408'),(3,'19860818')
,(4,'19900316'),(5,'19870607'),(6,'19850215');

Calculating Age for all data:

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SELECT
UserID
,DOB
,TIMESTAMPDIFF(YEAR,DOB,CURDATE()) AS UserAge
FROM tbl_UserAge;

MySQL Age Calculation

Sep 30, 2016Anvesh Patel
MySQL: How to TRUNCATE all Tables of a Database?MySQL: How to get Max Value for each group?
Comments: 1
  1. Imam Hossain
    August 8, 2018 at 5:36 am

    This type of solution i am searching. thanks for you code. But please share full process.

Anvesh Patel
Anvesh Patel

Database Engineer

September 30, 2016 MySQLAnvesh Patel, database, database research and development, dbrnd, MySQL, MySQL Command, MySQL Database Administrator, MySQL Database Designing, MySQL Database Programming, MySQL Error, MySQL Performance Tunning, MySQL Query, MySQL Tips and Tricks
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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