Postgres Data Types

PostgreSQL supports the following data types:


Boolean data type can hold one of three possible values: true, false or null. You use boolean or bool keyword to declare a column with the Boolean data type.

When you insert data into a Boolean column, PostgreSQL converts it to a Boolean value

  • 1yesyttrue values are converted to true
  • 0nofalsef values are converted to false.

When you select data from a Boolean column, PostgreSQL converts the values back e.g., t to true, f to false and space to null.


PostgreSQL provides three character data typesCHAR(n)VARCHAR(n), and TEXT

  • CHAR(n) is the fixed-length character with space padded. If you insert a string that is shorter than the length of the column, PostgreSQL pads spaces. If you insert a string that is longer than the length of the column, PostgreSQL will issue an error.
  •  VARCHAR(n) is the variable-length character string.  With VARCHAR(n),  you can store up to n characters. PostgreSQL does not pad spaces when the stored string is shorter than the length of the column.
  •  TEXT is the variable-length character string. Theoretically, text data is a character string with unlimited length.


PostgreSQL provides two distinct types of numbers:


There are three kinds of integers in PostgreSQL:

  • Small integer ( SMALLINT) is 2-byte signed integer that has a range from -32,768 to 32,767.
  • Integer ( INT) is a 4-byte integer that has a range from -2,147,483,648 to 2,147,483,647.
  • Serial is the same as integer except that PostgreSQL will automatically generate and populate values into the SERIAL column. This is similar to AUTO_INCREMENT column in MySQL or AUTOINCREMENT column in SQLite.

Floating-point number

There are three main types of floating-point numbers:

  • float(n)  is a floating-point number whose precision, at least, n, up to a maximum of 8 bytes.
  • real or float8 is a 4-byte floating-point number.
  • numeric or numeric(p,s) is a real number with p digits with s number after the decimal point. The numeric(p,s) is the exact number.

Temporal data types

The temporal data types allow you to store date and /or  time data. PostgreSQL has five main temporal data types:

  • DATE stores the dates only.
  • TIME stores the time of day values.
  • TIMESTAMP stores both date and time values.
  • TIMESTAMPTZ is a timezone-aware timestamp data type. It is the abbreviation for timestamp with the time zone.
  • INTERVAL stores periods of time.

The TIMESTAMPTZ is the PostgreSQL’s extension to the SQL standard’s temporal data types.


In PostgreSQL, you can store an array of strings, an array of integers, etc., in array columns. The array comes in handy in some situations e.g., storing days of the week, months of the year.


PostgreSQL provides two JSON data types: JSON and JSONB for storing JSON data.

The JSON data type stores plain JSON data that requires reparsing for each processing, while JSONB data type stores JSON data in a binary format which is faster to process but slower to insert. In addition, JSONB supports indexing, which can be an advantage.


The UUID data type allows you to store Universal Unique Identifiers defined by RFC 4122 . The UUID values guarantee a better uniqueness than SERIAL and can be used to hide sensitive data exposed to the public such as values of id in URL.

Special data types

Besides the primitive data types, PostgreSQL also provides several special data types related to geometric and network.

  • box– a rectangular box.
  • line – a set of points.
  • point– a geometric pair of numbers.
  • lseg– a line segment.
  • polygon– a closed geometric.
  • inet– an IP4 address.
  • macaddr– a MAC address.

In this tutorial, we have introduced you to the PostgreSQL data types so that you can use them to create tables in the next tutorial.


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