> For the complete documentation index, see [llms.txt](https://www.pranaypourkar.co.in/the-programmers-guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://www.pranaypourkar.co.in/the-programmers-guide/database/sql-databases/sql-fundamentals/sql-data-types/numeric-types.md).

# Numeric Types

## About

**Numeric data types** are used to store numbers in a database. These numbers can be **integers** (whole numbers) or **decimals** (numbers with a fractional part). SQL provides a set of standard numeric types that most relational databases support, though exact names and behavior may vary slightly between vendors.

## 1. **INTEGER (or INT)**

* Stores whole numbers without a fractional component.
* Example: 1, -20, 999
* Storage size and range can vary depending on the system.
* Often used for IDs, counters, or quantities.

**Synonyms:** `INT`, `INTEGER`

## 2. **SMALLINT**

* Stores smaller-range integers than `INT`.
* Takes less storage.
* Suitable when the range of values is limited (e.g., 0–100).

## 3. **BIGINT**

* Stores very large integers.
* Useful for applications that require large numeric values (e.g., timestamps, large counters).

## 4. **DECIMAL(p, s)** or **NUMERIC(p, s)**

* Stores exact numbers with a fixed number of digits.
* `p` = total number of digits (precision).
* `s` = number of digits to the right of the decimal point (scale).
* Commonly used for monetary or financial data where precision is critical.

**Examples:**

* `DECIMAL(5,2)` can store values like 123.45, 99.99, etc.
* `NUMERIC(10,0)` is an integer with up to 10 digits.

**Note:** `DECIMAL` and `NUMERIC` are functionally equivalent in standard SQL.

## 5. **FLOAT(p)**

* Stores approximate numeric values with floating-point precision.
* `p` is precision, typically the number of bits used to represent the value.
* Useful for scientific calculations where precision is not exact.

## 6. **REAL**

* A floating-point number with lower precision than `FLOAT`.
* Approximate numeric data type.
* Not suitable when exact values are required.

## 7. **DOUBLE PRECISION**

* A floating-point number with higher precision than `REAL`.
* Also an approximate type.
* Used when more accuracy is needed in floating-point calculations.

## Vendor Support Overview

<table><thead><tr><th width="151.81640625">Data Type</th><th width="119.9765625">Standard SQL</th><th>Oracle</th><th width="89.375">MySQL</th><th width="111.34375">PostgreSQL</th><th>SQL Server</th></tr></thead><tbody><tr><td><code>INTEGER</code> / <code>INT</code></td><td>Yes</td><td>Yes</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><td><code>SMALLINT</code></td><td>Yes</td><td>Yes</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><td><code>BIGINT</code></td><td>Yes</td><td>Yes (from 8i)</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><td><code>DECIMAL(p,s)</code></td><td>Yes</td><td>Yes</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><td><code>NUMERIC(p,s)</code></td><td>Yes</td><td>Yes</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><td><code>FLOAT(p)</code></td><td>Yes</td><td>Yes (alias)</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><td><code>REAL</code></td><td>Yes</td><td>No (not standard)</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><td><code>DOUBLE PRECISION</code></td><td>Yes</td><td>No (use <code>BINARY_DOUBLE</code>)</td><td>Yes</td><td>Yes</td><td>Yes (<code>FLOAT(53)</code>)</td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://www.pranaypourkar.co.in/the-programmers-guide/database/sql-databases/sql-fundamentals/sql-data-types/numeric-types.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
