SQL AVG() Function: Calculate the Average in Your Database Code
SQL AVG returns a calculated average result based on values in a table column. AVG is one of many SQL aggregate functions that allow the programmer to apply mathematic operations to expressions or sets of expressions. It differs primarily from an operator due to its syntax. Operators perform mathematic operations on two or more columns, but aggregate functions let you perform these operations using internal SQL methods.
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SQL AVG
The syntax for the SQL AVG function for MySQL, PostgeSQL and SQL Server is
AVG([ALL|DISTINCT]expression1, expression2, expression3 ….)
The syntax for DB2 & Oracle is
AVG([ALL|DISTINCT] expression1, expression2, expression3..) OVER (windows_clause)
Parameters
ALL = Applies to all values
DISTINCT = Applies to only unique values
Expression = Argument made up of a single variable, constant, scalar function or column name
Typical usage
SELECT AVG (Column/Field) AS (New Field) FROM (Table)
The next section will run through some examples of SQL AVG in real world scenarios with suggested code as examples. All the examples will use the table below for reference and values.
Sample Database Table for examples that follow
ProductID | ProductName | SupplierID | CategoryID | Vendor_ID | Price |
1 | Frozen Strawberry | 1 | 1 | 101 | 18 |
2 | Blueberry Juice | 1 | 1 | 102 | 19 |
3 | Maple Syrup | 1 | 2 | 101 | 10 |
4 | Plain Yoghurt | 2 | 2 | 107 | 21.35 |
5 | Sugar | 2 | 2 | 102 | 25 |
Example 1
In this example, the select AVG() function calculates the average in the column Price.
SELECT AVG(Price) AS PriceAverage FROM Products;
PriceAverage |
18.67 |
Explanation: In this example, the AVG function calculates the average in the Price column in the Table Products under the heading PriceAverage.
Example 2
In this example, the aim is to find the products priced above the average.
SELECT ProductName, Price FROM Products
WHERE Price>(SELECT AVG(Price) FROM Products);
ProductName | Price |
Blueberry Juice | 19 |
Plain Yoghurt | 21.35 |
Sugar | 25 |
Explanation – In this example the AVG function first calculates the average price for the column Price in the table Products. It selects those values that are greater (>) than the average value and lists them under ProductName and Price.
Example 3
In this scenario, the average of product prices between two limits is calculated.
Using SQL AVG () with a “where” clause:
SELECT AVG( AvgPrice)
FROM Products
WHERE Price>10 AND Price <= 25;
AvgPrice | |
19.45 |
Explanation – the where clause selects the values between 10 and an upper limit of less than or equal to 25. Avg() then finds the mean of the prices in that window.
Example 4
SQL AVG() with SUM()
This example works with the SUM() the object and adds all the values in the column Price and then uses the AVG function to calculate the average.
SELECT SUM(Price), AVG(Price)
FROM Products;
SUM(Price) | AVG Price |
93.35 | 18.67 |
SQL AVG with CAST()
The AVG() function returns an average calculation performed on a set of expressions with default decimal places. The CAST() function however can be used in conjunction with AVG() to increase or decrease the number of decimal places. When converting decimal and numeric data types, CAST() is better at preserving the decimal places. The AS-DECIMAL is used along with the specified type when using the CAST() to stipulate the decimal places.
Syntax
CAST (expression)
AS [Data Type] [specified format]
Parameters
Expression – Expression made up of a single constant, variable, scalar function, or column name
Data Type – CHAR(), VARCHAR(), DECIMAL(), FLOAT
Specified Format – The required specified format
Using the Cast function with AVG()
Example 5
SELECT CAST(AVG(Price) AS DECIMAL(10,2))
FROM Products
Price |
18.70 |
SQL AVG can use CAST both inside and outside of the AVG() function. Here is an example of each.
SQL AVG() using CAST() inside the AVG()
Example 6
SELECT Vendor_ID, COUNT(*),
AVG(CAST(Price AS DECIMAL(12,2))) AS AvgPrice
FROM Products
GROUP BY Vendor_ID;
Vendor_ID | Count | AvgPrice |
101 | 2 | 14 |
102 | 2 | 22 |
107 | 1 | 21.35 |
Explanation – First, you need to retrieve and count the number of Vendor_Ids. Then, you average the corresponding prices grouped by Vendor_ID. This will return an average price to two decimal places for each Vendor ID.
Averaging Date / Time Stamps in SQL
Another common usage for the AVG function is when you need to average dates and times. This can be more difficult to perform, but it can be very useful when doing trend analysis. One way SQL can do this is to use CAST() to convert the date/time stamps into floating point numbers.
The other way is to use the AVG() function as in this code snippet:
SELECT AVG (des_date – ord_date) AS average_despatch_days
FROM despatch
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Using SQL AVG and ROUND()
SQL AVG can also work in conjunction with the ROUND() function to round a number to the specified number of places.
Example 8
SELECT ROUND(AVG(Price) ,0) AS “Rounded Price Avg.”
FROM Products;
Rounded Price Avg |
19 |
Example 9
SQL AVG() with GROUP BY
SELECT Vendor_ID, AVG(Price)
FROM Products GROUP BY Vendor_ID;
Vendor_ID | AVG(Price) |
101 | 14 |
102 | 22 |
107 | 21.35 |
Example 10
SQL AVG() with ROUND() and GROUP BY
Vendor_ID | AVG(Price) |
101 | 14 |
102 | 22 |
107 | 21 |
Example 11
SQL AVG() with ROUND(), rounded to nearest negative value
SQL AVG and ROUND() can be used to round up to a specific decimal point. Rounding can be done from the nearest negative or positive place from the decimal point.
For instance, to get the average of ‘(534.224/2)’ with a heading ‘AVG’ and the average of ‘(534.224/2)’ rounded down to the first number to the left of the decimal point (-1), you can use the following code:
SELECT AVG (534.224/2) AS “Avg.”,
ROUND (AVG(534.224/2),-1) AS “Rounded -1 Decimal Place”
FROM Products;
AVG | Rounded -1 Decimal Place |
267.112 | 267 |
The AVG () function in SQL is one of the aggregate functions that enables programmers to utilize built-in mathematical tools. They can be used alongside other functions such as sum, case and round to quickly calculate values. Aggregate functions bring mathematic capabilities to queries, making the programming more efficient and easier to produce.
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