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SELECT branchNo, COUNT(*), SUM(salary)<br />
FROM Staff<br />
GROUP BY branchNo<br />

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SELECT branchNo, COUNT(*), SUM(salary)
FROM Staff
GROUP BY branchNo


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<pre><code id="code-189143">SELECT DISTINCT a.BranchNo, (SELECT Count(*) FROM Staff WHERE BranchNo = a.BranchNo) StaffCount, 
(SELECT Sum(Salary) FROM Staff WHERE BranchNo = a.BranchNo) SumSalary
FROM Staff a</code></pre>
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SELECT DISTINCT a.BranchNo, (SELECT Count(*) FROM Staff WHERE BranchNo = a.BranchNo) StaffCount, 
(SELECT Sum(Salary) FROM Staff WHERE BranchNo = a.BranchNo) SumSalary
FROM Staff a

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Yeah, you can do it the EASY way like angelIII and tigin44 suggest. Or you can do it the HARD way, the HoggZIlla way. LOL. Sorry. Yes, definately use above with group by. Time to go home. LOL
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Yeah, you can do it the EASY way like angelIII and tigin44 suggest. Or you can do it the HARD way, the HoggZIlla way. LOL. Sorry. Yes, definately use above with group by. Time to go home. LOL

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I have a table &quot;Staff&quot; with columns: id, salary, and branchNo. I need to write a query to count the number of staff members in each distinct branch and find the sum of the salaries in each branch. Unless I write multiple select statements hardcoding the unique branchNo's I can't think of a clearer, more dynamic approach.
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I have a table "Staff" with columns: id, salary, and branchNo. I need to write a query to count the number of staff members in each distinct branch and find the sum of the salaries in each branch. Unless I write multiple select statements hardcoding the unique branchNo's I can't think of a clearer, more dynamic approach.

SQL: Select and courting distinct rows

Microsoft Access is a rapid application development (RAD) relational database tool. Access can be used for both desktop and web-based applications, and uses VBA (Visual Basic for Applications) as its coding language.

Microsoft Access

SQL (Structured Query Language) is designed to be used in conjunction with relational database products as of a means of working with sets of data. SQL consists of data definition, data manipulation, and procedural elements. Its scope includes data insert, query, update and delete, schema creation and modification, and data access control.