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  1. PO
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    <p>I would use an aggregate function with a CASE expression to convert the <code>old</code> and <code>new</code> values into columns, then you can easily get the <code>total</code> and <code>average</code> using <code>sum()</code> and <code>avg()</code>:</p> <pre><code>select [procedure], SUM(case when proc_old_new = 'Old' then proc_time else 0 end) Old, SUM(case when proc_old_new = 'New' then proc_time else 0 end) New, SUM(proc_time*1.0) Total, sum(proc_time*1.0)/2 [avg] from mytable group by [procedure]; </code></pre> <p>See <a href="http://sqlfiddle.com/#!3/57e0e0/1" rel="nofollow">SQL Fiddle with Demo</a>. This gives a result:</p> <pre><code>+-----------+-----+-----+-------+----------+ | procedure | Old | New | Total | avg | +-----------+-----+-----+-------+----------+ | Proc1 | 3 | 2 | 5.0 | 2.500000 | | Proc2 | 8 | 0 | 8.0 | 4.000000 | | Proc3 | 4 | 14 | 18.0 | 9.000000 | +-----------+-----+-----+-------+----------+ </code></pre> <p>You desired result is not exactly clear but if you want to only average based on whether the <code>old</code>/<code>new</code> value is not null, then you could also use:</p> <pre><code>;with cte as ( select [procedure], sum(case when proc_old_new = 'Old' then proc_time end) Old, sum(case when proc_old_new = 'New' then proc_time end) New from mytable group by [procedure] ) select [procedure], Old, New, coalesce(Old, 0) + coalesce(New, 0) Total, AVG(value) [avg] from cte cross apply ( select cast(old as decimal(10, 2)) union all select cast(new as decimal(10, 2)) ) c(value) group by [procedure], Old, New </code></pre> <p>See <a href="http://sqlfiddle.com/#!3/57e0e0/2" rel="nofollow">SQL Fiddle with Demo</a>. This version gives a result:</p> <pre><code>+-----------+-----+------+-------+----------+ | procedure | Old | New | Total | avg | +-----------+-----+------+-------+----------+ | Proc1 | 3 | 2 | 5 | 2.500000 | | Proc2 | 8 | NULL | 8 | 8.000000 | | Proc3 | 4 | 14 | 18 | 9.000000 | +-----------+-----+------+-------+----------+ </code></pre>
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    1. POSumming data into pivot style in same table with different predicate
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    1. USTaryn
    1. USTaryn
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    1. COThe output from that does not match the requested output. For Proc3, it returns an unweighted average of 6.0. The OP needs a weighted average of 9.0
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      1. USAnon
    2. CO@Anon that can easily be fixed using the change I just made.
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      1. USTaryn
    3. COInstead of the CASE divisor you can use: (SELECT AVG(value) FROM (VALUES ([Old]),([New])) t(value)) AS [avg]
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