There's really no limit to what you can do with grouping and case statements. The OVER() clause really makes thing easy. You can even combine all the aggregates in the same CASE statement, then use the DelimitedSplit8K function and a PIVOT to show the aggregated results:
IF OBJECT_ID('tempdb..#TempTable') IS NOT NULL
DROP TABLE #TempTable
CREATE TABLE #TempTable (
[ID] INT IDENTITY(1,1) NOT NULL,
[Age] INT NULL,
[Sex] CHAR(1) NULL,
[School] VARCHAR(20) NULL,
PRIMARY KEY (ID))
INSERT INTO #TempTable
SELECT 22,'M','Thomasville'
UNION
SELECT 19,'M','Thomasville'
UNION
SELECT 31,'F','Polytechnic'
UNION
SELECT 20,'M','Thomasville'
UNION
SELECT 32,'F','Polytechnic'
UNION
SELECT 27,'F','Thomasville'
UNION
SELECT 22,'M','Polytechnic'
UNION
SELECT 18,'M','Thomasville'
UNION
SELECT 40,'F','Thomasville'
IF OBJECT_ID('tempdb..#ResultsTable') IS NOT NULL
DROP TABLE #ResultsTable
CREATE TABLE #ResultsTable (
[ID] INT IDENTITY(1,1) NOT NULL,
[Sex] VARCHAR(10) NULL,
[SexMin] INT NULL,
[SexAvg] DECIMAL(5,2) NULL,
[SexMax] INT NULL,
[School] VARCHAR(20) NULL,
[SchMin] INT NULL,
[SchAvg] DECIMAL(5,2) NULL,
[SchMax] INT NULL,
PRIMARY KEY (ID))
INSERT INTO #ResultsTable
SELECT
(CASE
WHEN Sex = 'M' THEN 'Male'
WHEN Sex = 'F' THEN 'Female'
END
) AS Sex
,MAX(MinAge1) OVER (PARTITION BY Sex) AS SexMin
,MAX(CAST(AvgAge1 AS DECIMAL(5,2))) OVER (PARTITION BY Sex) AS SexAvg
,MAX(MaxAge1) OVER (PARTITION BY Sex) AS SexMax
,School
,MAX(MinAge2) OVER (PARTITION BY School) AS SchMin
,MAX(CAST(AvgAge2 AS DECIMAL(5,2))) OVER (PARTITION BY School) AS SchAvg
,MAX(MaxAge2) OVER (PARTITION BY School) AS SchMax
FROM
(
SELECT
Sex
,(CASE
WHEN ItemNumSex = 1 THEN 'MinAge1'
WHEN ItemNumSex = 2 THEN 'AvgAge1'
WHEN ItemNumSex = 3 THEN 'MaxAge1'
END) AS AggTypeSex
,ItemSex AS AggAgeSex
,School
,(CASE
WHEN ItemNumSch = 1 THEN 'MinAge2'
WHEN ItemNumSch = 2 THEN 'AvgAge2'
WHEN ItemNumSch = 3 THEN 'MaxAge2'
END) AS AggTypeSch
,ItemSch AS AggAgeSch
FROM
(
SELECT
R.Sex
,R.School
,ds1.ItemNumber AS ItemNumSex
,ds1.Item AS ItemSex
,ds2.ItemNumber AS ItemNumSch
,ds2.Item AS ItemSch
FROM
(
SELECT
Sex
,School
,(CASE
WHEN Sex IS NOT NULL
THEN
CAST(MIN(Age) OVER (PARTITION BY Sex) AS VARCHAR(10))
+','+CAST(AVG(CAST(Age AS DECIMAL(5,2))) OVER (PARTITION BY Sex) AS VARCHAR(10))
+','+CAST(MAX(Age) OVER (PARTITION BY Sex) AS VARCHAR(10))
END) AS AggSex
,(CASE
WHEN School IS NOT NULL
THEN
CAST(MIN(Age) OVER (PARTITION BY School) AS VARCHAR(10))
+','+CAST(AVG(CAST(Age AS DECIMAL(5,2))) OVER (PARTITION BY School) AS VARCHAR(10))
+','+CAST(MAX(Age) OVER (PARTITION BY School) AS VARCHAR(10))
END) AS AggSchool
FROM
#TempTable
) AS R
CROSS APPLY
dbo.DelimitedSplit8K(R.AggSex,',') AS ds1
CROSS APPLY
dbo.DelimitedSplit8K(R.AggSchool,',') AS ds2
) AS R1
) AS A
PIVOT
(
MAX(AggAgeSex) FOR AggTypeSex IN (MinAge1,AvgAge1,MaxAge1)
) AS SexAggregates
PIVOT
(
MAX(AggAgeSch) FOR AggTypeSch IN (MinAge2,AvgAge2,MaxAge2)
) AS SchAggregates
SELECT DISTINCT
Sex AS Category
,SexMin AS AgeMin
,SexAvg AS AgeAvg
,SexMax AS AgeMax
FROM
#ResultsTable
UNION ALL
SELECT DISTINCT
School AS Category
,SchMin AS AgeMin
,SchAvg AS AgeAvg
,SchMax AS AgeMax
FROM
#ResultsTable
Output:
CategoryAgeMinAgeAvgAgeMax
Female2732.5040
Male1820.2022
Polytechnic2228.3332
Thomasville1824.3340