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covered_emp.sql
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501 lines (473 loc) · 39.9 KB
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USE Elmer
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
/* Step 1. Prepare inventory table imported into Sockeye */
UPDATE Sandbox.Mike.ili20231221 SET Shape = Shape.MakeValid();
EXEC sp_rename 'Mike.ili20231221.ind_catego', 'ind_type', 'COLUMN'
CREATE SPATIAL INDEX ili20231221_sidx ON Sandbox.Mike.ili20231221(Shape) USING GEOMETRY_AUTO_GRID
WITH (BOUNDING_BOX = (xmin = 1098600, ymin = -93400, xmax = 1611500, ymax = 476100));
/* Step 2. Create and populate spatial correspondence table */
-- This enables later queries to be much faster (instead of being spatial queries)
DROP TABLE IF EXISTS Sandbox.Mike.industrial_lands_workplaces;
GO
CREATE TABLE Sandbox.Mike.industrial_lands_workplaces(workplace_location_id bigint, ind_type nvarchar(50));
GO
TRUNCATE TABLE Sandbox.Mike.industrial_lands_workplaces;
GO
INSERT INTO Sandbox.Mike.industrial_lands_workplaces(workplace_location_id, ind_type)
SELECT wl.workplace_location_id, ili.ind_type
FROM employment.workplace_location_dims AS wl JOIN Sandbox.Mike.ili20231221 AS ili ON wl.Shape.STIntersects(ili.Shape)=1
GROUP BY wl.workplace_location_id, ili.ind_type;
GO
/* Step 3. QC Check */
SELECT * FROM Sandbox.Mike.industrial_lands_workplaces WHERE ind_type IS NULL;
/* Step 4. Execute individual queries (export resultsets to spreadsheet) */
--Employment breakdown, Manufacturing-Industrial Group x Land Status
WITH cte AS (
SELECT wf.data_year,
CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' WHEN ili.ind_type='Limited Industrial' THEN 'Limited Industrial' ELSE 'Not Industrial' END AS Industrial_Land_Status ,
i.manuf_industrial_group ,
CASE WHEN i.manuf_industrial_group='z Non-Industrial' THEN 'Non-Industrial' ELSE 'Industrial' END AS IndustrialJob ,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2021,2022)
GROUP BY wf.data_year,
CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' WHEN ili.ind_type='Limited Industrial' THEN 'Limited Industrial' ELSE 'Not Industrial' END,
CASE WHEN i.manuf_industrial_group='z Non-Industrial' THEN 'Non-Industrial' ELSE 'Industrial' END, i.manuf_industrial_group
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT (max(emp_covered) FOR data_year IN([2005],[2010],[2015],[2020],[2021],[2022])) AS p)
SELECT * from cte2 ORDER BY Industrial_Land_Status, manuf_industrial_group;
--Totals by Land Status
WITH cte AS (
SELECT wf.data_year,
CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' WHEN ili.ind_type='Limited Industrial' THEN 'Limited Industrial' ELSE 'Not Industrial' END AS Industrial_Land_Status ,
CASE WHEN i.manuf_industrial_group='z Non-Industrial' THEN 'Non-Industrial' ELSE 'Industrial' END AS IndustrialJob ,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2021,2022)
GROUP BY CUBE(wf.data_year,
CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' WHEN ili.ind_type='Limited Industrial' THEN 'Limited Industrial' ELSE 'Not Industrial' END,
CASE WHEN i.manuf_industrial_group='z Non-Industrial' THEN 'Non-Industrial' ELSE 'Industrial' END)
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT (max(emp_covered) FOR data_year IN([2005],[2010],[2015],[2020],[2021],[2022])) AS p)
SELECT * from cte2 WHERE IndustrialJob <> 'Non-Industrial' OR IndustrialJob IS NULL ORDER BY Industrial_Land_Status;
--Totals by Manufacturing-Industrial Group
WITH cte AS (
SELECT wf.data_year,
i.manuf_industrial_group ,
CASE WHEN i.manuf_industrial_group='z Non-Industrial' THEN 'Non-Industrial' ELSE 'Industrial' END AS IndustrialJob ,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2021,2022)
GROUP BY wf.data_year, i.manuf_industrial_group
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT (max(emp_covered) FOR data_year IN([2005],[2010],[2015],[2020],[2021],[2022])) AS p)
SELECT * from cte2 ORDER BY manuf_industrial_group;
--Employment breakdown, Manufacturing-Industrial Detail x Land Status
WITH cte AS (
SELECT wf.data_year, CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' ELSE 'Limited or Not Industrial' END AS Industrial_Land_Status ,
i.manuf_industrial_group ,i.manuf_industrial_detail,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2021,2022)
GROUP BY wf.data_year, CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' ELSE 'Limited or Not Industrial' END,
i.manuf_industrial_group ,i.manuf_industrial_detail
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT (max(emp_covered) FOR data_year IN([2005],[2010],[2015],[2020],[2021],[2022])) AS p)
SELECT * from cte2 ORDER BY Industrial_Land_Status, manuf_industrial_group, manuf_industrial_detail;
--Totals, Manufacturing-Industrial Detail
WITH cte AS (
SELECT wf.data_year, i.manuf_industrial_group ,i.manuf_industrial_detail,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2021,2022)
GROUP BY wf.data_year, i.manuf_industrial_group ,i.manuf_industrial_detail
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT (max(emp_covered) FOR data_year IN([2005],[2010],[2015],[2020],[2021],[2022])) AS p)
SELECT * from cte2 ORDER BY manuf_industrial_group, manuf_industrial_detail;
--Industrial job totals, Land Status
WITH cte AS (
SELECT wf.data_year, CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' ELSE 'Limited or Not Industrial' END AS Industrial_Land_Status ,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2021,2022) AND i.manuf_industrial_group<>'z Non-industrial'
GROUP BY wf.data_year, CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' ELSE 'Limited or Not Industrial' END
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT (max(emp_covered) FOR data_year IN([2005],[2010],[2015],[2020],[2021],[2022])) AS p)
SELECT * from cte2 ORDER BY Industrial_Land_Status;
--Employment breakdown, Manufacturing group x Land Status x County
WITH cte AS (
SELECT CONCAT(wl.county_id,',',wf.data_year) AS header /*wf.data_year*/,CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' WHEN ili.ind_type='Limited Industrial' THEN 'Limited Industrial' ELSE 'Not Industrial' END AS Industrial_Land_Status,
i.manuf_industrial_group ,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2022)
GROUP BY wf.data_year,wl.county_id , CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' WHEN ili.ind_type='Limited Industrial' THEN 'Limited Industrial' ELSE 'Not Industrial' END, i.manuf_industrial_group
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
--FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p
FOR header
IN([33,2005], [33,2010], [33,2015], [33,2020], [33,2022],
[35,2005], [35,2010], [35,2015], [35,2020], [35,2022],
[53,2005], [53,2010], [53,2015], [53,2020], [53,2022],
[61,2005], [61,2010], [61,2015], [61,2020], [61,2022])) AS p
)
SELECT * from cte2 ORDER BY Industrial_Land_Status, manuf_industrial_group;
--Totals, Manufacturing-Industrial Group x County
WITH cte AS (
SELECT CONCAT(wl.county_id,',',wf.data_year) AS header, i.manuf_industrial_group ,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2022)
GROUP BY wf.data_year, wl.county_id, i.manuf_industrial_group
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
--FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p
FOR header
IN([33,2005], [33,2010], [33,2015], [33,2020], [33,2022],
[35,2005], [35,2010], [35,2015], [35,2020], [35,2022],
[53,2005], [53,2010], [53,2015], [53,2020], [53,2022],
[61,2005], [61,2010], [61,2015], [61,2020], [61,2022])) AS p
)
SELECT * from cte2 ORDER BY manuf_industrial_group;
--Industrial job totals, Land Status x County
WITH cte AS (
SELECT CONCAT(wl.county_id,',',wf.data_year) AS header /*wf.data_year*/,CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' WHEN ili.ind_type='Limited Industrial' THEN 'Limited Industrial' ELSE 'Not Industrial' END AS Industrial_Land_Status,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2022) AND i.manuf_industrial_group<>'z Non-industrial'
GROUP BY wf.data_year,wl.county_id , CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' WHEN ili.ind_type='Limited Industrial' THEN 'Limited Industrial' ELSE 'Not Industrial' END
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
--FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p
FOR header
IN([33,2005], [33,2010], [33,2015], [33,2020], [33,2022],
[35,2005], [35,2010], [35,2015], [35,2020], [35,2022],
[53,2005], [53,2010], [53,2015], [53,2020], [53,2022],
[61,2005], [61,2010], [61,2015], [61,2020], [61,2022])) AS p
)
SELECT * from cte2 ORDER BY Industrial_Land_Status;
--Totals, Land Status x County
WITH cte AS (
SELECT CONCAT(wl.county_id,',',wf.data_year) AS header /*wf.data_year*/,CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' WHEN ili.ind_type='Limited Industrial' THEN 'Limited Industrial' ELSE 'Not Industrial' END AS Industrial_Land_Status,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2022)
GROUP BY wf.data_year,wl.county_id , CASE WHEN ili.ind_type <>'Limited Industrial' AND ili.ind_type IS NOT NULL THEN 'Industrial' WHEN ili.ind_type='Limited Industrial' THEN 'Limited Industrial' ELSE 'Not Industrial' END
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
--FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p
FOR header
IN([33,2005], [33,2010], [33,2015], [33,2020], [33,2022],
[35,2005], [35,2010], [35,2015], [35,2020], [35,2022],
[53,2005], [53,2010], [53,2015], [53,2020], [53,2022],
[61,2005], [61,2010], [61,2015], [61,2020], [61,2022])) AS p
)
SELECT * from cte2 ORDER BY Industrial_Land_Status;
--Totals, County
WITH cte AS (
SELECT CONCAT(wl.county_id,',',wf.data_year) AS header,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2022)
GROUP BY wf.data_year, wl.county_id
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
--FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p
FOR header
IN([33,2005], [33,2010], [33,2015], [33,2020], [33,2022],
[35,2005], [35,2010], [35,2015], [35,2020], [35,2022],
[53,2005], [53,2010], [53,2015], [53,2020], [53,2022],
[61,2005], [61,2010], [61,2015], [61,2020], [61,2022])) AS p
)
SELECT * from cte2
SELECT CONCAT(C.c,'-',Y.y) AS headers FROM (VALUES (2005),(2010),(2015),(2020),(2022)) AS Y(y) JOIN (VALUES (33),(35),(53),(61)) AS C(c) ON 1=1;
--Employment breakdown, Jobtype (Industrial or not) x Industrial Land Category
with cte AS(
SELECT CONCAT(wl.county_id,',',wf.data_year) AS header,--*/ wf.data_year,
CASE WHEN ili.ind_type IN('Aviation Operations','Military Industrial') THEN 'Core Industrial'
WHEN ili.ind_type IS NOT NULL THEN ili.ind_type ELSE 'Other' END AS ind_type,
CASE WHEN i.manuf_industrial_group='z Non-industrial' THEN 'Non-Industrial' ELSE 'Industrial' END AS IndjobYN,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2022) AND ili.workplace_location_id IS NOT NULL AND ili.ind_type<>'Limited Industrial'
GROUP BY wf.data_year, wl.county_id,
CASE WHEN ili.ind_type IN('Aviation Operations','Military Industrial') THEN 'Core Industrial'
WHEN ili.ind_type IS NOT NULL THEN ili.ind_type ELSE 'Other' END,
CASE WHEN i.manuf_industrial_group='z Non-industrial' THEN 'Non-Industrial' ELSE 'Industrial' END
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
--FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p
FOR header
IN([33,2005], [33,2010], [33,2015], [33,2020], [33,2022],
[35,2005], [35,2010], [35,2015], [35,2020], [35,2022],
[53,2005], [53,2010], [53,2015], [53,2020], [53,2022],
[61,2005], [61,2010], [61,2015], [61,2020], [61,2022])) AS p
)
SELECT * from cte2 ORDER BY ind_type, IndjobYN;
--Regional totals, Jobtype (Industrial or not) x Industrial Land Category
with cte AS(
SELECT wf.data_year,
CASE WHEN ili.ind_type IN('Aviation Operations','Military Industrial') THEN 'Core Industrial'
WHEN ili.ind_type IS NOT NULL THEN ili.ind_type ELSE 'Other' END AS ind_type,
CASE WHEN i.manuf_industrial_group='z Non-industrial' THEN 'Non-Industrial' ELSE 'Industrial' END AS IndjobYN,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2022) AND ili.workplace_location_id IS NOT NULL AND ili.ind_type<>'Limited Industrial'
GROUP BY wf.data_year,
CASE WHEN ili.ind_type IN('Aviation Operations','Military Industrial') THEN 'Core Industrial'
WHEN ili.ind_type IS NOT NULL THEN ili.ind_type ELSE 'Other' END,
CASE WHEN i.manuf_industrial_group='z Non-industrial' THEN 'Non-Industrial' ELSE 'Industrial' END
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p
)
SELECT * from cte2 ORDER BY ind_type, IndjobYN;
--Regional totals, Industrial Land Category
with cte AS(
SELECT wf.data_year,
CASE WHEN ili.ind_type IN('Aviation Operations','Military Industrial') THEN 'Core Industrial'
WHEN ili.ind_type IS NOT NULL THEN ili.ind_type ELSE 'Other' END AS ind_type,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2022) AND ili.workplace_location_id IS NOT NULL AND ili.ind_type<>'Limited Industrial'
GROUP BY wf.data_year,
CASE WHEN ili.ind_type IN('Aviation Operations','Military Industrial') THEN 'Core Industrial'
WHEN ili.ind_type IS NOT NULL THEN ili.ind_type ELSE 'Other' END
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p
)
SELECT * from cte2 ORDER BY ind_type;
--Total, Industrial Land Category
with cte AS(
SELECT CONCAT(wl.county_id,',',wf.data_year) AS header,--*/ wf.data_year,
CASE WHEN ili.ind_type IN('Aviation Operations','Military Industrial') THEN 'Core Industrial'
WHEN ili.ind_type IS NOT NULL THEN ili.ind_type ELSE 'Other' END AS ind_type,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2022) AND ili.workplace_location_id IS NOT NULL AND ili.ind_type<>'Limited Industrial'
GROUP BY wf.data_year, wl.county_id,
CASE WHEN ili.ind_type IN('Aviation Operations','Military Industrial') THEN 'Core Industrial'
WHEN ili.ind_type IS NOT NULL THEN ili.ind_type ELSE 'Other' END
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
--FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p
FOR header
IN([33,2005], [33,2010], [33,2015], [33,2020], [33,2022],
[35,2005], [35,2010], [35,2015], [35,2020], [35,2022],
[53,2005], [53,2010], [53,2015], [53,2020], [53,2022],
[61,2005], [61,2010], [61,2015], [61,2020], [61,2022])) AS p
)
SELECT * from cte2 ORDER BY ind_type;
--Employment breakdown, MIC x Industrial Group
WITH cte AS(
SELECT wf.data_year,wl.mic ,i.manuf_industrial_group, CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2021,2022) AND wl.mic <>''
GROUP BY CUBE(wf.data_year,wl.mic ,i.manuf_industrial_group)
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p)
SELECT * from cte2 ORDER BY mic, manuf_industrial_group;
--Industrial job total, MIC
WITH cte AS(
SELECT wf.data_year, wl.mic, CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2021,2022) AND wl.mic <>'' AND i.manuf_industrial_group<>'z Non-industrial'
GROUP BY wf.data_year,wl.mic
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p)
SELECT * from cte2 ORDER BY mic;
--Regional totals, MIC x Industrial Group
WITH cte AS(
SELECT wf.data_year,i.manuf_industrial_group, CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2021,2022) AND wl.mic <>''
GROUP BY CUBE(wf.data_year, i.manuf_industrial_group)
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p)
SELECT * from cte2 ORDER BY manuf_industrial_group;
WITH cte AS(
SELECT wf.data_year, CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered
FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2021,2022) AND wl.mic <>'' AND i.manuf_industrial_group<>'z Non-industrial'
GROUP BY wf.data_year
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p)
SELECT * from cte2;
--Employment breakdown, Industrial Land Category x Industrial Group
WITH cte AS (
SELECT wf.data_year, CASE WHEN ili.ind_type IN('Aviation Operations','Military Industrial') THEN 'Core Industrial'
WHEN ili.ind_type IS NOT NULL THEN ili.ind_type ELSE NULL END AS ind_type,
i.manuf_industrial_group,
CASE WHEN SUM(wf.jobcount_covered) < 0.4 THEN '0'
WHEN SUM(i.private_sector) = 0 THEN CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar)
WHEN SUM(i.private_sector) IN(1,2)
OR MAX(wf.jobcount_raw * i.private_sector) / SUM(wf.jobcount_raw * i.private_sector) > 0.8
OR SUM(wf.jobcount_raw * i.private_sector * (CASE WHEN wf.confid_firm_id = 0 THEN 0 ELSE 1 END)) / sum(wf.jobcount_raw * i.private_sector) > 0.8 THEN 'S'
ELSE
CAST(CAST(ROUND(SUM(wf.jobcount_covered),0) AS int) AS nvarchar) END AS emp_covered FROM employment.workplace_facts AS wf JOIN employment.industry_dims AS i ON wf.industry_id = i.industry_id
JOIN employment.workplace_location_dims AS wl ON wf.workplace_location_id = wl.workplace_location_id
LEFT JOIN Sandbox.Mike.industrial_lands_workplaces AS ili ON wl.workplace_location_id=ili.workplace_location_id
WHERE wf.data_year IN(2005,2010,2015,2020,2022)
GROUP BY wf.data_year, CASE WHEN ili.ind_type IN('Aviation Operations','Military Industrial') THEN 'Core Industrial'
WHEN ili.ind_type IS NOT NULL THEN ili.ind_type ELSE NULL END,
i.manuf_industrial_group
HAVING wf.data_year IS NOT NULL),
cte2 AS (SELECT * FROM cte PIVOT(max(emp_covered)
FOR data_year IN([2005],[2010],[2015],[2020],[2022])) AS p)
SELECT * from cte2 ORDER BY ind_type, manuf_industrial_group;