unemployment spain database

7/30/2019 Unemployment Spain Database

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ROBERTO MEDIERO MARTROYA OLYAZADEH


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A short Introduction

Final UML Diagram

The result of logicalDatabase model and SQLqueries

Screenshot of queries inGVsig


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To see which area of Spain has the more unemployment

To make comparison between different type of unemployment for young

and adult.

Try to find relation between population and different type ofemployment.


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Final UML Diagram


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Data

The data we found:

1. Shape file of spain and import it to

Pgadmin. 2. Table of population (Statistical on

web page of Spain )

3. Tables of unemployment fordiffrente sectors per province in Spain(web page of Instituto Nacional deEmpleo )


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1. Provinces with more than 2000 men older than 25years old unemployed in the agriculture sector in

Spain. 2. Percentage of unemployed population in each

province and classification of quantity ofunemployments.

3. View that shows the percentage of unemploymentof women who are more older than 25 years old inthe servicios sector.

Querries


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Provinces with more than 2000 mens olders than 25

years old unemployeds in the agriculture sector inSpain.

CREATE VIEW unmeplo_agri_menmore25 AS

SELECT province_name, men_more25, the_geom FROM agricultura a,esp_provincias es

WHERE a.province_name = es.nombre99 AND a.men_more25>2000;

INSERT INTO geometry_columns values ('', 'public','unmeplo_agri_menmore25','the_geom', 2, -1, 'MULTIPOLYGON');

One


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One


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Percentage of unemployed population in each province

and classification of quantity of unemployments.

CREATE VIEW percent_unemployment3 AS

select u.total, u.province_name, round((u.total/p.totalpop::numeric)*100)AS percent_unemployments, es.the_geom

FROM unemployments u, population p, esp_provincias es

WHERE u.province_name = p.province_name AND

p.province_name=es.nombre99;

INSERT INTO geometry_columns values ('', 'public',

'percent_unemployment3','the_geom', 2, -1, 'MULTIPOLYGON');

Two


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Two


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View that shows the percentage of unemployment of women

who are more than 25 years old limit by 10 in servicios sector.

CREATE VIEW percent_women_serv_unemploy AS Select s.province_name, s.women_more25,

round((s.women_more25/s.total::numeric)*100) ASpercent_womenUnemployment, es.the_geom

FROM servicios s, esp_provincias es WHERE s.province_name = es.nombre99 ORDER BY 3 DESC LIMIT 10;

INSERT INTO geometry_columns values ('', 'public','percent_women_serv_unemploy','the_geom', 2, -1, 'MULTIPOLYGON');

Three


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Three


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Conclussion


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We would need more data from employed peopleand also imigration to conclude for better result.

We can do more queries for finding theunemployment on each sector.

Recommendation

unemployment spain database

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