{"id":3879,"date":"2017-06-12T09:39:49","date_gmt":"2017-06-12T07:39:49","guid":{"rendered":"https:\/\/www.mbi-geodata.com\/en\/?page_id=3879"},"modified":"2018-02-22T10:11:36","modified_gmt":"2018-02-22T10:11:36","slug":"advanced-demographics","status":"publish","type":"page","link":"https:\/\/www.mbi-geodata.com\/p1\/sociodemographic-data\/advanced-demographics\/","title":{"rendered":"ADVANCED DEMOGRAPHICS"},"content":{"rendered":"
The first quintile represents the 20 % households having the lowest income (on a national level), the fifth quintile represents the 20 % households with the highest income (on a national level) in each area.<\/p>\n
The data Households by Income Quintiles comprises:<\/p>\n
Look it up in our WORLDWIDE DATA OFFERING<\/a><\/p>\n <\/div><\/div> Sample Spain on PC5 level: Education data<\/p>\n The data for Spain comprises: Data is country-specific. Look it up in our WORLDWIDE DATA OFFERING<\/a><\/p>\n <\/div><\/div> Sample France on community level: Households by Type<\/p>\n The data for France comprises: Data is country-specific. Look it up in our WORLDWIDE DATA OFFERING<\/a><\/p>\n <\/div><\/div> Sample Italy on micro level: Marital status<\/p>\n The data for Italy comprises: Data is country-specific. Look it up in our WORLDWIDE DATA OFFERING<\/a><\/p>\n <\/div><\/div><\/p>\n POSTCODE (ZIP) LEVEL<\/a> ADMINISTRATIVE AREA LEVEL SMALL AREA LEVELS (MICRO AREAS) The data can be supplied in the following formats which allow easy loading to most database platforms:<\/p>\n For those using desktop GIS systems we can deliver as well the matching AREA BOUNDARIES<\/a>.<\/p>\n In the following selection you will receive an overview of our worldwide data offering for the countries in the individual continents.<\/p>\n We have free sample (test) data<\/strong> available for most European countries. Please feel free to contact us should you have any questions or in the event that the data you are looking for is not listed here or if you need samples for any non-European country.<\/p>\n
\nEducation<\/h3>
\nEDU_1 Population 15 years and over: In education 15 -17
\nEDU_2 Population 15 years and over: In education 18+
\nEDU_3 Population 15 years and over: No school leaving certificate
\nEDU_4 Population 15 years and over: Primary education (CEP)
\nEDU_5 Population 15 years and over: Secondary education (BEPC)
\nEDU_6 Population 15 years and over: Vocational school certification (CAP BEP)
\nEDU_7 Population 15 years and over: High school diploma (BAC-BP)
\nEDU_8 Population 15 years and over: University degree (dipl\u00f4me de niveau sup\u00e9rieur court)<\/p>\n
\nHouseholds by Type<\/h3>
\nHouseholds by Type : Single men
\nHouseholds by Type : Single women
\nHouseholds by Type : other households
\nHouseholds by Type : family household – couple without children
\nHouseholds by Type : family household – couple with children
\nHouseholds by Type : family household – single parent <\/p>\n
\nMarital status<\/h3>
\nPopulation year average: total number
\nPopulation year average: per mill of country
\nMarital Status: single
\nMarital Status: married
\nMarital Status: divorced
\nMarital Status: widowed<\/p>\nON WHICH LEVEL IS THE DATA AVAILABLE?<\/h2>\n
\nWorldwide postal areas are geographic boundaries that define the geographic area for each postcode <\/p>\n
\n<\/a>Municipality boundaries plus the higher levels like provinces and state boundaries <\/p>\n
\n<\/a>Could be subdivisions of the postcode or administrative boundaries like census areas<\/p>\nSTANDARD DATA FORMATS<\/h2>\n
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STANDARD GIS FORMATS FOR OUR VECTOR BOUNDARIES<\/h2>\n
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