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MBI Sociodemographic Data for Spain – Sample

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https://marketplace.databricks.com/details/287489bf-2490-4b62-9e9a-181a8574b39e/Michael-Bauer-International-GmbH-–-MBI-Geodata_MBI-Sociodemographic-Data-for-Spain-–-Sample
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[MBI](https://www.mbi-geodata.com/en/)'s sociodemographic data is available for many countries worldwide. All data comes from a single source, ensuring **consistency and comparability** across markets. The Sociodemographics-Bundle Basic for Spain includes the following **variables**: - [population](https://www.mbi-geodata.com/en/sociodemographic-data/population/) - [gender](https://www.mbi-geodata.com/en/sociodemographic-data/sex-gender/) - [age structure](https://www.mbi-geodata.com/en/sociodemographic-data/agebands/) (15-year age bands) - household figures ([number of households](https://www.mbi-geodata.com/en/sociodemographic-data/households/) and [households by type](https://www.mbi-geodata.com/en/sociodemographic-data/households-by-type/)) Our sociodemographic data is offered for each country on different **levels**: - **Postal Code Level:** This fine-grained level of detail makes the data suitable for a wide range of applications – for example, enriching customer databases, which are often organized by postal code. - **Administrative Level:** Covers both larger administrative areas (e.g., regions, states, provinces) as well as finer subdivisions such as districts, counties, or municipalities. - **Micro Level**: Subdivisions of postal code or administrative boundaries, such as census areas or street segments. This is the most granular level for local analysis. **Please note:** The dataset available for free download is a **sample dataset** covering a limited number of geographic areas. If you wish to access the full dataset (covering all areas) or if you require additional variables or geographic levels, please contact us. We will be happy to help you find a product that fits your needs. **Additional Insights**: https://www.mbi-geodata.com/en/sociodemographic-data/ **Data Structure**: AGE_F0014: Population (Nighttime) by age: 0 - 14 years, female AGE_F1529: Population (Nighttime) by age: 15 - 29 years, female AGE_F3044: Population (Nighttime) by age: 30 - 44 years, female AGE_F4559: Population (Nighttime) by age: 45 - 59 years, female AGE_F60PL: Population (Nighttime) by age: 60 years and above, female AGE_M0014: Population (Nighttime) by age: 0 - 14 years, male AGE_M1529: Population (Nighttime) by age: 15 - 29 years, male AGE_M3044: Population (Nighttime) by age: 30 - 44 years, male AGE_M4559: Population (Nighttime) by age: 45 - 59 years, male AGE_M60PL: Population (Nighttime) by age: 60 years and above, male AGE_T0014: Population (Nighttime) by age: 0 - 14 years, total AGE_T1529: Population (Nighttime) by age: 15 - 29 years, male AGE_T3044: Population (Nighttime) by age: 30 - 44 years, total AGE_T4559: Population (Nighttime) by age: 45 - 59 years, total AGE_T60PL: Population (Nighttime) by age: 60 years and above, total CTRYCODE: Two digit country code by ISO 3166 FEMALE: Population (Nighttime): females HH_SIZE: Average household size HH_T: Households: total number MALE: Population (Nighttime): males NAME: Name of administrative area / Name of the most populous administrative area / Name of the respective micro-area or the next higher level ADMINCODE / POSTCODE / MICROCODE Administrative code / Postal code / Micro-code P_PRM: Population (Nighttime) year average: per mill of country P_T: Population (Nighttime) year average: total number
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Michael Bauer International GmbH – MBI Geodata
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