Administrative Boundaries Datasets
Comprehensive datasets of all available administrative boundaries in Portugal. Ideal for detailed mapping and regional analysis.
Gain a detailed understanding of income distribution across Portugal with Geolocet’s Freguesia-Level Income Dataset (2024) — a powerful resource for assessing purchasing power and socioeconomic potential at the highest available spatial resolution.
This dataset provides comprehensive estimates of average personal and household income for all freguesias (civil parishes) in Portugal, supporting data-driven decisions in market analysis, retail planning, investment strategy, and public policy design.
Modelled using official data from Statistics Portugal (Instituto Nacional de Estatística – INE) and Geolocet’s proprietary modelling techniques, the dataset offers reliable, geographically consistent income estimates for more than 3,000 freguesia zones nationwide.
The dataset is based on official socioeconomic and geographic data from Statistics Portugal (INE) and other public Portuguese sources.
Geolocet applies robust spatial techniques to estimate income indicators at the freguesia level, ensuring comprehensive and consistent coverage across the country.
By combining trusted official data with advanced geospatial methods, this dataset delivers a credible, ready-to-use income layer for strategic and analytical applications.
We specialise in creating granular, high-quality geospatial datasets tailored to business needs. Our income indicators are regularly updated, quality-checked, and built to integrate seamlessly with other Geolocet products such as demographics, points of interest, and administrative boundaries.
Comprehensive datasets of all available administrative boundaries in Portugal. Ideal for detailed mapping and regional analysis.
Extensive collection of demographics data for various regions in Portugal. Essential for market research, planning, and socio-economic studies.
For broader insights and data offerings related to Portugal, including all available products and datasets, visit our dedicated page: 👉 Explore data for Portugal