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Description
Netherlands Provinces GIS Boundaries (Shapefile & GeoPackage) with 2025 Population DataAbout the Netherlands Provinces Boundary Dataset Download Netherlands Provinces GIS map boundaries (Shapefile & GPKG). Includes 2025 population data. This detailed geographic dataset provides accurate administrative boundaries designed for spatial analysis, territory mapping, and geodemographic routing. Key Features & Sources Coverage: Netherlands (Provinces) Data Formats Included: ESRI Shapefile (. shp) and GeoPackage (. gpkg) Geometry Source: High
About the Netherlands Provinces Boundary Dataset
Download Netherlands Provinces GIS map boundaries (Shapefile & GPKG). Includes 2025 population data. This detailed geographic dataset provides accurate administrative boundaries designed for spatial analysis, territory mapping, and geodemographic routing.
Key Features & Sources
- Coverage: Netherlands (Provinces)
- Data Formats Included: ESRI Shapefile (.shp) and GeoPackage (.gpkg)
- Geometry Source: High-precision polygon boundaries derived from OpenStreetMap (OSM).
- Ready to Use: Compatible with QGIS, ArcGIS, MapInfo, and other major GIS platforms.
- Demographic Integration: Includes 2025 population statistics sourced natively from the Statistics Netherlands (CBS).
Related datasets and resources
- Administrative boundaries and full polygon dataset for Netherlands: High-precision, ready-to-download boundary polygons covering all administrative levels — ideal for geospatial mapping, territorial analysis, and data enrichment.
- Demographics dataset for Netherlands: Base demographics data (total population, age, and gender) - free sample available. Get in touch at [email protected] for additional attributes or more granular data.
- Income indicators dataset for Netherlands: 2024 household income data across all buurten (statistical sectors) in the Netherlands. It is ideal for socioeconomic analysis, market assessments, and location intelligence applications that require fine-grained data.
- Income distribution and socio-economic patterns in Netherlands — expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
- Explore a rich library of Netherlands-specific datasets on our dedicated country page: detailed demographics, high-resolution wealth and income indicators, multi-level administrative boundaries, and a broad spectrum of Points of Interest including major brands and retail locations — all designed to power market analysis, spatial planning, and location intelligence.
Data Structure & Sample Records
Below is a preview of the dataset's attribute fields to give you an overview of the data structure. Please note that the full dataset contains complete geographic features (geometry) and might have additional columns depending on the locale.
| id | name | name:en | name:de | name:fr | official_name | admin_level | boundary | parent_id | parent_name | population | area_km2 | pop_dens | geometry |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95545 | Zuid-Holland | South Holland | Südholland | Hollande-Méridionale | Zuid-Holland | 4 | administrative | 1 | Koninkrijk der Nederlanden | 3863397 | 3306.406368 | 1168 | polygon data |
| 94763 | Fryslân | Frisia | Friesland | Frise | Fryslân | 4 | administrative | 1 | Koninkrijk der Nederlanden | 664222 | 5753.162469 | 115 | polygon data |
| 95081 | Drenthe | Drenthe | Drente | Drenthe | Drenthe | 4 | administrative | 1 | Koninkrijk der Nederlanden | 506529 | 2679.997898 | 189 | polygon data |
| 94815 | Flevoland | Flevoland | Flevoland | Flevoland | Flevoland | 4 | administrative | 1 | Koninkrijk der Nederlanden | 456395 | 2412.469634 | 189 | polygon data |
| 95393 | Noord-Brabant | North Brabant | Nordbrabant | Brabant-Septentrional | Noord-Brabant | 4 | administrative | 1 | Koninkrijk der Nederlanden | 2664047 | 5081.524593 | 524 | polygon data |
Frequently Asked Questions
- What file formats are included in my download?
- Your download includes the administrative boundaries in both ESRI Shapefile (.shp) and GeoPackage (.gpkg) formats. If you need the data in alternative formats (such as GeoJSON, Excel, or PostgreSQL import files), please contact us at [email protected].
- What coordinate reference system (projection) is used?
- All boundary files are delivered in the standard WGS 84 (EPSG:4326) geographic coordinate system.
- What software can I use to open these files?
- The datasets are provided in standard geospatial formats and are fully compatible with all major GIS platforms, including QGIS, ArcGIS, MapInfo, as well as business intelligence tools like Tableau, Power BI, and spatial databases like PostGIS.
- Where is the boundary geometry sourced from?
- Our high-precision polygon boundaries are derived from reliable OpenStreetMap (OSM) data, ensuring they are accurate, up-to-date, and suitable for geospatial mapping and territorial analysis.
- Does this dataset include demographic data?
- Yes, this specific dataset integrates base demographics data (such as total population) natively sourced from official national statistical institutes. You can view the specific population vintage and source in the "Key Features" section above. For more granular demographic data (age, gender, households), please check out our detailed Geodemographics Datasets linked in the related resources.
- Can I upgrade to the full country hierarchy later?
- Absolutely! If you realize you need seamless drill-downs to other administrative levels, you can explore our All-in-One Administrative Boundaries package for Netherlands, which contains the complete hierarchy.
Need the data in another format?
We can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at [email protected].
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Reviewed in the United States on December 29, 2025