| Style | Dark Blue |
|---|---|
| Formats | AI (CS4), PDF (v1.5), PNG (150 DPI) PNG Print |
| Dimensions | 71.6 x 82.9 cm (28.2″ x 32.6″) 4257 x 4932 px 71.6 x 82.9 cm (28.2″ x 32.6″) |
| Scale | 1:20.000 |
| Coordinates | 53° 35' 15'' N | 9° 59' 36'' E |
| Projection | Transverse Mercator (ETRS89 / UTM zone 32N) |
| Layers | Administrative Boundaries, Aeroways, Area Features, Background, Buildings, Landuse/Natural Areas, Line Features, Railroads, Roads, Roads\Railroads Tunnels, Water Areas, Water Lines None Administrative Boundaries, Aeroways, Area Features, Background, Buildings, Landuse/Natural Areas, Line Features, Railroads, Roads, Roads\Railroads Tunnels, Water Areas, Water Lines |
| Fonts | Arial |
| Data Sources | OpenStreetMap |
| Package Size | 35.67 MB 5.35 MB N/A |
| Date Created | 2024-01-27 |
| Places | Cities: Villages: Neighbourhoods: Karolinenviertel, Moldauhafenquartier, Pergolenviertel-Nord, Pergolenviertel-Süd, Portugiesenviertel, Quartier 21, Quartier Am Lohsepark, Quartier Am Sandtorkai/Dalmannkai, Quartier Am Sandtorpark/Grasbrook, Quartier Baakenhafen, Quartier Brooktorkai/Ericus, Quartier Elbbrücken, Quartier Elbtorquartier, Quartier Oberhafen, Quartier Strandkai, Quartier Überseequartier Suburbs: Alsterdorf, Altona, Altona-Altstadt, Altona-Nord, Bahrenfeld, Barmbek-Nord, Barmbek-Süd, Billbrook, Borgfelde, Bramfeld, Dulsberg, Eidelstedt, Eilbek, Eimsbüttel, Eppendorf, Fuhlsbüttel, Groß Borstel, HafenCity, Hamm, Hammerbrook, Harvestehude, Hoheluft-Ost, Hoheluft-West, Hohenfelde, Horn, Hummelsbüttel, Kleiner Grasbrook, Lokstedt, Marienthal, Neustadt, Niendorf, Ohlsdorf, Othmarschen, Ottensen, Poppenbüttel, Rothenburgsort, Rotherbaum, Schnelsen, St. Georg, St. Pauli, Steilshoop, Steinwerder, Stellingen, Sternschanze, Uhlenhorst, Veddel, Waltershof, Wandsbek, Wellingsbüttel, Winterhude Hamlets: Hinschenfelde show more... |
Hamburg Vector Map
Dark Blue, 1:20.000
From 10.00 €
bodies, railroads, highways, and buildings, among others. It serves as an ideal data source for large-scale mapping projects. The data is organized into layered feature groups (e.g., Buildings -> Accommodation, Commercial, etc.), allowing for easy customization and tailored use....
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This vector map is built from high-quality, openly licensed data sources to ensure accuracy and usability:
Note: Some data sources require attribution. See license options and attribution for more details.






