This world cities layer presents the locations of many cities of the world, both major cities and many provincial capitals.Population estimates are provided for those cities listed in open source data from the United Nations and US Census.

A large number of European cities are covered by this dataset; for each city you can find one or more Cartosat-1 ortho image products and one or more Euro-Maps 3D DSM tiles clipped to the extent of the ortho coverage. The Euro-Maps 3D DSM is a homogeneous, 5 m spaced Digital Surface Model semi-automatically derived from 2.5 m Cartosat-1 in-flight stereo data with a vertical accuracy of 10 m. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. The final product includes several pixel-based quality and traceability layers: The dsm layer (_dsm.tif) contains the elevation heights as a geocoded raster file The source layer (_src.tif) contains information about the data source for each height value/pixel The number layer (_num.tif) contains for each height value/pixel the number of IRS-P5 Cartosat-1 stereo pairs used for the generation of the DEM The quality layer (_qc.tif) is set to 1 for each height/pixel value derived from IRS-P5 Cartosat-1 data and which meets or exceeds the product specifications The accuracy vertical layer (*_acv.tif) contains the absolute vertical accuracy for each quality controlled height value/pixel. The ortho image is a Panchromatic image at 2.5 m resolution. The following table defines the offered product types. EO-SIP product type Description PAN_PAM_3O IRS-P5 Cartosat-1 ortho image DSM_DEM_3D IRS-P5 Cartosat-1 DSM

Important Note: This item is in mature support as of June 2021.This map features a detailed topographic basemap for Europe built by Esri from a variety of publicly available and commercial data sources. The map has been updated recently with detailed data for several European cities.This map is part of the World Topographic Map, which is one of the featured community basemaps hosted by Esri and built from data from many organizations in the ArcGIS user community. The detailed data for Europe currently included in the map comes from a variety of public and commercial sources, including the United Nations Food and Agriculture Organization, U.S. Geological Survey, DeLorme, Tele Atlas, and Intermap.Esri would like to enhance the quality and detail of the map data for Europe by working with various national mapping agencies and other local government agencies through the Community Maps Program. If you have detailed data for your area that you wouuld like to see published in this community basemap, please visit us at www.esri.com/communitymaps or contact your local Esri office to get started.

Cities are major drivers of environmental change at all scales and are especially at risk from the ensuing effects, which include poor air quality, flooding and heat waves. Typically, these issues are studied on a city-by-city basis owing to the spatial complexity of built landscapes, local topography and emission patterns. However, to ensure knowledge sharing and to integrate local-scale processes with regional and global scale modelling initiatives, there is a pressing need for a world-wide database on cities that is suited for environmental studies. In this paper we present a European database that has a particular focus on characterising urbanised landscapes. It has been derived using tools and techniques developed as part of the World Urban Database and Access Portal Tools (WUDAPT) project, which has the goal of acquiring and disseminating climate-relevant information on cities worldwide. The European map is the first major step toward creating a global database on cities that can be integrated with existing topographic and natural land-cover databases to support modelling initiatives.

This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

ESA, in collaboration with European Space Imaging, has collected this WorldView-2 dataset covering the most populated areas in Europe at 40 cm resolution. The products have been acquired between July 2010 and July 2015. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service.

This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

Our Europe Zip Code Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas for numerous European countries. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Geneva stands out as Europe's most expensive city for apartment purchases in early 2025, with prices reaching a staggering 15,720 euros per square meter. This Swiss city's real estate market dwarfs even high-cost locations like Zurich and London, highlighting the extreme disparities in housing affordability across the continent. The stark contrast between Geneva and more affordable cities like Nantes, France, where the price was 3,700 euros per square meter, underscores the complex factors influencing urban property markets in Europe. Rental market dynamics and affordability challenges While purchase prices vary widely, rental markets across Europe also show significant differences. London maintained its position as the continent's priciest city for apartment rentals in 2023, with the average monthly costs for a rental apartment amounting to 36.1 euros per square meter. This figure is double the rent in Lisbon, Portugal or Madrid, Spain, and substantially higher than in other major capitals like Paris and Berlin. The disparity in rental costs reflects broader economic trends, housing policies, and the intricate balance of supply and demand in urban centers. Economic factors influencing housing costs The European housing market is influenced by various economic factors, including inflation and energy costs. As of April 2025, the European Union's inflation rate stood at 2.4 percent, with significant variations among member states. Romania experienced the highest inflation at 4.9 percent, while France and Cyprus maintained lower rates. These economic pressures, coupled with rising energy costs, contribute to the overall cost of living and housing affordability across Europe. The volatility in electricity prices, particularly in countries like Italy where rates are projected to reach 153.83 euros per megawatt hour by February 2025, further impacts housing-related expenses for both homeowners and renters.

The two files contains respectively a map of driving distances around major and minor cities in Europe. The distance is given by range of 5 km from 5 to 45 km in a resolution of 100m*100m. The encoding is uint8. The metropolitan areas considered in this study are those from this study of functional urban area definition. The corresponding geofile is available at this adress. Most of the cities with more than 50'000 habitants are included, some cities have been removed or added depending on the local context. As the geofile contains only polygones of the metropolitan areas and not the city point, the points form cities with the number of habitants have been dowloaded from Natural Data and then selected by comparison with the polygones. Cities with more than 20'000 have also been selected as commuting center for rural areas. Only the cities outside the metropolitan commuting zones are included. The calculation of driving distances around centers have been performed with OpenRouteService (personal API key required, free of charge).

This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

This dataset presents the refined version of the degree of urbanisation of European countries. The degree of urbanisation relies on a population grid to classify local units. Originally the classification system was developed for the European Statistical System to classify local units into three classes (level 1): cities, towns & suburbs, and rural areas. In this version the classification was further refined (level 2) to also identify smaller individual settlements; distinguishing towns from suburbs and identifying villages, dispersed areas and mostly uninhabited areas in former rural areas class. The final classes of the refined degree of urbanisation dataset are six, namely 1) cities, 2) towns, 3) suburbs, 4) villages, 5) dispersed rural areas and 6) mostly uninhabited areas. The temporal reference is set between 2011 and 2012 because of the main inputs, the GEOSTAT population grid 2011 and the European Settlement Map 2012 from Copernicus. IMPORTANT NOTE: This metadata has been created using draft documentation provided by the European Commission, DG REGIO. This dataset has been created by the European Commission, DG Regional and Urban Policy (REGIO) in cooperation with the Joint Research Centre (JRC). Re-distribution or re-use of this dataset is allowed provided that the source is acknowledged.

National Geographic's classic political map of Europe features country boundaries, thousands of place names, waterbodies, airports, major highways and roads, national parks, and much more. Includes the countries and major cities of Albania, Armenia, Austria, Azerbaijan, Belarus, Belgium, Bosnia & Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo, Latvia, Liechtenstein, Lithuania, Luxembourg, Macedonia, Moldova, Montenegro, The Netherlands, Norway, Poland, Portugal, Romania, Russia, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, Ukraine, and the United Kingdom.>> Order print map <<

Amsterdam is set to maintain its position as Europe's most expensive city for apartment rentals in 2025, with median costs reaching 2,500 euros per month for a furnished one-bedroom unit. This figure is double the rent in Prague and significantly higher than other major European capitals like Paris, Berlin, and Madrid. The stark difference in rental costs across European cities reflects broader economic trends, housing policies, and the complex interplay between supply and demand in urban centers. Factors driving rental costs across Europe The disparity in rental prices across European cities can be attributed to various factors. In countries like Switzerland, Germany, and Austria, a higher proportion of the population lives in rental housing. This trend contributes to increased demand and potentially higher living costs in these nations. Conversely, many Eastern and Southern European countries have homeownership rates exceeding 90 percent, which may help keep rental prices lower in those regions. Housing affordability and market dynamics The relationship between housing prices and rental rates varies significantly across Europe. As of 2024, countries like Turkey, Iceland, Portugal, and Hungary had the highest house price to rent ratio indices. This indicates a widening gap between property values and rental costs since 2015. The affordability of homeownership versus renting differs greatly among European nations, with some countries experiencing rapid increases in property values that outpace rental growth. These market dynamics influence rental costs and contribute to the diverse rental landscape observed across European cities.

Interactive Map Creation Tools Market Outlook

The global market size for Interactive Map Creation Tools was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 3.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 13.5% during the forecast period. The primary growth factors for this market include the increasing need for advanced geospatial data visualization, the rise of smart city initiatives, and the growing demand for real-time location-based services.

One of the key growth drivers is the increasing demand for geospatial analytics across various sectors such as urban planning, transportation, and environmental monitoring. As urbanization accelerates, city planners and government authorities are turning to interactive mapping tools to visualize complex data sets that help in making informed decisions. These tools assist in laying out city infrastructures, optimizing traffic routes, and planning emergency response strategies. The trend towards smart cities further amplifies the need for such sophisticated tools, which can handle dynamic and interactive data layers in real-time.

The transportation sector also finds significant utility in interactive map creation tools. With the surge in smart transportation projects globally, there is a mounting need to integrate real-time data into interactive maps for efficient route planning, traffic management, and logistics operations. Such tools not only aid in reducing congestion and travel times but also contribute to making transportation systems more sustainable. Additionally, interactive maps are becoming vital for managing fleets in logistics, enhancing the efficiency of delivery networks and reducing operational costs.

Environmental monitoring is another critical application area driving market growth. With increasing concerns about climate change and natural disasters, there is a heightened need for tools that can provide real-time environmental data. Interactive maps enable organizations to monitor various environmental parameters such as air quality, water levels, and wildlife movements effectively. These tools are instrumental in disaster management, helping authorities to visualize affected areas and coordinate relief operations efficiently.

Regionally, North America has been the dominant market for interactive map creation tools, driven by the high adoption of advanced technologies and significant investments in smart city projects. Europe follows closely, with countries like Germany and the UK leading the charge in urban planning and environmental monitoring initiatives. The Asia Pacific region is expected to witness the fastest growth, fueled by rapid urbanization and increasing investments in infrastructure development. Emerging economies in Latin America and the Middle East & Africa are also exploring these tools to address urbanization challenges and improve municipal services.

In addition to the regional growth dynamics, the emergence of Custom Digital Map Service is revolutionizing the way organizations approach geospatial data. These services offer tailor-made mapping solutions that cater to the unique needs of businesses and government agencies. By providing highly customizable maps, these services enable users to integrate specific data layers, adjust visual styles, and incorporate branding elements, thereby enhancing the utility and appeal of the maps. As the demand for personalized mapping solutions grows, Custom Digital Map Service is becoming a vital component in sectors such as urban planning, logistics, and tourism, where tailored insights can drive strategic decisions and improve operational efficiency.

Component Analysis

In the Interactive Map Creation Tools market, the component segment is divided into Software and Services. The Software segment comprises products such as GIS software, mapping platforms, and data visualization tools. This segment holds a significant share of the market, fueled by the rising need for sophisticated software solutions that can handle vast amounts of geospatial data. Advanced mapping software offers features like real-time data integration, multi-layer visualization, and high customization capabilities, making it an indispensable tool for various industries.

The increasing complexity

The high-precision map solutions market is experiencing significant growth, driven by the increasing demand for autonomous driving, advanced driver-assistance systems (ADAS), and precise urban planning. The market, currently estimated at $2 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This robust growth is fueled by several key factors. The automotive industry's heavy investment in autonomous vehicle technology is a major catalyst, requiring highly accurate and detailed maps for safe and efficient navigation. Furthermore, the burgeoning smart city initiatives worldwide necessitate precise mapping solutions for infrastructure management, traffic optimization, and emergency response systems. The market's segmentation into static, dynamic, and real-time maps caters to diverse application needs, each segment contributing to the overall market expansion. Static maps provide a foundational layer, while dynamic and real-time maps offer enhanced accuracy and responsiveness for applications requiring up-to-the-minute data. The key players in this market, including Albedo, Blackshark.ai, Skycatch, Inc., Momenta, Navmii, CivilMaps, Hyperspec AI, EyeVi Technologies, Red Leader Technologies, Inc., and DeepMap, are continuously innovating to improve map accuracy, data acquisition techniques, and data processing capabilities. Competition is intensifying, leading to increased investment in research and development, resulting in more sophisticated and cost-effective solutions. While data security and privacy concerns pose potential restraints, ongoing advancements in data encryption and anonymization techniques are mitigating these risks. Geographic expansion, particularly in developing economies with rapidly growing urban populations, presents significant opportunities for market growth. The diverse range of applications across various sectors, coupled with continuous technological advancements, points towards a promising future for the high-precision map solutions market.

Russia is the largest country in Europe, and also the largest in the world, its total size amounting to 17 million square kilometers (km2). It should be noted, however, that over three quarters of Russia is located in Asia, and the Ural mountains are often viewed as the meeting point of the two continents in Russia; nonetheless, European Russia is still significantly larger than any other European country. Ukraine, the second largest country on the continent, is only 603,000 km2, making it about 28 times smaller than its eastern neighbor, or seven times smaller than the European part of Russia. France is the third largest country in Europe, but the largest in the European Union. The Vatican City, often referred to as the Holy Sea, is both the smallest country in Europe and in the world, at just one km2. Population Russia is also the most populous country in Europe. It has around 144 million inhabitants across the country; in this case, around three quarters of the population live in the European part, which still gives it the largest population in Europe. Despite having the largest population, Russia is a very sparsely populated country due to its size and the harsh winters. Germany is the second most populous country in Europe, with 83 million inhabitants, while the Vatican has the smallest population. Worldwide, India and China are the most populous countries, with approximately 1.4 billion inhabitants each. Cities Moscow in Russia is ranked as the most populous city in Europe with around 13 million inhabitants, although figures vary, due to differences in the methodologies used by countries and sources. Some statistics include Istanbul in Turkey* as the largest city in Europe with its 15 million inhabitants, bit it has been excluded here as most of the country and parts of the city is located in Asia. Worldwide, Tokyo is the most populous city, with Jakarta the second largest and Delhi the third.

Note: updates to this beta layer are currently paused while we sync new versions of the OSM layers for Europe.This feature layer provides access to OpenStreetMap (OSM) point of interest (POI) data for Europe, which is updated every 1-2 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes POI features defined as a query against the hosted feature layer for amenity, shop, and tourism, features (e.g. amenity is not blank or shop is not blank or tourism is not blank).In OSM, an amenity is a useful and important facility for visitors and residents, such as places of worship or school, and a shop is a place selling retail products or services, such as a supermarket or florist. Tourism features are places and things of specific interest to tourists including places to see, places to stay, things and places providing information and support to tourists. These features are identified with an amenity tag, shop tag, or tourism tag.Zoom in to large scales (e.g. Cities level or 1:160k scale) to see the POI features display. You can click on the feature to get the name of the POI. The name of the POI will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this POI layer displaying just one or two types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. amenity is bar or shop is alcohol), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers that are ready to use, but not for every type of POI.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

his web map provides a detailed vector basemap for the world symbolized with a classic Esri topographic map style including vector contours and vector hillshade for added context. The web map is very similar in content and style to the popular World Topographic Map, which was delivered as a tile layer with raster fused map cache. This map includes a vector tile layer that provides unique capabilities for customization and high-resolution display. This map includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, administrative boundaries, and shaded relief for added context. The layers in this map are built using the same data sources used for the World Topographic Map and other Esri vector basemaps. The tile layer contains a multisource map style. This map includes vector contour lines and vector hillshade. Even though there are three source paths in the layer's json, these are referenced from a single vector tile layer in this web map. The root.json style file calls three vector Hosted Tile Layers to display all the data in the map. One source (esri) contains all the basemap tiles for this layer. The other source (contours) contains all the contour lines. The third source (hillshade) contains all the relief tiles. Note: the vector World Hillshade layer is in beta and includes global coverage to ~1:72K. In North America and Europe the relief is displayed to full resolution at the largest scales. Use the Map Viewer (not Classic) to view all the features in this layer as intended.