Netherlands cities list with latitude and longitude in Excel, CSV, XML, SQL, JSON formats

Last update : 05 December 2025.

Below is a list of 100 prominent cities in Netherlands. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 6738 places in Netherlands that you'll find in our World Cities Database. You're free to use the data below for personal or commercial applications. The data below can be downloaded in Excel (.xlsx), .csv, .json, .xml and .sql formats. Notable Cities: The capital of Netherlands is Amsterdam.

**Exploring the Netherlands: A Geographer's Perspective**

Introduction**

The Netherlands, often referred to as Holland, is a country renowned for its picturesque landscapes, innovative urban planning, and rich cultural heritage. As a geographer, delving into the geographical intricacies of the Netherlands offers a fascinating journey through its cities, regions, and unique geographical features. In this article, we embark on a quest to obtain data on the cities of the Netherlands, including their regions and departments, as well as the latitude and longitude coordinates of each city.

Unraveling the Dutch Urban Landscape**

The cities of the Netherlands are renowned for their iconic architecture, historic charm, and vibrant cultural scene. From the bustling streets of Amsterdam, the capital city, to the quaint canals of Utrecht and the modern skyline of Rotterdam, each urban center offers a distinct glimpse into Dutch life and identity. By obtaining data on the cities of the Netherlands, we gain insights into patterns of urbanization, population density, and economic activity across the country's diverse urban landscape.

Mapping Latitude and Longitude Coordinates**

The latitude and longitude coordinates of the Netherlands' cities provide essential spatial information for geographic analysis and cartographic representation. From the flat polders of Friesland to the rolling hills of Limburg, these coordinates delineate the geographic extent of each city and its relationship to the surrounding landscape. By mapping latitude and longitude data, geographers can visualize spatial patterns, analyze geographic trends, and identify areas of environmental significance for conservation and land use planning.

Exploring Dutch Regions and Departments**

The Netherlands is divided into twelve provinces, each with its own unique characteristics and cultural heritage. From the coastal provinces of Zeeland and South Holland to the inland provinces of Gelderland and Utrecht, the country's regions offer a diverse tapestry of landscapes, from dunes and beaches to forests and meadows. By obtaining data on the regions and departments of the Netherlands, geographers can delve into the spatial distribution of these environmental features and understand their implications for human settlement, agriculture, and natural resource management.

Challenges and Opportunities**

Despite its small size, the Netherlands faces a range of geographical challenges, from coastal erosion and sea level rise to land subsidence and urban sprawl. By obtaining data on the cities, regions, and departments of the Netherlands, geographers can contribute to evidence-based decision-making and policy formulation, addressing issues such as climate adaptation, water management, and spatial planning. By understanding the geographic context of these challenges, policymakers can develop more resilient strategies for enhancing the country's environmental sustainability and quality of life.

Conclusion**

In conclusion, the geography of the Netherlands offers a captivating blend of urban sophistication, natural beauty, and cultural diversity waiting to be explored and understood. By obtaining data on the cities, regions, and departments of the Netherlands, geographers can unravel the spatial dynamics and complexities that shape the Dutch landscape and way of life. As stewards of the Netherlands' geographical heritage, it is our responsibility to use this knowledge to inform decision-making, promote sustainable development, and preserve the natural and cultural heritage of this extraordinary country for future generations to cherish and enjoy.

Download data files for Netherlands's cities in Excel (.xlsx), CSV, SQL, XML and JSON formats

Mapping the Netherlands: A Geographer’s Approach to Understanding Cities and Regions

The Netherlands, renowned for its intricate canal systems, flat landscapes, and a history of innovative water management, presents a fascinating case study for geographers. With a population concentrated in its urban centers, particularly in the Randstad metropolitan area, the country’s geography is deeply intertwined with human activity and environmental concerns. From its fertile lowlands to its bustling port cities, understanding the geography of the Netherlands requires a detailed analysis of its cities, regions, and their respective administrative boundaries. Accurate geographic data on these areas is critical for assessing urbanization, infrastructure development, and environmental management, making it an invaluable resource for geographers and planners alike.

The Geographical and Administrative Divisions of the Netherlands

The Netherlands is divided into 12 provinces, each with its own administrative divisions. These provinces, including North Holland, South Holland, Friesland, and others, play a central role in shaping the country’s local governance and regional development. Within each province, cities are further divided into municipalities, and each municipality operates under a local government system. The major cities, such as Amsterdam, Rotterdam, The Hague, and Utrecht, act as the hubs for economic, cultural, and political life, while the surrounding rural areas offer a contrast with their agricultural and industrial activities.

The flat geography of the Netherlands is characterized by extensive polders and reclaimed land from the sea, as well as a dense network of rivers and canals that have historically influenced settlement patterns. While most of the population is concentrated in urban areas, the country’s rural regions also have distinctive features, from the lush fields of the countryside to the coastal zones along the North Sea.

Understanding the relationship between these cities, regions, and administrative boundaries is essential for effective urban planning, regional development, and disaster management. Having precise geographic data on these locations is crucial for policymakers, geographers, and other professionals working to address the country’s challenges, including climate change, land reclamation, and flood management.

Latitude and Longitude: Mapping the Netherlands with Precision

Latitude and longitude data are essential for accurately pinpointing the locations of cities across the Netherlands. These geographic coordinates serve as the foundation for creating detailed maps and conducting spatial analysis on the country’s urban areas and their interactions with natural features. By obtaining the latitude and longitude of cities like Amsterdam, Rotterdam, and Eindhoven, geographers can better understand their positions relative to rivers, coastlines, and other significant geographic landmarks.

For instance, the coordinates of cities located along the coast, such as Rotterdam and The Hague, help researchers assess risks related to sea-level rise, storm surges, and coastal erosion. Meanwhile, the cities in the more inland regions, such as Utrecht and Groningen, are critical for studying patterns of urban expansion and population growth, as well as the influence of infrastructure projects like roads, railways, and airports.

With latitude and longitude data, it is also possible to integrate geographic information systems (GIS) into urban planning, helping to forecast future growth patterns and manage land use effectively. This data is indispensable for mapping the intricate connections between urban centers and the surrounding natural environment, allowing for better decision-making on development, sustainability, and resource management.

The Need for Flexible Geographic Data Formats

In order to fully leverage geographic data, it must be accessible in a variety of formats that can be easily integrated into different systems and tools. For researchers, urban planners, and government agencies, having access to data in formats such as CSV, SQL, JSON, and XML makes it easier to manipulate and analyze information on the Netherlands’ cities and regions.

- **CSV (Comma-Separated Values):** CSV files provide a simple and efficient way to organize geographic data in tabular form. This format is ideal for storing city names, population figures, coordinates, and other essential information. CSV files are compatible with many types of software, from spreadsheet applications to mapping tools, making them an accessible choice for basic analysis.

- **SQL (Structured Query Language):** SQL is a powerful tool for managing large datasets stored in relational databases. For more complex analyses, SQL allows users to query specific geographic data, such as extracting city-level information or performing spatial analysis across different provinces. SQL is particularly useful for handling large datasets and running queries that examine trends over time, such as urbanization or demographic changes.

- **JSON (JavaScript Object Notation):** JSON is a flexible and lightweight format often used for web-based applications. It is ideal for developers working on interactive maps or location-based services, allowing them to easily integrate geographic data into real-time systems. JSON’s lightweight structure makes it perfect for transferring data between platforms or for integrating geographic data into web applications for public use.

- **XML (Extensible Markup Language):** XML is a versatile format for sharing structured data across multiple systems. Its hierarchical structure makes it ideal for more complex geographic datasets, such as administrative boundaries, infrastructure networks, or demographic information. XML ensures that data can be easily exchanged between various systems and used for a wide range of applications, from government databases to environmental modeling.

By offering geographic data in these multiple formats, researchers and planners can choose the best option for their specific needs, enabling more effective data analysis and decision-making. These formats ensure the seamless integration of geographic data into GIS tools, policy models, and development projects.

A Comprehensive Database for Understanding the Netherlands

For anyone interested in studying the geography of the Netherlands, a comprehensive and well-organized database is essential. This database should contain detailed information on the cities, regions, and departments, along with their latitude and longitude coordinates. Having access to such a database allows users to analyze urban growth patterns, infrastructure development, and the distribution of resources across the country.

For example, by comparing data from cities in North Holland, like Amsterdam, with those in South Holland, like Rotterdam, researchers can examine regional disparities in terms of economic development, population density, and access to services. The database can also be used to assess environmental challenges, such as the management of water resources or the impact of climate change on vulnerable regions.

Offering the data in formats like CSV, SQL, JSON, and XML ensures that it can be used in a variety of contexts, from academic research to government planning. Whether analyzing long-term urban trends or studying the effects of specific policies, this data allows for more informed decision-making and effective management of the Netherlands’ diverse geography.

Conclusion

The geography of the Netherlands, with its intricate urban systems, coastal regions, and inland provinces, presents a unique opportunity for geographical analysis. By obtaining accurate geographic data on the cities, regions, and departments—including their latitude and longitude coordinates—researchers and planners can gain deeper insights into the country’s development, environmental challenges, and resource management needs. Providing this data in flexible formats such as CSV, SQL, JSON, and XML ensures that it is accessible and adaptable for various research, policy-making, and planning efforts. This data-driven approach enhances our understanding of the Netherlands’ geography and supports sustainable decision-making for the country’s future development.