Choropleth map examples using Highcharts

A choropleth map is a data visualization technique that uses varying shades of color to represent data values across different geographical regions. This method effectively highlights patterns and differences in data, making it easier to understand complex datasets. Choropleth maps are especially useful in fields like demographics, public health, and economics for visualizing regional data trends.

Highcharts simplifies the creation of interactive and responsive choropleth maps. This blog post will explore various examples using Highcharts, showcasing their versatility and practical applications.

To see more examples and get an even better understanding of the opportunities Highcharts offers, please head over to the demo section of our website or read up on the technical documentation on how to get started. Once you get the hang of it, the API reference will help you customize your charts in no time.

Whether you’re a developer working with JavaScript, .NET, React or other common frameworks, we’re confident you’ll find the inspiration you need.

Highcharts also integrates seamlessly with popular languages such as Python, R, PHP and Java, as well as mobile platforms like iOS and Android. Additional support for frameworks like Svelte, Angular, and Vue, makes it a versatile tool for various development environments.

Basic world map

The “Basic world map” example in Highcharts displays life expectancy data by country for the year 2021. This interactive map utilizes data from the World Bank and includes features such as tooltips and navigation for zooming and panning. The color axis highlights variations in life expectancy across different countries, enhancing the visual analysis of global health data. Users can explore detailed information by hovering over each country, making the map an effective tool for visualizing and understanding international life expectancy trends.

Go to the demo page for the “Basic World Map” example page to view its code, play around with different theme colors or edit it on JSFiddle or Codepen.

Multiple data classes

The “Multiple data classes” example categorizes countries based on their population density. Using distinct colors for different densities, the map makes it easy to visualize global population density. Interactive features allow users to hover over each country to see detailed density data, providing a clear and accessible way to analyze population conditions worldwide. This map highlights how data classification can enhance the understanding of population density across geographical regions.

Go to the demo page for the “Multiple data classes” example page to view its code, play around with different theme colors or edit it on JSFiddle or Codepen.

Map with locator

The “Map with locator” example maps Italian regions using geographic coordinates. Users can hover over the markers to see region names and coordinates. The interactive map includes navigation features that enhance the exploration region data, making it a useful tool for visualizing locations and understanding spatial relationships between regions.

Go to the demo page for the “Map with locator” example page to view its code, play around with different theme colors or edit it on JSFiddle or Codepen.

Audio map

The “Audio map” demo offers an innovative approach to data visualization by integrating sound with map data. Hovering over different regions triggers corresponding sounds, providing an auditory representation of data values. This unique method enhances user interaction with geographical data, offering a multi-sensory experience that can make data analysis more engaging and intuitive. The audio feedback helps in understanding data patterns and variations across regions.

Go to the demo page for the “Audio map” example page to view its code, play around with different theme colors or edit it on JSFiddle or Codepen.

Current temperatures in capitals of Europe

The “Current temperatures in capitals of Europe” example displays average temperature data for European capitals. Markers on the map represent each capital, and users can hover over them to see detailed temperature information. This interactive map allows for easy exploration of climate data across Europe, providing insights into temperature variations between different capital cities. The example highlights how geographical data can be used to understand climate patterns and trends.

Go to the demo page for the “Current temperatures in capitals of Europe” example page to view its code, play around with different theme colors or edit it on JSFiddle or Codepen.

Conclusion and additional resources

Choropleth maps are effective for visualizing data variations across geographical regions using color gradients. Highcharts® offers a robust platform for creating interactive and responsive choropleth maps, suitable for fields like demographics, public health, and economics.