Energy and drinking water companies

The Energy data dataset gives you all the information you could possibly need on energy in an urban environment, including relevant information for prioritizing sustainability campaigns or determining real estate and rental prices, for instance. What’s the energy consumption like in this area? Which homes have what kind of insulation? And in which neighborhoods can I generate renewable energy? Energy data will tell you

Looking to quickly and easily find critical locations and black spots in the kilometers of cables and pipes that run under the root zones of trees? Based on the combination of tree crown circumference, tree height and road paving, you can easily use the Tree registry to track down dangerous points. In case of a Klic report, we also pass on the location of tree roots that are near cables or pipes to diggers.

Our Consumer Data dataset gives you access to a wealth of reliable data that lets you carefully profile your (potential) customers, ranging from family composition, rental and owner-occupied homes, and car ownership, to demographic and socio-economic characteristics. Armed with this knowledge, you can fully align your products and services with your customers. Use the data for optimum district layout, for example, with an equal number of (potential) customers for every technician or field employee. Available at zip-code level 4, 5, and 6. Also available: the Zip code 6-area relation table, which lets you link your zip-code-level data to areas known to Netherlands Statistics, along with all characteristics that are available for that level.

Are you looking for buildings with flat roofs that are suitable for installing solar panels, or do you want to determine the energy consumption of buildings based on their type and year of construction? The Dutch Building Properties dataset will let you do just that and more. It contains important data on every building in the Netherlands, such as: building height and ground level height, building type, number of stories, and usable floor area You can use this dataset for analyses in which building height or building type are important factors, or link the objects to addresses and conduct market analyses. Can also be used as input for 3D models. This data set is available in various formats, so you can choose between information about the Netherlands, a particular province, or a given municipality.

Our Spatial Queries service gives you an easy way to request the characteristics of selected areas, and is also perfect for plotting postcode catchment areas. You can easily filter the data based on location, route or a selected area, before exporting the results, which can then be processed in reports or a spreadsheet application.

Suppose your mechanic has work to do in a new residential area, but the software doesn’t recognize the address. Our geocoding services will let you solve that problem, because they’re always up-to-date and as accurate as can be. We provide the services in cooperation with our partner TomTom, who provide top-quality location & navigation products and services.

Do you want to share your mechanic’s expected arrival time with your customers, or receive a notification when specific geographical limits or threshold values are exceeded? With our notification service, consumers or co-workers receive a message immediately.

Do you always want the most up-to-date version of the zip code map? At all levels: from 2 to 6-position zip codes? Geodan’s zip code maps let you do just that. You can use these in Geographic Information Systems (GIS), BI systems, or in your own (web) application to make geographic analyses a lot simpler. From displaying your customer turnover by zip code area and visualizing your service area to mapping out districts. You can choose from a basic version or more complete variants, custom-made for your organization.

In our distance matrix, you’ll find all travel times and distances to and from all zip codes in the Netherlands. The standard version is available for cars at the zip code 4 and zip code 5 level, but custom tables are also possible for other modes of transportation or other countries, for instance. Ideal for use in HRM systems to determine travel expenses, or to determine travel times and distances between different areas in the logistics sector.

Looking for more information about the demographic characteristics of a certain area or neighborhood? Simply link your own zip-code-level data to neighborhoods and districts known to Statistics Netherlands. We’ll get you all the characteristics that are available at that level and provide all data in a single, handy overview.

Geodan offers a standard map library with data for GeodanMaps customers, including administrative layouts, such as zip code and municipal boundaries, as well as all addresses and buildings, building types, energy data, and demographic data at the zip-code level. Aside from that, it’s easy to add your own data for a handy, complete overview.

GeodanMaps lets you code your own geodata using an Excel file. From zip codes and addresses to coordinates, neighborhoods, and areas; they are all converted into separate map layers, allowing you to visualize your own data on a map and gain new insights. This information is also easy to share with others.