> For the complete documentation index, see [llms.txt](https://docs.altum.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.altum.ai/english/property-data/location-data-api.md). # Location Data API Location Data is an integration of Location, Amenities, and BAG API information. It encompasses real estate data at the postcode level, the proximity to amenities and BAG of a houseaddress. ## Introduction The Location Data API is an advanced solution designed to deliver extensive real estate data on a postcode basis, merging information from different sources like Location, Amenities, and BAG, the Dutch national registry of addresses and buildings.\ This API presents intricate details about a building, including its unique BAG ID, physical address, and structural details like construction year, surface area, and current status. Geographical details like latitude and longitude, foundational for mapping and spatial studies, are also provided. Beyond basic structural and geographical details, the API supplies proximity data to various amenities. It determines the distances to nearby railway stations, schools, shopping centres, highway entrances, police stations, convenience stores, bus stops, and hospitals. On a broader scale, the Location Data API delivers details about the province, municipality, city, and neighbourhood. This data includes the neighbourhood's population stats, age distribution, and household composition. Users can gain insights into the demographic dynamics of a neighbourhood, such as the total population, age segmentation, and household types with or without kids. The API provides comprehensive data at the postcode level, revealing the types of residential properties (for instance, detached, terraced, semi-detached), transaction values, and population density. This function can notably aid market analysis, empowering users to grasp the real estate trends of a specific region. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.altum.ai/english/property-data/location-data-api.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.