Intuition and experience are valuable, but what does the data reveal about the demographic structure, safety, quality of life, and healthcare in your neighbourhood?

The challenge in the neighbourhood

Neighbourhood professionals, policy advisors, and area managers work daily in and for local areas. They have a strong sense of local dynamics, know the residents, and understand where tensions lie. However, intuition is not always sufficient when it comes to policy decisions, budget allocation, or accountability to the municipal executive and council.

Data as a foundation

The Integrated Neighbourhood Scan by Clappform aggregates public data from the Statistics Netherlands (CBS), the National Police, the Leefbarometer (Liveability Monitor), the National Institute for Public Health and the Environment (RIVM), and the Climate Impact Atlas into a single platform, translated to neighbourhood and district levels. This provides an objective, up-to-date overview of what is genuinely happening in an area—not to replace professional expertise, but to back it up.

What does the Integrated Neighbourhood Scan do?

• Compare and monitor: Three Area Compasses compare the municipality, neighbourhood, and district with relevant averages. Selecting reference years reveals development over time, showing not just the current situation, but also trends and shifts.

• All-in-one platform: Access all data in a single dashboard to see how demographic developments, safety, liveability, health, and climate impacts correlate. Themes that previously existed in separate systems are now brought together.

• Prioritise with impact: The Integrated Neighbourhood Scan makes trends, opportunities, and bottlenecks visible. This helps direct resources to where they will have the greatest impact. A neighbourhood with a high liveability score may still be vulnerable if social cohesion is low; comparing multiple indicators side by side reveals these nuances.

• Communication and transparency: The Integrated Neighbourhood Scan also serves as a communication tool during community engagement sessions. Data visualisations make complex information accessible to residents and council members. Additionally, an AI chat function allows you to query public data directly, also in combination with policy documents.

From description to steering

The Integrated Neighbourhood Scan supports the entire policy cycle: mapping, identifying, deepening, justifying, targeting, and monitoring. This ensures data is not just consulted on a one-off basis, but used structurally for steering and adjustments.

Municipalities use the application to gain rapid insights, compare neighbourhoods, and support policy choices with facts rather than assumptions. How do you support policy decisions regarding districts and neighbourhoods? Do you already work data-driven, or mostly on intuition?