# People Counting: Beginner's Guide

##### Introduction

In the **Data Engine: People Counting**, there are 3 different tabs:

- Occupancy Overview,
- Occupancy Details,
- Footfall Trends.

[![Untitled.png](https://docs.bi3.co.uk/uploads/images/gallery/2026-08/scaled-1680-/7BVXPTIhjq0lhVhK-untitled.png)](https://docs.bi3.co.uk/uploads/images/gallery/2026-08/7BVXPTIhjq0lhVhK-untitled.png)

##### <span style="color: rgb(0,0,0);">Occupancy Overview</span>

**Occupancy Overview** provides visibility into overcapacity incidents, occupancy trends, and key metrics such as average occupancy, total occupancy, and hourly occupancy breakdown across a zone.

For more information, see [People Counting: Occupancy Overview](https://docs.bi3.co.uk/books/data-engine-people-counting/page/people-counting-occupancy-overview "People Counting: Occupancy Overview")

##### <span style="color: rgb(0,0,0);">Occupancy Details</span>

**Occupancy Details** is nested inside **Occupancy Overview** and provides detailed analysis of an individual zone.

<p class="callout info">To access **Occupancy Details**, click on a zone.</p>

For more information, see [People Counting: Occupancy Details](https://docs.bi3.co.uk/books/data-engine-people-counting/page/people-counting-occupancy-details "People Counting: Occupancy Details")

##### Footfall Trends

**Footfall Trends** and its components provide an aggregated anaylsis of historical data across site and time periods, delivering high-level insight into trends, patterns, and performance over-time.

A variety of footfall trends are available:

- Live Dashboard,
- Weekly Footfall Trends,
- Monthly Footfall Trends,
- Annual Footfall Trends.

Each option provides a different level of aggregation, from real-time analytics through to long-term trends (weekly, monthly, and yearly).

The **Live Dashboard** is useful for real-time monitoring, while **Weekly** and **Monthly Trends** are typically the most useful starting points for analysing patterns over time. **Annual Trends** are best suited for long-term comparisons.

There are a variety of filters available in Footfall Trends, including:

- Filter by site.
- Filter by year, month, or week

Enabling users to analyse historical data (e.g., 2023 Week 18 for Location 1) as seamlessly as the current week.

For more information, see [People Counting: Footfall Trends](https://docs.bi3.co.uk/books/data-engine-people-counting/page/people-counting-footfall-trends "People Counting: Footfall Trends").

<span style="background-color: rgb(45, 194, 107); color: rgb(255, 255, 255);">Complete 18 Aug 2026</span>