Activity Data Collection Guide

GreenFeet allows you to upload data in any format. You have the freedom to upload your own information to generate your personalized report, or our team will take your uploaded data and plug it into our technology, where we quickly turn your raw data into CO2 equivalent (co2e) emissions data. This is all done while using our built in calculators and databases containing emission factors and conversion coefficients, all of which is based on publicly available national data figures. Our in-house environmental scientists continue to update our databases as new emissions factors are released periodically in different jurisdictions.

Below provides general guidance on what information and systems to gather information from when considering what ‘activity data’ you need to collect when first calculating your baseline emissions. We take into consideration the different emission categories and calculation methods (e.g. exact data method, average data method, spend based method etc.) as outlined in the GHG protocol.

Note that below is not an exhaustive list, and simply serves as guidance around some of the simplest and most common ways to gather your activity data (generally one of the listed data sources per category will suffice for initial calculations):

Scope 1 :

Category	Primary Data	Secondary Data
Building Heat	Utility bills	Building Size, Heating Cost per Building
Refrigerants	Refrigerant leak reports, Refrigerant type	Building Size
Vehicles	Exact vehicle types, Exact annual mileage	Average vehicle engine size, Average mileage

Scope 2 :

Category	Primary Data	Secondary Data
Building Electricity	Utility Bill	Building Size, or Electricity Cost per Building

Scope 3 :

Category	Primary Data	Secondary Data
Servers	Request provider per customer sustainability report , or Provider Invoices with Kilowatt Hours information,	Provider calculator (e.g. Azure), and Server Cost
Air Travel	Export per flight reports from booking systems, or All Flight booking invoices	No. of Flights
Employee Commute	Exact commuting patterns per employee and mode of transportation, along with No. of Employees per location	Survey information of employee commuting patterns and mode of transportation, National data figures
Shipping	Shipping weight, All delivery start and end points and transport modes	Average distance per delivery, Average shipping weight, Distribution of transport modes
Production	Exact emissions per component or product	Average emissions produced by product range
Events	Exact No. of bookings per hotel, Venue electricity and heat for the event period, See air travel above, Ground transportation receipts, and No. of attendees per day	No. of hotel nights, Venue size, See air travel above, Ground transportation mode and average distance, Ground transportation spend, Average No. of attendees

Primary vs. Secondary Data

Primary Data refers to activity data taken directly from meter readings, i.e., the “raw” utility bill data. Primary Data are generally considered to be the most accurate, and preferable to estimated data.

Secondary Data, or estimated data, refers to the development and use of intensity factors and/or energy consumption models and can be utilized when primary data is unavailable.