Office Space. Our Arizona, Baltimore, and D.C. offices total 36,980 SF. Using CNaught’s online carbon calculator, this pretty quickly equates to 318.03 MT CO2e. Per CNaught, “Area is multiplied by the average carbon intensity of office space of 7.0 kg CO2e per square foot per year as provided by the Energy Information Administration CBECS survey. This estimate includes the impact of the average usage of electricity, natural gas, and fuel oil for U.S. commercial buildings.” This estimate is likely a little higher than the actual GHG emissions associated with our office space because Arizona, D.C., and Maryland are all in cleaner-than-national-average electricity grids. That said, we also didn’t specifically include any square footage for our fully remote employees, so it’s a “good enough” estimate even if it’s not perfectly accurate.
Flights. Our flight data comes from two sources: our firm’s 2025 SWABIZ report and expense reports. The SWABIZ data lists the departure and arrival airport for every trip linked to SWABIZ as well as airfare costs. That made it easy to search trip mileage and calculate carbon emissions for everything in SWABIZ. The expense report data was messier because we don’t universally list departure and arrival airports, but this is a practice we hope to evolve this year to support our 2026 accounting. Because the cleanest flight data from expense reports is cost, we used the SWABIZ data as a “ruler” to convert the expense report cost data to mileage.
Trains. Our train data is measured in dollars spent per year, as reported on expense reports. We assumed that most of our train travel is between our DC and Baltimore offices (or vice versa) on either Amtrak ($15 to 30 one-way) or MARC ($9 one-way). To make the math easier, we estimated a one-way trip between DC and Baltimore costs on average $20 and each one-way trip is 35 miles. That helped us convert dollars per year in expense reports to annual mileage. After using CNaught’s calculator, we translated that to MT CO2e.
Commuting. 2025 survey responses from a representative sample of our employee-owners demonstrated that our firm members commute in a variety of ways, including driving alone, carpools, trains, and Baltimore’s water taxi in addition to walking, bicycling, and telecommuting. Based on those findings, we used a variety of methodologies to estimate carbon emissions. The distribution of our typical commutes looks like: