Personal Carbon Footprint Calculator

💾 Saves

Profile name Load existing

Import JSON

Your work autosaves to this browser as you type (under (autosave)). Save under a name to keep multiple scenarios. Export to JSON for backup or to move between browsers. Saves are tolerant of UI changes — if a future version renames an input, the rest of your save still loads.

🌎 Start from a country/region average

Loads representative averages into every section below — flights, driving, commute, energy, diet, consumption — so you can see what an average person in that place looks like in one click. Then tweak the inputs to match your own life.

Country / region

✈️ Flights

Radiative forcing factor Aviation's climate impact is greater than its CO₂ emissions alone — high-altitude contrails, NOx and water vapour cause additional warming. The radiative forcing (RF) factor multiplies the CO₂ emissions to estimate the total climate impact. Default 1.9 follows DEFRA's official "+90%" uplift convention. The more recent Lee et al. 2021 ERF analysis suggests a higher central value of ~3.0 (range 1.7–4.2). Set to 1.0 to view CO₂-only.

🚗 Ground transport

🚙 Car-share (Communauto, Zipcar, etc.)

Your share of the vehicle's existence = your usage % × 4 (assumes the car is actively used ~25% of total time across all members — Madrid free-floating ~23%, EU/NA city averages 17–22%). Operational fuel/electricity is added on top.

🚲 Commute

One-way distance to work (km) Commute days per year

Drag the sliders to describe how you split your commute between modes. Sliders auto-normalise to 100%.

Sources: DEFRA 2024 per-passenger-km factors. Carpool assumes 2 occupants of an average petrol car. Public transit is the unweighted average of DEFRA local-bus and metro/light-rail factors.

⚡ Home energy

Electricity (kWh per year) Country / region grid

🥗 Diet

Drag the sliders to describe your mix. Sliders are normalised to 100% — so 50/50 vegetarian and pescatarian works the same as 1/1.

🛍 Consumption (count of new items / meals per year)

Item counts replaced the older per-dollar input — most people can recall how many new T-shirts or smartphones they bought, but few know their annual restaurant spend, and per-USD factors averaged across whole industries (a $50 steak ≠ a $50 salad). Per-item lifecycle factors are still ~±30% — use sensible round numbers.

Pre-fill consumption only from country average

Item	Count / year	Factor (each)