Canton vs Evergreen Fog
Where Canton belongs to Little Greene's range, Evergreen Fog is a Sherwin-Williams color. Canton reads as blue, while Evergreen Fog reads as green-grey — two distinct hue families, not close cousins. Evergreen Fog has an LRV of 30. Canton runs blue while Evergreen Fog is decidedly neutral, which means they'll respond very differently to warm vs cool light sources. With a ΔE of 31.6, the contrast is hard to miss. These aren't variations on a theme — they're two different answers to the same question. Below you'll find 2 real-room photo comparisons where both colors appear side by side, plus 5 simulated room previews.
Canton vs Evergreen Fog in Real Spaces
2 real rooms side by side. Seeing Canton and Evergreen Fog in actual rooms makes the difference concrete; browse the spaces below to get a feel for how each color lives on a wall.
Living Room
In a living room, color works across both daylight and evening light — the same wall can read very differently at noon and at 8pm. Side by side like this, the difference is easy to read — which is exactly why seeing them in a real space is more useful than comparing chips.
Kitchen
In a kitchen, colors are seen under bright task lighting that amplifies undertones — what reads neutral elsewhere can show its hand here. The distinction reads clearly at room scale, making the choice between them concrete.
Color Details
Canton vs Evergreen Fog Simulated Comparison
5 simulated room previews — drag the slider on each to see Canton on one side and Evergreen Fog on the other.
Digital color is approximate. These simulations are generated from the manufacturer's hex values and overlaid on grayscale room photos — your screen's calibration, brightness, and viewing angle all affect how they render. Before committing to either color, test physical samples in your own space under the light you actually live with.
More Canton comparisons
See how Canton stacks up against other well-photographed colors across different brands and tones.












































