Part of the data ring
LuxPlan
Photometric sheets · 60 footprints × 12 targets

How many lights
does this room need?

Fixture count, centres, and a to-scale ceiling plan with the light's own falloff drawn on it — worked with the lumen method rather than a rule of thumb. Free, no signup.

Footprints60each drawn to scale
Targets12one per room use
Sheets720with contours drawn

SOURCE·IES lumen-method recommendations·published recommendations, quoted as ranges·REVIEWED JUL 2026

Specimen sheet · 12 × 14 kitchenWhat every page on this site looks like

The plan is to scale. The dashed rings are iso-lux contours: one fitting's own light falling from 108 lux beneath it to 27 lux 5 ft away. They have to overlap before the room reaches 300 lux, and that is what sets the count at 12.

81 lx54 lx27 lx108 lx 14 ft 12 ft 4 across × 3 deep · 3.5 ft × 4 ft apart · 1.8 ft from the end walls
Fitting, 800 lm 81 lx 54 lx 27 lx Contours: one fitting, direct only

SOURCE·Computed from the lumen method·no dataset, every figure reproducible with a calculator·REVIEWED JUL 2026

The full sheet for this room →

PositionWhy "one light per 4 square feet" gets it wrong

Almost every lighting calculator online uses a fixed rule: so many watts or fixtures per square foot. It is quick, and it is fine for an ordinary 8-foot-ceiling bedroom. It falls apart everywhere else.

Two rooms with identical floor areas can need very different amounts of light. A tall room loses more of it before it reaches the floor. A long, narrow room bounces less light off its walls than a square one — that relationship is captured by the room index, and it moves the answer by 30% or more between a cramped hallway and a large open space. And a kitchen is lit to roughly double a living room regardless of size.

This site runs the actual lumen method for every combination and draws the result, because the useful answer was never the number on its own — it is where the fittings go and how far each one's light actually gets.

See all 10 sites in this family, with what each one answers

Published by

Amit Sharma

Auckland real-estate agent and marketer. Builds free, sourced data tools.