How to use the rainwater tank calculator
- Choose Metric (litres) or Imperial (US gallons).
- Enter the roof catchment area that drains to the tank, measured in plan.
- Enter the average yearly rainfall for your location.
- Set the runoff coefficient.
- Enter your daily use from the tank and the tank size.
How the calculation works
Water collected per year = roof area × rainfall × coefficient (1 mm on 1 m² = 1 litre). Average per day = yearly total ÷ 365. Days a full tank lasts = tank size ÷ daily use. Share of demand covered = yearly total ÷ (daily use × 365).
Worked examples
Suburban house. 100 m² roof, 600 mm rain, coefficient 1: 60,000 L a year, about 164 L a day on average. A 5,000 L tank at 100 L a day lasts 50 days.
US home. 1,000 ft² roof, 24 in of rain: about 14,960 gallons a year at a coefficient of 1.
How to interpret the results
The yearly total shows the potential; the tank size decides how much you can store for dry periods. Because rain is seasonal, a tank can run dry even when the yearly total exceeds your demand.
Tips and common mistakes
- Use plan area, not the sloped roof area.
- Fit a first-flush diverter and leaf screens to keep water cleaner.
- Use an overflow that drains safely away from foundations.
- Check local rules on rainwater use and tank installation.
Sizing for dry periods
A simple way to size a tank is to decide how many days of supply you want to store and multiply by your daily use. If the longest dry spell where you live is a month and you use 100 litres a day for the garden and toilets, a tank of about 3,000 litres gives you that buffer. A month-by-month balance using local rainfall records gives a more accurate answer.
Related calculators
The square footage calculator measures the roof plan area, and the roof pitch calculator converts between plan and sloped area if your drawings show the sloped roof. Add the tank, gutters and pipes to the project materials list when you plan the installation.
Assumptions and limitations
The calculation uses yearly averages and doesn’t simulate dry spells. For important supplies, a month-by-month analysis with local data is better.