Single view of the key personal finance ratios from your inputs.

A household with 4,000 income, 800 savings, 30,000 debt, and 10,000 emergency fund sits at 20% savings rate, 62.5% debt-to-income ratio, and 5 months of emergency coverage. Each of those three numbers is a distinct diagnostic — the dashboard view prevents focusing on one while another erodes.

What the result means

Primary is the composite score (average of the three normalised metrics). Secondary shows each metric separately. Target ranges: savings rate 15%+, DTI under 36%, emergency fund 3-6 months. Falling below any of these suggests that's where attention is needed.

Why a dashboard?

Obsessing over one ratio can hide problems elsewhere. A high savings rate funded by credit card debt isn't healthy; a zero-debt household with no emergency fund is one shock away from crisis. All three need to be at least OK; optimising one at the expense of another rarely ends well.

Run it with sensible defaults

Using monthly take-home of 4,000, monthly savings of 800, total debt balance of 30,000, emergency fund of 10,000, the calculation works out to 50. Nudge the inputs toward your own situation and the output recalculates instantly. The defaults are meant as a starting point, not a recommendation.

The levers in this calculation

The inputs — Monthly Take-Home, Monthly Savings, Total Debt Balance, and Emergency Fund — do not pull with equal force. Not every input has equal weight. Flip one at a time toward extreme values to feel which ones move the needle most for your situation.

How the math works

Savings score: rate / 25 × 100 (capped at 100). Debt score: max(0, 100 − DTI × 2) where DTI is total debt / annual income × 100. Emergency score: min(100, months × 20) where months = emergency fund / (monthly_income × 0.7). Composite is the average. The working is transparent — you can verify every step yourself in the formula section below. No black box, no opaque "proprietary model".

Using this to recalibrate

Repeat the calculation with smaller inputs to see how much the final figure moves. That sensitivity is where the actionable insight lives — often a modest change today produces a dramatically different lifetime total.

What this doesn't capture

This is an illustration, not a prediction. The specific figure depends entirely on your inputs — change any assumption and the headline moves. The value is in the pattern it reveals, not the exact pound figure.