Doughnut Economics Score Calculator
The formula
What the doughnut economics score tells you
Attainment of doughnut economics score against a target, with the absolute gap and the weighted contribution for scorecard roll-ups.
Calculation: attainment = actual ÷ target × 100; weighted contribution = attainment × weight. Enter your inputs and every substitution is shown below the result.
Reading the result
Green scores with soft targets flatter; audit the target, not just the result.
Limitations and best practice
One weighted line hides in a dashboard — a 90 % composite can be a 120 % and a 40 % wearing makeup.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Is 100 % always good?
How do I weight lines?
Source & methodology
Balanced-scorecard attainment arithmetic.
Doughnut Economics Score: the number, the method and the caveats
Scores feel like verdicts, but they are arithmetic — and arithmetic you understand is arithmetic you can plan toward. Searchers land on a Doughnut Economics Score page for three reasons — to plan, to compare options, and to check that somebody else’s arithmetic is honest. This tool serves all three, and everything after the calculator explains the model instead of hiding it.
Like most useful measures, Doughnut Economics Score is a summary, and summaries hide as much as they reveal. The companion outputs and the input table are here to reopen what the headline compressed.
What makes Doughnut Economics Score worth calculating is not precision but position: it tells you which side of a threshold you are on, and by how much. A rough figure that settles the direction beats an elaborate one that never commits.
Nothing below is stock text pasted around a number: the worked example computes attainment score = 38.7% from this tool’s own defaults, and the sensitivity section ranks the inputs that move the result — Target / benchmark first, at ≈11.1 % of the headline for a ten-percent error either way in that input. Work down the page and by the end you could re-derive the result in a spreadsheet from memory.
Inside the Doughnut Economics Score calculation: formula and every input
Here is the complete model this tool runs — attainment = actual ÷ target × 100; weighted contribution = attainment × weight — with each input explained below. If a competitor’s page gives you a different answer from the same inputs, this is the text that settles which of you is right.
Actual / achieved (example value 87) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
Target / benchmark (example value 225) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
Weight of this line in the whole (example value 1) is a quantity rather than a category — precision here is cheap and worth having. Weigh rather than estimate where you can — this field usually enters the formula multiplicatively.
A fully worked Doughnut Economics Score example
Rather than describe the calculation, here it is end to end — every substitution in order, starting from the inputs above. Starting figures: Actual / achieved, Target / benchmark, Weight of this line in the whole. The endpoint of that chain is 38.7% of attainment score, sitting in the “Material miss — this line needs intervention, not encouragement” band.
- Attainment = 87.0 ÷ 225.0 = 38.7 %
- Gap = 138.0 units
Gap to target — 138.0. Compare it against the main result of 38.7% before drawing conclusions.
Gap as % — 61.3%. If your inputs change, this is usually the first companion figure to move.
Weighted contribution — 38.7. Read next to the headline, this is the figure that shows the shape of the trade-off.
Keep this worked example open while you enter your own figures: matching the shape of the substitution is the fastest way to spot a unit or convention mistake.
Scenario table: Doughnut Economics Score at ±10 % and ±20 % of the key input
Single-point answers invite false confidence, so the same engine was run across a band around the input that matters most here. Each row is a full recalculation of Doughnut Economics Score, not an interpolation.
| Target / benchmark setting | Attainment score |
|---|---|
| 80 % of the example value | 48.3% |
| 90 % of the example value | 43.0% |
| example inputs | 38.7% |
| 110 % of the example value | 35.2% |
| 120 % of the example value | 32.2% |
Across 5 settings of Target / benchmark, the result spans 32.2% to 48.3%. A decision that only works at one row of this table is a decision waiting for an input to move. Reproduce it in the form above by editing Target / benchmark alone; the substitution steps will follow your figures exactly.
Where Doughnut Economics Score is fragile — and where it is not
This list was computed for this specific engine just now: each numeric input was nudged ±10 % while every other field held its example value, and the attainment score was recalculated from scratch. Read it as a map of where Doughnut Economics Score is fragile — drawn for the example inputs, which is the map you want when deciding what to measure carefully.
- Target / benchmark +10 % → Doughnut Economics Score = 35.2% · −10 % → 43.0% (the attainment score shifts ≈11.1 %)
- Actual / achieved: ten percent up gives 42.5%, ten percent down gives 34.8% — ≈10.0 % of the attainment score either way
Target / benchmark is the dominant lever here: ten percent either way moves the result by about 11.1 %, from 35.2% to 43.0%. That is where a careless figure does the most damage, so check it against a source, and treat Actual / achieved as the second priority (≈10.0 % per ten percent). The rest of the inputs earn only a rounding-error of attention, and that asymmetry is the practical payoff of measuring rather than asserting.
Interpreting the Doughnut Economics Score verdict
Nobody acts on a bare figure — they act on a figure with a comparison attached. The default case lands in the “Material miss — this line needs intervention, not encouragement” band, and bands are deliberately wide because real situations overlap. The sensitivity list shows how far a modest input error moves you along that ladder: for Target / benchmark, ±10 % covers 35.2% to 43.0%. The practical reading rules: ask what would have to change to move you one band. If the answer is “a small, plausible input difference”, the band itself is not the finding — the uncertainty is.
Where Doughnut Economics Score sits next to similar measures: this tool answers “how much is the Doughnut Economics Score”, while the related calculators answer “what do I do about it”. Reading the result alone tends to over-weight a single snapshot; pairing it with the companion tools above turns the number into a decision.
Common mistakes with Doughnut Economics Score (and the fix)
One weighted line hides in a dashboard — a 90 % composite can be a 120 % and a 40 % wearing makeup. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Reporting the headline and quietly discarding Gap to target. The companions are where the shape of the trade-off survives the rounding.
This model has its own particular trap: Target / benchmark carries ≈11.1 % of the response per ten percent of error, so effort spent elsewhere is largely decorative.
A final trap is presentation: reporting Doughnut Economics Score to more decimal places than the inputs support. The tool prints what the arithmetic gives; you should quote only what your least precise field justifies.
Six things to confirm before acting on Doughnut Economics Score
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Record the date and the inputs alongside the number so future-you knows what was assumed.
- Check Target / benchmark before anything else: it is the measured dominant input, ≈11.1 % of Doughnut Economics Score per ten percent.
- Recompute once with the dominant input deliberately set low, and see whether the decision changes.
- Check that every field the formula needs actually arrived from a document, not from recollection.
- Run the ±10 % stress on the top two levers and check that your conclusion survives both.
How to use the Doughnut Economics Score tool properly
Using a calculator well sounds trivial, but the difference between a decision-grade figure and a throwaway one lives entirely in the routine. The routine for Doughnut Economics Score takes a minute to learn and applies to every input above.
Step 1 — start from evidence. The inputs behind Doughnut Economics Score are actual / achieved, target / benchmark, weight of this line in the whole. Write them down with their source next to each one; if you cannot name where a figure came from, that is the input most likely to be wrong. Most surprises in numbers are surprises about inputs, not about formulas.
Step 2 — enter the conservative case first. Resist the flattering scenario. Type the inputs you would defend in front of a sceptical reader, read the Attainment score (38.7% for the example values), and note the verdict band. One decimal place more than your data supports is one decimal place of fiction.
Step 3 — isolate your variables. Change one field, observe, revert. The live sensitivity list does the ranking for the default inputs; verify it against your own, because dominance shifts when the starting point shifts. Write the assumptions in the same file as the result, and future arguments take minutes instead of meetings.
Step 4 — ask what would have to be true. Take the result you want and work backwards through the inputs until you find the assumption that produces it; then decide honestly whether that assumption is defensible. Rounding early is the quietest way to introduce a permanent error.
Step 5 — record the context, not just the number. Note today’s date and the inputs alongside the 38.7% output. Six months from now the context is what turns this figure into a trend. Note the assumption you are least sure about; that is where the real risk lives.
Where Doughnut Economics Score matters in practice
Most Waste & Circular Economy disagreements are arithmetic disagreements in disguise. When Attainment score of 38.7% sits on the table with its working shown, the conversation stops being about who sounds more confident and starts being about which input is wrong. Most surprises in numbers are surprises about inputs, not about formulas.
Professionals in Waste & Circular Economy use this style of calculation as a screening filter before spending real money or effort: a quick Doughnut Economics Score check eliminates weak options in minutes, and the survivors earn the deeper, slower analysis. If a result feels obviously right, that is the moment to check the inputs hardest.
Treat Doughnut Economics Score like a smoke alarm rather than a painting — its value is in being tested periodically, not in being admired once. Most surprises in numbers are surprises about inputs, not about formulas.
The questions that come up most about Doughnut Economics Score
What affects Doughnut Economics Score the most?
The short answer: Target / benchmark. The longer answer is the sensitivity table on this page, where every numeric input was probed by ten percent and the attainment score recalculated — Target / benchmark moved it furthest, by roughly 11.1 % (35.2% to 43.0%).
Which matters more: actual / achieved or target / benchmark?
By the numbers, Target / benchmark: a ten-percent change in it moves the result ≈11.1 %, versus ≈10.0 % for Actual / achieved. Spend your measuring effort in that order — precision on the weaker lever buys almost nothing.
What is a typical Doughnut Economics Score?
With the example inputs on this page the result is 38.7%, labelled “Material miss — this line needs intervention, not encouragement”. “Typical” varies with situation, which is why every result here ships with its verdict band and its sensitivity list: they turn one figure into a range you can locate yourself inside.
How do I calculate Doughnut Economics Score by hand?
Three steps: write the formula (attainment = actual ÷ target × 100; weighted contribution = attainment × weight), insert your values, and simplify. The worked example section shows exactly that chain for the default inputs; replicating it once on paper teaches you more about Doughnut Economics Score than any number of calculator runs.
What happens to Doughnut Economics Score if target / benchmark changes by 10 %?
On these inputs a ±10 % change in target / benchmark takes Doughnut Economics Score to 35.2% against the 38.7% example — around 11.1 % of the headline. The same test on every other field is in the sensitivity section.
Is the Doughnut Economics Score result of 38.7% good or bad?
Neither, on its own — the label “Material miss — this line needs intervention, not encouragement” is the band this figure falls in for the example inputs, and your own inputs will place you elsewhere on the same ladder. Judge the number against your history and your alternatives, and remember that a ten-percent error in Target / benchmark alone moves it by ≈11.1 %.
Can Doughnut Economics Score be negative or empty?
Yes, and that is informative rather than broken: a negative Doughnut Economics Score usually means the inputs encode an outflow or a shortfall, and the verdict band above labels exactly that situation instead of hiding it.
What affects Doughnut Economics Score the most?
Sensitivity depends on where you start, but the inputs Actual / achieved and Target / benchmark typically move Doughnut Economics Score further than the rest because they enter the formula multiplicatively. If you can only measure two things well, measure those and hold the others at conservative defaults.
Is 100 % always good?
Only if the target was set honestly; consistently hitting exactly 100 % suggests sandbagged targets.
How do I weight lines?
By consequence — revenue and safety earn higher weights than administrative metrics.
Do I need an account to use this Doughnut Economics Score calculator?
No, and no data leaves the tab. The engine runs in the page itself, which is why the worked example, the bands and the sensitivity ranking all respond instantly to your keystrokes.
Glossary for Doughnut Economics Score
- Gap to target
- 138.0 on the example inputs — a companion figure printed beside the headline of Doughnut Economics Score so that no result is read in isolation.
- Gap as %
- 61.3% for the Doughnut Economics Score worked case; it sits next to the main result because it carries context the headline leaves out.
- Weighted contribution
- 38.7 on the example inputs — a companion figure printed beside the headline of Doughnut Economics Score so that no result is read in isolation.
- Attainment score
- The primary output of this tool: 38.7% for the default inputs, computed exactly from attainment = actual ÷ target × 100; weighted contribution = attainment × weight.
- Worked example
- The step-by-step substitution printed above, so the arithmetic can be re-derived by hand or in a spreadsheet.
- Verdict band
- The plain-language label — here “Material miss — this line needs intervention, not encouragement” — mapping the computed figure onto experience-based ranges for Environmental & Sustainability.
- Sensitivity (±10 %)
- How far the Doughnut Economics Score moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
The provenance of this Doughnut Economics Score calculation
Everything above runs on one stated formula, applied without hidden coefficients: attainment = actual ÷ target × 100; weighted contribution = attainment × weight. Source of record: Balanced-scorecard attainment arithmetic. Where a professional version of this calculation differs, it differs in inputs and jurisdiction-specific coefficients, not in the algebra — which is why re-checking your inputs beats hunting for a second calculator.
Nothing here replaces a qualified professional, and nothing here is approximate either — the arithmetic is exact, and the honesty is in the inputs you supply. The design constraint was set by usefulness rather than by comfort: an estimate you can interrogate beats an answer you have to trust.
Turning this Doughnut Economics Score into a decision
Refresh the calculation every term or test cycle — weightings and raw scores both move.
This page was written for students and candidates planning toward a target score, and the promise is that nothing above required trust. Bookmark the tool, re-run it whenever an input moves by more than a few percent, and keep the date with the number.