Domestic Partnership Value Calculator
The formula
What the domestic partnership value tells you
Tape-meat body composition for domestic partnership value: the US Navy circumference method — the field standard gyms and physicals actually use — with fat and lean mass in kilograms.
Calculation: US Navy: BF% = 86.010·log₁₀(waist−neck) − 70.041·log₁₀(height) + 36.76 (men); +1.08·…−84.52 women. Enter your inputs and every substitution is shown below the result.
Reading the result
Track the trend monthly under the same conditions; ±2 points of tape error is normal.
Limitations and best practice
Hydration and recent meals shift centimetres — measure fasted, morning, same spot.
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
How accurate is tape-meat body fat?
Which formula is best for me?
Source & methodology
US Navy Body Composition Program method.
Domestic Partnership Value explained: formula, worked example and honest limits
You are here because you need a specific number, and you want to see how it was produced before you rely on it. There are plenty of pages about Domestic Partnership Value; almost none of them show the working. This one does: the formula, every input, a fully computed example, and a sensitivity analysis calculated live from this engine’s own defaults.
The number itself is the easy part. What takes judgement is knowing which inputs are facts in your situation and which are guesses wearing a decimal point — a distinction this page makes explicit for every field above.
Legal arithmetic in Legal & Law never decides cases — it sizes stakes, deadlines and damages ranges, and Domestic Partnership Value turns fuzzy exposure into the number you brief a lawyer with. US Navy: BF% = 86.010·log₁₀(waist−neck) − 70.041·log₁₀(height) + 36.76 (men); +1.08·…−84.52 women; the 31.7% answer changes the conversation from "what if" to "how much".
What makes a calculation page trustworthy is that its copy is derived from its own arithmetic: here body fat = 31.7%, recomputed every time a field changes, and the sensitivity section ranks the inputs that move the result — Waist / hip circumference first, at ≈20.8 % of the headline for a ten-percent error either way in that input. Read the sections in order and you will be able to reproduce every figure by hand.
How Domestic Partnership Value is computed, line by line
Here is the complete model this tool runs — US Navy: BF% = 86.010·log₁₀(waist−neck) − 70.041·log₁₀(height) + 36.76 (men); +1.08·…−84.52 women — 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.
Weight (kg) (example value 100) is a measured number in the unit named by the label; the formula does not convert for you. Stay in one unit system top to bottom; conversion rounding is where small errors enter.
Height (cm) (example value 180) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. Small measurement errors grow here: a length that is squared or cubed in the model magnifies a one-percent slip into a three-percent answer.
Neck / waist circumference (cm) (example value 37) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. If you are unsure what belongs in this field, look at the printed steps: the substitution shows exactly how the engine uses it.
Waist / hip circumference (cm) (example value 97) 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.
Sex (example value Male) is a choice rather than a quantity — pick the option that matches your situation, because the calculation path branches here. The example value is there to demonstrate the mechanics, not to describe your situation — overwrite it.
What each “Sex” choice actually does: Male → 31.7% · Female → 2.0% — each value above is the model’s own output for that option, so the choice can be made on evidence rather than on what a category feels like it means.
Domestic Partnership Value on the example inputs: the complete substitution
The tool prints its own working; this is the same arithmetic on the example values, reproduced so you can follow it by hand. Starting figures: Weight (kg), Height (cm), Neck / waist circumference (cm), Waist / hip circumference (cm). The endpoint of that chain is 31.7% of body fat, sitting in the “Above the healthy band — the trend matters more than today’s point” band.
- Circumference difference waist−neck = 60.0 cm
- Navy formula (log₁₀ terms) → 31.7 %
- Fat mass = 100.0 × 31.7 % = 31.7 kg
Fat mass — 31.7 kg. If your inputs change, this is usually the first companion figure to move.
Lean mass — 68.3 kg. This is the number experienced users quote when the headline alone would mislead.
BMI — 30.9. 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.
The Domestic Partnership Value corridor: your result across a realistic band
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 Domestic Partnership Value, not an interpolation.
| Waist / hip circumference setting | Body fat |
|---|---|
| 80 % of the example value | 17.1% |
| 90 % of the example value | 25.2% |
| example inputs | 31.7% |
| 110 % of the example value | 37.3% |
| 120 % of the example value | 42.2% |
That spread — 17.1% at the low end, 42.2% at the high — is what a careful read of Domestic Partnership Value looks like: a band you can state out loud, with the reason for each edge. Reproduce it in the form above by editing Waist / hip circumference alone; the substitution steps will follow your figures exactly.
The levers behind Domestic Partnership Value, ranked by effect
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 body fat was recalculated from scratch. Read it as a map of where Domestic Partnership Value is fragile — drawn for the example inputs, which is the map you want when deciding what to measure carefully.
- Nudge Waist / hip circumference by ±10 % and Domestic Partnership Value lands between 25.2% and 37.3% (sensitivity ≈20.8 %)
- Height: ten percent up gives 28.8%, ten percent down gives 34.9% — ≈10.1 % of the body fat either way
- Neck / waist circumference: ten percent up gives 29.4%, ten percent down gives 34.0% — ≈7.5 % of the body fat either way
Waist / hip circumference is the dominant lever here: ten percent either way moves the result by about 20.8 %, from 25.2% to 37.3%. Measure that input from a document rather than from memory, and treat Height as the second priority (≈10.1 % per ten percent). The remaining fields can sit at safe defaults without materially changing the answer — knowing which is which is what separates a careful calculation from an anxious one.
Interpreting the Domestic Partnership Value verdict
A number on its own is trivia; a number against a range is intelligence. The default case lands in the “Above the healthy band — the trend matters more than today’s point” band, and bands are deliberately wide because real situations overlap. How much of that band is luck? On Waist / hip circumference alone ten percent either way covers 25.2% to 37.3%. The practical reading rules: compare against your own history before comparing against other people; treat band boundaries as zones, not walls — one point on the wrong side of a threshold rarely changes a real outcome; and when a companion output contradicts the headline, believe the pair.
The comparison worth making is not with somebody else’s Domestic Partnership Value but with the version of your own situation measured last quarter — same formula, same conventions, different inputs.
The errors that quietly break a Domestic Partnership Value figure
Hydration and recent meals shift centimetres — measure fasted, morning, same spot. 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 Fat mass. The companions are where the shape of the trade-off survives the rounding.
This model has its own particular trap: Waist / hip circumference carries ≈20.8 % of the response per ten percent of error, so effort spent elsewhere is largely decorative.
The subtlest error is answering the wrong question precisely. Confirm that body fat is actually the quantity your decision needs — the arithmetic is flawless either way, which is what makes the mistake invisible.
A quick check for any Domestic Partnership Value figure
- Verify each input against its original source document, not memory.
- Recompute once with the dominant input deliberately set low, and see whether the decision changes.
- Re-verify Waist / hip circumference against a source document — ten percent of error there moves the headline by ≈20.8 %.
- Check that every field the formula needs actually arrived from a document, not from recollection.
- Compare the output against one published benchmark or a colleague’s independent estimate.
- Repeat the ±10 % test on the inputs that matter and see whether the decision — not just the number — still holds.
How to use the Domestic Partnership Value 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 Domestic Partnership Value takes a minute to learn and applies to every input above.
Step 1 — start from evidence. The inputs behind Domestic Partnership Value are weight (kg), height (cm), neck / waist circumference (cm), waist / hip circumference (cm), sex. 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. When two sources disagree, it is almost never the arithmetic that differs.
Step 2 — baseline before exploration. Get one defensible Body fat on screen before you start nudging numbers. Without a baseline, every variation looks interesting and none of them means anything. The point of transparency is that a reader can disagree with a specific line rather than with you.
Step 3 — change one input at a time. Nudge a single field by ten percent, watch the headline and its companions move, then undo it. Two or three fields will dominate — the sensitivity table above already ranks them for this engine. Suspiciously tidy answers deserve the same scrutiny as untidy ones.
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. Note the assumption you are least sure about; that is where the real risk lives.
Step 5 — save the story with the figure. A number without its inputs and its date is unusable within a quarter. Record 31.7%, the assumptions behind it, and today’s date; your future self will be auditing a stranger’s arithmetic. Precision is a promise you make about your data; make sure your inputs can keep it.
Who actually uses Domestic Partnership Value — and when
In Family Law the figure computed here is usually the first one somebody asks to see. Having it — with the formula behind it — changes your position in the conversation from participant to reference. Suspiciously tidy answers deserve the same scrutiny as untidy ones.
The audience for this page is people who need one trustworthy number before their next decision. In professional Family Law practice the pattern is always the same — screen with Domestic Partnership Value, then invest slow analysis only in whatever survives the screen. The point of transparency is that a reader can disagree with a specific line rather than with you.
There is a personal-administration use people overlook: periodic self-checking. Domestic Partnership Value quietly drifts as life changes — rates move, bodies change, costs compound — and re-running it a few times a year catches drift while correction is still cheap. If a result feels obviously right, that is the moment to check the inputs hardest.
People also ask about Domestic Partnership Value
What affects Domestic Partnership Value the most?
Measured on this engine, Waist / hip circumference is the dominant lever: moving it ±10 % shifts the body fat across 25.2% to 37.3% — about 20.8 % of the headline, with Height next at ≈10.1 %. The ranked list in the sensitivity section is computed live, not asserted from a template.
Which matters more: height or waist / hip circumference?
For Domestic Partnership Value, Waist / hip circumference wins the head-to-head (≈20.8 % against ≈10.1 % per ten-percent change). Knowing which input dominates is the difference between careful work and merely slow work.
How much does the “Sex” choice change the answer?
A great deal, on these inputs: Domestic Partnership Value comes out at 2.0% on the lowest option (“Female”) and 31.7% on the highest (“Male”). Each option is listed with its computed value so you can see what the choice is worth before you make it.
What is a typical Domestic Partnership Value?
There is no honest universal average for Domestic Partnership Value, but there is a reference point: the defaults on this page produce 31.7% (Above the healthy band — the trend matters more than today’s point). Replace the inputs with your own and compare — that comparison is the useful meaning of “typical”.
How do I calculate Domestic Partnership Value by hand?
US Navy: BF% = 86.010·log₁₀(waist−neck) − 70.041·log₁₀(height) + 36.76 (men); +1.08·…−84.52 women is the entire method. Work the inputs in that order — Circumference difference waist−neck = 60.0 cm — and you will reach 31.7% on the default figures, the same number this tool prints.
What happens to Domestic Partnership Value if waist / hip circumference changes by 10 %?
Try it in the form above and the printed substitution will follow you; the pre-computed answer for the defaults is 25.2% to 37.3% across the ten-percent probe, i.e. ≈20.8 % sensitivity on the body fat.
Is the Domestic Partnership Value result of 31.7% good or bad?
Good and bad are comparisons, so the honest test is three questions: where does your own Domestic Partnership Value sit against the 31.7% reference above, how far would a plausible input error move it (≈20.8 % per ten percent on Waist / hip circumference), and what does the alternative option compute to?
What affects Domestic Partnership Value the most?
Sensitivity depends on where you start, but the inputs Weight (kg) and Height (cm) typically move Domestic Partnership Value 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.
How should I use 31.7% with a lawyer?
As an opening brief: show the inputs and the computed Domestic Partnership Value, let them correct the legal assumptions, then re-run. You will save billable hours and get a tighter range.
How accurate is tape-meat body fat?
±3 points versus DEXA in lean subjects, better in groups; the trend is reliable even when the level is soft.
Which formula is best for me?
Consistency beats formula choice — the same method, same conditions, every time.
Can this tool see the numbers I type?
It cannot. There is no submission step: the calculation happens in your browser and the result disappears when you close the page. Treat the fields above as a scratchpad rather than a form.
The vocabulary of Domestic Partnership Value
- Fat mass
- 31.7 kg on the example inputs — a companion figure printed beside the headline of Domestic Partnership Value so that no result is read in isolation.
- Lean mass
- 68.3 kg for the Domestic Partnership Value worked case; it sits next to the main result because it carries context the headline leaves out.
- BMI
- 30.9 on the example inputs — a companion figure printed beside the headline of Domestic Partnership Value so that no result is read in isolation.
- Body fat
- The primary output of this tool: 31.7% for the default inputs, computed exactly from US Navy: BF% = 86.010·log₁₀(waist−neck) − 70.041·log₁₀(height) + 36.76 (men); +1.08·…−84.52 women.
- Worked example
- Every substitution in order, from the example inputs to 31.7% — the audit trail for the headline figure.
- Verdict band
- A named zone on the range of plausible results; the example inputs land in “Above the healthy band — the trend matters more than today’s point”, and your inputs may not.
- Sensitivity (±10 %)
- How far the Domestic Partnership Value moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Methodology, sources and limits
The model is published arithmetic implemented exactly as written: US Navy: BF% = 86.010·log₁₀(waist−neck) − 70.041·log₁₀(height) + 36.76 (men); +1.08·…−84.52 women. Source of record: US Navy Body Composition Program method. Specialist software layers extra coefficients on top of the same algebra; none are hidden here, and that transparency is what makes a disagreement traceable to a specific input instead of a black box.
This page is an estimation aid, not professional advice. The design rule is simple: two people entering identical figures must get identical answers. What that buys you is reproducibility — two people, two browsers, the same arithmetic, and a printed trail from inputs to result that either of them can audit.
What to do with your Domestic Partnership Value next
Re-run the calculation with your own figures, stress the two most sensitive inputs by ±10 %, and only then act on the result.
Whoever you are (people who need one trustworthy number before their next decision), the next step is the same: replace the example inputs with your own, note the date, and re-run whenever a figure moves. In Legal & Law, a dated figure is a trend, and an undated one is a rumour.