What this calculator does

DocketMath’s Wrongful Death Damages Estimator (Virginia) helps you estimate the possible dollar range of damages typically discussed in a Virginia wrongful death context. It’s designed for planning, budgeting, and case assessment—not courtroom numbers.

The estimator generally models three high-level categories that often come up in Virginia wrongful death discussions:

• Economic losses (for example, benefits the decedent would likely have contributed)
• Non-economic losses (often tied to concepts like loss of companionship, comfort, and related harms)
• Statutory and practical adjustments that can affect how a claim is presented and valued

Because this tool is an estimator, the result is best treated as a scenario-based range rather than a predicted verdict.

If you want to run your own estimate, start here: /tools/wrongful-death-damages.

When to use it

Use the DocketMath estimator when you need a structured way to think through damages before you have final evidence (or when evidence is still being gathered). It’s especially useful in these situations:

• Early case intake (0–60 days): You want a starting range while medical records, wage history, and family circumstances are still being organized.
• Demand package drafting: You need a consistent framework for how economic and non-economic components might be calculated.
• Settlement strategy discussions: You want to see how changing key assumptions (earnings, life expectancy, household contributions) affects the estimate.
• Comparison of scenarios: You’re deciding between different assumptions (e.g., single-income vs. multiple-income household contribution models).

Check the tool if you’re prepared to enter assumptions about:

• the decedent’s income and earning capacity
• the survivors (who may claim damages in practice)
• the time horizon over which contributions would have continued
• whether you’re modeling a full-time contribution or a narrower impact

Step-by-step example

Below is a realistic walkthrough using a sample set of facts. Your numbers will differ, but the mechanics mirror what the estimator is built to do.

Example: “Jordan,” a 38-year-old decedent with a family

Step 1: Choose the basic case setup

Assume:

• Decedent age at death: 38
• Filing context: Virginia wrongful death
• Survivors: spouse and one child

In many wrongful death discussions, those facts matter because they influence:

• the likely period of contribution
• the non-economic impact components commonly argued
• the way damages are allocated among eligible claimants (the tool uses an estimator model rather than a legal allocation formula)

Step 2: Enter earnings and income assumptions

Assume:

• Annual wages (gross): $85,000
• Overtime/variable income estimate: $7,000
• Total annual income input: $92,000

If you expect a different pattern (for example, declining overtime or a career pivot), you can reflect that by adjusting the earning inputs. In the estimator, higher annual income generally increases the economic component and may also increase overall exposure.

Step 3: Model household contribution assumptions

Assume:

• Percentage of income contributed to household: 60%

This is a practical modeling choice. The reason it matters:

• If the decedent would have spent more independently and less on the household, the economic loss estimate can be lower.
• If the decedent contributed a larger share, the economic loss estimate rises.

In this example, the estimated household contribution is:

• $92,000 × 60% = $55,200 per year

Step 4: Choose the time horizon for contributions

Assume the estimator uses a “survival contribution period” of 25 years based on the scenario assumptions and the decedent’s age.

Estimated economic contribution period:

• $55,200 × 25 = $1,380,000 (before any discounting or modeling adjustments in the calculator)

Step 5: Add non-economic drivers (scenario modeling)

Assume non-economic inputs reflect:

• Spouse: close daily companionship, long-term marriage
• Child: direct caregiving and day-to-day support

In the estimator, this doesn’t “prove” the value of grief or loss in a precise way. Instead, it provides a structured way to reflect differences between:

• minor vs. adult children involvement
• short-term vs. long-term relationship context
• whether there is ongoing hardship evidence

Higher non-economic inputs in the tool generally increase the non-economic component and the total estimated range.

Step 6: Review the tool’s estimated output range

After entering your values, you’ll receive an estimated damages range and component breakdown (economic vs. non-economic, depending on the calculator’s structure).

Typical interpretation:

• Economic component is most sensitive to: income, contribution percentage, and time horizon.
• Non-economic component is most sensitive to: relationship context and scenario inputs.

What changes the output the most in this example?

Use the “what-if” logic:

Common scenarios

Wrongful death damages estimating isn’t one-size-fits-all. Here are common scenario patterns that tend to produce different outputs when you run the DocketMath estimator.

1) Single-income household vs. dual-income household

• Single-income household: Economic loss often models a larger share as household contribution, and the estimate may trend higher.
• Dual-income household: Contribution modeling may be split or reduced depending on your inputs (e.g., spouse income continuity).

2) Young decedent vs. older decedent

• Younger decedent: Time horizon is often longer, increasing the economic component.
• Older decedent: Time horizon shorter, typically reducing the economic component.

3) Dependents with different ages

• Minor child: Frequently supports a scenario where caregiving contributions are modeled as more central.
• Adult child: Non-economic and economic impact modeling can differ based on your scenario inputs.

4) Decedent with variable income

If income is seasonal, commission-based, or inconsistent, the estimator’s output will be sensitive to:

• your chosen average income input
• your decision on whether variable income continues

A practical approach is to run two versions:

• a “conservative average”
• an “optimistic average”

Then compare the ranges.

5) Clear caregiving role vs. limited participation

Where your case facts support the decedent’s daily role (parenting, caregiving, household management), non-economic inputs in the estimator can drive a wider spread in total estimates.

Tips for accuracy

You’ll get better estimator results by treating the inputs like a worksheet you can defend with documentation. The goal is consistency between:

• your assumptions
• your available records
• your narrative of impact

Use evidence-backed numbers

When possible, pull numbers from:

• pay stubs, tax returns, or employer statements
• documented expenses (for household contribution reasoning)
• medical timelines and family circumstances you can support

Run multiple scenarios (minimum 2)

Instead of relying on one set of assumptions, try:

• Scenario A: conservative

  • lower income average
  • lower contribution percentage
  • shorter time horizon
  • more modest non-economic assumptions
• Scenario B: supported optimistic

  • higher (but still defensible) income average
  • contribution percentage based on household reality
  • longer horizon consistent with the decedent’s life stage
  • stronger non-economic scenario inputs

This gives you a range that’s more useful for planning.

Document your contribution percentage thinking

The contribution percentage is often a “modeling choice,” not a fixed fact. Make it defensible by tying it to:

• how household finances actually worked
• whether other income covered expenses consistently after the decedent’s death
• recurring household responsibilities the decedent handled

Keep a change log

As you refine inputs, record:

• what you changed
• why you changed it
• what changed in the output

A simple checklist helps.

Don’t over-focus on decimals

Many inputs are approximations. If a change from 60% to 62% doesn’t match any new evidence, don’t keep tweaking. Instead, prioritize meaningful changes like:

• income average shifts
• different earning trajectories
• major time horizon assumptions

Related reading

• Browse the blog

Related reading

• Wrongful Death Damages Estimator Guide for Alabama
• Wrongful Death Damages Estimator Guide for Arizona
• Wrongful Death Damages Estimator Guide for California