What this calculator does

Run this scenario in DocketMath using the Wrongful Death Damages calculator.

DocketMath’s Wrongful Death Damages Estimator (Ohio) is a practical planning tool that helps you translate key case facts into an estimate range of wrongful death damages—so you can understand what numbers might matter most before you finalize a complaint, evaluate settlement posture, or model litigation scenarios.

This guide is written for Ohio (US-OH) and focuses on the damages estimation workflow, not legal strategy. It does not replace legal advice or case-specific analysis.

What you can estimate with DocketMath

The estimator is designed around common wrongful death damage categories typically discussed in Ohio cases, such as:

• Economic losses (for example, lost household services and financial support)
• Non-economic losses (for example, loss of society/companionship and other intangible impacts)
• Other case-specific components you may choose to model (e.g., certain cost items) depending on the inputs available in the tool

What it does not do

• It does not calculate punitive damages (those issues are governed by separate legal standards and are not part of a default wrongful-death damages planning model).
• It does not determine liability, apportion fault, or replace evidentiary proof.
• It does not function as a substitute for your attorney’s evaluation of Ohio law, evidentiary requirements, and jury considerations.

Quick access to the tool

If you’re ready to run numbers now, start here: /tools/wrongful-death-damages

When to use it

Use DocketMath’s wrongful-death estimator when you need a structured way to think about damages early, typically at one of these stages:

• Pre-filing evaluation: You have enough facts to estimate financial impact and intangible harm, and you want to sanity-check ranges.
• Settlement modeling: You’re comparing multiple scenarios (e.g., different earning assumptions, different duration of support, different non-economic valuation settings).
• Case budgeting: You want a defensible internal estimate for resource planning (expert workups, documentation gathering, etc.).
• Demand letter drafts (without treating the tool as legal advice): You want a coherent input-to-output narrative for damages categories.

Ohio timing context (statute of limitations)

In Ohio, the general statute of limitations is governed by:

• Ohio Rev. Code § 2901.13 (general limitations provisions)

For the general/default period, this guide uses the jurisdiction data provided:

• General SOL Period: 0.5 years
• General Statute: Ohio Rev. Code § 2901.13
• Source (statute text): https://codes.ohio.gov/assets/laws/revised-code/authenticated/29/2901.13/7-16-2015/2901.13-7-16-2015.pdf

No claim-type-specific sub-rule was found in the provided jurisdiction data. That means this guide treats § 2901.13’s general/default period as the baseline, rather than applying a separate wrongful-death-only limitations rule.

Step-by-step example

Below is a complete example workflow showing how inputs affect the estimator output. Exact fields can vary based on the DocketMath interface, but the logic stays consistent: you enter facts, DocketMath produces a modeled range by category.

Example case facts (Ohio)

Assume:

• Date of death: Jan 15, 2026
• Decedent age: 42
• Survivors: spouse and one minor child
• Claimed economic support: decedent contributed to household spending and childcare support
• Claimed household services: decedent provided services that would have to be replaced
• Claimed non-economic impact: loss of companionship and society (modeled in the tool via chosen valuation parameters)

Step 1: Enter basic case inputs

In the estimator:

1. Select **Jurisdiction: Ohio (US-OH)
2. Enter decedent age (42)
3. Enter number/type of survivors (e.g., spouse + 1 minor child) depending on the tool options

How this changes output: Survivor configuration affects the non-economic components and can also inform how economic loss is modeled (for example, whether household services and support assumptions are spread across dependents).

Step 2: Model economic losses

Next, enter economic inputs such as:

• Annual support contribution (or household contribution proxy)
• Estimated replacement duration (for example, through the child’s minority, if the tool supports that input)
• Household services estimate (if available as a separate field)
• Any included special items (e.g., certain cost items the tool lets you include)

Example numbers (for modeling purposes):

• Annual household support: $55,000
• Replacement horizon for services: 10 years (tool dependent)
• Replacement services amount: modeled via the support framework or a dedicated field

How this changes output: Economic losses generally scale with (annual amount) × (duration), then adjusted according to the estimator’s internal assumptions and any user-selected parameters.

Step 3: Model non-economic losses

Then you enter non-economic inputs such as:

• A valuation parameter for loss of society/companionship (presented as an adjustable setting in many estimator tools)
• The relationship strength proxy (spouse vs. child vs. other relationships), where supported

Example approach: Choose a non-economic valuation setting that corresponds to close-family relationships (spouse and minor child).

How this changes output: Non-economic totals typically move less dramatically than economic totals, but they still respond directly to the selected parameters and survivor relationships.

Step 4: Add case adjustments (if the tool supports them)

If the calculator includes optional modifiers, consider them only if you have a solid factual basis—examples might include:

• Pre-existing conditions affecting duration assumptions (entered carefully)
• Whether there are mitigating income/support changes that affect future household contributions

How this changes output: Adjustments usually reduce or reallocate modeled losses, changing the range.

Step 5: Review the results range and category breakdown

Finally, DocketMath produces:

• Estimated total wrongful death damages (range)
• A category breakdown (economic vs. non-economic, and any sub-components)

A typical review checklist:

• Does the economic component match your expectation based on annual support and duration?
• Does the non-economic component align with the survivor relationships you selected?
• Are you comfortable with the range width, or should you tighten assumptions with better documentation?

Common scenarios

Wrongful death damages modeling varies based on family structure, work patterns, and the economic role the decedent played. The estimator helps you test those differences quickly. Here are common scenario patterns you can model in DocketMath for Ohio.

Scenario A: Wage earner with significant household support

Inputs you’ll likely use:

• Higher annual support contribution
• Longer assumed replacement horizon
• Spouse and one or more dependents

Expected output behavior:

• Economic losses often dominate the total
• Non-economic losses remain meaningful but usually less sensitive than economic assumptions

Scenario B: Decedent primarily provided household services/childcare

Even with lower reported earnings, household services can still translate into economic loss.

Inputs you’ll likely use:

• Household services replacement estimate
• Support proxy reflecting childcare and household contributions
• Dependent-based horizon (e.g., until child reaches adulthood—if the tool supports that modeling)

Expected output behavior:

• Economic losses hinge on your chosen replacement services assumptions
• A narrow replacement horizon can significantly shrink totals

Scenario C: Limited dependents; older decedent

If dependents are fewer or older, the modeled economic duration may be shorter.

Inputs you’ll likely use:

• Lower or more limited survivor count
• Shorter economic replacement horizon
• Non-economic components for remaining close relationships

Expected output behavior:

• Total may drop primarily because duration inputs reduce the economic component
• Non-economic category still reflects relationship closeness options in the tool

Scenario D: Disputed economic assumptions (document uncertainty)

Sometimes the facts are incomplete—pay history, benefit contributions, or replacement costs are unclear.

How to use the estimator:

• Model two or three versions:

  • “Conservative” assumptions
  • “Moderate” assumptions
  • “High” assumptions (if facts support it)

Expected output behavior:

• You’ll see a wider range if economic duration and annual support are uncertain
• Category breakdown helps you identify which assumptions drive most of the difference

Tips for accuracy

You’ll get better estimator outputs when your inputs are grounded in records and you understand which inputs drive results.

Use documentation-backed inputs

Gather and reflect:

• Pay stubs or documented income history (if using income-based contribution)
• Household spending patterns (for support proxies)
• Evidence for childcare/household services role (for replacement assumptions)
• Survivor relationship details you select in the tool (for non-economic components)

Tighten the two biggest drivers: annual amount and duration

In most planning estimates, annual economic contribution and time horizon are the primary levers.

Use this checklist:

Keep survivor inputs consistent with the story you’ll tell

Non-economic components can be sensitive to:

• Relationship category (spouse vs. child)
• Survivor count
• Which relationships you model as “close”

Checklist:

Model multiple versions when

Related reading

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