Damages Allocation Guide for Northern Mariana Islands — Comparative Fault Rules
7 min read
Published March 22, 2026 • By DocketMath Team
What this calculator does
Run this scenario in DocketMath using the Damages Allocation calculator.
DocketMath’s Damages Allocation tool helps you estimate how a jury (or judge) may allocate damages among parties based on comparative fault in the Northern Mariana Islands (US-MP). It’s designed for situations where more than one person (or entity) may be responsible for the same harm and fault is contested.
At a high level, the calculator uses a comparative fault allocation model:
- Assign percent fault to each responsible party (e.g., 70% plaintiff, 30% defendant—if the fact pattern supports it).
- Apply those percentages to compute each party’s share of recoverable damages.
- Handle common variations like total damages, economic vs. non-economic categories, and multiple defendants.
Note: This guide focuses on comparative fault-based allocation. It does not attempt to model every damage limitation, evidentiary issue, or specialized doctrine that may apply in a particular case.
What the output typically includes
Depending on how you run the tool, you’ll generally see:
| Output | What it means | Why it changes |
|---|---|---|
| Net damages recoverable (overall) | Total damages reduced by plaintiff’s fault | Changes when plaintiff’s % fault changes |
| Defendant share(s) | Each defendant’s percentage of the remaining damages | Changes with how fault is split among defendants |
| Category splits | Allocation by damage type (if you enter categories) | Changes when you enter different totals per category |
| Sanity checks | Warnings if inputs don’t sum to ~100% | Prevents unrealistic allocations |
If you’re new to the workflow, start with the primary CTA here: /tools/damages-allocation.
You can also review related workflows in /tools via this link (handy for how DocketMath structures inputs): /tools/damages-allocation.
When to use it
Use DocketMath when you need a defensible, transparent way to estimate how comparative fault could affect recoverable damages in a Northern Mariana Islands case.
Good fit for these use cases
- Car and pedestrian incidents where both parties’ conduct is contested.
- Slip-and-fall disputes involving alleged negligence by a premises party and contributory conduct by a claimant.
- Multi-defendant cases (e.g., two drivers, or a contractor + property operator) where fault is apportioned.
- Scenarios where you want to test “what if” outcomes:
- What happens if plaintiff’s fault is argued as 10% vs. 40%?
- What happens if the fault split between two defendants changes from 60/40 to 50/50?
Situations where the tool may be less reliable
- Cases driven mostly by strict liability or a doctrine that doesn’t hinge on comparative fault in the same way.
- Damage calculations dominated by special statutes, caps, or mandatory offsets that aren’t modeled by the tool inputs you provide.
- Disputes where fault allocation is uncertain to the point that percent fault would be speculative (the calculator can still run, but results will be scenario-based).
Step-by-step example
Below is a worked example using a hypothetical Northern Mariana Islands comparative fault setup. The goal is to show how inputs drive outputs, not to predict a real case result.
Scenario
A claimant is injured in a roadway incident involving two drivers and a pedestrian. Parties argue the claimant’s own behavior contributed to the accident.
- Total proven damages (before allocation): $120,000
- Economic damages: $70,000
- Non-economic damages: $50,000
Fault is disputed; you enter these assumptions for the scenario:
- Plaintiff (claimant): 25%
- Defendant A (Driver 1): 50%
- Defendant B (Driver 2): 25%
Step 1: Enter the damage totals
In the DocketMath calculator (/tools/damages-allocation), you would enter:
- Total damages: $120,000
- Category breakdown (optional but recommended):
- Economic: $70,000
- Non-economic: $50,000
How the output changes: If you enter only total damages, the calculator will allocate the same reduction proportionally. If you enter categories, you’ll see category-by-category outcomes.
Step 2: Enter comparative fault percentages
Add parties and percentages:
- Plaintiff: 25
- Defendant A: 50
- Defendant B: 25
Sanity check expectation: Most comparative-fault models require the percentages to sum to 100%. If they don’t, the tool should flag a warning.
Warning: If your percentages add to 90% or 110%, the tool’s allocation math can produce misleading results. Adjust inputs until the totals make sense for your scenario.
Step 3: Apply the plaintiff fault reduction
A comparative fault model reduces the claimant’s recoverable amount by the claimant’s percentage fault.
- Claimant’s non-recoverable share (25%):
$120,000 × 0.25 = $30,000 - Recoverable damages (after reduction):
$120,000 × 0.75 = $90,000
Step 4: Allocate the remaining damages among defendants
Now allocate the remaining $90,000 across defendants based on their fault shares relative to the non-claimant fault.
Non-claimant fault = Defendant A 50% + Defendant B 25% = 75%
- Defendant A share: (50 / 75) × $90,000 = $60,000
- Defendant B share: (25 / 75) × $90,000 = $30,000
Example results summary
| Component | Amount |
|---|---|
| Total damages | $120,000 |
| Plaintiff fault (25%) | -$30,000 |
| Recoverable damages | $90,000 |
| Defendant A share (50% of non-claimant fault) | $60,000 |
| Defendant B share (25% of non-claimant fault) | $30,000 |
What happens if the plaintiff’s fault changes?
Try a quick sensitivity run:
- If plaintiff were found 10% at fault instead:
- Recoverable = $120,000 × 0.90 = $108,000
- Defendant A share = (50/90)×$108,000 = $60,000
- Defendant B share = (25/90)×$108,000 = $30,000
Interestingly, in this specific scenario the defendants’ dollar totals stayed the same because the defendant fault percentages didn’t change—only the plaintiff’s portion did. In other fact patterns, different re-allocation arguments will move everyone.
Common scenarios
Comparative fault disputes come in recurring patterns. Here are practical examples you can mirror in DocketMath.
1) Two-party crash (plaintiff + one defendant)
Inputs:
- Total damages: $80,000
- Plaintiff fault: 20%
- Defendant fault: 80%
Typical outcome logic:
- Recoverable = $80,000 × 0.80 = $64,000
- Defendant pays = $64,000
Use this when you expect a single defendant and the dispute is about proportional fault.
2) Multi-defendant allocation (split among two defendants)
Inputs:
- Total damages: $200,000
- Plaintiff fault: 30%
- Defendant A: 45%
- Defendant B: 25%
Allocation approach:
- Recoverable = $200,000 × 0.70 = $140,000
- Defendant A gets (45/70) × $140,000 = $90,000
- Defendant B gets (25/70) × $140,000 = $50,000
3) Category-driven planning (economic vs. non-economic)
Sometimes teams want to understand how comparative fault affects each category for mediation demands or settlement ranges.
Example inputs:
- Economic damages: $60,000
- Non-economic: $40,000
- Total: $100,000
- Plaintiff fault: 35%
- Defendant fault: 65%
Recoverable:
- Economic: $60,000 × 0.65 = $39,000
- Non-economic: $40,000 × 0.65 = $26,000
- Total recoverable: $65,000
Run this when your settlement posture depends on how much of the claim is “hard” vs. “pain and suffering” style damages.
4) “All parties at fault” narratives
In some disputes, the parties frame fault broadly:
- Plaintiff fault alleged: 40%
- Defendant A: 35%
- Defendant B: 25%
Recoverable:
- $Total × 0.60 Defendants:
- allocated proportionally among the non-plaintiff fault pool.
Use this if your briefing expects an apportionment among multiple actors.
5) “Extreme fault” scenario testing
Even if you don’t believe an extreme outcome is likely, it’s often useful to model outcomes across a range:
- Plaintiff fault scenarios: 10% / 30% / 50%
- Keep total damages constant
What you learn:
- Whether your settlement range is fragile to fault arguments
- Which damages categories matter most to the net number
Tips for accuracy
Getting the most reliable estimates from DocketMath depends on disciplined inputs. Use the checklist below.
Fault input checklist
Damages input checklist
Sources and references
Start with the primary authority for Northern Mariana Islands and confirm the effective date before relying on any output. If the rule has been amended, update the inputs and rerun the calculation.
Related reading
- Damages Allocation Guide for Alabama — Comparative Fault Rules — Complete guide
- Damages Allocation Guide for Alaska — Comparative Fault Rules — Complete guide
