Spreadsheet checks before running Closing Cost in Virginia

What the checker catches

Run this scenario in DocketMath using the Closing Cost calculator.

Running a closing cost calculation in Virginia without validating your spreadsheet inputs first is a common way to end up with totals that look reasonable but are based on incorrect assumptions. DocketMath’s spreadsheet checker (US-VA) is built to catch the input and mapping problems that most often break closing-cost math—before you run Closing Cost.

Here’s what the checker is designed to identify in a Virginia-focused workflow:

• Loan type mismatches

  • Example: marking a loan as “purchase” when it’s actually “refinance.”
  • Why it matters: Virginia closing-cost logic typically expects different fee categories and inclusion rules depending on the scenario, so totals can change even if the dollar amounts you typed are the same.

• Conflicting dates

  • Examples:

    • Closing date earlier than contract date.
    • Estimated settlement/closing date missing.
    • Date fields saved as text rather than true spreadsheet dates.
  • Why it matters: date-driven logic (such as prorations or conditional rows) can produce incorrect results when dates are missing, misordered, or formatted incorrectly.

• Improper numeric formats

  • Common spreadsheet failure modes:

    • Values stored as text (e.g., "2500" instead of 2500).
    • Currency symbols embedded (e.g., "$1,250").
    • Commas used inconsistently or treated as text.
  • Why it matters: spreadsheet formulas and calculators may ignore text-formatted numbers, leading to totals that are too low or missing certain components.

• Missing required fields for US-VA closing-cost logic

  • The checker helps confirm you didn’t leave blank amounts that the Closing Cost calculation needs for totals—such as taxes, lender fees, or other fee lines you mapped into the sheet.

• Out-of-range amounts

  • Examples:

    • Negative fee values where you didn’t explicitly mark them as credits.
    • Totals that are wildly higher/lower than the sum of their underlying line items.
  • Why it matters: these issues often indicate either a sign error (charge vs credit), a mapping problem, or an input row accidentally duplicated or omitted.

• Duplicate or mis-mapped line items

  • Examples:

    • Adding the same appraisal fee twice—once under “lender” and again under “third-party.”
    • Pointing two spreadsheet rows at the same fee category while the calculator expects them to land in distinct buckets.
  • Why it matters: duplication can inflate totals, while mis-mapping can cause amounts to land in the wrong parts of the closing-cost model.

• Unbalanced totals

  • The checker flags cases where:

    • The calculator expects “sum of components = total,” but your spreadsheet total doesn’t reconcile.
    • Credits aren’t treated consistently (credits vs charges), causing net totals to drift.
  • Why it matters: reconciling structure is often the fastest way to catch issues that aren’t obvious by visual inspection.

Pitfall to watch for: Even if your spreadsheet “totals” seem to add up internally, category mapping may still be wrong (for example, a fee intended for lender costs placed into an escrow bucket). In that case, the calculator can generate a clean-looking number that is materially incorrect. This is exactly the kind of structural mismatch the checker is meant to surface.

Use the checker as a gatekeeper: confirm your sheet is calculator-ready in US-VA before you run DocketMath → Closing Cost.

When to run it

Use the checker at the points in your workflow where errors are easiest to prevent and hardest to diagnose later. A practical cadence for Virginia closing-cost work:

• Before running the Closing Cost calculator

  • Run the checker after you finish entering loan details and fees, but before generating final totals.

• After any spreadsheet edits

  • Re-check when you:

    • Change the closing date or settlement date.
    • Update purchase price or loan amount.
    • Add or remove fee lines.
    • Reclassify a fee from one bucket to another (e.g., lender vs third-party).

• When you import or copy data

  • If you paste from another spreadsheet or template, run the checker immediately.
  • Formatting changes (like numbers turning into text) often happen silently during copy/paste.

• When scenario assumptions change

  • If you switch between “purchase” and “refinance,” or toggle a fee inclusion assumption, don’t reuse the previous run.
  • Re-run the checker first so the sheet structure aligns with the new scenario.

A simple workflow:

**How outputs change when inputs change (what to expect)

• Dates: shifting dates can change which rows qualify or how date-driven prorations are handled.
• Numeric formatting: text-formatted numbers can be ignored by formulas, which often makes totals appear “too low.”
• Loan type: changing “purchase” vs “refinance” can alter which fee categories are expected; totals can move significantly even if you didn’t change the raw fee amounts.
• Credits vs charges: if a credit is entered with the wrong sign or category, the net total can swing by hundreds or thousands.

Gentle note: this is a validation step, not legal advice. If you’re using results for real-world decisions, treat the output as a calculation aid and confirm assumptions with the relevant transaction documents and professionals.

Try the checker

If you want to validate a Virginia closing-cost spreadsheet before calculating totals, use DocketMath as your workflow hub.

1. Open the Closing Cost tool:

   • Primary CTA: /tools/closing-cost
2. Load or enter your US-VA spreadsheet inputs.
3. Run the spreadsheet checker step before calculating.
4. Review any flagged items, then correct your sheet (for example):

   • Convert text-to-number values so fees are treated numerically.
   • Reconcile totals to component sums.
   • Verify the mapping of fees into the correct categories.

A quick “what to look for” checklist while using the checker:

When your sheet is checker-clean, running Closing Cost becomes much more reliable—especially in Virginia workflows where small input issues (date formatting, loan-type flags, or sign errors) can ripple into prorated or categorized totals.

Related reading

• Average closing costs in Alabama — Rule summary with authoritative citations
• Average closing costs in Alaska — Rule summary with authoritative citations
• Average closing costs in Arizona — Rule summary with authoritative citations