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What My GEDCOM Reveals: A Snapshot of the WheelerMcGinty Tree

·470 words·3 mins

This site is built from two things: stories and receipts. The “receipts” live in my working genealogy database, and one way I keep myself honest is by periodically exporting a GEDCOM and asking: what does the tree actually contain?

Below is a snapshot of the current GEDCOM export.

Tree size (current export)
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  • Individuals: 27,840
  • Families: 9,307
  • Sources: 1,040
  • Media objects: 1,555

(Counts are taken directly from the GEDCOM record types.)

Top surname clusters
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Counting surnames as they appear in GEDCOM NAME entries (which can include alternate names), the largest clusters are:

  1. Wheeler — 1,936
  2. Woodbury — 997
  3. Worcester — 350
  4. Tuttle — 270
  5. Baker — 256
  6. Rice — 250
  7. Tolles — 244
  8. Smith — 227
  9. Beasecker — 209
  10. Dodge — 199

These counts are useful not just for “what’s big,” but for deciding what to prioritize for cleanup and story releases.

A real-world problem: surname variants
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One thing GEDCOM exports reveal immediately is how often a surname splits into variants (spacing, capitalization, indexer choices, etc.). A few examples from this export:

McGinty / Ginty variants
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  • McGinty — 89
  • Mc Ginty — 5
  • Mcginty — 4
  • Ginty — 21

Mackenzie variants
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  • Mackenzie — 106
  • MacKenzie — 7

This matters because it affects:

  • tag pages (e.g., /tags/mcginty/ vs /tags/ginty/)
  • search relevance
  • duplicate detection

Normalizing variants is one of the fastest ways to make the public site feel “clean.”

Geography: where the paper trail clusters
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Place fields are messy by nature (“England” vs “Town, County, State”), but even with inconsistencies you can see strong hubs.

Birthplace signals (high-level)
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By occurrences in birth place entries, the strongest hubs include:

  • Massachusetts (especially Essex + Middlesex County towns)
  • England (often recorded generically as “England”)
  • Midwest clusters: Indiana, Ohio, Illinois
  • A notable cluster in Poplacin, Mazowieckie, Poland (shows up frequently)

Death place signals
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Top death places include:

  • England (again, often generic)
  • Beverly, Essex, Massachusetts
  • Chicago, Cook, Illinois
  • Concord, Middlesex, Massachusetts
  • Poplacin, Mazowieckie, Poland

This helps me decide which “place hubs” deserve dedicated pages and which tags should be curated.

Data quality checks (because genealogy runs on receipts)
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A few cleanup flags surfaced in this export:

  • 24 records where the first captured birth-like year is later than the first death-like year
    (usually a swapped date, wrong attachment, or a merge artifact)
  • Duplicate “historical/royalty” profiles (common after importing/merging)
  • Place formatting inconsistency (“England” vs “Town, County, Country”)

None of these are fatal. They’re just the normal maintenance work of a long-running tree.

What I’m doing next
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  1. Normalize the biggest surname variants (McGinty/Ginty; Mackenzie/MacKenzie; etc.).
  2. Standardize places for the biggest hubs (Essex/Middlesex MA; Chicago IL; key Ireland/Poland locations).
  3. Use the cleaned dataset to drive weekly story releases by branch.

If you’re connected to any of these families—or if you notice a place/surname split that should be merged—please reach out via Contact.