Complete public lookup now covers 683,638 accepted people with full positive-year birthdates and deterministic sequences: 119,744 legacy rich-profile records plus 563,894 compact expansion records. Another 64,074 known records remain outside public lookup because a full-day calculation is unavailable. Source-specific charts below are labeled when they describe only the legacy subset; none of these records form a representative population.
What this page is for
Read the catalogue as a catalogue.
These charts describe the records currently indexed and the calculator outputs produced from those records. They do not estimate personality prevalence in the public.
CoverageDocumentation is uneven across era, country, occupation, gender, language, and fame.
HPIHistorical Popularity Index is an external visibility measure, not psychological importance or source certainty.
DatesOutliers, approximate years, disputed dates, and future-dated records require separate data-quality review.
OutputsPosition and co-occurrence counts describe the engine over this selected dataset, not lived psychological magnitude.
Boundary: A catalogue statistic is neither a representative-population estimate nor evidence that a type causes an occupation, lifespan, achievement, or historical role.
Total entries
683,638
119,744 rich profiles + 563,894 compact public records
Year range
1, 2039
includes outliers and uncertain records
Pantheon source rows
126,582
7,383 held for date review
Eager-loaded
7,640
HPI ≥ 70 (~1 MB)
Tier breakdown
Sliced by Historical Popularity Index
This chart describes the 119,744 legacy rich-profile subset, not all 683,638 searchable people. The HPI score (0–100) is an external visibility index based on Wikipedia coverage and engagement. It does not measure psychological importance, source certainty, or population representativeness. Higher-visibility Pantheon tiers load first for performance; lower Pantheon tiers load on demand.
Distribution across centuries in the legacy subset
This source-specific chart describes the legacy rich-profile catalogue. Pre-1500 appears in century buckets and 1500 onward in decade buckets. The recent-period drop partly reflects inclusion thresholds and incomplete documentation. It should not be read as a population trend.
Category distribution
Fields in the legacy Pantheon subset
These category bars describe Pantheon-origin legacy records, not the full expanded lookup. Sports has the largest share because globally tracked athletes often have well-documented birthdates. The pattern reflects selection and documentation, not population prevalence.
Sports
45,324
Politics
17,640
Entertainment
16,388
History
9,261
Music
9,094
Science
7,843
Writing
7,039
Arts
2,909
Religion
2,272
Business
1,424
Type distribution
Position-one types across the eager-load sample
Computed live from the 7,640 highest-fame figures. Each percentage shows what share of the calculations begin with that type. Position 1 is a structural address, not evidence that the type was strongest in the person’s life. Loading…
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Lifespan by type
Average age at death, by position 1
Lives that ended (so still-living figures are excluded) grouped by the first calculated position. This is a catalogue slice, not a claim about personality strength or which type tends to live longer.
Computing averages…
Type co-occurrence
Which position-two values follow position one
For each position-1 type (rows), the heatmap shows how often each type (columns) appears in position 2 of the recorded active order. Darker cells mean a more common calculated pairing, not a stronger psychological relationship. The diagonal is empty because repeated types collapse to one active entry.
Building heatmap…
Find your matches in the data
Enter your birthdate and see which historical figures share the same active order, early positions, and separate absence pattern.