◆ Database statistics

Two thousand years of recorded lives

119,194 figures from year 1 to 2039, drawn from the public Historical Popularity Index plus curated additions. Here's how they distribute.

Total entries
119,194
+127 hand-curated
Year range
1 — 2039
2,038 years
Categories
10
Politics to business
Eager-loaded
7,640
HPI ≥ 70 (~1 MB)
Tier breakdown
Sliced by Historical Popularity Index
The HPI score (0-100) measures how globally recognized a figure is, based on Wikipedia coverage and engagement. The eager-loaded tiers cover everyone the average user will recognize; the deeper tiers (HPI < 70) hold the long tail and only load on demand.
1.1k
6.5k
24.8k
37.9k
48.9k
Tier 1 (HPI ≥ 80) eager Tier 2 (70-80) eager Tier 3-5 lazy
Era density
Distribution across centuries
Pre-1500 in century buckets, 1500-onward in decade buckets. The dataset's age-threshold for inclusion is why 2000s drops sharply — recent births haven't yet accumulated the fame to register.
Era density chart
Category distribution
Where the famous come from
Sports has the largest share — globally tracked athletes have well-documented birthdates. Politicians and entertainers follow. The smaller "business" category reflects how recent a phenomenon "famous business person" is in historical terms.
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
Dominant types across the eager-load sample
Computed live from the 7,640 highest-fame figures. Each percentage shows what share of these entries have that type as their dominant. Loading…
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Lifespan by type
Average age at death, by dominant
Lives that ended (so still-living figures are excluded) grouped by their dominant type. Reflects who happened to die early vs late among the famous figures we have data for — not a claim about which type tends to live longer.
Computing averages…
Type co-occurrence
Which secondaries follow which dominants
For each dominant type (rows), the heatmap shows how often each secondary type (columns) appears in position 2 of the sequence. Darker cells = more common pairing. The diagonal is empty because a type can't be its own secondary.
Building heatmap…
Find your matches in the data
Enter your birthdate and see which historical figures share your sequence — top type, secondary, and the way the rest stack up.
Match against history →