↖︎ Vishal Singh

Data Article · Memory & Gender

Who Gets Remembered

4.4 million people have a Wikidata entry, an occupation, and a birth date. Slice them by birth cohort and gender and you get something rarer than a history of achievement — a measurement of memory itself, field by field, decade by decade.

What this measures. Not the workforce, and not talent. A person enters this data when the world's wiki editors decide they are worth an entry — so every number is a joint measurement of (a) who was allowed into a field, (b) who rose high enough to be noticed, and (c) whose lives editors write up. All three filters have historically pointed the same direction. That compound filter is the subject here.

Of the people born in the 1750s who are remembered with a Wikidata biography and an occupation, 4.8% are women. For the 1850s cohort it is 8.6%; for the 1900s, 14.3%; for the 1950s, 23.2%; for the 1980s, 35.9%. Whatever mix of access, achievement and archival attention this number contains, its direction over 250 years is unambiguous — and its level is still nowhere near half.

Women's share of remembered lives, by birth cohort

All 42 occupations pooled · cohorts 1700–2000

Data table
Figure 1. Line thickness is constant but confidence is not: the 1700s decades hold a few thousand people each, the 1970s–80s hold hundreds of thousands. Cohorts after ~1990 are still accumulating entries (young people become notable as careers mature) — the flattening at the right edge is partly that, not necessarily a stall.

1  Forty-two fields, one direction, wildly different speeds

The aggregate hides everything interesting. For people born in the 1980s, women are 80% of remembered nurses and models, 67% of psychologists, 59% of biologists, 53% of physicians — and 18% of physicists, 15% of computer scientists, 12% of military officers. Every field moved; almost no two moved alike. Psychology and biology feminized early and thoroughly; law converged late and fast; engineering and physics barely converged at all.

Women's share by field, cohorts 1850–2000

One panel per occupation, sorted by the 1980s-cohort share · midline = 50%

Data table (1980s cohort)
Figure 2. Panels share axes (0–100%, cohorts 1850–2000). Thin segments mark decades with fewer than 200 people, where shares are noisy. "Actor" includes film, TV and stage; "teacher" is school teaching. The sorting itself is the finding: care and performance fields at the top, machines and war at the bottom.

2  The eighty-year jump

Compare two cohorts directly — people born in the 1900s versus the 1980s — and the century's redistribution becomes a single picture. Remembered judges went from 3% women to 50%; physicians from 10% to 53%; architects from 5% to 46%. At the other end, chess, football, boxing and the officer corps barely moved. The pattern is not "professions with more women grew everywhere" — it is that fields differ enormously in how much the filter opened.

Born 1900s → born 1980s: the share that is women

One row per occupation, sorted by the 1980s value

Data table
Figure 3. Gray dot = 1900s birth cohort; blue dot = 1980s. The connector length is the century's change. Occupations missing a 1900s value (computer scientist, model as a profession) start at their earliest well-populated cohort instead — marked with an open dot.

3  What memory now consists of

The same data yields a second, stranger finding: what kinds of lives get remembered has been revolutionized. Among remembered people born in the 1850s, the largest groups are politicians, clergy adjacent academics, painters, writers. Among those born in the 1980s, athletes dominate — largely footballers, the best-documented occupation on the modern internet — with performers second and politicians a shrinking sliver. Fame's genre has shifted from governing and writing to playing and performing.

Composition of remembered lives, by birth cohort

Share of each cohort's biography subjects by field group · 1850–2000

Data table
Figure 4. Groups are aggregates of the 42 collected occupations (a person with occupations in two groups counts in both). Sports' takeover of recent cohorts partly reflects Wikipedia's completeness for athletes — every professional footballer meets notability rules; most engineers never will. That editorial asymmetry is part of what "being remembered" now means.

Two facts, then, travel together: the remembered world is slowly becoming less male, and it is rapidly becoming more athletic and theatrical. Both are usually told as stories about society. They are also — inseparably — stories about the archive: who its editors are, what its notability rules admit, and which lives leave records at all. The archive is not a mirror. It is a lens, and this is its current prescription.

Data & methods

  • Source. Wikidata (CC0), aggregate SPARQL queries per occupation, 2026-07-09: humans with the occupation (P106), a binary-recorded gender (P21), and a birth date (P569), grouped by birth decade. 42 occupations chosen for size and story coverage; occupation QIDs verified against English labels before collection.
  • Shares use male+female only. People recorded as other genders (~0.1–0.3% depending on field) are counted in totals but not shares; people missing gender or birth date are excluded entirely — both exclusions disproportionately affect less-documented (older, non-Western) subjects.
  • Multi-occupation people appear once per occupation they hold (a physicist-philosopher counts in both panels). Figure 1 therefore slightly over-weights polymaths; the effect is small and stable across cohorts.
  • Cohort truncation. Post-1985 cohorts are incomplete (notability accrues with career age) and skew toward early-fame fields — athletes, performers. Trend claims stop at the 1980s cohort.
  • Western skew. Wikidata's coverage is densest for Europe and the Anglosphere; these numbers describe the global archive, which is not globally representative.
  • Language. "Remembered" throughout means "has a Wikidata entry with these properties" — the archive's memory, not humanity's.