Tags
Aktuelle Nachrichten
America
Aus Aller Welt
Breaking News
Canada
DE
Deutsch
Deutschsprechenden
Europa
Europe
Global News
Internationale Nachrichten aus aller Welt
Japan
Japan News
Kanada
Karte
Konflikt
Korea
Krieg in der Ukraine
Latest news
Nachrichten
News
News Japan
Russischer Überfall auf die Ukraine seit 2022
Science
South Korea
Ukraine
Ukraine War Video Report
UkraineWarVideoReport
Ukrainian Conflict
UkrainianConflict
United Kingdom
United States
United States of America
US
USA
USA Politics
Vereinigte Königreich Großbritannien und Nordirland
Vereinigtes Königreich
Welt
Welt-Nachrichten
Weltnachrichten
Wissenschaft
World
World News
4 Comments
Data from the SSA: [https://www.ssa.gov/oact/babynames/limits.html](https://www.ssa.gov/oact/babynames/limits.html)
Made using plotly.
Why did I do this? Apparently my name, Christopher, peaked in 1980. Surprisingly, during that decade, it was given to 10,000 female babies as well. So, Christopher is a unisex name. Sort of. In fact, 95% are “unisex” if you define it as given to at least one baby of either sex.
However, most such names are overwhelming given one sex. Examples of “true” unisex names: Nike, Whiskey, Sea, Oakley…
(The spike is probably due to “names” like Notnamed and Unknown)
I wrote more about Christopher here: [https://csferrie.medium.com/the-christopher-paradox-why-was-everyone-named-chris-in-the-1980s-fd959d9dfd27](https://csferrie.medium.com/the-christopher-paradox-why-was-everyone-named-chris-in-the-1980s-fd959d9dfd27)
Really fascinating, I’ve never seen this data approached like this before!
Someone talk me through this…where is the time axis?
“Hunter” seems to be a popular name but I don’t recall hearing of anyone named “Gatherer.”