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State
stringclasses
51 values
Gender
stringclasses
2 values
Year
int64
1.91k
2.02k
Name
stringlengths
2
15
Count
int64
5
10k
AK
F
1,910
Mary
14
AK
F
1,910
Annie
12
AK
F
1,910
Anna
10
AK
F
1,910
Margaret
8
AK
F
1,910
Helen
7
AK
F
1,910
Elsie
6
AK
F
1,910
Lucy
6
AK
F
1,910
Dorothy
5
AK
F
1,911
Mary
12
AK
F
1,911
Margaret
7
AK
F
1,911
Ruth
7
AK
F
1,911
Annie
6
AK
F
1,911
Elizabeth
6
AK
F
1,911
Helen
6
AK
F
1,912
Mary
9
AK
F
1,912
Elsie
8
AK
F
1,912
Agnes
7
AK
F
1,912
Anna
7
AK
F
1,912
Helen
7
AK
F
1,912
Louise
7
AK
F
1,912
Jean
6
AK
F
1,912
Ruth
6
AK
F
1,912
Alice
5
AK
F
1,912
Esther
5
AK
F
1,912
Ethel
5
AK
F
1,912
Margaret
5
AK
F
1,912
Marie
5
AK
F
1,913
Mary
21
AK
F
1,913
Elizabeth
9
AK
F
1,913
Margaret
8
AK
F
1,913
Helen
7
AK
F
1,913
Alice
5
AK
F
1,913
Annie
5
AK
F
1,913
Louise
5
AK
F
1,914
Mary
22
AK
F
1,914
Margaret
10
AK
F
1,914
Alice
8
AK
F
1,914
Annie
8
AK
F
1,914
Elizabeth
7
AK
F
1,914
Helen
7
AK
F
1,914
Clara
6
AK
F
1,914
Dorothy
6
AK
F
1,914
Martha
6
AK
F
1,914
Agnes
5
AK
F
1,914
Esther
5
AK
F
1,914
Frances
5
AK
F
1,914
Julia
5
AK
F
1,914
Lillian
5
AK
F
1,914
Mildred
5
AK
F
1,914
Pauline
5
AK
F
1,915
Mary
23
AK
F
1,915
Alice
13
AK
F
1,915
Helen
12
AK
F
1,915
Anna
10
AK
F
1,915
Dorothy
10
AK
F
1,915
Margaret
9
AK
F
1,915
Ruth
9
AK
F
1,915
Elizabeth
7
AK
F
1,915
Frances
6
AK
F
1,915
Katherine
6
AK
F
1,915
Martha
6
AK
F
1,915
Annie
5
AK
F
1,915
Clara
5
AK
F
1,915
Emma
5
AK
F
1,915
Hazel
5
AK
F
1,915
Julia
5
AK
F
1,915
Marie
5
AK
F
1,915
Minnie
5
AK
F
1,915
Pauline
5
AK
F
1,916
Mary
18
AK
F
1,916
Helen
12
AK
F
1,916
Dorothy
8
AK
F
1,916
Frances
8
AK
F
1,916
Ruth
8
AK
F
1,916
Alice
7
AK
F
1,916
Anna
7
AK
F
1,916
Agnes
6
AK
F
1,916
Annie
6
AK
F
1,916
Julia
6
AK
F
1,916
Lillian
6
AK
F
1,916
Margaret
6
AK
F
1,916
Daisy
5
AK
F
1,916
Edna
5
AK
F
1,916
Esther
5
AK
F
1,916
Evelyn
5
AK
F
1,916
Florence
5
AK
F
1,916
Katherine
5
AK
F
1,916
Louise
5
AK
F
1,916
Lucy
5
AK
F
1,916
Marie
5
AK
F
1,916
Sally
5
AK
F
1,917
Mary
21
AK
F
1,917
Margaret
11
AK
F
1,917
Helen
10
AK
F
1,917
Frances
9
AK
F
1,917
Alice
7
AK
F
1,917
Olga
7
AK
F
1,917
Ruth
7
AK
F
1,917
Clara
6
AK
F
1,917
Dorothy
6
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US Baby names

The SSA dataset with baby names: https://www.ssa.gov/OACT/babynames/

Coniferest

We use this dataset in the active anomaly discovery Python package coniferest: https://coniferest.snad.space/en/latest/notebooks/us-names.html

Update the data

  • Install Python packages: pip install requests aiohttp universal_pathlib pandas
  • Optionally: download https://www.ssa.gov/OACT/babynames/state/namesbystate.zip
  • ./run.py PATH_OR_URL_TO_namesbystate.zip, path may be URL or a local path. When I write it the SSA link doesn't work in scripts.
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