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name
stringlengths
2
11
gender
stringclasses
2 values
total
int64
5
23.8k
name_length
int64
2
11
last_letter
stringclasses
23 values
Mary
F
23,813
4
y
Maria
F
8,823
5
a
Margaret
F
5,507
8
t
Josephine
F
2,706
9
e
Helen
F
4,042
5
n
Juanita
F
2,727
7
a
Rosa
F
1,569
4
a
Frances
F
4,084
7
s
Emma
F
3,577
4
a
Ruth
F
2,480
4
h
Lucy
F
2,593
4
y
Irene
F
2,400
5
e
Isabel
F
2,160
6
l
Nellie
F
926
6
e
Alice
F
3,188
5
e
Julia
F
2,933
5
a
Marie
F
3,018
5
e
Rose
F
3,679
4
e
Anita
F
2,092
5
a
Anna
F
4,028
4
a
Beatrice
F
1,527
8
e
Jennie
F
1,241
6
e
Antonia
F
996
7
a
Dorothy
F
3,292
7
y
Eva
F
2,100
3
a
Hazel
F
777
5
l
Ruby
F
2,080
4
y
Elvira
F
699
6
a
Esther
F
1,907
6
r
Gladys
F
408
6
s
Guadalupe
F
1,127
9
e
Lena
F
788
4
a
Amelia
F
1,558
6
a
Eloisa
F
485
6
a
Flora
F
993
5
a
Florence
F
840
8
e
Stella
F
1,639
6
a
Virginia
F
3,890
8
a
Amalia
F
248
6
a
Ella
F
1,145
4
a
Grace
F
2,162
5
e
Lupe
F
1,024
4
e
Margarita
F
898
9
a
Sofia
F
1,217
5
a
Annie
F
1,358
5
e
Aurelia
F
262
7
a
Laura
F
3,928
5
a
Lois
F
709
4
s
Lola
F
550
4
a
Lucia
F
605
5
a
Mildred
F
866
7
d
Rita
F
2,398
4
a
Adelina
F
572
7
a
Carlota
F
114
7
a
Carmen
F
2,497
6
n
Elizabeth
F
7,788
9
h
Josefina
F
187
8
a
Lucille
F
1,153
7
e
Maggie
F
330
6
e
Ramona
F
1,879
6
a
Sarah
F
5,307
5
h
Senaida
F
77
7
a
Vera
F
641
4
a
Aurora
F
1,067
6
a
Bessie
F
767
6
e
Cora
F
606
4
a
Edith
F
694
5
h
Eliza
F
264
5
a
Fannie
F
189
6
e
Josefa
F
53
6
a
Josie
F
1,049
5
e
Leona
F
444
5
a
Leonor
F
75
6
r
Lillie
F
381
6
e
Louise
F
1,440
6
e
Mabel
F
491
5
l
Nora
F
1,090
4
a
Pablita
F
16
7
a
Placida
F
11
7
a
Susie
F
908
5
e
Victoria
F
4,427
8
a
Thelma
F
603
6
a
Dolores
F
2,934
7
s
Adela
F
397
5
a
Clara
F
1,439
5
a
Dora
F
1,345
4
a
Eleanor
F
869
7
r
Gertrude
F
259
8
e
Martha
F
3,278
6
a
Carolina
F
500
8
a
Cecilia
F
1,963
7
a
Genoveva
F
53
8
a
Minnie
F
471
6
e
Opal
F
148
4
l
Pauline
F
1,755
7
e
Agnes
F
605
5
s
Andrea
F
3,645
6
a
Bertha
F
1,286
6
a
Georgia
F
863
7
a
Ida
F
1,158
3
a
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NM Names Clean

Engineered dataset of New Mexico baby names (1910–2021), derived from bigquery-public-data.usa_names.usa_1910_current, filtered to New Mexico.

Columns

  • name — the given name
  • gender — M or F
  • total — total recorded births for that name+gender in NM (1910–2021)
  • name_length — number of letters (engineered feature)
  • last_letter — final letter, lowercased (engineered feature; strong gender signal)

Purpose

Built for a Gaussian Naive Bayes classification task: predict gender from name features. GNB reached ~0.70 accuracy vs. a ~0.61 majority-class baseline, showing the last letter carries real gender signal.

Caveat

The source dataset only records names with 5+ occurrences per state-year (privacy threshold), so rare names are excluded. Counts are recorded births, not true totals.

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