1940 United States Federal Census

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Name

Florence Hain [Florence Ham]

Age

Estimated Birth Year

abt 1916

Gender

Female

Race

White

Birthplace

New York

Marital Status

Single

Relation to Head of House

Patient

Home in 1940

Syracuse, Onondaga, New York

House Number

250

Inferred Residence in 1935

Syracuse, Onondaga, New York

Residence in 1935

Syracuse, Onondaga, New York

Resident on farm in 1935

Sheet Number

Institution

Syracuse State School

Father's Birthplace

United States

Mother's Birthplace

United States

Attended School or College

Highest Grade Completed

None

Hours Worked Week Prior to Census

Native Language

English

Usual Occupation

Inst

Neighbors

Household Members (Name)	Age	Relationship
Lottie Fyda	18	Patient
Pauline Palle	16	Patient
Frances Harpp	14	Patient
Louise Hopkins	13	Patient
Hattie Kellogg	33	Patient
Hubrey Kibbler	14	Patient
Irene Killian	28	Patient
Violet Krone	41	Patient
Helen Leach	19	Patient
Dorothy Maynard	17	Patient
Stolla Meredith	15	Patient
Bossie McGivern	21	Patient
Viola Navrocky	16	Patient
Genevieve Prindle	18	Patient
Dolly Belle Reele	15	Patient
Jean Rhody	17	Patient
Jessie Rozzolle	15	Patient
June Schlegel	16	Patient
Dorothy Simpkins	13	Patient
Mildred Smith	18	Patient
Frances Stockles	15	Patient
Florence Switzer	14	Patient
Lillian Tyrell	16	Patient
Virginia Webber	15	Patient
Catherine Wilsey	14	Patient
Mildred Bailey	37	Patient
Helen Bixby	18	Patient
Lilly Boston	15	Patient
Julia Cagan	17	Patient
Grace Connell	17	Patient
Shirley Coy	15	Patient
Mary Danzig	15	Patient
Lena Dean	14	Patient
Verna Dean	19	Patient
Pauline Goldstein	17	Patient
Florence Hain	24	Patient
Grace Heldwein	26	Patient
Martha James	26	Patient
Lena Kastenhuber	21	Patient
Eileen Keating	33	Patient
Marx Ketchan	26	Patient
Gladys Lockwood	14	Patient
Evelyn Lund	14	Patient
Florence Manson	16	Patient
Catherine Marine	16	Patient
Helen Marsha	15	Patient
Mildred Marsha	17	Patient
Geraldine Newberry	17	Patient
Frances Place	18	Patient
Gail Powers	16	Patient
Grace Ratelle	16	Patient
Harriet Reynolds	20	Patient
Patricia Russo	16	Patient
Velma Spencer	18	Patient
Wanda Symonds	20	Patient
Rose Valenti	13	Patient
Gladys Weaver	15	Patient
Gladys White	23	Patient
Eleanor Wolf	15	Patient
Viola Zeininger	18	Patient
Minnie Benedict	39	Patient
Marion Berhart	17	Patient
Lillian Boyce	15	Patient
Cora Binkway	17	Patient
Bessie Brown	14	Patient
Virginia Dittler	16	Patient
Mary Doyle	14	Patient
Jennie Gathers	17	Patient
Julia Grown	16	Patient
Frances Ham	25	Patient
Ida Hobert	16	Patient
Stella Hollenbach	15	Patient
Mildred Hork	25	Patient
Ida Kalmanson	21	Patient
Elizabeth Larrabee	15	Patient
Adeline Latant	14	Patient
Florence Lent	36	Patient
Lavina Lewis	17	Patient
Frances Lydecker	26	Patient
Lillian Mackey	15	Patient
Sarah Miller	17	Patient
Rosalie Morgan	14	Patient
Flora Peckever	14	Patient
Ethel Pierorazio	14	Patient
Marilyn Pike	11	Patient
Elsie Plopper	13	Patient
Elaine Redick	14	Patient
Anne Seully	18	Patient
Evelyn Springer	16	Patient
Hazel Stevens	17	Patient
Theodora Switzer	18	Patient
Florence Van Slyke	15	Patient
Marietta Winge	22	Patient
Pauline Baker	16	Patient
Alberta Batts	5	Patient
Virginia Card	14	Patient
Violet Carroll	22	Patient
Rose Mary Charlebois	18	Patient
Lydia Crandall	16	Patient
Ruth Crouch	13	Patient

Source Citation

Year: 1940; Census Place: Syracuse, Onondaga, New York; Roll: m-t0627-02855; Page: 4B; Enumeration District: 66-123

Source Information

Ancestry.com. 1940 United States Federal Census [database on-line]. Provo, UT, USA: Ancestry.com Operations, Inc., 2012.

Original data: United States of America, Bureau of the Census. Sixteenth Census of the United States, 1940. Washington, D.C.: National Archives and Records Administration, 1940. T627, 4,643 rolls.

Description

The 1940 United States Federal Census is the largest census released to date and the most recent census available for public access. The census gives us a glimpse into the lives of Americans in 1940, with details about a household’s occupants that include birthplaces, occupations, education, citizenship, and income. Learn more...

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