Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Watertown, NY

Q: What are the Top Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Watertown, NY?

Top Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Watertown, NY are: #1 13603 204.0 . #2 13601 28.0 .

Q: What zip code has the Most Births per 1,000 Women Over the Age of 35 in Watertown, NY?

13603 has the Most Births per 1,000 Women Over the Age of 35 in Watertown, NY with 204.0.

Q: What is the Number of Births per 1,000 Women Over the Age of 35 in Watertown, NY?

Number of Births per 1,000 Women Over the Age of 35 in Watertown is 41.0.

Q: What is the Number of Births per 1,000 Women Over the Age of 35 in New York?

Number of Births per 1,000 Women Over the Age of 35 in New York is 39.0.

Q: What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?

Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.

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RELATED REPORTS & OPTIONS

Highest Birth Rate | Women 35+

Population

Highest Population Highest Population Density Lowest Population Density Male / Female Ratio Female / Male Ratio Oldest Population Oldest Population | Male Oldest Population | Female Youngest Population Youngest Population | Male Youngest Population | Female

Families and Households

Largest Family Size Largest Household Size Most Single Fathers Most Single Mothers Fewest Single Fathers Fewest Single Mothers Smallest Family Size Smallest Household Size

Female Fertility

Female Fertility (Unmarried)

Highest Illegitimacy | All Women Lowest Illegitimacy | All Women

Race (Community Size)

Asian Black / African American Hispanic or Latino Native / Alaskan White / Caucasian

Race (Percentage)

Asian Black / African American Hispanic or Latino Native / Alaskan White / Caucasian

Ancestry (Community Size)

African American Arab Bhutanese British Burmese Canadian Central American Central American Indian Colombian Cuban Czech Danish Dominican Dutch Eastern European Ecuadorian English European French French Canadian German Hungarian Indian (Asian)Irish Iroquois Italian Jamaican Korean Lebanese Mexican Native Hawaiian Nigerian Norwegian Peruvian Polish Portuguese Puerto Rican Russian Scandinavian Scotch-Irish Scottish South American Spaniard Subsaharan African Swedish Syrian Thai Welsh

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Canada Caribbean Central America China Colombia Dominica Dominican Republic Eastern Asia Eastern Europe Ecuador Europe Guyana Korea Latin America Mexico Northern Europe Panama Philippines Russia South America South Central Asia South Eastern Asia Southern Europe Western Africa Western Europe

Immigrant Origin (Percentage)

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Highest Inequality / Gini Index Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)Lowest Inequality / Gini Index

Income (Families)

Highest Family Income Lowest Family Income Family Income | $0-10k Family Income | $100k+Family Income | $200k+

Income (Households)

Highest Household Income Lowest Household Income Household Income | $0-10k Household Income | $200k+Household Income | $100k+

Poverty

Poverty (Families)

Unemployment

Employment Occupations

Architecture & Engineering Arts, Media & Entertainment Business & Financial Cleaning & Maintenance Community & Social Service Computer & Mathematics Computer, Engineering & Science Construction & Extraction Education Instruction & Library Education, Arts & Media Food Preparation & Serving Health Diagnosing & Treating Health Technologists Healthcare Support Installation, Maintenance & Repair Law Enforcement Legal Services & Support Life, Physical & Social Science Management Material Moving Office & Administration Personal Care and Service Production Sales & Related Security & Protection Transportation

Employment Industries

Accommodation & Food Services Administrative & Support Services Agriculture, Fishing & Hunting Arts, Entertainment & Recreation Construction Educational Services Finance & Insurance Health Care & Social Assistance Information & Technology Manufacturing Professional & Scientific Services Public Administration Real Estate, Rental & Leasing Retail Trade Transportation & Warehousing Utilities

Employer Class

Private Company Employees Self-Employed / Not Incorporated Not-for-profit Organizations Local Government Employees State Government Employees Federal Government Employees

Commute Time

Longest Commute Longest Commute | Male Longest Commute | Female Shortest Commute Shortest Commute | Male Shortest Commute | Female

Commute Means

Drive | Alone Drive | Carpool Walk to Work Work from Home

School Enrollment

In Private School Nursery / Preschool Kindergarten Elementary School Middle School High School College University

Education by Degree Field

Computers and Mathematics Bio, Nature & Agricultural Physical and Health Sciences Psychology Social Sciences Engineering Multidisciplinary Studies Science and Engineering Business Education Literature and Languages Liberal Arts and History Visual and Performing Arts Communications Arts and Humanities

Occupancy

Highest Owner-Occupied Highest Renter-Occupied Lowest Owner-Occupied Lowest Renter-Occupied

Finances

Highest Median Housing Costs Highest Owner Housing Costs Highest Renter Housing Costs Highest Housing Costs / Income Lowest Median Housing Costs Lowest Owner Housing Costs Lowest Renter Housing Costs Lowest Housing Costs / Income

Physical Characteristics

Detached Home Residency Condo/Apartment Residency Utility Gas Heating Bottled Gas / LP Heating Electrical Heating Fuel-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars

Watertown

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Map of Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Watertown

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