Zip Codes with the Lowest Percentage of Births to Unmarried Women over the Age of 35 in Melbourne, FL

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RELATED REPORTS & OPTIONS

Lowest Illegitimacy | 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 Highest Illegitimacy | Women 35+Lowest Illegitimacy | All WomenLowest Illegitimacy | Women 35+

Race (Community Size)

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

Race (Percentage)

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

Ancestry (Community Size)

African Albanian American Apache Arab Argentinean Armenian Australian Austrian Bahamian Barbadian Basque Belgian Bhutanese Blackfeet Brazilian British British West Indian Burmese Canadian Celtic Central American Central American Indian Cherokee Chilean Choctaw Colombian Costa Rican Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Dutch West Indian Eastern European Ecuadorian Egyptian English Estonian European Filipino Finnish French French American Indian French Canadian German Greek Guamanian / Chamorro Guatemalan Guyanese Haitian Honduran Hungarian Indian (Asian)Iranian Irish Iroquois Israeli Italian Jamaican Jordanian Kenyan Korean Laotian Latvian Lebanese Lithuanian Macedonian Malaysian Maltese Mexican Native Hawaiian New Zealander Nicaraguan Nigerian Northern European Norwegian Pakistani Panamanian Pennsylvania German Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Seminole Serbian Sioux Slavic Slovak South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Trinidadian and Tobagonian Turkish Ukrainian Venezuelan Welsh West Indian Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Australia Azores Bahamas Bangladesh Barbados Brazil Cambodia Canada Caribbean Central America Chile China Colombia Costa Rica Cuba Czechoslovakia Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Europe France Germany Greece Guatemala Guyana Haiti Honduras Hungary India Iran Ireland Italy Jamaica Japan Kenya Korea Latin America Lithuania Mexico Morocco Netherlands Nicaragua Nigeria North Macedonia Northern Africa Northern Europe Oceania Panama Peru Philippines Poland Portugal Russia Saudi Arabia Scotland South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sweden Taiwan Thailand Trinidad and Tobago Turkey Ukraine Venezuela Vietnam West Indies Western Africa Western Asia Western Europe Zimbabwe

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 Farming, Fishing & Forestry Firefighting & Prevention 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 Enterprise Management Finance & Insurance Health Care & Social Assistance Information & Technology Manufacturing Mining, Quarrying, & Extraction Professional & Scientific Services Public Administration Real Estate, Rental & Leasing Retail Trade Transportation & Warehousing Utilities Wholesale Trade

Employer Class

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

Commute Time

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

Commute Means

Drive | Alone Drive | Carpool Public Transit Taxi / Cab 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 Property Prices Highest Owner Housing Costs Highest Renter Housing Costs Highest Housing Costs / Income Lowest Median Housing Costs Lowest Property Prices 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 Oil Heating Fuel-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Melbourne

United States

States

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Florida Cities

Altamonte Springs Boca Raton Boynton Beach Bradenton Brooksville Clearwater Cocoa Deerfield Beach Delray Beach Deltona Dunnellon Englewood Fort Lauderdale Fort Myers Fort Pierce Gainesville Hialeah Hollywood Homestead Hudson Inverness Jacksonville Kissimmee Lake Worth Lakeland Largo Lehigh Acres Live Oak LutzMelbourneMiami Miami Beach Milton Naples New Port Richey North Port Ocala Orange Park Orlando Palm Bay Panama City Pensacola Perry Plant City Pompano Beach Port Charlotte Port Saint Lucie Riverview Saint Augustine Saint Cloud Saint Petersburg Sanford Sarasota Seminole Spring Hill Tallahassee Tampa Vero Beach Wesley Chapel West Palm Beach Winter Haven Winter Park Zephyrhills

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Map of Zip Codes with the Lowest Percentage of Births to Unmarried Women over the Age of 35 in Melbourne

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Zip Codes with the Lowest Percentage of Births to Unmarried Women over the Age of 35 in Melbourne Map

Zip Codes with the Lowest Percentage of Births to Unmarried Women over the Age of 35 in Melbourne, FL

	Zip Code	% Unmarried	vs State	vs National
1.	32901	51.9%	26.5%(+25.4)#230	20.1%(+31.8)#4,504
2.	32935	77.6%	26.5%(+51.1)#296	20.1%(+57.5)#5,460

Common Questions

What are the Top 3 Zip Codes with the Lowest Percentage of Births to Unmarried Women over the Age of 35 in Melbourne, FL?

Top 3 Zip Codes with the Lowest Percentage of Births to Unmarried Women over the Age of 35 in Melbourne, FL are:

32940

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32904

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32934

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What zip code has the Lowest Percentage of Births to Unmarried Women over the Age of 35 in Melbourne, FL?

32901 has the Lowest Percentage of Births to Unmarried Women over the Age of 35 in Melbourne, FL with 51.9%.

What is the Percentage of Births to Unmarried Women over the Age of 35 in Melbourne, FL?

Percentage of Births to Unmarried Women over the Age of 35 in Melbourne is 44.9%.

What is the Percentage of Births to Unmarried Women over the Age of 35 in Florida?

Percentage of Births to Unmarried Women over the Age of 35 in Florida is 26.5%.

What is the Percentage of Births to Unmarried Women over the Age of 35 in the United States?

Percentage of Births to Unmarried Women over the Age of 35 in the United States is 20.1%.