Database Download

Social Profiles

By Race

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

By Ancestry

Afghan African Alaska Native Alaskan Athabascan Albanian Aleut Alsatian American Apache Arab Arapaho Argentinean Armenian Assyrian/Chaldean/Syriac Australian Austrian Bahamian Bangladeshi Barbadian Basque Belgian Belizean Bermudan Bhutanese Blackfeet Bolivian Brazilian British British West Indian Bulgarian Burmese Cajun Cambodian Canadian Cape Verdean Carpatho Rusyn Celtic Central American Central American Indian Cherokee Cheyenne Chickasaw Chilean Chinese Chippewa Choctaw Colombian Colville Comanche Costa Rican Cree Creek Croatian Crow Cuban Cypriot Czech Czechoslovakian Danish Delaware Dominican Dutch Dutch West Indian Eastern European Ecuadorian Egyptian English Estonian Ethiopian European Fijian Filipino Finnish French French American Indian French Canadian German German Russian Ghanaian Greek Guamanian/Chamorro Guatemalan Guyanese Haitian Hmong Honduran Hopi Houma Hungarian Icelander Indian (Asian)Indonesian Inupiat Iranian Iraqi Irish Iroquois Israeli Italian Jamaican Japanese Jordanian Kenyan Kiowa Korean Laotian Latvian Lebanese Liberian Lithuanian Lumbee Luxembourger Macedonian Malaysian Maltese Marshallese Menominee Mexican Mexican American Indian Mongolian Moroccan Native Hawaiian Navajo Nepalese New Zealander Nicaraguan Nigerian Northern European Norwegian Okinawan Osage Ottawa Paiute Pakistani Palestinian Panamanian Paraguayan Pennsylvania German Peruvian Pima Polish Portuguese Potawatomi Pueblo Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Seminole Senegalese Serbian Shoshone Sierra Leonean Sioux Slavic Slovak Slovene Somali South African South American South American Indian Soviet Union Spaniard Spanish Spanish American Spanish American Indian Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Taiwanese Thai Tlingit-Haida Tohono O'Odham Tongan Trinidadian and Tobagonian Tsimshian Turkish U.S. Virgin Islander Ugandan Ukrainian Uruguayan Ute Venezuelan Vietnamese Welsh West Indian Yakama Yaqui Yugoslavian Yuman Yup'ik Zimbabwean

By Immigration

Nonimmigrants Immigrants Afghanistan Africa Albania Argentina Armenia Asia Australia Austria Bahamas Bangladesh Barbados Belarus Belgium Belize Bolivia Bosnia and Herzegovina Brazil Bulgaria Burma/Myanmar Cabo Verde Cambodia Cameroon Canada Caribbean Central America Chile China Colombia Congo Costa Rica Croatia Cuba Czechoslovakia Denmark Dominica Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Eritrea Ethiopia Europe Fiji France Germany Ghana Greece Grenada Guatemala Guyana Haiti Honduras Hong Kong Hungary India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea Kuwait Laos Latin America Latvia Lebanon Liberia Lithuania Malaysia Mexico Micronesia Middle Africa Moldova Morocco Nepal Netherlands Nicaragua Nigeria North America North Macedonia Northern Africa Northern Europe Norway Oceania Pakistan Panama Peru Philippines Poland Portugal Romania Russia Saudi Arabia Scotland Senegal Serbia Sierra Leone Singapore Somalia South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sri Lanka St. Vincent and the Grenadines Sudan Sweden Switzerland Syria Taiwan Thailand Trinidad and Tobago Turkey Uganda Ukraine Uruguay Uzbekistan Venezuela Vietnam West Indies Western Africa Western Asia Western Europe Yemen Zaire Zimbabwe Azores

Social Comparison

By Social Index

By Income

Per Capita Income Family Income Household Income Earnings Earnings | Males Earnings | Females Household Income | Age < 25 Household Income | Age 25-44 Household Income | Age 45-64 Household Income | Age > 65 Wage/Income Gap

By Poverty

Poverty Poverty | Families Poverty | Males Poverty | Females Poverty | Females 18-24 Poverty | Females 25-34 Poverty | Children < 5 Poverty | Children < 16 Poverty | Boys < 16 Poverty | Girls < 16 Poverty | Single Males Poverty | Single Females Poverty | Single Fathers Poverty | Single Mothers Poverty | Married-Couple Families Poverty | Seniors > 65 Poverty | Seniors > 75 Public Income | Food Stamps

By Unemployment

Unemployment Unemployment | Males Unemployment | Females Unemployment | Youth < 25 Unemployment | 16 to 19 years Unemployment | 20 to 24 years Unemployment | 25 to 29 years Unemployment | 30 to 34 years Unemployment | 35 to 44 years Unemployment | 45 to 54 years Unemployment | 55 to 59 years Unemployment | 60 to 64 years Unemployment | 65 to 74 years Unemployment | Seniors > 65 Unemployment | Seniors > 75 Unemployment | Women w/ Children < 6 Unemployment | Women w/ Children 6 to 17 Unemployment | Women w/ Children < 18

By Labor Participation

In Labor Force | Age > 16 In Labor Force | Age 20-64 In Labor Force | Age 16-19 In Labor Force | Age 20-24 In Labor Force | Age 25-29 In Labor Force | Age 30-34 In Labor Force | Age 35-44 In Labor Force | Age 45-54

By Family Structure

Family Households Family Households with Children Married-couple Households Average Family Size Single Father Households Single Mother Households Currently Married Divorced or Separated Births to Unmarried Women

By Vehicle Availability

No Vehicles Available 1+ Vehicles Available 2+ Vehicles Available 3+ Vehicles Available 4+ Vehicles Available

By Education Level

No Schooling Nursery School Kindergarten 1st Grade 2nd Grade 3rd Grade 4th Grade 5th Grade 6th Grade 7th Grade 8th Grade 9th Grade 10th Grade 11th Grade 12th Grade, No Diploma High School Diploma GED/Equivalency College, Under 1 year College, 1 year or more Associate's Degree Bachelor's Degree Master's Degree Professional Degree Doctorate Degree

By Disability

Disability Disability | Males Disability | Females Disability | Age Under 5 Disability | Age 5 to 17 Disability | Age 18 to 34 Disability | Age 35 to 64 Disability | Age 65 to 74 Disability | Age Over 75 Vision Disability Hearing Disability Cognitive Disability Ambulatory Disability Self-Care Disability

Demographic Comparison

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

Highest Birth Rate | All Women Highest Birth Rate | Women 35+Highest Birth Rate | Below Poverty Highest Birth Rate | Public Income Highest Birth Rate | In Labor Force Lowest Birth Rate | All Women Lowest Birth Rate | Women 35+Lowest Birth Rate | Below Poverty Lowest Birth Rate | Public Income Lowest Birth Rate | In Labor Force

Female Fertility (Unmarried)

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

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

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)

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

Economic Comparison

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

Highest Poverty Highest Poverty | Male Highest Poverty | Female Highest Poverty | Female 18-24 Highest Poverty | Female 25-34 Highest Poverty | Child 0-5 Highest Poverty | Child 0-16 Highest Poverty | Boys 0-16 Highest Poverty | Girls 0-16 Highest Poverty | Seniors 65+Highest Poverty | Seniors 75+ Lowest Poverty Lowest Poverty | Male Lowest Poverty | Female Lowest Poverty | Child 0-5 Lowest Poverty | Child 0-16 Lowest Poverty | Boys 0-16 Lowest Poverty | Girls 0-16 Lowest Poverty | Seniors 65+Lowest Poverty | Seniors 75+

Poverty (Families)

Highest Family Poverty Highest Poverty | Married Couple Highest Poverty | Single Male Highest Poverty | Single Female Highest Poverty | Single Father Highest Poverty | Single Mother Lowest Family Poverty Lowest Poverty | Married Couple Lowest Poverty | Single Male Lowest Poverty | Single Female Lowest Poverty | Single Father Lowest Poverty | Single Mother

Unemployment

Highest Unemployment Highest Unemployment | Male Highest Unemployment | Female Highest Unemployment | Youth < 25 Highest Unemployment | Senior > 65 Lowest Unemployment Lowest Unemployment | Male Lowest Unemployment | Female Lowest Unemployment | Youth < 25 Lowest Unemployment | Senior > 65

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

Education Comparison

School Enrollment

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

Education by Degree Field

Computers and MathematicsBio, 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

Housing Comparison

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

Zip Codes with the Highest Percentage of Population with a Degree in Computers and Mathematics in Melbourne, FL

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RELATED REPORTS & OPTIONS

Computers and Mathematics

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

Highest Birth Rate | All Women Highest Birth Rate | Women 35+Highest Birth Rate | Below Poverty Highest Birth Rate | Public Income Highest Birth Rate | In Labor Force Lowest Birth Rate | All Women Lowest Birth Rate | Women 35+Lowest Birth Rate | Below Poverty Lowest Birth Rate | Public Income Lowest Birth Rate | In Labor Force

Female Fertility (Unmarried)

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

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

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)

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

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

Highest Poverty Highest Poverty | Male Highest Poverty | Female Highest Poverty | Female 18-24 Highest Poverty | Female 25-34 Highest Poverty | Child 0-5 Highest Poverty | Child 0-16 Highest Poverty | Boys 0-16 Highest Poverty | Girls 0-16 Highest Poverty | Seniors 65+Highest Poverty | Seniors 75+ Lowest Poverty Lowest Poverty | Male Lowest Poverty | Female Lowest Poverty | Child 0-5 Lowest Poverty | Child 0-16 Lowest Poverty | Boys 0-16 Lowest Poverty | Girls 0-16 Lowest Poverty | Seniors 65+Lowest Poverty | Seniors 75+

Poverty (Families)

Highest Family Poverty Highest Poverty | Married Couple Highest Poverty | Single Male Highest Poverty | Single Female Highest Poverty | Single Father Highest Poverty | Single Mother Lowest Family Poverty Lowest Poverty | Married Couple Lowest Poverty | Single Male Lowest Poverty | Single Female Lowest Poverty | Single Father Lowest Poverty | Single Mother

Unemployment

Highest Unemployment Highest Unemployment | Male Highest Unemployment | Female Highest Unemployment | Youth < 25 Highest Unemployment | Senior > 65 Lowest Unemployment Lowest Unemployment | Male Lowest Unemployment | Female Lowest Unemployment | Youth < 25 Lowest Unemployment | Senior > 65

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 MathematicsBio, 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

States

Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District Of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Puerto Rico Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming

Florida Cities

Altamonte Springs Apopka Arcadia Boca Raton Bonita Springs Boynton Beach Bradenton Brandon Brooksville Cape Coral Casselberry Clearwater Clermont Cocoa Coral Springs Crestview Crystal River Dade City Davenport Daytona Beach Deerfield Beach Defuniak Springs Deland Delray Beach Deltona Dunnellon Edgewater Englewood Eustis Fort Lauderdale Fort Myers Fort Pierce Fort Walton Beach Gainesville Gulf Breeze Hialeah Holiday Hollywood Homestead Homosassa Hudson Inverness Jacksonville Jupiter Kissimmee Lake City Lake Wales Lake Worth Lakeland Land O Lakes Largo Leesburg Lehigh Acres Live Oak Longwood LutzMelbourneMerritt Island Miami Miami Beach Milton Naples New Port Richey New Smyrna Beach North Fort Myers North Port Ocala Okeechobee Opa Locka Orange Park Orlando Ormond Beach Oviedo Palm Bay Palm Beach Gardens Palm Coast Palm Harbor Panama City Panama City Beach Pensacola Pinellas Park Plant City Pompano Beach Port Charlotte Port Orange Port Saint Lucie Punta Gorda Quincy Riverview Saint Augustine Saint Cloud Saint Petersburg Sanford Sarasota Sebastian Sebring Seminole Spring Hill Stuart Tallahassee Tampa Tarpon Springs The Villages Titusville Valrico Venice Vero Beach Wesley Chapel West Palm Beach Winter Haven Winter Park Zephyrhills

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Comparison Subject

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Map of Zip Codes with the Highest Percentage of Population with a Degree in Computers and Mathematics in Melbourne

4.5%

9.6%

Zip Codes with the Highest Percentage of Population with a Degree in Computers and Mathematics in Melbourne Map

Zip Codes with the Highest Percentage of Population with a Degree in Computers and Mathematics in Melbourne, FL

	Zip Code	% Graduates	vs State	vs National
1.	32934	9.6%	4.1% (+5.49)#34	4.9% (+4.72)#1,917
2.	32904	7.2%	4.1% (+3.03)#79	4.9% (+2.26)#3,673
3.	32940	6.7%	4.1% (+2.55)#94	4.9% (+1.79)#4,226
4.	32901	4.7%	4.1% (+0.528)#270	4.9% (-0.236)#8,399
5.	32935	4.5%	4.1% (+0.413)#292	4.9% (-0.351)#8,734

1

Common Questions

What are the Top 3 Zip Codes with the Highest Percentage of Population with a Degree in Computers and Mathematics in Melbourne, FL?

Top 3 Zip Codes with the Highest Percentage of Population with a Degree in Computers and Mathematics in Melbourne, FL are:

#1

9.6%

#2

7.2%

#3

6.7%

What zip code has the Highest Percentage of Population with a Degree in Computers and Mathematics in Melbourne, FL?

32934 has the Highest Percentage of Population with a Degree in Computers and Mathematics in Melbourne, FL with 9.6%.

What is the Percentage of Population with a Degree in Computers and Mathematics in Melbourne, FL?

Percentage of Population with a Degree in Computers and Mathematics in Melbourne is 5.2%.

What is the Percentage of Population with a Degree in Computers and Mathematics in Florida?

Percentage of Population with a Degree in Computers and Mathematics in Florida is 4.1%.

What is the Percentage of Population with a Degree in Computers and Mathematics in the United States?

Percentage of Population with a Degree in Computers and Mathematics in the United States is 4.9%.