Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Apopka, FL

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Finance & Insurance

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 Argentinean Armenian Austrian Bahamian Barbadian Belgian Bhutanese Brazilian British British West Indian Burmese Canadian Central American Central American Indian Cherokee Colombian Costa Rican Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European Ecuadorian English European Finnish French French Canadian German Greek Guatemalan Guyanese Haitian Honduran Hungarian Indian (Asian)Irish Italian Jamaican Korean Lebanese Lithuanian Mexican Native Hawaiian Nicaraguan Norwegian Pakistani Panamanian Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Serbian Slovak South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Trinidadian and Tobagonian U.S. Virgin Islander Ukrainian Venezuelan Welsh West Indian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Bahamas Barbados Brazil Canada Caribbean Central America China Colombia Costa Rica Cuba Dominica Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador England Europe France Germany Grenada Guatemala Guyana Haiti Honduras India Italy Jamaica Korea Latin America Mexico Nicaragua Northern Europe Peru Philippines Poland Russia Serbia South America South Central Asia South Eastern Asia Southern Europe Taiwan Trinidad and Tobago Venezuela Vietnam 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 ManagementFinance & InsuranceHealth 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

Apopka

United States

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 SpringsApopkaArcadia Boca Raton Bonita Springs Boynton Beach Bradenton Brandon Brooksville Cape Coral Casselberry Clearwater Clermont Cocoa Coral Springs Crestview 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 Lutz Marianna Melbourne Merritt 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 Perry 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

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Apopka

0.0%

6.0%

Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Apopka Map

Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Apopka, FL

	Zip Code	% Employed	vs State	vs National
1.	32703	5.6%	5.1%(+0.462)#304	4.8%(+0.806)#6,793
2.	32712	3.9%	5.1%(-1.17)#499	4.8%(-0.823)#11,807

Common Questions

What are the Top Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Apopka, FL?

Top Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Apopka, FL are:

32703

5.6%

32712

3.9%

What zip code has the Highest Percentage of Population Employed in Finance & Insurance in Apopka, FL?

32703 has the Highest Percentage of Population Employed in Finance & Insurance in Apopka, FL with 5.6%.

What is the Percentage of Population Employed in Finance & Insurance in Apopka, FL?

Percentage of Population Employed in Finance & Insurance in Apopka is 5.2%.

What is the Percentage of Population Employed in Finance & Insurance in Florida?

Percentage of Population Employed in Finance & Insurance in Florida is 5.1%.

What is the Percentage of Population Employed in Finance & Insurance in the United States?

Percentage of Population Employed in Finance & Insurance in the United States is 4.8%.