Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Lithonia, GA

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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)

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 American Barbadian Bhutanese British West Indian Burmese Canadian Central American Colombian Cuban Dominican Dutch English European French German Ghanaian Guamanian / Chamorro Guyanese Haitian Irish Italian Jamaican Korean Mexican Nigerian Panamanian Polish Puerto Rican Russian Samoan Scotch-Irish Scottish South American Subsaharan African Thai Trinidadian and Tobagonian Welsh West Indian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Caribbean Central America Colombia Cuba Dominican Republic Eastern Asia Eastern Europe Europe Germany Ghana Grenada Guyana Haiti Hungary India Jamaica Japan Latin America Liberia Mexico Middle Africa Nigeria Northern Europe Panama South America South Central Asia St. Vincent and the Grenadines Trinidad and Tobago Western Africa Western Europe Zaire

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 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 Arts, Entertainment & Recreation Construction Educational ServicesFinance & InsuranceHealth Care & Social Assistance Information & Technology Manufacturing 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-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Lithonia

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

Georgia Cities

Acworth Albany Alpharetta Americus Athens Atlanta Augusta Austell Bainbridge Brunswick Buford Cairo Canton Carrollton Cartersville Columbus Commerce Conyers Covington Cumming Dallas Dalton Decatur Douglas Douglasville Duluth Ellijay Fayetteville Gainesville Griffin Jesup Jonesboro Kennesaw Lagrange LawrencevilleLithoniaMacon Marietta Mc Rae Helena Mcdonough Monroe Moultrie Newnan Norcross Riverdale Rome Roswell Savannah Smyrna Snellville Statesboro Stone Mountain Thomasville Tifton Valdosta Warner Robins Waycross Woodstock

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

0.0%

5.0%

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

Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Lithonia, GA

	Zip Code	% Employed	vs State	vs National
1.	30038	4.2%	4.4%(-0.117)#225	4.8%(-0.526)#10,732
2.	30058	4.0%	4.4%(-0.386)#249	4.8%(-0.795)#11,711

Common Questions

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

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

30038

4.2%

30058

4.0%

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

30038 has the Highest Percentage of Population Employed in Finance & Insurance in Lithonia, GA with 4.2%.

What is the Percentage of Population Employed in Finance & Insurance in Lithonia, GA?

Percentage of Population Employed in Finance & Insurance in Lithonia is 3.8%.

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

Percentage of Population Employed in Finance & Insurance in Georgia is 4.4%.

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%.