Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Duluth, GA

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Food Preparation & Serving

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 Women Lowest Illegitimacy | Women 35+

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 Austrian Bangladeshi Bhutanese British Bulgarian Burmese Canadian Central American Central American Indian Cherokee Colombian Costa Rican Cuban Czech Danish Dominican Dutch Eastern European English Ethiopian European Filipino Finnish French French American Indian French Canadian German Ghanaian Greek Guatemalan Guyanese Haitian Honduran Hungarian Indian (Asian)Iranian Irish Italian Jamaican Korean Laotian Lebanese Lithuanian Malaysian Mexican Mongolian Navajo Nicaraguan Nigerian Northern European Norwegian Palestinian Panamanian Peruvian Polish Portuguese Puerto Rican Romanian Russian Scandinavian Scotch-Irish Scottish Slavic Slovak Slovene South African 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 Brazil Bulgaria Canada Caribbean Central America China Costa Rica Dominican Republic Eastern Africa Eastern Asia Eastern Europe Egypt England Ethiopia Europe Germany Ghana Guatemala Haiti Hong Kong India Indonesia Iran Iraq Jamaica Japan Kenya Korea Laos Latin America Lebanon Malaysia Mexico Middle Africa Netherlands Nicaragua Nigeria Northern Africa Northern Europe Oceania Pakistan Panama Philippines Poland Romania Russia Saudi Arabia South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sri Lanka Taiwan Ukraine Uzbekistan Venezuela Vietnam Western Africa Western Asia 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 & PreventionFood Preparation & ServingHealth 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 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 Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Duluth

United States

States

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Georgia Cities

Acworth Albany Alpharetta Americus Athens Atlanta Augusta Austell Bainbridge Brunswick Buford Cairo Canton Carrollton Cartersville Columbus Commerce Conyers Covington Cumming Dahlonega Dallas Dalton Decatur Douglas DouglasvilleDuluthEllijay Fayetteville Gainesville Griffin Jesup Jonesboro Kennesaw Lagrange Lawrenceville Lithonia Macon 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 Food Preparation & Serving in Duluth

3.2%

8.1%

Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Duluth Map

Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Duluth, GA

	Zip Code	% Employed	vs State	vs National
1.	30096	8.1%	5.1% (+2.96)#90	5.3% (+2.82)#4,565
2.	30097	3.2%	5.1% (-1.99)#491	5.3% (-2.13)#20,652

Common Questions

What are the Top Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Duluth, GA?

Top Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Duluth, GA are:

30096

8.1%

30097

3.2%

What zip code has the Highest Percentage of Population Employed in Food Preparation & Serving in Duluth, GA?

30096 has the Highest Percentage of Population Employed in Food Preparation & Serving in Duluth, GA with 8.1%.

What is the Percentage of Population Employed in Food Preparation & Serving in Duluth, GA?

Percentage of Population Employed in Food Preparation & Serving in Duluth is 7.5%.

What is the Percentage of Population Employed in Food Preparation & Serving in Georgia?

Percentage of Population Employed in Food Preparation & Serving in Georgia is 5.1%.

What is the Percentage of Population Employed in Food Preparation & Serving in the United States?

Percentage of Population Employed in Food Preparation & Serving in the United States is 5.3%.