Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Princeton, NJ

Q: What are the Top Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Princeton, NJ?

Top Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Princeton, NJ are: #1 08544 7.4% . #2 08542 2.4% . #3 08540 1.9% .

Q: What zip code has the Highest Percentage of Population Employed in Food Preparation & Serving in Princeton, NJ?

08544 has the Highest Percentage of Population Employed in Food Preparation & Serving in Princeton, NJ with 7.4%.

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

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 Mothers Fewest Single Mothers Smallest Family Size Smallest Household Size

Female Fertility

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 Albanian American Arab Argentinean Armenian Australian Austrian Bangladeshi Belgian Bhutanese Brazilian British Bulgarian Burmese Canadian Central American Central American Indian Cherokee Chilean Colombian Costa Rican Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European Ecuadorian Egyptian English Ethiopian European Filipino French French Canadian German Greek Guatemalan Guyanese Haitian Honduran Hungarian Indian (Asian)Iranian Irish Israeli Italian Jamaican Kenyan Korean Laotian Lebanese Liberian Lithuanian Macedonian Mexican Mongolian Moroccan Nigerian Northern European Norwegian Okinawan Pakistani Palestinian Peruvian Polish Portuguese Puerto Rican Romanian Russian Scandinavian Scotch-Irish Scottish Slovene South African South American South American Indian Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Turkish Ukrainian Welsh West Indian Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Australia Brazil Bulgaria Cabo Verde Canada Caribbean Central America Chile China Costa Rica Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt England Europe France Germany Ghana Greece Guatemala Haiti India Indonesia Iran Jamaica Japan Kenya Korea Latin America Lebanon Malaysia Mexico Moldova Netherlands Nigeria Northern Africa Northern Europe Oceania Pakistan Peru Philippines Russia Singapore South Africa South America South Central Asia South Eastern Asia Southern Europe Taiwan Turkey Ukraine Vietnam Western Africa Western Asia Western Europe

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 | $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)

Highest Family Poverty Highest Poverty | Single Female Lowest Family Poverty Lowest Poverty | Single Female

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 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 Finance & Insurance Health Care & Social Assistance Information & Technology Manufacturing Professional & Scientific Services Public Administration Retail Trade Transportation & Warehousing 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

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 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 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

Princeton

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

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

0.0%

8.0%

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

Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Princeton, NJ

	Zip Code	% Employed	vs State	vs National
1.	08544	7.4%	4.0%(+3.49)#48	5.3%(+2.16)#5,655
2.	08542	2.4%	4.0%(-1.56)#401	5.3%(-2.88)#23,451
3.	08540	1.9%	4.0%(-2.06)#454	5.3%(-3.39)#25,002

Common Questions

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

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

08544

7.4%

08542

2.4%

08540

1.9%

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

08544 has the Highest Percentage of Population Employed in Food Preparation & Serving in Princeton, NJ with 7.4%.

What is the Percentage of Population Employed in Food Preparation & Serving in Princeton, NJ?

Percentage of Population Employed in Food Preparation & Serving in Princeton is 2.4%.

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

Percentage of Population Employed in Food Preparation & Serving in New Jersey is 4.0%.

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%.