Zip Codes with the Highest Percentage of Population Employed in Law Enforcement in Kennesaw, GA

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Law Enforcement

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 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 Arab Argentinean Belgian Belizean Bhutanese Brazilian British British West Indian Burmese Canadian Central American Cherokee Chilean Colombian Costa Rican Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European Ecuadorian English Ethiopian European Finnish French French Canadian German Greek Guatemalan Haitian Honduran Hungarian Indian (Asian)Iranian Irish Italian Jamaican Japanese Korean Latvian Lebanese Lithuanian Mexican Mexican American Indian Native Hawaiian Nicaraguan Nigerian Northern European Norwegian Pakistani Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Serbian Slovak South American Spanish Spanish American Sri Lankan Subsaharan African Swedish Swiss Thai Trinidadian and Tobagonian Turkish Ukrainian Venezuelan Welsh West Indian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Brazil Cameroon Canada Caribbean Central America China Colombia Costa Rica Cuba Eastern Africa Eastern Asia Eastern Europe Ecuador El Salvador England Ethiopia Europe Germany Guatemala Haiti India Iran Jamaica Japan Kenya Korea Latin America Malaysia Mexico Middle Africa Nigeria Northern Europe Pakistan Peru Philippines Scotland South Africa South America South Central Asia South Eastern Asia Thailand Trinidad and Tobago Turkey Ukraine Venezuela 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 | $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 & RepairLaw EnforcementLegal 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

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 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

Kennesaw

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 Dallas Dalton Decatur Douglas Douglasville Duluth Ellijay Fayetteville Gainesville Griffin Jesup JonesboroKennesawLagrange Lawrenceville Lithonia Macon Marietta 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 Law Enforcement in Kennesaw

0.38%

0.48%

Zip Codes with the Highest Percentage of Population Employed in Law Enforcement in Kennesaw Map

Zip Codes with the Highest Percentage of Population Employed in Law Enforcement in Kennesaw, GA

	Zip Code	% Employed	vs State	vs National
1.	30144	0.48%	0.98% (-0.492)#441	0.96% (-0.478)#16,349
2.	30152	0.38%	0.98% (-0.602)#482	0.96% (-0.587)#17,740

Common Questions

What are the Top Zip Codes with the Highest Percentage of Population Employed in Law Enforcement in Kennesaw, GA?

Top Zip Codes with the Highest Percentage of Population Employed in Law Enforcement in Kennesaw, GA are:

30144

0.48%

30152

0.38%

What zip code has the Highest Percentage of Population Employed in Law Enforcement in Kennesaw, GA?

30144 has the Highest Percentage of Population Employed in Law Enforcement in Kennesaw, GA with 0.48%.

What is the Percentage of Population Employed in Law Enforcement in Kennesaw, GA?

Percentage of Population Employed in Law Enforcement in Kennesaw is 0.11%.

What is the Percentage of Population Employed in Law Enforcement in Georgia?

Percentage of Population Employed in Law Enforcement in Georgia is 0.98%.

What is the Percentage of Population Employed in Law Enforcement in the United States?

Percentage of Population Employed in Law Enforcement in the United States is 0.96%.