Zip Codes with the Highest Percentage of Population Employed in Law Enforcement in Matthews, NC

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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 Lowest Illegitimacy | All Women

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 Albanian American Arab Argentinean Armenian Austrian Belgian Bhutanese Brazilian British Bulgarian Burmese Canadian Central American Central American Indian Cherokee Colombian Croatian Cuban Czech Danish Dominican Dutch Eastern European Ecuadorian Egyptian English Ethiopian European Finnish French French Canadian German Ghanaian Greek Guatemalan Hungarian Indian (Asian)Indonesian Iranian Irish Iroquois Italian Jamaican Jordanian Korean Lebanese Lithuanian Lumbee Mexican Nigerian Northern European Norwegian Panamanian Pennsylvania German Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Serbian Slavic Slovak South African South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Ukrainian Venezuelan Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Australia Belarus Brazil Burma / Myanmar Canada Caribbean Central America China Colombia Cuba Czechoslovakia Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador El Salvador England Ethiopia Europe Germany Ghana Greece Guatemala India Indonesia Ireland Jamaica Japan Korea Latin America Latvia Malaysia Mexico Middle Africa Netherlands Nigeria Northern Europe Oceania Pakistan Panama Peru Poland Romania Russia South Africa South America South Central Asia South Eastern Asia Southern Europe Ukraine 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 & 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 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

Matthews

United States

States

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North Carolina Cities

Apex Asheboro Asheville Burlington Cary Chapel Hill Charlotte Clayton Concord Durham Fayetteville Fort Bragg Gastonia Goldsboro Greensboro Greenville Henderson Hendersonville Hickory High Point Jacksonville Kannapolis Kinston Lexington LumbertonMatthewsMonroe Mooresville New Bern Raleigh Rocky Mount Roxboro Salisbury Sanford Shelby Statesville Waynesville Wilmington Winston Salem

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

0.80%

0.81%

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

Zip Codes with the Highest Percentage of Population Employed in Law Enforcement in Matthews, NC

	Zip Code	% Employed	vs State	vs National
1.	28105	0.81%	0.93% (-0.122)#353	0.96% (-0.153)#12,633
2.	28104	0.80%	0.93% (-0.135)#356	0.96% (-0.166)#12,776

Common Questions

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

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

28105

0.81%

28104

0.80%

What zip code has the Highest Percentage of Population Employed in Law Enforcement in Matthews, NC?

28105 has the Highest Percentage of Population Employed in Law Enforcement in Matthews, NC with 0.81%.

What is the Percentage of Population Employed in Law Enforcement in Matthews, NC?

Percentage of Population Employed in Law Enforcement in Matthews is 0.86%.

What is the Percentage of Population Employed in Law Enforcement in North Carolina?

Percentage of Population Employed in Law Enforcement in North Carolina is 0.93%.

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%.