Database Download

Social Profiles

By Race

Asian Black/African American Hawaiian Hispanic or Latino Native/Alaskan White/Caucasian

By Ancestry

Afghan African Alaska Native Alaskan Athabascan Albanian Aleut Alsatian American Apache Arab Arapaho Argentinean Armenian Assyrian/Chaldean/Syriac Australian Austrian Bahamian Bangladeshi Barbadian Basque Belgian Belizean Bermudan Bhutanese Blackfeet Bolivian Brazilian British British West Indian Bulgarian Burmese Cajun Cambodian Canadian Cape Verdean Carpatho Rusyn Celtic Central American Central American Indian Cherokee Cheyenne Chickasaw Chilean Chinese Chippewa Choctaw Colombian Colville Comanche Costa Rican Cree Creek Croatian Crow Cuban Cypriot Czech Czechoslovakian Danish Delaware Dominican Dutch Dutch West Indian Eastern European Ecuadorian Egyptian English Estonian Ethiopian European Fijian Filipino Finnish French French American Indian French Canadian German German Russian Ghanaian Greek Guamanian/Chamorro Guatemalan Guyanese Haitian Hmong Honduran Hopi Houma Hungarian Icelander Indian (Asian)Indonesian Inupiat Iranian Iraqi Irish Iroquois Israeli Italian Jamaican Japanese Jordanian Kenyan Kiowa Korean Laotian Latvian Lebanese Liberian Lithuanian Lumbee Luxembourger Macedonian Malaysian Maltese Marshallese Menominee Mexican Mexican American Indian Mongolian Moroccan Native Hawaiian Navajo Nepalese New Zealander Nicaraguan Nigerian Northern European Norwegian Okinawan Osage Ottawa Paiute Pakistani Palestinian Panamanian Paraguayan Pennsylvania German Peruvian Pima Polish Portuguese Potawatomi Pueblo Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Seminole Senegalese Serbian Shoshone Sierra Leonean Sioux Slavic Slovak Slovene Somali South African South American South American Indian Soviet Union Spaniard Spanish Spanish American Spanish American Indian Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Taiwanese Thai Tlingit-Haida Tohono O'Odham Tongan Trinidadian and Tobagonian Tsimshian Turkish U.S. Virgin Islander Ugandan Ukrainian Uruguayan Ute Venezuelan Vietnamese Welsh West Indian Yakama Yaqui Yugoslavian Yuman Yup'ik Zimbabwean

By Immigration

Nonimmigrants Immigrants Afghanistan Africa Albania Argentina Armenia Asia Australia Austria Bahamas Bangladesh Barbados Belarus Belgium Belize Bolivia Bosnia and Herzegovina Brazil Bulgaria Burma/Myanmar Cabo Verde Cambodia Cameroon Canada Caribbean Central America Chile China Colombia Congo Costa Rica Croatia Cuba Czechoslovakia Denmark Dominica Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Eritrea Ethiopia Europe Fiji France Germany Ghana Greece Grenada Guatemala Guyana Haiti Honduras Hong Kong Hungary India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea Kuwait Laos Latin America Latvia Lebanon Liberia Lithuania Malaysia Mexico Micronesia Middle Africa Moldova Morocco Nepal Netherlands Nicaragua Nigeria North America North Macedonia Northern Africa Northern Europe Norway Oceania Pakistan Panama Peru Philippines Poland Portugal Romania Russia Saudi Arabia Scotland Senegal Serbia Sierra Leone Singapore Somalia South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sri Lanka St. Vincent and the Grenadines Sudan Sweden Switzerland Syria Taiwan Thailand Trinidad and Tobago Turkey Uganda Ukraine Uruguay Uzbekistan Venezuela Vietnam West Indies Western Africa Western Asia Western Europe Yemen Zaire Zimbabwe Azores

Social Comparison

By Social Index

By Income

Per Capita Income Family Income Household Income Earnings Earnings | Males Earnings | Females Household Income | Age < 25 Household Income | Age 25-44 Household Income | Age 45-64 Household Income | Age > 65 Wage/Income Gap

By Poverty

Poverty Poverty | Families Poverty | Males Poverty | Females Poverty | Females 18-24 Poverty | Females 25-34 Poverty | Children < 5 Poverty | Children < 16 Poverty | Boys < 16 Poverty | Girls < 16 Poverty | Single Males Poverty | Single Females Poverty | Single Fathers Poverty | Single Mothers Poverty | Married-Couple Families Poverty | Seniors > 65 Poverty | Seniors > 75 Public Income | Food Stamps

By Unemployment

Unemployment Unemployment | Males Unemployment | Females Unemployment | Youth < 25 Unemployment | 16 to 19 years Unemployment | 20 to 24 years Unemployment | 25 to 29 years Unemployment | 30 to 34 years Unemployment | 35 to 44 years Unemployment | 45 to 54 years Unemployment | 55 to 59 years Unemployment | 60 to 64 years Unemployment | 65 to 74 years Unemployment | Seniors > 65 Unemployment | Seniors > 75 Unemployment | Women w/ Children < 6 Unemployment | Women w/ Children 6 to 17 Unemployment | Women w/ Children < 18

By Labor Participation

In Labor Force | Age > 16 In Labor Force | Age 20-64 In Labor Force | Age 16-19 In Labor Force | Age 20-24 In Labor Force | Age 25-29 In Labor Force | Age 30-34 In Labor Force | Age 35-44 In Labor Force | Age 45-54

By Family Structure

Family Households Family Households with Children Married-couple Households Average Family Size Single Father Households Single Mother Households Currently Married Divorced or Separated Births to Unmarried Women

By Vehicle Availability

No Vehicles Available 1+ Vehicles Available 2+ Vehicles Available 3+ Vehicles Available 4+ Vehicles Available

By Education Level

No Schooling Nursery School Kindergarten 1st Grade 2nd Grade 3rd Grade 4th Grade 5th Grade 6th Grade 7th Grade 8th Grade 9th Grade 10th Grade 11th Grade 12th Grade, No Diploma High School Diploma GED/Equivalency College, Under 1 year College, 1 year or more Associate's Degree Bachelor's Degree Master's Degree Professional Degree Doctorate Degree

By Disability

Disability Disability | Males Disability | Females Disability | Age Under 5 Disability | Age 5 to 17 Disability | Age 18 to 34 Disability | Age 35 to 64 Disability | Age 65 to 74 Disability | Age Over 75 Vision Disability Hearing Disability Cognitive Disability Ambulatory Disability Self-Care Disability

Demographic Comparison

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

Race (Community Size)

Asian Black / African American Hispanic or Latino White / Caucasian

Race (Percentage)

Asian Black / African American Hispanic or Latino White / Caucasian

Ancestry (Community Size)

African Apache Arab Belgian Blackfeet Brazilian British Burmese Central American Cherokee Croatian Czech Czechoslovakian Dominican Dutch English French German Hungarian Indian (Asian)Irish Israeli Italian Jamaican Korean Lebanese Lithuanian Mexican Norwegian Palestinian Polish Puerto Rican Romanian Russian Salvadoran Scotch-Irish Scottish South American Spaniard Sri Lankan Subsaharan African Swedish Swiss Thai Ukrainian Welsh

Ancestry (Percentage)

African Apache Arab Belgian Blackfeet Brazilian British Burmese Central American Cherokee Croatian Czech Czechoslovakian Dominican Dutch English French German Hungarian Indian (Asian)Irish Israeli Italian Jamaican Korean Lebanese Lithuanian Mexican Norwegian Palestinian Polish Puerto Rican Romanian Russian Salvadoran Scotch-Irish Scottish South American Spaniard Sri Lankan Subsaharan African Swedish Swiss Thai Ukrainian Welsh

Immigrant Origin (Total)

Africa Asia Brazil Canada China Eastern Asia Europe Germany India Korea Latin America Northern Europe South America South Central Asia South Eastern Asia Western Africa Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Asia Brazil Canada China Eastern Asia Europe Germany India Korea Latin America Northern Europe South America South Central Asia South Eastern Asia Western Africa Western Asia Western Europe

Economic Comparison

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)

Unemployment

Highest Unemployment Highest Unemployment | Male Highest Unemployment | Female Highest Unemployment | Youth < 25 Lowest Unemployment Lowest Unemployment | Male Lowest Unemployment | Female Lowest Unemployment | Youth < 25

Employment Occupations

Architecture & Engineering Arts, Media & Entertainment Business & Financial Cleaning & Maintenance Community & Social Service Computer, Engineering & Science Education Instruction & Library Education, Arts & Media Firefighting & Prevention Food Preparation & Serving Healthcare Support Installation, Maintenance & Repair Law Enforcement 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 Educational Services Health Care & Social Assistance Manufacturing Professional & Scientific Services Public Administration Real Estate, Rental & Leasing Retail Trade Transportation & Warehousing

Employer Class

Private Company EmployeesNot-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 Walk to Work Work from Home

Education Comparison

School Enrollment

In Private School College University

Zip Codes with the Highest Percentage of Private Company Employees in Bowling Green, OH

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Private Company Employees

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

Race (Community Size)

Asian Black / African American Hispanic or Latino White / Caucasian

Race (Percentage)

Asian Black / African American Hispanic or Latino White / Caucasian

Ancestry (Community Size)

African Apache Arab Belgian Blackfeet Brazilian British Burmese Central American Cherokee Croatian Czech Czechoslovakian Dominican Dutch English French German Hungarian Indian (Asian)Irish Israeli Italian Jamaican Korean Lebanese Lithuanian Mexican Norwegian Palestinian Polish Puerto Rican Romanian Russian Salvadoran Scotch-Irish Scottish South American Spaniard Sri Lankan Subsaharan African Swedish Swiss Thai Ukrainian Welsh

Ancestry (Percentage)

African Apache Arab Belgian Blackfeet Brazilian British Burmese Central American Cherokee Croatian Czech Czechoslovakian Dominican Dutch English French German Hungarian Indian (Asian)Irish Israeli Italian Jamaican Korean Lebanese Lithuanian Mexican Norwegian Palestinian Polish Puerto Rican Romanian Russian Salvadoran Scotch-Irish Scottish South American Spaniard Sri Lankan Subsaharan African Swedish Swiss Thai Ukrainian Welsh

Immigrant Origin (Total)

Africa Asia Brazil Canada China Eastern Asia Europe Germany India Korea Latin America Northern Europe South America South Central Asia South Eastern Asia Western Africa Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Asia Brazil Canada China Eastern Asia Europe Germany India Korea Latin America Northern Europe South America South Central Asia South Eastern Asia Western Africa Western Asia Western Europe

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)

Unemployment

Highest Unemployment Highest Unemployment | Male Highest Unemployment | Female Highest Unemployment | Youth < 25 Lowest Unemployment Lowest Unemployment | Male Lowest Unemployment | Female Lowest Unemployment | Youth < 25

Employment Occupations

Architecture & Engineering Arts, Media & Entertainment Business & Financial Cleaning & Maintenance Community & Social Service Computer, Engineering & Science Education Instruction & Library Education, Arts & Media Firefighting & Prevention Food Preparation & Serving Healthcare Support Installation, Maintenance & Repair Law Enforcement 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 Educational Services Health Care & Social Assistance Manufacturing Professional & Scientific Services Public Administration Real Estate, Rental & Leasing Retail Trade Transportation & Warehousing

Employer Class

Private Company EmployeesNot-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 Walk to Work Work from Home

School Enrollment

In Private School College University

Bowling Green

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Highest Percentage of Private Company Employees in Bowling Green

0.0%

80.0%

Zip Codes with the Highest Percentage of Private Company Employees in Bowling Green Map

Zip Codes with the Highest Percentage of Private Company Employees in Bowling Green, OH

	Zip Code	% Private Company Employees	vs State	vs National
1.	43403	63.2%	69.5%(-6.26)#985	66.9%(-3.69)#19,133
2.	43402	60.9%	69.5%(-8.58)#1,058	66.9%(-6.02)#21,579

1

Common Questions

What are the Top Zip Codes with the Highest Percentage of Private Company Employees in Bowling Green, OH?

Top Zip Codes with the Highest Percentage of Private Company Employees in Bowling Green, OH are:

#1

63.2%

#2

60.9%

What zip code has the Highest Percentage of Private Company Employees in Bowling Green, OH?

43403 has the Highest Percentage of Private Company Employees in Bowling Green, OH with 63.2%.

What is the Percentage of Private Company Employees in Bowling Green, OH?

Percentage of Private Company Employees in Bowling Green is 61.7%.

What is the Percentage of Private Company Employees in Ohio?

Percentage of Private Company Employees in Ohio is 69.5%.

What is the Percentage of Private Company Employees in the United States?

Percentage of Private Company Employees in the United States is 66.9%.