Zip Codes with the Highest Female / Male Ratio in Huntington, WV

Q: What are the Top 5 Zip Codes with the Highest Female / Male Ratio in Huntington, WV?

Top 5 Zip Codes with the Highest Female / Male Ratio in Huntington, WV are: #1 25755 162.30 . #2 25703 132.02 . #3 25704 108.42 . #4 25705 105.31 . #5 25701 101.49 .

Q: What zip code has the Highest Female / Male Ratio in Huntington, WV?

25755 has the Highest Female / Male Ratio in Huntington, WV with 162.30.

Q: What is the Famale to Male Ratio in Huntington, WV?

Famale to Male Ratio in Huntington is 111.38.

Q: What is the Famale to Male Ratio in West Virginia?

Famale to Male Ratio in West Virginia is 100.38.

Q: What is the Famale to Male Ratio in the United States?

Famale to Male Ratio in the United States is 101.64.

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Female / Male Ratio

Population

Highest Population Highest Population Density Lowest Population Density Male / Female RatioFemale / Male RatioOldest 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 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 Austrian Belgian Bhutanese Blackfeet British Burmese Canadian Central American Cherokee Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European English European Finnish French French Canadian German Ghanaian Greek Guatemalan Hungarian Indian (Asian)Inupiat Iranian Irish Iroquois Italian Jamaican Korean Lebanese Lithuanian Mexican Native Hawaiian Northern European Norwegian Pakistani Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Slovak South American Spaniard Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Trinidadian and Tobagonian Ukrainian Welsh

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Brazil Canada Caribbean Central America China Eastern Africa Eastern Asia Europe Germany India Jamaica Japan Korea Latin America Netherlands Northern Europe Pakistan Philippines South America South Central Asia South Eastern Asia Syria Taiwan Thailand Trinidad and Tobago 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 Farming, Fishing & Forestry Firefighting & Prevention Food Preparation & Serving Health 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 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 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

Huntington

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Map of Zip Codes with the Highest Female / Male Ratio in Huntington

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Zip Codes with the Highest Female / Male Ratio in Huntington Map

Zip Codes with the Highest Female / Male Ratio in Huntington, WV

	Zip Code	Females / 100 Males	vs State	vs National
1.	25755	162.30	100.38(+61.9)#55	101.64(+60.7)#796
2.	25703	132.02	100.38(+31.6)#120	101.64(+30.4)#1,928
3.	25704	108.42	100.38(+8.04)#271	101.64(+6.78)#8,565
4.	25705	105.31	100.38(+4.92)#300	101.64(+3.66)#11,238
5.	25701	101.49	100.38(+1.11)#341	101.64(-0.149)#15,007
6.	25702	97.34	100.38(-3.05)#389	101.64(-4.31)#19,259