Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Martinsburg, WV

Q: What are the Top 3 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Martinsburg, WV?

Top 3 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Martinsburg, WV are: #1 25401 29.6% . #2 25404 19.8% . #3 25403 12.1% .

Q: What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Martinsburg, WV?

25401 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Martinsburg, WV with 29.6%.

Q: What is the Poverty Level Among Females Between Ages 25 and 34 in West Virginia?

Poverty Level Among Females Between Ages 25 and 34 in West Virginia is 22.0%.

Q: What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?

Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.

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Highest Poverty | Female 25-34

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 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 Apache Arab Argentinean Australian Austrian Bhutanese Blackfeet British Burmese Canadian Central American Cherokee Croatian Czech Danish Dominican Dutch Eastern European Ecuadorian English European French French Canadian German Ghanaian Greek Guatemalan Guyanese Honduran Hungarian Indian (Asian)Irish Italian Jamaican Korean Mexican Nigerian Northern European Norwegian Pennsylvania German Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Slovak South American Spanish Sri Lankan Subsaharan African Swedish Swiss Ukrainian Welsh

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Cameroon Canada Caribbean Central America China Colombia Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador El Salvador England Eritrea Europe Germany Guatemala Guyana Jamaica Japan Korea Latin America Mexico Middle Africa Nigeria Northern Europe Philippines Russia South America South Eastern Asia Southern Europe Vietnam Western Africa 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 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

Martinsburg

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Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Martinsburg

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