Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Ashburn, VA

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Highest Birth Rate | Women 35+

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)

Afghan African Albanian American Arab Argentinean Armenian Australian Austrian Belgian Bhutanese Bolivian Brazilian British Burmese Cambodian Canadian Central American Central American Indian Cherokee Chickasaw Colombian Costa Rican Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European Ecuadorian Egyptian English Ethiopian European Filipino Finnish French French Canadian German Greek Guamanian / Chamorro Guatemalan Guyanese Haitian Hungarian Indian (Asian)Indonesian Iranian Irish Iroquois Israeli Italian Jamaican Japanese Jordanian Korean Laotian Lebanese Lithuanian Malaysian Mexican Mongolian Moroccan Native Hawaiian Nicaraguan Nigerian Norwegian Pakistani Palestinian Panamanian Pennsylvania German Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Serbian Slavic Slovak Slovene South American Spaniard Spanish Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Thai Turkish Ukrainian Venezuelan Vietnamese Welsh

Ancestry (Percentage)

Immigrant Origin (Total)

Afghanistan Africa Asia Bangladesh Bolivia Brazil Burma / Myanmar Cambodia Canada Caribbean Central America Chile China Colombia Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Ethiopia Europe France Germany Ghana Greece Guatemala Guyana Hong Kong Hungary India Indonesia Iran Iraq Ireland Italy Japan Jordan Korea Kuwait Laos Latin America Lebanon Malaysia Mexico Middle Africa Morocco Nepal Netherlands Nicaragua Nigeria Northern Africa Northern Europe Oceania Pakistan Peru Philippines Russia South America South Central Asia South Eastern Asia Southern Europe Sri Lanka Sudan Sweden Syria Taiwan Thailand Ukraine Uzbekistan 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 & 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 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 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

Ashburn

United States

States

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Virginia Cities

Abingdon Alexandria ArlingtonAshburnCentreville Chantilly Charlottesville Chesapeake Chesterfield Danville Dumfries Fairfax Falls Church Fredericksburg Glen Allen Hampton Harrisonburg Henrico Herndon Leesburg Lynchburg Manassas Mc Lean Mechanicsville Midlothian Newport News Norfolk Petersburg Portsmouth Reston Richmond Roanoke Springfield Stafford Sterling Suffolk Vienna Virginia Beach Warrenton Williamsburg Winchester Woodbridge Yorktown

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Map of Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Ashburn

0.0

30.0

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Ashburn Map

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Ashburn, VA

	Zip Code	Births / 1,000 Women	vs State	vs National
1.	20147	27.0	32.0(-5.00)#234	32.0(-5.00)#10,011
2.	20148	23.0	32.0(-9.00)#262	32.0(-9.00)#11,278

Common Questions

What are the Top Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Ashburn, VA?

Top Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Ashburn, VA are:

20147

27.0

20148

23.0

What zip code has the Most Births per 1,000 Women Over the Age of 35 in Ashburn, VA?

20147 has the Most Births per 1,000 Women Over the Age of 35 in Ashburn, VA with 27.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in Ashburn, VA?

Number of Births per 1,000 Women Over the Age of 35 in Ashburn is 21.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in Virginia?

Number of Births per 1,000 Women Over the Age of 35 in Virginia is 32.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?

Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.