Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Bel Air, MD

Q: What are the Top Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Bel Air, MD?

Top Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Bel Air, MD are: #1 21014 68.0 . #2 21015 29.0 .

Q: What zip code has the Most Births per 1,000 Women Over the Age of 35 in Bel Air, MD?

21014 has the Most Births per 1,000 Women Over the Age of 35 in Bel Air, MD with 68.0.

Q: What is the Number of Births per 1,000 Women Over the Age of 35 in Bel Air, MD?

Number of Births per 1,000 Women Over the Age of 35 in Bel Air is 10.0.

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

Number of Births per 1,000 Women Over the Age of 35 in Maryland is 38.0.

Q: 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.

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RELATED REPORTS & OPTIONS

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 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)

American Arab Argentinean Armenian Austrian Belgian Bhutanese Brazilian British Bulgarian Burmese Canadian Central American Central American Indian Cherokee Choctaw Colombian Croatian Czech Czechoslovakian Danish Dominican Dutch Eastern European English European Finnish French French Canadian German Greek Hungarian Indian (Asian)Irish Iroquois Italian Korean Lebanese Lithuanian Lumbee Mexican Norwegian Pakistani Panamanian Pennsylvania German Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Slavic Slovak South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Ukrainian Welsh Yugoslavian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Canada Caribbean Central America China Colombia Eastern Asia Eastern Europe Egypt El Salvador England Europe France Germany Guatemala India Ireland Italy Japan Korea Latin America Mexico Northern Africa Northern Europe Peru Philippines Poland Russia South America South Central Asia South Eastern Asia Southern Europe Taiwan Thailand Ukraine 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 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

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 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

Bel Air

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

29.0

68.0