Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Lawrence, MA

Q: What are the Top Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Lawrence, MA?

Top Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Lawrence, MA are: #1 01843 7.0 . #2 01841 12.0 . #3 01840 34.0 .

Q: What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in Lawrence, MA?

01843 has the Fewest Births per 1,000 Women Over the Age of 35 in Lawrence, MA with 7.0.

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

Number of Births per 1,000 Women Over the Age of 35 in Lawrence is 12.0.

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

Number of Births per 1,000 Women Over the Age of 35 in Massachusetts is 36.0.

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

Lowest 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)

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 Argentinean Armenian Brazilian British West Indian Canadian Cape Verdean Central American Central American Indian Cherokee Colombian Costa Rican Cuban Dominican Dutch Eastern European Ecuadorian English European French French Canadian German Guatemalan Haitian Honduran Indian (Asian)Irish Italian Jamaican Japanese Lebanese Lithuanian Mexican Peruvian Polish Portuguese Puerto Rican Salvadoran Scotch-Irish Scottish South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Ukrainian West Indian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Brazil Cambodia Cameroon Canada Caribbean Central America Chile Colombia Costa Rica Cuba Dominica Dominican Republic Eastern Africa Eastern Europe Ecuador El Salvador Europe Guatemala Haiti Honduras Ireland Italy Jamaica Kenya Latin America Lebanon Mexico Middle Africa Northern Europe Peru Poland South America South Eastern Asia Southern Europe Spain Vietnam Western Asia

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 Enterprise Management 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 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

Lawrence

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

34.0

7.0