Zip Codes with the Most Births per 1,000 Women in East Lansing, MI

Q: What are the Top Zip Codes with the Most Births per 1,000 Women in East Lansing, MI?

Top Zip Codes with the Most Births per 1,000 Women in East Lansing, MI are: #1 48823 18.0 . #2 48825 1.0 .

Q: What zip code has the Most Births per 1,000 Women in East Lansing, MI?

48823 has the Most Births per 1,000 Women in East Lansing, MI with 18.0.

Q: What is the Number of Births per 1,000 Women in East Lansing, MI?

Number of Births per 1,000 Women in East Lansing is 8.0.

Q: What is the Number of Births per 1,000 Women in Michigan?

Number of Births per 1,000 Women in Michigan is 52.0.

Q: What is the Number of Births per 1,000 Women in the United States?

Number of Births per 1,000 Women in the United States is 52.0.

RELATED REPORTS & OPTIONS

Highest Birth Rate | All Women

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

Female Fertility

Highest Birth Rate | All WomenHighest Birth Rate | Public Income Lowest Birth Rate | All Women Lowest Birth Rate | Public Income

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)

Afghan African American Arab Armenian Assyrian / Chaldean / Syriac Australian Austrian Bangladeshi Belgian Bhutanese Brazilian British Burmese Canadian Central American Cherokee Chippewa Costa Rican Croatian Cuban Czech Czechoslovakian Danish Dutch Eastern European Ecuadorian English Ethiopian European Filipino Finnish French French Canadian German Greek Guatemalan Hungarian Indian (Asian)Iranian Iraqi Irish Italian Korean Laotian Lebanese Lithuanian Mexican Mexican American Indian Nigerian Norwegian Ottawa Pakistani Peruvian Polish Portuguese Puerto Rican Romanian Russian Scandinavian Scotch-Irish Scottish Serbian Slavic Slovak Slovene South American Spaniard Sri Lankan Subsaharan African Swedish Swiss Thai Ukrainian Venezuelan Welsh West Indian

Ancestry (Percentage)

Afghan African American Arab Armenian Assyrian / Chaldean / Syriac Australian Austrian Bangladeshi Belgian Bhutanese Brazilian British Burmese Canadian Central American Cherokee Chippewa Costa Rican Croatian Cuban Czech Czechoslovakian Danish Dutch Eastern European Ecuadorian English Ethiopian European Filipino Finnish French French Canadian German Greek Guatemalan Hungarian Indian (Asian)Iranian Iraqi Irish Italian Korean Laotian Lebanese Lithuanian Mexican Mexican American Indian Nigerian Norwegian Ottawa Pakistani Peruvian Polish Portuguese Puerto Rican Romanian Russian Scandinavian Scotch-Irish Scottish Serbian Slavic Slovak Slovene South American Spaniard Sri Lankan Subsaharan African Swedish Swiss Thai Ukrainian Venezuelan Welsh West Indian

Immigrant Origin (Total)

Africa Argentina Asia Bangladesh Brazil Canada Caribbean Central America China Denmark Dominican Republic Eastern Asia Eastern Europe England Europe Hong Kong India Japan Korea Latin America Mexico Nepal Nigeria Northern Europe Norway Oceania Pakistan Romania South America South Central Asia Western Africa Western Asia

Immigrant Origin (Percentage)

Africa Argentina Asia Bangladesh Brazil Canada Caribbean Central America China Denmark Dominican Republic Eastern Asia Eastern Europe England Europe Hong Kong India Japan Korea Latin America Mexico Nepal Nigeria Northern Europe Norway Oceania Pakistan Romania South America South Central Asia Western Africa Western Asia

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)

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 Healthcare Support Installation, Maintenance & Repair 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 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 Walk to Work Work from Home

School Enrollment

In Private School College University

Education by Degree Field

Computers and Mathematics Bio, Nature & Agricultural Psychology Multidisciplinary Studies Business Liberal Arts and History Visual and Performing Arts

East Lansing

United States

States

Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District Of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Puerto Rico Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming

Michigan Cities

Ann Arbor Battle Creek Bay City Bloomfield Hills Brighton Burton Canton Clarkston Clinton Township Dearborn Dearborn Heights DetroitEast LansingFarmington Flint Grand Rapids Grosse Pointe Highland Holland Howell Jackson Kalamazoo Lake Orion Lansing Livonia Macomb Midland Milford Monroe Muskegon New Baltimore New Haven Northville Novi Oxford Pontiac Portage Redford Rochester Royal Oak Saginaw Saint Clair Shores Southfield Sterling Heights Traverse City Troy Utica Warren Washington Waterford West Bloomfield Westland White Lake Wyoming Ypsilanti

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Most Births per 1,000 Women in East Lansing

0.0

20.0