Zip Codes with the Highest Percentage of Immigrants from Oceania in Manhattan, KS

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Oceania

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 15-19 Lowest Illegitimacy | All Women Lowest Illegitimacy | Women 15-19

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)

African American Arab Austrian Belgian Bhutanese Blackfeet British Burmese Canadian Central American Central American Indian Cherokee Cheyenne Colombian Croatian Czech Czechoslovakian Danish Dutch Eastern European Egyptian English Ethiopian European Filipino Finnish French French Canadian German Greek Guatemalan Honduran Hungarian Indian (Asian)Iranian Irish Italian Jordanian Korean Laotian Lebanese Lithuanian Luxembourger Mexican Native Hawaiian Navajo Nigerian Northern European Norwegian Pakistani Panamanian Pennsylvania German Polish Puerto Rican Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Slovak South American Spaniard Spanish Sri Lankan Subsaharan African Sudanese Swedish Swiss Thai Ukrainian Venezuelan Welsh

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Canada Central America China Eastern Africa Eastern Asia Eastern Europe Europe Germany India Indonesia Iran Japan Korea Latin America Mexico Nepal Northern Europe Oceania Philippines South America South Central Asia South Eastern Asia Sri Lanka Taiwan Venezuela Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Asia Canada Central America China Eastern Africa Eastern Asia Eastern Europe Europe Germany India Indonesia Iran Japan Korea Latin America Mexico Nepal Northern EuropeOceaniaPhilippines South America South Central Asia South Eastern Asia Sri Lanka Taiwan Venezuela Western Asia Western Europe

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

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-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Manhattan

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Highest Percentage of Immigrants from Oceania in Manhattan

0.00%

0.40%

Zip Codes with the Highest Percentage of Immigrants from Oceania in Manhattan Map

Zip Codes with the Highest Percentage of Immigrants from Oceania in Manhattan, KS

	Zip Code	Oceania	vs State	vs National
1.	66503	0.37%	0.062%(+0.310)#-1	0.089%(+0.283)#0
2.	66502	0.076%	0.062%(+0.014)#0	0.089%(-0.013)#1

Common Questions

What are the Top Zip Codes with the Highest Percentage of Immigrants from Oceania in Manhattan, KS?

Top Zip Codes with the Highest Percentage of Immigrants from Oceania in Manhattan, KS are:

66503

0.37%

66502

0.076%

66506

0.00%

What zip code has the Highest Percentage of Immigrants from Oceania in Manhattan, KS?

66503 has the Highest Percentage of Immigrants from Oceania in Manhattan, KS with 0.37%.

What is the Percentage of Immigrants from Oceania in Manhattan, KS?

Percentage of Immigrants from Oceania in Manhattan is 0.17%.

What is the Percentage of Immigrants from Oceania in Kansas?

Percentage of Immigrants from Oceania in Kansas is 0.062%.

What is the Percentage of Immigrants from Oceania in the United States?

Percentage of Immigrants from Oceania in the United States is 0.089%.