Zip Codes with the Most Immigrants from Colombia in Lawrence, KS

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Colombia

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 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 Apache Arab Argentinean Austrian Belgian Bhutanese Blackfeet Brazilian British Burmese Canadian Central American Central American Indian Cherokee Chickasaw Chippewa Choctaw Colombian Comanche Costa Rican Creek Croatian Cuban Czech Czechoslovakian Danish Delaware Dutch Eastern European Ecuadorian English European Filipino Finnish French French American Indian French Canadian German German Russian Greek Honduran Hungarian Indian (Asian)Iranian Irish Iroquois Italian Jamaican Jordanian Korean Lebanese Lithuanian Malaysian Mexican Mexican American Indian Native Hawaiian Navajo Nigerian Northern European Norwegian Paiute Pakistani Panamanian Pennsylvania German Peruvian Polish Portuguese Potawatomi Pueblo Puerto Rican Romanian Russian Salvadoran Scandinavian Scotch-Irish Scottish Seminole Senegalese Serbian Shoshone Sioux Slavic Slovene South American South American Indian Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Tohono O'Odham Turkish Ukrainian Venezuelan Welsh Yugoslavian Yup'ik

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Brazil Canada Central America ChinaColombiaEastern Asia Eastern Europe Ecuador El Salvador England Europe Germany Honduras India Iran Japan Jordan Korea Kuwait Laos Latin America Mexico Nepal Nigeria Northern Europe Pakistan Philippines Poland Russia Saudi Arabia Scotland Senegal Serbia South Africa South America South Central Asia South Eastern Asia Thailand Ukraine Venezuela Vietnam Western Africa Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Asia Brazil Canada Central America China Colombia Eastern Asia Eastern Europe Ecuador El Salvador England Europe Germany Honduras India Iran Japan Jordan Korea Kuwait Laos Latin America Mexico Nepal Nigeria Northern Europe Pakistan Philippines Poland Russia Saudi Arabia Scotland Senegal Serbia South Africa South America South Central Asia South Eastern Asia Thailand Ukraine Venezuela Vietnam Western Africa 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 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 Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Lawrence

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Most Immigrants from Colombia in Lawrence

Zip Codes with the Most Immigrants from Colombia in Lawrence, KS

	Zip Code	Colombia	vs State	vs National
1.	66047	39	1,031(3.78%)#7	860,787(0.00%)#3,324
2.	66046	8	1,031(0.78%)#37	860,787(0.00%)#6,127

Common Questions

What are the Top 3 Zip Codes with the Most Immigrants from Colombia in Lawrence, KS?

Top 3 Zip Codes with the Most Immigrants from Colombia in Lawrence, KS are:

66047

66046

66049

What zip code has the Most Immigrants from Colombia in Lawrence, KS?

66047 has the Most Immigrants from Colombia in Lawrence, KS with 39.

What is the Total Immigrants from Colombia in Lawrence, KS?

Total Immigrants from Colombia in Lawrence is 47.

What is the Total Immigrants from Colombia in Kansas?

Total Immigrants from Colombia in Kansas is 1,031.

What is the Total Immigrants from Colombia in the United States?

Total Immigrants from Colombia in the United States is 860,787.