Zip Codes with the Largest Peruvian Community in Waterbury, CT

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Peruvian

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 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)

Afghan African Albanian American Arab Argentinean Armenian Austrian Belgian Bhutanese Brazilian British British West Indian Canadian Cape Verdean Central American Central American Indian Cherokee Chilean Colombian Cuban Czech Danish Dominican Dutch Eastern European Ecuadorian English European Finnish French French Canadian German Greek Guatemalan Guyanese Haitian Honduran Hungarian Indian (Asian)Irish Israeli Italian Jamaican Jordanian Korean Lebanese Lithuanian Macedonian Malaysian Mexican Moroccan Nigerian Northern European Norwegian PanamanianPeruvianPolish Portuguese Puerto Rican Russian Salvadoran Scandinavian Scotch-Irish Scottish Sioux Slovak South American South American Indian Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Trinidadian and Tobagonian Ukrainian Venezuelan Welsh West Indian

Ancestry (Percentage)

Afghan African Albanian American Arab Argentinean Armenian Austrian Belgian Bhutanese Brazilian British British West Indian Canadian Cape Verdean Central American Central American Indian Cherokee Chilean Colombian Cuban Czech Danish Dominican Dutch Eastern European Ecuadorian English European Finnish French French Canadian German Greek Guatemalan Guyanese Haitian Honduran Hungarian Indian (Asian)Irish Israeli Italian Jamaican Jordanian Korean Lebanese Lithuanian Macedonian Malaysian Mexican Moroccan Nigerian Northern European Norwegian Panamanian Peruvian Polish Portuguese Puerto Rican Russian Salvadoran Scandinavian Scotch-Irish Scottish Sioux Slovak South American South American Indian Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Trinidadian and Tobagonian Ukrainian Venezuelan Welsh West Indian

Immigrant Origin (Total)

Afghanistan Africa Albania Argentina Asia Brazil Cabo Verde Canada Caribbean Central America Chile China Colombia Cuba Dominica Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador El Salvador England Europe France Germany Ghana Greece Guatemala Guyana Haiti Honduras India Italy Jamaica Japan Jordan Korea Laos Latin America Lebanon Mexico Middle Africa Morocco Nigeria North Macedonia Northern Africa Northern Europe Pakistan Panama Peru Philippines Poland Portugal Russia South Africa South America South Central Asia South Eastern Asia Southern Europe Trinidad and Tobago Ukraine Venezuela 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 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

Waterbury

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Largest Peruvian Community in Waterbury

150

Zip Codes with the Largest Peruvian Community in Waterbury Map

Zip Codes with the Largest Peruvian Community in Waterbury, CT

	Zip Code	Peruvian	vs State	vs National
1.	06708	141	20,824(0.68%)#39	712,740(0.02%)#1,321
2.	06705	21	20,824(0.10%)#111	712,740(0.00%)#4,442

Common Questions

What are the Top 5 Zip Codes with the Largest Peruvian Community in Waterbury, CT?

Top 5 Zip Codes with the Largest Peruvian Community in Waterbury, CT are:

141

What zip code has the Largest Peruvian Community in Waterbury, CT?

06708 has the Largest Peruvian Community in Waterbury, CT with 141.

What is the Total Peruvian Population in Waterbury, CT?

Total Peruvian Population in Waterbury is 162.

What is the Total Peruvian Population in Connecticut?

Total Peruvian Population in Connecticut is 20,824.

What is the Total Peruvian Population in the United States?

Total Peruvian Population in the United States is 712,740.