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Demographic Comparison

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 Smallest Family Size Smallest Household Size

Female Fertility

Highest Birth Rate | All Women Highest Birth Rate | Women 15-19 Highest Birth Rate | Women 35+Highest Birth Rate | Below Poverty Highest Birth Rate | Public Income Highest Birth Rate | In Labor Force Lowest Birth Rate | All Women Lowest Birth Rate | Women 15-19 Lowest Birth Rate | Women 35+Lowest Birth Rate | Below Poverty Lowest Birth Rate | Public Income Lowest Birth Rate | In Labor Force

Female Fertility (Unmarried)

Highest Illegitimacy | All Women Highest Illegitimacy | Women 15-19 Highest Illegitimacy | Women 35+Lowest Illegitimacy | All Women Lowest Illegitimacy | Women 15-19 Lowest Illegitimacy | Women 35+

Race (Community Size)

Asian Black / African American Hawaian / Pacific Hispanic or Latino Native / Alaskan White / Caucasian

Race (Percentage)

Asian Black / African American Hawaian / Pacific Hispanic or Latino Native / Alaskan White / Caucasian

Ancestry (Community Size)

Afghan African Alaska Native Alaskan Athabascan Albanian Aleut Alsatian American Apache Arab Arapaho Argentinean Armenian Assyrian / Chaldean / Syriac Australian Austrian Bahamian Bangladeshi Barbadian Basque Belgian Belizean Bermudan Bhutanese Blackfeet Bolivian Brazilian British British West Indian Bulgarian Burmese Cajun Cambodian Canadian Cape Verdean Carpatho Rusyn Celtic Central American Central American Indian Cherokee Cheyenne Chickasaw Chilean Chinese Chippewa Choctaw Colombian Colville Comanche Costa Rican Cree Creek Croatian Crow Cuban Cypriot Czech Czechoslovakian Danish Delaware Dominican Dutch Dutch West Indian Eastern European Ecuadorian Egyptian English Estonian Ethiopian European Fijian Filipino Finnish French French American Indian French Canadian German German Russian Ghanaian Greek Guamanian / Chamorro Guatemalan Guyanese Haitian Hmong Honduran Hopi Houma Hungarian Icelander Indian (Asian)Indonesian Inupiat Iranian Iraqi Irish Iroquois Israeli Italian Jamaican Japanese JordanianKenyanKiowa Korean Laotian Latvian Lebanese Liberian Lithuanian Lumbee Luxembourger Macedonian Malaysian Maltese Marshallese Menominee Mexican Mexican American Indian Mongolian Moroccan Native Hawaiian Navajo Nepalese New Zealander Nicaraguan Nigerian Northern European Norwegian Okinawan Osage Ottawa Paiute Pakistani Palestinian Panamanian Paraguayan Pennsylvania German Peruvian Pima Polish Portuguese Potawatomi Pueblo Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Seminole Senegalese Serbian Shoshone Sierra Leonean Sioux Slavic Slovak Slovene Somali South African South American South American Indian Soviet Union Spaniard Spanish Spanish American Spanish American Indian Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Taiwanese Thai Tlingit-Haida Tohono O'Odham Tongan Trinidadian and Tobagonian Tsimshian Turkish U.S. Virgin Islander Ugandan Ukrainian Uruguayan Ute Venezuelan Vietnamese Welsh West Indian Yakama Yaqui Yugoslavian Yuman Yup'ik Zimbabwean

Ancestry (Percentage)

Afghan African Alaska Native Alaskan Athabascan Albanian Aleut Alsatian American Apache Arab Arapaho Argentinean Armenian Assyrian / Chaldean / Syriac Australian Austrian Bahamian Bangladeshi Barbadian Basque Belgian Belizean Bermudan Bhutanese Blackfeet Bolivian Brazilian British British West Indian Bulgarian Burmese Cajun Cambodian Canadian Cape Verdean Carpatho Rusyn Celtic Central American Central American Indian Cherokee Cheyenne Chickasaw Chilean Chinese Chippewa Choctaw Colombian Colville Comanche Costa Rican Cree Creek Croatian Crow Cuban Cypriot Czech Czechoslovakian Danish Delaware Dominican Dutch Dutch West Indian Eastern European Ecuadorian Egyptian English Estonian Ethiopian European Fijian Filipino Finnish French French American Indian French Canadian German German Russian Ghanaian Greek Guamanian / Chamorro Guatemalan Guyanese Haitian Hmong Honduran Hopi Houma Hungarian Icelander Indian (Asian)Indonesian Inupiat Iranian Iraqi Irish Iroquois Israeli Italian Jamaican Japanese Jordanian Kenyan Kiowa Korean Laotian Latvian Lebanese Liberian Lithuanian Lumbee Luxembourger Macedonian Malaysian Maltese Marshallese Menominee Mexican Mexican American Indian Mongolian Moroccan Native Hawaiian Navajo Nepalese New Zealander Nicaraguan Nigerian Northern European Norwegian Okinawan Osage Ottawa Paiute Pakistani Palestinian Panamanian Paraguayan Pennsylvania German Peruvian Pima Polish Portuguese Potawatomi Pueblo Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Seminole Senegalese Serbian Shoshone Sierra Leonean Sioux Slavic Slovak Slovene Somali South African South American South American Indian Soviet Union Spaniard Spanish Spanish American Spanish American Indian Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Taiwanese Thai Tlingit-Haida Tohono O'Odham Tongan Trinidadian and Tobagonian Tsimshian Turkish U.S. Virgin Islander Ugandan Ukrainian Uruguayan Ute Venezuelan Vietnamese Welsh West Indian Yakama Yaqui Yugoslavian Yuman Yup'ik Zimbabwean

Economic Comparison

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

Highest Poverty Highest Poverty | Male Highest Poverty | Female Highest Poverty | Female 18-24 Highest Poverty | Female 25-34 Highest Poverty | Child 0-5 Highest Poverty | Child 0-16 Highest Poverty | Boys 0-16 Highest Poverty | Girls 0-16 Highest Poverty | Seniors 65+Highest Poverty | Seniors 75+ Lowest Poverty Lowest Poverty | Male Lowest Poverty | Female Lowest Poverty | Child 0-5 Lowest Poverty | Child 0-16 Lowest Poverty | Boys 0-16 Lowest Poverty | Girls 0-16 Lowest Poverty | Seniors 65+Lowest Poverty | Seniors 75+

Poverty (Families)

Highest Family Poverty Highest Poverty | Married Couple Highest Poverty | Single Male Highest Poverty | Single Female Highest Poverty | Single Father Highest Poverty | Single Mother Lowest Family Poverty Lowest Poverty | Married Couple Lowest Poverty | Single Male Lowest Poverty | Single Female Lowest Poverty | Single Father Lowest Poverty | Single Mother

Unemployment

Highest Unemployment Highest Unemployment | Male Highest Unemployment | Female Highest Unemployment | Youth < 25 Highest Unemployment | Senior > 65 Lowest Unemployment Lowest Unemployment | Male Lowest Unemployment | Female Lowest Unemployment | Youth < 25 Lowest Unemployment | Senior > 65

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 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

Education Comparison

School Enrollment

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

Housing Comparison

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 Coal / Coke 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

Cities with the Largest Kenyan Community in New York

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Common Questions New York Zip Code Data

Common Questions

What are the Top 10 Cities with the Largest Kenyan Community in New York?

Top 10 Cities with the Largest Kenyan Community in New York are:

#1

(1,091)

#2

(337)

#3

(239)

#4

(238)

#5

(98)

#6

(68)

#7

(46)

#8

(45)

#9

(35)

#10

(28)

What is the Total Kenyan Population in the State of New York?

Total Kenyan Population in New York is 2,791.

What is the Total Kenyan Population in the United States?

Total Kenyan Population in the United States is 86,644.

Largest Kenyan Community by City in New York

	City	Kenyan	vs. State	vs. National
1.	New York, NY	1,091	2,791(39.09%)#1	86,644(1.26%)#4
2.	Scotchtown,	337	2,791(12.07%)#2	86,644(0.39%)#44
3.	Buffalo,	239	2,791(8.56%)#3	86,644(0.28%)#80
4.	Rochester,	238	2,791(8.53%)#4	86,644(0.27%)#81
5.	Albany,	98	2,791(3.51%)#5	86,644(0.11%)#212
6.	Utica,	68	2,791(2.44%)#6	86,644(0.08%)#279
7.	Syracuse,	46	2,791(1.65%)#7	86,644(0.05%)#373
8.	Ossining,	45	2,791(1.61%)#8	86,644(0.05%)#379
9.	Brighton,	35	2,791(1.25%)#9	86,644(0.04%)#423
10.	Mount Vernon,	28	2,791(1.00%)#10	86,644(0.03%)#477
11.	Westmere,	28	2,791(1.00%)#11	86,644(0.03%)#478
12.	Dobbs Ferry,	27	2,791(0.97%)#12	86,644(0.03%)#484
13.	Amsterdam,	24	2,791(0.86%)#13	86,644(0.03%)#509
14.	Troy,	23	2,791(0.82%)#14	86,644(0.03%)#522
15.	Mineola,	23	2,791(0.82%)#15	86,644(0.03%)#523
16.	Yonkers,	22	2,791(0.79%)#16	86,644(0.03%)#534
17.	Peekskill,	22	2,791(0.79%)#17	86,644(0.03%)#535
18.	Port Jefferson,	19	2,791(0.68%)#18	86,644(0.02%)#577
19.	Nyack,	19	2,791(0.68%)#19	86,644(0.02%)#578
20.	Johnson City,	18	2,791(0.64%)#20	86,644(0.02%)#592
21.	Hampton Bays,	14	2,791(0.50%)#21	86,644(0.02%)#654
22.	Stony Brook University,	13	2,791(0.47%)#22	86,644(0.02%)#671
23.	Monroe,	13	2,791(0.47%)#23	86,644(0.02%)#672
24.	Highland Falls,	11	2,791(0.39%)#24	86,644(0.01%)#717
25.	North Tonawanda,	10	2,791(0.36%)#25	86,644(0.01%)#740
26.	West Point,	7	2,791(0.25%)#26	86,644(0.01%)#817
27.	New Rochelle,	6	2,791(0.21%)#27	86,644(0.01%)#842
28.	Suffern,	6	2,791(0.21%)#28	86,644(0.01%)#843
29.	Ithaca,	5	2,791(0.18%)#29	86,644(0.01%)#862
30.	Youngstown,	5	2,791(0.18%)#30	86,644(0.01%)#863
31.	Lima,	4	2,791(0.14%)#31	86,644(0.00%)#883
32.	Harrison,	3	2,791(0.11%)#32	86,644(0.00%)#901
33.	Potsdam,	3	2,791(0.11%)#33	86,644(0.00%)#902
34.	Orangeburg,	2	2,791(0.07%)#34	86,644(0.00%)#915
35.	Cayuga Heights,	2	2,791(0.07%)#35	86,644(0.00%)#916