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Demographic Comparison
Population
Highest PopulationHighest Population DensityLowest Population DensityMale / Female RatioFemale / Male RatioOldest PopulationOldest Population | MaleOldest Population | FemaleYoungest PopulationYoungest Population | MaleYoungest Population | Female
Families and Households
Largest Family SizeLargest Household SizeSmallest Family SizeSmallest Household Size
Female Fertility
Highest Birth Rate | All WomenHighest Birth Rate | Women 15-19Highest Birth Rate | Women 35+Highest Birth Rate | Below PovertyHighest Birth Rate | Public IncomeHighest Birth Rate | In Labor ForceLowest Birth Rate | All WomenLowest Birth Rate | Women 15-19Lowest Birth Rate | Women 35+Lowest Birth Rate | Below PovertyLowest Birth Rate | Public IncomeLowest Birth Rate | In Labor Force
Female Fertility (Unmarried)
Highest Illegitimacy | All WomenHighest Illegitimacy | Women 15-19Highest Illegitimacy | Women 35+Lowest Illegitimacy | All WomenLowest Illegitimacy | Women 15-19Lowest Illegitimacy | Women 35+
Race (Community Size)
AsianBlack / African AmericanHawaian / PacificHispanic or LatinoNative / AlaskanWhite / Caucasian
Race (Percentage)
AsianBlack / African AmericanHawaian / PacificHispanic or LatinoNative / AlaskanWhite / Caucasian
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Economic Comparison
Income
Highest Per Capita IncomeHighest Earnings | MaleHighest Earnings | FemaleHighest Wage/Income Gap ($)Highest Wage/Income Gap (%)Highest Inequality / Gini IndexLowest Per Capita IncomeLowest Earnings | MaleLowest Earnings | FemaleLowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)Lowest Inequality / Gini Index
Income (Families)
Highest Family IncomeLowest Family IncomeFamily Income | $0-10kFamily Income | $100k+Family Income | $200k+
Income (Households)
Highest Household IncomeLowest Household IncomeHousehold Income | $0-10kHousehold Income | $200k+Household Income | $100k+
Poverty
Highest PovertyHighest Poverty | MaleHighest Poverty | FemaleHighest Poverty | Female 18-24Highest Poverty | Female 25-34Highest Poverty | Child 0-5Highest Poverty | Child 0-16Highest Poverty | Boys 0-16Highest Poverty | Girls 0-16Highest Poverty | Seniors 65+Highest Poverty | Seniors 75+ Lowest PovertyLowest Poverty | MaleLowest Poverty | FemaleLowest Poverty | Child 0-5Lowest Poverty | Child 0-16Lowest Poverty | Boys 0-16Lowest Poverty | Girls 0-16Lowest Poverty | Seniors 65+Lowest Poverty | Seniors 75+
Poverty (Families)
Highest Family PovertyHighest Poverty | Married CoupleHighest Poverty | Single MaleHighest Poverty | Single FemaleHighest Poverty | Single FatherHighest Poverty | Single MotherLowest Family PovertyLowest Poverty | Married CoupleLowest Poverty | Single MaleLowest Poverty | Single FemaleLowest Poverty | Single FatherLowest Poverty | Single Mother
Unemployment
Highest UnemploymentHighest Unemployment | MaleHighest Unemployment | FemaleHighest Unemployment | Youth < 25Highest Unemployment | Senior > 65Lowest UnemploymentLowest Unemployment | MaleLowest Unemployment | FemaleLowest Unemployment | Youth < 25Lowest Unemployment | Senior > 65
Employment Occupations
Architecture & EngineeringArts, Media & EntertainmentBusiness & FinancialCleaning & MaintenanceCommunity & Social Service Computer & MathematicsComputer, Engineering & ScienceConstruction & ExtractionEducation Instruction & LibraryEducation, Arts & MediaFarming, Fishing & ForestryFirefighting & PreventionFood Preparation & ServingHealth Diagnosing & TreatingHealth TechnologistsHealthcare SupportInstallation, Maintenance & RepairLaw EnforcementLegal Services & SupportLife, Physical & Social ScienceManagementMaterial MovingOffice & AdministrationPersonal Care and ServiceProductionSales & RelatedSecurity & ProtectionTransportation
Employment Industries
Accommodation & Food ServicesAdministrative & Support ServicesAgriculture, Fishing & HuntingArts, Entertainment & RecreationConstructionEducational ServicesEnterprise ManagementFinance & InsuranceHealth Care & Social AssistanceInformationManufacturingMining, Quarrying, & ExtractionProfessional & Scientific ServicesPublic AdministrationReal Estate, Rental & LeasingRetail TradeTransportation & WarehousingUtilitiesWholesale Trade
Employer Class
Private Company EmployeesSelf-Employed / IncorporatedSelf-Employed / Not IncorporatedNot-for-profit OrganizationsLocal Government EmployeesState Government EmployeesFederal Government EmployeesUnpaid Family Workers
Commute Time
Longest CommuteLongest Commute | MaleLongest Commute | FemaleShortest CommuteShortest Commute | MaleShortest Commute | Female
Commute Means
Drive | AloneDrive | CarpoolPublic TransitTaxi / CabWalk to WorkWork from Home
Education Comparison
School Enrollment
Nursery / PreschoolKindergartenElementary SchoolMiddle SchoolHigh SchoolCollegeUniversity
Education by Degree Field
Computers and MathematicsBio, Nature & AgriculturalPhysical and Health SciencesPsychologySocial SciencesEngineeringMultidisciplinary StudiesScience and EngineeringBusinessEducationLiterature and LanguagesLiberal Arts and HistoryVisual and Performing ArtsCommunicationsArts and Humanities
Housing Comparison
Occupancy
Highest Owner-OccupiedHighest Renter-OccupiedLowest Owner-OccupiedLowest Renter-Occupied
Finances
Highest Median Housing CostsHighest Property PricesHighest Owner Housing CostsHighest Renter Housing CostsHighest Housing Costs / IncomeLowest Median Housing CostsLowest Property PricesLowest Owner Housing CostsLowest Renter Housing CostsLowest Housing Costs / Income
Physical Characteristics
Detached Home ResidencyCondo/Apartment ResidencyUtility Gas HeatingBottled Gas / LP HeatingElectrical HeatingFuel Oil HeatingCoal / Coke HeatingFuel-less HeatingHouseholds without a CarsHouseholds with 1 or more CarsHouseholds with 2 or more CarsHouseholds with 3 or more Cars

Cities with the Largest Mexican Community in New York

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Common Questions

What are the Top 10 Cities with the Largest Mexican Community in New York?
Top 10 Cities with the Largest Mexican Community in New York are:
#1
(332,198)
#2
Yonkers,
(14,172)
#3
New Rochelle,
(10,501)
#4
Newburgh,
(6,653)
#5
White Plains,
(4,463)
#6
Port Chester,
(4,295)
#7
Middletown,
(3,110)
#8
Poughkeepsie,
(2,718)
#9
Buffalo,
(2,241)
#10
Rochester,
(1,699)
What is the Total Mexican Population in the State of New York?
Total Mexican Population in New York is 481,280.
What is the Total Mexican Population in the United States?
Total Mexican Population in the United States is 36,983,682.

Largest Mexican Community by City in New York

CityMexicanvs. Statevs. National
1.New York, NY332,198481,280(69.02%)#136,983,682(0.90%)#9
2.Yonkers, 14,172481,280(2.94%)#236,983,682(0.04%)#381
3.New Rochelle, 10,501481,280(2.18%)#336,983,682(0.03%)#503
4.Newburgh, 6,653481,280(1.38%)#436,983,682(0.02%)#745
5.White Plains, 4,463481,280(0.93%)#536,983,682(0.01%)#986
6.Port Chester, 4,295481,280(0.89%)#636,983,682(0.01%)#1,032
7.Middletown, 3,110481,280(0.65%)#736,983,682(0.01%)#1,313
8.Poughkeepsie, 2,718481,280(0.56%)#836,983,682(0.01%)#1,441
9.Buffalo, 2,241481,280(0.47%)#936,983,682(0.01%)#1,635
10.Rochester, 1,699481,280(0.35%)#1036,983,682(0.00%)#1,987
11.Mount Vernon, 1,580481,280(0.33%)#1136,983,682(0.00%)#2,078
12.Fort Drum, 1,484481,280(0.31%)#1236,983,682(0.00%)#2,170
13.Brentwood, 1,383481,280(0.29%)#1336,983,682(0.00%)#2,279
14.Kingston, 1,270481,280(0.26%)#1436,983,682(0.00%)#2,408
15.Mamaroneck, 1,141481,280(0.24%)#1536,983,682(0.00%)#2,555
16.New Cassel, 1,043481,280(0.22%)#1636,983,682(0.00%)#2,693
17.Hempstead, 1,040481,280(0.22%)#1736,983,682(0.00%)#2,701
18.Copiague, 997481,280(0.21%)#1836,983,682(0.00%)#2,784
19.Hampton Bays, 944481,280(0.20%)#1936,983,682(0.00%)#2,877
20.Schenectady, 918481,280(0.19%)#2036,983,682(0.00%)#2,922
21.Shirley, 909481,280(0.19%)#2136,983,682(0.00%)#2,950
22.Syracuse, 900481,280(0.19%)#2236,983,682(0.00%)#2,969
23.Albany, 835481,280(0.17%)#2336,983,682(0.00%)#3,097
24.Monroe, 783481,280(0.16%)#2436,983,682(0.00%)#3,238
25.Uniondale, 768481,280(0.16%)#2536,983,682(0.00%)#3,272
26.Goshen, 753481,280(0.16%)#2636,983,682(0.00%)#3,308
27.Westbury, 716481,280(0.15%)#2736,983,682(0.00%)#3,410
28.Suffern, 712481,280(0.15%)#2836,983,682(0.00%)#3,419
29.Flanders, 652481,280(0.14%)#2936,983,682(0.00%)#3,604
30.Mechanicstown, 621481,280(0.13%)#3036,983,682(0.00%)#3,713
31.Manorhaven, 593481,280(0.12%)#3136,983,682(0.00%)#3,814
32.Binghamton, 588481,280(0.12%)#3236,983,682(0.00%)#3,831
33.Gardnertown, 563481,280(0.12%)#3336,983,682(0.00%)#3,924
34.Freeport, 561481,280(0.12%)#3436,983,682(0.00%)#3,935
35.Baldwin, 539481,280(0.11%)#3536,983,682(0.00%)#4,034
36.Calcium, 536481,280(0.11%)#3636,983,682(0.00%)#4,045
37.Spring Valley, 534481,280(0.11%)#3736,983,682(0.00%)#4,053
38.Bethpage, 522481,280(0.11%)#3836,983,682(0.00%)#4,092
39.Harrison, 504481,280(0.10%)#3936,983,682(0.00%)#4,164
40.Noyack, 496481,280(0.10%)#4036,983,682(0.00%)#4,200
41.Medford, 495481,280(0.10%)#4136,983,682(0.00%)#4,206
42.Riverhead, 488481,280(0.10%)#4236,983,682(0.00%)#4,235
43.Elmira, 482481,280(0.10%)#4336,983,682(0.00%)#4,264
44.Huntington Station, 466481,280(0.10%)#4436,983,682(0.00%)#4,356
45.Woodbury, 463481,280(0.10%)#4536,983,682(0.00%)#4,370
46.East Hampton North, 463481,280(0.10%)#4636,983,682(0.00%)#4,371
47.Beacon, 459481,280(0.10%)#4736,983,682(0.00%)#4,398
48.Troy, 456481,280(0.09%)#4836,983,682(0.00%)#4,412
49.Wappingers Falls, 454481,280(0.09%)#4936,983,682(0.00%)#4,424
50.Watervliet, 438481,280(0.09%)#5036,983,682(0.00%)#4,506
51.Rome, 434481,280(0.09%)#5136,983,682(0.00%)#4,527
52.Glen Cove, 431481,280(0.09%)#5236,983,682(0.00%)#4,548
53.Utica, 414481,280(0.09%)#5336,983,682(0.00%)#4,639
54.Central Islip, 405481,280(0.08%)#5436,983,682(0.00%)#4,700
55.Hicksville, 403481,280(0.08%)#5536,983,682(0.00%)#4,716
56.Franklin Square, 394481,280(0.08%)#5636,983,682(0.00%)#4,772
57.West Haverstraw, 387481,280(0.08%)#5736,983,682(0.00%)#4,816
58.Dunkirk, 385481,280(0.08%)#5836,983,682(0.00%)#4,828
59.East Patchogue, 384481,280(0.08%)#5936,983,682(0.00%)#4,836
60.Mastic, 381481,280(0.08%)#6036,983,682(0.00%)#4,859
61.Haverstraw, 381481,280(0.08%)#6136,983,682(0.00%)#4,860
62.Great Neck, 373481,280(0.08%)#6236,983,682(0.00%)#4,914
63.Nyack, 366481,280(0.08%)#6336,983,682(0.00%)#4,966
64.Ossining, 358481,280(0.07%)#6436,983,682(0.00%)#5,008
65.Elmont, 356481,280(0.07%)#6536,983,682(0.00%)#5,022
66.Peekskill, 352481,280(0.07%)#6636,983,682(0.00%)#5,055
67.North Sea, 347481,280(0.07%)#6736,983,682(0.00%)#5,090
68.Coram, 336481,280(0.07%)#6836,983,682(0.00%)#5,181
69.North Patchogue, 330481,280(0.07%)#6936,983,682(0.00%)#5,221
70.Manorville, 327481,280(0.07%)#7036,983,682(0.00%)#5,243
71.Amsterdam, 316481,280(0.07%)#7136,983,682(0.00%)#5,319
72.Ithaca, 315481,280(0.07%)#7236,983,682(0.00%)#5,329
73.East Meadow, 313481,280(0.07%)#7336,983,682(0.00%)#5,350
74.West Point, 313481,280(0.07%)#7436,983,682(0.00%)#5,351
75.Stony Point, 307481,280(0.06%)#7536,983,682(0.00%)#5,392
76.Canandaigua, 293481,280(0.06%)#7636,983,682(0.00%)#5,490
77.East Massapequa, 289481,280(0.06%)#7736,983,682(0.00%)#5,537
78.West Babylon, 286481,280(0.06%)#7836,983,682(0.00%)#5,573
79.Scarsdale, 284481,280(0.06%)#7936,983,682(0.00%)#5,588
80.Fairview Cdp Dutchess County, 282481,280(0.06%)#8036,983,682(0.00%)#5,613
81.Pine Bush, 281481,280(0.06%)#8136,983,682(0.00%)#5,624
82.Vails Gate, 280481,280(0.06%)#8236,983,682(0.00%)#5,634
83.Inwood, 278481,280(0.06%)#8336,983,682(0.00%)#5,653
84.Elmsford, 276481,280(0.06%)#8436,983,682(0.00%)#5,664
85.Watertown, 267481,280(0.06%)#8536,983,682(0.00%)#5,757
86.Brewster, 266481,280(0.06%)#8636,983,682(0.00%)#5,770
87.West Islip, 248481,280(0.05%)#8736,983,682(0.00%)#5,959
88.Plainedge, 248481,280(0.05%)#8836,983,682(0.00%)#5,960
89.Saratoga Springs, 246481,280(0.05%)#8936,983,682(0.00%)#5,983
90.Auburn, 246481,280(0.05%)#9036,983,682(0.00%)#5,984
91.Oneonta, 246481,280(0.05%)#9136,983,682(0.00%)#5,985
92.Nanuet, 237481,280(0.05%)#9236,983,682(0.00%)#6,080
93.Massapequa Park, 237481,280(0.05%)#9336,983,682(0.00%)#6,081
94.Bay Shore, 231481,280(0.05%)#9436,983,682(0.00%)#6,150
95.Washington Heights, 230481,280(0.05%)#9536,983,682(0.00%)#6,161
96.Fairview Cdp Westchester County, 229481,280(0.05%)#9636,983,682(0.00%)#6,173
97.Cheektowaga, 225481,280(0.05%)#9736,983,682(0.00%)#6,220
98.Arlington, 225481,280(0.05%)#9836,983,682(0.00%)#6,221
99.Deer Park, 224481,280(0.05%)#9936,983,682(0.00%)#6,233
100.Brighton, 222481,280(0.05%)#10036,983,682(0.00%)#6,263
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