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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 Smallest Family Size in New York

On this page

Common Questions

What are the Top 10 Cities with the Smallest Family Size in New York?
Top 10 Cities with the Smallest Family Size in New York are:
#1
(1.9)
#2
Winthrop,
(2.0)
#3
Parc,
(2.0)
#4
Cumminsville,
(2.0)
#5
Oak Beach Captree,
(2.0)
#6
Thendara,
(2.0)
#7
Chautauqua,
(2.0)
#8
Shelter Island Heights,
(2.1)
#9
Cragsmoor,
(2.1)
#10
Fishers Landing,
(2.1)
What is the Average Family Size in the State of New York?
Average Family Size in New York is 3.2.
What is the Average Family Size in the United States?
Average Family Size in the United States is 3.2.

Smallest Family Size by City in New York

CityPeople / Familyvs. Statevs. National
1.Binghamton University, NY1.93.2(-1.37)#13.2(-1.35)#154
2.Winthrop, 2.03.2(-1.27)#23.2(-1.25)#289
3.Parc, 2.03.2(-1.25)#33.2(-1.23)#308
4.Cumminsville, 2.03.2(-1.25)#43.2(-1.23)#309
5.Oak Beach Captree, 2.03.2(-1.25)#53.2(-1.23)#310
6.Thendara, 2.03.2(-1.25)#63.2(-1.23)#311
7.Chautauqua, 2.03.2(-1.20)#73.2(-1.18)#528
8.Shelter Island Heights, 2.13.2(-1.18)#83.2(-1.16)#584
9.Cragsmoor, 2.13.2(-1.18)#93.2(-1.16)#585
10.Fishers Landing, 2.13.2(-1.16)#103.2(-1.14)#628
11.Cranberry Lake, 2.13.2(-1.12)#113.2(-1.10)#725
12.Thousand Island Park, 2.13.2(-1.11)#123.2(-1.09)#757
13.Busti, 2.23.2(-1.09)#133.2(-1.07)#816
14.Mooers, 2.23.2(-1.06)#143.2(-1.04)#906
15.Witherbee, 2.23.2(-1.05)#153.2(-1.03)#935
16.Westport, 2.23.2(-1.04)#163.2(-1.02)#973
17.Old Forge, 2.23.2(-1.03)#173.2(-1.01)#1,001
18.Copake Falls, 2.23.2(-1.02)#183.2(-1.00)#1,045
19.Copake Hamlet, 2.23.2(-1.02)#193.2(-1.00)#1,046
20.Kysorville, 2.23.2(-1.02)#203.2(-1.00)#1,047
21.Newfield Hamlet, 2.23.2(-1.00)#213.2(-0.98)#1,117
22.Depauville, 2.23.2(-1.00)#223.2(-0.98)#1,118
23.Heritage Hills, 2.33.2(-0.97)#233.2(-0.95)#1,219
24.North Rose, 2.33.2(-0.95)#243.2(-0.93)#1,308
25.Cuylerville, 2.33.2(-0.95)#253.2(-0.93)#1,309
26.Pottersville, 2.33.2(-0.94)#263.2(-0.92)#1,350
27.Rifton, 2.33.2(-0.94)#273.2(-0.92)#1,351
28.Laurel, 2.33.2(-0.93)#283.2(-0.91)#1,402
29.Phoenicia, 2.33.2(-0.93)#293.2(-0.91)#1,403
30.New Suffolk, 2.33.2(-0.92)#303.2(-0.90)#1,451
31.Norfolk, 2.43.2(-0.90)#313.2(-0.88)#1,559
32.Sodus Point, 2.43.2(-0.90)#323.2(-0.88)#1,560
33.Northwest Harbor, 2.43.2(-0.89)#333.2(-0.87)#1,628
34.Hortonville, 2.43.2(-0.89)#343.2(-0.87)#1,629
35.West Chazy, 2.43.2(-0.88)#353.2(-0.86)#1,685
36.Aurora, 2.43.2(-0.87)#363.2(-0.85)#1,738
37.Hunter, 2.43.2(-0.87)#373.2(-0.85)#1,739
38.Keuka Park, 2.43.2(-0.86)#383.2(-0.84)#1,806
39.Hall, 2.43.2(-0.86)#393.2(-0.84)#1,807
40.West Hurley, 2.43.2(-0.84)#403.2(-0.82)#1,922
41.Marion, 2.43.2(-0.83)#413.2(-0.81)#1,990
42.Pine Hill, 2.43.2(-0.83)#423.2(-0.81)#1,991
43.Orient, 2.43.2(-0.82)#433.2(-0.80)#2,050
44.Duanesburg, 2.43.2(-0.82)#443.2(-0.80)#2,051
45.Copake Lake, 2.43.2(-0.81)#453.2(-0.79)#2,104
46.Malden On Hudson, 2.43.2(-0.81)#463.2(-0.79)#2,105
47.West Hampton Dunes, 2.43.2(-0.81)#473.2(-0.79)#2,106
48.Caroga Lake, 2.53.2(-0.80)#483.2(-0.78)#2,172
49.Morristown, 2.53.2(-0.80)#493.2(-0.78)#2,173
50.South Lima, 2.53.2(-0.80)#503.2(-0.78)#2,174
51.Cayuga Heights, 2.53.2(-0.79)#513.2(-0.77)#2,242
52.Wilmington, 2.53.2(-0.78)#523.2(-0.76)#2,314
53.Willsboro, 2.53.2(-0.78)#533.2(-0.76)#2,315
54.Quogue, 2.53.2(-0.78)#543.2(-0.76)#2,316
55.Herrings, 2.53.2(-0.78)#553.2(-0.76)#2,317
56.Otego, 2.53.2(-0.77)#563.2(-0.75)#2,384
57.Titusville, 2.53.2(-0.77)#573.2(-0.75)#2,385
58.Blodgett Mills, 2.53.2(-0.77)#583.2(-0.75)#2,386
59.Conesus Lake, 2.53.2(-0.75)#593.2(-0.73)#2,542
60.East Hampton, 2.53.2(-0.75)#603.2(-0.73)#2,543
61.Hammondsport, 2.53.2(-0.75)#613.2(-0.73)#2,544
62.Gilbertsville, 2.53.2(-0.75)#623.2(-0.73)#2,545
63.Tuscarora, 2.53.2(-0.75)#633.2(-0.73)#2,546
64.Moriches, 2.53.2(-0.74)#643.2(-0.72)#2,659
65.Chestertown, 2.53.2(-0.74)#653.2(-0.72)#2,660
66.Freedom Plains, 2.53.2(-0.74)#663.2(-0.72)#2,661
67.Star Lake, 2.53.2(-0.73)#673.2(-0.71)#2,728
68.Callicoon, 2.53.2(-0.73)#683.2(-0.71)#2,729
69.Averill Park, 2.53.2(-0.71)#693.2(-0.69)#2,914
70.Gainesville, 2.53.2(-0.71)#703.2(-0.69)#2,915
71.Weston Mills, 2.53.2(-0.70)#713.2(-0.68)#3,005
72.Forest Home, 2.53.2(-0.70)#723.2(-0.68)#3,006
73.Tribes Hill, 2.53.2(-0.70)#733.2(-0.68)#3,007
74.Narrowsburg, 2.53.2(-0.70)#743.2(-0.68)#3,008
75.Bemus Point, 2.53.2(-0.70)#753.2(-0.68)#3,009
76.Linwood, 2.53.2(-0.70)#763.2(-0.68)#3,010
77.Strykersville, 2.63.2(-0.69)#773.2(-0.67)#3,094
78.Lisle, 2.63.2(-0.69)#783.2(-0.67)#3,095
79.Cumberland Head, 2.63.2(-0.68)#793.2(-0.66)#3,188
80.Port Henry, 2.63.2(-0.68)#803.2(-0.66)#3,189
81.Amagansett, 2.63.2(-0.68)#813.2(-0.66)#3,190
82.Elizabethtown, 2.63.2(-0.68)#823.2(-0.66)#3,191
83.Wainscott, 2.63.2(-0.68)#833.2(-0.66)#3,192
84.Canton, 2.63.2(-0.67)#843.2(-0.65)#3,282
85.North Ballston Spa, 2.63.2(-0.67)#853.2(-0.65)#3,283
86.Waddington, 2.63.2(-0.67)#863.2(-0.65)#3,284
87.Downsville, 2.63.2(-0.67)#873.2(-0.65)#3,285
88.Andes, 2.63.2(-0.67)#883.2(-0.65)#3,286
89.Brushton, 2.63.2(-0.66)#893.2(-0.64)#3,389
90.Rhinebeck, 2.63.2(-0.65)#903.2(-0.63)#3,490
91.Frewsburg, 2.63.2(-0.65)#913.2(-0.63)#3,491
92.Ogdensburg, 2.63.2(-0.64)#923.2(-0.62)#3,597
93.Village Green, 2.63.2(-0.64)#933.2(-0.62)#3,598
94.Water Mill, 2.63.2(-0.64)#943.2(-0.62)#3,599
95.Hagaman, 2.63.2(-0.64)#953.2(-0.62)#3,600
96.Tuckahoe, 2.63.2(-0.64)#963.2(-0.62)#3,601
97.Chazy, 2.63.2(-0.64)#973.2(-0.62)#3,602
98.Fleischmanns, 2.63.2(-0.64)#983.2(-0.62)#3,603
99.Liverpool, 2.63.2(-0.63)#993.2(-0.61)#3,735
100.Cooperstown, 2.63.2(-0.63)#1003.2(-0.61)#3,736
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