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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 Lowest Wage/Income Gap (%) in the United States

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Common Questions

What are the Top 10 Cities with the Lowest Wage/Income Gap (%) in the United States?
Top 10 Cities with the Lowest Wage/Income Gap (%) in the United States are:
#1
(0.02%)
#2
(0.04%)
#3
(0.04%)
#4
Montgomery,
(0.06%)
#5
(0.06%)
#6
(0.07%)
#7
(0.08%)
#8
(0.08%)
#9
(0.09%)
#10
Swepsonville,
(0.09%)
What is the Wage / Income Gap in Percentage Terms in the United States?
Wage / Income Gap in Percentage Terms in the United States is 27.86%.

Lowest Wage/Income Gap (%) by City in the United States

CityWage/Income Gap (%)vs. Statevs. National
1.Zebulon, NC0.02%25.57%(-0.26)#127.86%(-0.28)#1
2.Lake Erie Beach, NY0.04%23.75%(-0.24)#127.86%(-0.28)#2
3.La Croft, OH0.04%32.80%(-0.33)#127.86%(-0.28)#3
4.Montgomery, 0.06%23.75%(-0.24)#227.86%(-0.28)#4
5.Ensign, KS0.06%33.63%(-0.34)#127.86%(-0.28)#5
6.Green Valley Cdp Los Angeles County, CA0.07%25.90%(-0.26)#127.86%(-0.28)#6
7.Boles Acres, NM0.08%25.21%(-0.25)#127.86%(-0.28)#7
8.St John, ND0.08%32.98%(-0.33)#127.86%(-0.28)#8
9.Raymondville, TX0.09%31.56%(-0.31)#127.86%(-0.28)#9
10.Swepsonville, 0.09%25.57%(-0.25)#227.86%(-0.28)#10
11.Jonesboro, IL0.09%31.20%(-0.31)#127.86%(-0.28)#11
12.Pittsburg, 0.10%31.20%(-0.31)#227.86%(-0.28)#12
13.Berwyn Heights, MD0.11%23.34%(-0.23)#127.86%(-0.28)#13
14.Upper Marlboro, 0.11%23.34%(-0.23)#227.86%(-0.28)#14
15.Union Park, FL0.12%22.18%(-0.22)#127.86%(-0.28)#15
16.Geneva On The Lake, 0.12%32.80%(-0.33)#227.86%(-0.28)#16
17.Slickville, PA0.12%30.21%(-0.30)#127.86%(-0.28)#17
18.Shiner, 0.14%31.56%(-0.31)#227.86%(-0.28)#18
19.Ophir, CO0.14%28.87%(-0.29)#127.86%(-0.28)#19
20.Ellsworth, 0.15%33.63%(-0.33)#227.86%(-0.28)#20
21.Gresham Park, GA0.16%27.31%(-0.27)#127.86%(-0.28)#21
22.Lafitte, LA0.16%37.31%(-0.37)#127.86%(-0.28)#22
23.Whigham, 0.16%27.31%(-0.27)#227.86%(-0.28)#23
24.Keensburg, 0.16%31.20%(-0.31)#327.86%(-0.28)#24
25.Captain Cook, HI0.17%22.59%(-0.22)#127.86%(-0.28)#25
26.Avalon, 0.17%22.18%(-0.22)#227.86%(-0.28)#26
27.Windcrest, 0.18%31.56%(-0.31)#327.86%(-0.28)#27
28.Landisville, 0.18%30.21%(-0.30)#227.86%(-0.28)#28
29.North Hampton, 0.18%32.80%(-0.33)#327.86%(-0.28)#29
30.Downey, ID0.19%38.60%(-0.38)#127.86%(-0.28)#30
31.Pateros, WA0.20%33.96%(-0.34)#127.86%(-0.28)#31
32.Laurens, 0.20%23.75%(-0.24)#327.86%(-0.28)#32
33.Crystal, 0.21%25.21%(-0.25)#227.86%(-0.28)#33
34.Jobos, PR0.24%0.84%(-0.01)#127.86%(-0.28)#34
35.Scotland, IN0.24%34.74%(-0.34)#127.86%(-0.28)#35
36.Levittown, 0.25%0.84%(-0.01)#227.86%(-0.28)#36
37.Markham, 0.25%31.20%(-0.31)#427.86%(-0.28)#37
38.Vail, 0.25%28.87%(-0.29)#227.86%(-0.28)#38
39.East Hazel Crest, 0.25%31.20%(-0.31)#527.86%(-0.28)#39
40.Berlin, 0.25%31.20%(-0.31)#627.86%(-0.28)#40
41.Tom Bean, 0.27%31.56%(-0.31)#427.86%(-0.28)#41
42.Parkway Village, KY0.27%29.25%(-0.29)#127.86%(-0.28)#42
43.Casey, IA0.27%33.39%(-0.33)#127.86%(-0.28)#43
44.Hamilton, AL0.28%33.38%(-0.33)#127.86%(-0.28)#44
45.Kappa, 0.28%31.20%(-0.31)#727.86%(-0.28)#45
46.Virginia City, MT0.28%29.22%(-0.29)#127.86%(-0.28)#46
47.Air Force Academy, 0.29%28.87%(-0.29)#327.86%(-0.28)#47
48.Andrews, SC0.29%28.29%(-0.28)#127.86%(-0.28)#48
49.Monticello, 0.29%22.18%(-0.22)#327.86%(-0.28)#49
50.Peach Springs, AZ0.29%22.95%(-0.23)#127.86%(-0.28)#50
51.Homer, 0.29%27.31%(-0.27)#327.86%(-0.28)#51
52.Bradford, 0.30%30.21%(-0.30)#327.86%(-0.28)#52
53.Quail Ridge, 0.32%22.18%(-0.22)#427.86%(-0.28)#53
54.Hayfield, MN0.33%28.92%(-0.29)#127.86%(-0.28)#54
55.Westport, 0.34%29.25%(-0.29)#227.86%(-0.28)#55
56.Elgin Borough, 0.34%30.21%(-0.30)#427.86%(-0.28)#56
57.Fort Washington, 0.35%23.34%(-0.23)#327.86%(-0.28)#57
58.Wanaque Borough, NJ0.35%30.90%(-0.31)#127.86%(-0.28)#58
59.Galena, 0.36%33.63%(-0.33)#327.86%(-0.28)#59
60.Fairfield, 0.37%33.38%(-0.33)#227.86%(-0.27)#60
61.Yauco, 0.38%0.84%(-0.00)#327.86%(-0.27)#61
62.White Horse, 0.38%30.90%(-0.31)#227.86%(-0.27)#62
63.Osprey, 0.39%22.18%(-0.22)#527.86%(-0.27)#63
64.Aragon, 0.39%27.31%(-0.27)#427.86%(-0.27)#64
65.Lake Colorado City, 0.39%31.56%(-0.31)#527.86%(-0.27)#65
66.South Shaftsbury, VT0.39%21.42%(-0.21)#127.86%(-0.27)#66
67.Bladensburg, 0.43%23.34%(-0.23)#427.86%(-0.27)#67
68.North Wilkesboro, 0.44%25.57%(-0.25)#327.86%(-0.27)#68
69.Raleigh, 0.44%22.18%(-0.22)#627.86%(-0.27)#69
70.Ludlow, 0.44%21.42%(-0.21)#227.86%(-0.27)#70
71.Dalton, 0.44%28.92%(-0.28)#227.86%(-0.27)#71
72.Haverhill, 0.45%22.18%(-0.22)#727.86%(-0.27)#72
73.Calpella, 0.45%25.90%(-0.25)#227.86%(-0.27)#73
74.Mount Sidney, VA0.45%30.62%(-0.30)#127.86%(-0.27)#74
75.Boscobel, WI0.46%30.11%(-0.30)#127.86%(-0.27)#75
76.Erin, TN0.46%27.40%(-0.27)#127.86%(-0.27)#76
77.Kingston, MO0.47%29.25%(-0.29)#127.86%(-0.27)#77
78.Opdyke West, 0.47%31.56%(-0.31)#627.86%(-0.27)#78
79.Park Hill, OK0.48%32.41%(-0.32)#127.86%(-0.27)#79
80.Lawnside Borough, 0.48%30.90%(-0.30)#327.86%(-0.27)#80
81.Florence, 0.48%31.56%(-0.31)#727.86%(-0.27)#81
82.Pavilion, 0.48%23.75%(-0.23)#427.86%(-0.27)#82
83.Tequesta, 0.49%22.18%(-0.22)#827.86%(-0.27)#83
84.Midfield, 0.50%33.38%(-0.33)#327.86%(-0.27)#84
85.Valentine, NE0.50%31.15%(-0.31)#127.86%(-0.27)#85
86.Lind, 0.50%33.96%(-0.33)#227.86%(-0.27)#86
87.Wattsburg Borough, 0.50%30.21%(-0.30)#527.86%(-0.27)#87
88.Ripley, 0.51%27.40%(-0.27)#227.86%(-0.27)#88
89.Exeter Borough, 0.51%30.21%(-0.30)#627.86%(-0.27)#89
90.Cedar Hill, 0.51%27.40%(-0.27)#327.86%(-0.27)#90
91.Hillman, MI0.53%34.48%(-0.34)#127.86%(-0.27)#91
92.Monte Grande, 0.54%0.84%(-0.00)#427.86%(-0.27)#92
93.Saratoga, 0.55%34.74%(-0.34)#227.86%(-0.27)#93
94.East Greenbush, 0.56%23.75%(-0.23)#527.86%(-0.27)#94
95.Lake Placid, 0.56%23.75%(-0.23)#627.86%(-0.27)#95
96.Wawona, 0.56%25.90%(-0.25)#327.86%(-0.27)#96
97.Capitol Heights, 0.57%23.34%(-0.23)#527.86%(-0.27)#97
98.Hickman, 0.57%29.25%(-0.29)#327.86%(-0.27)#98
99.Ehrenberg, 0.60%22.95%(-0.22)#227.86%(-0.27)#99
100.Branson West, 0.60%29.25%(-0.29)#227.86%(-0.27)#100
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