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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

Zip Codes with the Highest Percentage of French Canadian Population in Colorado

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Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of French Canadian Population in Colorado?
Top 10 Zip Codes with the Highest Percentage of French Canadian Population in Colorado are:
#1
(100.00%)
#2
81138,
(8.89%)
#3
80131,
(4.23%)
#4
81649,
(4.06%)
#5
80733,
(4.03%)
#6
80815,
(3.32%)
#7
80133,
(2.91%)
#8
81057,
(2.81%)
#9
80545,
(2.67%)
#10
80816,
(2.37%)
What is the Perentage of French Canadian Population in the State of Colorado?
Perentage of French Canadian Population in Colorado is 0.50%.
What is the Perentage of French Canadian Population in the United States?
Perentage of French Canadian Population in the United States is 0.64%.

Percentage of French Canadian Population by Zip Code in Colorado

Zip CodeFrench Canadianvs. Statevs. National
1.81642, Colorado100.00%0.50%(+99.50)#10.64%(+99.36)#1
2.81138, 8.89%0.50%(+8.39)#20.64%(+8.25)#497
3.80131, 4.23%0.50%(+3.73)#30.64%(+3.59)#1,514
4.81649, 4.06%0.50%(+3.56)#40.64%(+3.42)#1,591
5.80733, 4.03%0.50%(+3.53)#50.64%(+3.39)#1,605
6.80815, 3.32%0.50%(+2.82)#60.64%(+2.68)#1,943
7.80133, 2.91%0.50%(+2.42)#70.64%(+2.28)#2,173
8.81057, 2.81%0.50%(+2.31)#80.64%(+2.17)#2,249
9.80545, 2.67%0.50%(+2.17)#90.64%(+2.03)#2,349
10.80816, 2.37%0.50%(+1.87)#100.64%(+1.73)#2,606
11.80420, 2.37%0.50%(+1.87)#110.64%(+1.73)#2,607
12.80813, 2.34%0.50%(+1.84)#120.64%(+1.70)#2,643
13.80864, 2.22%0.50%(+1.72)#130.64%(+1.58)#2,767
14.81423, 2.15%0.50%(+1.65)#140.64%(+1.52)#2,837
15.80820, 2.04%0.50%(+1.54)#150.64%(+1.40)#2,967
16.80914, 1.98%0.50%(+1.48)#160.64%(+1.34)#3,049
17.81657, 1.95%0.50%(+1.45)#170.64%(+1.31)#3,093
18.80540, 1.73%0.50%(+1.23)#180.64%(+1.09)#3,423
19.80623, 1.71%0.50%(+1.21)#190.64%(+1.07)#3,455
20.81303, 1.64%0.50%(+1.14)#200.64%(+1.00)#3,583
21.80106, 1.62%0.50%(+1.13)#210.64%(+0.99)#3,619
22.81621, 1.61%0.50%(+1.11)#220.64%(+0.97)#3,646
23.80452, 1.49%0.50%(+0.99)#230.64%(+0.85)#3,876
24.81211, 1.46%0.50%(+0.96)#240.64%(+0.82)#3,930
25.81130, 1.43%0.50%(+0.93)#250.64%(+0.79)#4,011
26.80440, 1.42%0.50%(+0.92)#260.64%(+0.78)#4,046
27.80461, 1.36%0.50%(+0.86)#270.64%(+0.72)#4,192
28.80951, 1.35%0.50%(+0.85)#280.64%(+0.71)#4,221
29.81223, 1.29%0.50%(+0.79)#290.64%(+0.65)#4,401
30.80425, 1.27%0.50%(+0.77)#300.64%(+0.63)#4,440
31.80305, 1.27%0.50%(+0.77)#310.64%(+0.63)#4,461
32.80528, 1.25%0.50%(+0.75)#320.64%(+0.62)#4,496
33.81630, 1.23%0.50%(+0.73)#330.64%(+0.59)#4,572
34.80130, 1.22%0.50%(+0.72)#340.64%(+0.58)#4,622
35.80026, 1.20%0.50%(+0.71)#350.64%(+0.57)#4,660
36.80908, 1.20%0.50%(+0.70)#360.64%(+0.56)#4,671
37.80863, 1.16%0.50%(+0.66)#370.64%(+0.52)#4,801
38.80513, 1.12%0.50%(+0.62)#380.64%(+0.48)#4,899
39.80829, 1.06%0.50%(+0.56)#390.64%(+0.42)#5,127
40.80924, 1.06%0.50%(+0.56)#400.64%(+0.42)#5,149
41.80903, 1.03%0.50%(+0.53)#410.64%(+0.40)#5,230
42.80121, 1.02%0.50%(+0.52)#420.64%(+0.38)#5,297
43.80827, 1.01%0.50%(+0.51)#430.64%(+0.37)#5,365
44.81526, 0.99%0.50%(+0.49)#440.64%(+0.35)#5,415
45.80137, 0.99%0.50%(+0.49)#450.64%(+0.35)#5,416
46.80303, 0.99%0.50%(+0.49)#460.64%(+0.35)#5,437
47.81082, 0.99%0.50%(+0.49)#470.64%(+0.35)#5,451
48.80033, 0.98%0.50%(+0.48)#480.64%(+0.34)#5,465
49.80918, 0.98%0.50%(+0.48)#490.64%(+0.34)#5,493
50.80465, 0.98%0.50%(+0.48)#500.64%(+0.34)#5,495
51.81224, 0.97%0.50%(+0.47)#510.64%(+0.33)#5,545
52.80433, 0.96%0.50%(+0.47)#520.64%(+0.33)#5,554
53.81432, 0.94%0.50%(+0.44)#530.64%(+0.30)#5,670
54.81520, 0.94%0.50%(+0.44)#540.64%(+0.30)#5,686
55.80470, 0.93%0.50%(+0.44)#550.64%(+0.30)#5,699
56.80020, 0.93%0.50%(+0.43)#560.64%(+0.29)#5,738
57.81022, 0.92%0.50%(+0.42)#570.64%(+0.28)#5,772
58.80917, 0.92%0.50%(+0.42)#580.64%(+0.28)#5,802
59.80124, 0.91%0.50%(+0.41)#590.64%(+0.27)#5,829
60.80304, 0.91%0.50%(+0.41)#600.64%(+0.27)#5,836
61.80920, 0.90%0.50%(+0.40)#610.64%(+0.26)#5,886
62.80549, 0.90%0.50%(+0.40)#620.64%(+0.26)#5,892
63.81073, 0.88%0.50%(+0.38)#630.64%(+0.24)#5,996
64.81635, 0.88%0.50%(+0.38)#640.64%(+0.24)#6,014
65.80833, 0.87%0.50%(+0.38)#650.64%(+0.24)#6,026
66.80209, 0.86%0.50%(+0.36)#660.64%(+0.22)#6,094
67.80504, 0.86%0.50%(+0.36)#670.64%(+0.22)#6,104
68.80817, 0.84%0.50%(+0.34)#680.64%(+0.20)#6,231
69.80218, 0.84%0.50%(+0.34)#690.64%(+0.20)#6,253
70.80005, 0.82%0.50%(+0.33)#700.64%(+0.19)#6,314
71.80007, 0.82%0.50%(+0.32)#710.64%(+0.18)#6,349
72.81131, 0.82%0.50%(+0.32)#720.64%(+0.18)#6,354
73.80027, 0.81%0.50%(+0.31)#730.64%(+0.17)#6,422
74.81230, 0.80%0.50%(+0.30)#740.64%(+0.16)#6,497
75.81069, 0.79%0.50%(+0.30)#750.64%(+0.16)#6,512
76.80237, 0.79%0.50%(+0.29)#760.64%(+0.15)#6,534
77.80443, 0.78%0.50%(+0.28)#770.64%(+0.14)#6,603
78.81639, 0.78%0.50%(+0.28)#780.64%(+0.14)#6,612
79.80241, 0.77%0.50%(+0.27)#790.64%(+0.13)#6,683
80.80828, 0.75%0.50%(+0.25)#800.64%(+0.11)#6,803
81.81328, 0.75%0.50%(+0.25)#810.64%(+0.11)#6,807
82.80246, 0.74%0.50%(+0.24)#820.64%(+0.11)#6,833
83.81631, 0.74%0.50%(+0.24)#830.64%(+0.10)#6,853
84.80210, 0.74%0.50%(+0.24)#840.64%(+0.10)#6,864
85.81201, 0.73%0.50%(+0.23)#850.64%(+0.09)#6,895
86.80744, 0.73%0.50%(+0.23)#860.64%(+0.09)#6,905
87.80602, 0.72%0.50%(+0.22)#870.64%(+0.08)#6,984
88.80835, 0.72%0.50%(+0.22)#880.64%(+0.08)#6,995
89.81226, 0.72%0.50%(+0.22)#890.64%(+0.08)#6,998
90.80013, 0.72%0.50%(+0.22)#900.64%(+0.08)#7,014
91.80117, 0.72%0.50%(+0.22)#910.64%(+0.08)#7,043
92.80112, 0.71%0.50%(+0.21)#920.64%(+0.07)#7,067
93.80129, 0.71%0.50%(+0.21)#930.64%(+0.07)#7,071
94.81007, 0.71%0.50%(+0.21)#940.64%(+0.07)#7,129
95.80238, 0.70%0.50%(+0.20)#950.64%(+0.06)#7,198
96.81233, 0.70%0.50%(+0.20)#960.64%(+0.06)#7,210
97.80910, 0.70%0.50%(+0.20)#970.64%(+0.06)#7,212
98.80122, 0.69%0.50%(+0.19)#980.64%(+0.05)#7,248
99.80128, 0.69%0.50%(+0.19)#990.64%(+0.05)#7,260
100.81225, 0.69%0.50%(+0.19)#1000.64%(+0.05)#7,265
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