Zip Codes with the Most Births per 1,000 Women in Labor Force in Colorado

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Highest Birth Rate | In Labor Force
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
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
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Colorado
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women in Labor Force in Colorado

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Colorado Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in Colorado

Zip Code Births / 1,000 Women vs State vs National
1.813311,000.042.0(+958)#148.0(+952)#16
2.80750778.042.0(+736)#248.0(+730)#64
3.81643455.042.0(+413)#348.0(+407)#215
4.81253392.042.0(+350)#448.0(+344)#271
5.80546390.042.0(+348)#548.0(+342)#274
6.80830375.042.0(+333)#648.0(+327)#300
7.81527344.042.0(+302)#748.0(+296)#358
8.81029333.042.0(+291)#848.0(+285)#382
9.80428319.042.0(+277)#948.0(+271)#420
10.80483313.042.0(+271)#1048.0(+265)#434
11.80938276.042.0(+234)#1148.0(+228)#549
12.81071231.042.0(+189)#1248.0(+183)#760
13.80805219.042.0(+177)#1348.0(+171)#844
14.80836212.042.0(+170)#1448.0(+164)#897
15.80118199.042.0(+157)#1548.0(+151)#1,017
16.80105177.042.0(+135)#1648.0(+129)#1,232
17.81524159.042.0(+117)#1748.0(+111)#1,513
18.80834158.042.0(+116)#1848.0(+110)#1,546
19.80823158.042.0(+116)#1948.0(+110)#1,549
20.80734155.042.0(+113)#2048.0(+107)#1,592
21.80804150.042.0(+108)#2148.0(+102)#1,687
22.81649149.042.0(+107)#2248.0(+101)#1,709
23.81323147.042.0(+105)#2348.0(+99.0)#1,737
24.80512139.042.0(+97.0)#2448.0(+91.0)#1,938
25.81077136.042.0(+94.0)#2548.0(+88.0)#2,026
26.80821130.042.0(+88.0)#2648.0(+82.0)#2,184
27.81019127.042.0(+85.0)#2748.0(+79.0)#2,283
28.81062125.042.0(+83.0)#2848.0(+77.0)#2,350
29.80543124.042.0(+82.0)#2948.0(+76.0)#2,384
30.81064122.042.0(+80.0)#3048.0(+74.0)#2,470
31.80137118.042.0(+76.0)#3148.0(+70.0)#2,600
32.80824118.042.0(+76.0)#3248.0(+70.0)#2,618
33.80747110.042.0(+68.0)#3348.0(+62.0)#2,984
34.81641109.042.0(+67.0)#3448.0(+61.0)#3,013
35.80133108.042.0(+66.0)#3548.0(+60.0)#3,067
36.81130108.042.0(+66.0)#3648.0(+60.0)#3,085
37.81428107.042.0(+65.0)#3748.0(+59.0)#3,112
38.81143106.042.0(+64.0)#3848.0(+58.0)#3,173
39.81058103.042.0(+61.0)#3948.0(+55.0)#3,351
40.80422102.042.0(+60.0)#4048.0(+54.0)#3,390
41.8112599.042.0(+57.0)#4148.0(+51.0)#3,584
42.8142499.042.0(+57.0)#4248.0(+51.0)#3,605
43.8073797.042.0(+55.0)#4348.0(+49.0)#3,734
44.8104797.042.0(+55.0)#4448.0(+49.0)#3,736
45.8021295.042.0(+53.0)#4548.0(+47.0)#3,835
46.8108993.042.0(+51.0)#4648.0(+45.0)#3,987
47.8115192.042.0(+50.0)#4748.0(+44.0)#4,080
48.8122192.042.0(+50.0)#4848.0(+44.0)#4,100
49.8092091.042.0(+49.0)#4948.0(+43.0)#4,105
50.8105290.042.0(+48.0)#5048.0(+42.0)#4,231
51.8080787.042.0(+45.0)#5148.0(+39.0)#4,542
52.8081487.042.0(+45.0)#5248.0(+39.0)#4,545
53.8165487.042.0(+45.0)#5348.0(+39.0)#4,565
54.8103687.042.0(+45.0)#5448.0(+39.0)#4,573
55.8162086.042.0(+44.0)#5548.0(+38.0)#4,614
56.8092483.042.0(+41.0)#5648.0(+35.0)#4,913
57.8010783.042.0(+41.0)#5748.0(+35.0)#4,915
58.8130382.042.0(+40.0)#5848.0(+34.0)#5,049
59.8064382.042.0(+40.0)#5948.0(+34.0)#5,071
60.8064482.042.0(+40.0)#6048.0(+34.0)#5,086
61.8115481.042.0(+39.0)#6148.0(+33.0)#5,219
62.8065281.042.0(+39.0)#6248.0(+33.0)#5,239
63.8045780.042.0(+38.0)#6348.0(+32.0)#5,349
64.8150379.042.0(+37.0)#6448.0(+31.0)#5,388
65.8132179.042.0(+37.0)#6548.0(+31.0)#5,393
66.8054279.042.0(+37.0)#6648.0(+31.0)#5,416
67.8112379.042.0(+37.0)#6748.0(+31.0)#5,463
68.8074979.042.0(+37.0)#6848.0(+31.0)#5,467
69.8051377.042.0(+35.0)#6948.0(+29.0)#5,634
70.8054777.042.0(+35.0)#7048.0(+29.0)#5,667
71.8020776.042.0(+34.0)#7148.0(+28.0)#5,781
72.8051776.042.0(+34.0)#7248.0(+28.0)#5,803
73.8061176.042.0(+34.0)#7348.0(+28.0)#5,870
74.8001175.042.0(+33.0)#7448.0(+27.0)#5,882
75.8013273.042.0(+31.0)#7548.0(+25.0)#6,183
76.8060373.042.0(+31.0)#7648.0(+25.0)#6,208
77.8074373.042.0(+31.0)#7748.0(+25.0)#6,284
78.8048273.042.0(+31.0)#7848.0(+25.0)#6,285
79.8002771.042.0(+29.0)#7948.0(+23.0)#6,502
80.8000771.042.0(+29.0)#8048.0(+23.0)#6,534
81.8132671.042.0(+29.0)#8148.0(+23.0)#6,595
82.8082271.042.0(+29.0)#8248.0(+23.0)#6,643
83.8086171.042.0(+29.0)#8348.0(+23.0)#6,645
84.8070170.042.0(+28.0)#8448.0(+22.0)#6,709
85.8141370.042.0(+28.0)#8548.0(+22.0)#6,746
86.8001269.042.0(+27.0)#8648.0(+21.0)#6,823
87.8090269.042.0(+27.0)#8748.0(+21.0)#6,902
88.8064269.042.0(+27.0)#8848.0(+21.0)#6,936
89.8001568.042.0(+26.0)#8948.0(+20.0)#7,019
90.8010868.042.0(+26.0)#9048.0(+20.0)#7,053
91.8002668.042.0(+26.0)#9148.0(+20.0)#7,057
92.8162568.042.0(+26.0)#9248.0(+20.0)#7,107
93.8001968.042.0(+26.0)#9348.0(+20.0)#7,147
94.8052867.042.0(+25.0)#9448.0(+19.0)#7,264
95.8011767.042.0(+25.0)#9548.0(+19.0)#7,366
96.8121265.042.0(+23.0)#9648.0(+17.0)#7,626
97.8063464.042.0(+22.0)#9748.0(+16.0)#7,821
98.8064864.042.0(+22.0)#9848.0(+16.0)#7,985
99.8002263.042.0(+21.0)#9948.0(+15.0)#8,007
100.8053463.042.0(+21.0)#10048.0(+15.0)#8,080

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Colorado?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Colorado are:
#1
1,000.0
#2
778.0
#3
455.0
#4
392.0
#5
390.0
#6
375.0
#7
344.0
#8
333.0
#9
319.0
#10
313.0
What zip code has the Most Births per 1,000 Women in Labor Force in Colorado?
81331 has the Most Births per 1,000 Women in Labor Force in Colorado with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Colorado?
Number of Births per 1,000 Women in Labor Force in Colorado is 42.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.