Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Colorado

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Highest Birth Rate | Below Poverty
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 Below Poverty Level in Colorado

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Colorado Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Colorado

Zip Code Births / 1,000 Women vs State vs National
1.813311,000.050.0(+950)#153.0(+947)#17
2.80750778.050.0(+728)#253.0(+725)#70
3.81643395.050.0(+345)#353.0(+342)#266
4.80546390.050.0(+340)#453.0(+337)#271
5.80823375.050.0(+325)#553.0(+322)#291
6.81253365.050.0(+315)#653.0(+312)#312
7.80836280.050.0(+230)#753.0(+227)#523
8.80938260.050.0(+210)#853.0(+207)#609
9.80483256.050.0(+206)#953.0(+203)#630
10.80512245.050.0(+195)#1053.0(+192)#688
11.81125221.050.0(+171)#1153.0(+168)#830
12.81527221.050.0(+171)#1253.0(+168)#833
13.80930206.050.0(+156)#1353.0(+153)#915
14.80428204.050.0(+154)#1453.0(+151)#938
15.80747202.050.0(+152)#1553.0(+149)#962
16.80830200.050.0(+150)#1653.0(+147)#986
17.81071194.050.0(+144)#1753.0(+141)#1,059
18.80734164.050.0(+114)#1853.0(+111)#1,483
19.81029164.050.0(+114)#1953.0(+111)#1,490
20.80118163.050.0(+113)#2053.0(+110)#1,494
21.80744160.050.0(+110)#2153.0(+107)#1,563
22.80902158.050.0(+108)#2253.0(+105)#1,585
23.81303156.050.0(+106)#2353.0(+103)#1,627
24.81123156.050.0(+106)#2453.0(+103)#1,637
25.81641154.050.0(+104)#2553.0(+101)#1,660
26.81323151.050.0(+101)#2653.0(+98.0)#1,722
27.80834150.050.0(+100.0)#2753.0(+97.0)#1,758
28.81524147.050.0(+97.0)#2853.0(+94.0)#1,810
29.80805137.050.0(+87.0)#2953.0(+84.0)#2,104
30.80514133.050.0(+83.0)#3053.0(+80.0)#2,217
31.80543131.050.0(+81.0)#3153.0(+78.0)#2,283
32.80105131.050.0(+81.0)#3253.0(+78.0)#2,295
33.80815130.050.0(+80.0)#3353.0(+77.0)#2,335
34.81326121.050.0(+71.0)#3453.0(+68.0)#2,709
35.81649120.050.0(+70.0)#3553.0(+67.0)#2,764
36.80840118.050.0(+68.0)#3653.0(+65.0)#2,811
37.80107117.050.0(+67.0)#3753.0(+64.0)#2,872
38.81132115.050.0(+65.0)#3853.0(+62.0)#2,977
39.80007113.050.0(+63.0)#3953.0(+60.0)#3,072
40.80447112.050.0(+62.0)#4053.0(+59.0)#3,151
41.80804111.050.0(+61.0)#4153.0(+58.0)#3,230
42.80720107.050.0(+57.0)#4253.0(+54.0)#3,461
43.80645105.050.0(+55.0)#4353.0(+52.0)#3,593
44.81223105.050.0(+55.0)#4453.0(+52.0)#3,606
45.81419103.050.0(+53.0)#4553.0(+50.0)#3,740
46.81424102.050.0(+52.0)#4653.0(+49.0)#3,846
47.8150398.050.0(+48.0)#4753.0(+45.0)#4,106
48.8060398.050.0(+48.0)#4853.0(+45.0)#4,107
49.8104798.050.0(+48.0)#4953.0(+45.0)#4,145
50.8105297.050.0(+47.0)#5053.0(+44.0)#4,205
51.8103696.050.0(+46.0)#5153.0(+43.0)#4,360
52.8122195.050.0(+45.0)#5253.0(+42.0)#4,468
53.8092594.050.0(+44.0)#5353.0(+41.0)#4,492
54.8082194.050.0(+44.0)#5453.0(+41.0)#4,544
55.8013392.050.0(+42.0)#5553.0(+39.0)#4,705
56.8073392.050.0(+42.0)#5653.0(+39.0)#4,736
57.8070191.050.0(+41.0)#5753.0(+38.0)#4,760
58.8022390.050.0(+40.0)#5853.0(+37.0)#4,875
59.8114190.050.0(+40.0)#5953.0(+37.0)#4,944
60.8011087.050.0(+37.0)#6053.0(+34.0)#5,194
61.8021287.050.0(+37.0)#6153.0(+34.0)#5,199
62.8080787.050.0(+37.0)#6253.0(+34.0)#5,245
63.8105885.050.0(+35.0)#6353.0(+32.0)#5,532
64.8082485.050.0(+35.0)#6453.0(+32.0)#5,548
65.8001184.050.0(+34.0)#6553.0(+31.0)#5,560
66.8092084.050.0(+34.0)#6653.0(+31.0)#5,564
67.8051384.050.0(+34.0)#6753.0(+31.0)#5,586
68.8080884.050.0(+34.0)#6853.0(+31.0)#5,616
69.8074384.050.0(+34.0)#6953.0(+31.0)#5,669
70.8113084.050.0(+34.0)#7053.0(+31.0)#5,678
71.8065183.050.0(+33.0)#7153.0(+30.0)#5,747
72.8106483.050.0(+33.0)#7253.0(+30.0)#5,811
73.8092482.050.0(+32.0)#7353.0(+29.0)#5,860
74.8072382.050.0(+32.0)#7453.0(+29.0)#5,890
75.8042282.050.0(+32.0)#7553.0(+29.0)#5,903
76.8142882.050.0(+32.0)#7653.0(+29.0)#5,910
77.8141381.050.0(+31.0)#7753.0(+28.0)#6,046
78.8112081.050.0(+31.0)#7853.0(+28.0)#6,090
79.8102581.050.0(+31.0)#7953.0(+28.0)#6,115
80.8065281.050.0(+31.0)#8053.0(+28.0)#6,130
81.8051780.050.0(+30.0)#8153.0(+27.0)#6,188
82.8045780.050.0(+30.0)#8253.0(+27.0)#6,268
83.8026079.050.0(+29.0)#8353.0(+26.0)#6,297
84.8054979.050.0(+29.0)#8453.0(+26.0)#6,348
85.8115479.050.0(+29.0)#8553.0(+26.0)#6,420
86.8001278.050.0(+28.0)#8653.0(+25.0)#6,454
87.8101978.050.0(+28.0)#8753.0(+25.0)#6,572
88.8121277.050.0(+27.0)#8853.0(+24.0)#6,621
89.8013277.050.0(+27.0)#8953.0(+24.0)#6,624
90.8113377.050.0(+27.0)#9053.0(+24.0)#6,745
91.8054776.050.0(+26.0)#9153.0(+23.0)#6,872
92.8106776.050.0(+26.0)#9253.0(+23.0)#6,878
93.8064376.050.0(+26.0)#9353.0(+23.0)#6,889
94.8052076.050.0(+26.0)#9453.0(+23.0)#6,929
95.8107776.050.0(+26.0)#9553.0(+23.0)#6,944
96.8046876.050.0(+26.0)#9653.0(+23.0)#6,953
97.8023574.050.0(+24.0)#9753.0(+21.0)#7,226
98.8043574.050.0(+24.0)#9853.0(+21.0)#7,229
99.8164874.050.0(+24.0)#9953.0(+21.0)#7,267
100.8091673.050.0(+23.0)#10053.0(+20.0)#7,347

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Colorado?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Colorado are:
#1
1,000.0
#2
778.0
#3
395.0
#4
390.0
#5
375.0
#6
365.0
#7
280.0
#8
260.0
#9
256.0
#10
245.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Colorado?
81331 has the Most Births per 1,000 Women Below Poverty Level in Colorado with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Colorado?
Number of Births per 1,000 Women Below Poverty Level in Colorado is 50.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.