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

RELATED REPORTS & OPTIONS

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
Iowa
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Iowa

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 50102 1,000.0 59.0 (+941)#1 53.0 (+947)#33
2. 50454 1,000.0 59.0 (+941)#2 53.0 (+947)#44
3. 50860 706.0 59.0 (+647)#3 53.0 (+653)#87
4. 51460 667.0 59.0 (+608)#4 53.0 (+614)#105
5. 50544 631.0 59.0 (+572)#5 53.0 (+578)#116
6. 52631 625.0 59.0 (+566)#6 53.0 (+572)#121
7. 50031 583.0 59.0 (+524)#7 53.0 (+530)#135
8. 50857 571.0 59.0 (+512)#8 53.0 (+518)#137
9. 50274 500.0 59.0 (+441)#9 53.0 (+447)#172
10. 50110 500.0 59.0 (+441)#10 53.0 (+447)#179
11. 50591 492.0 59.0 (+433)#11 53.0 (+439)#182
12. 50862 444.0 59.0 (+385)#12 53.0 (+391)#220
13. 52074 420.0 59.0 (+361)#13 53.0 (+367)#236
14. 52146 397.0 59.0 (+338)#14 53.0 (+344)#265
15. 50477 393.0 59.0 (+334)#15 53.0 (+340)#269
16. 50078 385.0 59.0 (+326)#16 53.0 (+332)#280
17. 52254 380.0 59.0 (+321)#17 53.0 (+327)#284
18. 51027 365.0 59.0 (+306)#18 53.0 (+312)#310
19. 51231 362.0 59.0 (+303)#19 53.0 (+309)#320
20. 52134 361.0 59.0 (+302)#20 53.0 (+308)#325
21. 52215 354.0 59.0 (+295)#21 53.0 (+301)#336
22. 52348 333.0 59.0 (+274)#22 53.0 (+280)#382
23. 52132 316.0 59.0 (+257)#23 53.0 (+263)#406
24. 51037 314.0 59.0 (+255)#24 53.0 (+261)#416
25. 51430 308.0 59.0 (+249)#25 53.0 (+255)#427
26. 52077 308.0 59.0 (+249)#26 53.0 (+255)#432
27. 50039 304.0 59.0 (+245)#27 53.0 (+251)#441
28. 50520 300.0 59.0 (+241)#28 53.0 (+247)#456
29. 50052 300.0 59.0 (+241)#29 53.0 (+247)#458
30. 51459 294.0 59.0 (+235)#30 53.0 (+241)#475
31. 52650 288.0 59.0 (+229)#31 53.0 (+235)#491
32. 51564 287.0 59.0 (+228)#32 53.0 (+234)#494
33. 52652 280.0 59.0 (+221)#33 53.0 (+227)#526
34. 50570 278.0 59.0 (+219)#34 53.0 (+225)#536
35. 52164 270.0 59.0 (+211)#35 53.0 (+217)#564
36. 50455 268.0 59.0 (+209)#36 53.0 (+215)#571
37. 51536 266.0 59.0 (+207)#37 53.0 (+213)#583
38. 51366 263.0 59.0 (+204)#38 53.0 (+210)#596
39. 52590 260.0 59.0 (+201)#39 53.0 (+207)#608
40. 51446 259.0 59.0 (+200)#40 53.0 (+206)#613
41. 50213 255.0 59.0 (+196)#41 53.0 (+202)#633
42. 50606 253.0 59.0 (+194)#42 53.0 (+200)#638
43. 51654 253.0 59.0 (+194)#43 53.0 (+200)#640
44. 51656 250.0 59.0 (+191)#44 53.0 (+197)#670
45. 50075 247.0 59.0 (+188)#45 53.0 (+194)#680
46. 51572 247.0 59.0 (+188)#46 53.0 (+194)#681
47. 52543 240.0 59.0 (+181)#47 53.0 (+187)#715
48. 50861 237.0 59.0 (+178)#48 53.0 (+184)#735
49. 50473 222.0 59.0 (+163)#49 53.0 (+169)#823
50. 50104 222.0 59.0 (+163)#50 53.0 (+169)#825
51. 52066 222.0 59.0 (+163)#51 53.0 (+169)#826
52. 52550 213.0 59.0 (+154)#52 53.0 (+160)#865
53. 50602 208.0 59.0 (+149)#53 53.0 (+155)#900
54. 50546 208.0 59.0 (+149)#54 53.0 (+155)#904
55. 52573 207.0 59.0 (+148)#55 53.0 (+154)#914
56. 50136 205.0 59.0 (+146)#56 53.0 (+152)#926
57. 50560 204.0 59.0 (+145)#57 53.0 (+151)#936
58. 51466 201.0 59.0 (+142)#58 53.0 (+148)#968
59. 50452 201.0 59.0 (+142)#59 53.0 (+148)#969
60. 50675 200.0 59.0 (+141)#60 53.0 (+147)#975
61. 50628 194.0 59.0 (+135)#61 53.0 (+141)#1,049
62. 52219 194.0 59.0 (+135)#62 53.0 (+141)#1,061
63. 51532 192.0 59.0 (+133)#63 53.0 (+139)#1,073
64. 51009 188.0 59.0 (+129)#64 53.0 (+135)#1,127
65. 51237 187.0 59.0 (+128)#65 53.0 (+134)#1,134
66. 50040 185.0 59.0 (+126)#66 53.0 (+132)#1,170
67. 50025 173.0 59.0 (+114)#67 53.0 (+120)#1,314
68. 51561 172.0 59.0 (+113)#68 53.0 (+119)#1,333
69. 52335 172.0 59.0 (+113)#69 53.0 (+119)#1,336
70. 50594 172.0 59.0 (+113)#70 53.0 (+119)#1,344
71. 50611 171.0 59.0 (+112)#71 53.0 (+118)#1,360
72. 51012 168.0 59.0 (+109)#72 53.0 (+115)#1,395
73. 50634 168.0 59.0 (+109)#73 53.0 (+115)#1,411
74. 51022 167.0 59.0 (+108)#74 53.0 (+114)#1,424
75. 52632 164.0 59.0 (+105)#75 53.0 (+111)#1,479
76. 50220 164.0 59.0 (+105)#76 53.0 (+111)#1,480
77. 50568 164.0 59.0 (+105)#77 53.0 (+111)#1,485
78. 50167 164.0 59.0 (+105)#78 53.0 (+111)#1,487
79. 50647 162.0 59.0 (+103)#79 53.0 (+109)#1,518
80. 50653 162.0 59.0 (+103)#80 53.0 (+109)#1,527
81. 51250 161.0 59.0 (+102)#81 53.0 (+108)#1,530
82. 52209 159.0 59.0 (+100.0)#82 53.0 (+106)#1,577
83. 52142 158.0 59.0 (+99.0)#83 53.0 (+105)#1,594
84. 50153 158.0 59.0 (+99.0)#84 53.0 (+105)#1,601
85. 51240 152.0 59.0 (+93.0)#85 53.0 (+99.0)#1,705
86. 52347 152.0 59.0 (+93.0)#86 53.0 (+99.0)#1,707
87. 52566 152.0 59.0 (+93.0)#87 53.0 (+99.0)#1,717
88. 51248 150.0 59.0 (+91.0)#88 53.0 (+97.0)#1,746
89. 52530 149.0 59.0 (+90.0)#89 53.0 (+96.0)#1,777
90. 50476 148.0 59.0 (+89.0)#90 53.0 (+95.0)#1,799
91. 51003 147.0 59.0 (+88.0)#91 53.0 (+94.0)#1,814
92. 52161 147.0 59.0 (+88.0)#92 53.0 (+94.0)#1,816
93. 50164 147.0 59.0 (+88.0)#93 53.0 (+94.0)#1,820
94. 50038 147.0 59.0 (+88.0)#94 53.0 (+94.0)#1,826
95. 52056 147.0 59.0 (+88.0)#95 53.0 (+94.0)#1,828
96. 50563 146.0 59.0 (+87.0)#96 53.0 (+93.0)#1,834
97. 50630 146.0 59.0 (+87.0)#97 53.0 (+93.0)#1,836
98. 50174 145.0 59.0 (+86.0)#98 53.0 (+92.0)#1,863
99. 50528 145.0 59.0 (+86.0)#99 53.0 (+92.0)#1,876
100. 50841 144.0 59.0 (+85.0)#100 53.0 (+91.0)#1,885

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Iowa?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Iowa are:
#1
1,000.0
#2
1,000.0
#3
706.0
#4
667.0
#5
631.0
#6
625.0
#7
583.0
#8
571.0
#9
500.0
#10
500.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Iowa?
50102 has the Most Births per 1,000 Women Below Poverty Level in Iowa with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Iowa?
Number of Births per 1,000 Women Below Poverty Level in Iowa is 59.0.
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.