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

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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
Oregon
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 97877 1,000.0 47.0 (+953)#1 53.0 (+947)#11
2. 97125 533.0 47.0 (+486)#2 53.0 (+480)#154
3. 97453 406.0 47.0 (+359)#3 53.0 (+353)#256
4. 97145 350.0 47.0 (+303)#4 53.0 (+297)#341
5. 97884 333.0 47.0 (+286)#5 53.0 (+280)#379
6. 97368 325.0 47.0 (+278)#6 53.0 (+272)#395
7. 97636 286.0 47.0 (+239)#7 53.0 (+233)#500
8. 97874 271.0 47.0 (+224)#8 53.0 (+218)#560
9. 97019 244.0 47.0 (+197)#9 53.0 (+191)#694
10. 97347 243.0 47.0 (+196)#10 53.0 (+190)#698
11. 97495 215.0 47.0 (+168)#11 53.0 (+162)#859
12. 97118 202.0 47.0 (+155)#12 53.0 (+149)#959
13. 97148 197.0 47.0 (+150)#13 53.0 (+144)#1,013
14. 97873 188.0 47.0 (+141)#14 53.0 (+135)#1,126
15. 97451 180.0 47.0 (+133)#15 53.0 (+127)#1,215
16. 97750 180.0 47.0 (+133)#16 53.0 (+127)#1,218
17. 97833 179.0 47.0 (+132)#17 53.0 (+126)#1,232
18. 97450 176.0 47.0 (+129)#18 53.0 (+123)#1,269
19. 97114 173.0 47.0 (+126)#19 53.0 (+120)#1,313
20. 97050 167.0 47.0 (+120)#20 53.0 (+114)#1,447
21. 97146 166.0 47.0 (+119)#21 53.0 (+113)#1,458
22. 97875 165.0 47.0 (+118)#22 53.0 (+112)#1,469
23. 97447 163.0 47.0 (+116)#23 53.0 (+110)#1,505
24. 97538 160.0 47.0 (+113)#24 53.0 (+107)#1,551
25. 97867 154.0 47.0 (+107)#25 53.0 (+101)#1,663
26. 97108 153.0 47.0 (+106)#26 53.0 (+100.0)#1,688
27. 97857 153.0 47.0 (+106)#27 53.0 (+100.0)#1,692
28. 97544 151.0 47.0 (+104)#28 53.0 (+98.0)#1,728
29. 97753 149.0 47.0 (+102)#29 53.0 (+96.0)#1,766
30. 97738 149.0 47.0 (+102)#30 53.0 (+96.0)#1,769
31. 97869 149.0 47.0 (+102)#31 53.0 (+96.0)#1,776
32. 97454 146.0 47.0 (+99.0)#32 53.0 (+93.0)#1,840
33. 97412 144.0 47.0 (+97.0)#33 53.0 (+91.0)#1,900
34. 97415 140.0 47.0 (+93.0)#34 53.0 (+87.0)#1,983
35. 97449 133.0 47.0 (+86.0)#35 53.0 (+80.0)#2,229
36. 97541 133.0 47.0 (+86.0)#36 53.0 (+80.0)#2,233
37. 97039 133.0 47.0 (+86.0)#37 53.0 (+80.0)#2,242
38. 97452 128.0 47.0 (+81.0)#38 53.0 (+75.0)#2,404
39. 97739 127.0 47.0 (+80.0)#39 53.0 (+74.0)#2,433
40. 97446 126.0 47.0 (+79.0)#40 53.0 (+73.0)#2,479
41. 97022 126.0 47.0 (+79.0)#41 53.0 (+73.0)#2,487
42. 97378 123.0 47.0 (+76.0)#42 53.0 (+70.0)#2,603
43. 97523 122.0 47.0 (+75.0)#43 53.0 (+69.0)#2,653
44. 97109 122.0 47.0 (+75.0)#44 53.0 (+69.0)#2,682
45. 97856 122.0 47.0 (+75.0)#45 53.0 (+69.0)#2,683
46. 97364 118.0 47.0 (+71.0)#46 53.0 (+65.0)#2,852
47. 97040 117.0 47.0 (+70.0)#47 53.0 (+64.0)#2,894
48. 97326 115.0 47.0 (+68.0)#48 53.0 (+62.0)#3,001
49. 97341 114.0 47.0 (+67.0)#49 53.0 (+61.0)#3,038
50. 97385 108.0 47.0 (+61.0)#50 53.0 (+55.0)#3,395
51. 97442 108.0 47.0 (+61.0)#51 53.0 (+55.0)#3,402
52. 97846 107.0 47.0 (+60.0)#52 53.0 (+54.0)#3,466
53. 97141 104.0 47.0 (+57.0)#53 53.0 (+51.0)#3,645
54. 97539 102.0 47.0 (+55.0)#54 53.0 (+49.0)#3,821
55. 97383 99.0 47.0 (+52.0)#55 53.0 (+46.0)#4,036
56. 97499 99.0 47.0 (+52.0)#56 53.0 (+46.0)#4,072
57. 97343 97.0 47.0 (+50.0)#57 53.0 (+44.0)#4,269
58. 97426 96.0 47.0 (+49.0)#58 53.0 (+43.0)#4,305
59. 97381 95.0 47.0 (+48.0)#59 53.0 (+42.0)#4,384
60. 97641 95.0 47.0 (+48.0)#60 53.0 (+42.0)#4,449
61. 97907 94.0 47.0 (+47.0)#61 53.0 (+41.0)#4,548
62. 97634 94.0 47.0 (+47.0)#62 53.0 (+41.0)#4,557
63. 97015 93.0 47.0 (+46.0)#63 53.0 (+40.0)#4,571
64. 97063 93.0 47.0 (+46.0)#64 53.0 (+40.0)#4,635
65. 97419 93.0 47.0 (+46.0)#65 53.0 (+40.0)#4,638
66. 97067 92.0 47.0 (+45.0)#66 53.0 (+39.0)#4,713
67. 97436 92.0 47.0 (+45.0)#67 53.0 (+39.0)#4,731
68. 97317 90.0 47.0 (+43.0)#68 53.0 (+37.0)#4,862
69. 97055 88.0 47.0 (+41.0)#69 53.0 (+35.0)#5,072
70. 97463 88.0 47.0 (+41.0)#70 53.0 (+35.0)#5,107
71. 97904 88.0 47.0 (+41.0)#71 53.0 (+35.0)#5,174
72. 97818 85.0 47.0 (+38.0)#72 53.0 (+32.0)#5,481
73. 97367 84.0 47.0 (+37.0)#73 53.0 (+31.0)#5,601
74. 97049 82.0 47.0 (+35.0)#74 53.0 (+29.0)#5,927
75. 97035 81.0 47.0 (+34.0)#75 53.0 (+28.0)#6,001
76. 97005 80.0 47.0 (+33.0)#76 53.0 (+27.0)#6,159
77. 97801 80.0 47.0 (+33.0)#77 53.0 (+27.0)#6,168
78. 97002 79.0 47.0 (+32.0)#78 53.0 (+26.0)#6,369
79. 97913 79.0 47.0 (+32.0)#79 53.0 (+26.0)#6,373
80. 97759 77.0 47.0 (+30.0)#80 53.0 (+24.0)#6,674
81. 97914 75.0 47.0 (+28.0)#81 53.0 (+22.0)#6,993
82. 97004 75.0 47.0 (+28.0)#82 53.0 (+22.0)#7,060
83. 97504 73.0 47.0 (+26.0)#83 53.0 (+20.0)#7,338
84. 97131 73.0 47.0 (+26.0)#84 53.0 (+20.0)#7,488
85. 97820 73.0 47.0 (+26.0)#85 53.0 (+20.0)#7,526
86. 97503 72.0 47.0 (+25.0)#86 53.0 (+19.0)#7,641
87. 97444 72.0 47.0 (+25.0)#87 53.0 (+19.0)#7,674
88. 97424 71.0 47.0 (+24.0)#88 53.0 (+18.0)#7,827
89. 97501 70.0 47.0 (+23.0)#89 53.0 (+17.0)#7,991
90. 97128 70.0 47.0 (+23.0)#90 53.0 (+17.0)#7,995
91. 97459 70.0 47.0 (+23.0)#91 53.0 (+17.0)#8,044
92. 97437 69.0 47.0 (+22.0)#92 53.0 (+16.0)#8,338
93. 97443 68.0 47.0 (+21.0)#93 53.0 (+15.0)#8,540
94. 97434 68.0 47.0 (+21.0)#94 53.0 (+15.0)#8,592
95. 97374 67.0 47.0 (+20.0)#95 53.0 (+14.0)#8,753
96. 97633 67.0 47.0 (+20.0)#96 53.0 (+14.0)#8,790
97. 97736 67.0 47.0 (+20.0)#97 53.0 (+14.0)#8,848
98. 97338 66.0 47.0 (+19.0)#98 53.0 (+13.0)#8,934
99. 97601 66.0 47.0 (+19.0)#99 53.0 (+13.0)#8,937
100. 97886 66.0 47.0 (+19.0)#100 53.0 (+13.0)#9,104

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Oregon?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Oregon are:
#1
1,000.0
#2
533.0
#3
406.0
#4
350.0
#5
333.0
#6
325.0
#7
286.0
#8
271.0
#9
244.0
#10
243.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Oregon?
97877 has the Most Births per 1,000 Women Below Poverty Level in Oregon with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Oregon?
Number of Births per 1,000 Women Below Poverty Level in Oregon is 47.0.
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.