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

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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
Oregon
Compare Zip Codes
Comparison Subject

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

0.0
600.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Oregon Map

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

Zip Code Births / 1,000 Women vs State vs National
1.97453538.040.0(+498)#148.0(+490)#138
2.97125533.040.0(+493)#248.0(+485)#144
3.97874333.040.0(+293)#348.0(+285)#381
4.97019280.040.0(+240)#448.0(+232)#533
5.97039279.040.0(+239)#548.0(+231)#539
6.97750273.040.0(+233)#648.0(+225)#565
7.97449237.040.0(+197)#748.0(+189)#728
8.97118217.040.0(+177)#848.0(+169)#857
9.97495215.040.0(+175)#948.0(+167)#875
10.97022211.040.0(+171)#1048.0(+163)#906
11.97636209.040.0(+169)#1148.0(+161)#923
12.97544206.040.0(+166)#1248.0(+158)#940
13.97450200.040.0(+160)#1348.0(+152)#985
14.97364200.040.0(+160)#1448.0(+152)#989
15.97833191.040.0(+151)#1548.0(+143)#1,092
16.97412189.040.0(+149)#1648.0(+141)#1,105
17.97108188.040.0(+148)#1748.0(+140)#1,119
18.97454177.040.0(+137)#1848.0(+129)#1,236
19.97857176.040.0(+136)#1948.0(+128)#1,244
20.97419174.040.0(+134)#2048.0(+126)#1,275
21.97867171.040.0(+131)#2148.0(+123)#1,325
22.97109170.040.0(+130)#2248.0(+122)#1,340
23.97343167.040.0(+127)#2348.0(+119)#1,392
24.97050167.040.0(+127)#2448.0(+119)#1,403
25.97326163.040.0(+123)#2548.0(+115)#1,450
26.97114149.040.0(+109)#2648.0(+101)#1,694
27.97341148.040.0(+108)#2748.0(+100.0)#1,715
28.97415144.040.0(+104)#2848.0(+96.0)#1,793
29.97739135.040.0(+95.0)#2948.0(+87.0)#2,038
30.97873133.040.0(+93.0)#3048.0(+85.0)#2,121
31.97446131.040.0(+91.0)#3148.0(+83.0)#2,150
32.97913130.040.0(+90.0)#3248.0(+82.0)#2,174
33.97385128.040.0(+88.0)#3348.0(+80.0)#2,243
34.97539119.040.0(+79.0)#3448.0(+71.0)#2,556
35.97499114.040.0(+74.0)#3548.0(+66.0)#2,771
36.97818113.040.0(+73.0)#3648.0(+65.0)#2,803
37.97638111.040.0(+71.0)#3748.0(+63.0)#2,924
38.97452110.040.0(+70.0)#3848.0(+62.0)#2,972
39.97141109.040.0(+69.0)#3948.0(+61.0)#2,997
40.97907102.040.0(+62.0)#4048.0(+54.0)#3,424
41.97049100.040.0(+60.0)#4148.0(+52.0)#3,519
42.97436100.040.0(+60.0)#4248.0(+52.0)#3,531
43.9714899.040.0(+59.0)#4348.0(+51.0)#3,587
44.9773897.040.0(+57.0)#4448.0(+49.0)#3,731
45.9743794.040.0(+54.0)#4548.0(+46.0)#3,923
46.9701892.040.0(+52.0)#4648.0(+44.0)#4,078
47.9701587.040.0(+47.0)#4748.0(+39.0)#4,499
48.9737885.040.0(+45.0)#4848.0(+37.0)#4,729
49.9744485.040.0(+45.0)#4948.0(+37.0)#4,743
50.9713683.040.0(+43.0)#5048.0(+35.0)#4,968
51.9744382.040.0(+42.0)#5148.0(+34.0)#5,079
52.9703480.040.0(+40.0)#5248.0(+32.0)#5,259
53.9742480.040.0(+40.0)#5348.0(+32.0)#5,264
54.9741780.040.0(+40.0)#5448.0(+32.0)#5,318
55.9782079.040.0(+39.0)#5548.0(+31.0)#5,453
56.9787577.040.0(+37.0)#5648.0(+29.0)#5,697
57.9746275.040.0(+35.0)#5748.0(+27.0)#5,946
58.9750174.040.0(+34.0)#5848.0(+26.0)#6,011
59.9752373.040.0(+33.0)#5948.0(+25.0)#6,243
60.9731772.040.0(+32.0)#6048.0(+24.0)#6,352
61.9780172.040.0(+32.0)#6148.0(+24.0)#6,362
62.9738172.040.0(+32.0)#6248.0(+24.0)#6,378
63.9784671.040.0(+31.0)#6348.0(+23.0)#6,605
64.9700269.040.0(+29.0)#6448.0(+21.0)#6,929
65.9708068.040.0(+28.0)#6548.0(+20.0)#7,029
66.9738068.040.0(+28.0)#6648.0(+20.0)#7,172
67.9704567.040.0(+27.0)#6748.0(+19.0)#7,218
68.9733867.040.0(+27.0)#6848.0(+19.0)#7,267
69.9705667.040.0(+27.0)#6948.0(+19.0)#7,306
70.9736067.040.0(+27.0)#7048.0(+19.0)#7,369
71.9706865.040.0(+25.0)#7148.0(+17.0)#7,635
72.9781465.040.0(+25.0)#7248.0(+17.0)#7,699
73.9714665.040.0(+25.0)#7348.0(+17.0)#7,724
74.9743065.040.0(+25.0)#7448.0(+17.0)#7,813
75.9711264.040.0(+24.0)#7548.0(+16.0)#7,968
76.9770363.040.0(+23.0)#7648.0(+15.0)#8,043
77.9791463.040.0(+23.0)#7748.0(+15.0)#8,078
78.9739263.040.0(+23.0)#7848.0(+15.0)#8,141
79.9722962.040.0(+22.0)#7948.0(+14.0)#8,258
80.9712862.040.0(+22.0)#8048.0(+14.0)#8,295
81.9782362.040.0(+22.0)#8148.0(+14.0)#8,473
82.9732261.040.0(+21.0)#8248.0(+13.0)#8,510
83.9705861.040.0(+21.0)#8348.0(+13.0)#8,554
84.9710161.040.0(+21.0)#8448.0(+13.0)#8,632
85.9788361.040.0(+21.0)#8548.0(+13.0)#8,649
86.9734661.040.0(+21.0)#8648.0(+13.0)#8,675
87.9710360.040.0(+20.0)#8748.0(+12.0)#8,788
88.9760159.040.0(+19.0)#8848.0(+11.0)#8,973
89.9737059.040.0(+19.0)#8948.0(+11.0)#9,031
90.9735259.040.0(+19.0)#9048.0(+11.0)#9,052
91.9721957.040.0(+17.0)#9148.0(+9.00)#9,410
92.9736157.040.0(+17.0)#9248.0(+9.00)#9,506
93.9743557.040.0(+17.0)#9348.0(+9.00)#9,568
94.9723356.040.0(+16.0)#9448.0(+8.00)#9,645
95.9703156.040.0(+16.0)#9548.0(+8.00)#9,711
96.9705156.040.0(+16.0)#9648.0(+8.00)#9,715
97.9713756.040.0(+16.0)#9748.0(+8.00)#9,853
98.9730455.040.0(+15.0)#9848.0(+7.00)#9,959
99.9700555.040.0(+15.0)#9948.0(+7.00)#9,982
100.9738355.040.0(+15.0)#10048.0(+7.00)#10,058

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Oregon?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Oregon are:
#1
538.0
#2
533.0
#3
333.0
#4
280.0
#5
279.0
#6
273.0
#7
237.0
#8
217.0
#9
215.0
#10
211.0
What zip code has the Most Births per 1,000 Women in Labor Force in Oregon?
97453 has the Most Births per 1,000 Women in Labor Force in Oregon with 538.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Oregon?
Number of Births per 1,000 Women in Labor Force in Oregon is 40.0.
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.