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

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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
Pennsylvania
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1.184601,000.047.0(+953)#148.0(+952)#23
2.17778889.047.0(+842)#248.0(+841)#56
3.17263853.047.0(+806)#348.0(+805)#59
4.19511750.047.0(+703)#448.0(+702)#68
5.19435708.047.0(+661)#548.0(+660)#76
6.18241652.047.0(+605)#648.0(+604)#99
7.15623626.047.0(+579)#748.0(+578)#109
8.18817571.047.0(+524)#848.0(+523)#126
9.15490550.047.0(+503)#948.0(+502)#134
10.17253508.047.0(+461)#1048.0(+460)#159
11.16036483.047.0(+436)#1148.0(+435)#184
12.15773478.047.0(+431)#1248.0(+430)#188
13.17550455.047.0(+408)#1348.0(+407)#217
14.15007447.047.0(+400)#1448.0(+399)#221
15.17729429.047.0(+382)#1548.0(+381)#240
16.18211384.047.0(+337)#1648.0(+336)#284
17.16624375.047.0(+328)#1748.0(+327)#299
18.18371372.047.0(+325)#1848.0(+324)#309
19.17829370.047.0(+323)#1948.0(+322)#311
20.19456368.047.0(+321)#2048.0(+320)#314
21.16848345.047.0(+298)#2148.0(+297)#356
22.15364333.047.0(+286)#2248.0(+285)#374
23.17088321.047.0(+274)#2348.0(+273)#414
24.17731313.047.0(+266)#2448.0(+265)#438
25.16943300.047.0(+253)#2548.0(+252)#468
26.15744300.047.0(+253)#2648.0(+252)#473
27.16244296.047.0(+249)#2748.0(+248)#482
28.18242292.047.0(+245)#2848.0(+244)#491
29.15928290.047.0(+243)#2948.0(+242)#497
30.15321278.047.0(+231)#3048.0(+230)#540
31.16677265.047.0(+218)#3148.0(+217)#594
32.15340262.047.0(+215)#3248.0(+214)#607
33.16133254.047.0(+207)#3348.0(+206)#634
34.16633250.047.0(+203)#3448.0(+202)#654
35.15051245.047.0(+198)#3548.0(+197)#688
36.16665245.047.0(+198)#3648.0(+197)#689
37.16926238.047.0(+191)#3748.0(+190)#721
38.18814238.047.0(+191)#3848.0(+190)#726
39.17266230.047.0(+183)#3948.0(+182)#771
40.16131226.047.0(+179)#4048.0(+178)#790
41.15018222.047.0(+175)#4148.0(+174)#815
42.18628222.047.0(+175)#4248.0(+174)#822
43.15665220.047.0(+173)#4348.0(+172)#832
44.15921219.047.0(+172)#4448.0(+171)#847
45.16422217.047.0(+170)#4548.0(+169)#862
46.18832215.047.0(+168)#4648.0(+167)#874
47.17318207.047.0(+160)#4748.0(+159)#937
48.16316206.047.0(+159)#4848.0(+158)#938
49.18854205.047.0(+158)#4948.0(+157)#952
50.17223200.047.0(+153)#5048.0(+152)#993
51.19405198.047.0(+151)#5148.0(+150)#1,024
52.16256195.047.0(+148)#5248.0(+147)#1,063
53.18930194.047.0(+147)#5348.0(+146)#1,070
54.16636194.047.0(+147)#5448.0(+146)#1,073
55.19550194.047.0(+147)#5548.0(+146)#1,076
56.16935193.047.0(+146)#5648.0(+145)#1,080
57.17563191.047.0(+144)#5748.0(+143)#1,088
58.15870186.047.0(+139)#5848.0(+138)#1,138
59.18331185.047.0(+138)#5948.0(+137)#1,152
60.15455184.047.0(+137)#6048.0(+136)#1,167
61.15943183.047.0(+136)#6148.0(+135)#1,176
62.15112180.047.0(+133)#6248.0(+132)#1,203
63.17768179.047.0(+132)#6348.0(+131)#1,218
64.15955178.047.0(+131)#6448.0(+130)#1,224
65.16920175.047.0(+128)#6548.0(+127)#1,256
66.17097175.047.0(+128)#6648.0(+127)#1,262
67.17080175.047.0(+128)#6748.0(+127)#1,265
68.18846174.047.0(+127)#6848.0(+126)#1,276
69.19549174.047.0(+127)#6948.0(+126)#1,278
70.18250172.047.0(+125)#7048.0(+124)#1,297
71.18629170.047.0(+123)#7148.0(+122)#1,335
72.15076168.047.0(+121)#7248.0(+120)#1,366
73.18844167.047.0(+120)#7348.0(+119)#1,377
74.17835167.047.0(+120)#7448.0(+119)#1,405
75.16638167.047.0(+120)#7548.0(+119)#1,407
76.15688160.047.0(+113)#7648.0(+112)#1,500
77.18462159.047.0(+112)#7748.0(+111)#1,523
78.16827158.047.0(+111)#7848.0(+110)#1,531
79.18451158.047.0(+111)#7948.0(+110)#1,541
80.16420158.047.0(+111)#8048.0(+110)#1,543
81.15637157.047.0(+110)#8148.0(+109)#1,552
82.18465157.047.0(+110)#8248.0(+109)#1,554
83.15551157.047.0(+110)#8348.0(+109)#1,558
84.15684157.047.0(+110)#8448.0(+109)#1,559
85.18240155.047.0(+108)#8548.0(+107)#1,590
86.19137152.047.0(+105)#8648.0(+104)#1,637
87.16695151.047.0(+104)#8748.0(+103)#1,664
88.15847150.047.0(+103)#8848.0(+102)#1,690
89.16647149.047.0(+102)#8948.0(+101)#1,704
90.17582148.047.0(+101)#9048.0(+100.0)#1,718
91.16333148.047.0(+101)#9148.0(+100.0)#1,729
92.15477147.047.0(+100.0)#9248.0(+99.0)#1,749
93.16679147.047.0(+100.0)#9348.0(+99.0)#1,751
94.16246147.047.0(+100.0)#9448.0(+99.0)#1,756
95.19032146.047.0(+99.0)#9548.0(+98.0)#1,762
96.16932146.047.0(+99.0)#9648.0(+98.0)#1,772
97.18469145.047.0(+98.0)#9748.0(+97.0)#1,790
98.19025142.047.0(+95.0)#9848.0(+94.0)#1,860
99.16242142.047.0(+95.0)#9948.0(+94.0)#1,862
100.16334140.047.0(+93.0)#10048.0(+92.0)#1,913

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Pennsylvania?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Pennsylvania are:
#1
1,000.0
#2
889.0
#3
853.0
#4
750.0
#5
708.0
#6
652.0
#7
626.0
#8
571.0
#9
550.0
#10
508.0
What zip code has the Most Births per 1,000 Women in Labor Force in Pennsylvania?
18460 has the Most Births per 1,000 Women in Labor Force in Pennsylvania with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Pennsylvania?
Number of Births per 1,000 Women in Labor Force in Pennsylvania is 47.0.
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.