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. 18460 1,000.0 47.0 (+953)#1 48.0 (+952)#23
2. 17778 889.0 47.0 (+842)#2 48.0 (+841)#56
3. 17263 853.0 47.0 (+806)#3 48.0 (+805)#59
4. 19511 750.0 47.0 (+703)#4 48.0 (+702)#68
5. 19435 708.0 47.0 (+661)#5 48.0 (+660)#76
6. 18241 652.0 47.0 (+605)#6 48.0 (+604)#99
7. 15623 626.0 47.0 (+579)#7 48.0 (+578)#109
8. 18817 571.0 47.0 (+524)#8 48.0 (+523)#126
9. 15490 550.0 47.0 (+503)#9 48.0 (+502)#134
10. 17253 508.0 47.0 (+461)#10 48.0 (+460)#159
11. 16036 483.0 47.0 (+436)#11 48.0 (+435)#184
12. 15773 478.0 47.0 (+431)#12 48.0 (+430)#188
13. 17550 455.0 47.0 (+408)#13 48.0 (+407)#217
14. 15007 447.0 47.0 (+400)#14 48.0 (+399)#221
15. 17729 429.0 47.0 (+382)#15 48.0 (+381)#240
16. 18211 384.0 47.0 (+337)#16 48.0 (+336)#284
17. 16624 375.0 47.0 (+328)#17 48.0 (+327)#299
18. 18371 372.0 47.0 (+325)#18 48.0 (+324)#309
19. 17829 370.0 47.0 (+323)#19 48.0 (+322)#311
20. 19456 368.0 47.0 (+321)#20 48.0 (+320)#314
21. 16848 345.0 47.0 (+298)#21 48.0 (+297)#356
22. 15364 333.0 47.0 (+286)#22 48.0 (+285)#374
23. 17088 321.0 47.0 (+274)#23 48.0 (+273)#414
24. 17731 313.0 47.0 (+266)#24 48.0 (+265)#438
25. 16943 300.0 47.0 (+253)#25 48.0 (+252)#468
26. 15744 300.0 47.0 (+253)#26 48.0 (+252)#473
27. 16244 296.0 47.0 (+249)#27 48.0 (+248)#482
28. 18242 292.0 47.0 (+245)#28 48.0 (+244)#491
29. 15928 290.0 47.0 (+243)#29 48.0 (+242)#497
30. 15321 278.0 47.0 (+231)#30 48.0 (+230)#540
31. 16677 265.0 47.0 (+218)#31 48.0 (+217)#594
32. 15340 262.0 47.0 (+215)#32 48.0 (+214)#607
33. 16133 254.0 47.0 (+207)#33 48.0 (+206)#634
34. 16633 250.0 47.0 (+203)#34 48.0 (+202)#654
35. 15051 245.0 47.0 (+198)#35 48.0 (+197)#688
36. 16665 245.0 47.0 (+198)#36 48.0 (+197)#689
37. 16926 238.0 47.0 (+191)#37 48.0 (+190)#721
38. 18814 238.0 47.0 (+191)#38 48.0 (+190)#726
39. 17266 230.0 47.0 (+183)#39 48.0 (+182)#771
40. 16131 226.0 47.0 (+179)#40 48.0 (+178)#790
41. 15018 222.0 47.0 (+175)#41 48.0 (+174)#815
42. 18628 222.0 47.0 (+175)#42 48.0 (+174)#822
43. 15665 220.0 47.0 (+173)#43 48.0 (+172)#832
44. 15921 219.0 47.0 (+172)#44 48.0 (+171)#847
45. 16422 217.0 47.0 (+170)#45 48.0 (+169)#862
46. 18832 215.0 47.0 (+168)#46 48.0 (+167)#874
47. 17318 207.0 47.0 (+160)#47 48.0 (+159)#937
48. 16316 206.0 47.0 (+159)#48 48.0 (+158)#938
49. 18854 205.0 47.0 (+158)#49 48.0 (+157)#952
50. 17223 200.0 47.0 (+153)#50 48.0 (+152)#993
51. 19405 198.0 47.0 (+151)#51 48.0 (+150)#1,024
52. 16256 195.0 47.0 (+148)#52 48.0 (+147)#1,063
53. 18930 194.0 47.0 (+147)#53 48.0 (+146)#1,070
54. 16636 194.0 47.0 (+147)#54 48.0 (+146)#1,073
55. 19550 194.0 47.0 (+147)#55 48.0 (+146)#1,076
56. 16935 193.0 47.0 (+146)#56 48.0 (+145)#1,080
57. 17563 191.0 47.0 (+144)#57 48.0 (+143)#1,088
58. 15870 186.0 47.0 (+139)#58 48.0 (+138)#1,138
59. 18331 185.0 47.0 (+138)#59 48.0 (+137)#1,152
60. 15455 184.0 47.0 (+137)#60 48.0 (+136)#1,167
61. 15943 183.0 47.0 (+136)#61 48.0 (+135)#1,176
62. 15112 180.0 47.0 (+133)#62 48.0 (+132)#1,203
63. 17768 179.0 47.0 (+132)#63 48.0 (+131)#1,218
64. 15955 178.0 47.0 (+131)#64 48.0 (+130)#1,224
65. 16920 175.0 47.0 (+128)#65 48.0 (+127)#1,256
66. 17097 175.0 47.0 (+128)#66 48.0 (+127)#1,262
67. 17080 175.0 47.0 (+128)#67 48.0 (+127)#1,265
68. 18846 174.0 47.0 (+127)#68 48.0 (+126)#1,276
69. 19549 174.0 47.0 (+127)#69 48.0 (+126)#1,278
70. 18250 172.0 47.0 (+125)#70 48.0 (+124)#1,297
71. 18629 170.0 47.0 (+123)#71 48.0 (+122)#1,335
72. 15076 168.0 47.0 (+121)#72 48.0 (+120)#1,366
73. 18844 167.0 47.0 (+120)#73 48.0 (+119)#1,377
74. 17835 167.0 47.0 (+120)#74 48.0 (+119)#1,405
75. 16638 167.0 47.0 (+120)#75 48.0 (+119)#1,407
76. 15688 160.0 47.0 (+113)#76 48.0 (+112)#1,500
77. 18462 159.0 47.0 (+112)#77 48.0 (+111)#1,523
78. 16827 158.0 47.0 (+111)#78 48.0 (+110)#1,531
79. 18451 158.0 47.0 (+111)#79 48.0 (+110)#1,541
80. 16420 158.0 47.0 (+111)#80 48.0 (+110)#1,543
81. 15637 157.0 47.0 (+110)#81 48.0 (+109)#1,552
82. 18465 157.0 47.0 (+110)#82 48.0 (+109)#1,554
83. 15551 157.0 47.0 (+110)#83 48.0 (+109)#1,558
84. 15684 157.0 47.0 (+110)#84 48.0 (+109)#1,559
85. 18240 155.0 47.0 (+108)#85 48.0 (+107)#1,590
86. 19137 152.0 47.0 (+105)#86 48.0 (+104)#1,637
87. 16695 151.0 47.0 (+104)#87 48.0 (+103)#1,664
88. 15847 150.0 47.0 (+103)#88 48.0 (+102)#1,690
89. 16647 149.0 47.0 (+102)#89 48.0 (+101)#1,704
90. 17582 148.0 47.0 (+101)#90 48.0 (+100.0)#1,718
91. 16333 148.0 47.0 (+101)#91 48.0 (+100.0)#1,729
92. 15477 147.0 47.0 (+100.0)#92 48.0 (+99.0)#1,749
93. 16679 147.0 47.0 (+100.0)#93 48.0 (+99.0)#1,751
94. 16246 147.0 47.0 (+100.0)#94 48.0 (+99.0)#1,756
95. 19032 146.0 47.0 (+99.0)#95 48.0 (+98.0)#1,762
96. 16932 146.0 47.0 (+99.0)#96 48.0 (+98.0)#1,772
97. 18469 145.0 47.0 (+98.0)#97 48.0 (+97.0)#1,790
98. 19025 142.0 47.0 (+95.0)#98 48.0 (+94.0)#1,860
99. 16242 142.0 47.0 (+95.0)#99 48.0 (+94.0)#1,862
100. 16334 140.0 47.0 (+93.0)#100 48.0 (+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.