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

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Lowest 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 Lowest Births per 1,000 Women in Labor Force in Pennsylvania

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

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

Zip Code Births / 1,000 Women vs State vs National
1.164171.047.0(-46.0)#148.0(-47.0)#5
2.170271.047.0(-46.0)#248.0(-47.0)#11
3.152032.047.0(-45.0)#348.0(-46.0)#18
4.193432.047.0(-45.0)#448.0(-46.0)#20
5.191073.047.0(-44.0)#548.0(-45.0)#42
6.189384.047.0(-43.0)#648.0(-44.0)#101
7.190124.047.0(-43.0)#748.0(-44.0)#116
8.188105.047.0(-42.0)#848.0(-43.0)#195
9.170685.047.0(-42.0)#948.0(-43.0)#204
10.191516.047.0(-41.0)#1048.0(-42.0)#234
11.151316.047.0(-41.0)#1148.0(-42.0)#257
12.160386.047.0(-41.0)#1248.0(-42.0)#275
13.174027.047.0(-40.0)#1348.0(-41.0)#310
14.154177.047.0(-40.0)#1448.0(-41.0)#343
15.155507.047.0(-40.0)#1548.0(-41.0)#388
16.160578.047.0(-39.0)#1648.0(-40.0)#423
17.190858.047.0(-39.0)#1748.0(-40.0)#435
18.195608.047.0(-39.0)#1848.0(-40.0)#440
19.190748.047.0(-39.0)#1948.0(-40.0)#461
20.190318.047.0(-39.0)#2048.0(-40.0)#469
21.184248.047.0(-39.0)#2148.0(-40.0)#472
22.182558.047.0(-39.0)#2248.0(-40.0)#481
23.151488.047.0(-39.0)#2348.0(-40.0)#508
24.159548.047.0(-39.0)#2448.0(-40.0)#509
25.188508.047.0(-39.0)#2548.0(-40.0)#520
26.162329.047.0(-38.0)#2648.0(-39.0)#609
27.183329.047.0(-38.0)#2748.0(-39.0)#623
28.153579.047.0(-38.0)#2848.0(-39.0)#649
29.170069.047.0(-38.0)#2948.0(-39.0)#658
30.1521110.047.0(-37.0)#3048.0(-38.0)#716
31.1536710.047.0(-37.0)#3148.0(-38.0)#719
32.1870810.047.0(-37.0)#3248.0(-38.0)#726
33.1514510.047.0(-37.0)#3348.0(-38.0)#745
34.1902910.047.0(-37.0)#3448.0(-38.0)#765
35.1953410.047.0(-37.0)#3548.0(-38.0)#790
36.1574710.047.0(-37.0)#3648.0(-38.0)#793
37.1705210.047.0(-37.0)#3748.0(-38.0)#801
38.1573210.047.0(-37.0)#3848.0(-38.0)#802
39.1636010.047.0(-37.0)#3948.0(-38.0)#803
40.1710411.047.0(-36.0)#4048.0(-37.0)#843
41.1840711.047.0(-36.0)#4148.0(-37.0)#856
42.1810611.047.0(-36.0)#4248.0(-37.0)#885
43.1894711.047.0(-36.0)#4348.0(-37.0)#891
44.1851911.047.0(-36.0)#4448.0(-37.0)#903
45.1663011.047.0(-36.0)#4548.0(-37.0)#907
46.1750111.047.0(-36.0)#4648.0(-37.0)#910
47.1772811.047.0(-36.0)#4748.0(-37.0)#912
48.1625411.047.0(-36.0)#4848.0(-37.0)#928
49.1787811.047.0(-36.0)#4948.0(-37.0)#964
50.1691711.047.0(-36.0)#5048.0(-37.0)#973
51.1522511.047.0(-36.0)#5148.0(-37.0)#982
52.1541111.047.0(-36.0)#5248.0(-37.0)#986
53.1504212.047.0(-35.0)#5348.0(-36.0)#1,055
54.1590112.047.0(-35.0)#5448.0(-36.0)#1,095
55.1575912.047.0(-35.0)#5548.0(-36.0)#1,103
56.1740712.047.0(-35.0)#5648.0(-36.0)#1,113
57.1561812.047.0(-35.0)#5748.0(-36.0)#1,118
58.1602812.047.0(-35.0)#5848.0(-36.0)#1,123
59.1661312.047.0(-35.0)#5948.0(-36.0)#1,130
60.1662112.047.0(-35.0)#6048.0(-36.0)#1,154
61.1685912.047.0(-35.0)#6148.0(-36.0)#1,156
62.1520113.047.0(-34.0)#6248.0(-35.0)#1,209
63.1736113.047.0(-34.0)#6348.0(-35.0)#1,244
64.1902213.047.0(-34.0)#6448.0(-35.0)#1,274
65.1531413.047.0(-34.0)#6548.0(-35.0)#1,276
66.1803813.047.0(-34.0)#6648.0(-35.0)#1,279
67.1882113.047.0(-34.0)#6748.0(-35.0)#1,325
68.1534113.047.0(-34.0)#6848.0(-35.0)#1,337
69.1910414.047.0(-33.0)#6948.0(-34.0)#1,349
70.1703614.047.0(-33.0)#7048.0(-34.0)#1,367
71.1807114.047.0(-33.0)#7148.0(-34.0)#1,397
72.1632714.047.0(-33.0)#7248.0(-34.0)#1,471
73.1555814.047.0(-33.0)#7348.0(-34.0)#1,480
74.1692214.047.0(-33.0)#7448.0(-34.0)#1,490
75.1503414.047.0(-33.0)#7548.0(-34.0)#1,494
76.1687214.047.0(-33.0)#7648.0(-34.0)#1,496
77.1665514.047.0(-33.0)#7748.0(-34.0)#1,504
78.1669214.047.0(-33.0)#7848.0(-34.0)#1,516
79.1667414.047.0(-33.0)#7948.0(-34.0)#1,526
80.1802015.047.0(-32.0)#8048.0(-33.0)#1,555
81.1952615.047.0(-32.0)#8148.0(-33.0)#1,584
82.1785715.047.0(-32.0)#8248.0(-33.0)#1,609
83.1615715.047.0(-32.0)#8348.0(-33.0)#1,653
84.1709815.047.0(-32.0)#8448.0(-33.0)#1,670
85.1521316.047.0(-31.0)#8548.0(-32.0)#1,742
86.1806216.047.0(-31.0)#8648.0(-32.0)#1,749
87.1506116.047.0(-31.0)#8748.0(-32.0)#1,782
88.1908116.047.0(-31.0)#8848.0(-32.0)#1,792
89.1736316.047.0(-31.0)#8948.0(-32.0)#1,799
90.1723616.047.0(-31.0)#9048.0(-32.0)#1,803
91.1513516.047.0(-31.0)#9148.0(-32.0)#1,825
92.1753616.047.0(-31.0)#9248.0(-32.0)#1,849
93.1702316.047.0(-31.0)#9348.0(-32.0)#1,850
94.1612016.047.0(-31.0)#9448.0(-32.0)#1,871
95.1534916.047.0(-31.0)#9548.0(-32.0)#1,883
96.1694216.047.0(-31.0)#9648.0(-32.0)#1,905
97.1825217.047.0(-30.0)#9748.0(-31.0)#1,980
98.1784217.047.0(-30.0)#9848.0(-31.0)#1,990
99.1753817.047.0(-30.0)#9948.0(-31.0)#2,001
100.1511017.047.0(-30.0)#10048.0(-31.0)#2,020

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Pennsylvania?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Pennsylvania are:
#1
1.0
#2
1.0
#3
2.0
#4
2.0
#5
3.0
#6
4.0
#7
4.0
#8
5.0
#9
5.0
#10
6.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Pennsylvania?
16417 has the Lowest Births per 1,000 Women in Labor Force in Pennsylvania with 1.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Pennsylvania?
Number Births per 1,000 Women in Labor Force in Pennsylvania is 47.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.