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

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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
Puerto Rico
Compare Zip Codes
Comparison Subject

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

0.0
150.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Puerto Rico Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 00631 101.0 26.0 (+75.0)#1 48.0 (+53.0)#3,472
2. 00783 78.0 26.0 (+52.0)#2 48.0 (+30.0)#5,482
3. 00653 70.0 26.0 (+44.0)#3 48.0 (+22.0)#6,731
4. 00913 70.0 26.0 (+44.0)#4 48.0 (+22.0)#6,741
5. 00690 67.0 26.0 (+41.0)#5 48.0 (+19.0)#7,334
6. 00669 62.0 26.0 (+36.0)#6 48.0 (+14.0)#8,329
7. 00911 59.0 26.0 (+33.0)#7 48.0 (+11.0)#9,049
8. 00794 58.0 26.0 (+32.0)#8 48.0 (+10.00)#9,206
9. 00659 55.0 26.0 (+29.0)#9 48.0 (+7.00)#9,945
10. 00638 55.0 26.0 (+29.0)#10 48.0 (+7.00)#10,019
11. 00952 55.0 26.0 (+29.0)#11 48.0 (+7.00)#10,074
12. 00692 54.0 26.0 (+28.0)#12 48.0 (+6.00)#10,233
13. 00767 52.0 26.0 (+26.0)#13 48.0 (+4.00)#10,799
14. 00777 51.0 26.0 (+25.0)#14 48.0 (+3.00)#11,072
15. 00698 51.0 26.0 (+25.0)#15 48.0 (+3.00)#11,081
16. 00982 49.0 26.0 (+23.0)#16 48.0 (+1.000)#11,771
17. 00685 47.0 26.0 (+21.0)#17 48.0 (-1.000)#12,237
18. 00731 47.0 26.0 (+21.0)#18 48.0 (-1.000)#12,376
19. 00680 45.0 26.0 (+19.0)#19 48.0 (-3.00)#12,829
20. 00962 44.0 26.0 (+18.0)#20 48.0 (-4.00)#13,272
21. 00660 44.0 26.0 (+18.0)#21 48.0 (-4.00)#13,294
22. 00646 39.0 26.0 (+13.0)#22 48.0 (-9.00)#14,870
23. 00771 38.0 26.0 (+12.0)#23 48.0 (-10.00)#15,173
24. 00772 38.0 26.0 (+12.0)#24 48.0 (-10.00)#15,248
25. 00736 37.0 26.0 (+11.0)#25 48.0 (-11.0)#15,482
26. 00795 37.0 26.0 (+11.0)#26 48.0 (-11.0)#15,487
27. 00662 37.0 26.0 (+11.0)#27 48.0 (-11.0)#15,497
28. 00674 37.0 26.0 (+11.0)#28 48.0 (-11.0)#15,506
29. 00687 35.0 26.0 (+9.00)#29 48.0 (-13.0)#16,161
30. 00720 35.0 26.0 (+9.00)#30 48.0 (-13.0)#16,200
31. 00987 34.0 26.0 (+8.00)#31 48.0 (-14.0)#16,397
32. 00728 33.0 26.0 (+7.00)#32 48.0 (-15.0)#16,741
33. 00730 33.0 26.0 (+7.00)#33 48.0 (-15.0)#16,759
34. 00682 33.0 26.0 (+7.00)#34 48.0 (-15.0)#16,769
35. 00727 32.0 26.0 (+6.00)#35 48.0 (-16.0)#17,039
36. 00716 32.0 26.0 (+6.00)#36 48.0 (-16.0)#17,111
37. 00705 31.0 26.0 (+5.00)#37 48.0 (-17.0)#17,443
38. 00924 30.0 26.0 (+4.00)#38 48.0 (-18.0)#17,684
39. 00791 30.0 26.0 (+4.00)#39 48.0 (-18.0)#17,686
40. 00641 30.0 26.0 (+4.00)#40 48.0 (-18.0)#17,747
41. 00656 30.0 26.0 (+4.00)#41 48.0 (-18.0)#17,778
42. 00926 29.0 26.0 (+3.00)#42 48.0 (-19.0)#17,941
43. 00784 29.0 26.0 (+3.00)#43 48.0 (-19.0)#17,968
44. 00949 28.0 26.0 (+2.00)#44 48.0 (-20.0)#18,235
45. 00693 28.0 26.0 (+2.00)#45 48.0 (-20.0)#18,241
46. 00959 28.0 26.0 (+2.00)#46 48.0 (-20.0)#18,249
47. 00745 28.0 26.0 (+2.00)#47 48.0 (-20.0)#18,250
48. 00985 28.0 26.0 (+2.00)#48 48.0 (-20.0)#18,282
49. 00723 28.0 26.0 (+2.00)#49 48.0 (-20.0)#18,348
50. 00707 28.0 26.0 (+2.00)#50 48.0 (-20.0)#18,376
51. 00957 27.0 26.0 (+1.000)#51 48.0 (-21.0)#18,550
52. 00714 27.0 26.0 (+1.000)#52 48.0 (-21.0)#18,632
53. 00956 25.0 26.0 (-1.000)#53 48.0 (-23.0)#19,118
54. 00778 25.0 26.0 (-1.000)#54 48.0 (-23.0)#19,135
55. 00961 25.0 26.0 (-1.000)#55 48.0 (-23.0)#19,159
56. 00915 25.0 26.0 (-1.000)#56 48.0 (-23.0)#19,177
57. 00766 25.0 26.0 (-1.000)#57 48.0 (-23.0)#19,189
58. 00664 25.0 26.0 (-1.000)#58 48.0 (-23.0)#19,223
59. 00688 25.0 26.0 (-1.000)#59 48.0 (-23.0)#19,242
60. 00729 23.0 26.0 (-3.00)#60 48.0 (-25.0)#19,693
61. 00627 23.0 26.0 (-3.00)#61 48.0 (-25.0)#19,712
62. 00678 23.0 26.0 (-3.00)#62 48.0 (-25.0)#19,732
63. 00907 23.0 26.0 (-3.00)#63 48.0 (-25.0)#19,764
64. 00912 23.0 26.0 (-3.00)#64 48.0 (-25.0)#19,830
65. 00683 22.0 26.0 (-4.00)#65 48.0 (-26.0)#19,977
66. 00667 22.0 26.0 (-4.00)#66 48.0 (-26.0)#19,991
67. 00650 22.0 26.0 (-4.00)#67 48.0 (-26.0)#20,027
68. 00976 21.0 26.0 (-5.00)#68 48.0 (-27.0)#20,200
69. 00602 21.0 26.0 (-5.00)#69 48.0 (-27.0)#20,211
70. 00612 20.0 26.0 (-6.00)#70 48.0 (-28.0)#20,458
71. 00983 20.0 26.0 (-6.00)#71 48.0 (-28.0)#20,478
72. 00773 20.0 26.0 (-6.00)#72 48.0 (-28.0)#20,520
73. 00616 18.0 26.0 (-8.00)#73 48.0 (-30.0)#21,015
74. 00923 17.0 26.0 (-9.00)#74 48.0 (-31.0)#21,171
75. 00622 17.0 26.0 (-9.00)#75 48.0 (-31.0)#21,220
76. 00603 16.0 26.0 (-10.00)#76 48.0 (-32.0)#21,334
77. 00623 16.0 26.0 (-10.00)#77 48.0 (-32.0)#21,340
78. 00971 16.0 26.0 (-10.00)#78 48.0 (-32.0)#21,355
79. 00601 16.0 26.0 (-10.00)#79 48.0 (-32.0)#21,378
80. 00652 15.0 26.0 (-11.0)#80 48.0 (-33.0)#21,635
81. 00953 14.0 26.0 (-12.0)#81 48.0 (-34.0)#21,724
82. 00738 14.0 26.0 (-12.0)#82 48.0 (-34.0)#21,734
83. 00757 14.0 26.0 (-12.0)#83 48.0 (-34.0)#21,750
84. 00676 13.0 26.0 (-13.0)#84 48.0 (-35.0)#21,919
85. 00617 13.0 26.0 (-13.0)#85 48.0 (-35.0)#21,927
86. 00927 13.0 26.0 (-13.0)#86 48.0 (-35.0)#21,959
87. 00754 12.0 26.0 (-14.0)#87 48.0 (-36.0)#22,105
88. 00718 12.0 26.0 (-14.0)#88 48.0 (-36.0)#22,113
89. 00966 12.0 26.0 (-14.0)#89 48.0 (-36.0)#22,124
90. 00918 12.0 26.0 (-14.0)#90 48.0 (-36.0)#22,126
91. 00717 12.0 26.0 (-14.0)#91 48.0 (-36.0)#22,128
92. 00637 11.0 26.0 (-15.0)#92 48.0 (-37.0)#22,271
93. 00725 10.0 26.0 (-16.0)#93 48.0 (-38.0)#22,423
94. 00969 10.0 26.0 (-16.0)#94 48.0 (-38.0)#22,427
95. 00610 9.0 26.0 (-17.0)#95 48.0 (-39.0)#22,590
96. 00782 9.0 26.0 (-17.0)#96 48.0 (-39.0)#22,596
97. 00735 7.0 26.0 (-19.0)#97 48.0 (-41.0)#22,870
98. 00769 6.0 26.0 (-20.0)#98 48.0 (-42.0)#22,948
99. 00703 6.0 26.0 (-20.0)#99 48.0 (-42.0)#22,953
100. 00739 5.0 26.0 (-21.0)#100 48.0 (-43.0)#23,024

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Puerto Rico?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Puerto Rico are:
#1
101.0
#2
78.0
#3
70.0
#4
70.0
#5
67.0
#6
62.0
#7
59.0
#8
58.0
#9
55.0
#10
55.0
What zip code has the Most Births per 1,000 Women in Labor Force in Puerto Rico?
00631 has the Most Births per 1,000 Women in Labor Force in Puerto Rico with 101.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Puerto Rico?
Number of Births per 1,000 Women in Labor Force in Puerto Rico is 26.0.
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.