Zip Codes with the Highest Male / Female Ratio in New Mexico

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Male / Female Ratio
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
New Mexico
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Male / Female Ratio in New Mexico

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800.00
Zip Codes with the Highest Male / Female Ratio in New Mexico Map

Zip Codes with the Highest Male / Female Ratio in New Mexico

Zip Code Males / 100 Females vs State vs National
1. 87028 604.55 99.36 (+505)#1 98.38 (+506)#118
2. 87064 473.68 99.36 (+374)#2 98.38 (+375)#167
3. 88355 468.29 99.36 (+369)#3 98.38 (+370)#171
4. 87525 357.14 99.36 (+258)#5 98.38 (+259)#240
5. 88034 357.14 99.36 (+258)#6 98.38 (+259)#241
6. 87151 356.88 99.36 (+258)#7 98.38 (+259)#242
7. 87824 333.33 99.36 (+234)#8 98.38 (+235)#266
8. 88422 331.03 99.36 (+232)#9 98.38 (+233)#270
9. 87562 277.92 99.36 (+179)#10 98.38 (+180)#365
10. 87733 260.71 99.36 (+161)#11 98.38 (+162)#408
11. 88040 252.17 99.36 (+153)#12 98.38 (+154)#429
12. 88417 245.00 99.36 (+146)#13 98.38 (+147)#457
13. 88431 242.31 99.36 (+143)#14 98.38 (+144)#470
14. 88338 233.33 99.36 (+134)#15 98.38 (+135)#497
15. 87729 230.77 99.36 (+131)#16 98.38 (+132)#518
16. 87519 212.13 99.36 (+113)#17 98.38 (+114)#655
17. 87012 199.07 99.36 (+99.7)#18 98.38 (+101)#765
18. 88353 190.11 99.36 (+90.7)#19 98.38 (+91.7)#876
19. 87006 188.89 99.36 (+89.5)#20 98.38 (+90.5)#891
20. 87510 186.05 99.36 (+86.7)#21 98.38 (+87.7)#929
21. 88424 180.95 99.36 (+81.6)#22 98.38 (+82.6)#1,011
22. 88119 177.02 99.36 (+77.7)#23 98.38 (+78.6)#1,075
23. 88330 176.22 99.36 (+76.9)#24 98.38 (+77.8)#1,090
24. 87063 175.89 99.36 (+76.5)#25 98.38 (+77.5)#1,100
25. 87027 175.82 99.36 (+76.5)#26 98.38 (+77.4)#1,103
26. 87116 175.53 99.36 (+76.2)#27 98.38 (+77.2)#1,108
27. 88339 169.66 99.36 (+70.3)#28 98.38 (+71.3)#1,212
28. 87347 163.33 99.36 (+64.0)#29 98.38 (+64.9)#1,368
29. 87582 163.09 99.36 (+63.7)#30 98.38 (+64.7)#1,374
30. 88134 162.86 99.36 (+63.5)#31 98.38 (+64.5)#1,382
31. 88120 161.76 99.36 (+62.4)#32 98.38 (+63.4)#1,411
32. 87832 157.63 99.36 (+58.3)#33 98.38 (+59.2)#1,522
33. 88311 157.45 99.36 (+58.1)#34 98.38 (+59.1)#1,530
34. 88002 156.91 99.36 (+57.6)#35 98.38 (+58.5)#1,558
35. 88301 153.29 99.36 (+53.9)#36 98.38 (+54.9)#1,687
36. 87014 152.56 99.36 (+53.2)#37 98.38 (+54.2)#1,714
37. 87931 150.35 99.36 (+51.0)#38 98.38 (+52.0)#1,816
38. 87581 150.00 99.36 (+50.6)#39 98.38 (+51.6)#1,846
39. 87723 149.52 99.36 (+50.2)#40 98.38 (+51.1)#1,867
40. 87553 148.12 99.36 (+48.8)#41 98.38 (+49.7)#1,939
41. 87041 147.01 99.36 (+47.6)#42 98.38 (+48.6)#1,999
42. 87521 146.50 99.36 (+47.1)#43 98.38 (+48.1)#2,023
43. 87829 146.39 99.36 (+47.0)#44 98.38 (+48.0)#2,030
44. 88042 145.86 99.36 (+46.5)#45 98.38 (+47.5)#2,055
45. 87017 145.39 99.36 (+46.0)#46 98.38 (+47.0)#2,080
46. 88232 144.02 99.36 (+44.7)#47 98.38 (+45.6)#2,149
47. 87556 142.80 99.36 (+43.4)#48 98.38 (+44.4)#2,216
48. 87827 142.61 99.36 (+43.2)#49 98.38 (+44.2)#2,224
49. 88351 142.17 99.36 (+42.8)#50 98.38 (+43.8)#2,249
50. 87021 140.15 99.36 (+40.8)#51 98.38 (+41.8)#2,390
51. 88044 139.14 99.36 (+39.8)#52 98.38 (+40.8)#2,471
52. 88427 138.10 99.36 (+38.7)#53 98.38 (+39.7)#2,542
53. 87515 138.03 99.36 (+38.7)#54 98.38 (+39.6)#2,546
54. 87038 137.75 99.36 (+38.4)#55 98.38 (+39.4)#2,571
55. 88435 136.89 99.36 (+37.5)#56 98.38 (+38.5)#2,649
56. 87939 134.21 99.36 (+34.8)#57 98.38 (+35.8)#2,926
57. 87540 133.51 99.36 (+34.1)#58 98.38 (+35.1)#3,014
58. 87049 132.06 99.36 (+32.7)#59 98.38 (+33.7)#3,175
59. 88434 131.75 99.36 (+32.4)#60 98.38 (+33.4)#3,205
60. 87734 130.82 99.36 (+31.5)#61 98.38 (+32.4)#3,301
61. 87830 130.42 99.36 (+31.1)#62 98.38 (+32.0)#3,353
62. 87578 130.22 99.36 (+30.9)#63 98.38 (+31.8)#3,380
63. 87742 130.08 99.36 (+30.7)#64 98.38 (+31.7)#3,395
64. 87016 130.05 99.36 (+30.7)#65 98.38 (+31.7)#3,401
65. 87549 128.63 99.36 (+29.3)#66 98.38 (+30.2)#3,568
66. 87044 128.57 99.36 (+29.2)#67 98.38 (+30.2)#3,579
67. 88113 125.61 99.36 (+26.2)#68 98.38 (+27.2)#4,022
68. 87323 125.36 99.36 (+26.0)#69 98.38 (+27.0)#4,056
69. 87045 125.15 99.36 (+25.8)#70 98.38 (+26.8)#4,085
70. 88231 124.07 99.36 (+24.7)#71 98.38 (+25.7)#4,300
71. 88121 124.05 99.36 (+24.7)#72 98.38 (+25.7)#4,305
72. 88263 123.17 99.36 (+23.8)#73 98.38 (+24.8)#4,444
73. 87036 122.33 99.36 (+23.0)#74 98.38 (+23.9)#4,616
74. 87566 122.00 99.36 (+22.6)#75 98.38 (+23.6)#4,680
75. 87512 121.82 99.36 (+22.5)#76 98.38 (+23.4)#4,721
76. 87535 121.54 99.36 (+22.2)#77 98.38 (+23.2)#4,780
77. 88053 120.24 99.36 (+20.9)#78 98.38 (+21.9)#5,084
78. 87010 119.88 99.36 (+20.5)#79 98.38 (+21.5)#5,173
79. 87569 118.78 99.36 (+19.4)#80 98.38 (+20.4)#5,433
80. 87402 118.24 99.36 (+18.9)#81 98.38 (+19.9)#5,562
81. 87560 116.27 99.36 (+16.9)#82 98.38 (+17.9)#6,188
82. 87516 115.91 99.36 (+16.5)#83 98.38 (+17.5)#6,288
83. 88415 115.89 99.36 (+16.5)#84 98.38 (+17.5)#6,295
84. 88325 115.44 99.36 (+16.1)#85 98.38 (+17.1)#6,443
85. 87728 114.93 99.36 (+15.6)#86 98.38 (+16.5)#6,611
86. 88008 114.33 99.36 (+15.0)#87 98.38 (+15.9)#6,831
87. 88020 114.32 99.36 (+15.0)#88 98.38 (+15.9)#6,833
88. 88347 114.29 99.36 (+14.9)#89 98.38 (+15.9)#6,864
89. 87732 113.90 99.36 (+14.5)#90 98.38 (+15.5)#6,987
90. 88065 113.73 99.36 (+14.4)#91 98.38 (+15.3)#7,065
91. 87935 113.42 99.36 (+14.1)#92 98.38 (+15.0)#7,179
92. 88027 113.25 99.36 (+13.9)#93 98.38 (+14.9)#7,234
93. 88116 113.02 99.36 (+13.7)#94 98.38 (+14.6)#7,314
94. 88310 112.94 99.36 (+13.6)#95 98.38 (+14.6)#7,337
95. 87046 112.75 99.36 (+13.4)#96 98.38 (+14.4)#7,406
96. 88344 112.50 99.36 (+13.1)#97 98.38 (+14.1)#7,522
97. 88081 112.42 99.36 (+13.1)#98 98.38 (+14.0)#7,551
98. 87527 112.32 99.36 (+13.0)#99 98.38 (+13.9)#7,597
99. 88410 111.86 99.36 (+12.5)#100 98.38 (+13.5)#7,797
100. 87043 110.89 99.36 (+11.5)#101 98.38 (+12.5)#8,223

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in New Mexico?
Top 10 Zip Codes with the Highest Male / Female Ratio in New Mexico are:
#1
604.55
#2
473.68
#3
468.29
#4
357.14
#5
357.14
#6
356.88
#7
333.33
#8
331.03
#9
277.92
#10
260.71
What zip code has the Highest Male / Female Ratio in New Mexico?
87028 has the Highest Male / Female Ratio in New Mexico with 604.55.
What is the Male to Female Ratio in the State of New Mexico?
Male to Female Ratio in New Mexico is 99.36.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.