Zip Codes with the Highest Poverty Level Among Married Couples in the United States

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Highest Poverty | Married Couple
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
United States
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Married Couples in the United States

50.0%
100.0%
Zip Codes with the Highest Poverty Level Among Married Couples in the United States Map

Zip Codes with the Highest Poverty Level Among Married Couples in the United States

Zip Code Married Couples Poverty vs State vs National
1.16501, Pennsylvania100.0%3.4%(+96.6)#14.5%(+95.5)#1
2.44503, Ohio100.0%3.6%(+96.4)#14.5%(+95.5)#2
3.87941, New Mexico100.0%7.8%(+92.2)#14.5%(+95.5)#3
4.57794, South Dakota100.0%3.4%(+96.6)#14.5%(+95.5)#4
5.57756, South Dakota100.0%3.4%(+96.6)#24.5%(+95.5)#5
6.28330, North Carolina100.0%4.6%(+95.4)#14.5%(+95.5)#6
7.87583, New Mexico100.0%7.8%(+92.2)#24.5%(+95.5)#7
8.41663, Kentucky100.0%6.1%(+93.9)#14.5%(+95.5)#8
9.70082, Louisiana100.0%5.8%(+94.2)#14.5%(+95.5)#9
10.24846, West Virginia100.0%6.5%(+93.5)#14.5%(+95.5)#10
11.89828, Nevada100.0%5.1%(+94.9)#14.5%(+95.5)#11
12.41845, Kentucky100.0%6.1%(+93.9)#24.5%(+95.5)#12
13.24880, West Virginia100.0%6.5%(+93.5)#24.5%(+95.5)#13
14.72528, Arkansas100.0%5.8%(+94.2)#14.5%(+95.5)#14
15.37396, Tennessee100.0%5.0%(+95.0)#14.5%(+95.5)#15
16.15447, Pennsylvania100.0%3.4%(+96.6)#24.5%(+95.5)#16
17.65777, Missouri100.0%4.1%(+95.9)#14.5%(+95.5)#17
18.75934, Texas100.0%6.0%(+94.0)#14.5%(+95.5)#18
19.77453, Texas100.0%6.0%(+94.0)#24.5%(+95.5)#19
20.25907, West Virginia100.0%6.5%(+93.5)#34.5%(+95.5)#20
21.25879, West Virginia100.0%6.5%(+93.5)#44.5%(+95.5)#21
22.65449, Missouri100.0%4.1%(+95.9)#24.5%(+95.5)#22
23.18457, Pennsylvania100.0%3.4%(+96.6)#34.5%(+95.5)#23
24.99788, Alaska100.0%3.5%(+96.5)#14.5%(+95.5)#24
25.95986, California100.0%5.2%(+94.8)#14.5%(+95.5)#25
26.24848, West Virginia100.0%6.5%(+93.5)#54.5%(+95.5)#26
27.36901, Alabama100.0%5.1%(+94.9)#14.5%(+95.5)#27
28.42124, Kentucky100.0%6.1%(+93.9)#34.5%(+95.5)#28
29.96136, California100.0%5.2%(+94.8)#24.5%(+95.5)#29
30.04926, Maine100.0%3.2%(+96.8)#14.5%(+95.5)#30
31.79846, Texas100.0%6.0%(+94.0)#34.5%(+95.5)#31
32.85341, Arizona100.0%5.4%(+94.6)#14.5%(+95.5)#32
33.82332, Wyoming100.0%3.4%(+96.6)#14.5%(+95.5)#33
34.97329, Oregon100.0%4.1%(+95.9)#14.5%(+95.5)#34
35.24884, West Virginia100.0%6.5%(+93.5)#64.5%(+95.5)#35
36.96132, California100.0%5.2%(+94.8)#34.5%(+95.5)#36
37.97909, Oregon100.0%4.1%(+95.9)#24.5%(+95.5)#37
38.36910, Alabama100.0%5.1%(+94.9)#24.5%(+95.5)#38
39.35577, Alabama100.0%5.1%(+94.9)#34.5%(+95.5)#39
40.79376, Texas90.9%6.0%(+84.9)#44.5%(+86.4)#40
41.89054, Nevada84.7%5.1%(+79.7)#24.5%(+80.3)#41
42.72524, Arkansas82.0%5.8%(+76.2)#24.5%(+77.5)#42
43.26627, West Virginia82.0%6.5%(+75.4)#74.5%(+77.5)#43
44.71466, Louisiana81.9%5.8%(+76.1)#24.5%(+77.4)#44
45.87729, New Mexico81.8%7.8%(+74.0)#34.5%(+77.3)#45
46.41607, Kentucky81.5%6.1%(+75.4)#44.5%(+77.0)#46
47.41745, Kentucky81.2%6.1%(+75.1)#54.5%(+76.8)#47
48.57639, South Dakota80.0%3.4%(+76.6)#34.5%(+75.5)#48
49.65664, Missouri80.0%4.1%(+75.9)#34.5%(+75.5)#49
50.68375, Nebraska78.6%3.2%(+75.3)#14.5%(+74.1)#50
51.27861, North Carolina78.6%4.6%(+74.0)#24.5%(+74.1)#51
52.12733, New York78.5%5.3%(+73.2)#14.5%(+74.0)#52
53.74071, Oklahoma77.4%5.6%(+71.8)#14.5%(+72.9)#53
54.45741, Ohio77.3%3.6%(+73.6)#24.5%(+72.8)#54
55.40110, Kentucky75.8%6.1%(+69.6)#64.5%(+71.3)#55
56.73551, Oklahoma75.0%5.6%(+69.4)#24.5%(+70.5)#56
57.25103, West Virginia74.1%6.5%(+67.5)#84.5%(+69.6)#57
58.87018, New Mexico73.4%7.8%(+65.6)#44.5%(+68.9)#58
59.24132, Virginia73.3%3.2%(+70.2)#14.5%(+68.9)#59
60.66522, Kansas72.7%3.8%(+69.0)#14.5%(+68.2)#60
61.57621, South Dakota71.4%3.4%(+68.1)#44.5%(+66.9)#61
62.73946, Oklahoma71.4%5.6%(+65.8)#34.5%(+66.9)#62
63.59933, Montana71.4%4.2%(+67.3)#14.5%(+66.9)#63
64.57571, South Dakota71.4%3.4%(+68.1)#54.5%(+66.9)#64
65.67071, Kansas70.9%3.8%(+67.1)#24.5%(+66.4)#65
66.73050, Oklahoma70.4%5.6%(+64.7)#44.5%(+65.9)#66
67.77585, Texas69.9%6.0%(+63.9)#54.5%(+65.4)#67
68.67364, Kansas69.3%3.8%(+65.5)#34.5%(+64.8)#68
69.79078, Texas69.2%6.0%(+63.3)#64.5%(+64.8)#69
70.93261, California69.0%5.2%(+63.8)#44.5%(+64.5)#70
71.79314, Texas67.6%6.0%(+61.6)#74.5%(+63.1)#71
72.85121, Arizona67.2%5.4%(+61.9)#24.5%(+62.8)#72
73.57473, South Dakota66.7%3.4%(+63.3)#64.5%(+62.2)#73
74.30751, Georgia66.7%5.0%(+61.7)#14.5%(+62.2)#74
75.99569, Alaska66.7%3.5%(+63.1)#24.5%(+62.2)#75
76.99136, Washington66.7%3.2%(+63.4)#14.5%(+62.2)#76
77.59312, Montana66.7%4.2%(+62.5)#24.5%(+62.2)#77
78.41365, Kentucky66.3%6.1%(+60.2)#74.5%(+61.8)#78
79.47035, Indiana66.2%3.7%(+62.5)#14.5%(+61.7)#79
80.25916, West Virginia65.6%6.5%(+59.0)#94.5%(+61.1)#80
81.57574, South Dakota65.3%3.4%(+61.9)#74.5%(+60.8)#81
82.16802, Pennsylvania65.0%3.4%(+61.6)#44.5%(+60.5)#82
83.42047, Kentucky65.0%6.1%(+58.9)#84.5%(+60.5)#83
84.41214, Kentucky64.6%6.1%(+58.4)#94.5%(+60.1)#84
85.65735, Missouri64.3%4.1%(+60.2)#44.5%(+59.8)#85
86.70736, Louisiana63.6%5.8%(+57.9)#34.5%(+59.2)#86
87.41819, Kentucky63.4%6.1%(+57.2)#104.5%(+58.9)#87
88.40939, Kentucky62.9%6.1%(+56.7)#114.5%(+58.4)#88
89.14549, New York61.9%5.3%(+56.6)#24.5%(+57.4)#89
90.98647, Washington61.8%3.2%(+58.6)#24.5%(+57.3)#90
91.28448, North Carolina61.5%4.6%(+56.9)#34.5%(+57.1)#91
92.76827, Texas61.3%6.0%(+55.3)#84.5%(+56.8)#92
93.45630, Ohio60.9%3.6%(+57.3)#34.5%(+56.5)#93
94.24657, Virginia60.9%3.2%(+57.7)#24.5%(+56.4)#94
95.83235, Idaho60.5%4.5%(+55.9)#14.5%(+56.0)#95
96.68929, Nebraska60.5%3.2%(+57.2)#24.5%(+56.0)#96
97.57622, South Dakota60.0%3.4%(+56.6)#84.5%(+55.5)#97
98.36773, Alabama60.0%5.1%(+54.9)#44.5%(+55.5)#98
99.99722, Alaska60.0%3.5%(+56.5)#34.5%(+55.5)#99
100.21542, Maryland60.0%2.8%(+57.2)#14.5%(+55.5)#100

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Married Couples in the United States?
Top 10 Zip Codes with the Highest Poverty Level Among Married Couples in the United States are:
What zip code has the Highest Poverty Level Among Married Couples in the United States?
16501 has the Highest Poverty Level Among Married Couples in the United States with 100.0%.
What is the Poverty Level Among Married Couples in the United States?
Poverty Level Among Married Couples in the United States is 4.5%.