Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in New York

RELATED REPORTS & OPTIONS

Highest Poverty | Girls 0-16
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 York
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in New York

0.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in New York Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in New York

Zip Code Child Poverty (Girls) vs State vs National
1.12733100.0%18.2%(+81.8)#117.0%(+83.0)#6
2.13616100.0%18.2%(+81.8)#217.0%(+83.0)#7
3.12734100.0%18.2%(+81.8)#317.0%(+83.0)#31
4.12433100.0%18.2%(+81.8)#417.0%(+83.0)#84
5.12475100.0%18.2%(+81.8)#517.0%(+83.0)#130
6.12778100.0%18.2%(+81.8)#617.0%(+83.0)#152
7.12480100.0%18.2%(+81.8)#717.0%(+83.0)#190
8.12439100.0%18.2%(+81.8)#817.0%(+83.0)#202
9.12965100.0%18.2%(+81.8)#917.0%(+83.0)#219
10.13103100.0%18.2%(+81.8)#1017.0%(+83.0)#246
11.13065100.0%18.2%(+81.8)#1117.0%(+83.0)#251
12.10535100.0%18.2%(+81.8)#1217.0%(+83.0)#258
13.14721100.0%18.2%(+81.8)#1317.0%(+83.0)#292
14.12973100.0%18.2%(+81.8)#1417.0%(+83.0)#301
15.13683100.0%18.2%(+81.8)#1517.0%(+83.0)#368
16.13643100.0%18.2%(+81.8)#1617.0%(+83.0)#372
17.14893100.0%18.2%(+81.8)#1717.0%(+83.0)#388
18.1249190.1%18.2%(+71.9)#1817.0%(+73.2)#438
19.1331488.6%18.2%(+70.4)#1917.0%(+71.6)#450
20.1195983.0%18.2%(+64.7)#2017.0%(+66.0)#532
21.1381082.5%18.2%(+64.3)#2117.0%(+65.5)#539
22.1275182.4%18.2%(+64.2)#2217.0%(+65.4)#542
23.1454981.9%18.2%(+63.7)#2317.0%(+65.0)#552
24.1386481.5%18.2%(+63.3)#2417.0%(+64.6)#561
25.1274180.0%18.2%(+61.8)#2517.0%(+63.0)#591
26.1450678.3%18.2%(+60.1)#2617.0%(+61.4)#629
27.1320278.0%18.2%(+59.8)#2717.0%(+61.0)#636
28.1430177.9%18.2%(+59.7)#2817.0%(+60.9)#639
29.1487877.1%18.2%(+58.9)#2917.0%(+60.2)#656
30.1246177.0%18.2%(+58.8)#3017.0%(+60.1)#657
31.1218375.9%18.2%(+57.7)#3117.0%(+59.0)#679
32.1420175.6%18.2%(+57.4)#3217.0%(+58.6)#685
33.1246372.3%18.2%(+54.1)#3317.0%(+55.3)#780
34.1285571.4%18.2%(+53.2)#3417.0%(+54.5)#800
35.1220770.5%18.2%(+52.3)#3517.0%(+53.5)#828
36.1215370.5%18.2%(+52.2)#3617.0%(+53.5)#829
37.1380270.1%18.2%(+51.9)#3717.0%(+53.2)#837
38.1241269.2%18.2%(+51.0)#3817.0%(+52.3)#872
39.1295669.0%18.2%(+50.8)#3917.0%(+52.1)#878
40.1283769.0%18.2%(+50.8)#4017.0%(+52.1)#879
41.1282168.8%18.2%(+50.5)#4117.0%(+51.8)#889
42.1481967.6%18.2%(+49.4)#4217.0%(+50.6)#925
43.1320466.9%18.2%(+48.7)#4317.0%(+49.9)#942
44.1248166.7%18.2%(+48.5)#4417.0%(+49.7)#950
45.1293566.1%18.2%(+47.9)#4517.0%(+49.1)#987
46.1486966.1%18.2%(+47.9)#4617.0%(+49.1)#988
47.1460565.4%18.2%(+47.2)#4717.0%(+48.5)#1,011
48.1278365.2%18.2%(+47.0)#4817.0%(+48.2)#1,020
49.1374461.7%18.2%(+43.5)#4917.0%(+44.8)#1,173
50.1489461.5%18.2%(+43.3)#5017.0%(+44.6)#1,183
51.1421260.5%18.2%(+42.3)#5117.0%(+43.5)#1,239
52.1478360.0%18.2%(+41.8)#5217.0%(+43.0)#1,271
53.1460859.9%18.2%(+41.7)#5317.0%(+42.9)#1,278
54.1366559.2%18.2%(+41.0)#5417.0%(+42.2)#1,317
55.1212558.9%18.2%(+40.7)#5517.0%(+42.0)#1,345
56.1362157.5%18.2%(+39.3)#5617.0%(+40.6)#1,439
57.1258557.1%18.2%(+38.9)#5717.0%(+40.2)#1,463
58.1378356.7%18.2%(+38.5)#5817.0%(+39.8)#1,503
59.1307656.5%18.2%(+38.3)#5917.0%(+39.5)#1,515
60.1220656.3%18.2%(+38.1)#6017.0%(+39.3)#1,529
61.1480356.2%18.2%(+38.0)#6117.0%(+39.3)#1,535
62.1336155.3%18.2%(+37.1)#6217.0%(+38.3)#1,596
63.1367055.0%18.2%(+36.8)#6317.0%(+38.0)#1,617
64.1120654.7%18.2%(+36.5)#6417.0%(+37.8)#1,638
65.1313654.7%18.2%(+36.5)#6517.0%(+37.7)#1,639
66.1413854.2%18.2%(+36.0)#6617.0%(+37.2)#1,681
67.1230754.2%18.2%(+36.0)#6717.0%(+37.2)#1,684
68.1473953.7%18.2%(+35.5)#6817.0%(+36.7)#1,713
69.1302953.5%18.2%(+35.2)#6917.0%(+36.5)#1,732
70.1045453.1%18.2%(+34.9)#7017.0%(+36.2)#1,758
71.1003553.0%18.2%(+34.8)#7117.0%(+36.0)#1,776
72.1045152.8%18.2%(+34.6)#7217.0%(+35.8)#1,793
73.1047452.5%18.2%(+34.3)#7317.0%(+35.6)#1,814
74.1320352.4%18.2%(+34.2)#7417.0%(+35.4)#1,830
75.1474052.4%18.2%(+34.2)#7517.0%(+35.4)#1,832
76.1461552.1%18.2%(+33.9)#7617.0%(+35.1)#1,862
77.1246652.1%18.2%(+33.9)#7717.0%(+35.1)#1,867
78.1307451.5%18.2%(+33.3)#7817.0%(+34.5)#1,922
79.1093351.3%18.2%(+33.1)#7917.0%(+34.3)#1,942
80.1368451.1%18.2%(+32.9)#8017.0%(+34.1)#1,964
81.1298950.7%18.2%(+32.5)#8117.0%(+33.7)#1,996
82.1046050.3%18.2%(+32.1)#8217.0%(+33.3)#2,024
83.1406550.2%18.2%(+32.0)#8317.0%(+33.3)#2,028
84.1272550.0%18.2%(+31.8)#8417.0%(+33.0)#2,069
85.1320849.9%18.2%(+31.7)#8517.0%(+32.9)#2,114
86.1379749.3%18.2%(+31.1)#8617.0%(+32.3)#2,154
87.1365449.3%18.2%(+31.1)#8717.0%(+32.3)#2,158
88.1272648.9%18.2%(+30.7)#8817.0%(+31.9)#2,196
89.1461148.8%18.2%(+30.6)#8917.0%(+31.8)#2,204
90.1218248.5%18.2%(+30.3)#9017.0%(+31.5)#2,241
91.1045748.4%18.2%(+30.2)#9117.0%(+31.4)#2,248
92.1364648.3%18.2%(+30.1)#9217.0%(+31.3)#2,257
93.1347048.1%18.2%(+29.9)#9317.0%(+31.1)#2,271
94.1365547.9%18.2%(+29.7)#9417.0%(+30.9)#2,292
95.1095247.5%18.2%(+29.3)#9517.0%(+30.6)#2,327
96.1286047.4%18.2%(+29.2)#9617.0%(+30.4)#2,347
97.1281046.8%18.2%(+28.6)#9717.0%(+29.8)#2,410
98.1320546.5%18.2%(+28.3)#9817.0%(+29.5)#2,442
99.1480946.5%18.2%(+28.2)#9917.0%(+29.5)#2,446
100.1311546.4%18.2%(+28.2)#10017.0%(+29.5)#2,451

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in New York?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in New York are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in New York?
12733 has the Highest Child Poverty Level Among Girls Under the Age of 16 in New York with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of New York?
Poverty Level Among Girls Under the Age of 16 in New York is 18.2%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.