Cities with the Most Births per 1,000 Women Below Poverty Level in North Dakota

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Highest Birth Rate | Below Poverty
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
North Dakota
Compare Cities
Comparison Subject

Map of Cities with the Most Births per 1,000 Women Below Poverty Level in North Dakota

0.0
1,000.0
Cities with the Most Births per 1,000 Women Below Poverty Level in North Dakota Map

Cities with the Most Births per 1,000 Women Below Poverty Level in North Dakota

City Births / 1,000 Women vs State vs National
1.Niagara1,000.068.0(+932)#153.0(+947)#73
2.Hamilton1,000.068.0(+932)#253.0(+947)#74
3.Regan966.068.0(+898)#353.0(+913)#87
4.Verona571.068.0(+503)#453.0(+518)#185
5.Medora500.068.0(+432)#553.0(+447)#228
6.Foxholm500.068.0(+432)#653.0(+447)#237
7.Bowdon484.068.0(+416)#753.0(+431)#255
8.Martin400.068.0(+332)#853.0(+347)#354
9.Wolford400.068.0(+332)#953.0(+347)#356
10.Monango400.068.0(+332)#1053.0(+347)#357
11.Douglas357.068.0(+289)#1153.0(+304)#428
12.Erie357.068.0(+289)#1253.0(+304)#430
13.Edinburg333.068.0(+265)#1353.0(+280)#490
14.Christine333.068.0(+265)#1453.0(+280)#492
15.Columbus333.068.0(+265)#1553.0(+280)#501
16.Regent308.068.0(+240)#1653.0(+255)#604
17.Egeland308.068.0(+240)#1753.0(+255)#607
18.Hurdsfield286.068.0(+218)#1853.0(+233)#704
19.Clifford278.068.0(+210)#1953.0(+225)#739
20.Drake257.068.0(+189)#2053.0(+204)#846
21.Willow City250.068.0(+182)#2153.0(+197)#896
22.Prairie Rose250.068.0(+182)#2253.0(+197)#907
23.Glen Ullin244.068.0(+176)#2353.0(+191)#931
24.Brooktree Park229.068.0(+161)#2453.0(+176)#1,054
25.East Dunseith227.068.0(+159)#2553.0(+174)#1,073
26.Fort Totten224.068.0(+156)#2653.0(+171)#1,101
27.Crary222.068.0(+154)#2753.0(+169)#1,127
28.Towner221.068.0(+153)#2853.0(+168)#1,140
29.Grenora217.068.0(+149)#2953.0(+164)#1,166
30.Tappen215.068.0(+147)#3053.0(+162)#1,184
31.Apple Valley205.068.0(+137)#3153.0(+152)#1,292
32.Dawson200.068.0(+132)#3253.0(+147)#1,353
33.Portal194.068.0(+126)#3353.0(+141)#1,421
34.Taylor185.068.0(+117)#3453.0(+132)#1,551
35.Page184.068.0(+116)#3553.0(+131)#1,565
36.Esmond182.068.0(+114)#3653.0(+129)#1,597
37.Portland169.068.0(+101)#3753.0(+116)#1,810
38.Hope169.068.0(+101)#3853.0(+116)#1,816
39.Sheyenne167.068.0(+99.0)#3953.0(+114)#1,863
40.North River167.068.0(+99.0)#4053.0(+114)#1,884
41.Mandaree163.068.0(+95.0)#4153.0(+110)#1,947
42.Cando162.068.0(+94.0)#4253.0(+109)#1,967
43.Surrey161.068.0(+93.0)#4353.0(+108)#1,985
44.Mott161.068.0(+93.0)#4453.0(+108)#1,994
45.Leeds157.068.0(+89.0)#4553.0(+104)#2,091
46.Max154.068.0(+86.0)#4653.0(+101)#2,175
47.Tioga153.068.0(+85.0)#4753.0(+100.0)#2,197
48.Hatton151.068.0(+83.0)#4853.0(+98.0)#2,258
49.White Shield150.068.0(+82.0)#4953.0(+97.0)#2,287
50.Stanley149.068.0(+81.0)#5053.0(+96.0)#2,306
51.Shell Valley149.068.0(+81.0)#5153.0(+96.0)#2,307
52.Trenton149.068.0(+81.0)#5253.0(+96.0)#2,323
53.Aneta148.068.0(+80.0)#5353.0(+95.0)#2,361
54.Reile S Acres145.068.0(+77.0)#5453.0(+92.0)#2,440
55.Underwood145.068.0(+77.0)#5553.0(+92.0)#2,441
56.Lincoln144.068.0(+76.0)#5653.0(+91.0)#2,464
57.Gladstone143.068.0(+75.0)#5753.0(+90.0)#2,532
58.Wyndmere140.068.0(+72.0)#5853.0(+87.0)#2,641
59.Washburn138.068.0(+70.0)#5953.0(+85.0)#2,689
60.Enderlin137.068.0(+69.0)#6053.0(+84.0)#2,730
61.Casselton136.068.0(+68.0)#6153.0(+83.0)#2,755
62.Abercrombie135.068.0(+67.0)#6253.0(+82.0)#2,802
63.Grafton134.068.0(+66.0)#6353.0(+81.0)#2,813
64.Grand Forks Afb133.068.0(+65.0)#6453.0(+80.0)#2,856
65.Harvey127.068.0(+59.0)#6553.0(+74.0)#3,134
66.Elgin126.068.0(+58.0)#6653.0(+73.0)#3,188
67.Kensal125.068.0(+57.0)#6753.0(+72.0)#3,232
68.Upham125.068.0(+57.0)#6853.0(+72.0)#3,240
69.Gackle120.068.0(+52.0)#6953.0(+67.0)#3,489
70.Bottineau115.068.0(+47.0)#7053.0(+62.0)#3,750
71.Minot Afb111.068.0(+43.0)#7153.0(+58.0)#3,971
72.Spiritwood Lake111.068.0(+43.0)#7253.0(+58.0)#4,040
73.Lamoure107.068.0(+39.0)#7353.0(+54.0)#4,279
74.Glenburn107.068.0(+39.0)#7453.0(+54.0)#4,283
75.Hoople105.068.0(+37.0)#7553.0(+52.0)#4,416
76.Edgeley103.068.0(+35.0)#7653.0(+50.0)#4,542
77.Belcourt102.068.0(+34.0)#7753.0(+49.0)#4,603
78.Dickinson101.068.0(+33.0)#7853.0(+48.0)#4,644
79.Watford City101.068.0(+33.0)#7953.0(+48.0)#4,662
80.Beulah101.068.0(+33.0)#8053.0(+48.0)#4,676
81.Kulm100.068.0(+32.0)#8153.0(+47.0)#4,783
82.Plaza100.068.0(+32.0)#8253.0(+47.0)#4,796
83.Epping100.068.0(+32.0)#8353.0(+47.0)#4,813
84.Rolette98.068.0(+30.0)#8453.0(+45.0)#4,957
85.Emerado98.068.0(+30.0)#8553.0(+45.0)#4,961
86.St Thomas98.068.0(+30.0)#8653.0(+45.0)#4,965
87.Finley98.068.0(+30.0)#8753.0(+45.0)#4,966
88.Kindred96.068.0(+28.0)#8853.0(+43.0)#5,137
89.Litchville94.068.0(+26.0)#8953.0(+41.0)#5,340
90.Wahpeton93.068.0(+25.0)#9053.0(+40.0)#5,356
91.South Heart93.068.0(+25.0)#9153.0(+40.0)#5,412
92.Turtle Lake92.068.0(+24.0)#9253.0(+39.0)#5,509
93.Northwood91.068.0(+23.0)#9353.0(+38.0)#5,566
94.New England91.068.0(+23.0)#9453.0(+38.0)#5,573
95.Pingree91.068.0(+23.0)#9553.0(+38.0)#5,614
96.Fullerton91.068.0(+23.0)#9653.0(+38.0)#5,616
97.Berlin91.068.0(+23.0)#9753.0(+38.0)#5,617
98.Reynolds90.068.0(+22.0)#9853.0(+37.0)#5,708
99.Berthold89.068.0(+21.0)#9953.0(+36.0)#5,797
100.Anamoose89.068.0(+21.0)#10053.0(+36.0)#5,803

Common Questions

What are the Top 10 Cities with the Most Births per 1,000 Women Below Poverty Level in North Dakota?
Top 10 Cities with the Most Births per 1,000 Women Below Poverty Level in North Dakota are:
#1
1,000.0
#2
1,000.0
#3
966.0
#4
571.0
#5
500.0
#6
500.0
#7
484.0
#8
400.0
#9
400.0
#10
400.0
What city has the Most Births per 1,000 Women Below Poverty Level in North Dakota?
Niagara has the Most Births per 1,000 Women Below Poverty Level in North Dakota with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of North Dakota?
Number of Births per 1,000 Women Below Poverty Level in North Dakota is 68.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.