Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota [ 101 - 200 ]

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Lowest 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
North Dakota
Compare Zip Codes
Comparison Subject

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota

Zip Code Births / 1,000 Women vs State vs National
101. 58267 73.0 59.0 (+14.0)#101 48.0 (+25.0)#17,056
102. 58503 74.0 59.0 (+15.0)#102 48.0 (+26.0)#17,102
103. 58038 74.0 59.0 (+15.0)#103 48.0 (+26.0)#17,247
104. 58746 75.0 59.0 (+16.0)#104 48.0 (+27.0)#17,347
105. 58653 76.0 59.0 (+17.0)#105 48.0 (+28.0)#17,510
106. 58271 76.0 59.0 (+17.0)#106 48.0 (+28.0)#17,512
107. 58047 77.0 59.0 (+18.0)#107 48.0 (+29.0)#17,593
108. 58845 77.0 59.0 (+18.0)#108 48.0 (+29.0)#17,637
109. 58572 77.0 59.0 (+18.0)#109 48.0 (+29.0)#17,641
110. 58329 78.0 59.0 (+19.0)#110 48.0 (+30.0)#17,740
111. 58741 78.0 59.0 (+19.0)#111 48.0 (+30.0)#17,778
112. 58258 80.0 59.0 (+21.0)#112 48.0 (+32.0)#18,012
113. 58332 80.0 59.0 (+21.0)#113 48.0 (+32.0)#18,013
114. 58240 81.0 59.0 (+22.0)#114 48.0 (+33.0)#18,113
115. 58575 83.0 59.0 (+24.0)#115 48.0 (+35.0)#18,345
116. 58656 83.0 59.0 (+24.0)#116 48.0 (+35.0)#18,360
117. 58241 83.0 59.0 (+24.0)#117 48.0 (+35.0)#18,366
118. 58075 84.0 59.0 (+25.0)#118 48.0 (+36.0)#18,413
119. 58540 84.0 59.0 (+25.0)#119 48.0 (+36.0)#18,437
120. 58421 85.0 59.0 (+26.0)#120 48.0 (+37.0)#18,535
121. 58078 87.0 59.0 (+28.0)#121 48.0 (+39.0)#18,674
122. 58045 87.0 59.0 (+28.0)#122 48.0 (+39.0)#18,742
123. 58487 87.0 59.0 (+28.0)#123 48.0 (+39.0)#18,763
124. 58737 88.0 59.0 (+29.0)#124 48.0 (+40.0)#18,865
125. 58523 89.0 59.0 (+30.0)#125 48.0 (+41.0)#18,926
126. 58425 89.0 59.0 (+30.0)#126 48.0 (+41.0)#18,954
127. 58763 90.0 59.0 (+31.0)#127 48.0 (+42.0)#19,013
128. 58416 91.0 59.0 (+32.0)#128 48.0 (+43.0)#19,135
129. 58277 91.0 59.0 (+32.0)#129 48.0 (+43.0)#19,147
130. 58230 92.0 59.0 (+33.0)#130 48.0 (+44.0)#19,221
131. 58428 94.0 59.0 (+35.0)#131 48.0 (+46.0)#19,366
132. 58243 95.0 59.0 (+36.0)#132 48.0 (+47.0)#19,421
133. 58251 96.0 59.0 (+37.0)#133 48.0 (+48.0)#19,477
134. 58735 97.0 59.0 (+38.0)#134 48.0 (+49.0)#19,571
135. 58704 98.0 59.0 (+39.0)#135 48.0 (+50.0)#19,604
136. 58327 100.0 59.0 (+41.0)#136 48.0 (+52.0)#19,760
137. 58041 101.0 59.0 (+42.0)#137 48.0 (+53.0)#19,816
138. 58204 103.0 59.0 (+44.0)#138 48.0 (+55.0)#19,934
139. 58655 104.0 59.0 (+45.0)#139 48.0 (+56.0)#20,008
140. 58064 104.0 59.0 (+45.0)#140 48.0 (+56.0)#20,009
141. 58424 105.0 59.0 (+46.0)#141 48.0 (+57.0)#20,071
142. 58384 105.0 59.0 (+46.0)#142 48.0 (+57.0)#20,074
143. 58552 108.0 59.0 (+49.0)#143 48.0 (+60.0)#20,197
144. 58027 109.0 59.0 (+50.0)#144 48.0 (+61.0)#20,248
145. 58341 111.0 59.0 (+52.0)#145 48.0 (+63.0)#20,342
146. 58356 111.0 59.0 (+52.0)#146 48.0 (+63.0)#20,350
147. 58036 111.0 59.0 (+52.0)#147 48.0 (+63.0)#20,375
148. 58581 111.0 59.0 (+52.0)#148 48.0 (+63.0)#20,377
149. 58758 111.0 59.0 (+52.0)#149 48.0 (+63.0)#20,380
150. 58238 111.0 59.0 (+52.0)#150 48.0 (+63.0)#20,387
151. 58318 114.0 59.0 (+55.0)#151 48.0 (+66.0)#20,477
152. 58632 118.0 59.0 (+59.0)#152 48.0 (+70.0)#20,671
153. 58069 120.0 59.0 (+61.0)#153 48.0 (+72.0)#20,752
154. 58849 122.0 59.0 (+63.0)#154 48.0 (+74.0)#20,803
155. 58533 123.0 59.0 (+64.0)#155 48.0 (+75.0)#20,843
156. 58852 124.0 59.0 (+65.0)#156 48.0 (+76.0)#20,867
157. 58463 125.0 59.0 (+66.0)#157 48.0 (+77.0)#20,903
158. 58256 129.0 59.0 (+70.0)#158 48.0 (+81.0)#21,051
159. 58261 130.0 59.0 (+71.0)#159 48.0 (+82.0)#21,071
160. 58577 134.0 59.0 (+75.0)#160 48.0 (+86.0)#21,181
161. 58237 136.0 59.0 (+77.0)#161 48.0 (+88.0)#21,227
162. 58346 138.0 59.0 (+79.0)#162 48.0 (+90.0)#21,299
163. 58650 138.0 59.0 (+79.0)#163 48.0 (+90.0)#21,302
164. 58051 140.0 59.0 (+81.0)#164 48.0 (+92.0)#21,350
165. 58631 140.0 59.0 (+81.0)#165 48.0 (+92.0)#21,358
166. 58736 140.0 59.0 (+81.0)#166 48.0 (+92.0)#21,360
167. 58710 143.0 59.0 (+84.0)#167 48.0 (+95.0)#21,428
168. 58379 143.0 59.0 (+84.0)#168 48.0 (+95.0)#21,435
169. 58464 143.0 59.0 (+84.0)#169 48.0 (+95.0)#21,439
170. 58785 144.0 59.0 (+85.0)#170 48.0 (+96.0)#21,457
171. 58455 145.0 59.0 (+86.0)#171 48.0 (+97.0)#21,475
172. 58259 147.0 59.0 (+88.0)#172 48.0 (+99.0)#21,521
173. 58001 147.0 59.0 (+88.0)#173 48.0 (+99.0)#21,523
174. 58544 149.0 59.0 (+90.0)#174 48.0 (+101)#21,562
175. 58081 150.0 59.0 (+91.0)#175 48.0 (+102)#21,580
176. 58561 152.0 59.0 (+93.0)#176 48.0 (+104)#21,614
177. 58472 154.0 59.0 (+95.0)#177 48.0 (+106)#21,645
178. 58210 154.0 59.0 (+95.0)#178 48.0 (+106)#21,647
179. 58538 155.0 59.0 (+96.0)#179 48.0 (+107)#21,662
180. 58344 158.0 59.0 (+99.0)#180 48.0 (+110)#21,715
181. 58639 159.0 59.0 (+100.0)#181 48.0 (+111)#21,740
182. 58646 159.0 59.0 (+100.0)#182 48.0 (+111)#21,744
183. 58566 162.0 59.0 (+103)#183 48.0 (+114)#21,799
184. 58012 167.0 59.0 (+108)#184 48.0 (+119)#21,849
185. 58324 167.0 59.0 (+108)#185 48.0 (+119)#21,857
186. 58541 169.0 59.0 (+110)#186 48.0 (+121)#21,911
187. 58348 171.0 59.0 (+112)#187 48.0 (+123)#21,941
188. 58576 176.0 59.0 (+117)#188 48.0 (+128)#22,007
189. 58274 176.0 59.0 (+117)#189 48.0 (+128)#22,008
190. 58784 196.0 59.0 (+137)#190 48.0 (+148)#22,203
191. 58768 200.0 59.0 (+141)#191 48.0 (+152)#22,253
192. 58229 200.0 59.0 (+141)#192 48.0 (+152)#22,277
193. 58788 213.0 59.0 (+154)#193 48.0 (+165)#22,365
194. 58838 214.0 59.0 (+155)#194 48.0 (+166)#22,375
195. 58490 222.0 59.0 (+163)#195 48.0 (+174)#22,436
196. 58755 230.0 59.0 (+171)#196 48.0 (+182)#22,489
197. 58227 231.0 59.0 (+172)#197 48.0 (+183)#22,492
198. 58335 250.0 59.0 (+191)#198 48.0 (+202)#22,587
199. 58645 261.0 59.0 (+202)#199 48.0 (+213)#22,647
200. 58549 263.0 59.0 (+204)#200 48.0 (+215)#22,656