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Demographic Comparison

Population

Highest Population Highest Population Density Lowest Population Density Male / Female Ratio Female / Male Ratio Oldest Population Oldest Population | Male Oldest Population | Female Youngest Population Youngest Population | Male Youngest Population | Female

Families and Households

Largest Family Size Largest Household Size Smallest Family Size Smallest Household Size

Female Fertility

Highest Birth Rate | All Women Highest Birth Rate | Women 15-19Highest Birth Rate | Women 35+Highest Birth Rate | Below Poverty Highest Birth Rate | Public Income Highest Birth Rate | In Labor Force Lowest Birth Rate | All Women Lowest Birth Rate | Women 15-19 Lowest Birth Rate | Women 35+Lowest Birth Rate | Below Poverty Lowest Birth Rate | Public Income Lowest Birth Rate | In Labor Force

Female Fertility (Unmarried)

Highest Illegitimacy | All Women Highest Illegitimacy | Women 15-19 Highest Illegitimacy | Women 35+Lowest Illegitimacy | All Women Lowest Illegitimacy | Women 15-19 Lowest Illegitimacy | Women 35+

Race (Community Size)

Asian Black / African American Hawaiian / Pacific Hispanic or Latino Native / Alaskan White / Caucasian

Race (Percentage)

Asian Black / African American Hawaiian / Pacific Hispanic or Latino Native / Alaskan White / Caucasian

Ancestry (Community Size)

Afghan African Alaska Native Alaskan Athabascan Albanian Aleut Alsatian American Apache Arab Arapaho Argentinean Armenian Assyrian / Chaldean / Syriac Australian Austrian Bahamian Bangladeshi Barbadian Basque Belgian Belizean Bermudan Bhutanese Blackfeet Bolivian Brazilian British British West Indian Bulgarian Burmese Cajun Cambodian Canadian Cape Verdean Carpatho Rusyn Celtic Central American Central American Indian Cherokee Cheyenne Chickasaw Chilean Chinese Chippewa Choctaw Colombian Colville Comanche Costa Rican Cree Creek Croatian Crow Cuban Cypriot Czech Czechoslovakian Danish Delaware Dominican Dutch Dutch West Indian Eastern European Ecuadorian Egyptian English Estonian Ethiopian European Fijian Filipino Finnish French French American Indian French Canadian German German Russian Ghanaian Greek Guamanian / Chamorro Guatemalan Guyanese Haitian Hmong Honduran Hopi Houma Hungarian Icelander Indian (Asian)Indonesian Inupiat Iranian Iraqi Irish Iroquois Israeli Italian Jamaican Japanese Jordanian Kenyan Kiowa Korean Laotian Latvian Lebanese Liberian Lithuanian Lumbee Luxembourger Macedonian Malaysian Maltese Marshallese Menominee Mexican Mexican American Indian Mongolian Moroccan Native Hawaiian Navajo Nepalese New Zealander Nicaraguan Nigerian Northern European Norwegian Okinawan Osage Ottawa Paiute Pakistani Palestinian Panamanian Paraguayan Pennsylvania German Peruvian Pima Polish Portuguese Potawatomi Pueblo Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Seminole Senegalese Serbian Shoshone Sierra Leonean Sioux Slavic Slovak Slovene Somali South African South American South American Indian Soviet Union Spaniard Spanish Spanish American Spanish American Indian Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Taiwanese Thai Tlingit-Haida Tohono O'Odham Tongan Trinidadian and Tobagonian Tsimshian Turkish U.S. Virgin Islander Ugandan Ukrainian Uruguayan Ute Venezuelan Vietnamese Welsh West Indian Yakama Yaqui Yugoslavian Yuman Yup'ik Zimbabwean

Ancestry (Percentage)

Afghan African Alaska Native Alaskan Athabascan Albanian Aleut Alsatian American Apache Arab Arapaho Argentinean Armenian Assyrian / Chaldean / Syriac Australian Austrian Bahamian Bangladeshi Barbadian Basque Belgian Belizean Bermudan Bhutanese Blackfeet Bolivian Brazilian British British West Indian Bulgarian Burmese Cajun Cambodian Canadian Cape Verdean Carpatho Rusyn Celtic Central American Central American Indian Cherokee Cheyenne Chickasaw Chilean Chinese Chippewa Choctaw Colombian Colville Comanche Costa Rican Cree Creek Croatian Crow Cuban Cypriot Czech Czechoslovakian Danish Delaware Dominican Dutch Dutch West Indian Eastern European Ecuadorian Egyptian English Estonian Ethiopian European Fijian Filipino Finnish French French American Indian French Canadian German German Russian Ghanaian Greek Guamanian / Chamorro Guatemalan Guyanese Haitian Hmong Honduran Hopi Houma Hungarian Icelander Indian (Asian)Indonesian Inupiat Iranian Iraqi Irish Iroquois Israeli Italian Jamaican Japanese Jordanian Kenyan Kiowa Korean Laotian Latvian Lebanese Liberian Lithuanian Lumbee Luxembourger Macedonian Malaysian Maltese Marshallese Menominee Mexican Mexican American Indian Mongolian Moroccan Native Hawaiian Navajo Nepalese New Zealander Nicaraguan Nigerian Northern European Norwegian Okinawan Osage Ottawa Paiute Pakistani Palestinian Panamanian Paraguayan Pennsylvania German Peruvian Pima Polish Portuguese Potawatomi Pueblo Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Seminole Senegalese Serbian Shoshone Sierra Leonean Sioux Slavic Slovak Slovene Somali South African South American South American Indian Soviet Union Spaniard Spanish Spanish American Spanish American Indian Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Taiwanese Thai Tlingit-Haida Tohono O'Odham Tongan Trinidadian and Tobagonian Tsimshian Turkish U.S. Virgin Islander Ugandan Ukrainian Uruguayan Ute Venezuelan Vietnamese Welsh West Indian Yakama Yaqui Yugoslavian Yuman Yup'ik Zimbabwean

Immigrant Origin (Total)

Afghanistan Africa Albania Argentina Armenia Asia Australia Austria Azores Bahamas Bangladesh Barbados Belarus Belgium Belize Bolivia Bosnia and Herzegovina Brazil Bulgaria Burma / Myanmar Cabo Verde Cambodia Cameroon Canada Caribbean Central America Chile China Colombia Congo Costa Rica Croatia Cuba Czechoslovakia Denmark Dominica Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Eritrea Ethiopia Europe Fiji France Germany Ghana Greece Grenada Guatemala Guyana Haiti Honduras Hong Kong Hungary India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea Kuwait Laos Latin America Latvia Lebanon Liberia Lithuania Malaysia Mexico Micronesia Middle Africa Moldova Morocco Nepal Netherlands Nicaragua Nigeria North Macedonia Northern Africa Northern Europe Norway Oceania Pakistan Panama Peru Philippines Poland Portugal Romania Russia Saudi Arabia Scotland Senegal Serbia Sierra Leone Singapore Somalia South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sri Lanka St. Vincent and the Grenadines Sudan Sweden Switzerland Syria Taiwan Thailand Trinidad and Tobago Turkey Uganda Ukraine Uruguay Uzbekistan Venezuela Vietnam West Indies Western Africa Western Asia Western Europe Yemen Zaire Zimbabwe

Immigrant Origin (Percentage)

Afghanistan Africa Albania Argentina Armenia Asia Australia Austria Azores Bahamas Bangladesh Barbados Belarus Belgium Belize Bolivia Bosnia and Herzegovina Brazil Bulgaria Burma / Myanmar Cabo Verde Cambodia Cameroon Canada Caribbean Central America Chile China Colombia Congo Costa Rica Croatia Cuba Czechoslovakia Denmark Dominica Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Eritrea Ethiopia Europe Fiji France Germany Ghana Greece Grenada Guatemala Guyana Haiti Honduras Hong Kong Hungary India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea Kuwait Laos Latin America Latvia Lebanon Liberia Lithuania Malaysia Mexico Micronesia Middle Africa Moldova Morocco Nepal Netherlands Nicaragua Nigeria North Macedonia Northern Africa Northern Europe Norway Oceania Pakistan Panama Peru Philippines Poland Portugal Romania Russia Saudi Arabia Scotland Senegal Serbia Sierra Leone Singapore Somalia South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sri Lanka St. Vincent and the Grenadines Sudan Sweden Switzerland Syria Taiwan Thailand Trinidad and Tobago Turkey Uganda Ukraine Uruguay Uzbekistan Venezuela Vietnam West Indies Western Africa Western Asia Western Europe Yemen Zaire Zimbabwe

Economic Comparison

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Highest Inequality / Gini Index Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)Lowest Inequality / Gini Index

Income (Families)

Highest Family Income Lowest Family Income Family Income | $0-10k Family Income | $100k+Family Income | $200k+

Income (Households)

Highest Household Income Lowest Household Income Household Income | $0-10k Household Income | $200k+Household Income | $100k+

Poverty

Highest Poverty Highest Poverty | Male Highest Poverty | Female Highest Poverty | Female 18-24 Highest Poverty | Female 25-34 Highest Poverty | Child 0-5 Highest Poverty | Child 0-16 Highest Poverty | Boys 0-16 Highest Poverty | Girls 0-16 Highest Poverty | Seniors 65+Highest Poverty | Seniors 75+ Lowest Poverty Lowest Poverty | Male Lowest Poverty | Female Lowest Poverty | Child 0-5 Lowest Poverty | Child 0-16 Lowest Poverty | Boys 0-16 Lowest Poverty | Girls 0-16 Lowest Poverty | Seniors 65+Lowest Poverty | Seniors 75+

Poverty (Families)

Highest Family Poverty Highest Poverty | Married Couple Highest Poverty | Single Male Highest Poverty | Single Female Highest Poverty | Single Father Highest Poverty | Single Mother Lowest Family Poverty Lowest Poverty | Married Couple Lowest Poverty | Single Male Lowest Poverty | Single Female Lowest Poverty | Single Father Lowest Poverty | Single Mother

Unemployment

Highest Unemployment Highest Unemployment | Male Highest Unemployment | Female Highest Unemployment | Youth < 25 Highest Unemployment | Senior > 65 Lowest Unemployment Lowest Unemployment | Male Lowest Unemployment | Female Lowest Unemployment | Youth < 25 Lowest Unemployment | Senior > 65

Employment Occupations

Architecture & Engineering Arts, Media & Entertainment Business & Financial Cleaning & Maintenance Community & Social Service Computer & Mathematics Computer, Engineering & Science Construction & Extraction Education Instruction & Library Education, Arts & Media Farming, Fishing & Forestry Firefighting & Prevention Food Preparation & Serving Health Diagnosing & Treating Health Technologists Healthcare Support Installation, Maintenance & Repair Law Enforcement Legal Services & Support Life, Physical & Social Science Management Material Moving Office & Administration Personal Care and Service Production Sales & Related Security & Protection Transportation

Employment Industries

Accommodation & Food Services Administrative & Support Services Agriculture, Fishing & Hunting Arts, Entertainment & Recreation Construction Educational Services Enterprise Management Finance & Insurance Health Care & Social Assistance Information & Technology Manufacturing Mining, Quarrying, & Extraction Professional & Scientific Services Public Administration Real Estate, Rental & Leasing Retail Trade Transportation & Warehousing Utilities Wholesale Trade

Employer Class

Private Company Employees Self-Employed / Incorporated Self-Employed / Not Incorporated Not-for-profit Organizations Local Government Employees State Government Employees Federal Government Employees Unpaid Family Workers

Commute Time

Longest Commute Longest Commute | Male Longest Commute | Female Shortest Commute Shortest Commute | Male Shortest Commute | Female

Commute Means

Drive | Alone Drive | Carpool Public Transit Taxi / Cab Walk to Work Work from Home

Education Comparison

School Enrollment

In Private School Nursery / Preschool Kindergarten Elementary School Middle School High School College University

Education by Degree Field

Computers and Mathematics Bio, Nature & Agricultural Physical and Health Sciences Psychology Social Sciences Engineering Multidisciplinary Studies Science and Engineering Business Education Literature and Languages Liberal Arts and History Visual and Performing Arts Communications Arts and Humanities

Housing Comparison

Occupancy

Highest Owner-Occupied Highest Renter-Occupied Lowest Owner-Occupied Lowest Renter-Occupied

Finances

Highest Median Housing Costs Highest Property Prices Highest Owner Housing Costs Highest Renter Housing Costs Highest Housing Costs / Income Lowest Median Housing Costs Lowest Property Prices Lowest Owner Housing Costs Lowest Renter Housing Costs Lowest Housing Costs / Income

Physical Characteristics

Detached Home Residency Condo/Apartment Residency Utility Gas Heating Bottled Gas / LP Heating Electrical Heating Fuel Oil Heating Coal / Coke Heating Fuel-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New York

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Common Questions Comparison Map Comparison Data

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New York?

Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New York are:

#1

1,000.0

#2

686.0

#3

594.0

#4

571.0

#5

500.0

#6

500.0

#7

447.0

#8

383.0

#9

364.0

#10

340.0

What zip code has the Most Births per 1,000 Women Over the Age of 35 in New York?

14853 has the Most Births per 1,000 Women Over the Age of 35 in New York with 1,000.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in the State of New York?

Number of Births per 1,000 Women Over the Age of 35 in New York is 37.0.

What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?

Number of Births per 1,000 Women Over the Age of 35 in the United States is 31.0.

Map of Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New York

0.0

1,000.0

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New York Map

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New York

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in New York Chart

	Zip Code	Births / 1,000 Women	vs State	vs National
1.	14853	1,000.0	37.0(+963)#1	31.0(+969)#1
2.	12732	686.0	37.0(+649)#2	31.0(+655)#47
3.	14480	594.0	37.0(+557)#3	31.0(+563)#62
4.	12190	571.0	37.0(+534)#4	31.0(+540)#70
5.	12932	500.0	37.0(+463)#5	31.0(+469)#83
6.	13786	500.0	37.0(+463)#6	31.0(+469)#86
7.	12989	447.0	37.0(+410)#7	31.0(+416)#112
8.	14069	383.0	37.0(+346)#8	31.0(+352)#149
9.	12852	364.0	37.0(+327)#9	31.0(+333)#166
10.	12746	340.0	37.0(+303)#10	31.0(+309)#177
11.	13328	283.0	37.0(+246)#11	31.0(+252)#234
12.	11109	259.0	37.0(+222)#12	31.0(+228)#278
13.	13655	257.0	37.0(+220)#13	31.0(+226)#283
14.	12409	253.0	37.0(+216)#14	31.0(+222)#289
15.	13485	250.0	37.0(+213)#15	31.0(+219)#292
16.	13450	250.0	37.0(+213)#16	31.0(+219)#301
17.	11548	241.0	37.0(+204)#17	31.0(+210)#317
18.	12740	238.0	37.0(+201)#18	31.0(+207)#326
19.	14040	235.0	37.0(+198)#19	31.0(+204)#332
20.	12843	232.0	37.0(+195)#20	31.0(+201)#339
21.	12485	229.0	37.0(+192)#21	31.0(+198)#348
22.	12956	222.0	37.0(+185)#22	31.0(+191)#365
23.	11960	214.0	37.0(+177)#23	31.0(+183)#390
24.	10952	212.0	37.0(+175)#24	31.0(+181)#399
25.	12729	204.0	37.0(+167)#25	31.0(+173)#418
26.	12405	200.0	37.0(+163)#26	31.0(+169)#429
27.	14422	198.0	37.0(+161)#27	31.0(+167)#437
28.	13603	176.0	37.0(+139)#28	31.0(+145)#528
29.	12515	176.0	37.0(+139)#29	31.0(+145)#533
30.	12035	176.0	37.0(+139)#30	31.0(+145)#535
31.	13334	175.0	37.0(+138)#31	31.0(+144)#542
32.	13478	173.0	37.0(+136)#32	31.0(+142)#550
33.	12428	172.0	37.0(+135)#33	31.0(+141)#556
34.	12758	171.0	37.0(+134)#34	31.0(+140)#560
35.	13363	171.0	37.0(+134)#35	31.0(+140)#561
36.	14754	167.0	37.0(+130)#36	31.0(+136)#586
37.	11954	161.0	37.0(+124)#37	31.0(+130)#628
38.	12788	158.0	37.0(+121)#38	31.0(+127)#649
39.	10968	157.0	37.0(+120)#39	31.0(+126)#657
40.	12914	155.0	37.0(+118)#40	31.0(+124)#672
41.	13652	153.0	37.0(+116)#41	31.0(+122)#684
42.	13327	152.0	37.0(+115)#42	31.0(+121)#691
43.	13778	151.0	37.0(+114)#43	31.0(+120)#699
44.	12531	149.0	37.0(+112)#44	31.0(+118)#722
45.	10560	148.0	37.0(+111)#45	31.0(+117)#727
46.	12565	146.0	37.0(+109)#46	31.0(+115)#745
47.	10013	144.0	37.0(+107)#47	31.0(+113)#755
48.	13658	141.0	37.0(+104)#48	31.0(+110)#788
49.	12861	140.0	37.0(+103)#49	31.0(+109)#799
50.	14416	137.0	37.0(+100.0)#50	31.0(+106)#811
51.	10004	136.0	37.0(+99.0)#51	31.0(+105)#818
52.	13437	136.0	37.0(+99.0)#52	31.0(+105)#837
53.	14037	135.0	37.0(+98.0)#53	31.0(+104)#848
54.	10970	133.0	37.0(+96.0)#54	31.0(+102)#859
55.	14209	131.0	37.0(+94.0)#55	31.0(+100.0)#879
56.	11516	131.0	37.0(+94.0)#56	31.0(+100.0)#880
57.	14757	129.0	37.0(+92.0)#57	31.0(+98.0)#906
58.	14066	129.0	37.0(+92.0)#58	31.0(+98.0)#913
59.	14441	129.0	37.0(+92.0)#59	31.0(+98.0)#917
60.	14884	128.0	37.0(+91.0)#60	31.0(+97.0)#932
61.	13152	126.0	37.0(+89.0)#61	31.0(+95.0)#945
62.	12157	126.0	37.0(+89.0)#62	31.0(+95.0)#947
63.	10998	124.0	37.0(+87.0)#63	31.0(+93.0)#981
64.	10588	122.0	37.0(+85.0)#64	31.0(+91.0)#1,008
65.	10989	121.0	37.0(+84.0)#65	31.0(+90.0)#1,024
66.	12549	120.0	37.0(+83.0)#66	31.0(+89.0)#1,036
67.	12575	120.0	37.0(+83.0)#67	31.0(+89.0)#1,041
68.	13029	119.0	37.0(+82.0)#68	31.0(+88.0)#1,047
69.	11976	119.0	37.0(+82.0)#69	31.0(+88.0)#1,051
70.	14489	117.0	37.0(+80.0)#70	31.0(+86.0)#1,072
71.	13074	115.0	37.0(+78.0)#71	31.0(+84.0)#1,104
72.	12449	115.0	37.0(+78.0)#72	31.0(+84.0)#1,105
73.	12077	114.0	37.0(+77.0)#73	31.0(+83.0)#1,118
74.	12090	113.0	37.0(+76.0)#74	31.0(+82.0)#1,130
75.	13361	113.0	37.0(+76.0)#75	31.0(+82.0)#1,139
76.	11518	112.0	37.0(+75.0)#76	31.0(+81.0)#1,145
77.	13461	112.0	37.0(+75.0)#77	31.0(+81.0)#1,152
78.	13165	111.0	37.0(+74.0)#78	31.0(+80.0)#1,157
79.	10923	111.0	37.0(+74.0)#79	31.0(+80.0)#1,158
80.	14867	111.0	37.0(+74.0)#80	31.0(+80.0)#1,161
81.	12817	111.0	37.0(+74.0)#81	31.0(+80.0)#1,167
82.	12032	111.0	37.0(+74.0)#82	31.0(+80.0)#1,172
83.	12831	110.0	37.0(+73.0)#83	31.0(+79.0)#1,184
84.	13669	110.0	37.0(+73.0)#84	31.0(+79.0)#1,185
85.	11697	109.0	37.0(+72.0)#85	31.0(+78.0)#1,213
86.	12965	109.0	37.0(+72.0)#86	31.0(+78.0)#1,224
87.	13787	108.0	37.0(+71.0)#87	31.0(+77.0)#1,230
88.	14817	108.0	37.0(+71.0)#88	31.0(+77.0)#1,232
89.	13066	107.0	37.0(+70.0)#89	31.0(+76.0)#1,243
90.	14454	107.0	37.0(+70.0)#90	31.0(+76.0)#1,244
91.	10516	106.0	37.0(+69.0)#91	31.0(+75.0)#1,261
92.	14903	105.0	37.0(+68.0)#92	31.0(+74.0)#1,272
93.	12173	104.0	37.0(+67.0)#93	31.0(+73.0)#1,302
94.	13618	102.0	37.0(+65.0)#94	31.0(+71.0)#1,353
95.	11795	101.0	37.0(+64.0)#95	31.0(+70.0)#1,358
96.	10987	101.0	37.0(+64.0)#96	31.0(+70.0)#1,370
97.	12764	101.0	37.0(+64.0)#97	31.0(+70.0)#1,373
98.	10532	100.0	37.0(+63.0)#98	31.0(+69.0)#1,385
99.	10007	99.0	37.0(+62.0)#99	31.0(+68.0)#1,403
100.	12547	99.0	37.0(+62.0)#100	31.0(+68.0)#1,412