Zip Codes with the Largest Family Size in Ohio

Q: What are the Top 10 Zip Codes with the Largest Family Size in Ohio?

Top 10 Zip Codes with the Largest Family Size in Ohio are: #1 44607 7.42 . #2 43711 7.38 . #3 45727 5.81 . #4 45630 5.79 . #5 43733 5.67 . #6 45677 5.57 . #7 43434 5.29 . #8 43346 5.19 . #9 43983 5.00 . #10 43005 4.96 .

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Largest Family Size

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 SizeLargest Household Size Most Single Fathers Most Single Mothers Fewest Single Fathers Fewest Single Mothers Smallest Family Size Smallest Household Size

Female Fertility

Female Fertility (Unmarried)

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)

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)

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

Poverty (Families)

Unemployment

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

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

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

Ohio

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Map of Zip Codes with the Largest Family Size in Ohio

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Zip Codes with the Largest Family Size in Ohio

	Zip Code	People / Family	vs State	vs National
1.	44607	7.42	3.03(+4.39)#1	3.18(+4.24)#38
2.	43711	7.38	3.03(+4.35)#2	3.18(+4.20)#40
3.	45727	5.81	3.03(+2.78)#3	3.18(+2.63)#122
4.	45630	5.79	3.03(+2.76)#4	3.18(+2.61)#127
5.	43733	5.67	3.03(+2.64)#5	3.18(+2.49)#149
6.	45677	5.57	3.03(+2.54)#6	3.18(+2.39)#169
7.	43434	5.29	3.03(+2.26)#7	3.18(+2.11)#231
8.	43346	5.19	3.03(+2.16)#8	3.18(+2.01)#258
9.	43983	5.00	3.03(+1.97)#9	3.18(+1.82)#312
10.	43005	4.96	3.03(+1.93)#10	3.18(+1.78)#336
11.	45773	4.88	3.03(+1.85)#11	3.18(+1.70)#375
12.	45646	4.86	3.03(+1.83)#12	3.18(+1.68)#385
13.	43408	4.81	3.03(+1.78)#13	3.18(+1.63)#414
14.	43750	4.81	3.03(+1.78)#14	3.18(+1.63)#415
15.	44099	4.77	3.03(+1.74)#15	3.18(+1.59)#427
16.	45469	4.67	3.03(+1.64)#16	3.18(+1.49)#497
17.	43158	4.53	3.03(+1.50)#17	3.18(+1.35)#585
18.	44062	4.51	3.03(+1.48)#18	3.18(+1.33)#600
19.	44651	4.51	3.03(+1.48)#19	3.18(+1.33)#606
20.	44630	4.51	3.03(+1.48)#20	3.18(+1.33)#613
21.	43805	4.41	3.03(+1.38)#21	3.18(+1.23)#711
22.	45353	4.40	3.03(+1.37)#22	3.18(+1.22)#723
23.	45685	4.39	3.03(+1.36)#23	3.18(+1.21)#729
24.	45788	4.36	3.03(+1.33)#24	3.18(+1.18)#768
25.	43077	4.32	3.03(+1.29)#25	3.18(+1.14)#813
26.	43014	4.18	3.03(+1.15)#26	3.18(+1.000)#1,032
27.	44689	4.14	3.03(+1.11)#27	3.18(+0.960)#1,118
28.	45897	4.13	3.03(+1.10)#28	3.18(+0.950)#1,143
29.	45131	4.12	3.03(+1.09)#29	3.18(+0.940)#1,165
30.	44627	4.04	3.03(+1.01)#30	3.18(+0.860)#1,337
31.	44624	4.04	3.03(+1.01)#31	3.18(+0.860)#1,338
32.	43722	4.03	3.03(+1.00)#32	3.18(+0.850)#1,383
33.	45870	4.01	3.03(+0.980)#33	3.18(+0.830)#1,438
34.	44439	4.01	3.03(+0.980)#34	3.18(+0.830)#1,439
35.	43325	4.00	3.03(+0.970)#35	3.18(+0.820)#1,482
36.	43321	3.99	3.03(+0.960)#36	3.18(+0.810)#1,520
37.	44661	3.95	3.03(+0.920)#37	3.18(+0.770)#1,647
38.	43116	3.94	3.03(+0.910)#38	3.18(+0.760)#1,670
39.	43804	3.93	3.03(+0.900)#39	3.18(+0.750)#1,697
40.	45328	3.91	3.03(+0.880)#40	3.18(+0.730)#1,787
41.	45301	3.91	3.03(+0.880)#41	3.18(+0.730)#1,791
42.	43037	3.91	3.03(+0.880)#42	3.18(+0.730)#1,792
43.	44606	3.90	3.03(+0.870)#43	3.18(+0.720)#1,802
44.	45883	3.90	3.03(+0.870)#44	3.18(+0.720)#1,812
45.	43759	3.90	3.03(+0.870)#45	3.18(+0.720)#1,827
46.	43547	3.89	3.03(+0.860)#46	3.18(+0.710)#1,872
47.	44681	3.88	3.03(+0.850)#47	3.18(+0.700)#1,887
48.	45156	3.87	3.03(+0.840)#48	3.18(+0.690)#1,947
49.	45672	3.85	3.03(+0.820)#49	3.18(+0.670)#2,021
50.	43840	3.85	3.03(+0.820)#50	3.18(+0.670)#2,023
51.	43084	3.85	3.03(+0.820)#51	3.18(+0.670)#2,027
52.	45776	3.83	3.03(+0.800)#52	3.18(+0.650)#2,124
53.	43902	3.81	3.03(+0.780)#53	3.18(+0.630)#2,238
54.	44450	3.80	3.03(+0.770)#54	3.18(+0.620)#2,264
55.	45155	3.80	3.03(+0.770)#55	3.18(+0.620)#2,276
56.	43967	3.80	3.03(+0.770)#56	3.18(+0.620)#2,280
57.	44693	3.78	3.03(+0.750)#57	3.18(+0.600)#2,386
58.	43529	3.76	3.03(+0.730)#58	3.18(+0.580)#2,458
59.	45782	3.73	3.03(+0.700)#59	3.18(+0.550)#2,607
60.	45204	3.71	3.03(+0.680)#60	3.18(+0.530)#2,715
61.	45884	3.71	3.03(+0.680)#61	3.18(+0.530)#2,754
62.	43802	3.69	3.03(+0.660)#62	3.18(+0.510)#2,863
63.	43340	3.68	3.03(+0.650)#63	3.18(+0.500)#2,919
64.	44654	3.66	3.03(+0.630)#64	3.18(+0.480)#3,044
65.	44887	3.66	3.03(+0.630)#65	3.18(+0.480)#3,075
66.	45716	3.66	3.03(+0.630)#66	3.18(+0.480)#3,088
67.	43608	3.65	3.03(+0.620)#67	3.18(+0.470)#3,122
68.	44491	3.65	3.03(+0.620)#68	3.18(+0.470)#3,135
69.	43754	3.65	3.03(+0.620)#69	3.18(+0.470)#3,141
70.	43735	3.65	3.03(+0.620)#70	3.18(+0.470)#3,160
71.	43985	3.64	3.03(+0.610)#71	3.18(+0.460)#3,250
72.	44003	3.63	3.03(+0.600)#72	3.18(+0.450)#3,294
73.	45359	3.62	3.03(+0.590)#73	3.18(+0.440)#3,375
74.	45770	3.62	3.03(+0.590)#74	3.18(+0.440)#3,387
75.	45388	3.62	3.03(+0.590)#75	3.18(+0.440)#3,390
76.	44878	3.61	3.03(+0.580)#76	3.18(+0.430)#3,456
77.	45205	3.60	3.03(+0.570)#77	3.18(+0.420)#3,508
78.	45860	3.60	3.03(+0.570)#78	3.18(+0.420)#3,524
79.	43115	3.60	3.03(+0.570)#79	3.18(+0.420)#3,529
80.	43747	3.59	3.03(+0.560)#80	3.18(+0.410)#3,623
81.	45671	3.59	3.03(+0.560)#81	3.18(+0.410)#3,636
82.	44676	3.58	3.03(+0.550)#82	3.18(+0.400)#3,692
83.	43061	3.58	3.03(+0.550)#83	3.18(+0.400)#3,695
84.	45351	3.58	3.03(+0.550)#84	3.18(+0.400)#3,730
85.	45658	3.56	3.03(+0.530)#85	3.18(+0.380)#3,895
86.	45868	3.56	3.03(+0.530)#86	3.18(+0.380)#3,916
87.	43721	3.56	3.03(+0.530)#87	3.18(+0.380)#3,927
88.	45894	3.55	3.03(+0.520)#88	3.18(+0.370)#4,023
89.	45378	3.55	3.03(+0.520)#89	3.18(+0.370)#4,026
90.	43466	3.54	3.03(+0.510)#90	3.18(+0.360)#4,092
91.	44310	3.53	3.03(+0.500)#91	3.18(+0.350)#4,148
92.	45697	3.53	3.03(+0.500)#92	3.18(+0.350)#4,166
93.	44837	3.53	3.03(+0.500)#93	3.18(+0.350)#4,174
94.	44633	3.53	3.03(+0.500)#94	3.18(+0.350)#4,185
95.	43333	3.53	3.03(+0.500)#95	3.18(+0.350)#4,204
96.	43070	3.53	3.03(+0.500)#96	3.18(+0.350)#4,225
97.	43219	3.52	3.03(+0.490)#97	3.18(+0.340)#4,259
98.	43739	3.52	3.03(+0.490)#98	3.18(+0.340)#4,308
99.	45070	3.52	3.03(+0.490)#99	3.18(+0.340)#4,357
100.	45767	3.51	3.03(+0.480)#100	3.18(+0.330)#4,439