Zip Codes with the Youngest Population in Ohio

Q: What are the Top 10 Zip Codes with the Youngest Population in Ohio?

Top 10 Zip Codes with the Youngest Population in Ohio are: #1 43325 6.8 . #2 43346 7.7 . #3 43027 11.5 . #4 43983 17.5 . #5 43005 17.6 . #6 43722 17.8 . #7 45897 18.2 . #8 45435 19.0 . #9 43210 19.4 . #10 44243 19.4 .

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Youngest Population

Population

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

Families and Households

Largest Family Size Largest 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 Youngest Population in Ohio

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Zip Codes with the Youngest Population in Ohio

	Zip Code	Median Age	vs State	vs National
1.	43325	6.8	39.6 (-32.8)#1	38.5 (-31.7)#8
2.	43346	7.7	39.6 (-31.9)#2	38.5 (-30.8)#12
3.	43027	11.5	39.6 (-28.1)#3	38.5 (-27.0)#33
4.	43983	17.5	39.6 (-22.1)#4	38.5 (-21.0)#104
5.	43005	17.6	39.6 (-22.0)#5	38.5 (-20.9)#109
6.	43722	17.8	39.6 (-21.8)#6	38.5 (-20.7)#115
7.	45897	18.2	39.6 (-21.4)#7	38.5 (-20.3)#126
8.	45435	19.0	39.6 (-20.6)#8	38.5 (-19.5)#167
9.	43210	19.4	39.6 (-20.2)#9	38.5 (-19.1)#225
10.	44243	19.4	39.6 (-20.2)#10	38.5 (-19.1)#230
11.	43403	19.5	39.6 (-20.1)#11	38.5 (-19.0)#247
12.	44555	19.7	39.6 (-19.9)#12	38.5 (-18.8)#310
13.	44325	19.8	39.6 (-19.8)#13	38.5 (-18.7)#331
14.	45469	19.8	39.6 (-19.8)#14	38.5 (-18.7)#338
15.	45384	20.2	39.6 (-19.4)#15	38.5 (-18.3)#404
16.	45409	20.8	39.6 (-18.8)#16	38.5 (-17.7)#475
17.	44099	20.8	39.6 (-18.8)#17	38.5 (-17.7)#478
18.	44607	21.0	39.6 (-18.6)#18	38.5 (-17.5)#520
19.	45314	21.3	39.6 (-18.3)#19	38.5 (-17.2)#542
20.	45219	21.5	39.6 (-18.1)#20	38.5 (-17.0)#563
21.	45674	21.5	39.6 (-18.1)#21	38.5 (-17.0)#569
22.	45056	21.6	39.6 (-18.0)#22	38.5 (-16.9)#579
23.	43022	21.8	39.6 (-17.8)#23	38.5 (-16.7)#616
24.	43158	22.2	39.6 (-17.4)#24	38.5 (-16.3)#691
25.	44308	22.4	39.6 (-17.2)#25	38.5 (-16.1)#708
26.	43070	22.4	39.6 (-17.2)#26	38.5 (-16.1)#713
27.	45172	22.8	39.6 (-16.8)#27	38.5 (-15.7)#755
28.	43201	23.3	39.6 (-16.3)#28	38.5 (-15.2)#806
29.	45701	23.4	39.6 (-16.2)#29	38.5 (-15.1)#818
30.	43077	23.6	39.6 (-16.0)#30	38.5 (-14.9)#846
31.	44304	23.7	39.6 (-15.9)#31	38.5 (-14.8)#854
32.	43536	23.7	39.6 (-15.9)#32	38.5 (-14.8)#861
33.	44311	23.8	39.6 (-15.8)#33	38.5 (-14.7)#869
34.	45433	24.2	39.6 (-15.4)#34	38.5 (-14.3)#916
35.	45232	24.3	39.6 (-15.3)#35	38.5 (-14.2)#922
36.	43531	24.5	39.6 (-15.1)#36	38.5 (-14.0)#949
37.	45225	24.6	39.6 (-15.0)#37	38.5 (-13.9)#954
38.	44689	24.6	39.6 (-15.0)#38	38.5 (-13.9)#958
39.	43217	25.2	39.6 (-14.4)#39	38.5 (-13.3)#1,018
40.	44115	25.9	39.6 (-13.7)#40	38.5 (-12.6)#1,090
41.	45810	25.9	39.6 (-13.7)#41	38.5 (-12.6)#1,091
42.	45350	25.9	39.6 (-13.7)#42	38.5 (-12.6)#1,105
43.	44062	26.3	39.6 (-13.3)#43	38.5 (-12.2)#1,145
44.	44627	26.3	39.6 (-13.3)#44	38.5 (-12.2)#1,149
45.	43434	26.5	39.6 (-13.1)#45	38.5 (-12.0)#1,186
46.	43505	26.5	39.6 (-13.1)#46	38.5 (-12.0)#1,190
47.	45353	26.7	39.6 (-12.9)#47	38.5 (-11.8)#1,220
48.	43014	26.9	39.6 (-12.7)#48	38.5 (-11.6)#1,239
49.	43402	27.0	39.6 (-12.6)#49	38.5 (-11.5)#1,259
50.	44606	27.2	39.6 (-12.4)#50	38.5 (-11.3)#1,286
51.	45207	27.2	39.6 (-12.4)#51	38.5 (-11.3)#1,287
52.	44652	27.2	39.6 (-12.4)#52	38.5 (-11.3)#1,296
53.	45220	27.7	39.6 (-11.9)#53	38.5 (-10.8)#1,381
54.	43437	27.9	39.6 (-11.7)#54	38.5 (-10.6)#1,417
55.	43802	28.0	39.6 (-11.6)#55	38.5 (-10.5)#1,444
56.	44850	28.1	39.6 (-11.5)#56	38.5 (-10.4)#1,473
57.	45673	28.4	39.6 (-11.2)#57	38.5 (-10.1)#1,528
58.	43529	28.4	39.6 (-11.2)#58	38.5 (-10.1)#1,529
59.	43750	28.4	39.6 (-11.2)#59	38.5 (-10.1)#1,534
60.	44640	28.5	39.6 (-11.1)#60	38.5 (-10.00)#1,553
61.	45166	28.9	39.6 (-10.7)#61	38.5 (-9.60)#1,675
62.	43202	29.1	39.6 (-10.5)#62	38.5 (-9.40)#1,705
63.	45001	29.1	39.6 (-10.5)#63	38.5 (-9.40)#1,714
64.	43735	29.1	39.6 (-10.5)#64	38.5 (-9.40)#1,716
65.	44624	29.4	39.6 (-10.2)#65	38.5 (-9.10)#1,775
66.	45685	29.5	39.6 (-10.1)#66	38.5 (-9.00)#1,807
67.	43840	29.5	39.6 (-10.1)#67	38.5 (-9.00)#1,808
68.	45332	29.5	39.6 (-10.1)#68	38.5 (-9.00)#1,818
69.	45883	29.7	39.6 (-9.90)#69	38.5 (-8.80)#1,870
70.	43804	29.7	39.6 (-9.90)#70	38.5 (-8.80)#1,871
71.	45321	29.8	39.6 (-9.80)#71	38.5 (-8.70)#1,917
72.	45070	29.9	39.6 (-9.70)#72	38.5 (-8.60)#1,961
73.	44681	30.0	39.6 (-9.60)#73	38.5 (-8.50)#1,983
74.	45155	30.0	39.6 (-9.60)#74	38.5 (-8.50)#2,003
75.	45267	30.0	39.6 (-9.60)#75	38.5 (-8.50)#2,009
76.	43215	30.4	39.6 (-9.20)#76	38.5 (-8.10)#2,129
77.	45630	30.4	39.6 (-9.20)#77	38.5 (-8.10)#2,149
78.	43340	30.5	39.6 (-9.10)#78	38.5 (-8.00)#2,187
79.	45812	30.5	39.6 (-9.10)#79	38.5 (-8.00)#2,189
80.	43501	30.7	39.6 (-8.90)#80	38.5 (-7.80)#2,288
81.	44106	30.8	39.6 (-8.80)#81	38.5 (-7.70)#2,313
82.	44902	30.8	39.6 (-8.80)#82	38.5 (-7.70)#2,324
83.	45302	30.8	39.6 (-8.80)#83	38.5 (-7.70)#2,326
84.	45388	30.8	39.6 (-8.80)#84	38.5 (-7.70)#2,341
85.	43219	30.9	39.6 (-8.70)#85	38.5 (-7.60)#2,366
86.	44507	31.0	39.6 (-8.60)#86	38.5 (-7.50)#2,429
87.	43212	31.1	39.6 (-8.50)#87	38.5 (-7.40)#2,463
88.	44661	31.2	39.6 (-8.40)#88	38.5 (-7.30)#2,540
89.	45861	31.2	39.6 (-8.40)#89	38.5 (-7.30)#2,541
90.	45358	31.2	39.6 (-8.40)#90	38.5 (-7.30)#2,542
91.	45410	31.3	39.6 (-8.30)#91	38.5 (-7.20)#2,565
92.	45214	31.3	39.6 (-8.30)#92	38.5 (-7.20)#2,572
93.	44633	31.6	39.6 (-8.00)#93	38.5 (-6.90)#2,731
94.	44665	31.6	39.6 (-8.00)#94	38.5 (-6.90)#2,750
95.	44502	31.7	39.6 (-7.90)#95	38.5 (-6.80)#2,778
96.	43928	31.7	39.6 (-7.90)#96	38.5 (-6.80)#2,802
97.	44654	31.9	39.6 (-7.70)#97	38.5 (-6.60)#2,877
98.	44003	31.9	39.6 (-7.70)#98	38.5 (-6.60)#2,892
99.	44887	31.9	39.6 (-7.70)#99	38.5 (-6.60)#2,900
100.	45870	31.9	39.6 (-7.70)#100	38.5 (-6.60)#2,908