Cities with the Oldest Male Population in Ohio

Q: What are the Top 10 Cities with the Oldest Male Population in Ohio?

Top 10 Cities with the Oldest Male Population in Ohio are: #1 Bannock 88.0 . #2 Salesville 71.6 . #3 Yankee Lake 71.5 . #4 Damascus 71.1 . #5 Macksburg 70.8 . #6 Lakeside 69.7 . #7 Mitiwanga 69.5 . #8 Austinburg 67.4 . #9 Chilo 66.8 . #10 Rome Stout 66.5 .

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Oldest Population | Male

Population

Highest Population Highest Population Density Lowest Population Density Male / Female Ratio Female / Male Ratio Oldest PopulationOldest Population | MaleOldest Population | Female Youngest Population Youngest 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 Cities with the Oldest Male Population in Ohio

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100.0

Cities with the Oldest Male Population in Ohio

	City	Median Age	vs State	vs National
1.	Bannock	88.0	38.3(+49.7)#1	37.4(+50.6)#9
2.	Salesville	71.6	38.3(+33.3)#2	37.4(+34.2)#271
3.	Yankee Lake	71.5	38.3(+33.2)#3	37.4(+34.1)#284
4.	Damascus	71.1	38.3(+32.8)#4	37.4(+33.7)#317
5.	Macksburg	70.8	38.3(+32.5)#5	37.4(+33.4)#334
6.	Lakeside	69.7	38.3(+31.4)#6	37.4(+32.3)#407
7.	Hamburg	69.7	38.3(+31.4)#7	37.4(+32.3)#408
8.	Mitiwanga	69.5	38.3(+31.2)#8	37.4(+32.1)#426
9.	Bolton	68.1	38.3(+29.8)#9	37.4(+30.7)#564
10.	Austinburg	67.4	38.3(+29.1)#10	37.4(+30.0)#622
11.	Brandt	67.1	38.3(+28.8)#11	37.4(+29.7)#663
12.	Chilo	66.8	38.3(+28.5)#12	37.4(+29.4)#707
13.	Rome Stout	66.5	38.3(+28.2)#13	37.4(+29.1)#733
14.	Stewart	65.9	38.3(+27.6)#14	37.4(+28.5)#822
15.	Sarahsville	65.8	38.3(+27.5)#15	37.4(+28.4)#836
16.	Plainfield	65.3	38.3(+27.0)#16	37.4(+27.9)#903
17.	Miamiville	65.3	38.3(+27.0)#17	37.4(+27.9)#906
18.	Meyers Lake	64.6	38.3(+26.3)#18	37.4(+27.2)#992
19.	Melmore	63.9	38.3(+25.6)#19	37.4(+26.5)#1,142
20.	Harpster	63.7	38.3(+25.4)#20	37.4(+26.3)#1,179
21.	Rosewood	63.3	38.3(+25.0)#21	37.4(+25.9)#1,274
22.	Brownsville	63.2	38.3(+24.9)#22	37.4(+25.8)#1,296
23.	Summerfield	62.7	38.3(+24.4)#23	37.4(+25.3)#1,384
24.	Negley	62.6	38.3(+24.3)#24	37.4(+25.2)#1,400
25.	Belle Valley	62.6	38.3(+24.3)#25	37.4(+25.2)#1,403
26.	Fairview	62.6	38.3(+24.3)#26	37.4(+25.2)#1,410
27.	Dundee	62.4	38.3(+24.1)#27	37.4(+25.0)#1,448
28.	Flat Rock	62.3	38.3(+24.0)#28	37.4(+24.9)#1,472
29.	Hannibal	62.2	38.3(+23.9)#29	37.4(+24.8)#1,498
30.	Graysville	62.1	38.3(+23.8)#30	37.4(+24.7)#1,521
31.	Caldwell	61.8	38.3(+23.5)#31	37.4(+24.4)#1,566
32.	Bratenahl	61.7	38.3(+23.4)#32	37.4(+24.3)#1,591
33.	Kelleys Island	61.7	38.3(+23.4)#33	37.4(+24.3)#1,597
34.	Mutual	61.5	38.3(+23.2)#34	37.4(+24.1)#1,642
35.	Jersey	61.4	38.3(+23.1)#35	37.4(+24.0)#1,668
36.	North Randall	61.2	38.3(+22.9)#36	37.4(+23.8)#1,720
37.	Kinsman Center	61.2	38.3(+22.9)#37	37.4(+23.8)#1,721
38.	Lake Mohawk	61.1	38.3(+22.8)#38	37.4(+23.7)#1,748
39.	Hills And Dales	61.0	38.3(+22.7)#39	37.4(+23.6)#1,776
40.	Bentonville	60.8	38.3(+22.5)#40	37.4(+23.4)#1,810
41.	Zaleski	60.7	38.3(+22.4)#41	37.4(+23.3)#1,830
42.	Fort Seneca	60.5	38.3(+22.2)#42	37.4(+23.1)#1,883
43.	South Canal	60.3	38.3(+22.0)#43	37.4(+22.9)#1,930
44.	Camp Dennison	60.3	38.3(+22.0)#44	37.4(+22.9)#1,938
45.	North Robinson	60.3	38.3(+22.0)#45	37.4(+22.9)#1,941
46.	Candlewood Lake	60.1	38.3(+21.8)#46	37.4(+22.7)#1,986
47.	Marne	60.1	38.3(+21.8)#47	37.4(+22.7)#1,992
48.	Walton Hills	60.0	38.3(+21.7)#48	37.4(+22.6)#2,010
49.	Hanging Rock	60.0	38.3(+21.7)#49	37.4(+22.6)#2,023
50.	Alvordton	60.0	38.3(+21.7)#50	37.4(+22.6)#2,024
51.	North Lima	59.7	38.3(+21.4)#51	37.4(+22.3)#2,074
52.	Chesterville	59.5	38.3(+21.2)#52	37.4(+22.1)#2,139
53.	East Springfield	59.5	38.3(+21.2)#53	37.4(+22.1)#2,144
54.	Montezuma	59.4	38.3(+21.1)#54	37.4(+22.0)#2,185
55.	Williston	59.3	38.3(+21.0)#55	37.4(+21.9)#2,200
56.	Put In Bay	58.7	38.3(+20.4)#56	37.4(+21.3)#2,366
57.	Stony Ridge	58.2	38.3(+19.9)#57	37.4(+20.8)#2,509
58.	Kimbolton	58.0	38.3(+19.7)#58	37.4(+20.6)#2,592
59.	Leesville	57.8	38.3(+19.5)#59	37.4(+20.4)#2,639
60.	Jacksontown	57.7	38.3(+19.4)#60	37.4(+20.3)#2,668
61.	New Haven Cdp Hamilton County	57.6	38.3(+19.3)#61	37.4(+20.2)#2,702
62.	Dunlap	57.5	38.3(+19.2)#62	37.4(+20.1)#2,712
63.	Richmond	57.2	38.3(+18.9)#63	37.4(+19.8)#2,864
64.	Dillonvale	57.1	38.3(+18.8)#64	37.4(+19.7)#2,897
65.	Hooven	57.1	38.3(+18.8)#65	37.4(+19.7)#2,898
66.	Proctorville	56.9	38.3(+18.6)#66	37.4(+19.5)#2,968
67.	Lansing	56.9	38.3(+18.6)#67	37.4(+19.5)#2,978
68.	Valley City	56.8	38.3(+18.5)#68	37.4(+19.4)#3,001
69.	The Village Of Indian Hill	56.6	38.3(+18.3)#69	37.4(+19.2)#3,042
70.	Wetherington	56.5	38.3(+18.2)#70	37.4(+19.1)#3,080
71.	Stafford	56.5	38.3(+18.2)#71	37.4(+19.1)#3,113
72.	Eaton Estates	56.4	38.3(+18.1)#72	37.4(+19.0)#3,136
73.	Highpoint	56.3	38.3(+18.0)#73	37.4(+18.9)#3,173
74.	Lake Seneca	56.3	38.3(+18.0)#74	37.4(+18.9)#3,177
75.	Saybrook-On-The-Lake	56.2	38.3(+17.9)#75	37.4(+18.8)#3,224
76.	Jacksonville	56.1	38.3(+17.8)#76	37.4(+18.7)#3,264
77.	Loveland Park	56.0	38.3(+17.7)#77	37.4(+18.6)#3,283
78.	Roachester	56.0	38.3(+17.7)#78	37.4(+18.6)#3,292
79.	Vaughnsville	56.0	38.3(+17.7)#79	37.4(+18.6)#3,304
80.	Lake Lorelei	55.8	38.3(+17.5)#80	37.4(+18.4)#3,346
81.	Marblehead	55.8	38.3(+17.5)#81	37.4(+18.4)#3,348
82.	New Marshfield	55.8	38.3(+17.5)#82	37.4(+18.4)#3,365
83.	Lake Waynoka	55.7	38.3(+17.4)#83	37.4(+18.3)#3,390
84.	Dexter City	55.5	38.3(+17.2)#84	37.4(+18.1)#3,473
85.	Deersville	55.5	38.3(+17.2)#85	37.4(+18.1)#3,487
86.	Parral	55.3	38.3(+17.0)#86	37.4(+17.9)#3,550
87.	Hunting Valley	55.1	38.3(+16.8)#87	37.4(+17.7)#3,622
88.	Chippewa Lake	55.1	38.3(+16.8)#88	37.4(+17.7)#3,624
89.	Pottery Addition	54.9	38.3(+16.6)#89	37.4(+17.5)#3,699
90.	Chippewa Park	54.8	38.3(+16.5)#90	37.4(+17.4)#3,716
91.	Silver Lake	54.7	38.3(+16.4)#91	37.4(+17.3)#3,735
92.	Gomer	54.6	38.3(+16.3)#92	37.4(+17.2)#3,781
93.	Octa	54.6	38.3(+16.3)#93	37.4(+17.2)#3,791
94.	The Plains	54.5	38.3(+16.2)#94	37.4(+17.1)#3,796
95.	Miller	54.5	38.3(+16.2)#95	37.4(+17.1)#3,813
96.	Guilford Lake	54.4	38.3(+16.1)#96	37.4(+17.0)#3,879
97.	Richfield	54.3	38.3(+16.0)#97	37.4(+16.9)#3,907
98.	Ballville	54.3	38.3(+16.0)#98	37.4(+16.9)#3,908
99.	Mount Pleasant	54.3	38.3(+16.0)#99	37.4(+16.9)#3,941
100.	Lake Tomahawk	54.1	38.3(+15.8)#100	37.4(+16.7)#4,020