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Ranking every Ohio city for food assistance need – new census estimates

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2 years ago

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Ranking every Ohio city for food assistance need – new census estimates


In Ohio, 12.6% of households obtain SNAP, or meals stamp, advantages. (Marvin Fong/The Plain Seller)The Plain Seller

CLEVELAND, Ohio – Forty-five cities in Ohio have 20% or extra of households requiring meals help from the Supplemental Diet Help Program, in keeping with new census estimates launched final month.

East Cleveland tops this checklist as probably the most food-insecure place within the state, with 43.8% of the inhabitants needing assist to buy meals every month.

Rating Metropolis 2020 SNAP Households 2020 SNAP Households with Kids Beneath 18 2019 SNAP Households 2019 SNAP Households with Kids Beneath 18 2019-2020 SNAP change 2019-2020 Kids Beneath 18 Change
1 East Cleveland 43.8% 37.0% 41.3% 34.1% 6.1% 8.5%
2 Portsmouth 38.4% 41.4% 38.7% 40.1% -0.8% 3.2%
3 Youngstown 34.5% 46.3% 36.7% 47.0% -6.0% -1.5%
4 East Liverpool 33.6% 48.6% 31.0% 50.2% 8.4% -3.2%
5 Campbell 32.2% 52.5% 35.6% 49.0% -9.6% 7.1%
6 Cleveland 32.0% 41.0% 33.4% 41.8% -4.2% -1.9%
7 Zanesville 31.6% 43.3% 33.9% 45.0% -6.8% -3.8%
8 Ironton 31.1% 37.4% 30.3% 33.7% 2.6% 11.0%
9 Cambridge 29.4% 43.0% 31.2% 45.6% -5.8% -5.7%
10 Ashtabula 28.3% 38.7% 32.7% 39.9% -13.5% -3.0%
11 Canton 28.1% 51.4% 29.1% 51.5% -3.4% -0.2%
12 Uhrichsville 27.9% 47.9% 23.1% 53.8% 20.8% -11.0%
13 Springfield 27.8% 51.4% 27.3% 52.1% 1.8% -1.3%
14 Warren 27.5% 39.9% 26.9% 44.3% 2.2% -9.9%
15 Wellston 26.8% 80.3% 29.7% 66.0% -9.8% 21.7%
16 Dayton 26.1% 45.4% 27.4% 44.7% -4.7% 1.6%
17 Steubenville 25.7% 30.8% 26.9% 32.3% -4.5% -4.6%
18 Lima 25.4% 51.2% 25.7% 49.3% -1.2% 3.9%
19 Lorain 25.3% 47.2% 24.6% 47.9% 2.8% -1.5%
20 Logan 25.0% 57.3% 25.8% 38.5% -3.1% 48.8%
21 Nelsonville 24.8% 45.5% 25.3% 47.1% -2.0% -3.4%
22 Alliance 24.6% 47.4% 25.3% 51.8% -2.8% -8.5%
23 Mansfield 24.6% 39.1% 25.1% 41.9% -2.0% -6.7%
24 Akron 23.8% 47.1% 24.0% 46.0% -0.8% 2.4%
25 Circleville 23.6% 51.2% 22.8% 46.9% 3.5% 9.2%
26 Ravenna 23.4% 20.3% 20.3% 30.5% 15.3% -33.4%
27 Toledo 23.3% 46.6% 24.4% 46.7% -4.5% -0.2%
28 Marion 22.8% 49.0% 25.9% 50.9% -12.0% -3.7%
29 Toronto 22.7% 29.1% 18.7% 41.5% 21.4% -29.9%
30 Middletown 22.2% 51.7% 24.3% 53.4% -8.6% -3.2%
31 Struthers 21.7% 59.5% 23.3% 58.6% -6.9% 1.5%
32 Sandusky 21.6% 41.9% 23.1% 46.5% -6.5% -9.9%
33 Geneva 21.5% 45.8% 21.5% 35.0% 0.0% 30.9%
34 Martins Ferry 21.2% 47.9% 17.3% 53.8% 22.5% -11.0%
35 Fremont 21.2% 43.2% 20.1% 38.8% 5.5% 11.3%
36 Chillicothe 21.1% 44.1% 25.0% 45.3% -15.6% -2.6%
37 Fostoria 20.9% 49.9% 23.1% 46.9% -9.5% 6.4%
38 Conneaut 20.8% 52.3% 18.3% 39.1% 13.7% 33.8%
39 Salem 20.7% 45.3% 21.0% 37.9% -1.4% 19.5%
40 Euclid 20.7% 37.1% 22.6% 40.9% -8.4% -9.3%
41 Trotwood 20.6% 39.5% 21.1% 51.5% -2.4% -23.3%
42 New Philadelphia 20.6% 36.5% 20.6% 37.8% 0.0% -3.4%
43 Marietta 20.5% 47.0% 19.2% 43.1% 6.8% 9.0%
44 Washington Court docket Home 20.3% 42.2% 20.9% 47.3% -2.9% -10.8%
45 Painesville 20.0% 35.4% 18.6% 46.0% 7.5% -23.0%
46 Lancaster 19.7% 44.8% 22.2% 45.6% -11.3% -1.8%
47 Wilmington 19.5% 51.1% 19.8% 49.5% -1.5% 3.2%
48 Newark 19.5% 47.1% 19.9% 50.2% -2.0% -6.2%
49 Warrensville Heights 19.3% 51.6% 20.2% 52.0% -4.5% -0.8%
50 Whitehall 19.2% 59.2% 22.3% 61.7% -13.9% -4.1%
51 Galion 19.2% 43.2% 20.7% 46.0% -7.2% -6.1%
52 Xenia 19.2% 39.9% 19.0% 47.7% 1.1% -16.4%
53 North Faculty Hill 19.0% 81.2% 16.1% 83.0% 18.0% -2.2%
54 Barberton 19.0% 42.9% 18.6% 44.1% 2.2% -2.7%
55 Garfield Heights 18.9% 55.9% 16.0% 53.6% 18.1% 4.3%
56 Bellefontaine 18.9% 49.4% 20.7% 53.8% -8.7% -8.2%
57 Mount Wholesome 18.9% 28.8% 24.5% 33.4% -22.9% -13.8%
58 Moraine 18.8% 56.1% 18.9% 51.9% -0.5% 8.1%
59 Maple Heights 18.8% 55.2% 22.6% 52.7% -16.8% 4.7%
60 Cincinnati 18.5% 44.1% 19.8% 43.1% -6.6% 2.3%
61 Coshocton 18.4% 46.3% 21.9% 40.4% -16.0% 14.6%
62 Brooklyn 18.3% 38.9% 13.4% 43.7% 36.6% -11.0%
63 Cheviot 18.2% 41.8% 15.4% 35.2% 18.2% 18.8%
64 Mount Vernon 18.1% 44.8% 22.4% 40.5% -19.2% 10.6%
65 New Carlisle 18.0% 39.1% 19.7% 37.6% -8.6% 4.0%
66 Kenton 17.9% 32.5% 16.3% 36.2% 9.8% -10.2%
67 Elyria 17.5% 48.6% 18.5% 49.3% -5.4% -1.4%
68 Massillon 17.5% 43.6% 17.1% 48.2% 2.3% -9.5%
69 Hamilton 17.3% 49.9% 18.5% 48.8% -6.5% 2.3%
70 Hillsboro 17.1% 41.5% 21.3% 41.3% -19.7% 0.5%
71 Defiance 16.5% 58.3% 16.3% 61.5% 1.2% -5.2%
72 Rittman 16.4% 48.8% 15.5% 49.2% 5.8% -0.8%
73 Bucyrus 16.1% 40.3% 19.0% 41.2% -15.3% -2.2%
74 Bryan 15.6% 55.9% 14.7% 42.8% 6.1% 30.6%
75 Girard 15.3% 65.7% 18.7% 53.7% -18.2% 22.3%
76 Pataskala 15.3% 59.7% 9.6% 63.6% 59.4% -6.1%
77 Urbana 15.3% 55.1% 17.8% 42.1% -14.0% 30.9%
78 Van Wert 15.3% 47.6% 18.5% 51.5% -17.3% -7.6%
79 Jackson 15.2% 47.5% 16.6% 45.1% -8.4% 5.3%
80 Kent 14.8% 46.4% 16.2% 58.5% -8.6% -20.7%
81 London 14.6% 33.4% 16.3% 43.4% -10.4% -23.0%
82 Eaton 14.5% 28.0% 18.2% 28.5% -20.3% -1.8%
83 Fairborn 14.4% 51.0% 16.5% 59.4% -12.7% -14.1%
84 Piqua 14.4% 43.8% 16.4% 41.6% -12.2% 5.3%
85 Athens 14.3% 16.6% 9.9% 20.8% 44.4% -20.2%
86 Willard 14.1% 51.2% 17.4% 46.5% -19.0% 10.1%
87 Franklin 13.7% 48.3% 12.4% 53.8% 10.5% -10.2%
88 Bedford Heights 13.6% 31.9% 15.7% 24.2% -13.4% 31.8%
89 Cleveland Heights 13.5% 50.5% 13.9% 48.1% -2.9% 5.0%
90 Shelby 13.4% 56.1% 14.4% 58.1% -6.9% -3.4%
91 Norwalk 13.4% 41.8% 14.9% 51.6% -10.1% -19.0%
92 Riverside 13.4% 41.1% 11.8% 48.7% 13.6% -15.6%
93 Port Clinton 13.4% 36.7% 17.6% 35.1% -23.9% 4.6%
94 Ashland 13.3% 42.6% 12.1% 38.8% 9.9% 9.8%
95 Wooster 13.3% 34.9% 16.2% 39.7% -17.9% -12.1%
96 Columbus 13.1% 51.0% 14.1% 52.9% -7.1% -3.6%
97 Tiffin 13.0% 33.6% 13.8% 44.4% -5.8% -24.3%
98 Chardon 12.9% 15.1% 13.9% 23.8% -7.2% -36.6%
99 Napoleon 12.8% 47.6% 13.0% 52.2% -1.5% -8.8%
100 Parma 11.7% 42.0% 11.4% 50.6% 2.6% -17.0%
101 Greenville 11.7% 32.6% 14.5% 38.1% -19.3% -14.4%
102 Orrville 11.6% 52.7% 10.9% 60.3% 6.4% -12.6%
103 Studying 11.5% 10.4% 9.2% 31.8% 25.0% -67.3%
104 Sidney 11.4% 56.7% 12.2% 61.7% -6.6% -8.1%
105 Dover 11.4% 41.5% 9.1% 48.1% 25.3% -13.7%
106 Findlay 11.4% 38.9% 10.7% 46.7% 6.5% -16.7%
107 Lakewood 11.2% 27.1% 13.0% 31.7% -13.8% -14.5%
108 Bedford 11.0% 57.1% 11.0% 51.9% 0.0% 10.0%
109 Lebanon 11.0% 34.2% 11.7% 38.6% -6.0% -11.4%
110 Brook Park 10.9% 56.5% 10.8% 62.0% 0.9% -8.9%
111 Louisville 10.7% 47.2% 11.2% 54.9% -4.5% -14.0%
112 Wapakoneta 10.7% 30.6% 8.7% 46.9% 23.0% -34.8%
113 Norwood 10.5% 29.0% 12.5% 34.2% -16.0% -15.2%
114 Parma Heights 10.4% 25.3% 12.5% 28.5% -16.8% -11.2%
115 Bowling Inexperienced 10.3% 50.2% 9.6% 35.2% 7.3% 42.6%
116 Niles 10.3% 46.2% 12.4% 42.1% -16.9% 9.7%
117 Medina 10.3% 41.9% 10.0% 44.2% 3.0% -5.2%
118 Higher Sandusky 10.3% 35.9% 11.7% 46.1% -12.0% -22.1%
119 Heath 10.2% 48.6% 12.3% 41.5% -17.1% 17.1%
120 Bellevue 10.1% 56.0% 12.5% 57.5% -19.2% -2.6%
121 South Euclid 10.1% 52.0% 9.2% 39.7% 9.8% 31.0%
122 Richmond Heights 10.1% 41.8% 9.9% 49.2% 2.0% -15.0%
123 Englewood 10.1% 10.8% 7.8% 20.4% 29.5% -47.1%
124 Northwood 10.0% 73.7% 15.1% 54.0% -33.8% 36.5%
125 St. Marys 10.0% 46.6% 10.3% 46.5% -2.9% 0.2%
126 Troy 10.0% 38.8% 11.7% 41.0% -14.5% -5.4%
127 Springdale 9.9% 62.2% 9.1% 55.3% 8.8% 12.5%
128 Oregon 9.6% 29.1% 10.1% 31.2% -5.0% -6.7%
129 Germantown 9.3% 71.8% 9.5% 75.2% -2.1% -4.5%
130 Celina 9.3% 60.2% 12.5% 55.4% -25.6% 8.7%
131 Huber Heights 9.3% 58.4% 11.0% 63.8% -15.5% -8.5%
132 Streetsboro 9.3% 48.7% 8.4% 61.7% 10.7% -21.1%
133 Cuyahoga Falls 9.3% 37.1% 9.6% 45.5% -3.1% -18.5%
134 Canal Fulton 9.2% 65.0% 7.9% 77.9% 16.5% -16.6%
135 Belpre 9.2% 38.5% 11.9% 39.0% -22.7% -1.3%
136 Shaker Heights 9.0% 35.7% 8.3% 48.4% 8.4% -26.2%
137 West Carrollton 8.9% 61.7% 15.0% 60.2% -40.7% 2.5%
138 Mayfield Heights 8.9% 21.3% 9.8% 25.7% -9.2% -17.1%
139 Mentor-on-the-Lake 8.8% 29.5% 10.0% 42.3% -12.0% -30.3%
140 Oberlin 8.8% 23.4% 13.1% 26.9% -32.8% -13.0%
141 Tallmadge 8.7% 48.6% 7.5% 40.8% 16.0% 19.1%
142 Brookville 8.6% 44.5% 9.3% 45.8% -7.5% -2.8%
143 Wauseon 8.5% 58.3% 13.5% 73.1% -37.0% -20.2%
144 Forest Park 8.4% 58.1% 8.7% 64.3% -3.4% -9.6%
145 Vandalia 8.4% 33.3% 8.6% 23.9% -2.3% 39.3%
146 Sheffield Lake 8.3% 46.9% 13.2% 47.0% -37.1% -0.2%
147 Delaware 8.3% 40.8% 10.1% 42.7% -17.8% -4.4%
148 Willowick 8.2% 34.4% 8.5% 41.0% -3.5% -16.1%
149 Hubbard 8.1% 41.1% 8.4% 56.7% -3.6% -27.5%
150 Groveport 8.0% 38.3% 9.1% 33.0% -12.1% 16.1%
151 Columbiana 8.0% 27.1% 8.2% 33.8% -2.4% -19.8%
152 Eastlake 7.9% 43.1% 8.2% 42.9% -3.7% 0.5%
153 Willoughby 7.9% 34.0% 7.3% 28.2% 8.2% 20.6%
154 Reynoldsburg 7.8% 62.6% 10.4% 59.5% -25.0% 5.2%
155 Brunswick 7.8% 32.3% 7.7% 35.7% 1.3% -9.5%
156 Miamisburg 7.5% 48.9% 8.0% 53.7% -6.3% -8.9%
157 Inexperienced 7.4% 49.5% 7.5% 45.8% -1.3% 8.1%
158 Kettering 7.3% 54.4% 8.1% 54.3% -9.9% 0.2%
159 Vermilion 7.0% 36.9% 7.2% 49.1% -2.8% -24.8%
160 Munroe Falls 6.9% 81.5% 7.8% 71.9% -11.5% 13.4%
161 Clyde 6.7% 8.9% 7.0% 36.4% -4.3% -75.5%
162 Trenton 6.6% 63.8% 7.5% 71.3% -12.0% -10.5%
163 Fairfield 6.6% 60.2% 5.9% 55.0% 11.9% 9.5%
164 North Olmsted 6.5% 58.1% 7.2% 51.2% -9.7% 13.5%
165 Berea 6.4% 24.2% 9.0% 26.1% -28.9% -7.3%
166 Clayton 6.2% 70.7% 5.2% 56.0% 19.2% 26.3%
167 Marysville 6.2% 23.8% 6.9% 26.4% -10.1% -9.8%
168 College Heights 6.1% 26.4% 5.2% 45.5% 17.3% -42.0%
169 North Ridgeville 5.7% 49.6% 4.8% 55.0% 18.8% -9.8%
170 Delphos 5.6% 56.5% 6.5% 62.8% -13.8% -10.0%
171 Mentor 5.6% 45.0% 4.4% 46.1% 27.3% -2.4%
172 Huron 5.5% 62.4% 9.0% 68.4% -38.9% -8.8%
173 Fairview Park 5.5% 50.5% 7.1% 41.1% -22.5% 22.9%
174 Fairlawn 5.4% 72.7% 5.6% 62.8% -3.6% 15.8%
175 St. Clairsville 5.4% 45.9% 6.0% 41.4% -10.0% 10.9%
176 Centerville 5.3% 58.0% 5.4% 57.8% -1.9% 0.3%
177 Amherst 5.3% 49.2% 5.4% 48.4% -1.9% 1.7%
178 Milford 5.3% 47.7% 6.2% 22.7% -14.5% 110.1%
179 Wadsworth 5.3% 38.0% 5.2% 49.1% 1.9% -22.6%
180 Cortland 5.3% 21.1% 6.3% 64.9% -15.9% -67.5%
181 Loveland 5.2% 46.4% 5.5% 55.6% -5.5% -16.5%
182 Grove Metropolis 5.1% 55.7% 6.4% 47.0% -20.3% 18.5%
183 Maumee 5.0% 38.6% 5.8% 45.7% -13.8% -15.5%
184 Westerville 5.0% 37.7% 5.2% 36.1% -3.8% 4.4%
185 Bellbrook 4.9% 93.2% 3.4% 100.0% 44.1% -6.8%
186 Norton 4.9% 46.6% 5.9% 43.9% -16.9% 6.2%
187 Sylvania 4.9% 25.9% 6.9% 32.0% -29.0% -19.1%
188 Willoughby Hills 4.8% 18.4% 6.1% 26.7% -21.3% -31.1%
189 Bexley 4.6% 73.4% 5.5% 52.1% -16.4% 40.9%
190 Union 4.6% 58.1% 5.2% 58.3% -11.5% -0.3%
191 Rocky River 4.6% 26.8% 3.9% 31.7% 17.9% -15.5%
192 Strongsville 4.6% 25.4% 3.5% 51.8% 31.4% -51.0%
193 Deer Park 4.4% 51.3% 4.0% 69.0% 10.0% -25.7%
194 Rossford 4.4% 47.8% 3.7% 43.6% 18.9% 9.6%
195 Wickliffe 4.3% 38.4% 6.5% 52.0% -33.8% -26.2%
196 Harrison 4.3% 37.9% 6.0% 39.4% -28.3% -3.8%
197 Sharonville 4.2% 87.4% 3.7% 71.9% 13.5% 21.6%
198 New Franklin 4.2% 44.2% 4.2% 36.6% 0.0% 20.8%
199 Stow 4.1% 35.6% 4.1% 32.9% 0.0% 8.2%
200 Twinsburg 4.0% 46.6% 5.1% 56.9% -21.6% -18.1%
201 Middleburg Heights 4.0% 36.4% 5.6% 33.2% -28.6% 9.6%
202 Wyoming 3.9% 55.4% 4.6% 58.3% -15.2% -5.0%
203 North Canton 3.9% 55.3% 4.4% 45.6% -11.4% 21.3%
204 Oakwood 3.8% 34.6% 4.4% 45.9% -13.6% -24.6%
205 Lyndhurst 3.8% 28.0% 3.6% 36.8% 5.6% -23.9%
206 Canal Winchester 3.8% 24.8% 1.7% 21.8% 123.5% 13.8%
207 Avon Lake 3.7% 43.7% 4.0% 36.4% -7.5% 20.1%
208 Seven Hills 3.7% 42.7% 2.9% 22.7% 27.6% 88.1%
209 North Royalton 3.7% 38.9% 4.2% 34.7% -11.9% 12.1%
210 Kirtland 3.7% 20.8% 3.3% 68.7% 12.1% -69.7%
211 Macedonia 3.5% 67.9% 1.7% 66.2% 105.9% 2.6%
212 Hilliard 3.5% 64.4% 5.1% 61.0% -31.4% 5.6%
213 Oxford 3.5% 48.6% 3.7% 23.8% -5.4% 104.2%
214 Blue Ash 3.4% 74.4% 3.6% 72.9% -5.6% 2.1%
215 Pickerington 3.3% 79.5% 6.4% 68.8% -48.4% 15.6%
216 Ontario 3.2% 94.0% 2.4% 88.9% 33.3% 5.7%
217 Avon 3.2% 70.6% 3.0% 65.6% 6.7% 7.6%
218 Waterville 3.2% 55.6% 1.8% 0.0% 77.8% —
219 Beavercreek 3.1% 47.7% 3.2% 57.7% -3.1% -17.3%
220 Broadview Heights 3.1% 42.2% 2.0% 63.2% 55.0% -33.2%
221 Perrysburg 3.1% 26.7% 4.1% 24.7% -24.4% 8.1%
222 Dublin 3.0% 48.6% 2.0% 55.0% 50.0% -11.6%
223 Olmsted Falls 2.9% 56.5% 4.2% 54.9% -31.0% 2.9%
224 Beachwood 2.6% 62.9% 2.7% 60.9% -3.7% 3.3%
225 Aurora 2.6% 45.5% 3.5% 45.5% -25.7% 0.0%
226 Gahanna 2.6% 33.5% 3.4% 57.8% -23.5% -42.0%
227 Tipp Metropolis 2.4% 7.0% 3.5% 6.9% -31.4% 1.4%
228 Solon 2.2% 69.9% 2.2% 60.3% 0.0% 15.9%
229 Canfield 2.2% 24.2% 2.7% 39.5% -18.5% -38.7%
230 Monroe 2.1% 55.1% 2.5% 51.1% -16.0% 7.8%
231 Bay Village 2.1% 24.0% 2.5% 18.4% -16.0% 30.4%
232 Highland Heights 1.9% 75.8% 2.2% 47.9% -13.6% 58.2%
233 Hudson 1.8% 35.4% 2.2% 51.4% -18.2% -31.1%
234 Westlake 1.7% 74.2% 2.3% 52.5% -26.1% 41.3%
235 The Village of Indian Hill 1.7% 63.2% 1.7% 60.0% 0.0% 5.3%
236 Mason 1.6% 43.0% 3.1% 29.9% -48.4% 43.8%
237 Pepper Pike 1.4% 21.9% 0.0% 100.0% — -78.1%
238 Madeira 1.3% 0.0% 1.3% 0.0% 0.0% —
239 Worthington 1.3% 0.0% 1.9% 8.5% -31.6% -100.0%
240 Grandview Heights 1.1% 0.0% 0.2% 0.0% 450.0% —
241 Higher Arlington 1.0% 51.4% 1.3% 48.6% -23.1% 5.8%
242 Brecksville 1.0% 16.1% 1.1% 15.0% -9.1% 7.3%
243 Springboro 0.9% 18.6% 1.2% 11.7% -25.0% 59.0%
244 Montgomery 0.2% 0.0% 0.0% 0.0% — —

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Ohio

Former Ohio State Swimmer Hunter Armstrong Wins Gold Medal in 4×100-Meter Freestyle Relay

Published

4 hours ago

on

July 27, 2024

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Former Ohio State Swimmer Hunter Armstrong Wins Gold Medal in 4×100-Meter Freestyle Relay


Hunter Armstrong is now a two-time Olympic gold medalist.

The former Ohio State swimmer won gold on Saturday as a member of the United States’ 4×100-meter freestyle relay team, which finished first in the finals with a time of 3:09.28 to beat out Australia (3:10.35) and Italy (3:10.7) for the top spot on the podium.

It was the first gold for Team USA at the 2024 Paris Olympics. And Armstrong delivered the fastest leg.

Team USA got off to something of a slow start, hitting the wall in second place through the first leg. But Chris Guiliano pulled the Americans ahead by about half a body length entering Armstrong’s leg.

Armstrong put on a staggering display in his third leg, swimming it in 46.75 seconds, the fastest of the relay for the Americans. He had a full body length and then some when he hit the wall, and Caeleb Dressel delivered the gold with a 47.5-second anchor leg for Team USA.

Armstrong’s leg was .05 seconds faster than the world record of 46.8 seconds in the 100-meter freestyle, though only the first leg of a relay counts toward the 100-meter record.

Armstrong wins gold as a member of a relay team for the second Olympics in a row as he won his first Olympic gold medal as a member of the 4×100 medley relay team in Tokyo, where he swam the backstroke for Team USA in the preliminary round.

He’ll chase another medal as an individual in the 100-meter backstroke, which begins with qualifying heats and semifinals on Sunday. He finished ninth in the event in Tokyo but took bronze medals at both the 2022 and 2023 World Aquatics Championships. He won gold at the 2023 Worlds in the 50-meter backstroke, which is not an Olympic event.

RELATED Former Ohio State Swimmer Hunter Armstrong Overcomes Year of Mental Health Struggles, Heartbreak and Semifinal Slip to Qualify for Paris Olympics

Armstrong was one of four Buckeyes to compete on the first full day of Olympic events on Saturday.

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Former Ohio State fencer Fares Arfa, who is competing for Canada, pulled off one of the day’s biggest upsets when he defeated three-time defending gold medalist Áron Szilágyi in the first round of the men’s sabre competition. He advanced to the quarterfinals to earn an eighth-place finish, Canada’s best-ever finish in an individual fencing competition.

Former Ohio State pistol shooter Katelyn Abeln, who is competing for the United States, finished 24th in the qualifying round for the 10-meter women’s air pistol. Current Ohio State diver Leah Hentschel, who is representing Germany, finished sixth in the 3-meter synchronized dive.

RELATED 24 Current, Former and Incoming Ohio State Athletes Participating in 2024 Paris Olympics





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Ohio

Some Northeast Ohio Catholic churches begin merger

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11 hours ago

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July 27, 2024

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Some Northeast Ohio Catholic churches begin merger


There is still a shortage of priests in Northeast Ohio as the Catholic Diocese of Youngstown continues its plan to merge churches.

It’s a plan that the late Bishop Murry began to roll out before he died.

“When I was ordained over 37 years ago, we had about 150 active priest, now we are facing a decline,” says Monsignor John Zuraw of the Youngstown Catholic Diocese.

Zuraw says it’s been a challenge.

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“In 2024, there are 42 of us that are ministering within the six counties of the Diocese of Youngstown,” Zuraw said.

Stark, Portage and Trumbull Counties began to merge on July 1. In Canton, Saint Peter and the Basilica of Saint John the Baptist are now known as The Basilica of Saint John the Baptist and Saint Peter Parish.

Tom Sosnowski started attending the St. John Basilica in 1977 and says the change was needed and should not have been a surprise.

“A person was not expecting it? That was really silly,” Sosnowski said.

He told me it’s pretty obvious that the population Downtown has dwindled.

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“Don’t have enough priests. I mean, if they did, still one would wonder about the financial viability of paying two priests and having two parishes; that becomes a rather expensive proposition. It’s expensive enough to maintain two buildings, especially two large buildings. They’re doing that, though,” he said.

In Niles, St. Stephen’s Church and Our Lady of Mount Carmel joined to form St. Pope John the XXIII.

Under the plan, a priest may be pulling double duty, overseeing multiple parishes with staggered services. The church buildings will remain open.

“The merged units, especially help where there’s not a multiplication of meetings, but rather there’s one finance council meeting, there’s one parish council meeting. So that does, in fact, save some time, it saves some energy,” Zuraw said.





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Ohio

Lawmaker takes action after Ohio Supreme Court rules 'boneless' chicken wings can have bones

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18 hours ago

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July 27, 2024

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Lawmaker takes action after Ohio Supreme Court rules 'boneless' chicken wings can have bones


COLUMBUS, Ohio — The Ohio Supreme Court ruled that a man who ordered boneless wings should have expected bones to be in them, denying him a jury trial after he suffered major injuries, including several surgeries and two medically induced comas. A state legislator is so outraged by the decision that he plans to propose a bill to change the law.

State Sen. Bill DeMora (D-Columbus) is an avid wing fan, having weekly wing nights with his friends when he was in college. Just recently, he went to an all-you-can-eat boneless wings event.

“I did not expect to have a bone in my boneless wings,” DeMora said.

But that isn’t how the state sees it.

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Chicken wings advertised as ‘boneless’ can have bones, Ohio Supreme Court decides

The case

Back in 2017, Michael Berkheimer ordered boneless wings at Wings on Brookwood in Southwest Ohio, according to his lawsuit filed in Butler County. The menu of the restaurant was included the court documents and did not feature any disclaimer saying bone fragments could be in the food. As of Friday, it still doesn’t.

He had cut up his wing into thirds, eating the first two pieces of it normally. On his third one, Berkheimer felt like something went down the wrong “pipe,” the court documents said. He ran to the restroom and tried to vomit, unsuccessfully. That night, he developed a fever, and for the next two days, he couldn’t eat a bite of food without throwing up, records state.

He was rushed to the ER with a 105-degree fever, the lawsuit states. Doctors found a 1 and 3/8 inch chicken bone in his throat, one that tore open the wall of his esophagus. From there, he developed a “massive infection in his thoracic cavity,” the document says.

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“The severity of the infection, which centered on Mr. Berkheimer’s heart and lungs, required several surgeries, two medically induced comas, and a week-long stay in intensive care, followed by two-to-three additional weeks in the hospital,” the lawsuit states.

The medical issues are still ongoing, records state.

Berkheimer sued the restaurant and their chicken suppliers, arguing that the sellers’ “negligence” led to his injuries.

Both the Butler County Court of Common Pleas and the Twelfth District Court of Appeals sided against Berkheimer, arguing that “common sense dictated the presence of bone fragments in meat dishes,” according to the courts. Neither court let the case go to trial.

Supreme Court

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On Thursday, the majority of the Ohio Supreme Court ruled that the lower courts made the right decision, denying Berkheimer the ability to continue his lawsuit to a jury trial. The court was split four Republicans to three Democrats.

The justices were just supposed to decide whether or not it could go to trial, Case Western Reserve University law professor Jonathan Entin said.

“The majority said no way this case shouldn’t go to trial at all because no reasonable consumer would think that boneless chicken wings might not have bones in them, especially since bones are part of chickens,” Entin explained.

The court didn’t believe a jury would rule in Berkheimer’s favor, he said.

In the majority opinion, Justice Joe Deters wrote that the restaurant wasn’t liable “when the consumer could have reasonably expected and guarded against the presence of the injurious substance in the food.”

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Deters added that “boneless wings” are a cooking style, according to the opinion. He compared “boneless wings” to the food “chicken fingers,” noting that people would not actually think they are eating fingers.

The courts used the ‘Allen test’ method to determine negligence, which evaluates both if the harmful substance was foreign to the food or natural and whether the customer could reasonably guard against it. They found that the bone was natural and large in comparison to the piece of chicken.

“Any reasonable consumer should have been able to find it,” Entin said, explaining the court’s opinion.

The Democrats emphatically dissented.

“The result in this case is another nail in the coffin of the American jury system,” dissenting opinion author Justice Michael Donnelly said.

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The case is merely about whether Berkheimer can have a jury of his peers decide if the restaurant and suppliers were negligent according to law, he said.

“The majority opinion makes a factual determination to ensure that a jury does not have a chance to apply something the majority opinion lacks— common sense,” the justice continued.

He continued on to explain that they didn’t have the full facts, being unable to see what the bone looked like.

“If it did, then I suggest that the majority suffers from a serious, perhaps disingenuous, lack of perspective,” the justice said.

The idea that the label “boneless wing” is a cooking style is “Jabberwocky,” the Democrat said, saying the absurdity of the opinion reads like a “Lewis Carroll piece of fiction.”

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This could have ripple effects, Donnelly argued. For people who are nut, dairy or gluten-free, the court seemed to have decided that if they order allergy-free food, it could still have the allergen because that is “natural” to the food.

Deters responded to this, claiming it was different.

“But unlike the presence of the bone in this case, the presence of lactose or gluten in a food that was advertised as lactose-free or gluten-free is not something a consumer would customarily expect and be able to guard against,” Deters said.

It’s a lot harder to detect gluten or lactose than it is to detect a bone, Entin explained.

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This is insane, DeMora said.

“This defies logic, it defies reason, it defies common sense,” DeMora said. “Now the definition of boneless, according to the Ohio Supreme Court, means… it could have a bone.”

The justices are blocking Berkheimer from having a jury trial because they don’t care about the “regular Ohioan,” he said.

“You get screwed out of your day in court because we have to protect our donors and our corporations more than we protect our citizens,” the lawmaker said.

DeMora has already directed his team to start looking into what they can do to help Berkheimer and other Ohioans.

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“We can’t really pass a law saying that boneless chicken means there’s no bones in it — Although maybe we can, I don’t know. If that’s possible, I’m gonna do it for sure.”

Regardless of that idea, he is also researching other consumer protection provisions he can draft bills around, he said.

Berkheimer’s attorney, Robb Stokar, agreed that this case wasn’t fair.

“I believe the dissent correctly wrote that the ruling was “another nail in the coffin of the American jury system.” Mr. Berkheimer suffered catastrophic injuries from a bone contained in a menu item unambiguously advertised as “boneless” at every level of commerce. All we asked is that a jury be able to make a commonsense determination as to whether he should be able to recover for his injuries. But the Court’s majority ruled otherwise, simultaneously denying him that opportunity, and rendering the word “boneless” completely meaningless,” Stokar told me.

Some of these justices are up for reelection, so Entin anticipates some politicos could put ads up about this decision — especially because Deters’ tone did not need to be as harsh as it was.

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“You don’t have to get into all of the technical details of legal doctrine to be able to say this is a decision that shows that a majority of the current court are not sympathetic to ordinary people who get hurt through, basically, no fault of their own,” Entin said.

Deters, Donnelly and dissenting Justice Melody Stewart are all up for election in November.

“Boneless means without bones,” DeMora said. “I can’t understand the logic of the Republican majority.”

Follow WEWS statehouse reporter Morgan Trau on Twitter and Facebook.





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