2025

Cities in Ohio ranked by Non-Hispanic Asian Population

This list ranks the 935 cities in Ohio based on their Non-Hispanic Asian population, as estimated by the United States Census Bureau. It also highlights population changes in these cities over the past five years.
Updated Feb 13, 2025

Top 5 cities with the largest Non-Hispanic Asian population in Ohio

View All
  • 1
    Columbus
    Non-Hispanic Asian population in Columbus is 64,285
    6.50% of Columbus population is Non-Hispanic Asian
  • 2
    Dublin
    Non-Hispanic Asian population in Dublin is 10,508
    20.59% of Dublin population is Non-Hispanic Asian
  • 3
    Akron
    Non-Hispanic Asian population in Akron is 10,049
    4.84% of Akron population is Non-Hispanic Asian
  • 4
    Cincinnati
    Non-Hispanic Asian population in Cincinnati is 11,426
    3.43% of Cincinnati population is Non-Hispanic Asian
  • 5
    Cleveland
    Non-Hispanic Asian population in Cleveland is 10,185
    2.51% of Cleveland population is Non-Hispanic Asian

List of 935 cities in Ohio by Non-Hispanic Asian Population

View Methodology
Rank by Non-Hispanic Asian Population
City
Non-Hispanic Asian Population
% of Total City Population
% of Total Ohio Non-Hispanic Asian Population
5 Year Rank Trend
1 Columbus 64,285 6.50% 22.84%
2 Dublin 10,508 20.59% 3.73%
3 Akron 10,049 4.84% 3.57%
4 Cincinnati 11,426 3.43% 4.06%
5 Cleveland 10,185 2.51% 3.62%
6 Mason 5,379 14.63% 1.91%
7 Toledo 5,238 1.79% 1.86%
8 3,859 8.12% 1.37%
9 3,593 7.36% 1.28%
10 3,961 15.40% 1.41%
11 3,394 6.36% 1.21%
12 3,086 7.83% 1.10%
13 3,280 8.53% 1.17%
14 3,175 7.08% 1.13%
15 3,045 6.50% 1.08%
16 3,214 6.87% 1.14%
17 2,829 7.89% 1.01%
18 3,372 6.61% 1.20%
19 2,401 2.77% 0.85%
20 1,982 8.52% 0.70%
21 2,637 1.79% 0.94%
22 1,762 12.70% 0.63%
23 1,635 8.44% 0.58%
24 1,902 9.42% 0.68%
25 1,642 9.67% 0.58%
26 1,568 10.65% 0.56%
27 1,612 3.27% 0.57%
28 1,997 9.03% 0.71%
29 1,868 5.72% 0.66%
30 1,618 10.87% 0.57%
31 1,958 4.21% 0.70%
32 1,324 7.00% 0.47%
33 1,929 5.05% 0.69%
34 1,639 3.09% 0.58%
35 1,473 5.73% 0.52%
36 1,689 5.50% 0.60%
37 1,348 3.74% 0.48%
38 1,299 4.85% 0.46%
39 1,888 4.59% 0.67%
40 1,805 2.96% 0.64%
41 1,914 7.68% 0.68%
42 1,186 5.53% 0.42%
43 1,448 12.31% 0.51%
44 1,140 9.31% 0.41%
45 1,048 5.08% 0.37%
46 1,196 2.83% 0.42%
47 1,142 3.95% 0.41%
48 1,192 2.70% 0.42%
49 1,136 3.36% 0.40%
50 1,149 1.91% 0.41%
51 1,240 4.28% 0.44%
52 1,295 5.42% 0.46%
53 882 6.98% 0.31%
54 1,306 4.96% 0.46%
55 939 12.54% 0.33%
56 999 6.84% 0.35%
57 877 3.34% 0.31%
58 684 11.94% 0.24%
59 735 2.60% 0.26%
60 898 3.40% 0.32%
61 959 8.05% 0.34%
62 891 3.40% 0.32%
63 710 3.57% 0.25%
64 751 8.21% 0.27%
65 805 1.46% 0.29%
66 789 2.68% 0.28%
67 1,076 2.80% 0.38%
68 645 4.64% 0.23%
69 762 4.19% 0.27%
70 595 4.81% 0.21%
71 703 3.82% 0.25%
72 588 2.67% 0.21%
73 680 3.04% 0.24%
74 542 4.51% 0.19%
75 485 4.82% 0.17%
76 543 8.68% 0.19%
77 544 1.30% 0.19%
78 682 1.27% 0.24%
79 725 3.34% 0.26%
80 683 0.89% 0.24%
81 632 4.27% 0.22%
82 674 3.32% 0.24%
83 819 1.19% 0.29%
84 463 4.10% 0.16%
85 527 1.84% 0.19%
86 632 1.65% 0.22%
87 541 1.68% 0.19%
88 446 2.30% 0.16%
88 611 3.36% 0.22%
89 483 2.29% 0.17%
90 374 7.48% 0.13%
91 532 2.35% 0.19%
92 539 3.36% 0.19%
93 514 0.77% 0.18%
94 429 6.95% 0.15%
95 592 1.13% 0.21%
96 506 3.71% 0.18%
96 802 1.26% 0.28%
97 363 3.02% 0.13%
98 407 1.99% 0.14%
99 439 1.93% 0.16%
100 628 4.43% 0.22%
101 586 0.74% 0.21%
102 417 11.47% 0.15%
103 591 2.97% 0.21%
104 661 6.54% 0.23%
105 677 4.15% 0.24%
106 390 3.44% 0.14%
107 548 5.91% 0.19%
108 584 1.35% 0.21%
108 476 3.09% 0.17%
109 851 1.65% 0.30%
110 287 3.50% 0.10%
111 280 1.30% 0.10%
112 277 4.05% 0.10%
113 310 4.81% 0.11%
113 272 7.34% 0.10%
114 421 4.20% 0.15%
115 466 1.74% 0.17%
116 302 1.67% 0.11%
117 367 2.53% 0.13%
118 341 4.47% 0.12%
119 414 2.88% 0.15%
120 474 3.34% 0.17%
121 377 1.51% 0.13%
122 252 2.90% 0.09%
122 376 1.37% 0.13%
123 357 1.44% 0.13%
124 319 1.28% 0.11%
125 314 1.62% 0.11%
126 515 5.59% 0.18%
127 357 1.64% 0.13%
128 214 1.79% 0.08%
129 208 3.09% 0.07%
129 307 2.26% 0.11%
130 734 7.83% 0.26%
130 207 2.99% 0.07%
131 386 2.00% 0.14%
131 279 2.06% 0.10%
132 234 1.77% 0.08%
133 233 1.62% 0.08%
134 308 2.73% 0.11%
135 333 3.09% 0.12%
136 272 1.47% 0.10%
137 696 1.86% 0.25%
138 264 4.09% 0.09%
139 282 0.72% 0.10%
140 436 1.28% 0.15%
140 368 1.34% 0.13%
141 326 1.65% 0.12%
142 245 6.21% 0.09%
143 222 4.66% 0.08%
144 237 3.18% 0.08%
145 230 3.72% 0.08%
146 267 1.92% 0.09%
147 268 3.37% 0.10%
147 162 1.81% 0.06%
148 177 20.87% 0.06%
149 155 1.14% 0.06%
150 189 0.97% 0.07%
151 434 6.13% 0.15%
152 179 0.74% 0.06%
153 174 0.82% 0.06%
154 327 1.96% 0.12%
155 135 2.38% 0.05%
156 230 5.03% 0.08%
157 154 3.92% 0.05%
158 267 1.14% 0.09%
159 146 6.27% 0.05%
160 126 39.25% 0.04%
161 272 0.70% 0.10%
162 165 3.00% 0.06%
163 118 3.28% 0.04%
164 168 4.20% 0.06%
165 130 1.69% 0.05%
166 148 0.54% 0.05%
167 236 1.33% 0.08%
168 226 4.33% 0.08%
168 112 2.61% 0.04%
169 199 1.66% 0.07%
170 159 1.47% 0.06%
171 379 6.84% 0.13%
172 127 1.15% 0.05%
173 256 1.40% 0.09%
173 126 2.28% 0.04%
174 142 0.73% 0.05%
174 100 1.10% 0.04%
174 207 5.08% 0.07%
175 112 5.01% 0.04%
175 93 1.08% 0.03%
176 258 1.70% 0.09%
177 153 1.09% 0.05%
178 92 4.33% 0.03%
179 163 0.81% 0.06%
180 151 5.72% 0.05%
181 332 4.98% 0.12%
182 90 1.13% 0.03%
183 154 3.90% 0.05%
184 74 1.00% 0.03%
185 73 1.81% 0.03%
186 80 1.05% 0.03%
187 83 2.97% 0.03%
188 146 1.88% 0.05%
189 67 0.60% 0.02%
190 174 1.35% 0.06%
191 64 2.17% 0.02%
192 149 0.80% 0.05%
192 63 4.32% 0.02%
193 88 2.03% 0.03%
193 78 2.94% 0.03%
194 73 1.18% 0.03%
194 227 3.17% 0.08%
195 74 2.18% 0.03%
196 307 2.03% 0.11%
196 68 0.77% 0.02%
197 116 0.79% 0.04%
197 370 1.60% 0.13%
197 115 1.07% 0.04%
198 103 10.17% 0.04%
199 69 1.45% 0.02%
200 92 1.23% 0.03%
201 125 0.71% 0.04%
201 60 1.64% 0.02%
201 80 2.97% 0.03%
201 73 1.54% 0.03%
202 166 5.75% 0.06%
202 49 0.77% 0.02%
203 64 1.04% 0.02%
204 199 1.07% 0.07%
204 44 0.94% 0.02%
204 56 0.55% 0.02%
204 48 0.45% 0.02%
205 46 2.97% 0.02%
205 115 1.34% 0.04%
206 42 2.21% 0.01%
206 44 5.33% 0.02%
207 288 2.81% 0.10%
208 44 2.80% 0.02%
208 45 0.82% 0.02%
208 79 1.20% 0.03%
209 71 1.51% 0.03%
210 43 2.94% 0.02%
210 45 1.44% 0.02%
210 38 1.79% 0.01%
211 67 0.59% 0.02%
212 102 0.38% 0.04%
212 88 0.59% 0.03%
212 77 5.16% 0.03%
212 35 2.65% 0.01%
213 34 1.07% 0.01%
214 33 0.88% 0.01%
214 42 2.66% 0.01%
214 48 0.65% 0.02%
215 32 0.30% 0.01%
215 73 0.56% 0.03%
216 31 1.34% 0.01%
217 30 0.67% 0.01%
217 42 6.36% 0.01%
217 33 1.81% 0.01%
217 44 4.80% 0.02%
217 97 3.66% 0.03%
218 29 7.86% 0.01%
218 47 0.40% 0.02%
219 66 0.58% 0.02%
219 44 4.91% 0.02%
219 64 2.50% 0.02%
220 95 2.34% 0.03%
220 37 1.35% 0.01%
220 42 0.74% 0.01%
220 61 5.45% 0.02%
221 26 0.64% 0.01%
221 162 1.12% 0.06%
221 61 1.14% 0.02%
221 26 0.62% 0.01%
221 36 0.73% 0.01%
221 81 0.54% 0.03%
222 25 1.33% 0.01%
222 93 0.80% 0.03%
222 75 0.23% 0.03%
223 48 0.69% 0.02%
223 55 1.95% 0.02%
223 27 0.66% 0.01%
224 25 2.29% 0.01%
224 85 2.00% 0.03%
224 34 1.49% 0.01%
225 22 2.13% 0.01%
226 21 0.76% 0.01%
227 128 0.93% 0.05%
227 20 1.79% 0.01%
227 21 4.49% 0.01%
227 34 1.73% 0.01%
227 55 1.00% 0.02%
227 80 7.76% 0.03%
228 19 0.61% 0.01%
228 22 3.09% 0.01%
229 18 0.87% 0.01%
229 120 0.86% 0.04%
230 24 0.84% 0.01%
231 16 6.40% 0.01%
231 99 1.00% 0.04%
231 16 0.36% 0.01%
231 16 0.59% 0.01%
231 65 0.48% 0.02%
232 15 0.73% 0.01%
232 15 0.16% 0.01%
232 38 1.08% 0.01%
232 27 0.76% 0.01%
232 15 1.30% 0.01%
232 15 4.05% 0.01%
233 14 2.07% -
233 25 1.15% 0.01%
233 37 1.82% 0.01%
233 14 0.72% -
233 14 0.33% -
234 13 1.19% -
234 13 0.62% -
235 12 0.71% -
235 12 0.09% -
235 87 1.10% 0.03%
235 26 0.84% 0.01%
235 12 2.27% -
235 18 0.80% 0.01%
235 12 0.83% -
236 23 1.96% 0.01%
236 55 1.68% 0.02%
236 34 3.18% 0.01%
236 22 1.61% 0.01%
236 11 0.37% -
236 13 1.29% -
236 11 0.86% -
236 11 1.03% -
237 22 1.90% 0.01%
237 10 3.05% -
237 43 1.53% 0.02%
237 13 0.47% -
237 13 0.85% -
237 11 10.28% -
237 25 4.30% 0.01%
237 27 1.29% 0.01%
238 9 1.48% -
238 9 1.89% -
238 10 2.71% -
238 20 0.51% 0.01%
238 13 0.53% -
238 22 0.89% 0.01%
238 72 1.05% 0.03%
238 26 0.36% 0.01%
239 8 0.43% -
239 22 1.37% 0.01%
239 9 0.73% -
239 8 0.20% -
239 26 2.53% 0.01%
239 11 3.45% -
239 8 3.54% -
239 8 0.61% -
239 8 0.98% -
239 8 1.87% -
239 8 1.89% -
240 7 2.07% -
240 53 1.53% 0.02%
240 23 2.48% 0.01%
240 28 0.81% 0.01%
241 8 1.11% -
241 17 1.62% 0.01%
241 6 0.88% -
241 12 0.82% -
241 15 1.58% 0.01%
241 6 0.52% -
241 19 1.88% 0.01%
241 21 3.20% 0.01%
241 57 0.88% 0.02%
241 11 1.23% -
241 114 6.12% 0.04%
241 6 0.25% -
241 6 1.71% -
242 5 0.83% -
242 13 1.19% -
242 5 1.08% -
242 5 0.93% -
242 5 3.57% -
242 5 1.84% -
242 21 1.27% 0.01%
243 4 0.72% -
243 9 1.18% -
243 27 4.60% 0.01%
243 6 0.68% -
243 4 0.71% -
243 4 0.19% -
243 12 0.42% -
243 12 1.08% -
243 7 0.48% -
244 10 0.51% -
244 3 0.48% -
244 3 0.27% -
244 3 0.07% -
244 10 0.71% -
244 6 1.56% -
244 3 0.51% -
244 3 2.61% -
244 3 0.29% -
244 3 0.16% -
244 16 0.64% 0.01%
244 3 0.44% -
244 4 0.41% -
244 3 0.54% -
244 19 1.38% 0.01%
244 3 2.94% -
244 22 1.60% 0.01%
244 3 1.57% -
244 6 1.44% -
244 7 1.87% -
244 10 1.75% -
245 2 0.42% -
245 2 0.66% -
245 6 1.95% -
245 2 0.29% -
245 2 1.92% -
245 2 0.13% -
245 4 0.25% -
245 6 1.35% -
245 2 0.67% -
245 2 0.23% -
245 2 0.90% -
245 15 1.94% 0.01%
245 18 1.89% 0.01%
245 2 0.33% -
245 7 0.51% -
245 2 0.18% -
245 4 0.39% -
245 5 0.62% -
245 4 0.62% -
245 11 0.64% -
245 2 1.40% -
245 5 0.39% -
245 101 0.71% 0.04%
245 8 0.72% -
245 2 0.12% -
246 14 2.06% -
246 6 6.45% -
246 1 0.03% -
246 10 2.11% -
246 20 0.61% 0.01%
246 1 0.07% -
246 3 0.26% -
246 1 0.05% -
246 1 0.39% -
246 1 0.70% -
246 1 0.59% -
246 1 0.18% -
246 1 0.63% -
246 18 1.06% 0.01%
246 1 0.33% -
246 3 0.82% -
247 1 0.13% -
247 3 0.42% -
247 3 1.22% -
247 24 0.51% 0.01%
247 2 0.31% -
247 4 0.60% -
247 12 0.10% -
247 1 0.19% -
247 10 1.45% -
247 1 0.10% -
247 4 0.19% -
247 6 0.81% -
247 1 0.31% -
247 5 0.30% -
247 12 0.38% -
247 101 1.09% 0.04%
247 10 0.49% -
247 9 1.06% -
247 2 0.85% -
247 70 1.07% 0.02%
247 32 0.43% 0.01%
247 37 1.70% 0.01%
247 2 0.54% -
247 89 1.76% 0.03%
247 8 0.81% -
247 9 0.11% -
247 5 0.23% -
247 5 0.30% -
247 3 0.20% -
247 10 0.37% -
247 3 0.44% -
247 33 19.19% 0.01%
247 60 0.94% 0.02%
247 164 2.59% 0.06%
247 4 1.42% -
247 5 1.03% -
247 41 0.62% 0.01%
247 6 1.42% -
247 23 2.79% 0.01%
247 2 0.34% -
247 7 0.27% -
247 12 0.36% -
247 22 0.30% 0.01%
247 69 4.75% 0.02%
247 5 0.38% -
247 2 0.51% -
247 14 1.36% -
247 38 1.67% 0.01%
247 4 0.36% -
247 83 7.90% 0.03%
247 3 1.90% -
247 9 0.59% -
247 14 0.40% -
247 3 0.85% -
247 9 0.52% -
247 12 1.60% -
247 3 1.15% -
247 8 0.23% -
247 5 0.80% -
247 9 1.49% -
247 32 0.90% 0.01%
247 10 0.38% -
247 11 1.95% -
247 1 0.34% -
247 16 0.87% 0.01%
247 43 0.48% 0.02%
247 9 0.37% -
247 4 0.37% -
247 23 0.49% 0.01%
247 21 0.75% 0.01%
247 4 0.22% -
247 41 0.22% 0.01%
247 7 1.64% -
247 4 0.25% -
247 12 1.31% -
247 1 0.06% -
247 11 0.17% -
247 2 0.53% -
247 15 1.49% 0.01%
247 9 1.50% -
247 2 0.57% -
247 25 3.26% 0.01%
247 6 0.81% -
247 9 0.22% -
247 6 0.73% -
247 15 2.95% 0.01%
247 102 3.35% 0.04%
247 12 2.96% -
247 27 1.19% 0.01%
247 14 0.65% -
247 5 0.82% -
247 2 0.33% -
247 20 0.74% 0.01%
247 10 1.55% -
247 7 2.39% -
247 2 0.70% -
247 18 0.26% 0.01%
247 55 0.53% 0.02%
247 2 0.35% -
247 15 2.19% 0.01%
247 8 0.29% -
247 38 2.85% 0.01%
247 19 0.43% 0.01%
247 4 1.02% -
247 14 0.85% -
247 4 1.74% -
247 38 0.78% 0.01%
247 15 0.38% 0.01%
247 52 1.32% 0.02%
247 80 2.02% 0.03%
247 29 0.77% 0.01%
247 24 1.37% 0.01%
247 5 0.25% -
247 21 0.17% 0.01%
247 30 2.74% 0.01%

List of cities with no Non-Hispanic Asian Population in Ohio

According to data from the United States Census Bureau, the following cities in Ohio have no recorded Non-Hispanic Asian population*:
  • Aberdeen
  • Adamsville
  • Addyston
  • Albany
  • Amelia
  • Amesville
  • Amsterdam
  • Andover
  • Ansonia
  • Antioch
  • Apple Creek
  • Arlington
  • Ashley
  • Ashville
  • Bailey Lakes
  • Bainbridge
  • Barnhill
  • Batesville
  • Beallsville
  • Beaverdam
  • Belle Center
  • Belle Valley
  • Belmont
  • Belmore
  • Beloit
  • Berlin Heights
  • Bethel
  • Bethesda
  • Beverly
  • Blakeslee
  • Bloomingdale
  • Bloomville
  • Bowerston
  • Bowersville
  • Brady Lake
  • Bremen
  • Brice
  • Bridgeport
  • Broughton
  • Buckland
  • Burgoon
  • Butler
  • Butlerville
  • Caldwell
  • Camden
  • Carey
  • Carroll
  • Carrollton
  • Casstown
  • Castine
  • Catawba
  • Cecil
  • Centerburg
  • Centerville
  • Chardon
  • Chatfield
  • Cherry Fork
  • Chesapeake
  • Chesterhill
  • Chickasaw
  • Chilo
  • Christiansburg
  • Clarington
  • Clarksburg
  • Clarksville
  • Clay Center
  • Cloverdale
  • Coal Grove
  • Coalton
  • Conesville
  • Congress
  • Continental
  • Corning
  • Covington
  • Crooksville
  • Crown City
  • Cumberland
  • Custar
  • Cygnet
  • Dalton
  • Darbyville
  • Deersville
  • Dellroy
  • Delta
  • Dennison
  • Deshler
  • Dexter City
  • Dillonvale
  • Dresden
  • Dunkirk
  • Dupont
  • East Liverpool
  • Edison
  • Eldorado
  • Elgin
  • Elmwood Place
  • Empire
  • Farmersville
  • Fayetteville
  • Felicity
  • Fletcher
  • Florida
  • Fort Loramie
  • Fort Recovery
  • Fulton
  • Fultonham
  • Garrettsville
  • Gettysburg
  • Gibsonburg
  • Gilboa
  • Girard
  • Glenford
  • Gnadenhutten
  • Gordon
  • Grand River
  • Gratis
  • Graysville
  • Green Camp
  • Greenwich
  • Grover Hill
  • Hamden
  • Hamersville
  • Hamler
  • Hanging Rock
  • Hanover
  • Harbor View
  • Harpster
  • Harrisville
  • Harrod
  • Hartville
  • Haviland
  • Hemlock
  • Higginsport
  • Highland
  • Highland Hills
  • Hillsboro
  • Holiday City
  • Hollansburg
  • Holloway
  • Holmesville
  • Hopedale
  • Irondale
  • Ironton
  • Ithaca
  • Jacksonburg
  • Jacksonville
  • Jamestown
  • Jefferson
  • Jenera
  • Jeromesville
  • Jerusalem
  • Johnstown
  • Junction City
  • Kalida
  • Kelleys Island
  • Kipton
  • Kirby
  • Lafayette
  • Lakeview
  • La Rue
  • Latty
  • Laura
  • Laurelville
  • Leesville
  • Lewisville
  • Lexington
  • Limaville
  • Lincoln Heights
  • Linndale
  • Lockington
  • Lockland
  • Lore City
  • Lower Salem
  • Lyons
  • Mcarthur
  • Mcdonald
  • Mcguffey
  • Macksburg
  • Malinta
  • Malta
  • Marseilles
  • Martinsburg
  • Martinsville
  • Metamora
  • Middle Point
  • Middleport
  • Midland
  • Midvale
  • Midway
  • Mifflin
  • Miller City
  • Millersport
  • Miltonsburg
  • Mineral City
  • Minster
  • Monroeville
  • Montezuma
  • Morral
  • Morristown
  • Mount Cory
  • Mount Eaton
  • Mount Gilead
  • Mount Orab
  • Mowrystown
  • Murray City
  • Mutual
  • Nashville
  • Nevada
  • Neville
  • New Alexandria
  • New Athens
  • New Bavaria
  • New Bloomington
  • New Carlisle
  • Newcomerstown
  • New London
  • New Madison
  • New Middletown
  • New Riegel
  • New Vienna
  • New Washington
  • New Weston
  • Ney
  • North Baltimore
  • North Fairfield
  • North Hampton
  • North Randall
  • North Robinson
  • North Star
  • Norwich
  • Oak Harbor
  • Oak Hill
  • Oakwood
  • Oakwood
  • Octa
  • Ohio City
  • Orangeville
  • Orient
  • Orwell
  • Ottoville
  • Otway
  • Palestine
  • Pandora
  • Patterson
  • Payne
  • Phillipsburg
  • Philo
  • Piketon
  • Pitsburg
  • Portage
  • Port Washington
  • Port William
  • Potsdam
  • Proctorville
  • Quaker City
  • Quincy
  • Racine
  • Rarden
  • Rawson
  • Rayland
  • Republic
  • Rio Grande
  • Risingsun
  • Rochester
  • Rock Creek
  • Rocky Ridge
  • Rogers
  • Rome
  • Roswell
  • Rutland
  • Sabina
  • St. Louisville
  • St. Martin
  • Salesville
  • Salineville
  • Sarahsville
  • Savannah
  • Scio
  • Seaman
  • Senecaville
  • Seven Mile
  • Seville
  • Shawnee
  • Sheffield Lake
  • Sherrodsville
  • Shiloh
  • Shreve
  • Somerset
  • Somerville
  • South Amherst
  • South Charleston
  • South Point
  • South Salem
  • South Vienna
  • South Webster
  • Spencer
  • Stafford
  • Stone Creek
  • Stoutsville
  • Stratton
  • Summerfield
  • Summitville
  • Syracuse
  • Thornville
  • Thurston
  • Tiltonsville
  • Timberlake
  • Tiro
  • Trimble
  • Tuscarawas
  • Uniopolis
  • Van Buren
  • Vanlue
  • Venedocia
  • Versailles
  • Vinton
  • Walton Hills
  • Wellston
  • Wellsville
  • West Elkton
  • West Farmington
  • West Lafayette
  • West Leipsic
  • West Liberty
  • West Millgrove
  • West Salem
  • West Union
  • Wharton
  • Wilkesville
  • Williamsburg
  • Winchester
  • Windham
  • Woodstock
  • Woodville
  • Wren
  • Yankee Lake
  • Yorkshire
  • Zaleski
  • Zanesfield
  • Zoar
  • Adena
  • Baltic
  • Blanchester
  • Bradford
  • Buchtel
  • Buckeye Lake
  • Burkettsville
  • Clifton
  • Creston
  • Delphos
  • Fairview
  • Gratiot
  • Green Springs
  • Lockbourne
  • Loudonville
  • Lynchburg
  • Magnolia
  • Minerva
  • New Holland
  • Ridgeway
  • Sardinia
  • Scott
  • Tarlton
  • Utica
  • Verona
  • Washingtonville
  • Wilson
* These cities were not included in the ranking above, as they do not meet the population criteria. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting.

Methodology

This ranking list is based on data from the American Community Survey (ACS) 5-Year Estimates, conducted by the U.S. Census Bureau. The ACS is one of the most reliable sources for understanding population trends across different locations, and it provides estimates for various racial and ethnic groups at city, county, state and all geography levels down to the Census block group.
This list ranks cities in Ohio by their Non-Hispanic Asian population, using the most recent ACS data available.

How the Census Defines Non-Hispanic Asian Population

The U.S. Census Bureau allows people to self-identify their race, meaning individuals can choose one or more racial categories when responding to the survey. In this ranking, we include everyone who identifies as Non-Hispanic Asian, whether alone or in combination with another race.
Here are a few important things to know about how race is reported:
  • Some people identify as Non-Hispanic Asian alone, while others identify as Non-Hispanic Asian along with another race (such as Non-Hispanic Asian and White).
  • Hispanic / Latino origin is reported separately from race, so someone can be both Hispanic and Non-Hispanic Asian .
  • We’ve used the “Non-Hispanic Asian alone or in combination” category unless noted otherwise, which gives a broader picture of the Non-Hispanic Asian population in each area.

How We Ranked the Data

This ranking is based on the total number of people who identified as Non-Hispanic Asian alone or in combination in cities. To provide additional context, we’ve also included two key percentages:
  1. % of Total City Population – This shows what percentage of the total state population identifies as Non-Hispanic Asian .
  2. % of Total Ohio Non-Hispanic Asian Population – This tells us how much of the entire U.S. Non-Hispanic Asian population lives in that state.
To keep things simple, all population numbers have been rounded to the nearest whole number, and percentages are rounded to one decimal place. Because of rounding, some percentages may not add up to exactly 100%.

Things to Keep in Mind

Like all survey-based data, ACS estimates come with some limitations. Here are a few things to be aware of:
  • In places with very small Non-Hispanic Asian populations, the numbers may not be reported at all due to privacy protections or sampling variability in the survey.
  • Since the ACS is based on a sample, the numbers are estimates, not exact counts. That means they may slightly differ from other sources like the decennial U.S. Census.
  • Cities that don’t have any reported Non-Hispanic Asian population are not included in the ranking but are listed separately below for reference.
This ranking is meant to provide a clear, data-driven look at where Non-Hispanic Asian populations are most concentrated while keeping the numbers easy to understand.

Sources

U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.