2025

Cities in Michigan ranked by Asian Population

This list ranks the 1773 cities in Michigan based on their 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 10, 2025

Top 5 cities with the largest Asian population in Michigan

View All
  • 1
    Troy
    Asian population in Troy is 24,178
    26.35% of Troy population is Asian
  • 2
    Ann Arbor
    Asian population in Ann Arbor is 21,517
    16.45% of Ann Arbor population is Asian
  • 3
    Canton charter township
    Asian population in Canton charter township is 20,785
    19.82% of Canton charter township population is Asian
  • 4
    Novi
    Asian population in Novi is 18,037
    25.66% of Novi population is Asian
  • 5
    Warren
    Asian population in Warren is 17,920
    12.26% of Warren population is Asian

List of 1773 cities in Michigan by Asian Population

View Methodology
Rank by Asian Population
City
Asian Population
% of Total City Population
% of Total Michigan Asian Population
5 Year Rank Trend
1 Troy 24,178 26.35% 5.75%
2 Ann Arbor 21,517 16.45% 5.12%
3 Canton charter township 20,785 19.82% 4.95%
4 Novi 18,037 25.66% 4.29%
5 Warren 17,920 12.26% 4.26%
6 Sterling Heights 13,749 9.85% 3.27%
7 Detroit 13,404 1.99% 3.19%
8 13,313 14.97% 3.17%
9 11,120 13.61% 2.65%
10 8,134 3.61% 1.94%
11 7,922 26.61% 1.89%
12 7,388 15.41% 1.76%
13 6,931 5.49% 1.65%
14 6,658 15.56% 1.58%
15 6,102 8.81% 1.45%
16 5,835 17.75% 1.39%
17 5,707 9.46% 1.36%
18 5,103 10.41% 1.21%
19 4,880 10.43% 1.16%
20 4,871 4.88% 1.16%
21 4,491 3.93% 1.07%
22 4,400 4.80% 1.05%
23 4,380 5.27% 1.04%
24 3,921 14.20% 0.93%
25 3,614 3.37% 0.86%
26 3,533 8.18% 0.84%
27 3,397 3.55% 0.81%
28 3,291 5.35% 0.78%
29 3,005 5.12% 0.72%
30 2,989 9.20% 0.71%
31 2,728 3.77% 0.65%
32 2,645 13.77% 0.63%
33 2,557 7.21% 0.61%
34 2,545 5.58% 0.61%
35 2,528 3.19% 0.60%
36 2,441 9.62% 0.58%
37 2,388 19.33% 0.57%
38 2,374 2.63% 0.56%
39 2,357 8.00% 0.56%
40 2,190 6.13% 0.52%
41 2,175 4.11% 0.52%
42 2,158 5.30% 0.51%
43 2,062 2.52% 0.49%
44 1,988 2.63% 0.47%
45 1,961 4.50% 0.47%
46 1,918 3.15% 0.46%
47 1,907 4.31% 0.45%
48 1,824 4.25% 0.43%
49 1,765 8.21% 0.42%
50 1,739 5.91% 0.41%
51 1,659 2.44% 0.39%
52 1,576 4.04% 0.38%
53 1,557 8.18% 0.37%
54 1,441 8.02% 0.34%
55 1,427 6.21% 0.34%
56 1,423 4.67% 0.34%
57 1,422 8.69% 0.34%
58 1,385 6.29% 0.33%
59 1,328 6.68% 0.32%
60 1,325 9.60% 0.32%
61 1,264 2.22% 0.30%
62 1,261 3.18% 0.30%
63 1,247 4.71% 0.30%
64 1,220 23.01% 0.29%
65 1,194 2.36% 0.28%
66 1,152 1.33% 0.27%
67 1,077 3.38% 0.26%
68 1,075 3.45% 0.26%
69 1,061 10.02% 0.25%
70 1,041 1.59% 0.25%
71 1,031 3.40% 0.25%
72 1,001 11.38% 0.24%
73 967 1.98% 0.23%
74 937 4.09% 0.22%
75 933 1.53% 0.22%
76 900 5.65% 0.21%
77 861 3.22% 0.20%
78 841 9.68% 0.20%
79 830 4.05% 0.20%
80 823 5.34% 0.20%
81 822 2.57% 0.20%
82 813 3.42% 0.19%
83 803 3.90% 0.19%
84 747 2.66% 0.18%
85 709 4.97% 0.17%
86 698 3.63% 0.17%
87 684 6.02% 0.16%
88 663 2.23% 0.16%
89 661 11.87% 0.16%
90 649 5.34% 0.15%
91 636 2.32% 0.15%
92 633 2.55% 0.15%
93 607 1.16% 0.14%
94 594 3.40% 0.14%
95 575 5.52% 0.14%
96 562 2.78% 0.13%
97 557 3.53% 0.13%
98 542 8.91% 0.13%
99 539 1.63% 0.13%
100 536 2.64% 0.13%
101 535 4.11% 0.13%
102 523 1.46% 0.12%
103 504 4.25% 0.12%
104 497 1.79% 0.12%
105 490 2.50% 0.12%
106 489 3.90% 0.12%
107 487 1.17% 0.12%
108 477 7.51% 0.11%
109 474 8.44% 0.11%
110 470 1.29% 0.11%
110 470 4.64% 0.11%
111 468 1.60% 0.11%
112 464 2.81% 0.11%
113 448 2.97% 0.11%
114 445 2.63% 0.11%
115 442 4.92% 0.11%
116 430 0.96% 0.10%
117 424 1.35% 0.10%
118 422 5.63% 0.10%
119 421 3.39% 0.10%
120 417 2.31% 0.10%
121 416 2.66% 0.10%
122 411 4.25% 0.10%
123 404 1.12% 0.10%
124 400 2.47% 0.10%
125 397 2.32% 0.09%
126 396 1.52% 0.09%
127 391 2.36% 0.09%
128 390 1.24% 0.09%
129 389 3.09% 0.09%
129 389 2.44% 0.09%
130 385 4.68% 0.09%
131 384 3.19% 0.09%
132 374 1.97% 0.09%
133 371 1.99% 0.09%
133 371 1.24% 0.09%
134 363 1.68% 0.09%
135 335 1.27% 0.08%
136 334 0.99% 0.08%
137 333 2.04% 0.08%
138 332 3.42% 0.08%
139 331 13.53% 0.08%
140 330 7.02% 0.08%
141 329 1.54% 0.08%
142 319 1.20% 0.08%
143 318 3.37% 0.08%
144 316 4.25% 0.08%
145 315 4.48% 0.07%
146 313 1.36% 0.07%
147 307 0.88% 0.07%
148 305 5.55% 0.07%
149 297 12.68% 0.07%
149 297 2.58% 0.07%
150 296 1.35% 0.07%
151 295 1.92% 0.07%
152 292 2.63% 0.07%
153 291 2.20% 0.07%
154 290 0.89% 0.07%
155 288 2.70% 0.07%
156 286 5.27% 0.07%
157 284 1.57% 0.07%
158 279 2.69% 0.07%
159 269 4.41% 0.06%
160 267 4.88% 0.06%
161 261 1.27% 0.06%
162 260 2.74% 0.06%
163 255 1.99% 0.06%
164 254 2.18% 0.06%
165 248 1.42% 0.06%
165 248 1.12% 0.06%
166 247 1.03% 0.06%
167 241 2.42% 0.06%
168 237 1.59% 0.06%
169 236 3.42% 0.06%
170 230 3.22% 0.05%
171 224 1.96% 0.05%
172 222 1.51% 0.05%
172 222 1.04% 0.05%
173 220 2.71% 0.05%
174 216 1.41% 0.05%
175 214 2.95% 0.05%
176 210 0.92% 0.05%
176 210 1.66% 0.05%
177 209 3.76% 0.05%
177 209 1.39% 0.05%
178 208 0.94% 0.05%
179 207 1.25% 0.05%
180 206 2.59% 0.05%
181 203 6.13% 0.05%
182 201 5.37% 0.05%
183 198 0.73% 0.05%
184 194 1.90% 0.05%
184 194 2.49% 0.05%
185 193 1.49% 0.05%
186 191 1.11% 0.05%
186 191 0.91% 0.05%
187 189 2.23% 0.04%
187 189 1.48% 0.04%
188 186 1.96% 0.04%
189 184 2.26% 0.04%
190 182 4.89% 0.04%
191 180 1.18% 0.04%
192 177 2.91% 0.04%
193 176 1.33% 0.04%
194 175 1.87% 0.04%
195 173 3.05% 0.04%
195 173 2.49% 0.04%
196 172 1.13% 0.04%
197 171 0.35% 0.04%
198 170 4.26% 0.04%
199 169 3.75% 0.04%
200 166 2.50% 0.04%
201 165 4.18% 0.04%
201 165 3.99% 0.04%
201 165 1.03% 0.04%
202 163 2.73% 0.04%
203 162 1.64% 0.04%
203 162 1.32% 0.04%
203 162 1.51% 0.04%
204 161 1.82% 0.04%
204 161 1.97% 0.04%
205 160 1.84% 0.04%
206 159 2.93% 0.04%
206 159 3.34% 0.04%
207 157 1.21% 0.04%
207 157 2.10% 0.04%
208 156 2.98% 0.04%
209 153 2.43% 0.04%
210 149 5.22% 0.04%
211 148 4.44% 0.04%
212 147 1.07% 0.03%
212 147 4.02% 0.03%
213 145 5.46% 0.03%
213 145 0.73% 0.03%
214 144 1.38% 0.03%
215 142 1.35% 0.03%
215 142 2.04% 0.03%
216 139 1.68% 0.03%
216 139 0.87% 0.03%
217 138 1.28% 0.03%
217 138 2.52% 0.03%
218 137 4.90% 0.03%
218 137 1.35% 0.03%
219 134 2.05% 0.03%
219 134 1.10% 0.03%
219 134 1.93% 0.03%
220 129 1.95% 0.03%
220 129 1.85% 0.03%
221 128 4.72% 0.03%
222 126 1.30% 0.03%
222 126 1.83% 0.03%
223 124 3.80% 0.03%
224 123 1.58% 0.03%
225 121 1.51% 0.03%
226 119 1.22% 0.03%
226 119 1.88% 0.03%
227 117 0.81% 0.03%
228 116 2.08% 0.03%
229 115 1.88% 0.03%
229 115 0.75% 0.03%
229 115 3.70% 0.03%
230 114 1.46% 0.03%
230 114 1.30% 0.03%
231 113 2.18% 0.03%
232 112 3.21% 0.03%
232 112 1.51% 0.03%
232 112 2.53% 0.03%
233 111 5.18% 0.03%
233 111 3.74% 0.03%
234 110 3.47% 0.03%
235 109 1.45% 0.03%
235 109 1.72% 0.03%
236 107 0.92% 0.03%
237 106 0.70% 0.03%
238 105 2.70% 0.02%
238 105 1.63% 0.02%
238 105 2.29% 0.02%
239 104 2.94% 0.02%
239 104 0.87% 0.02%
240 103 3.00% 0.02%
240 103 2.11% 0.02%
241 102 1.32% 0.02%
241 102 5.05% 0.02%
242 101 3.20% 0.02%
242 101 1.86% 0.02%
243 100 0.63% 0.02%
243 100 2.28% 0.02%
243 100 4.61% 0.02%
244 99 1.54% 0.02%
245 98 3.34% 0.02%
245 98 0.47% 0.02%
245 98 1.54% 0.02%
246 97 9.94% 0.02%
246 97 4.26% 0.02%
246 97 0.77% 0.02%
246 97 1.98% 0.02%
247 96 2.07% 0.02%
247 96 3.38% 0.02%
247 96 1.89% 0.02%
247 96 2.08% 0.02%
248 95 4.50% 0.02%
249 94 1.99% 0.02%
249 94 1.46% 0.02%
249 94 1.35% 0.02%
250 93 2.68% 0.02%
251 92 2.05% 0.02%
251 92 1.95% 0.02%
252 91 4.55% 0.02%
252 91 0.60% 0.02%
252 91 4.64% 0.02%
252 91 1.09% 0.02%
253 90 1.16% 0.02%
253 90 1.05% 0.02%
254 89 3.31% 0.02%
254 89 2.05% 0.02%
255 88 0.70% 0.02%
256 87 0.70% 0.02%
256 87 2.14% 0.02%
256 87 1.72% 0.02%
256 87 1.64% 0.02%
257 86 1.43% 0.02%
257 86 0.86% 0.02%
257 86 1.83% 0.02%
257 86 1.02% 0.02%
257 86 1.32% 0.02%
258 85 2.44% 0.02%
259 83 1.78% 0.02%
259 83 0.71% 0.02%
259 83 0.86% 0.02%
259 83 2.85% 0.02%
260 82 15.16% 0.02%
260 82 1.58% 0.02%
261 81 1.31% 0.02%
261 81 1.61% 0.02%
261 81 0.94% 0.02%
261 81 1.44% 0.02%
262 80 1.26% 0.02%
263 79 1.69% 0.02%
263 79 1.20% 0.02%
264 78 1.47% 0.02%
264 78 5.92% 0.02%
264 78 2.15% 0.02%
265 77 0.89% 0.02%
266 76 3.67% 0.02%
266 76 0.83% 0.02%
266 76 1.21% 0.02%
267 74 2.61% 0.02%
267 74 1.56% 0.02%
267 74 1.57% 0.02%
268 71 2.61% 0.02%
268 71 1.07% 0.02%
268 71 1.05% 0.02%
269 70 3.45% 0.02%
269 70 0.90% 0.02%
269 70 2.62% 0.02%
270 69 1.22% 0.02%
271 68 2.10% 0.02%
271 68 0.81% 0.02%
271 68 1.07% 0.02%
271 68 2.14% 0.02%
272 67 3.89% 0.02%
272 67 3.27% 0.02%
272 67 2.22% 0.02%
272 67 0.49% 0.02%
273 66 2.85% 0.02%
273 66 0.45% 0.02%
273 66 1.93% 0.02%
273 66 3.22% 0.02%
274 65 2.68% 0.02%
274 65 1.65% 0.02%
274 65 1.45% 0.02%
274 65 1.06% 0.02%
274 65 0.93% 0.02%
274 65 1.80% 0.02%
275 64 1.09% 0.02%
276 63 0.78% 0.01%
276 63 0.39% 0.01%
277 62 1.42% 0.01%
277 62 2.83% 0.01%
277 62 0.85% 0.01%
277 62 2.42% 0.01%
277 62 0.77% 0.01%
278 61 1.26% 0.01%
278 61 0.61% 0.01%
278 61 1.01% 0.01%
278 61 0.84% 0.01%
279 60 2.73% 0.01%
279 60 1.52% 0.01%
279 60 0.59% 0.01%
280 59 2.36% 0.01%
280 59 1.65% 0.01%
280 59 2.88% 0.01%
280 59 3.35% 0.01%
280 59 1.56% 0.01%
280 59 1.47% 0.01%
280 59 1.35% 0.01%
281 58 5.69% 0.01%
281 58 1.99% 0.01%
281 58 1.85% 0.01%
282 57 0.41% 0.01%
282 57 3.08% 0.01%
282 57 0.79% 0.01%
282 57 1.30% 0.01%
283 56 1.88% 0.01%
283 56 0.81% 0.01%
283 56 0.51% 0.01%
283 56 1.27% 0.01%
284 55 0.57% 0.01%
284 55 0.80% 0.01%
284 55 0.71% 0.01%
284 55 1.06% 0.01%
285 54 1.70% 0.01%
285 54 2.46% 0.01%
285 54 1.01% 0.01%
285 54 1.33% 0.01%
285 54 0.49% 0.01%
285 54 1.09% 0.01%
286 53 1.40% 0.01%
286 53 3.08% 0.01%
286 53 1.03% 0.01%
286 53 2.38% 0.01%
286 53 1.19% 0.01%
286 53 1.48% 0.01%
287 52 1.43% 0.01%
287 52 1.75% 0.01%
287 52 1.79% 0.01%
287 52 1.08% 0.01%
287 52 0.58% 0.01%
287 52 1.72% 0.01%
287 52 1.32% 0.01%
288 51 6.77% 0.01%
288 51 1.81% 0.01%
288 51 1.49% 0.01%
289 50 4.92% 0.01%
289 50 1.30% 0.01%
289 50 2.23% 0.01%
289 50 0.59% 0.01%
290 49 1.67% 0.01%
290 49 1.08% 0.01%
290 49 0.79% 0.01%
290 49 1.39% 0.01%
290 49 1.23% 0.01%
291 48 0.45% 0.01%
291 48 0.99% 0.01%
291 48 1.88% 0.01%
291 48 1.38% 0.01%
291 48 1.74% 0.01%
291 48 0.49% 0.01%
292 47 0.52% 0.01%
292 47 1.42% 0.01%
292 47 1.02% 0.01%
292 47 0.91% 0.01%
292 47 1.23% 0.01%
293 46 1.73% 0.01%
293 46 2.50% 0.01%
293 46 1.49% 0.01%
294 45 0.56% 0.01%
294 45 1.56% 0.01%
294 45 0.85% 0.01%
294 45 2.78% 0.01%
294 45 1.47% 0.01%
294 45 2.55% 0.01%
294 45 1.27% 0.01%
294 45 0.58% 0.01%
294 45 2.99% 0.01%
295 44 1.10% 0.01%
295 44 0.85% 0.01%
295 44 1.55% 0.01%
296 43 4.27% 0.01%
296 43 2.56% 0.01%
296 43 1.77% 0.01%
296 43 1.60% 0.01%
296 43 2.16% 0.01%
296 43 1.46% 0.01%
296 43 2.21% 0.01%
296 43 1.02% 0.01%
296 43 0.58% 0.01%
296 43 1.15% 0.01%
297 42 0.80% 0.01%
297 42 0.64% 0.01%
297 42 0.97% 0.01%
297 42 2.12% 0.01%
297 42 2.04% 0.01%
297 42 4.26% 0.01%
298 41 1.04% 0.01%
298 41 1.16% 0.01%
298 41 2.21% 0.01%
298 41 1.01% 0.01%
298 41 1.79% 0.01%
298 41 1.46% 0.01%
299 40 0.39% 0.01%
300 39 3.47% 0.01%
300 39 4.47% 0.01%
300 39 0.99% 0.01%
300 39 0.63% 0.01%
300 39 2.50% 0.01%
300 39 1.63% 0.01%
300 39 3.93% 0.01%
300 39 1.77% 0.01%
301 38 0.68% 0.01%
301 38 0.61% 0.01%
301 38 1.65% 0.01%
301 38 5.02% 0.01%
301 38 1.34% 0.01%
301 38 0.93% 0.01%
301 38 1.93% 0.01%
302 37 1.77% 0.01%
302 37 2.23% 0.01%
302 37 1.35% 0.01%
302 37 1.38% 0.01%
302 37 0.75% 0.01%
303 36 1.25% 0.01%
303 36 0.57% 0.01%
303 36 1.87% 0.01%
303 36 0.68% 0.01%
303 36 1.32% 0.01%
303 36 1.06% 0.01%
303 36 1.30% 0.01%
303 36 2.01% 0.01%
304 35 1.79% 0.01%
304 35 1.44% 0.01%
304 35 2.66% 0.01%
304 35 1.19% 0.01%
304 35 1.69% 0.01%
304 35 1.00% 0.01%
304 35 1.00% 0.01%
304 35 0.58% 0.01%
304 35 1.30% 0.01%
304 35 1.23% 0.01%
304 35 8.73% 0.01%
305 34 4.33% 0.01%
305 34 2.40% 0.01%
305 34 5.11% 0.01%
305 34 1.61% 0.01%
305 34 0.59% 0.01%
305 34 1.28% 0.01%
305 34 1.02% 0.01%
305 34 2.24% 0.01%
306 33 1.40% 0.01%
306 33 1.16% 0.01%
306 33 0.83% 0.01%
306 33 1.02% 0.01%
306 33 0.38% 0.01%
306 33 1.04% 0.01%
306 33 1.20% 0.01%
306 33 1.38% 0.01%
307 32 4.07% 0.01%
307 32 2.42% 0.01%
307 32 0.92% 0.01%
307 32 3.34% 0.01%
307 32 1.10% 0.01%
307 32 1.18% 0.01%
307 32 1.76% 0.01%
308 31 1.22% 0.01%
308 31 2.34% 0.01%
308 31 0.77% 0.01%
309 30 2.42% 0.01%
309 30 3.41% 0.01%
309 30 0.74% 0.01%
309 30 1.03% 0.01%
309 30 2.32% 0.01%
309 30 5.21% 0.01%
309 30 0.96% 0.01%
309 30 1.05% 0.01%
309 30 1.94% 0.01%
310 29 2.17% 0.01%
310 29 0.33% 0.01%
310 29 0.59% 0.01%
310 29 7.61% 0.01%
310 29 0.67% 0.01%
310 29 1.08% 0.01%
310 29 0.79% 0.01%
310 29 0.98% 0.01%
310 29 1.53% 0.01%
310 29 0.76% 0.01%
310 29 3.17% 0.01%
311 28 2.36% 0.01%
311 28 0.90% 0.01%
311 28 0.95% 0.01%
311 28 0.82% 0.01%
311 28 0.34% 0.01%
311 28 1.28% 0.01%
311 28 2.20% 0.01%
311 28 1.20% 0.01%
311 28 0.77% 0.01%
311 28 0.80% 0.01%
312 27 2.13% 0.01%
312 27 1.19% 0.01%
312 27 0.90% 0.01%
312 27 1.32% 0.01%
312 27 1.77% 0.01%
312 27 2.89% 0.01%
312 27 1.32% 0.01%
312 27 0.77% 0.01%
312 27 0.82% 0.01%
312 27 2.68% 0.01%
313 26 0.87% 0.01%
313 26 0.60% 0.01%
313 26 0.92% 0.01%
313 26 2.00% 0.01%
313 26 1.33% 0.01%
313 26 1.83% 0.01%
313 26 0.35% 0.01%
313 26 0.50% 0.01%
313 26 2.18% 0.01%
313 26 0.65% 0.01%
313 26 1.44% 0.01%
313 26 2.71% 0.01%
313 26 1.74% 0.01%
314 25 2.12% 0.01%
314 25 1.36% 0.01%
314 25 1.87% 0.01%
314 25 0.69% 0.01%
314 25 20.66% 0.01%
314 25 5.23% 0.01%
314 25 3.12% 0.01%
314 25 0.50% 0.01%
314 25 2.71% 0.01%
314 25 0.78% 0.01%
314 25 0.90% 0.01%
314 25 1.02% 0.01%
314 25 1.40% 0.01%
314 25 0.89% 0.01%
315 24 0.84% 0.01%
315 24 6.03% 0.01%
315 24 0.77% 0.01%
315 24 1.50% 0.01%
315 24 1.26% 0.01%
315 24 2.64% 0.01%
315 24 0.97% 0.01%
315 24 1.00% 0.01%
315 24 0.50% 0.01%
315 24 0.85% 0.01%
315 24 0.80% 0.01%
315 24 0.63% 0.01%
316 23 1.23% 0.01%
316 23 2.22% 0.01%
316 23 0.21% 0.01%
316 23 1.62% 0.01%
316 23 1.17% 0.01%
316 23 0.69% 0.01%
316 23 1.09% 0.01%
316 23 0.36% 0.01%
316 23 1.11% 0.01%
316 23 1.51% 0.01%
316 23 2.29% 0.01%
316 23 1.75% 0.01%
317 22 0.24% 0.01%
317 22 4.14% 0.01%
317 22 1.15% 0.01%
317 22 1.50% 0.01%
317 22 2.02% 0.01%
317 22 3.35% 0.01%
317 22 1.34% 0.01%
317 22 0.30% 0.01%
317 22 1.05% 0.01%
317 22 1.72% 0.01%
317 22 1.29% 0.01%
317 22 1.82% 0.01%
317 22 1.51% 0.01%
318 21 0.86% -
318 21 0.20% -
318 21 0.47% -
318 21 1.26% -
318 21 1.15% -
318 21 3.74% -
318 21 0.81% -
318 21 0.55% -
318 21 0.79% -
318 21 0.66% -
318 21 0.94% -
318 21 0.75% -
318 21 1.19% -
318 21 0.64% -
318 21 1.35% -
318 21 1.63% -
319 20 0.89% -
319 20 1.93% -
319 20 1.65% -
319 20 2.68% -
319 20 0.87% -
319 20 1.09% -
319 20 0.44% -
319 20 2.93% -
319 20 1.18% -
319 20 1.27% -
319 20 2.36% -
319 20 1.01% -
319 20 0.15% -
319 20 1.83% -
319 20 0.43% -
319 20 0.86% -
319 20 0.61% -
319 20 1.07% -
319 20 0.41% -
320 19 0.13% -
320 19 0.83% -
320 19 2.47% -
320 19 1.93% -
320 19 1.69% -
320 19 0.66% -
320 19 2.00% -
320 19 1.11% -
320 19 0.82% -
320 19 0.70% -
320 19 2.43% -
320 19 0.97% -
320 19 0.65% -
320 19 1.98% -
320 19 0.52% -
320 19 0.66% -
321 18 1.84% -
321 18 0.95% -
321 18 1.55% -
321 18 1.34% -
321 18 0.60% -
321 18 1.24% -
321 18 4.81% -
321 18 1.05% -
321 18 2.15% -
321 18 0.39% -
321 18 0.91% -
321 18 0.23% -
321 18 0.84% -
321 18 1.07% -
321 18 0.62% -
322 17 0.80% -
322 17 2.67% -
322 17 0.82% -
322 17 0.77% -
322 17 0.53% -
322 17 1.11% -
322 17 1.31% -
322 17 0.38% -
322 17 2.35% -
322 17 0.44% -
322 17 0.97% -
322 17 1.02% -
322 17 2.19% -
322 17 0.20% -
322 17 1.13% -
322 17 0.95% -
322 17 0.62% -
322 17 1.72% -
322 17 1.70% -
322 17 0.44% -
322 17 1.06% -
322 17 0.41% -
322 17 0.63% -
322 17 0.51% -
322 17 1.24% -
322 17 0.96% -
323 16 0.48% -
323 16 0.16% -
323 16 0.29% -
323 16 0.35% -
323 16 2.88% -
323 16 1.58% -
323 16 0.98% -
323 16 2.80% -
323 16 0.60% -
323 16 0.41% -
323 16 0.82% -
323 16 1.77% -
323 16 2.35% -
323 16 0.65% -
323 16 1.27% -
323 16 0.33% -
323 16 0.80% -
323 16 0.92% -
323 16 1.10% -
323 16 1.60% -
323 16 0.92% -
323 16 0.49% -
323 16 0.38% -
323 16 0.42% -
324 15 0.37% -
324 15 0.74% -
324 15 0.14% -
324 15 1.40% -
324 15 0.36% -
324 15 0.76% -
324 15 0.85% -
324 15 0.71% -
324 15 0.99% -
324 15 0.85% -
325 14 1.41% -
325 14 1.19% -
325 14 0.23% -
325 14 5.79% -
325 14 0.75% -
325 14 0.73% -
325 14 0.34% -
325 14 0.57% -
325 14 0.47% -
325 14 0.65% -
325 14 0.43% -
325 14 1.06% -
325 14 0.16% -
325 14 0.34% -
325 14 0.52% -
325 14 0.97% -
325 14 0.30% -
325 14 0.60% -
325 14 0.77% -
325 14 0.87% -
325 14 0.39% -
326 13 0.64% -
326 13 1.00% -
326 13 0.89% -
326 13 1.50% -
326 13 0.66% -
326 13 0.37% -
326 13 0.72% -
326 13 1.80% -
326 13 0.09% -
326 13 0.49% -
326 13 0.59% -
326 13 1.39% -
326 13 1.84% -
326 13 5.80% -
326 13 0.55% -
326 13 0.51% -
326 13 0.62% -
326 13 4.53% -
326 13 1.19% -
326 13 0.55% -
326 13 0.30% -
326 13 0.34% -
326 13 0.40% -
327 12 0.54% -
327 12 4.65% -
327 12 0.51% -
327 12 0.29% -
327 12 4.04% -
327 12 0.43% -
327 12 0.35% -
327 12 1.11% -
327 12 0.31% -
327 12 1.82% -
327 12 0.62% -
327 12 1.30% -
327 12 0.90% -
327 12 0.70% -
327 12 0.89% -
327 12 0.49% -
327 12 1.55% -
328 11 2.14% -
328 11 0.96% -
328 11 1.47% -
328 11 1.62% -
328 11 1.25% -
328 11 1.05% -
328 11 1.06% -
328 11 0.82% -
328 11 0.48% -
328 11 0.34% -
328 11 3.22% -
328 11 0.39% -
328 11 0.67% -
328 11 0.75% -
328 11 7.75% -
328 11 0.99% -
328 11 1.71% -
328 11 3.86% -
328 11 0.33% -
328 11 0.80% -
328 11 0.60% -
329 10 1.08% -
329 10 2.96% -
329 10 0.57% -
329 10 0.45% -
329 10 0.78% -
329 10 2.05% -
329 10 1.12% -
329 10 0.53% -
329 10 0.42% -
329 10 1.23% -
329 10 0.71% -
329 10 0.57% -
329 10 0.60% -
329 10 0.85% -
329 10 0.24% -
329 10 0.35% -
329 10 4.76% -
329 10 0.81% -
329 10 0.11% -
329 10 0.77% -
329 10 0.90% -
329 10 0.10% -
329 10 0.69% -
329 10 0.88% -
329 10 1.35% -
329 10 0.57% -
329 10 1.04% -
329 10 0.25% -
329 10 0.36% -
330 9 0.96% -
330 9 0.59% -
330 9 0.66% -
330 9 0.76% -
330 9 0.28% -
330 9 3.17% -
330 9 0.62% -
330 9 0.41% -
330 9 0.34% -
330 9 1.29% -
330 9 2.45% -
330 9 0.22% -
330 9 3.81% -
330 9 0.66% -
330 9 0.81% -
330 9 0.33% -
330 9 0.52% -
330 9 0.34% -
330 9 1.87% -
330 9 0.32% -
330 9 1.73% -
330 9 0.08% -
330 9 0.35% -
330 9 0.26% -
330 9 0.51% -
331 8 0.27% -
331 8 1.92% -
331 8 0.72% -
331 8 0.55% -
331 8 0.26% -
331 8 0.71% -
331 8 0.27% -
331 8 0.68% -
331 8 0.40% -
331 8 0.45% -
331 8 0.56% -
331 8 0.15% -
331 8 0.36% -
331 8 0.44% -
331 8 0.92% -
331 8 0.32% -
331 8 0.33% -
331 8 0.61% -
331 8 0.58% -
331 8 0.41% -
331 8 0.20% -
331 8 0.63% -
331 8 0.28% -
331 8 0.96% -
331 8 0.43% -
331 8 0.17% -
331 8 1.04% -
331 8 0.21% -
331 8 0.28% -
331 8 0.88% -
332 7 2.55% -
332 7 1.02% -
332 7 3.07% -
332 7 0.45% -
332 7 1.10% -
332 7 0.56% -
332 7 3.07% -
332 7 0.35% -
332 7 0.15% -
332 7 2.10% -
332 7 0.57% -
332 7 0.40% -
332 7 0.63% -
332 7 1.31% -
332 7 0.73% -
332 7 0.73% -
332 7 0.19% -
332 7 0.16% -
332 7 0.30% -
332 7 0.35% -
332 7 0.25% -
332 7 0.60% -
332 7 0.68% -
332 7 0.08% -
332 7 0.39% -
332 7 0.71% -
332 7 0.53% -
332 7 0.41% -
333 6 1.69% -
333 6 0.23% -
333 6 0.73% -
333 6 1.47% -
333 6 0.37% -
333 6 1.29% -
333 6 0.35% -
333 6 0.39% -
333 6 0.89% -
333 6 1.25% -
333 6 0.57% -
333 6 1.53% -
333 6 0.30% -
333 6 0.27% -
333 6 0.28% -
333 6 0.23% -
333 6 0.20% -
333 6 0.42% -
333 6 0.64% -
333 6 0.32% -
333 6 0.35% -
333 6 0.97% -
333 6 0.25% -
333 6 1.52% -
333 6 0.67% -
333 6 1.18% -
333 6 0.54% -
333 6 1.05% -
333 6 0.48% -
333 6 3.14% -
333 6 0.71% -
333 6 0.98% -
333 6 0.81% -
333 6 0.57% -
333 6 1.39% -
333 6 0.62% -
333 6 0.39% -
333 6 0.48% -
333 6 0.85% -
334 5 0.24% -
334 5 2.17% -
334 5 0.28% -
334 5 0.19% -
334 5 0.27% -
334 5 0.25% -
334 5 0.48% -
334 5 0.81% -
334 5 0.40% -
334 5 0.80% -
334 5 0.36% -
334 5 0.44% -
334 5 0.94% -
334 5 0.42% -
334 5 0.29% -
334 5 0.85% -
334 5 0.83% -
334 5 0.19% -
334 5 0.44% -
334 5 0.25% -
334 5 0.13% -
334 5 0.19% -
334 5 0.23% -
334 5 0.78% -
334 5 0.45% -
334 5 0.16% -
334 5 0.29% -
334 5 0.25% -
334 5 0.92% -
334 5 0.24% -
334 5 1.00% -
334 5 0.42% -
334 5 0.12% -
334 5 0.23% -
334 5 0.18% -
334 5 0.47% -
335 4 0.67% -
335 4 0.37% -
335 4 0.58% -
335 4 0.57% -
335 4 0.64% -
335 4 0.40% -
335 4 1.58% -
335 4 0.75% -
335 4 0.53% -
335 4 0.20% -
335 4 0.46% -
335 4 0.13% -
335 4 0.36% -
335 4 0.31% -
335 4 0.25% -
335 4 0.13% -
335 4 0.14% -
335 4 0.11% -
335 4 0.28% -
335 4 0.39% -
335 4 0.49% -
335 4 1.03% -
335 4 0.78% -
335 4 0.29% -
335 4 2.16% -
335 4 0.20% -
335 4 0.15% -
335 4 0.37% -
335 4 0.26% -
335 4 0.18% -
335 4 1.12% -
335 4 0.14% -
335 4 1.17% -
335 4 0.13% -
335 4 1.02% -
335 4 0.31% -
335 4 0.20% -
335 4 0.08% -
335 4 0.86% -
335 4 0.21% -
335 4 0.21% -
335 4 0.26% -
335 4 0.22% -
335 4 0.36% -
335 4 0.08% -
335 4 1.38% -
335 4 0.16% -
335 4 0.15% -
335 4 1.00% -
335 4 0.32% -
335 4 0.29% -
335 4 1.78% -
335 4 0.30% -
335 4 0.53% -
335 4 0.38% -
335 4 0.12% -
335 4 0.19% -
335 4 0.69% -
336 3 1.18% -
336 3 0.24% -
336 3 0.42% -
336 3 0.11% -
336 3 0.16% -
336 3 1.01% -
336 3 0.23% -
336 3 0.32% -
336 3 0.50% -
336 3 0.19% -
336 3 0.20% -
336 3 0.44% -
336 3 0.85% -
336 3 0.20% -
336 3 0.55% -
336 3 0.12% -
336 3 0.20% -
336 3 0.20% -
336 3 0.17% -
336 3 0.68% -
336 3 0.37% -
336 3 0.12% -
336 3 0.24% -
336 3 0.09% -
336 3 0.10% -
336 3 0.19% -
336 3 0.09% -
336 3 0.15% -
336 3 0.20% -
336 3 0.20% -
336 3 0.33% -
336 3 0.17% -
336 3 0.30% -
336 3 0.48% -
336 3 0.36% -
336 3 1.86% -
336 3 0.75% -
336 3 0.66% -
336 3 0.16% -
336 3 0.07% -
336 3 0.24% -
336 3 0.20% -
336 3 0.11% -
336 3 0.23% -
336 3 0.15% -
336 3 0.40% -
336 3 0.05% -
336 3 0.54% -
336 3 0.20% -
336 3 0.27% -
336 3 0.17% -
336 3 0.17% -
336 3 0.24% -
336 3 0.12% -
336 3 0.25% -
337 2 0.18% -
337 2 0.28% -
337 2 0.11% -
337 2 0.17% -
337 2 0.14% -
337 2 0.45% -
337 2 0.09% -
337 2 0.46% -
337 2 0.22% -
337 2 0.11% -
337 2 0.43% -
337 2 0.22% -
337 2 0.22% -
337 2 0.32% -
337 2 0.56% -
337 2 0.13% -
337 2 0.28% -
337 2 0.18% -
337 2 0.19% -
337 2 0.24% -
337 2 0.42% -
337 2 0.31% -
337 2 0.29% -
337 2 0.08% -
337 2 0.20% -
337 2 0.32% -
337 2 0.37% -
337 2 0.68% -
337 2 0.12% -
338 1 0.46% -
338 1 0.29% -
338 1 0.02% -
338 1 0.25% -
338 1 0.05% -
338 1 0.02% -
338 1 0.02% -
338 1 0.30% -
338 1 0.06% -
338 1 0.21% -
338 1 0.25% -
338 1 0.17% -
338 1 0.12% -
338 1 0.29% -
338 1 0.21% -
338 1 0.02% -
338 1 0.05% -
338 1 0.16% -
338 1 0.24% -
338 1 0.08% -
338 1 0.06% -
338 1 0.23% -
338 1 0.24% -
338 1 0.26% -
338 1 0.04% -
338 1 0.07% -
338 1 0.26% -
338 1 0.08% -
338 1 0.13% -
338 1 0.17% -
338 1 0.18% -
338 1 0.06% -
338 1 0.12% -
338 1 0.05% -
338 1 0.04% -
338 1 0.06% -
338 1 0.10% -
338 1 0.04% -
338 1 0.11% -
338 1 0.06% -
338 1 0.04% -
338 1 0.29% -
338 1 0.07% -
338 1 0.03% -
338 1 0.23% -
338 1 0.22% -
338 1 0.10% -
338 1 0.20% -
338 1 0.10% -
338 1 0.04% -
338 1 0.04% -
338 1 0.03% -
338 1 0.04% -
338 1 0.11% -
338 1 0.14% -
338 1 0.09% -
338 1 0.09% -
338 1 0.28% -
338 1 0.04% -
338 1 0.26% -
338 1 0.02% -
338 1 0.11% -
338 1 0.11% -
338 1 0.03% -
338 1 0.08% -
338 1 0.15% -
338 1 0.03% -
338 1 0.34% -

List of cities with no Asian Population in Michigan

According to data from the United States Census Bureau, the following cities in Michigan have no recorded Asian population*:
  • Addison
  • Ahmeek
  • Algonac
  • Alpha
  • Ashley
  • Augusta
  • Baldwin
  • Bear Lake
  • Bellevue
  • Benton Harbor
  • Benzonia
  • Beulah
  • Bloomingdale
  • Breckenridge
  • Breedsville
  • Burlington
  • Burr Oak
  • Camden
  • Carney
  • Caro
  • Carson City
  • Central Lake
  • Centreville
  • Charlevoix
  • Chatham
  • Clarksville
  • Clayton
  • Clifford
  • Clio
  • Coleman
  • Coloma
  • Columbiaville
  • Coopersville
  • Copemish
  • Custer
  • Daggett
  • Eagle
  • Eastlake
  • Eau Claire
  • Edmore
  • Elberta
  • Elsie
  • Emmett
  • Essexville
  • Estral Beach
  • Fairgrove
  • Fife Lake
  • Forestville
  • Frankfort
  • Freeport
  • Free Soil
  • Fremont
  • Gagetown
  • Gaines
  • Galien
  • Garden
  • Gobles
  • Hanover
  • Harbor Beach
  • Harrietta
  • Harrison
  • Harrisville
  • Hartford
  • Hersey
  • Honor
  • Iron River
  • Ithaca
  • Kaleva
  • Kinde
  • Kingston
  • Laingsburg
  • Lake Linden
  • Lakeview
  • Lakewood Club
  • Lathrup Village
  • Laurium
  • Lawrence
  • Leonard
  • Le Roy
  • Lexington
  • Lincoln
  • Luther
  • Marion
  • Maybee
  • Mecosta
  • Melvin
  • Mendon
  • Merrill
  • Millersburg
  • Minden City
  • Mount Morris
  • Muir
  • Munising
  • New Haven
  • New Lothrop
  • Northport
  • Norway
  • Oakley
  • Onekama
  • Ortonville
  • Owendale
  • Pentwater
  • Perrinton
  • Perry
  • Petersburg
  • Pewamo
  • Pierson
  • Pigeon
  • Pinconning
  • Port Hope
  • Port Sanilac
  • Posen
  • Powers
  • Prescott
  • Ravenna
  • Rosebush
  • St. Clair
  • Saugatuck
  • Schoolcraft
  • Scottville
  • Sebewaing
  • Stanton
  • Stanwood
  • Sterling
  • Sunfield
  • Suttons Bay
  • Tekonsha
  • Twining
  • Ubly
  • Vanderbilt
  • Waldron
  • Webberville
  • Wolverine
  • Woodland
  • Clare
  • Hillman
  • Hubbardston
  • Reese
  • Richmond
  • Greenbush township
  • Gustin township
  • Harrisville township
  • Hawes township
  • Mikado township
  • Burt township
  • Grand Island township
  • Limestone township
  • Onota township
  • Cheshire township
  • Lee township
  • Leighton township
  • Long Rapids township
  • Sanborn township
  • Wellington township
  • Central Lake township
  • Echo township
  • Star township
  • Adams township
  • Arenac township
  • Au Gres township
  • Deep River township
  • Lincoln township
  • Mason township
  • Moffatt township
  • Whitney township
  • Spurr township
  • Barry township
  • Hope township
  • Johnstown township
  • Orangeville township
  • Rutland charter township
  • Woodland township
  • Frankenlust township
  • Gibson township
  • Kawkawlin township
  • Mount Forest township
  • Portsmouth charter township
  • Williams charter township
  • Crystal Lake township
  • Gilmore township
  • Joyfield township
  • Lake township
  • Algansee township
  • Bronson township
  • Noble township
  • Albion township
  • Burlington township
  • Clarendon township
  • Eckford township
  • Lee township
  • Pokagon township
  • Volinia township
  • Wayne township
  • Bay township
  • Chandler township
  • Hudson township
  • Melrose township
  • South Arm township
  • Beaugrand township
  • Benton township
  • Burt township
  • Ellis township
  • Hebron township
  • Koehler township
  • Tuscarora township
  • Wilmot township
  • Chippewa township
  • Hulbert township
  • Soo township
  • Sugar Island township
  • Arthur township
  • Grant township
  • Greenwood township
  • Hamilton township
  • Hayes township
  • Lincoln township
  • Redding township
  • Summerfield township
  • Winterfield township
  • Victor township
  • South Branch township
  • Bay de Noc township
  • Cornell township
  • Ensign township
  • Garden township
  • Nahma township
  • Breitung charter township
  • Felch township
  • Sagola township
  • Waucedah township
  • West Branch township
  • Kalamo township
  • Center township
  • Cross Village township
  • Readmond township
  • Springvale township
  • West Traverse township
  • Montrose charter township
  • Beaverton township
  • Bentley township
  • Bourret township
  • Clement township
  • Gladwin township
  • Grim township
  • Tobacco township
  • Bessemer township
  • Wakefield township
  • Elba township
  • Hamilton township
  • Lafayette township
  • Newark township
  • New Haven township
  • North Shade township
  • Seville township
  • Washington township
  • Wheeler township
  • Cambria township
  • Fayette township
  • Jefferson township
  • Pittsford township
  • Wheatland township
  • Woodbridge township
  • Wright township
  • Schoolcraft township
  • Bingham township
  • Brookfield township
  • Caseville township
  • Chandler township
  • Dwight township
  • Gore township
  • Grant township
  • Hume township
  • Huron township
  • Lincoln township
  • Meade township
  • Pointe Aux Barques township
  • Rubicon township
  • Sebewaing township
  • Sheridan township
  • Sigel township
  • Winsor township
  • Leroy township
  • Leslie township
  • Vevay township
  • White Oak township
  • Berlin township
  • Keene township
  • Orange township
  • Portland township
  • Ronald township
  • Sebewa township
  • Burleigh township
  • Plainfield township
  • Hematite township
  • Iron River township
  • Mansfield township
  • Denver township
  • Gilmore township
  • Isabella township
  • Rolland township
  • Wise township
  • Hanover township
  • Liberty township
  • Napoleon township
  • Pulaski township
  • Rives township
  • Tompkins township
  • Prairie Ronde township
  • Wakeshma township
  • Excelsior township
  • Oliver township
  • Springfield township
  • Oakfield township
  • Allouez township
  • Eagle Harbor township
  • Grant township
  • Houghton township
  • Sherman township
  • Chase township
  • Cherry Valley township
  • Dover township
  • Newkirk township
  • Pinora township
  • Sauble township
  • Webber township
  • Yates township
  • Rich township
  • Centerville township
  • Leelanau township
  • Macon township
  • Medina township
  • Rome township
  • Conway township
  • Columbus township
  • Bois Blanc township
  • Brevort township
  • Clark township
  • Garfield township
  • Hendricks township
  • Hudson township
  • Marquette township
  • Moran township
  • Newton township
  • Portage township
  • Richmond township
  • Arcadia township
  • Cleon township
  • Dickson township
  • Maple Grove township
  • Springdale township
  • Champion township
  • Ely township
  • Marquette charter township
  • Michigamme township
  • Negaunee township
  • Powell township
  • Tilden township
  • Turin township
  • Wells township
  • Custer township
  • Free Soil township
  • Grant township
  • Logan township
  • Pere Marquette charter township
  • Victory township
  • Austin township
  • Green charter township
  • Hinton township
  • Martiny township
  • Millbrook township
  • Morton township
  • Cedarville township
  • Faithorn township
  • Gourley township
  • Holmes township
  • Ingallston township
  • Nadeau township
  • Spalding township
  • Geneva township
  • Lee township
  • Lincoln township
  • Midland charter township
  • Porter township
  • Aetna township
  • Bloomfield township
  • Clam Union township
  • Lake township
  • Norwich township
  • Reeder township
  • Riverside township
  • West Branch township
  • Ida township
  • Belvidere township
  • Bushnell township
  • Cato township
  • Eureka township
  • Ferris township
  • Loud township
  • Rust township
  • Cedar Creek township
  • Fruitland township
  • Ravenna township
  • Sullivan township
  • Barton township
  • Bridgeton township
  • Brooks township
  • Denver township
  • Goodwell township
  • Lilley township
  • Lincoln township
  • Merrill township
  • Monroe township
  • Troy township
  • Crystal township
  • Elbridge township
  • Ferry township
  • Golden township
  • Pentwater township
  • Edwards township
  • Goodar township
  • Horton township
  • Klacking township
  • Logan township
  • Ogemaw township
  • Rose township
  • Bergland township
  • Bohemia township
  • Haight township
  • Matchwood township
  • Cedar township
  • Highland township
  • Le Roy township
  • Marion township
  • Middle Branch township
  • Orient township
  • Rose Lake township
  • Big Creek township
  • Clinton township
  • Greenwood township
  • Charlton township
  • Corwith township
  • Dover township
  • Allis township
  • Case township
  • Krakow township
  • Metz township
  • Moltke township
  • Ocqueoc township
  • Posen township
  • Presque Isle township
  • Pulawski township
  • Rogers township
  • Au Sable township
  • Denton township
  • Lake township
  • Lyon township
  • Markey township
  • Nester township
  • Albee township
  • Blumfield township
  • Brant township
  • Frankenmuth township
  • Fremont township
  • Jonesfield township
  • Maple Grove township
  • Zilwaukee township
  • Berlin township
  • China township
  • Cottrellville township
  • Emmett township
  • Lynn township
  • Burr Oak township
  • Fawn River township
  • Florence township
  • Flowerfield township
  • Mendon township
  • Austin township
  • Delaware township
  • Elmer township
  • Flynn township
  • Maple Valley township
  • Minden township
  • Moore township
  • Sanilac township
  • Wheatland township
  • Hiawatha township
  • Inwood township
  • Seney township
  • Thompson township
  • Antrim township
  • Caledonia charter township
  • Fairfield township
  • Hazelton township
  • Almer township
  • Denmark township
  • Elmwood township
  • Gilford township
  • Indianfields township
  • Juniata township
  • Tuscola township
  • Vassar township
  • Almena township
  • Columbia township
  • Keeler township
  • Lawrence township
  • Antioch township
  • Greenwood township
  • Henderson township
* 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 Michigan by their Asian population, using the most recent ACS data available.

How the Census Defines 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 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 Asian alone, while others identify as Asian along with another race (such as Asian and White).
  • Hispanic / Latino origin is reported separately from race, so someone can be both Hispanic and Asian .
  • We’ve used the “Asian alone or in combination” category unless noted otherwise, which gives a broader picture of the Asian population in each area.

How We Ranked the Data

This ranking is based on the total number of people who identified as 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 Asian .
  2. % of Total Michigan Asian Population – This tells us how much of the entire U.S. 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 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 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 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.