2025

Cities in Michigan ranked by Multi-Racial Asian Population

This list ranks the 1773 cities in Michigan based on their Multi-Racial 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 Multi-Racial Asian population in Michigan

View All
  • 1
    Detroit
    Multi-Racial Asian population in Detroit is 13,404
    1.99% of Detroit population is Multi-Racial Asian
  • 2
    Ann Arbor
    Multi-Racial Asian population in Ann Arbor is 21,517
    16.45% of Ann Arbor population is Multi-Racial Asian
  • 3
    Grand Rapids
    Multi-Racial Asian population in Grand Rapids is 8,134
    3.61% of Grand Rapids population is Multi-Racial Asian
  • 4
    Dearborn
    Multi-Racial Asian population in Dearborn is 4,491
    3.93% of Dearborn population is Multi-Racial Asian
  • 5
    Sterling Heights
    Multi-Racial Asian population in Sterling Heights is 13,749
    9.85% of Sterling Heights population is Multi-Racial Asian

List of 1773 cities in Michigan by Multi-Racial Asian Population

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

List of cities with no Multi-Racial Asian Population in Michigan

According to data from the United States Census Bureau, the following cities in Michigan have no recorded Multi-Racial 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 Multi-Racial Asian population, using the most recent ACS data available.

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

How We Ranked the Data

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