Italian Population in Michigan by City : 2025 Ranking & Insights

The Italian population in Michigan is reported as 437,343, with the largest concentrations in cities like Macomb township (14,203), Clinton charter township (11,007), and Sterling Heights (10,404). Interestingly, the combined city-level total exceeds the statewide figure - a discrepancy that may reflect rounding, reporting lags, or cross-boundary overlaps in census data. This distribution highlights strong urban clustering alongside possible undercounts in state-level aggregates. The analysis below explores how Italian communities take shape across Michigan and how these patterns compare with other states across the nation.

Top 5 cities with the largest Italian population in Michigan

  • 1
    Macomb township
    Italian population in Macomb township is 14,203
    15.45% of Macomb township population is Italian
  • 2
    Clinton charter township
    Italian population in Clinton charter township is 11,007
    11.01% of Clinton charter township population is Italian
  • 3
    Sterling Heights
    Italian population in Sterling Heights is 10,404
    7.79% of Sterling Heights population is Italian
  • 4
    Shelby charter township
    Italian population in Shelby charter township is 10,261
    12.89% of Shelby charter township population is Italian
  • 5
    Warren
    Italian population in Warren is 8,841
    6.40% of Warren population is Italian

Overview of Italian population in Michigan

  • Population Count and Percentage: American Community Survey documents Michigan with 437,343 Italian residents (4.4% of 10.1 million total state population), ranking the state at the 81st percentile nationally among U.S. jurisdictions for Italian demographic representation.
  • Comparison to State and National Averages: U.S. Census surveys show Michigan's Italian demographic representation of 4.4% remains below the national average of 4.9%, positioning the state below typical U.S. demographic distribution patterns.
  • Share of Total National Population: Official American Community Survey records show Michigan hosts 437,343 Italian residents, representing 2.7% of the nation's total Italian population of 16.2 million, establishing the state as a significant demographic concentration center within national boundaries.
  • Population Density per Square Mile: U.S. Census Bureau's American Community Survey data show Michigan maintains 7.7 Italian Americans per square mile compared to the national average of 4.6, indicating higher demographic concentration relative to national averages.
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1,552 Cities in Michigan Ranked by Italian Population

American Community Survey data [1] show Italian population in Michigan present in Macomb township, Clinton charter township, and Sterling Heights, along with several other incorporated cities reporting non-zero populations. The table below provides broader statistics, including total population figures, density measures, and demographic distributions based on current ACS data for all incorporated cities included in this analysis*.
cities in Michigan ranked by Italian population count
Rank by Italian Population
City
Italian Population
% of Total City Population
% of Total Michigan Italian Population
5 Year Rank Trend
1 Macomb township 14,203 15.45% 3.25%
2 Clinton charter township 11,007 11.01% 2.52%
3 Sterling Heights 10,404 7.79% 2.38%
4 Shelby charter township 10,261 12.89% 2.35%
5 Warren 8,841 6.40% 2.02%
6 Livonia 7,660 8.14% 1.75%
7 St. Clair Shores 7,144 12.26% 1.63%
8 6,214 8.17% 1.42%
9 6,190 3.13% 1.42%
10 6,109 7.00% 1.40%
11 5,996 13.18% 1.37%
12 5,513 4.55% 1.26%
13 5,171 5.26% 1.18%
14 5,056 0.79% 1.16%
15 4,671 9.89% 1.07%
16 4,643 8.02% 1.06%
17 4,122 6.22% 0.94%
18 4,027 5.74% 0.92%
19 3,854 13.58% 0.88%
20 3,761 4.51% 0.86%
21 3,641 4.33% 0.83%
22 3,587 3.19% 0.82%
23 3,506 3.25% 0.80%
24 3,321 8.67% 0.76%
25 2,868 9.23% 0.66%
26 2,798 9.95% 0.64%
27 2,753 8.77% 0.63%
28 2,746 11.46% 0.63%
29 2,688 6.11% 0.61%
30 2,626 6.08% 0.60%
31 2,584 10.72% 0.59%
32 2,563 3.33% 0.59%
33 2,473 5.45% 0.57%
34 2,412 3.68% 0.55%
35 2,377 6.48% 0.54%
36 2,316 3.71% 0.53%
37 2,286 8.30% 0.52%
38 2,268 11.28% 0.52%
39 2,148 6.52% 0.49%
40 2,020 4.61% 0.46%
41 2,011 6.81% 0.46%
42 1,975 6.95% 0.45%
43 1,963 10.76% 0.45%
44 1,847 2.97% 0.42%
45 1,819 3.34% 0.42%
46 1,810 2.48% 0.41%
47 1,769 5.20% 0.40%
48 1,750 8.10% 0.40%
49 1,697 11.62% 0.39%
50 1,694 10.47% 0.39%
51 1,669 5.24% 0.38%
52 1,661 6.17% 0.38%
53 1,599 6.50% 0.37%
54 1,595 16.74% 0.36%
55 1,571 3.80% 0.36%
56 1,565 3.19% 0.36%
57 1,535 6.84% 0.35%
58 1,522 7.04% 0.35%
59 1,520 3.88% 0.35%
60 1,504 7.85% 0.34%
60 1,504 11.62% 0.34%
61 1,475 2.67% 0.34%
62 1,466 7.09% 0.34%
63 1,441 2.96% 0.33%
64 1,435 3.63% 0.33%
65 1,428 11.56% 0.33%
66 1,424 1.76% 0.33%
67 1,401 11.62% 0.32%
68 1,382 3.25% 0.32%
69 1,351 8.96% 0.31%
70 1,294 6.57% 0.30%
71 1,292 11.34% 0.30%
72 1,268 4.81% 0.29%
73 1,250 8.14% 0.29%
74 1,237 6.42% 0.28%
75 1,224 5.75% 0.28%
76 1,215 5.88% 0.28%
77 1,210 3.04% 0.28%
78 1,192 4.10% 0.27%
79 1,190 11.22% 0.27%
80 1,187 5.54% 0.27%
81 1,184 4.75% 0.27%
82 1,177 6.70% 0.27%
83 1,173 4.08% 0.27%
84 1,144 5.74% 0.26%
85 1,120 3.32% 0.26%
86 1,119 6.57% 0.26%
87 1,106 1.45% 0.25%
88 1,049 5.16% 0.24%
89 971 4.93% 0.22%
89 971 1.79% 0.22%
90 961 2.91% 0.22%
91 960 6.45% 0.22%
92 956 4.19% 0.22%
93 950 3.42% 0.22%
94 939 12.51% 0.21%
95 923 10.98% 0.21%
96 921 7.51% 0.21%
97 912 7.04% 0.21%
98 910 8.05% 0.21%
99 909 8.03% 0.21%
100 907 5.30% 0.21%
101 902 18.03% 0.21%
102 901 6.13% 0.21%
103 900 1.72% 0.21%
104 886 5.75% 0.20%
105 881 5.24% 0.20%
106 878 4.90% 0.20%
107 875 6.86% 0.20%
108 862 8.12% 0.20%
109 857 5.96% 0.20%
110 856 5.50% 0.20%
111 855 2.90% 0.20%
112 851 5.76% 0.19%
113 846 4.28% 0.19%
113 846 2.81% 0.19%
114 844 14.43% 0.19%
115 843 2.70% 0.19%
116 829 6.22% 0.19%
117 825 4.31% 0.19%
118 820 14.75% 0.19%
119 815 2.99% 0.19%
120 814 8.18% 0.19%
121 804 6.01% 0.18%
122 799 9.11% 0.18%
123 796 8.03% 0.18%
124 793 3.34% 0.18%
125 788 12.43% 0.18%
126 785 9.23% 0.18%
127 776 1.25% 0.18%
128 769 4.06% 0.18%
129 761 6.40% 0.17%
130 754 3.02% 0.17%
131 746 12.27% 0.17%
132 736 2.92% 0.17%
133 719 2.88% 0.16%
134 713 9.25% 0.16%
135 711 18.81% 0.16%
135 711 5.94% 0.16%
136 709 5.84% 0.16%
137 691 5.84% 0.16%
138 680 7.36% 0.16%
139 671 1.71% 0.15%
140 663 5.63% 0.15%
141 655 2.02% 0.15%
141 655 4.29% 0.15%
142 652 1.90% 0.15%
143 649 6.44% 0.15%
144 637 4.61% 0.15%
145 634 15.28% 0.15%
146 627 1.69% 0.14%
147 618 5.42% 0.14%
147 618 7.92% 0.14%
148 615 5.90% 0.14%
149 613 2.39% 0.14%
150 608 3.59% 0.14%
151 600 1.92% 0.14%
151 600 3.89% 0.14%
152 593 5.17% 0.14%
153 585 9.48% 0.13%
154 581 7.27% 0.13%
155 577 3.93% 0.13%
156 568 3.26% 0.13%
157 566 4.20% 0.13%
157 566 3.79% 0.13%
157 566 4.92% 0.13%
158 559 3.68% 0.13%
159 554 6.56% 0.13%
160 553 13.47% 0.13%
160 553 7.79% 0.13%
161 552 2.69% 0.13%
161 552 5.12% 0.13%
162 547 3.53% 0.13%
163 543 5.17% 0.12%
163 543 6.50% 0.12%
164 535 1.82% 0.12%
165 528 6.37% 0.12%
165 528 8.94% 0.12%
166 527 1.20% 0.12%
167 525 2.57% 0.12%
168 522 5.26% 0.12%
169 519 6.85% 0.12%
170 509 4.89% 0.12%
171 507 5.56% 0.12%
172 506 5.82% 0.12%
172 506 16.82% 0.12%
173 504 7.23% 0.12%
174 501 9.43% 0.11%
175 499 4.25% 0.11%
176 497 3.36% 0.11%
177 493 4.50% 0.11%
178 487 8.73% 0.11%
179 485 2.99% 0.11%
180 477 2.96% 0.11%
181 472 3.38% 0.11%
182 469 2.07% 0.11%
183 468 3.25% 0.11%
184 467 9.09% 0.11%
184 467 5.20% 0.11%
185 466 7.66% 0.11%
186 465 6.66% 0.11%
187 464 8.71% 0.11%
188 462 17.84% 0.11%
189 457 7.07% 0.10%
190 456 4.26% 0.10%
191 453 6.83% 0.10%
192 449 3.76% 0.10%
193 445 3.10% 0.10%
194 444 4.51% 0.10%
195 439 7.36% 0.10%
195 439 5.48% 0.10%
196 437 3.03% 0.10%
197 432 8.33% 0.10%
198 418 7.34% 0.10%
199 417 2.80% 0.10%
200 414 6.31% 0.09%
201 413 5.20% 0.09%
202 412 4.28% 0.09%
203 409 4.11% 0.09%
203 409 4.73% 0.09%
204 402 8.14% 0.09%
204 402 4.82% 0.09%
205 399 8.60% 0.09%
206 390 6.24% 0.09%
206 390 8.65% 0.09%
207 389 6.65% 0.09%
208 388 6.17% 0.09%
209 385 6.59% 0.09%
210 384 2.53% 0.09%
210 384 2.17% 0.09%
211 382 11.22% 0.09%
212 376 3.78% 0.09%
213 375 2.71% 0.09%
214 372 1.82% 0.09%
215 370 2.64% 0.08%
216 367 9.18% 0.08%
217 365 21.05% 0.08%
217 365 1.94% 0.08%
218 362 2.53% 0.08%
219 360 13.94% 0.08%
220 357 1.93% 0.08%
221 356 6.38% 0.08%
221 356 4.89% 0.08%
222 355 7.13% 0.08%
223 353 2.80% 0.08%
224 352 10.29% 0.08%
225 351 10.66% 0.08%
225 351 6.13% 0.08%
225 351 11.90% 0.08%
226 346 4.40% 0.08%
227 343 3.22% 0.08%
228 340 2.23% 0.08%
229 331 9.06% 0.08%
229 331 7.23% 0.08%
230 329 7.32% 0.08%
231 328 4.13% 0.08%
231 328 7.91% 0.08%
232 324 8.53% 0.07%
233 322 6.40% 0.07%
233 322 3.50% 0.07%
234 321 2.76% 0.07%
235 318 6.41% 0.07%
236 316 5.04% 0.07%
237 313 8.95% 0.07%
238 312 5.06% 0.07%
239 301 1.52% 0.07%
240 299 7.18% 0.07%
240 299 5.83% 0.07%
241 292 7.51% 0.07%
242 290 7.21% 0.07%
243 289 3.54% 0.07%
244 287 2.75% 0.07%
244 287 7.16% 0.07%
245 286 1.95% 0.07%
245 286 15.99% 0.07%
246 285 4.51% 0.07%
247 284 3.10% 0.06%
248 282 6.02% 0.06%
249 281 9.78% 0.06%
250 277 5.11% 0.06%
250 277 5.33% 0.06%
251 275 4.77% 0.06%
251 275 6.14% 0.06%
252 273 4.60% 0.06%
253 272 3.20% 0.06%
254 271 3.80% 0.06%
255 270 3.09% 0.06%
256 269 5.13% 0.06%
257 267 6.82% 0.06%
258 266 3.18% 0.06%
259 263 16.87% 0.06%
260 262 5.94% 0.06%
260 262 4.39% 0.06%
260 262 2.21% 0.06%
261 261 4.95% 0.06%
262 259 4.20% 0.06%
263 256 2.70% 0.06%
263 256 2.07% 0.06%
264 255 5.32% 0.06%
265 253 2.73% 0.06%
266 252 5.20% 0.06%
266 252 2.78% 0.06%
267 251 3.95% 0.06%
267 251 5.23% 0.06%
267 251 9.97% 0.06%
267 251 7.28% 0.06%
268 249 3.53% 0.06%
269 244 7.14% 0.06%
270 243 2.65% 0.06%
271 242 5.83% 0.06%
271 242 5.65% 0.06%
271 242 3.53% 0.06%
272 240 5.75% 0.05%
273 239 6.63% 0.05%
274 238 5.38% 0.05%
275 237 6.93% 0.05%
276 235 7.51% 0.05%
276 235 8.29% 0.05%
277 234 2.98% 0.05%
277 234 2.84% 0.05%
278 233 2.80% 0.05%
278 233 4.35% 0.05%
279 232 8.23% 0.05%
279 232 5.10% 0.05%
279 232 7.80% 0.05%
280 231 4.55% 0.05%
280 231 1.75% 0.05%
281 229 2.43% 0.05%
281 229 2.57% 0.05%
282 228 4.76% 0.05%
283 226 8.67% 0.05%
284 224 3.02% 0.05%
285 223 1.99% 0.05%
285 223 3.96% 0.05%
286 222 8.51% 0.05%
287 221 2.80% 0.05%
287 221 5.43% 0.05%
287 221 4.79% 0.05%
288 218 6.47% 0.05%
289 217 5.36% 0.05%
289 217 7.27% 0.05%
290 216 5.86% 0.05%
291 213 2.09% 0.05%
291 213 18.59% 0.05%
291 213 6.53% 0.05%
292 212 5.04% 0.05%
292 212 6.61% 0.05%
292 212 3.26% 0.05%
292 212 1.76% 0.05%
293 211 3.48% 0.05%
294 209 1.72% 0.05%
294 209 3.52% 0.05%
294 209 3.18% 0.05%
295 208 4.85% 0.05%
295 208 3.88% 0.05%
296 206 8.93% 0.05%
296 206 3.52% 0.05%
297 205 2.87% 0.05%
297 205 2.14% 0.05%
298 204 3.20% 0.05%
299 203 3.92% 0.05%
299 203 3.09% 0.05%
300 202 2.14% 0.05%
301 201 0.79% 0.05%
302 199 3.20% 0.05%
302 199 12.91% 0.05%
303 198 5.69% 0.05%
304 197 4.18% 0.05%
305 196 6.33% 0.04%
306 195 2.18% 0.04%
307 193 4.93% 0.04%
307 193 3.15% 0.04%
308 191 10.74% 0.04%
309 190 6.71% 0.04%
310 189 2.82% 0.04%
310 189 4.08% 0.04%
311 188 3.80% 0.04%
311 188 2.72% 0.04%
312 187 5.83% 0.04%
313 185 5.56% 0.04%
314 183 4.68% 0.04%
314 183 2.23% 0.04%
315 182 9.30% 0.04%
316 180 2.42% 0.04%
317 179 1.97% 0.04%
317 179 9.32% 0.04%
317 179 3.07% 0.04%
317 179 2.60% 0.04%
318 178 2.34% 0.04%
318 178 4.13% 0.04%
319 175 7.34% 0.04%
320 174 2.17% 0.04%
321 171 6.83% 0.04%
322 170 3.56% 0.04%
322 170 2.67% 0.04%
323 169 2.68% 0.04%
323 169 4.25% 0.04%
324 168 3.64% 0.04%
325 167 4.19% 0.04%
325 167 2.68% 0.04%
326 166 3.86% 0.04%
326 166 2.13% 0.04%
327 165 3.01% 0.04%
327 165 1.71% 0.04%
327 165 0.59% 0.04%
327 165 3.26% 0.04%
328 164 1.79% 0.04%
328 164 2.76% 0.04%
329 163 4.12% 0.04%
329 163 5.22% 0.04%
329 163 4.69% 0.04%
330 162 3.74% 0.04%
330 162 5.31% 0.04%
331 161 5.08% 0.04%
332 159 2.09% 0.04%
332 159 6.41% 0.04%
332 159 2.53% 0.04%
333 157 4.88% 0.04%
333 157 2.94% 0.04%
334 155 4.89% 0.04%
335 154 4.12% 0.04%
335 154 7.91% 0.04%
336 153 4.58% 0.04%
337 152 7.15% 0.03%
338 151 3.10% 0.03%
339 149 1.95% 0.03%
339 149 5.61% 0.03%
340 148 3.71% 0.03%
340 148 12.14% 0.03%
341 146 4.15% 0.03%
342 145 2.36% 0.03%
343 144 3.56% 0.03%
343 144 4.52% 0.03%
344 143 6.18% 0.03%
345 142 5.14% 0.03%
345 142 5.68% 0.03%
345 142 2.93% 0.03%
346 141 6.06% 0.03%
347 140 4.94% 0.03%
348 139 1.53% 0.03%
348 139 4.97% 0.03%
348 139 1.80% 0.03%
348 139 8.31% 0.03%
349 137 4.00% 0.03%
350 135 2.23% 0.03%
350 135 5.20% 0.03%
351 134 1.90% 0.03%
351 134 8.50% 0.03%
351 134 9.44% 0.03%
352 133 5.18% 0.03%
352 133 3.96% 0.03%
352 133 3.73% 0.03%
353 132 7.69% 0.03%
353 132 3.51% 0.03%
354 131 7.67% 0.03%
355 130 2.25% 0.03%
356 129 3.83% 0.03%
356 129 14.97% 0.03%
357 128 1.42% 0.03%
357 128 4.51% 0.03%
358 127 1.57% 0.03%
358 127 5.58% 0.03%
359 126 7.71% 0.03%
360 125 4.79% 0.03%
361 123 6.56% 0.03%
361 123 3.30% 0.03%
361 123 4.12% 0.03%
361 123 2.15% 0.03%
362 122 5.55% 0.03%
363 121 2.90% 0.03%
364 120 3.81% 0.03%
364 120 1.52% 0.03%
364 120 2.77% 0.03%
364 120 2.93% 0.03%
364 120 2.87% 0.03%
364 120 1.28% 0.03%
365 119 5.18% 0.03%
365 119 4.67% 0.03%
365 119 6.97% 0.03%
366 118 4.62% 0.03%
366 118 1.68% 0.03%
366 118 3.56% 0.03%
366 118 9.04% 0.03%
366 118 2.47% 0.03%
367 117 4.93% 0.03%
367 117 4.12% 0.03%
368 116 7.31% 0.03%
368 116 1.54% 0.03%
368 116 3.10% 0.03%
368 116 1.71% 0.03%
368 116 3.26% 0.03%
368 116 3.81% 0.03%
368 116 3.25% 0.03%
369 115 1.89% 0.03%
369 115 1.04% 0.03%
370 114 6.40% 0.03%
371 113 2.37% 0.03%
371 113 2.65% 0.03%
371 113 7.60% 0.03%
372 112 5.48% 0.03%
372 112 4.24% 0.03%
373 111 4.13% 0.03%
373 111 6.03% 0.03%
373 111 4.03% 0.03%
373 111 3.49% 0.03%
374 109 1.92% 0.02%
374 109 2.09% 0.02%
374 109 2.80% 0.02%
375 108 3.33% 0.02%
375 108 2.11% 0.02%
375 108 10.36% 0.02%
375 108 4.06% 0.02%
375 108 2.43% 0.02%
375 108 2.77% 0.02%
376 107 2.40% 0.02%
376 107 3.83% 0.02%
376 107 2.11% 0.02%
376 107 3.08% 0.02%
377 106 2.77% 0.02%
377 106 3.01% 0.02%
377 106 4.74% 0.02%
377 106 5.06% 0.02%
378 105 4.04% 0.02%
378 105 9.02% 0.02%
379 104 2.17% 0.02%
379 104 8.31% 0.02%
379 104 3.42% 0.02%
379 104 3.42% 0.02%
380 103 4.05% 0.02%
380 103 4.26% 0.02%
380 103 10.30% 0.02%
380 103 4.14% 0.02%
380 103 5.38% 0.02%
381 102 5.87% 0.02%
381 102 2.56% 0.02%
381 102 4.13% 0.02%
382 101 2.65% 0.02%
382 101 18.26% 0.02%
382 101 3.02% 0.02%
382 101 8.49% 0.02%
382 101 3.91% 0.02%
382 101 3.51% 0.02%
382 101 3.55% 0.02%
383 100 2.95% 0.02%
383 100 1.64% 0.02%
383 100 2.35% 0.02%
383 100 2.26% 0.02%
384 99 4.27% 0.02%
385 98 1.42% 0.02%
386 97 1.65% 0.02%
386 97 5.09% 0.02%
386 97 2.36% 0.02%
386 97 3.83% 0.02%
386 97 5.24% 0.02%
387 96 3.64% 0.02%
387 96 2.07% 0.02%
387 96 1.80% 0.02%
388 95 5.34% 0.02%
388 95 5.27% 0.02%
388 95 8.96% 0.02%
388 95 2.95% 0.02%
388 95 3.01% 0.02%
388 95 8.58% 0.02%
388 95 5.58% 0.02%
389 94 3.37% 0.02%
389 94 4.12% 0.02%
390 93 4.48% 0.02%
390 93 2.65% 0.02%
390 93 2.44% 0.02%
390 93 5.67% 0.02%
390 93 4.46% 0.02%
391 92 7.25% 0.02%
391 92 3.08% 0.02%
392 91 1.37% 0.02%
392 91 2.46% 0.02%
392 91 2.55% 0.02%
392 91 2.40% 0.02%
392 91 4.80% 0.02%
393 90 5.22% 0.02%
393 90 2.59% 0.02%
393 90 2.04% 0.02%
393 90 7.14% 0.02%
393 90 3.01% 0.02%
394 89 2.96% 0.02%
394 89 9.59% 0.02%
394 89 3.91% 0.02%
394 89 8.40% 0.02%
395 88 3.29% 0.02%
395 88 3.56% 0.02%
395 88 1.88% 0.02%
395 88 2.69% 0.02%
395 88 1.71% 0.02%
396 87 3.08% 0.02%
396 87 9.23% 0.02%
396 87 4.51% 0.02%
396 87 7.26% 0.02%
396 87 2.22% 0.02%
397 86 2.50% 0.02%
397 86 5.21% 0.02%
397 86 2.16% 0.02%
397 86 1.44% 0.02%
398 85 8.15% 0.02%
398 85 3.01% 0.02%
398 85 4.47% 0.02%
398 85 5.01% 0.02%
398 85 4.44% 0.02%
398 85 1.87% 0.02%
398 85 2.22% 0.02%
399 84 2.37% 0.02%
399 84 10.41% 0.02%
400 83 4.06% 0.02%
400 83 1.87% 0.02%
400 83 3.59% 0.02%
400 83 4.09% 0.02%
400 83 7.69% 0.02%
400 83 9.19% 0.02%
401 82 4.74% 0.02%
401 82 10.42% 0.02%
401 82 3.50% 0.02%
402 81 2.42% 0.02%
402 81 5.41% 0.02%
402 81 1.59% 0.02%
402 81 2.82% 0.02%
403 80 0.90% 0.02%
403 80 4.02% 0.02%
403 80 1.63% 0.02%
403 80 3.01% 0.02%
403 80 4.01% 0.02%
404 79 1.33% 0.02%
404 79 2.85% 0.02%
404 79 2.99% 0.02%
404 79 2.36% 0.02%
404 79 2.58% 0.02%
404 79 1.11% 0.02%
404 79 3.63% 0.02%
405 78 4.10% 0.02%
405 78 2.85% 0.02%
405 78 2.81% 0.02%
405 78 1.92% 0.02%
405 78 2.03% 0.02%
405 78 1.42% 0.02%
406 77 3.75% 0.02%
406 77 2.61% 0.02%
407 76 2.18% 0.02%
407 76 4.64% 0.02%
407 76 3.29% 0.02%
407 76 1.91% 0.02%
407 76 4.07% 0.02%
408 75 2.67% 0.02%
408 75 2.30% 0.02%
408 75 6.90% 0.02%
408 75 3.91% 0.02%
408 75 4.53% 0.02%
408 75 2.09% 0.02%
409 74 5.65% 0.02%
409 74 3.66% 0.02%
409 74 6.32% 0.02%
409 74 3.63% 0.02%
409 74 1.81% 0.02%
409 74 3.44% 0.02%
410 73 2.66% 0.02%
410 73 2.13% 0.02%
410 73 1.91% 0.02%
410 73 2.71% 0.02%
410 73 3.85% 0.02%
410 73 8.67% 0.02%
411 72 3.29% 0.02%
411 72 1.69% 0.02%
411 72 6.22% 0.02%
411 72 2.59% 0.02%
411 72 5.69% 0.02%
411 72 3.75% 0.02%
412 71 2.82% 0.02%
412 71 2.16% 0.02%
412 71 1.80% 0.02%
412 71 1.72% 0.02%
412 71 10.87% 0.02%
412 71 3.68% 0.02%
413 70 3.92% 0.02%
413 70 1.73% 0.02%
413 70 2.22% 0.02%
413 70 4.48% 0.02%
414 69 6.92% 0.02%
414 69 5.97% 0.02%
414 69 4.28% 0.02%
414 69 6.44% 0.02%
414 69 5.67% 0.02%
415 68 1.62% 0.02%
415 68 4.18% 0.02%
415 68 5.14% 0.02%
416 67 2.85% 0.02%
417 66 4.17% 0.02%
417 66 4.30% 0.02%
417 66 3.78% 0.02%
417 66 2.16% 0.02%
417 66 1.78% 0.02%
417 66 1.79% 0.02%
418 65 2.33% 0.01%
418 65 2.25% 0.01%
418 65 2.05% 0.01%
419 64 2.72% 0.01%
419 64 4.11% 0.01%
419 64 1.41% 0.01%
419 64 5.04% 0.01%
419 64 4.72% 0.01%
419 64 1.70% 0.01%
419 64 4.33% 0.01%
420 63 2.57% 0.01%
420 63 3.57% 0.01%
420 63 3.58% 0.01%
420 63 2.37% 0.01%
420 63 3.35% 0.01%
420 63 1.67% 0.01%
421 62 2.18% 0.01%
421 62 1.69% 0.01%
421 62 1.30% 0.01%
422 61 2.44% 0.01%
422 61 2.09% 0.01%
422 61 2.82% 0.01%
422 61 2.07% 0.01%
422 61 2.95% 0.01%
422 61 1.90% 0.01%
422 61 1.92% 0.01%
423 60 2.74% 0.01%
423 60 2.59% 0.01%
423 60 3.34% 0.01%
423 60 8.53% 0.01%
423 60 2.20% 0.01%
424 59 1.87% 0.01%
424 59 2.49% 0.01%
424 59 1.34% 0.01%
424 59 8.82% 0.01%
424 59 2.63% 0.01%
424 59 6.29% 0.01%
424 59 1.45% 0.01%
424 59 3.32% 0.01%
425 58 1.34% 0.01%
425 58 3.16% 0.01%
425 58 3.02% 0.01%
425 58 3.09% 0.01%
425 58 2.73% 0.01%
425 58 4.11% 0.01%
425 58 1.92% 0.01%
425 58 4.29% 0.01%
425 58 2.73% 0.01%
425 58 2.41% 0.01%
426 57 4.96% 0.01%
426 57 1.60% 0.01%
426 57 3.15% 0.01%
426 57 1.29% 0.01%
426 57 2.62% 0.01%
426 57 5.32% 0.01%
426 57 1.74% 0.01%
426 57 1.42% 0.01%
426 57 3.96% 0.01%
426 57 2.01% 0.01%
426 57 2.67% 0.01%
426 57 3.80% 0.01%
426 57 4.00% 0.01%
427 56 6.71% 0.01%
427 56 5.19% 0.01%
427 56 3.16% 0.01%
427 56 2.00% 0.01%
427 56 2.48% 0.01%
427 56 2.96% 0.01%
427 56 2.09% 0.01%
427 56 1.11% 0.01%
428 55 5.52% 0.01%
428 55 6.15% 0.01%
428 55 2.84% 0.01%
428 55 1.83% 0.01%
428 55 2.85% 0.01%
428 55 4.18% 0.01%
428 55 3.03% 0.01%
428 55 2.15% 0.01%
428 55 3.79% 0.01%
428 55 2.52% 0.01%
428 55 2.04% 0.01%
428 55 4.81% 0.01%
428 55 4.45% 0.01%
429 54 0.75% 0.01%
429 54 3.76% 0.01%
429 54 5.61% 0.01%
429 54 2.12% 0.01%
429 54 1.65% 0.01%
429 54 1.75% 0.01%
429 54 2.58% 0.01%
430 53 1.83% 0.01%
430 53 2.54% 0.01%
430 53 2.46% 0.01%
431 52 1.95% 0.01%
431 52 2.53% 0.01%
431 52 1.95% 0.01%
431 52 1.48% 0.01%
431 52 2.17% 0.01%
431 52 2.80% 0.01%
431 52 1.65% 0.01%
432 51 1.96% 0.01%
432 51 8.70% 0.01%
432 51 1.84% 0.01%
432 51 0.67% 0.01%
432 51 2.72% 0.01%
433 50 7.40% 0.01%
433 50 2.77% 0.01%
433 50 1.02% 0.01%
433 50 4.15% 0.01%
433 50 4.34% 0.01%
433 50 3.39% 0.01%
433 50 1.90% 0.01%
434 49 3.79% 0.01%
434 49 2.83% 0.01%
434 49 1.95% 0.01%
434 49 2.86% 0.01%
434 49 2.78% 0.01%
434 49 5.52% 0.01%
434 49 4.09% 0.01%
434 49 1.82% 0.01%
434 49 1.91% 0.01%
435 48 3.10% 0.01%
435 48 3.88% 0.01%
435 48 2.64% 0.01%
435 48 2.58% 0.01%
435 48 3.63% 0.01%
435 48 7.11% 0.01%
435 48 1.02% 0.01%
435 48 1.56% 0.01%
435 48 1.91% 0.01%
435 48 4.26% 0.01%
435 48 1.82% 0.01%
435 48 1.78% 0.01%
435 48 1.85% 0.01%
436 47 3.22% 0.01%
436 47 2.77% 0.01%
436 47 1.28% 0.01%
436 47 1.58% 0.01%
436 47 5.37% 0.01%
436 47 2.38% 0.01%
436 47 1.73% 0.01%
436 47 2.01% 0.01%
436 47 0.94% 0.01%
436 47 1.57% 0.01%
436 47 3.23% 0.01%
436 47 5.76% 0.01%
437 46 2.66% 0.01%
437 46 1.51% 0.01%
437 46 3.88% 0.01%
437 46 9.18% 0.01%
437 46 1.54% 0.01%
437 46 3.72% 0.01%
437 46 5.16% 0.01%
437 46 2.11% 0.01%
437 46 2.12% 0.01%
437 46 2.70% 0.01%
437 46 2.47% 0.01%
437 46 1.17% 0.01%
437 46 1.46% 0.01%
438 45 2.92% 0.01%
438 45 3.78% 0.01%
438 45 2.98% 0.01%
438 45 6.88% 0.01%
438 45 2.68% 0.01%
438 45 1.32% 0.01%
438 45 2.21% 0.01%
438 45 0.85% 0.01%
438 45 2.58% 0.01%
438 45 3.74% 0.01%
438 45 0.79% 0.01%
439 44 4.48% 0.01%
439 44 0.49% 0.01%
439 44 3.11% 0.01%
439 44 6.25% 0.01%
439 44 6.29% 0.01%
439 44 3.80% 0.01%
439 44 1.71% 0.01%
439 44 3.58% 0.01%
439 44 0.44% 0.01%
439 44 1.94% 0.01%
440 43 2.57% 0.01%
440 43 2.66% 0.01%
440 43 1.61% 0.01%
440 43 2.29% 0.01%
440 43 1.60% 0.01%
440 43 7.44% 0.01%
441 42 2.63% 0.01%
441 42 2.93% 0.01%
441 42 1.27% 0.01%
441 42 4.57% 0.01%
441 42 2.52% 0.01%
441 42 2.11% 0.01%
441 42 1.51% 0.01%
441 42 0.66% 0.01%
442 41 2.44% 0.01%
442 41 1.27% 0.01%
442 41 1.34% 0.01%
442 41 6.27% 0.01%
442 41 2.29% 0.01%
442 41 7.02% 0.01%
442 41 3.66% 0.01%
442 41 3.87% 0.01%
442 41 3.61% 0.01%
442 41 2.51% 0.01%
443 40 2.48% 0.01%
443 40 2.76% 0.01%
443 40 3.09% 0.01%
443 40 1.54% 0.01%
443 40 1.20% 0.01%
443 40 2.17% 0.01%
443 40 2.43% 0.01%
443 40 2.32% 0.01%
443 40 2.13% 0.01%
443 40 1.66% 0.01%
444 39 1.00% 0.01%
444 39 2.68% 0.01%
444 39 3.22% 0.01%
444 39 3.75% 0.01%
444 39 3.47% 0.01%
444 39 4.79% 0.01%
444 39 2.25% 0.01%
444 39 4.34% 0.01%
444 39 3.02% 0.01%
444 39 2.08% 0.01%
444 39 3.13% 0.01%
444 39 1.06% 0.01%
444 39 3.02% 0.01%
444 39 1.74% 0.01%
444 39 0.85% 0.01%
445 38 3.63% 0.01%
445 38 1.36% 0.01%
445 38 1.58% 0.01%
445 38 4.17% 0.01%
445 38 2.12% 0.01%
445 38 2.68% 0.01%
445 38 4.41% 0.01%
445 38 4.90% 0.01%
445 38 1.10% 0.01%
445 38 3.49% 0.01%
445 38 3.55% 0.01%
445 38 2.22% 0.01%
446 37 2.62% 0.01%
446 37 0.37% 0.01%
446 37 1.47% 0.01%
446 37 2.94% 0.01%
446 37 2.85% 0.01%
446 37 1.59% 0.01%
446 37 5.81% 0.01%
446 37 1.54% 0.01%
446 37 1.44% 0.01%
446 37 0.91% 0.01%
446 37 1.26% 0.01%
446 37 2.76% 0.01%
446 37 2.18% 0.01%
447 36 1.21% 0.01%
447 36 2.80% 0.01%
447 36 1.30% 0.01%
447 36 2.90% 0.01%
447 36 2.49% 0.01%
447 36 3.55% 0.01%
447 36 2.80% 0.01%
447 36 1.24% 0.01%
447 36 6.98% 0.01%
447 36 2.30% 0.01%
447 36 2.72% 0.01%
447 36 1.87% 0.01%
447 36 0.75% 0.01%
447 36 5.49% 0.01%
447 36 2.20% 0.01%
448 35 1.63% 0.01%
448 35 1.93% 0.01%
448 35 0.99% 0.01%
448 35 1.28% 0.01%
448 35 4.29% 0.01%
448 35 2.51% 0.01%
448 35 3.60% 0.01%
448 35 4.60% 0.01%
448 35 1.12% 0.01%
448 35 3.86% 0.01%
449 34 2.18% 0.01%
449 34 1.56% 0.01%
449 34 0.75% 0.01%
449 34 0.94% 0.01%
449 34 2.54% 0.01%
449 34 2.64% 0.01%
449 34 5.08% 0.01%
449 34 1.29% 0.01%
449 34 1.34% 0.01%
449 34 3.18% 0.01%
449 34 1.08% 0.01%
449 34 1.47% 0.01%
450 33 1.37% 0.01%
450 33 1.19% 0.01%
450 33 1.85% 0.01%
450 33 3.36% 0.01%
450 33 5.53% 0.01%
450 33 2.36% 0.01%
450 33 1.92% 0.01%
450 33 3.28% 0.01%
450 33 1.21% 0.01%
450 33 5.17% 0.01%
450 33 1.54% 0.01%
450 33 2.35% 0.01%
450 33 2.02% 0.01%
450 33 3.41% 0.01%
450 33 3.59% 0.01%
450 33 1.61% 0.01%
450 33 2.48% 0.01%
451 32 1.51% 0.01%
451 32 0.95% 0.01%
451 32 1.72% 0.01%
451 32 3.03% 0.01%
451 32 1.79% 0.01%
451 32 2.07% 0.01%
451 32 1.35% 0.01%
451 32 1.87% 0.01%
451 32 2.88% 0.01%
451 32 1.09% 0.01%
451 32 2.14% 0.01%
451 32 2.32% 0.01%
452 31 2.20% 0.01%
452 31 1.00% 0.01%
452 31 1.38% 0.01%
452 31 0.83% 0.01%
452 31 1.94% 0.01%
452 31 1.27% 0.01%
452 31 3.65% 0.01%
452 31 2.51% 0.01%
452 31 3.89% 0.01%
452 31 0.35% 0.01%
452 31 1.10% 0.01%
452 31 2.23% 0.01%
452 31 1.89% 0.01%
452 31 3.20% 0.01%
452 31 1.21% 0.01%
452 31 1.91% 0.01%
452 31 1.12% 0.01%
452 31 1.82% 0.01%
452 31 6.02% 0.01%
452 31 1.65% 0.01%
453 30 1.89% 0.01%
453 30 1.33% 0.01%
453 30 2.85% 0.01%
453 30 2.48% 0.01%
453 30 1.49% 0.01%
453 30 1.58% 0.01%
453 30 2.07% 0.01%
453 30 2.34% 0.01%
453 30 1.40% 0.01%
453 30 1.61% 0.01%
454 29 3.25% 0.01%
454 29 1.55% 0.01%
454 29 1.42% 0.01%
454 29 4.43% 0.01%
454 29 1.49% 0.01%
454 29 2.74% 0.01%
454 29 1.66% 0.01%
454 29 2.16% 0.01%
454 29 4.17% 0.01%
454 29 4.29% 0.01%
454 29 1.79% 0.01%
454 29 2.38% 0.01%
454 29 2.83% 0.01%
454 29 1.44% 0.01%
454 29 2.41% 0.01%
455 28 2.41% 0.01%
455 28 1.16% 0.01%
455 28 1.43% 0.01%
455 28 2.03% 0.01%
455 28 1.06% 0.01%
455 28 1.50% 0.01%
455 28 2.03% 0.01%
455 28 4.53% 0.01%
455 28 2.20% 0.01%
455 28 1.65% 0.01%
455 28 3.12% 0.01%
455 28 1.25% 0.01%
455 28 1.26% 0.01%
455 28 1.57% 0.01%
455 28 1.07% 0.01%
455 28 2.18% 0.01%
455 28 0.63% 0.01%
455 28 1.08% 0.01%
455 28 4.77% 0.01%
456 27 1.44% 0.01%
456 27 2.91% 0.01%
456 27 1.29% 0.01%
456 27 1.17% 0.01%
456 27 2.86% 0.01%
456 27 2.62% 0.01%
456 27 1.57% 0.01%
456 27 3.18% 0.01%
456 27 1.23% 0.01%
456 27 2.47% 0.01%
456 27 3.36% 0.01%
456 27 1.82% 0.01%
456 27 2.90% 0.01%
456 27 1.07% 0.01%
456 27 2.17% 0.01%
456 27 1.05% 0.01%
456 27 1.52% 0.01%
457 26 4.44% 0.01%
457 26 0.89% 0.01%
457 26 2.66% 0.01%
457 26 0.54% 0.01%
457 26 0.65% 0.01%
457 26 2.06% 0.01%
457 26 1.22% 0.01%
457 26 2.31% 0.01%
457 26 1.37% 0.01%
457 26 1.70% 0.01%
457 26 2.27% 0.01%
457 26 4.63% 0.01%
457 26 2.95% 0.01%
457 26 1.03% 0.01%
458 25 1.56% 0.01%
458 25 3.40% 0.01%
458 25 1.75% 0.01%
458 25 3.38% 0.01%
458 25 1.14% 0.01%
458 25 1.07% 0.01%
458 25 0.68% 0.01%
458 25 2.57% 0.01%
458 25 1.15% 0.01%
458 25 1.72% 0.01%
458 25 1.55% 0.01%
458 25 1.72% 0.01%
458 25 1.55% 0.01%
458 25 1.38% 0.01%
459 24 2.57% 0.01%
459 24 0.94% 0.01%
459 24 4.82% 0.01%
459 24 1.51% 0.01%
459 24 2.83% 0.01%
459 24 2.02% 0.01%
459 24 1.73% 0.01%
459 24 1.30% 0.01%
459 24 1.22% 0.01%
459 24 0.58% 0.01%
459 24 0.58% 0.01%
459 24 3.67% 0.01%
459 24 1.11% 0.01%
460 23 3.12% 0.01%
460 23 0.71% 0.01%
460 23 2.49% 0.01%
460 23 2.65% 0.01%
460 23 1.25% 0.01%
460 23 2.19% 0.01%
460 23 0.84% 0.01%
460 23 1.03% 0.01%
460 23 1.95% 0.01%
460 23 3.18% 0.01%
460 23 1.44% 0.01%
460 23 2.34% 0.01%
460 23 2.27% 0.01%
460 23 1.60% 0.01%
460 23 1.22% 0.01%
460 23 0.93% 0.01%
461 22 1.06% 0.01%
461 22 2.04% 0.01%
461 22 0.90% 0.01%
461 22 2.03% 0.01%
461 22 1.52% 0.01%
461 22 1.26% 0.01%
461 22 0.73% 0.01%
461 22 1.36% 0.01%
461 22 1.38% 0.01%
461 22 2.97% 0.01%
461 22 1.56% 0.01%
461 22 1.31% 0.01%
461 22 1.33% 0.01%
461 22 1.26% 0.01%
461 22 0.95% 0.01%
461 22 2.51% 0.01%
462 21 1.69% 0.00%
462 21 3.64% 0.00%
462 21 3.06% 0.00%
462 21 2.43% 0.00%
462 21 1.82% 0.00%
462 21 1.26% 0.00%
462 21 1.69% 0.00%
462 21 2.64% 0.00%
462 21 0.80% 0.00%
462 21 0.59% 0.00%
462 21 1.09% 0.00%
462 21 1.22% 0.00%
462 21 0.85% 0.00%
462 21 0.99% 0.00%
462 21 1.69% 0.00%
462 21 0.53% 0.00%
462 21 1.13% 0.00%
463 20 0.74% 0.00%
463 20 1.90% 0.00%
463 20 1.72% 0.00%
463 20 4.62% 0.00%
463 20 1.00% 0.00%
463 20 0.84% 0.00%
463 20 2.34% 0.00%
463 20 2.25% 0.00%
463 20 1.19% 0.00%
463 20 0.89% 0.00%
463 20 2.42% 0.00%
463 20 1.65% 0.00%
463 20 1.57% 0.00%
463 20 3.50% 0.00%
463 20 2.53% 0.00%
463 20 2.26% 0.00%
463 20 0.63% 0.00%
463 20 1.36% 0.00%
463 20 0.85% 0.00%
463 20 1.09% 0.00%
463 20 5.03% 0.00%
463 20 1.07% 0.00%
463 20 2.02% 0.00%
463 20 1.29% 0.00%
464 19 1.21% 0.00%
464 19 2.74% 0.00%
464 19 0.62% 0.00%
464 19 2.40% 0.00%
464 19 1.91% 0.00%
464 19 1.35% 0.00%
464 19 1.99% 0.00%
464 19 1.07% 0.00%
464 19 0.74% 0.00%
464 19 2.47% 0.00%
465 18 0.65% 0.00%
465 18 2.77% 0.00%
465 18 1.35% 0.00%
465 18 1.80% 0.00%
465 18 1.49% 0.00%
465 18 1.34% 0.00%
465 18 1.38% 0.00%
465 18 2.76% 0.00%
465 18 1.47% 0.00%
465 18 2.91% 0.00%
465 18 2.55% 0.00%
465 18 1.62% 0.00%
465 18 0.73% 0.00%
465 18 2.17% 0.00%
465 18 2.40% 0.00%
465 18 2.68% 0.00%
465 18 0.69% 0.00%
466 17 1.06% 0.00%
466 17 1.84% 0.00%
466 17 3.04% 0.00%
466 17 1.27% 0.00%
466 17 0.84% 0.00%
466 17 2.76% 0.00%
466 17 3.28% 0.00%
466 17 0.88% 0.00%
466 17 0.83% 0.00%
466 17 0.45% 0.00%
466 17 1.95% 0.00%
466 17 1.30% 0.00%
466 17 1.92% 0.00%
466 17 0.78% 0.00%
466 17 1.77% 0.00%
466 17 0.75% 0.00%
467 16 0.84% 0.00%
467 16 2.03% 0.00%
467 16 1.93% 0.00%
467 16 0.90% 0.00%
467 16 1.79% 0.00%
467 16 2.36% 0.00%
467 16 1.07% 0.00%
467 16 0.85% 0.00%
467 16 0.95% 0.00%
467 16 1.80% 0.00%
467 16 2.07% 0.00%
467 16 1.67% 0.00%
467 16 1.10% 0.00%
467 16 0.97% 0.00%
467 16 1.59% 0.00%
467 16 2.19% 0.00%
467 16 1.56% 0.00%
467 16 1.26% 0.00%
467 16 1.67% 0.00%
467 16 1.71% 0.00%
468 15 2.16% 0.00%
468 15 0.69% 0.00%
468 15 1.36% 0.00%
468 15 1.15% 0.00%
468 15 1.13% 0.00%
468 15 1.10% 0.00%
468 15 1.68% 0.00%
468 15 1.88% 0.00%
468 15 1.26% 0.00%
468 15 0.97% 0.00%
468 15 1.09% 0.00%
468 15 1.82% 0.00%
468 15 0.58% 0.00%
468 15 0.96% 0.00%
468 15 1.63% 0.00%
468 15 0.69% 0.00%
468 15 1.00% 0.00%
469 14 1.93% 0.00%
469 14 2.30% 0.00%
469 14 2.14% 0.00%
469 14 0.99% 0.00%
469 14 1.47% 0.00%
469 14 1.52% 0.00%
469 14 1.24% 0.00%
469 14 1.44% 0.00%
469 14 0.95% 0.00%
469 14 0.85% 0.00%
469 14 1.52% 0.00%
469 14 1.03% 0.00%
469 14 0.69% 0.00%
469 14 0.97% 0.00%
469 14 1.70% 0.00%
469 14 2.39% 0.00%
469 14 1.16% 0.00%
469 14 1.02% 0.00%
469 14 2.47% 0.00%
469 14 1.37% 0.00%
470 13 1.40% 0.00%
470 13 1.13% 0.00%
470 13 1.39% 0.00%
470 13 1.46% 0.00%
470 13 1.63% 0.00%
470 13 1.13% 0.00%
470 13 1.77% 0.00%
470 13 2.20% 0.00%
470 13 0.96% 0.00%
470 13 0.52% 0.00%
470 13 0.78% 0.00%
471 12 0.62% 0.00%
471 12 0.64% 0.00%
471 12 1.37% 0.00%
471 12 1.63% 0.00%
471 12 0.65% 0.00%
471 12 1.30% 0.00%
471 12 0.36% 0.00%
471 12 1.41% 0.00%
471 12 1.04% 0.00%
471 12 1.21% 0.00%
471 12 1.49% 0.00%
471 12 1.51% 0.00%
471 12 0.94% 0.00%
471 12 1.83% 0.00%
471 12 1.14% 0.00%
471 12 0.86% 0.00%
471 12 1.56% 0.00%
472 11 0.75% 0.00%
472 11 0.48% 0.00%
472 11 1.19% 0.00%
472 11 1.24% 0.00%
472 11 1.06% 0.00%
472 11 0.45% 0.00%
472 11 1.40% 0.00%
472 11 1.77% 0.00%
472 11 0.99% 0.00%
472 11 0.91% 0.00%
472 11 1.84% 0.00%
472 11 0.49% 0.00%
472 11 1.64% 0.00%
472 11 1.05% 0.00%
472 11 0.92% 0.00%
472 11 1.43% 0.00%
472 11 1.42% 0.00%
472 11 1.66% 0.00%
472 11 1.70% 0.00%
472 11 1.32% 0.00%
472 11 1.82% 0.00%
472 11 1.48% 0.00%
472 11 1.22% 0.00%
472 11 1.51% 0.00%
472 11 1.76% 0.00%
473 10 0.86% 0.00%
473 10 1.01% 0.00%
473 10 0.96% 0.00%
473 10 0.70% 0.00%
473 10 0.62% 0.00%
473 10 0.90% 0.00%
473 10 0.47% 0.00%
473 10 0.75% 0.00%
473 10 0.74% 0.00%
473 10 1.85% 0.00%
473 10 0.15% 0.00%
473 10 0.57% 0.00%
473 10 0.71% 0.00%
473 10 0.75% 0.00%
473 10 1.11% 0.00%
473 10 1.61% 0.00%
473 10 0.77% 0.00%
473 10 0.52% 0.00%
474 9 0.42% 0.00%
474 9 1.62% 0.00%
474 9 0.43% 0.00%
474 9 1.51% 0.00%
474 9 1.86% 0.00%
474 9 0.79% 0.00%
474 9 0.71% 0.00%
474 9 1.96% 0.00%
474 9 0.96% 0.00%
474 9 0.62% 0.00%
474 9 0.67% 0.00%
474 9 1.34% 0.00%
474 9 1.07% 0.00%
474 9 1.71% 0.00%
474 9 1.76% 0.00%
474 9 0.76% 0.00%
474 9 0.47% 0.00%
474 9 0.95% 0.00%
474 9 0.69% 0.00%
475 8 0.80% 0.00%
475 8 0.60% 0.00%
475 8 0.25% 0.00%
475 8 0.35% 0.00%
475 8 1.20% 0.00%
475 8 0.70% 0.00%
475 8 0.83% 0.00%
475 8 1.28% 0.00%
475 8 0.70% 0.00%
475 8 0.83% 0.00%
475 8 0.44% 0.00%
475 8 0.79% 0.00%
475 8 0.78% 0.00%
475 8 0.35% 0.00%
475 8 0.87% 0.00%
475 8 1.12% 0.00%
475 8 1.32% 0.00%
475 8 0.55% 0.00%
475 8 1.25% 0.00%
475 8 1.36% 0.00%
475 8 1.32% 0.00%
476 7 0.31% 0.00%
476 7 0.46% 0.00%
476 7 1.50% 0.00%
476 7 0.60% 0.00%
476 7 0.95% 0.00%
476 7 1.18% 0.00%
476 7 0.24% 0.00%
476 7 1.28% 0.00%
476 7 0.91% 0.00%
476 7 0.79% 0.00%
476 7 1.16% 0.00%
476 7 0.85% 0.00%
476 7 0.18% 0.00%
476 7 0.42% 0.00%
476 7 0.43% 0.00%
476 7 0.74% 0.00%
476 7 0.28% 0.00%
476 7 1.20% 0.00%
476 7 0.56% 0.00%
476 7 0.75% 0.00%
477 6 0.99% 0.00%
477 6 0.61% 0.00%
477 6 0.64% 0.00%
477 6 0.91% 0.00%
477 6 0.18% 0.00%
477 6 0.61% 0.00%
477 6 0.49% 0.00%
477 6 1.15% 0.00%
477 6 0.79% 0.00%
477 6 0.39% 0.00%
477 6 0.64% 0.00%
477 6 0.56% 0.00%
477 6 0.44% 0.00%
477 6 0.87% 0.00%
477 6 0.69% 0.00%
477 6 0.52% 0.00%
477 6 1.04% 0.00%
477 6 1.00% 0.00%
477 6 0.65% 0.00%
478 5 0.53% 0.00%
478 5 0.60% 0.00%
478 5 0.45% 0.00%
478 5 0.29% 0.00%
478 5 0.19% 0.00%
478 5 0.40% 0.00%
478 5 0.34% 0.00%
478 5 0.36% 0.00%
478 5 0.63% 0.00%
478 5 0.21% 0.00%
478 5 1.11% 0.00%
478 5 0.75% 0.00%
478 5 0.71% 0.00%
478 5 0.52% 0.00%
478 5 0.26% 0.00%
478 5 0.49% 0.00%
478 5 1.28% 0.00%
479 4 0.66% 0.00%
479 4 0.32% 0.00%
479 4 0.53% 0.00%
479 4 0.47% 0.00%
479 4 0.38% 0.00%
479 4 0.26% 0.00%
479 4 0.79% 0.00%
479 4 0.53% 0.00%
479 4 0.72% 0.00%
479 4 0.29% 0.00%
479 4 0.46% 0.00%
479 4 0.18% 0.00%
479 4 0.31% 0.00%
479 4 0.58% 0.00%
479 4 0.37% 0.00%
479 4 0.27% 0.00%
479 4 0.83% 0.00%
480 3 0.63% 0.00%
480 3 0.30% 0.00%
480 3 0.19% 0.00%
480 3 0.43% 0.00%
480 3 0.26% 0.00%
480 3 0.38% 0.00%
480 3 0.53% 0.00%
480 3 0.29% 0.00%
480 3 0.14% 0.00%
480 3 0.68% 0.00%
480 3 0.65% 0.00%
480 3 0.28% 0.00%
480 3 0.23% 0.00%
480 3 0.32% 0.00%
480 3 0.69% 0.00%
481 2 0.41% 0.00%
481 2 0.48% 0.00%
481 2 0.25% 0.00%
481 2 0.17% 0.00%
481 2 0.21% 0.00%
481 2 0.25% 0.00%
481 2 0.23% 0.00%
481 2 0.17% 0.00%
481 2 0.16% 0.00%
481 2 0.30% 0.00%
482 1 0.17% 0.00%
482 1 0.16% 0.00%
482 1 0.20% 0.00%
482 1 0.13% 0.00%
482 1 0.17% 0.00%
482 1 0.17% 0.00%
482 1 0.12% 0.00%
482 1 0.11% 0.00%
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
483 0 - -
Need the complete table? Full rankings and the underlying data sets for California and other locations are available for purchase or license.

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 city in Michigan by their Italian population, using the most recent ACS data available.

How the Census defines Italian population

The U.S. Census Bureau allows people to self-identify their ancestry, meaning individuals can write upto ancestries when responding to the survey. In this ranking, we include everyone who identifies as having Italian ancestry, whether alone or in combination with another ancestry.
Here are a few important things to know about how ancestry is reported:
  • Some people identify as Italian alone, while others identify as Italian along with another race (such as Italian and German).
  • We’ve used the “Italian alone or in any combination” category unless noted otherwise, which gives a broader picture of the Italian population in each area.

How We Ranked the Data

This ranking is based on the total number of people who identified as Italian alone or in combination in city. 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 Italian .
  2. % of Total Michigan Italian Population – This tells us how much of the entire U.S. Italian 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 Italian 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.
  • City that don’t have any reported Italian 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 Italian populations are most concentrated while keeping the numbers easy to understand.

Sources

  1. 2019-2023 5-Year Estimates.
  2. 2023.