French Population in Minnesota by City : 2025 Ranking & Insights

The French population in Minnesota totals 154,798, according to recent U.S. Census estimates. Leading cities include Minneapolis (11,470), followed by St. Paul (7,908) and Maple Grove (2,853), each hosting visible segments of the community. While these urban centers anchor much of the population, the statewide total points to a broader presence in unincorporated areas and smaller towns beyond major city boundaries. The analysis below explores how French residents are distributed across Minnesota''s urban and rural landscape.

Top 5 cities with the largest French population in Minnesota

View All
  • 1
    Minneapolis
    French population in Minneapolis is 11,470
    2.69% of Minneapolis population is French
  • 2
    St. Paul
    French population in St. Paul is 7,908
    2.57% of St. Paul population is French
  • 3
    Maple Grove
    French population in Maple Grove is 2,853
    4.04% of Maple Grove population is French
  • 4
    Bloomington
    French population in Bloomington is 2,580
    2.90% of Bloomington population is French
  • 5
    Woodbury
    French population in Woodbury is 2,443
    3.18% of Woodbury population is French

Overview of French population in Minnesota

  • Population Count and Percentage: American Community Survey documents Minnesota with 154,798 French residents (2.7% of 5.7 million total state population), ranking the state at the 75th percentile nationally among U.S. jurisdictions for French demographic representation.
  • Comparison to State and National Averages: U.S. Census data records indicate Minnesota's French population of 2.7% exceeds the national average of 2% by a factor of 1.4.
  • Share of Total National Population: Official American Community Survey records show Minnesota hosts 154,798 French residents, representing 2.3% of the nation's total French population of 6.6 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 shows Minnesota's density of 1.9 French Americans per square mile corresponds to the national average, aligning the state with national demographic distribution patterns.
  • Need additional overviews? Extended research data available for purchase and license. ➔

1,042 Cities in Minnesota Ranked by French Population

View Methodology
American Community Survey data [1] show French population in Minnesota present in Minneapolis, St. Paul, and Maple Grove, 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 Minnesota ranked by French population count
Rank by French Population
City
French Population
% of Total City Population
% of Total Minnesota French Population
5 Year Rank Trend
1 Minneapolis 11,470 2.69% 7.41%
2 St. Paul 7,908 2.57% 5.11%
3 Maple Grove 2,853 4.04% 1.84%
4 Bloomington 2,580 2.90% 1.67%
5 Woodbury 2,443 3.18% 1.58%
6 Plymouth 2,407 3.03% 1.55%
7 Duluth 2,362 2.72% 1.53%
8 2,171 1.78% 1.40%
9 2,069 3.89% 1.34%
10 1,955 2.74% 1.26%
11 1,953 3.68% 1.26%
12 1,826 2.68% 1.18%
13 1,694 2.68% 1.09%
14 1,567 2.47% 1.01%
15 1,458 2.94% 0.94%
16 1,447 2.00% 0.93%
17 1,437 2.24% 0.93%
18 1,419 3.54% 0.92%
19 1,391 2.50% 0.90%
20 1,387 3.10% 0.90%
21 1,211 4.31% 0.78%
22 1,188 1.70% 0.77%
23 1,178 2.62% 0.76%
24 1,154 4.11% 0.75%
25 1,097 6.82% 0.71%
26 1,073 3.81% 0.69%
27 1,060 2.89% 0.68%
28 1,037 2.89% 0.67%
29 1,018 2.26% 0.66%
30 1,011 1.20% 0.65%
31 1,002 4.69% 0.65%
32 960 2.34% 0.62%
33 951 3.56% 0.61%
34 931 3.53% 0.60%
35 905 6.20% 0.58%
36 892 6.16% 0.58%
37 888 3.70% 0.57%
38 874 6.30% 0.56%
39 838 2.34% 0.54%
40 836 4.34% 0.54%
41 814 2.48% 0.53%
42 783 5.84% 0.51%
43 777 2.38% 0.50%
44 763 3.49% 0.49%
45 742 2.85% 0.48%
46 732 3.54% 0.47%
47 731 2.63% 0.47%
48 728 2.75% 0.47%
49 721 3.73% 0.47%
50 700 2.99% 0.45%
51 695 3.87% 0.45%
52 685 3.25% 0.44%
53 640 4.53% 0.41%
54 611 2.77% 0.39%
55 600 4.80% 0.39%
56 589 10.46% 0.38%
57 581 2.22% 0.38%
58 576 2.63% 0.37%
59 567 2.75% 0.37%
60 548 2.31% 0.35%
61 533 4.44% 0.34%
62 529 7.16% 0.34%
63 516 3.15% 0.33%
64 515 1.98% 0.33%
65 514 5.84% 0.33%
66 506 3.05% 0.33%
67 504 2.22% 0.33%
68 500 2.27% 0.32%
69 492 2.01% 0.32%
70 491 2.37% 0.32%
71 480 2.45% 0.31%
72 477 3.73% 0.31%
73 471 2.06% 0.30%
74 455 4.46% 0.29%
75 446 1.36% 0.29%
76 441 3.39% 0.28%
77 437 1.65% 0.28%
78 432 2.96% 0.28%
79 429 3.84% 0.28%
80 428 3.98% 0.28%
81 427 2.00% 0.28%
82 402 1.34% 0.26%
83 392 2.43% 0.25%
84 385 3.06% 0.25%
85 378 2.73% 0.24%
86 363 4.90% 0.23%
87 362 1.94% 0.23%
88 350 3.19% 0.23%
89 344 2.75% 0.22%
90 342 3.24% 0.22%
91 333 2.86% 0.22%
92 332 3.76% 0.21%
93 324 2.45% 0.21%
94 321 2.07% 0.21%
95 317 3.45% 0.20%
96 307 2.14% 0.20%
97 299 3.30% 0.19%
98 297 2.97% 0.19%
99 291 2.60% 0.19%
99 291 7.34% 0.19%
100 290 2.98% 0.19%
101 284 2.02% 0.18%
102 283 3.69% 0.18%
103 277 4.04% 0.18%
104 273 3.39% 0.18%
105 270 1.85% 0.17%
106 267 1.88% 0.17%
107 266 3.30% 0.17%
108 265 1.59% 0.17%
109 262 2.75% 0.17%
110 260 4.54% 0.17%
111 253 2.53% 0.16%
112 244 2.97% 0.16%
113 243 3.46% 0.16%
114 233 3.47% 0.15%
115 232 1.26% 0.15%
116 230 4.47% 0.15%
117 229 1.08% 0.15%
118 228 2.52% 0.15%
119 223 4.23% 0.14%
119 223 4.47% 0.14%
120 222 4.01% 0.14%
120 222 2.44% 0.14%
121 220 3.99% 0.14%
122 219 5.59% 0.14%
123 216 8.45% 0.14%
123 216 4.38% 0.14%
124 209 8.06% 0.14%
124 209 2.50% 0.14%
125 206 5.58% 0.13%
126 205 5.10% 0.13%
127 201 2.36% 0.13%
128 196 3.94% 0.13%
128 196 2.42% 0.13%
129 187 2.23% 0.12%
129 187 7.93% 0.12%
130 186 4.34% 0.12%
131 182 14.36% 0.12%
132 179 4.10% 0.12%
133 174 6.38% 0.11%
134 166 2.36% 0.11%
135 165 1.59% 0.11%
136 164 3.43% 0.11%
137 160 3.53% 0.10%
138 159 11.50% 0.10%
139 158 5.97% 0.10%
140 157 3.05% 0.10%
141 152 3.61% 0.10%
141 152 2.18% 0.10%
142 151 3.01% 0.10%
143 150 4.67% 0.10%
143 150 3.79% 0.10%
144 146 4.23% 0.09%
145 145 8.86% 0.09%
146 142 2.86% 0.09%
147 138 1.68% 0.09%
148 136 3.24% 0.09%
148 136 3.05% 0.09%
149 135 1.63% 0.09%
150 134 2.14% 0.09%
151 133 1.10% 0.09%
152 132 10.32% 0.09%
153 131 4.96% 0.08%
154 130 26.05% 0.08%
154 130 3.39% 0.08%
154 130 4.19% 0.08%
155 128 3.69% 0.08%
156 127 4.19% 0.08%
157 124 1.88% 0.08%
157 124 2.59% 0.08%
157 124 3.34% 0.08%
158 122 1.01% 0.08%
159 120 3.63% 0.08%
159 120 2.20% 0.08%
160 119 3.98% 0.08%
160 119 1.74% 0.08%
161 117 1.97% 0.08%
162 114 4.46% 0.07%
162 114 5.29% 0.07%
162 114 4.98% 0.07%
163 113 1.35% 0.07%
164 112 5.32% 0.07%
165 110 8.47% 0.07%
165 110 1.57% 0.07%
166 109 4.45% 0.07%
167 106 2.52% 0.07%
168 105 5.21% 0.07%
168 105 3.00% 0.07%
168 105 5.56% 0.07%
168 105 4.10% 0.07%
169 104 3.08% 0.07%
170 103 9.43% 0.07%
171 102 2.00% 0.07%
172 101 2.56% 0.07%
172 101 6.81% 0.07%
173 100 6.65% 0.06%
173 100 1.97% 0.06%
173 100 2.43% 0.06%
174 99 4.39% 0.06%
174 99 2.94% 0.06%
174 99 2.27% 0.06%
175 98 2.74% 0.06%
175 98 2.06% 0.06%
176 97 3.29% 0.06%
176 97 1.39% 0.06%
177 95 4.25% 0.06%
178 94 5.59% 0.06%
178 94 1.65% 0.06%
178 94 10.71% 0.06%
178 94 7.85% 0.06%
178 94 5.28% 0.06%
179 93 2.76% 0.06%
180 92 1.41% 0.06%
180 92 6.95% 0.06%
180 92 1.37% 0.06%
180 92 2.63% 0.06%
181 90 3.89% 0.06%
181 90 3.25% 0.06%
182 89 5.00% 0.06%
182 89 4.91% 0.06%
182 89 1.94% 0.06%
182 89 6.96% 0.06%
183 88 3.97% 0.06%
183 88 2.29% 0.06%
184 87 5.45% 0.06%
184 87 4.38% 0.06%
185 86 2.58% 0.06%
185 86 2.17% 0.06%
185 86 4.80% 0.06%
185 86 2.40% 0.06%
186 85 3.17% 0.05%
186 85 2.36% 0.05%
186 85 5.30% 0.05%
187 84 9.28% 0.05%
187 84 4.82% 0.05%
188 83 3.07% 0.05%
188 83 1.69% 0.05%
188 83 2.65% 0.05%
189 82 4.80% 0.05%
189 82 4.32% 0.05%
190 81 3.06% 0.05%
190 81 1.53% 0.05%
190 81 7.39% 0.05%
191 80 4.22% 0.05%
192 79 4.65% 0.05%
192 79 3.44% 0.05%
193 78 4.11% 0.05%
193 78 3.53% 0.05%
194 77 4.43% 0.05%
194 77 3.71% 0.05%
194 77 2.72% 0.05%
195 76 0.94% 0.05%
195 76 3.54% 0.05%
195 76 2.62% 0.05%
196 75 2.30% 0.05%
196 75 3.34% 0.05%
197 74 3.10% 0.05%
198 73 1.50% 0.05%
198 73 6.54% 0.05%
199 72 5.29% 0.05%
199 72 2.35% 0.05%
199 72 6.14% 0.05%
199 72 3.45% 0.05%
199 72 2.75% 0.05%
199 72 2.03% 0.05%
200 71 3.87% 0.05%
200 71 3.77% 0.05%
200 71 4.47% 0.05%
200 71 2.82% 0.05%
201 70 2.50% 0.05%
201 70 3.63% 0.05%
201 70 1.55% 0.05%
202 69 3.64% 0.04%
202 69 2.73% 0.04%
202 69 3.97% 0.04%
202 69 2.07% 0.04%
202 69 2.33% 0.04%
203 68 3.45% 0.04%
203 68 2.28% 0.04%
204 67 3.60% 0.04%
204 67 4.44% 0.04%
204 67 3.41% 0.04%
204 67 5.61% 0.04%
204 67 2.84% 0.04%
204 67 0.49% 0.04%
205 66 5.39% 0.04%
205 66 3.54% 0.04%
205 66 1.84% 0.04%
206 65 3.24% 0.04%
206 65 3.67% 0.04%
206 65 1.68% 0.04%
206 65 8.67% 0.04%
207 64 2.56% 0.04%
208 63 4.44% 0.04%
208 63 1.75% 0.04%
208 63 3.18% 0.04%
208 63 2.66% 0.04%
208 63 3.05% 0.04%
209 62 2.19% 0.04%
209 62 1.52% 0.04%
209 62 5.13% 0.04%
210 61 2.85% 0.04%
210 61 3.91% 0.04%
210 61 8.57% 0.04%
210 61 1.18% 0.04%
210 61 6.26% 0.04%
211 60 6.67% 0.04%
211 60 4.39% 0.04%
211 60 1.75% 0.04%
211 60 13.07% 0.04%
212 59 4.13% 0.04%
212 59 6.97% 0.04%
212 59 2.69% 0.04%
213 58 4.76% 0.04%
213 58 1.23% 0.04%
213 58 5.32% 0.04%
213 58 2.00% 0.04%
213 58 5.54% 0.04%
213 58 3.26% 0.04%
213 58 5.64% 0.04%
213 58 5.06% 0.04%
213 58 2.50% 0.04%
214 57 6.63% 0.04%
214 57 6.57% 0.04%
214 57 2.82% 0.04%
215 56 2.54% 0.04%
215 56 2.52% 0.04%
215 56 0.87% 0.04%
216 55 1.18% 0.04%
216 55 10.64% 0.04%
216 55 2.79% 0.04%
217 54 3.78% 0.03%
217 54 2.11% 0.03%
217 54 1.30% 0.03%
217 54 8.70% 0.03%
218 53 6.01% 0.03%
218 53 3.22% 0.03%
218 53 3.96% 0.03%
219 52 1.96% 0.03%
219 52 6.27% 0.03%
219 52 4.70% 0.03%
219 52 4.73% 0.03%
219 52 7.47% 0.03%
220 51 6.43% 0.03%
220 51 1.21% 0.03%
220 51 2.33% 0.03%
220 51 3.71% 0.03%
221 50 7.99% 0.03%
221 50 10.08% 0.03%
221 50 10.29% 0.03%
221 50 4.81% 0.03%
221 50 2.51% 0.03%
222 49 2.21% 0.03%
222 49 3.80% 0.03%
223 48 1.14% 0.03%
223 48 5.72% 0.03%
223 48 1.94% 0.03%
223 48 4.17% 0.03%
223 48 2.17% 0.03%
224 47 2.63% 0.03%
224 47 2.32% 0.03%
224 47 5.01% 0.03%
224 47 5.47% 0.03%
224 47 4.16% 0.03%
224 47 5.32% 0.03%
225 46 7.81% 0.03%
225 46 2.69% 0.03%
225 46 2.20% 0.03%
226 45 2.04% 0.03%
226 45 3.54% 0.03%
226 45 3.57% 0.03%
226 45 5.22% 0.03%
226 45 1.57% 0.03%
226 45 3.08% 0.03%
227 44 4.64% 0.03%
227 44 4.19% 0.03%
227 44 3.30% 0.03%
227 44 2.46% 0.03%
227 44 1.71% 0.03%
228 43 1.28% 0.03%
228 43 1.52% 0.03%
228 43 2.54% 0.03%
228 43 1.81% 0.03%
228 43 2.41% 0.03%
228 43 1.30% 0.03%
228 43 1.90% 0.03%
228 43 3.63% 0.03%
228 43 5.63% 0.03%
229 42 2.50% 0.03%
229 42 1.90% 0.03%
229 42 2.83% 0.03%
229 42 2.27% 0.03%
229 42 3.57% 0.03%
229 42 2.25% 0.03%
230 41 2.45% 0.03%
230 41 3.61% 0.03%
230 41 3.41% 0.03%
230 41 0.84% 0.03%
230 41 1.24% 0.03%
230 41 4.92% 0.03%
230 41 2.72% 0.03%
230 41 6.23% 0.03%
230 41 2.31% 0.03%
230 41 2.20% 0.03%
231 40 2.10% 0.03%
231 40 2.12% 0.03%
231 40 2.42% 0.03%
231 40 5.57% 0.03%
231 40 8.60% 0.03%
231 40 1.23% 0.03%
231 40 8.58% 0.03%
232 39 4.47% 0.03%
232 39 4.62% 0.03%
232 39 3.63% 0.03%
232 39 0.95% 0.03%
232 39 7.89% 0.03%
232 39 2.41% 0.03%
232 39 2.10% 0.03%
232 39 3.37% 0.03%
232 39 4.21% 0.03%
232 39 4.11% 0.03%
233 38 6.27% 0.02%
233 38 8.90% 0.02%
233 38 1.17% 0.02%
233 38 4.93% 0.02%
233 38 1.15% 0.02%
233 38 4.57% 0.02%
234 37 5.09% 0.02%
234 37 1.34% 0.02%
234 37 2.32% 0.02%
234 37 6.20% 0.02%
234 37 2.78% 0.02%
234 37 3.23% 0.02%
234 37 3.55% 0.02%
234 37 1.49% 0.02%
234 37 1.98% 0.02%
234 37 3.75% 0.02%
235 36 2.27% 0.02%
235 36 1.93% 0.02%
235 36 2.44% 0.02%
235 36 1.88% 0.02%
235 36 2.57% 0.02%
235 36 1.94% 0.02%
236 35 3.31% 0.02%
236 35 2.52% 0.02%
236 35 1.40% 0.02%
236 35 5.24% 0.02%
236 35 1.13% 0.02%
236 35 2.60% 0.02%
236 35 5.01% 0.02%
236 35 3.75% 0.02%
236 35 3.95% 0.02%
236 35 1.98% 0.02%
236 35 1.75% 0.02%
236 35 2.57% 0.02%
237 34 1.07% 0.02%
237 34 2.18% 0.02%
237 34 3.93% 0.02%
237 34 3.60% 0.02%
237 34 2.47% 0.02%
237 34 6.84% 0.02%
237 34 4.01% 0.02%
237 34 2.06% 0.02%
237 34 7.38% 0.02%
237 34 3.78% 0.02%
237 34 1.31% 0.02%
237 34 6.37% 0.02%
238 33 4.30% 0.02%
238 33 2.05% 0.02%
238 33 3.13% 0.02%
238 33 2.57% 0.02%
238 33 2.15% 0.02%
238 33 3.27% 0.02%
238 33 5.24% 0.02%
238 33 5.60% 0.02%
238 33 4.93% 0.02%
238 33 3.51% 0.02%
238 33 2.47% 0.02%
238 33 6.59% 0.02%
238 33 2.60% 0.02%
239 32 3.00% 0.02%
239 32 2.11% 0.02%
239 32 2.10% 0.02%
239 32 4.53% 0.02%
239 32 4.28% 0.02%
239 32 5.42% 0.02%
239 32 5.40% 0.02%
239 32 3.00% 0.02%
239 32 5.42% 0.02%
239 32 3.45% 0.02%
239 32 5.92% 0.02%
239 32 3.93% 0.02%
239 32 6.99% 0.02%
239 32 2.88% 0.02%
240 31 0.90% 0.02%
240 31 4.97% 0.02%
240 31 2.07% 0.02%
240 31 1.93% 0.02%
240 31 2.42% 0.02%
240 31 2.81% 0.02%
240 31 7.23% 0.02%
240 31 3.00% 0.02%
240 31 1.20% 0.02%
240 31 2.94% 0.02%
240 31 2.65% 0.02%
240 31 0.65% 0.02%
241 30 1.03% 0.02%
241 30 3.81% 0.02%
241 30 3.77% 0.02%
241 30 4.17% 0.02%
241 30 5.09% 0.02%
241 30 4.78% 0.02%
241 30 3.99% 0.02%
241 30 1.72% 0.02%
241 30 3.06% 0.02%
241 30 1.52% 0.02%
241 30 3.23% 0.02%
241 30 2.76% 0.02%
241 30 2.02% 0.02%
241 30 3.52% 0.02%
241 30 2.25% 0.02%
241 30 1.68% 0.02%
242 29 2.91% 0.02%
242 29 4.20% 0.02%
242 29 2.24% 0.02%
242 29 2.43% 0.02%
242 29 2.99% 0.02%
242 29 1.41% 0.02%
242 29 1.41% 0.02%
242 29 3.60% 0.02%
242 29 2.46% 0.02%
242 29 3.39% 0.02%
242 29 3.69% 0.02%
242 29 1.49% 0.02%
243 28 1.22% 0.02%
243 28 1.88% 0.02%
243 28 2.92% 0.02%
243 28 3.14% 0.02%
243 28 2.28% 0.02%
243 28 0.76% 0.02%
243 28 3.40% 0.02%
243 28 4.12% 0.02%
243 28 3.68% 0.02%
244 27 5.96% 0.02%
244 27 5.64% 0.02%
244 27 2.98% 0.02%
244 27 3.45% 0.02%
244 27 2.71% 0.02%
244 27 1.76% 0.02%
244 27 3.09% 0.02%
244 27 2.48% 0.02%
244 27 0.40% 0.02%
244 27 3.25% 0.02%
245 26 4.87% 0.02%
245 26 2.87% 0.02%
245 26 3.32% 0.02%
245 26 3.19% 0.02%
245 26 1.25% 0.02%
245 26 4.76% 0.02%
245 26 1.97% 0.02%
245 26 3.51% 0.02%
245 26 1.50% 0.02%
245 26 0.71% 0.02%
245 26 1.56% 0.02%
245 26 1.34% 0.02%
245 26 4.02% 0.02%
245 26 4.44% 0.02%
245 26 3.01% 0.02%
245 26 2.75% 0.02%
245 26 2.27% 0.02%
246 25 2.48% 0.02%
246 25 4.02% 0.02%
246 25 2.32% 0.02%
246 25 4.54% 0.02%
246 25 1.94% 0.02%
246 25 5.41% 0.02%
246 25 3.16% 0.02%
246 25 2.81% 0.02%
246 25 3.03% 0.02%
246 25 1.66% 0.02%
246 25 1.94% 0.02%
246 25 1.90% 0.02%
246 25 3.53% 0.02%
246 25 2.85% 0.02%
246 25 2.61% 0.02%
246 25 0.68% 0.02%
246 25 2.84% 0.02%
246 25 2.55% 0.02%
246 25 1.99% 0.02%
246 25 2.91% 0.02%
246 25 7.46% 0.02%
247 24 1.96% 0.02%
247 24 2.60% 0.02%
247 24 3.73% 0.02%
247 24 3.73% 0.02%
247 24 4.61% 0.02%
247 24 2.16% 0.02%
247 24 1.80% 0.02%
247 24 3.43% 0.02%
247 24 4.16% 0.02%
247 24 3.63% 0.02%
247 24 2.41% 0.02%
247 24 2.28% 0.02%
247 24 4.74% 0.02%
247 24 2.39% 0.02%
247 24 1.80% 0.02%
247 24 2.51% 0.02%
248 23 2.03% 0.01%
248 23 1.40% 0.01%
248 23 2.09% 0.01%
248 23 2.51% 0.01%
248 23 3.75% 0.01%
248 23 2.44% 0.01%
248 23 2.03% 0.01%
248 23 2.14% 0.01%
248 23 1.46% 0.01%
249 22 3.34% 0.01%
249 22 2.67% 0.01%
249 22 2.43% 0.01%
249 22 3.34% 0.01%
249 22 2.89% 0.01%
249 22 2.20% 0.01%
249 22 2.51% 0.01%
249 22 2.45% 0.01%
249 22 0.92% 0.01%
249 22 1.48% 0.01%
249 22 2.32% 0.01%
249 22 2.85% 0.01%
249 22 2.17% 0.01%
249 22 2.27% 0.01%
249 22 2.46% 0.01%
249 22 0.63% 0.01%
249 22 4.80% 0.01%
249 22 2.76% 0.01%
250 21 1.88% 0.01%
250 21 3.66% 0.01%
250 21 1.46% 0.01%
250 21 0.73% 0.01%
250 21 0.77% 0.01%
250 21 2.73% 0.01%
250 21 2.27% 0.01%
250 21 3.83% 0.01%
250 21 2.87% 0.01%
250 21 1.79% 0.01%
250 21 2.13% 0.01%
250 21 3.33% 0.01%
250 21 2.25% 0.01%
250 21 0.55% 0.01%
250 21 2.88% 0.01%
251 20 2.03% 0.01%
251 20 2.52% 0.01%
251 20 1.84% 0.01%
251 20 3.94% 0.01%
251 20 1.73% 0.01%
251 20 1.31% 0.01%
251 20 1.99% 0.01%
251 20 2.02% 0.01%
251 20 3.31% 0.01%
251 20 3.95% 0.01%
252 19 2.01% 0.01%
252 19 2.39% 0.01%
252 19 2.59% 0.01%
252 19 2.77% 0.01%
252 19 1.72% 0.01%
252 19 1.13% 0.01%
252 19 1.41% 0.01%
252 19 2.46% 0.01%
252 19 2.06% 0.01%
252 19 4.03% 0.01%
252 19 3.51% 0.01%
252 19 2.47% 0.01%
252 19 2.24% 0.01%
253 18 1.61% 0.01%
253 18 1.78% 0.01%
253 18 2.13% 0.01%
253 18 3.36% 0.01%
253 18 3.12% 0.01%
253 18 1.09% 0.01%
253 18 1.89% 0.01%
253 18 1.29% 0.01%
253 18 2.80% 0.01%
253 18 2.90% 0.01%
253 18 2.30% 0.01%
253 18 3.44% 0.01%
253 18 3.37% 0.01%
253 18 0.61% 0.01%
253 18 1.08% 0.01%
253 18 2.89% 0.01%
253 18 3.73% 0.01%
253 18 1.14% 0.01%
253 18 3.44% 0.01%
254 17 1.64% 0.01%
254 17 3.09% 0.01%
254 17 1.47% 0.01%
254 17 3.41% 0.01%
254 17 3.13% 0.01%
254 17 2.45% 0.01%
254 17 1.33% 0.01%
254 17 1.86% 0.01%
254 17 1.84% 0.01%
254 17 2.97% 0.01%
254 17 1.02% 0.01%
254 17 1.92% 0.01%
254 17 3.10% 0.01%
254 17 1.56% 0.01%
254 17 1.43% 0.01%
254 17 1.29% 0.01%
255 16 3.09% 0.01%
255 16 1.18% 0.01%
255 16 2.94% 0.01%
255 16 1.87% 0.01%
255 16 1.55% 0.01%
255 16 2.16% 0.01%
255 16 2.43% 0.01%
255 16 1.60% 0.01%
255 16 1.32% 0.01%
255 16 1.43% 0.01%
255 16 2.44% 0.01%
255 16 2.71% 0.01%
255 16 1.22% 0.01%
255 16 0.34% 0.01%
255 16 0.70% 0.01%
255 16 1.35% 0.01%
255 16 1.72% 0.01%
256 15 2.71% 0.01%
256 15 2.90% 0.01%
256 15 2.21% 0.01%
256 15 0.98% 0.01%
256 15 1.16% 0.01%
256 15 1.74% 0.01%
256 15 2.42% 0.01%
256 15 0.94% 0.01%
256 15 1.03% 0.01%
256 15 2.76% 0.01%
256 15 1.39% 0.01%
256 15 2.60% 0.01%
256 15 1.85% 0.01%
256 15 1.43% 0.01%
256 15 1.49% 0.01%
256 15 0.82% 0.01%
256 15 3.46% 0.01%
256 15 2.71% 0.01%
256 15 1.23% 0.01%
256 15 1.15% 0.01%
256 15 2.14% 0.01%
256 15 2.37% 0.01%
256 15 1.60% 0.01%
257 14 1.08% 0.01%
257 14 1.96% 0.01%
257 14 2.11% 0.01%
257 14 1.94% 0.01%
257 14 1.73% 0.01%
257 14 2.08% 0.01%
257 14 1.66% 0.01%
257 14 1.69% 0.01%
257 14 2.87% 0.01%
257 14 2.01% 0.01%
257 14 2.44% 0.01%
257 14 1.68% 0.01%
257 14 2.01% 0.01%
257 14 1.14% 0.01%
257 14 2.70% 0.01%
258 13 2.52% 0.01%
258 13 2.60% 0.01%
258 13 2.04% 0.01%
258 13 1.13% 0.01%
258 13 2.25% 0.01%
258 13 2.86% 0.01%
258 13 2.09% 0.01%
258 13 2.80% 0.01%
258 13 1.33% 0.01%
258 13 1.75% 0.01%
258 13 1.62% 0.01%
258 13 1.16% 0.01%
258 13 1.94% 0.01%
258 13 0.86% 0.01%
258 13 1.95% 0.01%
258 13 2.39% 0.01%
258 13 1.69% 0.01%
258 13 0.99% 0.01%
258 13 1.82% 0.01%
258 13 2.19% 0.01%
258 13 1.88% 0.01%
259 12 1.52% 0.01%
259 12 1.07% 0.01%
259 12 1.59% 0.01%
259 12 1.24% 0.01%
259 12 1.81% 0.01%
259 12 1.45% 0.01%
259 12 2.51% 0.01%
259 12 2.27% 0.01%
259 12 0.57% 0.01%
259 12 2.05% 0.01%
259 12 1.44% 0.01%
259 12 2.03% 0.01%
259 12 1.06% 0.01%
259 12 1.77% 0.01%
259 12 2.15% 0.01%
259 12 2.24% 0.01%
259 12 1.04% 0.01%
259 12 1.72% 0.01%
259 12 2.33% 0.01%
259 12 2.31% 0.01%
259 12 1.74% 0.01%
259 12 2.33% 0.01%
259 12 2.43% 0.01%
259 12 2.40% 0.01%
259 12 2.72% 0.01%
259 12 1.83% 0.01%
259 12 2.21% 0.01%
259 12 1.05% 0.01%
259 12 2.04% 0.01%
260 11 1.28% 0.01%
260 11 2.06% 0.01%
260 11 2.25% 0.01%
260 11 0.56% 0.01%
260 11 1.64% 0.01%
260 11 1.79% 0.01%
260 11 1.61% 0.01%
260 11 1.24% 0.01%
260 11 1.69% 0.01%
260 11 2.02% 0.01%
260 11 1.79% 0.01%
260 11 2.41% 0.01%
260 11 0.80% 0.01%
260 11 1.59% 0.01%
260 11 2.16% 0.01%
260 11 1.83% 0.01%
260 11 1.85% 0.01%
260 11 2.24% 0.01%
260 11 2.25% 0.01%
260 11 2.12% 0.01%
260 11 1.46% 0.01%
260 11 1.68% 0.01%
260 11 1.36% 0.01%
260 11 1.52% 0.01%
261 10 0.49% 0.01%
261 10 2.04% 0.01%
261 10 0.37% 0.01%
261 10 1.30% 0.01%
261 10 0.66% 0.01%
261 10 1.21% 0.01%
261 10 0.38% 0.01%
261 10 1.22% 0.01%
261 10 1.86% 0.01%
261 10 1.02% 0.01%
261 10 1.63% 0.01%
261 10 0.40% 0.01%
261 10 1.25% 0.01%
261 10 2.04% 0.01%
261 10 0.97% 0.01%
261 10 0.96% 0.01%
261 10 1.12% 0.01%
261 10 1.18% 0.01%
261 10 1.37% 0.01%
261 10 1.61% 0.01%
261 10 0.39% 0.01%
261 10 0.89% 0.01%
262 9 1.12% 0.01%
262 9 1.27% 0.01%
262 9 1.29% 0.01%
262 9 1.13% 0.01%
262 9 0.80% 0.01%
262 9 2.04% 0.01%
262 9 1.27% 0.01%
262 9 1.51% 0.01%
262 9 1.27% 0.01%
262 9 1.21% 0.01%
262 9 1.09% 0.01%
262 9 1.45% 0.01%
262 9 1.24% 0.01%
262 9 1.54% 0.01%
262 9 0.93% 0.01%
262 9 1.61% 0.01%
262 9 1.25% 0.01%
262 9 1.21% 0.01%
262 9 1.62% 0.01%
262 9 1.44% 0.01%
262 9 1.09% 0.01%
262 9 0.50% 0.01%
262 9 1.71% 0.01%
262 9 1.12% 0.01%
262 9 1.94% 0.01%
262 9 0.74% 0.01%
262 9 0.84% 0.01%
262 9 1.25% 0.01%
262 9 0.26% 0.01%
263 8 0.66% 0.01%
263 8 1.01% 0.01%
263 8 0.98% 0.01%
263 8 0.88% 0.01%
263 8 0.76% 0.01%
263 8 0.91% 0.01%
263 8 1.06% 0.01%
263 8 1.29% 0.01%
263 8 1.38% 0.01%
263 8 0.42% 0.01%
263 8 1.95% 0.01%
263 8 1.01% 0.01%
263 8 1.39% 0.01%
263 8 1.19% 0.01%
263 8 0.79% 0.01%
263 8 1.67% 0.01%
263 8 1.34% 0.01%
263 8 1.26% 0.01%
264 7 0.92% 0.00%
264 7 0.94% 0.00%
264 7 0.98% 0.00%
264 7 1.11% 0.00%
264 7 1.26% 0.00%
264 7 1.65% 0.00%
264 7 1.54% 0.00%
264 7 0.73% 0.00%
264 7 0.96% 0.00%
264 7 1.22% 0.00%
264 7 1.24% 0.00%
264 7 0.87% 0.00%
264 7 0.81% 0.00%
264 7 0.92% 0.00%
264 7 1.11% 0.00%
264 7 0.83% 0.00%
264 7 0.96% 0.00%
264 7 1.08% 0.00%
264 7 0.30% 0.00%
264 7 1.26% 0.00%
265 6 0.47% 0.00%
265 6 1.44% 0.00%
265 6 1.10% 0.00%
265 6 0.97% 0.00%
265 6 0.67% 0.00%
265 6 0.52% 0.00%
265 6 0.73% 0.00%
265 6 0.53% 0.00%
265 6 1.04% 0.00%
265 6 0.29% 0.00%
265 6 0.89% 0.00%
265 6 1.03% 0.00%
265 6 0.88% 0.00%
265 6 0.98% 0.00%
265 6 0.91% 0.00%
265 6 0.47% 0.00%
265 6 0.88% 0.00%
265 6 1.12% 0.00%
265 6 0.86% 0.00%
265 6 1.21% 0.00%
265 6 1.14% 0.00%
265 6 0.61% 0.00%
265 6 1.07% 0.00%
265 6 1.08% 0.00%
266 5 1.33% 0.00%
266 5 0.59% 0.00%
266 5 0.64% 0.00%
266 5 0.93% 0.00%
266 5 0.56% 0.00%
266 5 0.49% 0.00%
266 5 0.98% 0.00%
266 5 0.74% 0.00%
266 5 0.49% 0.00%
266 5 0.36% 0.00%
266 5 0.66% 0.00%
267 4 0.44% 0.00%
267 4 0.74% 0.00%
267 4 0.43% 0.00%
267 4 0.48% 0.00%
267 4 0.41% 0.00%
267 4 0.75% 0.00%
267 4 0.45% 0.00%
267 4 0.71% 0.00%
267 4 0.67% 0.00%
267 4 0.78% 0.00%
267 4 0.74% 0.00%
267 4 0.60% 0.00%
267 4 0.78% 0.00%
267 4 0.04% 0.00%
267 4 0.31% 0.00%
268 3 0.52% 0.00%
268 3 0.38% 0.00%
268 3 0.36% 0.00%
268 3 0.50% 0.00%
268 3 0.34% 0.00%
268 3 0.48% 0.00%
268 3 0.42% 0.00%
268 3 0.62% 0.00%
268 3 0.41% 0.00%
268 3 0.57% 0.00%
268 3 0.71% 0.00%
268 3 0.37% 0.00%
268 3 0.48% 0.00%
268 3 0.35% 0.00%
268 3 0.68% 0.00%
268 3 0.29% 0.00%
268 3 0.35% 0.00%
268 3 0.59% 0.00%
268 3 0.64% 0.00%
268 3 0.57% 0.00%
268 3 0.32% 0.00%
268 3 0.52% 0.00%
268 3 0.42% 0.00%
268 3 0.31% 0.00%
268 3 0.44% 0.00%
268 3 0.65% 0.00%
268 3 0.36% 0.00%
269 2 0.29% 0.00%
269 2 0.33% 0.00%
269 2 0.41% 0.00%
269 2 0.38% 0.00%
269 2 0.22% 0.00%
269 2 0.44% 0.00%
269 2 0.47% 0.00%
269 2 0.34% 0.00%
269 2 0.34% 0.00%
269 2 0.29% 0.00%
269 2 0.32% 0.00%
269 2 0.38% 0.00%
269 2 0.29% 0.00%
269 2 0.16% 0.00%
270 1 0.15% 0.00%
270 1 0.16% 0.00%
270 1 0.23% 0.00%
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 0 - -
271 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 Minnesota by their French population, using the most recent ACS data available.

How the Census defines French 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 French 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 French alone, while others identify as French along with another race (such as French and German).
  • We’ve used the “French alone or in any combination” category unless noted otherwise, which gives a broader picture of the French population in each area.

How We Ranked the Data

This ranking is based on the total number of people who identified as French 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 French .
  2. % of Total Minnesota French Population – This tells us how much of the entire U.S. French 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 French 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 French 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 French populations are most concentrated while keeping the numbers easy to understand.

Sources

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