French Canadian Population in New York by City : 2025 Ranking & Insights

The French Canadian population in New York is reported as 102,671, with the largest concentrations in cities like New York (10,292), Brooklyn borough (3,842), and Manhattan borough (3,531). 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 French Canadian communities take shape across New York and how these patterns compare with other states across the nation.

Top 5 cities with the largest French Canadian population in New York

View All
  • 1
    New York
    French Canadian population in New York is 10,292
    0.12% of New York population is French Canadian
  • 2
    Brooklyn borough
    French Canadian population in Brooklyn borough is 3,842
    0.15% of Brooklyn borough population is French Canadian
  • 3
    Manhattan borough
    French Canadian population in Manhattan borough is 3,531
    0.22% of Manhattan borough population is French Canadian
  • 4
    Colonie town
    French Canadian population in Colonie town is 1,711
    2.00% of Colonie town population is French Canadian
  • 5
    Queens borough
    French Canadian population in Queens borough is 1,562
    0.07% of Queens borough population is French Canadian

Overview of French Canadian population in New York

  • Population Count and Percentage: American Community Survey data indicate New York contains 102,671 French Canadian residents (0.52% of 19.9 million total state population), positioning the state at the 93rd percentile nationally among U.S. states for French Canadian population concentrations.
  • Comparison to State and National Averages: U.S. Census data documents New York's French Canadian population of 0.52% corresponding to the national average, placing the state as demographically representative of typical U.S. distribution patterns.
  • Share of Total National Population: Official American Community Survey records show New York hosts 102,671 French Canadian residents, representing 6% of the nation's total French Canadian population of 1.7 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 indicates New York's density of 2.2 French-Canadian Americans per square mile exceeds the national average of 0.48 per square mile by four and a half times, establishing the state as a significant concentration center for French Canadian demographic communities.
  • Need additional overviews? Extended research data available for purchase and license. ➔

1,430 Cities in New York Ranked by French Canadian Population

View Methodology
American Community Survey data [1] show French Canadian population in New York present in New York, Brooklyn borough, and Manhattan borough, 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 New York ranked by French Canadian population count
Rank by French Canadian Population
City
French Canadian Population
% of Total City Population
% of Total New York French Canadian Population
5 Year Rank Trend
1 New York 10,292 0.12% 10.02%
2 Brooklyn borough 3,842 0.15% 3.74%
3 Manhattan borough 3,531 0.22% 3.44%
4 Colonie town 1,711 2.00% 1.67%
5 Queens borough 1,562 0.07% 1.52%
6 Syracuse 1,514 1.04% 1.47%
7 Brookhaven town 1,320 0.27% 1.29%
8 1,252 0.16% 1.22%
9 1,017 5.12% 0.99%
10 948 6.36% 0.92%
11 944 0.99% 0.92%
12 930 0.93% 0.91%
13 919 7.11% 0.90%
14 884 0.42% 0.86%
15 849 4.71% 0.83%
16 795 0.16% 0.77%
17 791 6.40% 0.77%
18 790 6.67% 0.77%
19 780 2.68% 0.76%
20 775 0.23% 0.75%
21 746 10.08% 0.73%
22 734 7.17% 0.71%
23 730 14.23% 0.71%
24 722 1.00% 0.70%
25 711 1.18% 0.69%
26 707 1.03% 0.69%
27 701 0.25% 0.68%
28 695 0.53% 0.68%
29 678 12.38% 0.66%
30 665 1.30% 0.65%
31 648 5.53% 0.63%
32 645 2.62% 0.63%
33 642 1.83% 0.63%
34 622 1.89% 0.61%
35 618 3.01% 0.60%
36 615 2.37% 0.60%
37 607 1.94% 0.59%
38 606 7.12% 0.59%
39 597 1.18% 0.58%
40 582 16.92% 0.57%
41 574 4.94% 0.56%
41 574 11.85% 0.56%
42 571 9.99% 0.56%
43 566 6.90% 0.55%
44 562 0.04% 0.55%
45 549 4.80% 0.53%
45 549 4.50% 0.53%
46 547 13.46% 0.53%
47 534 1.41% 0.52%
48 529 3.11% 0.52%
49 524 1.42% 0.51%
50 517 1.10% 0.50%
51 502 1.71% 0.49%
52 497 0.17% 0.48%
53 489 15.92% 0.48%
54 481 5.01% 0.47%
55 479 0.74% 0.47%
56 436 10.70% 0.42%
57 433 2.49% 0.42%
58 426 0.48% 0.41%
59 425 0.90% 0.41%
60 421 1.38% 0.41%
61 418 2.21% 0.41%
62 408 1.77% 0.40%
63 398 13.15% 0.39%
63 398 7.28% 0.39%
64 388 5.76% 0.38%
65 387 5.36% 0.38%
66 382 10.19% 0.37%
67 380 0.33% 0.37%
68 376 2.64% 0.37%
69 375 1.18% 0.37%
70 371 8.76% 0.36%
71 364 1.25% 0.35%
72 363 0.80% 0.35%
73 362 5.53% 0.35%
74 361 2.46% 0.35%
74 361 4.39% 0.35%
75 359 0.60% 0.35%
75 359 0.92% 0.35%
76 349 1.59% 0.34%
77 348 2.36% 0.34%
78 345 5.71% 0.34%
79 337 7.61% 0.33%
80 336 1.18% 0.33%
81 332 1.31% 0.32%
82 331 1.96% 0.32%
83 327 2.69% 0.32%
84 324 0.97% 0.32%
85 316 1.90% 0.31%
85 316 3.01% 0.31%
86 309 0.69% 0.30%
87 308 1.06% 0.30%
88 304 3.29% 0.30%
89 295 1.26% 0.29%
90 293 0.14% 0.29%
91 289 1.12% 0.28%
92 287 1.74% 0.28%
92 287 5.49% 0.28%
92 287 3.61% 0.28%
92 287 1.55% 0.28%
93 279 0.19% 0.27%
94 275 1.59% 0.27%
95 269 0.89% 0.26%
96 268 4.88% 0.26%
97 266 0.94% 0.26%
98 263 3.40% 0.26%
98 263 9.06% 0.26%
99 261 2.08% 0.25%
100 254 1.23% 0.25%
101 251 0.52% 0.24%
102 250 9.92% 0.24%
103 247 1.80% 0.24%
104 243 4.16% 0.24%
104 243 1.13% 0.24%
104 243 4.99% 0.24%
105 242 1.07% 0.24%
105 242 0.44% 0.24%
106 241 6.27% 0.23%
106 241 0.53% 0.23%
106 241 7.38% 0.23%
107 238 0.11% 0.23%
107 238 3.98% 0.23%
107 238 1.95% 0.23%
108 237 2.30% 0.23%
109 235 6.85% 0.23%
110 230 9.82% 0.22%
110 230 1.53% 0.22%
111 228 4.04% 0.22%
112 227 8.72% 0.22%
113 223 4.72% 0.22%
114 222 0.70% 0.22%
115 219 4.62% 0.21%
116 218 4.29% 0.21%
117 216 1.54% 0.21%
118 214 0.10% 0.21%
119 213 7.62% 0.21%
120 210 0.82% 0.20%
121 207 4.06% 0.20%
122 205 0.49% 0.20%
123 203 0.68% 0.20%
124 202 2.18% 0.20%
125 200 0.25% 0.19%
125 200 2.55% 0.19%
126 198 2.01% 0.19%
127 191 3.86% 0.19%
128 190 5.99% 0.19%
128 190 0.39% 0.19%
129 189 13.15% 0.18%
130 188 2.81% 0.18%
131 187 2.00% 0.18%
132 186 1.30% 0.18%
133 185 3.87% 0.18%
133 185 4.09% 0.18%
134 183 0.50% 0.18%
134 183 0.41% 0.18%
135 182 2.81% 0.18%
136 180 1.25% 0.18%
136 180 3.80% 0.18%
137 179 6.82% 0.17%
138 178 1.57% 0.17%
139 177 1.52% 0.17%
140 175 2.10% 0.17%
141 172 6.81% 0.17%
142 170 0.53% 0.17%
143 169 0.93% 0.16%
143 169 2.90% 0.16%
144 168 2.32% 0.16%
144 168 4.64% 0.16%
145 166 1.25% 0.16%
146 165 0.18% 0.16%
146 165 2.16% 0.16%
147 162 0.86% 0.16%
148 161 0.61% 0.16%
148 161 0.35% 0.16%
149 158 0.53% 0.15%
149 158 1.19% 0.15%
150 157 1.60% 0.15%
151 156 3.21% 0.15%
151 156 0.23% 0.15%
152 153 7.81% 0.15%
152 153 2.09% 0.15%
153 152 2.89% 0.15%
154 150 1.16% 0.15%
154 150 0.83% 0.15%
155 149 0.49% 0.15%
156 148 0.06% 0.14%
156 148 8.08% 0.14%
157 147 0.61% 0.14%
158 146 3.26% 0.14%
159 145 1.67% 0.14%
160 142 1.02% 0.14%
161 141 1.92% 0.14%
162 140 0.92% 0.14%
162 140 1.89% 0.14%
162 140 0.46% 0.14%
163 139 3.78% 0.14%
164 138 2.61% 0.13%
164 138 0.87% 0.13%
165 137 7.19% 0.13%
166 136 8.06% 0.13%
167 134 3.82% 0.13%
167 134 1.78% 0.13%
168 133 5.11% 0.13%
169 132 3.20% 0.13%
169 132 1.65% 0.13%
170 131 2.00% 0.13%
171 129 2.86% 0.13%
171 129 0.40% 0.13%
172 128 0.27% 0.12%
172 128 5.04% 0.12%
172 128 2.06% 0.12%
173 127 9.57% 0.12%
173 127 6.31% 0.12%
173 127 0.55% 0.12%
174 125 0.47% 0.12%
175 124 1.37% 0.12%
176 123 6.27% 0.12%
177 122 6.76% 0.12%
177 122 3.83% 0.12%
177 122 1.24% 0.12%
177 122 1.48% 0.12%
178 121 0.40% 0.12%
178 121 3.02% 0.12%
179 120 9.26% 0.12%
179 120 1.88% 0.12%
179 120 6.80% 0.12%
180 119 2.90% 0.12%
181 118 7.10% 0.11%
181 118 1.73% 0.11%
182 117 2.15% 0.11%
183 116 3.13% 0.11%
183 116 0.77% 0.11%
183 116 0.32% 0.11%
184 115 0.76% 0.11%
184 115 2.12% 0.11%
185 114 0.65% 0.11%
185 114 3.56% 0.11%
186 112 1.48% 0.11%
186 112 1.79% 0.11%
187 111 1.85% 0.11%
187 111 1.71% 0.11%
187 111 10.08% 0.11%
187 111 1.38% 0.11%
188 110 1.59% 0.11%
188 110 4.11% 0.11%
188 110 0.52% 0.11%
188 110 1.33% 0.11%
189 109 1.12% 0.11%
190 108 6.25% 0.11%
191 107 0.12% 0.10%
191 107 1.59% 0.10%
191 107 0.94% 0.10%
192 106 4.10% 0.10%
192 106 1.85% 0.10%
193 105 1.00% 0.10%
194 104 2.16% 0.10%
194 104 2.29% 0.10%
194 104 0.44% 0.10%
195 103 8.78% 0.10%
195 103 1.24% 0.10%
196 102 1.87% 0.10%
196 102 5.96% 0.10%
196 102 2.38% 0.10%
197 101 0.35% 0.10%
198 100 0.30% 0.10%
198 100 0.97% 0.10%
198 100 2.22% 0.10%
199 99 1.04% 0.10%
199 99 1.29% 0.10%
199 99 5.54% 0.10%
200 98 1.22% 0.10%
201 97 1.89% 0.09%
201 97 3.19% 0.09%
201 97 0.28% 0.09%
202 96 0.47% 0.09%
203 95 3.21% 0.09%
203 95 0.60% 0.09%
203 95 5.18% 0.09%
203 95 1.67% 0.09%
204 93 1.68% 0.09%
204 93 0.41% 0.09%
204 93 4.47% 0.09%
205 92 3.53% 0.09%
205 92 3.84% 0.09%
205 92 1.64% 0.09%
206 91 1.08% 0.09%
207 90 3.56% 0.09%
208 89 3.90% 0.09%
208 89 2.88% 0.09%
208 89 0.76% 0.09%
208 89 0.69% 0.09%
208 89 2.25% 0.09%
209 88 1.34% 0.09%
209 88 1.84% 0.09%
209 88 0.80% 0.09%
210 87 4.42% 0.08%
210 87 0.71% 0.08%
210 87 1.31% 0.08%
211 86 3.67% 0.08%
211 86 0.53% 0.08%
211 86 1.48% 0.08%
212 85 0.68% 0.08%
213 84 0.56% 0.08%
214 83 0.29% 0.08%
214 83 6.76% 0.08%
214 83 2.60% 0.08%
215 82 12.54% 0.08%
215 82 3.50% 0.08%
215 82 1.45% 0.08%
216 81 6.27% 0.08%
216 81 6.18% 0.08%
216 81 0.63% 0.08%
216 81 1.88% 0.08%
216 81 11.51% 0.08%
216 81 2.68% 0.08%
216 81 1.12% 0.08%
216 81 1.14% 0.08%
216 81 4.18% 0.08%
217 80 0.97% 0.08%
217 80 1.15% 0.08%
217 80 0.92% 0.08%
217 80 0.26% 0.08%
218 79 1.74% 0.08%
218 79 2.88% 0.08%
218 79 1.00% 0.08%
218 79 3.01% 0.08%
218 79 1.63% 0.08%
219 78 0.62% 0.08%
219 78 0.57% 0.08%
219 78 3.62% 0.08%
219 78 2.90% 0.08%
220 77 4.45% 0.08%
220 77 5.35% 0.08%
220 77 3.86% 0.08%
220 77 0.48% 0.08%
220 77 1.16% 0.08%
221 76 1.98% 0.07%
221 76 1.49% 0.07%
221 76 0.87% 0.07%
222 75 0.66% 0.07%
222 75 7.85% 0.07%
222 75 3.59% 0.07%
223 74 2.82% 0.07%
223 74 0.21% 0.07%
223 74 4.34% 0.07%
224 73 2.22% 0.07%
224 73 3.42% 0.07%
224 73 3.71% 0.07%
224 73 0.54% 0.07%
224 73 0.20% 0.07%
225 72 0.64% 0.07%
225 72 1.60% 0.07%
226 71 1.04% 0.07%
226 71 2.56% 0.07%
227 70 3.48% 0.07%
227 70 6.56% 0.07%
227 70 2.14% 0.07%
227 70 3.25% 0.07%
227 70 2.02% 0.07%
227 70 2.69% 0.07%
228 69 1.02% 0.07%
228 69 0.96% 0.07%
228 69 9.41% 0.07%
228 69 3.35% 0.07%
228 69 2.09% 0.07%
228 69 1.06% 0.07%
229 68 2.20% 0.07%
229 68 1.10% 0.07%
229 68 1.64% 0.07%
229 68 0.47% 0.07%
229 68 1.62% 0.07%
230 67 5.05% 0.07%
230 67 1.30% 0.07%
230 67 1.68% 0.07%
231 66 0.43% 0.06%
231 66 2.41% 0.06%
231 66 1.42% 0.06%
231 66 0.17% 0.06%
232 65 0.66% 0.06%
232 65 1.50% 0.06%
232 65 2.53% 0.06%
232 65 1.23% 0.06%
232 65 2.11% 0.06%
232 65 0.09% 0.06%
232 65 2.17% 0.06%
232 65 0.56% 0.06%
232 65 0.26% 0.06%
232 65 9.03% 0.06%
233 64 0.63% 0.06%
233 64 1.57% 0.06%
234 63 0.56% 0.06%
234 63 3.77% 0.06%
234 63 2.12% 0.06%
234 63 0.33% 0.06%
234 63 2.06% 0.06%
234 63 0.22% 0.06%
234 63 0.31% 0.06%
234 63 0.85% 0.06%
234 63 1.44% 0.06%
235 62 0.59% 0.06%
235 62 0.19% 0.06%
235 62 0.58% 0.06%
235 62 2.34% 0.06%
235 62 1.42% 0.06%
235 62 0.43% 0.06%
235 62 0.22% 0.06%
235 62 1.77% 0.06%
235 62 0.51% 0.06%
235 62 1.12% 0.06%
236 61 3.17% 0.06%
236 61 0.98% 0.06%
236 61 2.37% 0.06%
237 60 0.89% 0.06%
237 60 0.78% 0.06%
237 60 0.74% 0.06%
237 60 5.80% 0.06%
237 60 2.16% 0.06%
238 59 3.29% 0.06%
238 59 0.74% 0.06%
238 59 0.97% 0.06%
238 59 4.21% 0.06%
238 59 0.31% 0.06%
238 59 0.50% 0.06%
238 59 0.10% 0.06%
239 58 0.68% 0.06%
239 58 2.83% 0.06%
239 58 1.11% 0.06%
239 58 1.29% 0.06%
240 57 5.32% 0.06%
240 57 3.53% 0.06%
240 57 1.34% 0.06%
241 56 1.67% 0.05%
241 56 2.26% 0.05%
241 56 0.43% 0.05%
241 56 3.84% 0.05%
241 56 2.11% 0.05%
242 55 0.55% 0.05%
242 55 1.51% 0.05%
242 55 0.82% 0.05%
242 55 4.56% 0.05%
242 55 1.65% 0.05%
242 55 0.73% 0.05%
242 55 0.91% 0.05%
242 55 3.67% 0.05%
242 55 2.89% 0.05%
242 55 0.26% 0.05%
242 55 2.86% 0.05%
242 55 4.83% 0.05%
242 55 2.87% 0.05%
242 55 0.96% 0.05%
243 54 0.09% 0.05%
243 54 0.36% 0.05%
244 53 1.09% 0.05%
244 53 1.66% 0.05%
244 53 1.06% 0.05%
244 53 1.29% 0.05%
244 53 1.23% 0.05%
244 53 0.70% 0.05%
244 53 1.03% 0.05%
244 53 0.80% 0.05%
245 52 0.48% 0.05%
245 52 0.87% 0.05%
245 52 0.16% 0.05%
245 52 2.07% 0.05%
245 52 4.56% 0.05%
245 52 1.27% 0.05%
246 51 1.18% 0.05%
246 51 4.49% 0.05%
246 51 0.25% 0.05%
246 51 3.02% 0.05%
246 51 0.55% 0.05%
247 50 0.89% 0.05%
247 50 2.66% 0.05%
247 50 1.98% 0.05%
247 50 2.04% 0.05%
247 50 1.40% 0.05%
247 50 0.86% 0.05%
248 49 1.11% 0.05%
248 49 1.33% 0.05%
248 49 2.54% 0.05%
249 48 0.86% 0.05%
249 48 0.33% 0.05%
249 48 0.29% 0.05%
249 48 9.20% 0.05%
249 48 1.82% 0.05%
249 48 1.97% 0.05%
249 48 0.99% 0.05%
249 48 3.24% 0.05%
250 47 0.88% 0.05%
250 47 0.79% 0.05%
250 47 1.10% 0.05%
250 47 1.83% 0.05%
250 47 0.94% 0.05%
250 47 3.49% 0.05%
250 47 1.50% 0.05%
251 46 1.77% 0.04%
251 46 1.47% 0.04%
251 46 3.53% 0.04%
251 46 1.50% 0.04%
251 46 0.17% 0.04%
251 46 1.70% 0.04%
251 46 2.44% 0.04%
251 46 2.79% 0.04%
252 45 0.82% 0.04%
252 45 2.29% 0.04%
252 45 7.98% 0.04%
252 45 0.47% 0.04%
252 45 0.65% 0.04%
252 45 2.33% 0.04%
252 45 2.32% 0.04%
253 44 3.36% 0.04%
253 44 0.09% 0.04%
254 43 2.86% 0.04%
254 43 0.46% 0.04%
254 43 0.46% 0.04%
254 43 0.57% 0.04%
254 43 0.73% 0.04%
254 43 0.57% 0.04%
255 42 2.54% 0.04%
255 42 0.73% 0.04%
255 42 2.55% 0.04%
255 42 2.43% 0.04%
255 42 0.92% 0.04%
255 42 1.98% 0.04%
256 41 1.72% 0.04%
256 41 0.73% 0.04%
256 41 1.61% 0.04%
256 41 1.47% 0.04%
256 41 0.97% 0.04%
256 41 2.59% 0.04%
257 40 6.33% 0.04%
257 40 4.65% 0.04%
257 40 0.32% 0.04%
257 40 0.30% 0.04%
257 40 0.92% 0.04%
258 39 3.13% 0.04%
258 39 0.98% 0.04%
258 39 1.25% 0.04%
258 39 0.52% 0.04%
258 39 1.78% 0.04%
258 39 2.10% 0.04%
258 39 0.55% 0.04%
258 39 2.36% 0.04%
258 39 2.70% 0.04%
259 38 1.44% 0.04%
259 38 4.59% 0.04%
259 38 2.05% 0.04%
259 38 2.03% 0.04%
259 38 0.81% 0.04%
259 38 0.55% 0.04%
259 38 0.56% 0.04%
259 38 4.09% 0.04%
259 38 0.55% 0.04%
259 38 0.24% 0.04%
260 37 4.97% 0.04%
260 37 9.25% 0.04%
260 37 0.54% 0.04%
260 37 0.70% 0.04%
260 37 0.77% 0.04%
260 37 2.70% 0.04%
260 37 0.99% 0.04%
261 36 1.64% 0.04%
261 36 2.67% 0.04%
261 36 1.02% 0.04%
261 36 0.89% 0.04%
261 36 0.18% 0.04%
261 36 3.16% 0.04%
261 36 1.66% 0.04%
262 35 0.89% 0.03%
262 35 2.11% 0.03%
262 35 2.31% 0.03%
262 35 0.43% 0.03%
262 35 1.67% 0.03%
262 35 0.42% 0.03%
262 35 1.09% 0.03%
262 35 3.83% 0.03%
262 35 0.44% 0.03%
262 35 1.01% 0.03%
262 35 0.28% 0.03%
262 35 2.27% 0.03%
263 34 0.87% 0.03%
263 34 0.58% 0.03%
263 34 2.05% 0.03%
263 34 1.36% 0.03%
263 34 1.66% 0.03%
263 34 0.45% 0.03%
264 33 3.24% 0.03%
264 33 0.56% 0.03%
264 33 0.78% 0.03%
264 33 4.37% 0.03%
264 33 2.75% 0.03%
264 33 1.53% 0.03%
264 33 1.94% 0.03%
264 33 0.99% 0.03%
264 33 3.61% 0.03%
264 33 0.95% 0.03%
264 33 2.68% 0.03%
264 33 1.07% 0.03%
265 32 1.77% 0.03%
265 32 1.68% 0.03%
265 32 4.01% 0.03%
265 32 1.71% 0.03%
265 32 0.88% 0.03%
265 32 1.99% 0.03%
265 32 0.21% 0.03%
265 32 0.29% 0.03%
265 32 1.56% 0.03%
265 32 0.90% 0.03%
265 32 1.09% 0.03%
265 32 1.78% 0.03%
265 32 0.10% 0.03%
265 32 1.65% 0.03%
265 32 2.97% 0.03%
265 32 1.05% 0.03%
266 31 0.77% 0.03%
266 31 0.97% 0.03%
266 31 1.50% 0.03%
266 31 1.39% 0.03%
266 31 0.88% 0.03%
266 31 0.54% 0.03%
266 31 0.95% 0.03%
266 31 0.19% 0.03%
266 31 0.21% 0.03%
266 31 0.64% 0.03%
266 31 0.44% 0.03%
267 30 2.27% 0.03%
267 30 1.67% 0.03%
267 30 0.70% 0.03%
267 30 2.16% 0.03%
267 30 3.38% 0.03%
267 30 0.24% 0.03%
267 30 1.52% 0.03%
267 30 1.08% 0.03%
267 30 0.27% 0.03%
267 30 0.32% 0.03%
267 30 2.28% 0.03%
267 30 1.55% 0.03%
267 30 1.69% 0.03%
268 29 0.90% 0.03%
268 29 0.36% 0.03%
268 29 2.18% 0.03%
268 29 0.82% 0.03%
268 29 1.39% 0.03%
268 29 0.86% 0.03%
268 29 2.41% 0.03%
268 29 0.88% 0.03%
268 29 0.80% 0.03%
268 29 0.28% 0.03%
268 29 2.21% 0.03%
268 29 1.57% 0.03%
268 29 2.14% 0.03%
269 28 0.23% 0.03%
269 28 0.49% 0.03%
269 28 4.38% 0.03%
269 28 5.44% 0.03%
269 28 1.44% 0.03%
269 28 0.50% 0.03%
269 28 2.28% 0.03%
269 28 2.47% 0.03%
269 28 0.46% 0.03%
269 28 0.67% 0.03%
269 28 2.96% 0.03%
269 28 3.49% 0.03%
269 28 0.48% 0.03%
269 28 0.92% 0.03%
269 28 1.22% 0.03%
269 28 0.22% 0.03%
269 28 0.62% 0.03%
269 28 2.02% 0.03%
269 28 1.06% 0.03%
270 27 2.24% 0.03%
270 27 0.84% 0.03%
270 27 1.97% 0.03%
270 27 0.59% 0.03%
270 27 3.97% 0.03%
270 27 1.03% 0.03%
270 27 0.99% 0.03%
270 27 1.53% 0.03%
271 26 2.39% 0.03%
271 26 0.95% 0.03%
271 26 0.19% 0.03%
271 26 0.98% 0.03%
271 26 1.53% 0.03%
271 26 0.07% 0.03%
271 26 0.35% 0.03%
271 26 1.51% 0.03%
271 26 0.29% 0.03%
271 26 0.78% 0.03%
271 26 0.35% 0.03%
271 26 1.39% 0.03%
272 25 0.96% 0.02%
272 25 1.41% 0.02%
272 25 2.10% 0.02%
272 25 0.38% 0.02%
272 25 0.76% 0.02%
272 25 1.43% 0.02%
272 25 1.22% 0.02%
272 25 0.66% 0.02%
272 25 0.95% 0.02%
272 25 0.09% 0.02%
272 25 0.76% 0.02%
272 25 2.45% 0.02%
272 25 1.22% 0.02%
273 24 0.47% 0.02%
273 24 0.31% 0.02%
273 24 1.40% 0.02%
273 24 3.45% 0.02%
273 24 2.07% 0.02%
273 24 0.99% 0.02%
273 24 0.23% 0.02%
273 24 2.69% 0.02%
274 23 0.89% 0.02%
274 23 0.57% 0.02%
274 23 1.31% 0.02%
274 23 0.74% 0.02%
274 23 0.81% 0.02%
274 23 0.69% 0.02%
274 23 0.10% 0.02%
274 23 0.13% 0.02%
274 23 0.25% 0.02%
274 23 3.73% 0.02%
274 23 0.63% 0.02%
275 22 1.69% 0.02%
275 22 0.88% 0.02%
275 22 0.71% 0.02%
275 22 1.02% 0.02%
275 22 2.75% 0.02%
275 22 0.62% 0.02%
275 22 0.39% 0.02%
275 22 0.55% 0.02%
275 22 0.89% 0.02%
275 22 0.13% 0.02%
275 22 0.05% 0.02%
275 22 3.01% 0.02%
276 21 0.46% 0.02%
276 21 1.12% 0.02%
276 21 0.51% 0.02%
276 21 2.20% 0.02%
276 21 0.13% 0.02%
276 21 0.83% 0.02%
276 21 1.70% 0.02%
276 21 0.67% 0.02%
276 21 0.62% 0.02%
276 21 0.54% 0.02%
276 21 0.83% 0.02%
276 21 0.56% 0.02%
276 21 0.72% 0.02%
276 21 0.84% 0.02%
276 21 0.36% 0.02%
277 20 0.52% 0.02%
277 20 0.27% 0.02%
277 20 0.90% 0.02%
277 20 1.01% 0.02%
277 20 0.41% 0.02%
277 20 3.07% 0.02%
277 20 1.71% 0.02%
277 20 0.38% 0.02%
277 20 0.41% 0.02%
277 20 1.24% 0.02%
277 20 1.05% 0.02%
277 20 2.19% 0.02%
277 20 0.23% 0.02%
277 20 0.28% 0.02%
277 20 0.16% 0.02%
277 20 2.33% 0.02%
277 20 2.01% 0.02%
277 20 1.19% 0.02%
278 19 0.26% 0.02%
278 19 0.30% 0.02%
278 19 0.81% 0.02%
278 19 0.42% 0.02%
278 19 0.38% 0.02%
278 19 1.07% 0.02%
278 19 0.53% 0.02%
278 19 0.52% 0.02%
278 19 0.54% 0.02%
278 19 1.23% 0.02%
278 19 0.85% 0.02%
278 19 0.11% 0.02%
278 19 1.68% 0.02%
278 19 1.19% 0.02%
278 19 2.36% 0.02%
278 19 2.56% 0.02%
279 18 0.25% 0.02%
279 18 0.29% 0.02%
279 18 0.52% 0.02%
279 18 0.79% 0.02%
279 18 0.47% 0.02%
279 18 0.94% 0.02%
279 18 0.74% 0.02%
279 18 0.66% 0.02%
279 18 0.64% 0.02%
279 18 0.85% 0.02%
279 18 0.55% 0.02%
280 17 1.11% 0.02%
280 17 1.48% 0.02%
280 17 0.17% 0.02%
280 17 2.20% 0.02%
280 17 0.94% 0.02%
280 17 2.49% 0.02%
280 17 0.14% 0.02%
280 17 0.77% 0.02%
280 17 2.88% 0.02%
280 17 0.52% 0.02%
280 17 1.02% 0.02%
280 17 0.26% 0.02%
280 17 1.01% 0.02%
280 17 1.10% 0.02%
281 16 0.76% 0.02%
281 16 0.53% 0.02%
281 16 0.89% 0.02%
281 16 1.59% 0.02%
281 16 0.38% 0.02%
281 16 0.76% 0.02%
281 16 0.13% 0.02%
281 16 1.16% 0.02%
281 16 0.25% 0.02%
281 16 1.79% 0.02%
281 16 0.85% 0.02%
281 16 0.05% 0.02%
281 16 1.13% 0.02%
281 16 0.23% 0.02%
281 16 0.20% 0.02%
281 16 0.76% 0.02%
281 16 1.05% 0.02%
281 16 0.85% 0.02%
282 15 0.38% 0.01%
282 15 1.00% 0.01%
282 15 1.40% 0.01%
282 15 0.57% 0.01%
282 15 0.51% 0.01%
282 15 0.90% 0.01%
282 15 0.98% 0.01%
282 15 2.14% 0.01%
282 15 0.61% 0.01%
282 15 0.17% 0.01%
282 15 1.66% 0.01%
282 15 0.80% 0.01%
282 15 2.20% 0.01%
282 15 1.34% 0.01%
282 15 0.26% 0.01%
282 15 0.62% 0.01%
283 14 0.74% 0.01%
283 14 1.09% 0.01%
283 14 0.88% 0.01%
283 14 0.70% 0.01%
283 14 0.58% 0.01%
283 14 1.37% 0.01%
283 14 1.34% 0.01%
283 14 0.82% 0.01%
283 14 1.38% 0.01%
283 14 0.74% 0.01%
283 14 0.38% 0.01%
283 14 0.73% 0.01%
284 13 0.28% 0.01%
284 13 0.22% 0.01%
284 13 0.38% 0.01%
284 13 1.08% 0.01%
284 13 0.57% 0.01%
284 13 1.07% 0.01%
284 13 0.58% 0.01%
284 13 2.45% 0.01%
284 13 0.47% 0.01%
284 13 0.70% 0.01%
284 13 0.85% 0.01%
284 13 0.15% 0.01%
284 13 0.14% 0.01%
284 13 0.03% 0.01%
284 13 0.60% 0.01%
284 13 0.21% 0.01%
284 13 0.72% 0.01%
284 13 0.05% 0.01%
284 13 0.87% 0.01%
284 13 0.96% 0.01%
284 13 0.46% 0.01%
284 13 0.12% 0.01%
284 13 0.76% 0.01%
284 13 0.48% 0.01%
284 13 0.99% 0.01%
284 13 0.37% 0.01%
284 13 0.66% 0.01%
284 13 0.19% 0.01%
285 12 0.41% 0.01%
285 12 0.49% 0.01%
285 12 0.68% 0.01%
285 12 0.45% 0.01%
285 12 1.43% 0.01%
285 12 0.38% 0.01%
285 12 0.13% 0.01%
285 12 1.91% 0.01%
285 12 1.14% 0.01%
285 12 1.32% 0.01%
285 12 0.47% 0.01%
285 12 0.51% 0.01%
285 12 0.06% 0.01%
285 12 1.64% 0.01%
285 12 0.71% 0.01%
285 12 0.38% 0.01%
285 12 1.58% 0.01%
285 12 0.84% 0.01%
285 12 0.34% 0.01%
285 12 0.09% 0.01%
285 12 0.84% 0.01%
285 12 0.26% 0.01%
285 12 0.53% 0.01%
285 12 0.32% 0.01%
285 12 0.42% 0.01%
285 12 0.20% 0.01%
285 12 0.94% 0.01%
286 11 0.42% 0.01%
286 11 1.75% 0.01%
286 11 0.23% 0.01%
286 11 1.30% 0.01%
286 11 1.45% 0.01%
286 11 0.44% 0.01%
286 11 0.40% 0.01%
286 11 0.23% 0.01%
286 11 0.19% 0.01%
286 11 0.63% 0.01%
286 11 0.59% 0.01%
286 11 0.33% 0.01%
286 11 0.59% 0.01%
287 10 0.27% 0.01%
287 10 1.98% 0.01%
287 10 0.85% 0.01%
287 10 0.34% 0.01%
287 10 0.56% 0.01%
287 10 0.85% 0.01%
287 10 0.74% 0.01%
287 10 0.68% 0.01%
287 10 1.04% 0.01%
287 10 0.36% 0.01%
287 10 0.44% 0.01%
287 10 0.95% 0.01%
287 10 0.45% 0.01%
287 10 0.26% 0.01%
287 10 0.67% 0.01%
287 10 0.34% 0.01%
287 10 0.90% 0.01%
287 10 0.85% 0.01%
288 9 0.53% 0.01%
288 9 0.30% 0.01%
288 9 0.05% 0.01%
288 9 0.30% 0.01%
288 9 0.45% 0.01%
288 9 0.59% 0.01%
288 9 0.28% 0.01%
288 9 0.44% 0.01%
288 9 0.33% 0.01%
288 9 1.29% 0.01%
288 9 0.03% 0.01%
288 9 0.35% 0.01%
288 9 0.16% 0.01%
288 9 0.11% 0.01%
288 9 0.66% 0.01%
288 9 0.30% 0.01%
288 9 0.53% 0.01%
288 9 1.09% 0.01%
288 9 0.89% 0.01%
288 9 0.03% 0.01%
288 9 0.89% 0.01%
288 9 0.54% 0.01%
288 9 0.36% 0.01%
288 9 1.60% 0.01%
288 9 0.73% 0.01%
288 9 0.50% 0.01%
289 8 1.37% 0.01%
289 8 0.47% 0.01%
289 8 0.33% 0.01%
289 8 0.57% 0.01%
289 8 0.89% 0.01%
289 8 1.51% 0.01%
289 8 1.58% 0.01%
289 8 0.27% 0.01%
289 8 0.43% 0.01%
289 8 0.58% 0.01%
289 8 0.34% 0.01%
289 8 0.52% 0.01%
289 8 0.47% 0.01%
289 8 0.51% 0.01%
289 8 0.43% 0.01%
289 8 0.63% 0.01%
289 8 0.23% 0.01%
289 8 0.77% 0.01%
289 8 0.83% 0.01%
289 8 0.19% 0.01%
289 8 0.50% 0.01%
289 8 0.07% 0.01%
289 8 1.37% 0.01%
289 8 0.33% 0.01%
289 8 0.04% 0.01%
289 8 0.09% 0.01%
289 8 0.73% 0.01%
289 8 0.89% 0.01%
289 8 0.51% 0.01%
289 8 0.53% 0.01%
290 7 0.18% 0.01%
290 7 0.68% 0.01%
290 7 0.52% 0.01%
290 7 0.71% 0.01%
290 7 0.41% 0.01%
290 7 0.50% 0.01%
290 7 0.80% 0.01%
290 7 0.29% 0.01%
290 7 0.19% 0.01%
290 7 0.04% 0.01%
290 7 0.29% 0.01%
290 7 0.61% 0.01%
290 7 0.19% 0.01%
290 7 0.09% 0.01%
290 7 0.52% 0.01%
290 7 0.78% 0.01%
290 7 0.73% 0.01%
290 7 0.40% 0.01%
290 7 0.67% 0.01%
290 7 0.45% 0.01%
290 7 0.26% 0.01%
290 7 0.15% 0.01%
290 7 0.70% 0.01%
290 7 0.32% 0.01%
291 6 0.31% 0.01%
291 6 0.34% 0.01%
291 6 0.32% 0.01%
291 6 0.31% 0.01%
291 6 0.21% 0.01%
291 6 0.38% 0.01%
291 6 0.26% 0.01%
291 6 1.22% 0.01%
291 6 0.95% 0.01%
291 6 0.72% 0.01%
291 6 0.25% 0.01%
291 6 0.55% 0.01%
291 6 0.34% 0.01%
291 6 0.32% 0.01%
291 6 1.06% 0.01%
291 6 0.27% 0.01%
291 6 0.52% 0.01%
291 6 0.65% 0.01%
291 6 0.39% 0.01%
291 6 0.77% 0.01%
291 6 0.22% 0.01%
291 6 0.42% 0.01%
291 6 0.47% 0.01%
291 6 0.32% 0.01%
291 6 0.26% 0.01%
291 6 0.32% 0.01%
291 6 0.63% 0.01%
291 6 0.28% 0.01%
291 6 0.15% 0.01%
291 6 0.33% 0.01%
291 6 0.23% 0.01%
291 6 0.13% 0.01%
291 6 0.13% 0.01%
292 5 1.13% 0.00%
292 5 0.27% 0.00%
292 5 0.74% 0.00%
292 5 0.37% 0.00%
292 5 0.37% 0.00%
292 5 0.28% 0.00%
292 5 0.35% 0.00%
292 5 0.25% 0.00%
292 5 0.55% 0.00%
292 5 0.70% 0.00%
292 5 0.07% 0.00%
292 5 0.08% 0.00%
292 5 0.50% 0.00%
292 5 0.26% 0.00%
292 5 0.41% 0.00%
292 5 0.16% 0.00%
292 5 1.04% 0.00%
292 5 0.20% 0.00%
292 5 0.50% 0.00%
292 5 0.50% 0.00%
292 5 0.62% 0.00%
292 5 0.37% 0.00%
292 5 0.09% 0.00%
292 5 0.13% 0.00%
292 5 0.24% 0.00%
293 4 0.21% 0.00%
293 4 0.58% 0.00%
293 4 0.20% 0.00%
293 4 0.59% 0.00%
293 4 0.18% 0.00%
293 4 0.33% 0.00%
293 4 0.47% 0.00%
293 4 0.15% 0.00%
293 4 0.52% 0.00%
293 4 0.20% 0.00%
293 4 0.05% 0.00%
293 4 0.31% 0.00%
293 4 0.30% 0.00%
293 4 0.31% 0.00%
293 4 0.25% 0.00%
293 4 0.08% 0.00%
293 4 0.71% 0.00%
293 4 0.46% 0.00%
293 4 0.60% 0.00%
293 4 0.14% 0.00%
293 4 0.33% 0.00%
293 4 0.43% 0.00%
293 4 0.25% 0.00%
293 4 0.27% 0.00%
293 4 0.05% 0.00%
293 4 0.02% 0.00%
293 4 0.32% 0.00%
293 4 0.67% 0.00%
293 4 0.31% 0.00%
293 4 0.16% 0.00%
293 4 0.25% 0.00%
293 4 0.47% 0.00%
293 4 0.26% 0.00%
293 4 0.31% 0.00%
293 4 0.37% 0.00%
294 3 0.29% 0.00%
294 3 0.15% 0.00%
294 3 0.14% 0.00%
294 3 0.22% 0.00%
294 3 0.13% 0.00%
294 3 0.53% 0.00%
294 3 0.48% 0.00%
294 3 0.12% 0.00%
294 3 0.27% 0.00%
294 3 0.24% 0.00%
294 3 0.17% 0.00%
294 3 0.32% 0.00%
294 3 0.42% 0.00%
294 3 0.13% 0.00%
294 3 0.26% 0.00%
294 3 0.30% 0.00%
294 3 0.24% 0.00%
294 3 0.05% 0.00%
294 3 0.30% 0.00%
294 3 0.18% 0.00%
294 3 0.29% 0.00%
294 3 0.47% 0.00%
294 3 0.25% 0.00%
294 3 0.40% 0.00%
294 3 0.42% 0.00%
294 3 0.41% 0.00%
294 3 0.17% 0.00%
294 3 0.24% 0.00%
294 3 0.35% 0.00%
294 3 0.28% 0.00%
294 3 0.34% 0.00%
294 3 0.30% 0.00%
294 3 0.30% 0.00%
294 3 0.22% 0.00%
294 3 0.28% 0.00%
295 2 0.11% 0.00%
295 2 0.26% 0.00%
295 2 0.12% 0.00%
295 2 0.37% 0.00%
295 2 0.12% 0.00%
295 2 0.23% 0.00%
295 2 0.13% 0.00%
295 2 0.20% 0.00%
295 2 0.25% 0.00%
295 2 0.16% 0.00%
295 2 0.20% 0.00%
295 2 0.13% 0.00%
295 2 0.10% 0.00%
295 2 0.28% 0.00%
295 2 0.24% 0.00%
295 2 0.26% 0.00%
295 2 0.42% 0.00%
295 2 0.21% 0.00%
295 2 0.15% 0.00%
295 2 0.21% 0.00%
295 2 0.08% 0.00%
295 2 0.15% 0.00%
295 2 0.22% 0.00%
295 2 0.07% 0.00%
295 2 0.10% 0.00%
295 2 0.22% 0.00%
295 2 0.32% 0.00%
295 2 0.33% 0.00%
295 2 0.39% 0.00%
295 2 0.16% 0.00%
295 2 0.19% 0.00%
295 2 0.29% 0.00%
295 2 0.05% 0.00%
296 1 0.19% 0.00%
296 1 0.22% 0.00%
296 1 0.04% 0.00%
296 1 0.17% 0.00%
296 1 0.06% 0.00%
296 1 0.03% 0.00%
296 1 0.14% 0.00%
296 1 0.14% 0.00%
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 0 - -
297 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 New York by their French Canadian population, using the most recent ACS data available.

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

How We Ranked the Data

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

Sources

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