French Population in Texas by City : 2025 Ranking & Insights

The French population in Texas totals 465,829, according to recent U.S. Census estimates. Leading cities include Houston (32,662), followed by Austin (23,448) and San Antonio (17,717), 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 Texas''s urban and rural landscape.

Top 5 cities with the largest French population in Texas

  • 1
    Houston
    French population in Houston is 32,662
    1.42% of Houston population is French
  • 2
    Austin
    French population in Austin is 23,448
    2.42% of Austin population is French
  • 3
    San Antonio
    French population in San Antonio is 17,717
    1.21% of San Antonio population is French
  • 4
    Dallas
    French population in Dallas is 14,968
    1.15% of Dallas population is French
  • 5
    Fort Worth
    French population in Fort Worth is 11,948
    1.27% of Fort Worth population is French

Overview of French population in Texas

  • Population Count and Percentage: American Community Survey documents Texas with 465,829 French residents (1.6% of 29.6 million total state population), ranking the state at the 97th percentile nationally among U.S. jurisdictions for French demographic representation.
  • Comparison to State and National Averages: U.S. Census surveys show Texas's French demographic representation of 1.6% remains below the national average of 2%, positioning the state below typical U.S. demographic distribution patterns.
  • Share of Total National Population: Official American Community Survey records show Texas hosts 465,829 French residents, representing 7% 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 Texas's density of 1.8 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. ➔

964 Cities in Texas Ranked by French Population

American Community Survey data [1] show French population in Texas present in Houston, Austin, and San Antonio, 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 Texas ranked by French population count
Rank by French Population
City
French Population
% of Total City Population
% of Total Texas French Population
5 Year Rank Trend
1 Houston 32,662 1.42% 7.01%
2 Austin 23,448 2.42% 5.03%
3 San Antonio 17,717 1.21% 3.80%
4 Dallas 14,968 1.15% 3.21%
5 Fort Worth 11,948 1.27% 2.56%
6 Plano 5,185 1.80% 1.11%
7 Frisco 4,227 2.01% 0.91%
8 4,112 0.61% 0.88%
9 3,760 0.95% 0.81%
10 3,630 1.79% 0.78%
11 3,164 1.00% 0.68%
12 3,111 2.12% 0.67%
13 2,713 2.80% 0.58%
14 2,594 0.99% 0.56%
15 2,570 1.94% 0.55%
16 2,528 2.22% 0.54%
17 2,472 1.23% 0.53%
18 2,404 2.09% 0.52%
19 2,379 1.95% 0.51%
20 2,363 1.90% 0.51%
21 2,285 1.81% 0.49%
22 2,235 1.57% 0.48%
23 2,142 1.81% 0.46%
24 2,105 15.45% 0.45%
25 2,068 0.84% 0.44%
26 1,948 10.54% 0.42%
27 1,930 0.76% 0.41%
28 1,909 2.42% 0.41%
29 1,850 1.87% 0.40%
30 1,822 1.43% 0.39%
31 1,786 2.07% 0.38%
32 1,785 2.29% 0.38%
33 1,709 2.52% 0.37%
34 1,699 1.27% 0.36%
35 1,689 9.92% 0.36%
36 1,672 1.12% 0.36%
37 1,664 1.52% 0.36%
38 1,653 2.35% 0.35%
39 1,650 1.95% 0.35%
40 1,635 1.27% 0.35%
41 1,623 2.09% 0.35%
42 1,614 1.62% 0.35%
43 1,534 3.02% 0.33%
44 1,528 1.85% 0.33%
45 1,507 3.31% 0.32%
46 1,480 1.37% 0.32%
47 1,467 0.94% 0.31%
48 1,466 1.36% 0.31%
49 1,464 15.33% 0.31%
50 1,435 1.00% 0.31%
51 1,420 0.72% 0.30%
52 1,333 2.39% 0.29%
53 1,314 2.80% 0.28%
54 1,310 6.83% 0.28%
55 1,306 3.20% 0.28%
56 1,302 2.55% 0.28%
57 1,267 13.01% 0.27%
58 1,259 2.36% 0.27%
59 1,232 4.54% 0.26%
60 1,222 2.48% 0.26%
61 1,220 2.07% 0.26%
62 1,218 8.82% 0.26%
63 1,203 2.22% 0.26%
64 1,190 1.16% 0.26%
65 1,163 1.69% 0.25%
66 1,124 1.72% 0.24%
67 1,082 4.53% 0.23%
68 1,066 3.95% 0.23%
69 1,016 4.05% 0.22%
70 1,013 2.32% 0.22%
71 998 2.68% 0.21%
72 959 1.11% 0.21%
73 940 2.61% 0.20%
74 930 1.42% 0.20%
75 925 1.23% 0.20%
76 911 3.27% 0.20%
77 881 1.17% 0.19%
78 843 3.04% 0.18%
79 841 1.87% 0.18%
80 826 1.37% 0.18%
80 826 1.29% 0.18%
81 824 1.57% 0.18%
82 822 1.60% 0.18%
83 804 0.54% 0.17%
84 793 2.36% 0.17%
85 742 2.31% 0.16%
85 742 2.19% 0.16%
86 725 1.46% 0.16%
87 707 2.88% 0.15%
88 703 2.88% 0.15%
89 696 1.87% 0.15%
90 669 1.49% 0.14%
91 662 0.65% 0.14%
92 657 1.65% 0.14%
93 656 2.04% 0.14%
94 654 0.35% 0.14%
95 646 1.50% 0.14%
96 641 1.77% 0.14%
97 629 2.75% 0.14%
98 627 3.20% 0.13%
99 611 1.81% 0.13%
100 598 1.77% 0.13%
101 596 3.06% 0.13%
102 589 1.72% 0.13%
103 582 0.51% 0.12%
104 536 2.07% 0.12%
105 518 1.23% 0.11%
106 513 1.76% 0.11%
107 510 2.82% 0.11%
108 498 4.77% 0.11%
109 487 7.41% 0.10%
109 487 1.22% 0.10%
110 485 9.02% 0.10%
111 483 2.43% 0.10%
112 480 0.67% 0.10%
113 478 1.38% 0.10%
114 477 1.50% 0.10%
115 475 0.98% 0.10%
116 474 2.77% 0.10%
116 474 3.64% 0.10%
117 467 5.00% 0.10%
118 464 1.95% 0.10%
119 460 2.19% 0.10%
120 452 1.94% 0.10%
121 436 2.28% 0.09%
122 433 2.13% 0.09%
123 421 3.13% 0.09%
123 421 2.78% 0.09%
124 420 4.69% 0.09%
125 418 3.26% 0.09%
126 401 1.39% 0.09%
127 400 2.58% 0.09%
128 394 4.68% 0.08%
129 393 1.87% 0.08%
130 392 0.15% 0.08%
131 388 1.25% 0.08%
132 379 4.32% 0.08%
133 361 4.26% 0.08%
134 349 2.56% 0.07%
135 348 2.03% 0.07%
136 346 1.37% 0.07%
137 345 7.77% 0.07%
138 338 11.21% 0.07%
139 337 2.01% 0.07%
140 335 3.81% 0.07%
141 332 2.16% 0.07%
142 319 1.82% 0.07%
143 315 3.08% 0.07%
144 313 7.74% 0.07%
145 312 2.77% 0.07%
146 308 0.93% 0.07%
147 306 1.89% 0.07%
148 304 0.88% 0.07%
149 300 1.85% 0.06%
150 299 2.65% 0.06%
151 294 0.98% 0.06%
152 292 1.96% 0.06%
153 288 1.53% 0.06%
153 288 2.34% 0.06%
154 287 2.61% 0.06%
155 284 4.61% 0.06%
156 283 1.14% 0.06%
157 282 7.67% 0.06%
158 279 2.62% 0.06%
159 278 1.10% 0.06%
159 278 2.97% 0.06%
160 273 1.71% 0.06%
160 273 1.12% 0.06%
161 271 3.64% 0.06%
161 271 3.19% 0.06%
162 270 1.42% 0.06%
163 269 1.26% 0.06%
164 268 0.59% 0.06%
165 267 0.74% 0.06%
166 266 1.47% 0.06%
167 265 1.12% 0.06%
168 258 1.45% 0.06%
169 257 4.72% 0.06%
170 253 5.81% 0.05%
171 250 1.33% 0.05%
172 245 2.76% 0.05%
172 245 7.12% 0.05%
173 242 2.31% 0.05%
174 239 0.97% 0.05%
175 237 2.60% 0.05%
176 236 2.94% 0.05%
177 231 1.31% 0.05%
178 229 2.16% 0.05%
179 228 3.80% 0.05%
179 228 4.38% 0.05%
180 226 0.28% 0.05%
181 225 1.40% 0.05%
182 220 1.65% 0.05%
182 220 0.53% 0.05%
183 219 23.93% 0.05%
184 215 1.35% 0.05%
185 209 2.91% 0.04%
186 208 1.41% 0.04%
187 205 4.65% 0.04%
188 202 2.29% 0.04%
188 202 1.73% 0.04%
189 201 0.97% 0.04%
190 200 1.49% 0.04%
191 199 1.83% 0.04%
192 196 0.35% 0.04%
192 196 0.91% 0.04%
193 194 1.60% 0.04%
194 193 4.10% 0.04%
195 192 3.04% 0.04%
195 192 2.79% 0.04%
196 189 4.59% 0.04%
197 184 1.37% 0.04%
198 182 3.47% 0.04%
198 182 1.09% 0.04%
199 181 1.04% 0.04%
200 177 3.95% 0.04%
201 175 1.90% 0.04%
201 175 1.38% 0.04%
202 172 3.38% 0.04%
203 170 1.03% 0.04%
204 159 1.68% 0.03%
205 158 3.93% 0.03%
206 156 1.09% 0.03%
207 154 2.34% 0.03%
208 152 2.14% 0.03%
209 151 4.99% 0.03%
209 151 0.72% 0.03%
210 149 6.89% 0.03%
211 147 6.64% 0.03%
212 146 5.81% 0.03%
213 145 5.12% 0.03%
214 144 0.36% 0.03%
215 143 4.13% 0.03%
216 142 1.34% 0.03%
217 140 2.11% 0.03%
217 140 0.16% 0.03%
218 139 1.40% 0.03%
219 138 3.83% 0.03%
219 138 3.54% 0.03%
219 138 1.39% 0.03%
219 138 2.22% 0.03%
220 136 6.86% 0.03%
221 135 2.14% 0.03%
222 134 0.71% 0.03%
223 133 2.68% 0.03%
223 133 1.98% 0.03%
223 133 0.70% 0.03%
224 132 0.86% 0.03%
225 130 0.48% 0.03%
226 128 7.85% 0.03%
227 126 4.79% 0.03%
228 125 3.96% 0.03%
229 124 1.33% 0.03%
229 124 2.00% 0.03%
230 122 4.60% 0.03%
230 122 1.00% 0.03%
230 122 4.73% 0.03%
231 121 1.10% 0.03%
231 121 3.86% 0.03%
232 119 2.40% 0.03%
232 119 1.46% 0.03%
233 118 4.06% 0.03%
234 117 1.44% 0.03%
234 117 4.10% 0.03%
235 116 3.76% 0.02%
236 114 3.34% 0.02%
236 114 4.97% 0.02%
237 111 3.68% 0.02%
238 110 2.01% 0.02%
239 109 0.63% 0.02%
240 108 3.78% 0.02%
240 108 14.01% 0.02%
240 108 1.29% 0.02%
240 108 1.92% 0.02%
240 108 5.05% 0.02%
241 107 5.58% 0.02%
242 106 3.20% 0.02%
243 105 0.37% 0.02%
243 105 2.92% 0.02%
244 104 2.46% 0.02%
245 102 1.26% 0.02%
245 102 3.74% 0.02%
246 101 2.30% 0.02%
246 101 7.03% 0.02%
246 101 1.85% 0.02%
247 100 1.76% 0.02%
248 99 8.74% 0.02%
248 99 1.73% 0.02%
249 98 0.69% 0.02%
249 98 0.62% 0.02%
250 96 0.60% 0.02%
251 95 1.27% 0.02%
251 95 2.72% 0.02%
252 94 2.22% 0.02%
253 92 5.13% 0.02%
253 92 1.56% 0.02%
254 91 1.22% 0.02%
255 90 1.06% 0.02%
256 89 2.47% 0.02%
256 89 1.03% 0.02%
257 88 0.70% 0.02%
257 88 0.44% 0.02%
257 88 1.17% 0.02%
257 88 2.44% 0.02%
258 87 1.41% 0.02%
258 87 2.56% 0.02%
258 87 7.26% 0.02%
258 87 3.63% 0.02%
259 85 8.92% 0.02%
259 85 4.00% 0.02%
260 84 1.31% 0.02%
260 84 1.16% 0.02%
261 83 2.11% 0.02%
261 83 1.30% 0.02%
261 83 3.49% 0.02%
262 82 1.57% 0.02%
262 82 3.98% 0.02%
263 81 5.00% 0.02%
263 81 3.29% 0.02%
263 81 0.95% 0.02%
264 80 2.89% 0.02%
265 79 0.97% 0.02%
265 79 7.99% 0.02%
266 78 8.74% 0.02%
267 77 0.99% 0.02%
267 77 0.73% 0.02%
268 76 1.20% 0.02%
268 76 1.41% 0.02%
269 75 2.90% 0.02%
269 75 1.24% 0.02%
270 74 2.53% 0.02%
270 74 1.27% 0.02%
271 73 2.27% 0.02%
271 73 1.92% 0.02%
271 73 2.81% 0.02%
271 73 1.26% 0.02%
272 72 1.92% 0.02%
272 72 1.54% 0.02%
272 72 1.23% 0.02%
273 71 1.31% 0.02%
273 71 1.60% 0.02%
273 71 1.34% 0.02%
273 71 0.29% 0.02%
274 70 1.17% 0.02%
274 70 1.17% 0.02%
274 70 3.59% 0.02%
274 70 0.45% 0.02%
274 70 1.01% 0.02%
274 70 2.45% 0.02%
275 69 2.23% 0.01%
276 68 2.79% 0.01%
276 68 2.59% 0.01%
277 67 5.12% 0.01%
277 67 0.54% 0.01%
277 67 0.87% 0.01%
278 66 0.70% 0.01%
279 65 2.05% 0.01%
279 65 2.79% 0.01%
279 65 1.79% 0.01%
279 65 4.32% 0.01%
279 65 1.02% 0.01%
279 65 1.48% 0.01%
279 65 2.58% 0.01%
279 65 1.29% 0.01%
280 64 0.96% 0.01%
280 64 2.74% 0.01%
280 64 2.44% 0.01%
281 63 4.05% 0.01%
281 63 5.01% 0.01%
281 63 4.08% 0.01%
281 63 0.94% 0.01%
282 62 0.79% 0.01%
282 62 6.65% 0.01%
282 62 2.85% 0.01%
282 62 2.02% 0.01%
283 60 1.42% 0.01%
283 60 4.29% 0.01%
283 60 2.98% 0.01%
284 59 0.33% 0.01%
284 59 0.43% 0.01%
284 59 0.21% 0.01%
284 59 1.19% 0.01%
284 59 2.60% 0.01%
285 58 1.39% 0.01%
285 58 1.44% 0.01%
285 58 2.36% 0.01%
286 57 4.82% 0.01%
286 57 2.79% 0.01%
286 57 7.67% 0.01%
286 57 1.37% 0.01%
286 57 1.28% 0.01%
286 57 2.56% 0.01%
287 56 7.98% 0.01%
287 56 1.00% 0.01%
287 56 1.98% 0.01%
287 56 0.79% 0.01%
287 56 9.91% 0.01%
288 55 0.26% 0.01%
289 54 2.70% 0.01%
289 54 3.10% 0.01%
289 54 0.65% 0.01%
289 54 2.69% 0.01%
289 54 2.05% 0.01%
290 53 1.17% 0.01%
290 53 1.74% 0.01%
290 53 5.35% 0.01%
290 53 0.78% 0.01%
291 52 1.91% 0.01%
291 52 1.15% 0.01%
291 52 2.82% 0.01%
291 52 0.72% 0.01%
292 51 0.98% 0.01%
292 51 1.06% 0.01%
293 50 2.25% 0.01%
293 50 0.44% 0.01%
294 49 1.40% 0.01%
294 49 1.60% 0.01%
294 49 3.16% 0.01%
294 49 0.56% 0.01%
294 49 2.06% 0.01%
294 49 2.25% 0.01%
294 49 6.14% 0.01%
294 49 6.74% 0.01%
295 48 1.01% 0.01%
295 48 4.46% 0.01%
296 47 3.24% 0.01%
296 47 1.83% 0.01%
296 47 2.92% 0.01%
297 46 0.35% 0.01%
297 46 2.75% 0.01%
297 46 2.19% 0.01%
297 46 2.36% 0.01%
297 46 0.63% 0.01%
297 46 1.90% 0.01%
297 46 0.86% 0.01%
297 46 2.01% 0.01%
298 45 1.07% 0.01%
298 45 0.63% 0.01%
299 44 2.15% 0.01%
299 44 2.44% 0.01%
299 44 0.55% 0.01%
299 44 0.18% 0.01%
300 43 0.32% 0.01%
300 43 1.37% 0.01%
300 43 0.29% 0.01%
300 43 2.04% 0.01%
301 42 2.07% 0.01%
301 42 0.10% 0.01%
302 41 0.50% 0.01%
302 41 0.91% 0.01%
302 41 1.73% 0.01%
303 40 5.48% 0.01%
303 40 0.38% 0.01%
303 40 0.61% 0.01%
303 40 2.67% 0.01%
304 39 2.33% 0.01%
304 39 3.21% 0.01%
304 39 1.51% 0.01%
304 39 0.47% 0.01%
304 39 3.14% 0.01%
304 39 0.85% 0.01%
304 39 3.47% 0.01%
304 39 1.20% 0.01%
305 38 1.88% 0.01%
305 38 3.51% 0.01%
305 38 1.68% 0.01%
305 38 3.30% 0.01%
305 38 0.30% 0.01%
305 38 0.55% 0.01%
306 37 1.17% 0.01%
306 37 0.72% 0.01%
306 37 1.15% 0.01%
306 37 1.76% 0.01%
306 37 5.19% 0.01%
306 37 1.07% 0.01%
306 37 2.86% 0.01%
306 37 3.06% 0.01%
307 36 0.21% 0.01%
307 36 1.81% 0.01%
307 36 5.00% 0.01%
307 36 0.94% 0.01%
307 36 0.64% 0.01%
308 35 0.65% 0.01%
308 35 1.90% 0.01%
308 35 1.11% 0.01%
308 35 0.25% 0.01%
308 35 1.07% 0.01%
308 35 0.69% 0.01%
308 35 1.19% 0.01%
309 34 1.62% 0.01%
309 34 0.64% 0.01%
309 34 1.09% 0.01%
309 34 0.60% 0.01%
309 34 1.38% 0.01%
309 34 1.94% 0.01%
309 34 2.22% 0.01%
310 33 1.04% 0.01%
310 33 3.89% 0.01%
310 33 0.57% 0.01%
310 33 0.37% 0.01%
310 33 1.52% 0.01%
310 33 1.68% 0.01%
310 33 1.15% 0.01%
311 32 0.30% 0.01%
311 32 0.71% 0.01%
311 32 2.14% 0.01%
311 32 1.58% 0.01%
311 32 0.28% 0.01%
311 32 1.84% 0.01%
311 32 1.30% 0.01%
311 32 1.13% 0.01%
312 31 4.78% 0.01%
312 31 0.27% 0.01%
313 30 3.64% 0.01%
313 30 3.17% 0.01%
313 30 1.33% 0.01%
313 30 0.17% 0.01%
313 30 0.39% 0.01%
313 30 2.75% 0.01%
313 30 3.15% 0.01%
313 30 0.83% 0.01%
313 30 1.69% 0.01%
314 29 3.52% 0.01%
314 29 0.71% 0.01%
314 29 1.39% 0.01%
314 29 0.28% 0.01%
314 29 2.04% 0.01%
315 28 0.50% 0.01%
315 28 0.91% 0.01%
315 28 3.56% 0.01%
315 28 0.17% 0.01%
315 28 3.87% 0.01%
315 28 1.21% 0.01%
316 27 0.13% 0.01%
316 27 1.14% 0.01%
316 27 0.25% 0.01%
316 27 2.69% 0.01%
316 27 3.54% 0.01%
316 27 5.76% 0.01%
316 27 0.36% 0.01%
316 27 1.14% 0.01%
316 27 1.97% 0.01%
316 27 0.08% 0.01%
316 27 2.70% 0.01%
316 27 0.31% 0.01%
317 26 2.23% 0.01%
317 26 1.24% 0.01%
317 26 0.24% 0.01%
317 26 1.99% 0.01%
317 26 0.95% 0.01%
317 26 0.96% 0.01%
317 26 1.05% 0.01%
317 26 1.74% 0.01%
317 26 2.39% 0.01%
317 26 1.21% 0.01%
317 26 0.83% 0.01%
317 26 0.17% 0.01%
318 25 0.80% 0.01%
318 25 1.97% 0.01%
318 25 1.94% 0.01%
318 25 3.39% 0.01%
318 25 0.95% 0.01%
319 24 0.61% 0.01%
319 24 0.46% 0.01%
319 24 0.60% 0.01%
319 24 0.72% 0.01%
319 24 0.94% 0.01%
319 24 0.53% 0.01%
319 24 1.80% 0.01%
319 24 0.83% 0.01%
319 24 2.66% 0.01%
319 24 0.67% 0.01%
319 24 5.06% 0.01%
319 24 1.21% 0.01%
320 23 1.89% 0.00%
320 23 0.68% 0.00%
320 23 0.59% 0.00%
320 23 0.83% 0.00%
320 23 2.13% 0.00%
320 23 1.57% 0.00%
320 23 0.51% 0.00%
320 23 1.51% 0.00%
320 23 0.68% 0.00%
321 22 1.79% 0.00%
321 22 0.76% 0.00%
322 21 0.39% 0.00%
322 21 0.83% 0.00%
322 21 0.42% 0.00%
322 21 0.36% 0.00%
322 21 0.26% 0.00%
322 21 0.85% 0.00%
322 21 0.99% 0.00%
322 21 2.98% 0.00%
322 21 0.92% 0.00%
322 21 0.38% 0.00%
322 21 4.29% 0.00%
323 20 2.58% 0.00%
323 20 1.76% 0.00%
323 20 0.23% 0.00%
323 20 0.55% 0.00%
323 20 0.87% 0.00%
323 20 1.53% 0.00%
323 20 1.21% 0.00%
323 20 1.32% 0.00%
323 20 2.03% 0.00%
324 19 0.76% 0.00%
324 19 2.40% 0.00%
324 19 1.02% 0.00%
324 19 0.77% 0.00%
324 19 1.23% 0.00%
324 19 2.22% 0.00%
324 19 0.78% 0.00%
324 19 0.37% 0.00%
324 19 0.70% 0.00%
324 19 0.93% 0.00%
325 18 1.22% 0.00%
325 18 0.13% 0.00%
325 18 1.34% 0.00%
325 18 3.08% 0.00%
325 18 1.56% 0.00%
325 18 1.53% 0.00%
325 18 1.16% 0.00%
325 18 0.90% 0.00%
325 18 1.74% 0.00%
325 18 0.58% 0.00%
325 18 1.36% 0.00%
325 18 0.66% 0.00%
325 18 0.11% 0.00%
325 18 2.05% 0.00%
325 18 2.33% 0.00%
326 17 2.26% 0.00%
326 17 1.24% 0.00%
326 17 2.63% 0.00%
326 17 2.93% 0.00%
326 17 0.07% 0.00%
326 17 1.11% 0.00%
326 17 1.16% 0.00%
326 17 1.96% 0.00%
327 16 1.08% 0.00%
327 16 0.30% 0.00%
327 16 1.36% 0.00%
327 16 2.30% 0.00%
327 16 1.88% 0.00%
327 16 0.67% 0.00%
327 16 1.95% 0.00%
327 16 1.75% 0.00%
327 16 1.31% 0.00%
327 16 0.61% 0.00%
327 16 3.21% 0.00%
327 16 2.17% 0.00%
327 16 1.63% 0.00%
327 16 0.58% 0.00%
327 16 0.56% 0.00%
328 15 3.82% 0.00%
328 15 1.38% 0.00%
328 15 1.50% 0.00%
328 15 0.87% 0.00%
328 15 0.57% 0.00%
328 15 1.12% 0.00%
328 15 0.13% 0.00%
328 15 1.71% 0.00%
328 15 1.14% 0.00%
329 14 0.96% 0.00%
329 14 1.00% 0.00%
329 14 1.57% 0.00%
329 14 1.64% 0.00%
329 14 0.46% 0.00%
329 14 2.28% 0.00%
329 14 2.09% 0.00%
329 14 0.32% 0.00%
329 14 0.55% 0.00%
329 14 0.51% 0.00%
329 14 2.03% 0.00%
329 14 2.07% 0.00%
329 14 0.51% 0.00%
329 14 1.00% 0.00%
330 13 0.44% 0.00%
330 13 0.12% 0.00%
330 13 0.08% 0.00%
330 13 0.58% 0.00%
330 13 3.46% 0.00%
330 13 1.31% 0.00%
330 13 0.37% 0.00%
330 13 1.06% 0.00%
330 13 0.07% 0.00%
331 12 0.39% 0.00%
331 12 0.79% 0.00%
331 12 0.29% 0.00%
331 12 1.20% 0.00%
331 12 1.25% 0.00%
332 11 0.61% 0.00%
332 11 1.20% 0.00%
332 11 0.68% 0.00%
332 11 0.64% 0.00%
332 11 1.33% 0.00%
332 11 0.64% 0.00%
332 11 0.88% 0.00%
332 11 0.54% 0.00%
332 11 0.52% 0.00%
332 11 0.39% 0.00%
332 11 1.46% 0.00%
333 10 0.85% 0.00%
333 10 1.68% 0.00%
333 10 1.83% 0.00%
333 10 0.34% 0.00%
333 10 0.67% 0.00%
333 10 2.24% 0.00%
333 10 0.53% 0.00%
333 10 1.46% 0.00%
333 10 0.25% 0.00%
333 10 0.91% 0.00%
333 10 2.05% 0.00%
333 10 1.36% 0.00%
333 10 2.43% 0.00%
333 10 0.60% 0.00%
333 10 1.24% 0.00%
333 10 1.35% 0.00%
334 9 0.29% 0.00%
334 9 0.55% 0.00%
334 9 1.49% 0.00%
334 9 0.24% 0.00%
334 9 0.98% 0.00%
334 9 0.25% 0.00%
334 9 0.89% 0.00%
334 9 0.99% 0.00%
334 9 0.68% 0.00%
334 9 0.48% 0.00%
334 9 1.84% 0.00%
334 9 0.47% 0.00%
334 9 0.19% 0.00%
334 9 0.44% 0.00%
334 9 0.15% 0.00%
334 9 0.16% 0.00%
334 9 0.59% 0.00%
334 9 0.93% 0.00%
334 9 1.33% 0.00%
334 9 1.21% 0.00%
335 8 1.03% 0.00%
335 8 0.35% 0.00%
335 8 0.19% 0.00%
335 8 0.08% 0.00%
335 8 0.71% 0.00%
335 8 0.36% 0.00%
335 8 1.04% 0.00%
335 8 1.53% 0.00%
335 8 0.28% 0.00%
335 8 0.49% 0.00%
335 8 0.50% 0.00%
335 8 0.59% 0.00%
335 8 1.07% 0.00%
335 8 0.83% 0.00%
335 8 0.31% 0.00%
335 8 0.51% 0.00%
336 7 0.84% 0.00%
336 7 0.72% 0.00%
336 7 0.82% 0.00%
336 7 0.50% 0.00%
336 7 0.44% 0.00%
336 7 0.82% 0.00%
336 7 0.43% 0.00%
336 7 0.89% 0.00%
336 7 0.86% 0.00%
336 7 1.01% 0.00%
336 7 0.54% 0.00%
336 7 0.36% 0.00%
336 7 0.16% 0.00%
337 6 1.95% 0.00%
337 6 1.05% 0.00%
337 6 0.34% 0.00%
337 6 0.41% 0.00%
337 6 0.39% 0.00%
337 6 0.16% 0.00%
337 6 0.95% 0.00%
337 6 0.17% 0.00%
337 6 1.42% 0.00%
337 6 0.61% 0.00%
337 6 0.51% 0.00%
337 6 0.55% 0.00%
337 6 0.76% 0.00%
338 5 0.37% 0.00%
338 5 0.19% 0.00%
338 5 0.38% 0.00%
339 4 0.37% 0.00%
339 4 0.30% 0.00%
339 4 0.37% 0.00%
339 4 0.29% 0.00%
339 4 0.81% 0.00%
340 3 0.27% 0.00%
340 3 0.17% 0.00%
340 3 0.21% 0.00%
340 3 0.23% 0.00%
340 3 0.59% 0.00%
340 3 0.32% 0.00%
340 3 0.52% 0.00%
340 3 0.26% 0.00%
340 3 0.24% 0.00%
340 3 0.18% 0.00%
340 3 0.10% 0.00%
340 3 0.48% 0.00%
340 3 0.24% 0.00%
340 3 0.20% 0.00%
340 3 0.85% 0.00%
340 3 0.41% 0.00%
340 3 0.12% 0.00%
340 3 0.28% 0.00%
340 3 0.32% 0.00%
340 3 0.15% 0.00%
340 3 0.23% 0.00%
341 2 0.19% 0.00%
341 2 0.12% 0.00%
341 2 0.14% 0.00%
341 2 0.12% 0.00%
341 2 0.11% 0.00%
341 2 0.26% 0.00%
341 2 0.23% 0.00%
341 2 0.29% 0.00%
341 2 0.17% 0.00%
341 2 0.45% 0.00%
341 2 0.37% 0.00%
341 2 0.28% 0.00%
341 2 0.24% 0.00%
341 2 0.04% 0.00%
341 2 0.39% 0.00%
341 2 0.22% 0.00%
341 2 0.25% 0.00%
341 2 0.09% 0.00%
341 2 0.11% 0.00%
341 2 0.23% 0.00%
341 2 0.33% 0.00%
342 1 0.19% 0.00%
342 1 0.03% 0.00%
342 1 0.02% 0.00%
342 1 0.18% 0.00%
342 1 0.10% 0.00%
342 1 0.11% 0.00%
342 1 0.15% 0.00%
342 1 0.04% 0.00%
342 1 0.09% 0.00%
342 1 0.20% 0.00%
342 1 0.08% 0.00%
342 1 0.11% 0.00%
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 0 - -
343 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 Texas 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 Texas 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.