Mexican Population in Ohio by City : 2025 Ranking & Insights

The Mexican population in Ohio totals 229,290, according to recent U.S. Census estimates. Leading cities include Columbus (33,432), followed by Toledo (17,936) and Cleveland (6,073), 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 Mexican residents are distributed across Ohio''s urban and rural landscape.

Top 5 cities with the largest Mexican population in Ohio

View All
  • 1
    Columbus
    Mexican population in Columbus is 33,432
    3.69% of Columbus population is Mexican
  • 2
    Toledo
    Mexican population in Toledo is 17,936
    6.68% of Toledo population is Mexican
  • 3
    Cleveland
    Mexican population in Cleveland is 6,073
    1.65% of Cleveland population is Mexican
  • 4
    Cincinnati
    Mexican population in Cincinnati is 5,000
    1.62% of Cincinnati population is Mexican
  • 5
    Hamilton
    Mexican population in Hamilton is 4,513
    7.15% of Hamilton population is Mexican

Overview of Mexican population in Ohio

  • Population Count and Percentage: American Community Survey documents Ohio with 229,290 Mexican residents (1.9% of 11.8 million total state population), ranking the state at the 56th percentile nationally among U.S. jurisdictions for Mexican demographic representation.
  • Comparison to State and National Averages: U.S. Census surveys show Ohio's Mexican demographic representation of 1.9% remains below the national average of 11.3%, positioning the state below typical U.S. demographic distribution patterns.
  • Share of Total National Population: Official American Community Survey data indicates Ohio contains 229,290 Mexican residents, representing less than 1% of the nation's total Mexican population of 37.4 million, constituting a minimal fraction of the national demographic community relative to the state's overall population size.
  • Population Density per Square Mile: U.S. Census Bureau's American Community Survey document Ohio contains 5.6 Mexican per square mile, below the national average of 10.6 per square mile, while maintaining moderate community presence relative to national concentration standards.
  • Need additional overviews? Extended research data available for purchase and license. ➔

670 Cities in Ohio Ranked by Mexican Population

View Methodology
American Community Survey data [1] show Mexican population in Ohio present in Columbus, Toledo, and Cleveland, 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 Ohio ranked by Mexican population count
Rank by Mexican Population
City
Mexican Population
% of Total City Population
% of Total Ohio Mexican Population
5 Year Rank Trend
1 Columbus 33,432 3.69% 14.58%
2 Toledo 17,936 6.68% 7.82%
3 Cleveland 6,073 1.65% 2.65%
4 Cincinnati 5,000 1.62% 2.18%
5 Hamilton 4,513 7.15% 1.97%
6 Painesville 3,895 19.04% 1.70%
7 Akron 3,815 2.01% 1.66%
8 3,367 2.46% 1.47%
9 3,209 4.92% 1.40%
10 2,728 6.77% 1.19%
11 2,165 12.86% 0.94%
12 2,076 13.10% 0.91%
13 1,856 3.18% 0.81%
14 1,571 3.52% 0.69%
15 1,351 10.66% 0.59%
16 1,335 3.78% 0.58%
17 1,318 3.21% 0.57%
18 1,269 6.40% 0.55%
19 1,225 4.08% 0.53%
20 1,206 7.07% 0.53%
21 1,113 2.57% 0.49%
22 1,050 5.26% 0.46%
23 995 3.11% 0.43%
24 988 3.94% 0.43%
25 916 3.70% 0.40%
26 913 6.53% 0.40%
27 883 15.90% 0.39%
28 848 1.81% 0.37%
29 843 1.95% 0.37%
30 836 1.58% 0.36%
31 832 4.64% 0.36%
32 828 2.31% 0.36%
33 788 2.19% 0.34%
34 780 1.54% 0.34%
35 777 10.52% 0.34%
36 773 1.58% 0.34%
37 761 2.87% 0.33%
38 751 1.26% 0.33%
39 723 1.73% 0.32%
39 723 11.71% 0.32%
40 718 35.47% 0.31%
41 707 1.01% 0.31%
42 696 0.87% 0.30%
43 687 2.57% 0.30%
44 669 2.70% 0.29%
45 668 4.85% 0.29%
46 647 1.13% 0.28%
47 640 1.75% 0.28%
48 623 1.24% 0.27%
49 621 3.26% 0.27%
50 591 4.54% 0.26%
51 588 1.90% 0.26%
52 563 2.96% 0.25%
53 547 1.86% 0.24%
54 536 1.53% 0.23%
55 535 1.55% 0.23%
56 529 2.97% 0.23%
57 515 17.01% 0.22%
58 510 2.54% 0.22%
59 509 1.07% 0.22%
60 476 2.62% 0.21%
61 470 1.84% 0.21%
62 467 3.52% 0.20%
63 444 1.85% 0.19%
64 443 9.98% 0.19%
65 437 4.08% 0.19%
66 434 1.20% 0.19%
67 430 1.12% 0.19%
68 429 5.23% 0.19%
68 429 3.97% 0.19%
69 417 3.80% 0.18%
70 412 9.43% 0.18%
71 404 1.70% 0.18%
72 390 1.11% 0.17%
73 384 6.49% 0.17%
74 383 2.09% 0.17%
74 383 2.14% 0.17%
75 376 1.06% 0.16%
76 374 2.23% 0.16%
77 372 4.35% 0.16%
77 372 4.45% 0.16%
78 371 13.60% 0.16%
79 369 6.15% 0.16%
79 369 1.27% 0.16%
80 363 6.99% 0.16%
81 359 2.59% 0.16%
82 351 6.20% 0.15%
82 351 1.70% 0.15%
83 349 1.50% 0.15%
84 348 0.85% 0.15%
84 348 1.93% 0.15%
85 347 2.31% 0.15%
86 345 9.82% 0.15%
87 344 1.72% 0.15%
88 343 5.21% 0.15%
89 329 0.74% 0.14%
90 323 2.52% 0.14%
91 321 3.06% 0.14%
92 320 3.24% 0.14%
93 318 2.82% 0.14%
94 317 6.75% 0.14%
95 313 1.25% 0.14%
95 313 1.20% 0.14%
96 311 3.60% 0.14%
97 304 2.41% 0.13%
98 298 9.23% 0.13%
99 296 3.42% 0.13%
100 293 1.67% 0.13%
101 290 1.17% 0.13%
102 286 4.77% 0.12%
103 284 0.56% 0.12%
103 284 1.05% 0.12%
104 280 1.53% 0.12%
105 277 4.39% 0.12%
106 273 1.90% 0.12%
107 270 1.17% 0.12%
108 266 3.07% 0.12%
109 262 0.53% 0.11%
109 262 0.67% 0.11%
110 251 16.64% 0.11%
111 248 0.53% 0.11%
112 244 1.33% 0.11%
113 241 0.52% 0.11%
114 238 1.16% 0.10%
115 235 8.84% 0.10%
116 231 1.19% 0.10%
117 230 5.24% 0.10%
118 225 3.16% 0.10%
119 222 2.89% 0.10%
120 220 1.89% 0.10%
120 220 3.38% 0.10%
120 220 2.11% 0.10%
121 217 1.94% 0.09%
121 217 2.17% 0.09%
122 216 1.27% 0.09%
123 213 4.55% 0.09%
124 210 1.91% 0.09%
124 210 1.60% 0.09%
124 210 0.86% 0.09%
125 206 1.30% 0.09%
126 202 9.03% 0.09%
127 201 0.40% 0.09%
128 197 11.28% 0.09%
129 194 2.41% 0.08%
130 193 3.07% 0.08%
131 192 5.91% 0.08%
132 191 1.36% 0.08%
133 190 5.66% 0.08%
134 189 1.46% 0.08%
134 189 0.69% 0.08%
135 188 1.07% 0.08%
136 186 4.46% 0.08%
137 184 1.22% 0.08%
138 182 0.82% 0.08%
139 177 8.80% 0.08%
140 176 11.55% 0.08%
141 175 9.24% 0.08%
142 174 0.64% 0.08%
143 172 0.90% 0.08%
143 172 0.84% 0.08%
144 169 3.55% 0.07%
145 167 0.79% 0.07%
145 167 6.61% 0.07%
146 161 6.28% 0.07%
147 157 2.31% 0.07%
147 157 0.73% 0.07%
147 157 0.90% 0.07%
148 156 2.69% 0.07%
149 154 1.53% 0.07%
150 152 0.70% 0.07%
150 152 0.66% 0.07%
150 152 1.03% 0.07%
151 151 0.47% 0.07%
152 149 2.50% 0.07%
153 147 3.68% 0.06%
154 145 7.47% 0.06%
155 144 13.94% 0.06%
155 144 1.22% 0.06%
156 140 4.34% 0.06%
157 139 0.55% 0.06%
158 138 1.31% 0.06%
159 137 3.57% 0.06%
160 136 1.09% 0.06%
161 134 2.27% 0.06%
161 134 1.93% 0.06%
161 134 0.56% 0.06%
162 133 1.00% 0.06%
163 132 16.10% 0.06%
164 130 4.20% 0.06%
164 130 1.12% 0.06%
164 130 8.13% 0.06%
165 126 1.45% 0.06%
166 124 5.29% 0.05%
166 124 16.10% 0.05%
167 123 0.36% 0.05%
168 120 6.89% 0.05%
169 117 3.77% 0.05%
169 117 6.84% 0.05%
170 113 3.01% 0.05%
171 112 7.70% 0.05%
172 111 0.33% 0.05%
173 109 10.58% 0.05%
174 108 0.43% 0.05%
174 108 3.97% 0.05%
175 107 1.69% 0.05%
176 106 16.18% 0.05%
176 106 0.95% 0.05%
177 104 16.38% 0.05%
178 103 9.93% 0.04%
178 103 0.52% 0.04%
178 103 6.41% 0.04%
179 102 1.44% 0.04%
179 102 0.74% 0.04%
179 102 3.99% 0.04%
179 102 4.43% 0.04%
180 101 0.76% 0.04%
180 101 0.52% 0.04%
181 100 1.16% 0.04%
182 98 0.72% 0.04%
182 98 2.92% 0.04%
183 97 1.37% 0.04%
183 97 7.06% 0.04%
183 97 1.92% 0.04%
184 96 2.87% 0.04%
185 95 0.90% 0.04%
185 95 0.72% 0.04%
185 95 0.89% 0.04%
186 92 2.37% 0.04%
187 90 0.87% 0.04%
187 90 1.23% 0.04%
187 90 0.37% 0.04%
188 89 1.83% 0.04%
188 89 4.25% 0.04%
188 89 0.41% 0.04%
189 88 0.75% 0.04%
189 88 2.41% 0.04%
190 87 0.88% 0.04%
191 86 0.61% 0.04%
191 86 0.64% 0.04%
192 82 0.46% 0.04%
192 82 1.25% 0.04%
192 82 2.92% 0.04%
193 81 0.61% 0.04%
193 81 3.27% 0.04%
194 80 5.54% 0.03%
195 78 6.01% 0.03%
196 77 4.86% 0.03%
197 75 1.43% 0.03%
198 74 0.46% 0.03%
198 74 0.60% 0.03%
198 74 1.19% 0.03%
198 74 0.97% 0.03%
198 74 5.41% 0.03%
199 73 3.08% 0.03%
199 73 4.41% 0.03%
199 73 0.51% 0.03%
200 72 0.94% 0.03%
200 72 0.70% 0.03%
200 72 4.07% 0.03%
200 72 1.68% 0.03%
201 71 12.98% 0.03%
201 71 1.04% 0.03%
201 71 2.53% 0.03%
202 69 1.37% 0.03%
202 69 1.32% 0.03%
203 67 1.61% 0.03%
204 66 1.43% 0.03%
204 66 3.31% 0.03%
205 65 1.24% 0.03%
206 64 0.92% 0.03%
207 63 0.54% 0.03%
208 61 4.23% 0.03%
209 59 0.61% 0.03%
209 59 0.85% 0.03%
210 58 4.83% 0.03%
211 57 10.63% 0.02%
211 57 7.21% 0.02%
211 57 2.17% 0.02%
212 55 2.93% 0.02%
212 55 0.40% 0.02%
212 55 1.45% 0.02%
213 54 1.19% 0.02%
214 53 2.94% 0.02%
214 53 5.29% 0.02%
215 52 0.55% 0.02%
215 52 0.78% 0.02%
216 51 3.78% 0.02%
217 50 3.10% 0.02%
217 50 2.68% 0.02%
217 50 3.11% 0.02%
217 50 0.37% 0.02%
217 50 1.18% 0.02%
218 49 1.84% 0.02%
218 49 4.51% 0.02%
219 48 1.91% 0.02%
219 48 5.99% 0.02%
220 47 0.75% 0.02%
220 47 3.27% 0.02%
221 46 2.79% 0.02%
221 46 0.53% 0.02%
222 45 4.19% 0.02%
222 45 0.44% 0.02%
223 44 2.32% 0.02%
223 44 0.47% 0.02%
223 44 0.24% 0.02%
224 43 3.39% 0.02%
225 42 5.87% 0.02%
225 42 0.54% 0.02%
225 42 0.55% 0.02%
225 42 1.54% 0.02%
226 41 0.99% 0.02%
227 40 0.61% 0.02%
227 40 3.54% 0.02%
227 40 1.66% 0.02%
227 40 4.48% 0.02%
228 39 0.64% 0.02%
229 38 1.01% 0.02%
229 38 1.61% 0.02%
229 38 2.39% 0.02%
230 37 1.95% 0.02%
230 37 3.09% 0.02%
230 37 0.78% 0.02%
231 36 0.28% 0.02%
231 36 0.38% 0.02%
231 36 0.15% 0.02%
231 36 2.21% 0.02%
231 36 0.75% 0.02%
231 36 2.82% 0.02%
232 35 0.99% 0.02%
232 35 3.47% 0.02%
232 35 0.39% 0.02%
233 33 3.32% 0.01%
233 33 5.50% 0.01%
233 33 0.60% 0.01%
233 33 3.07% 0.01%
233 33 5.11% 0.01%
234 32 2.35% 0.01%
234 32 0.30% 0.01%
234 32 3.03% 0.01%
234 32 3.43% 0.01%
234 32 2.41% 0.01%
235 31 0.29% 0.01%
235 31 1.44% 0.01%
235 31 1.09% 0.01%
236 30 2.16% 0.01%
236 30 0.36% 0.01%
236 30 0.44% 0.01%
236 30 1.06% 0.01%
237 29 1.44% 0.01%
238 28 0.42% 0.01%
238 28 0.14% 0.01%
238 28 0.91% 0.01%
238 28 1.43% 0.01%
238 28 1.42% 0.01%
238 28 1.09% 0.01%
238 28 3.17% 0.01%
238 28 0.34% 0.01%
239 27 0.38% 0.01%
239 27 3.89% 0.01%
239 27 2.82% 0.01%
239 27 0.69% 0.01%
239 27 6.09% 0.01%
239 27 1.66% 0.01%
239 27 2.55% 0.01%
240 26 0.12% 0.01%
240 26 0.43% 0.01%
240 26 4.40% 0.01%
240 26 0.26% 0.01%
241 25 0.89% 0.01%
241 25 1.78% 0.01%
241 25 4.11% 0.01%
241 25 1.19% 0.01%
241 25 3.01% 0.01%
242 24 0.18% 0.01%
242 24 1.28% 0.01%
242 24 1.68% 0.01%
242 24 0.64% 0.01%
242 24 0.91% 0.01%
242 24 1.29% 0.01%
242 24 1.65% 0.01%
242 24 1.69% 0.01%
242 24 4.51% 0.01%
243 23 1.59% 0.01%
243 23 1.07% 0.01%
243 23 2.66% 0.01%
243 23 0.58% 0.01%
244 22 3.38% 0.01%
244 22 1.79% 0.01%
244 22 1.51% 0.01%
244 22 2.86% 0.01%
244 22 1.35% 0.01%
245 21 0.28% 0.01%
245 21 2.34% 0.01%
245 21 2.52% 0.01%
245 21 0.57% 0.01%
245 21 0.76% 0.01%
245 21 2.05% 0.01%
246 20 0.59% 0.01%
246 20 0.97% 0.01%
246 20 0.21% 0.01%
246 20 2.48% 0.01%
246 20 1.13% 0.01%
246 20 0.88% 0.01%
247 19 3.79% 0.01%
247 19 0.85% 0.01%
247 19 1.93% 0.01%
247 19 0.51% 0.01%
247 19 1.98% 0.01%
247 19 2.17% 0.01%
248 18 0.84% 0.01%
248 18 2.84% 0.01%
248 18 0.59% 0.01%
248 18 1.32% 0.01%
248 18 1.44% 0.01%
248 18 0.50% 0.01%
248 18 3.13% 0.01%
249 17 2.16% 0.01%
249 17 2.16% 0.01%
249 17 1.90% 0.01%
249 17 0.58% 0.01%
250 16 1.10% 0.01%
250 16 0.27% 0.01%
250 16 3.08% 0.01%
250 16 0.76% 0.01%
250 16 0.35% 0.01%
251 15 0.57% 0.01%
251 15 0.11% 0.01%
251 15 0.83% 0.01%
251 15 0.11% 0.01%
251 15 2.37% 0.01%
252 14 0.13% 0.01%
252 14 0.10% 0.01%
252 14 0.40% 0.01%
252 14 1.37% 0.01%
253 13 0.07% 0.01%
253 13 1.61% 0.01%
253 13 1.69% 0.01%
253 13 0.11% 0.01%
253 13 0.57% 0.01%
253 13 1.19% 0.01%
253 13 0.86% 0.01%
253 13 0.64% 0.01%
254 12 0.44% 0.01%
254 12 1.92% 0.01%
254 12 0.84% 0.01%
254 12 1.70% 0.01%
254 12 0.88% 0.01%
254 12 0.31% 0.01%
255 11 0.39% 0.00%
255 11 1.83% 0.00%
255 11 0.25% 0.00%
255 11 1.40% 0.00%
256 10 0.26% 0.00%
256 10 0.67% 0.00%
256 10 2.35% 0.00%
256 10 0.57% 0.00%
256 10 0.19% 0.00%
256 10 2.14% 0.00%
256 10 1.63% 0.00%
256 10 0.59% 0.00%
256 10 0.54% 0.00%
256 10 0.61% 0.00%
256 10 0.18% 0.00%
256 10 1.11% 0.00%
257 9 0.12% 0.00%
257 9 1.07% 0.00%
257 9 0.07% 0.00%
258 8 0.42% 0.00%
258 8 0.37% 0.00%
258 8 1.40% 0.00%
258 8 0.23% 0.00%
258 8 1.18% 0.00%
258 8 0.32% 0.00%
258 8 0.38% 0.00%
258 8 0.31% 0.00%
259 7 0.65% 0.00%
259 7 0.11% 0.00%
259 7 0.70% 0.00%
259 7 1.29% 0.00%
260 6 0.56% 0.00%
260 6 0.41% 0.00%
260 6 0.36% 0.00%
260 6 0.18% 0.00%
260 6 0.34% 0.00%
260 6 0.22% 0.00%
260 6 0.31% 0.00%
260 6 0.29% 0.00%
260 6 0.58% 0.00%
261 5 0.31% 0.00%
261 5 0.06% 0.00%
261 5 0.32% 0.00%
261 5 0.64% 0.00%
261 5 0.95% 0.00%
261 5 0.53% 0.00%
261 5 0.18% 0.00%
261 5 0.53% 0.00%
261 5 0.60% 0.00%
261 5 1.27% 0.00%
261 5 0.71% 0.00%
261 5 0.38% 0.00%
262 4 0.63% 0.00%
262 4 0.46% 0.00%
262 4 0.59% 0.00%
262 4 0.29% 0.00%
262 4 0.12% 0.00%
262 4 0.12% 0.00%
262 4 0.08% 0.00%
262 4 0.66% 0.00%
263 3 0.29% 0.00%
263 3 0.39% 0.00%
263 3 0.15% 0.00%
263 3 0.45% 0.00%
263 3 0.59% 0.00%
263 3 0.48% 0.00%
263 3 0.21% 0.00%
263 3 0.13% 0.00%
263 3 0.35% 0.00%
263 3 0.34% 0.00%
263 3 0.30% 0.00%
264 2 0.18% 0.00%
264 2 0.10% 0.00%
264 2 0.14% 0.00%
264 2 0.16% 0.00%
264 2 0.17% 0.00%
264 2 0.19% 0.00%
264 2 0.10% 0.00%
264 2 0.25% 0.00%
264 2 0.25% 0.00%
264 2 0.10% 0.00%
264 2 0.19% 0.00%
264 2 0.40% 0.00%
265 1 0.12% 0.00%
265 1 0.06% 0.00%
265 1 0.14% 0.00%
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 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 Ohio by their Mexican population, using the most recent ACS data available.

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

How We Ranked the Data

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

Sources

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