Peruvian Population in United States by County : 2025 Ranking & Insights

According to the most recent U.S. Census data, the Peruvian population in the United States stands at 750,107. Miami-Dade County leads with 42,885 residents, followed by Los Angeles County (40,723) and Broward County (33,599). Many other counties also report established Peruvian populations. This ranking explores how Peruvian communities are distributed across U.S. counties, highlighting both high-density hubs and emerging areas of growth.

Top 5 counties with the largest Peruvian population in United States

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  • 1
    Miami-Dade County
    Peruvian population in Miami-Dade County is 42,885
    1.60% of Miami-Dade County population is Peruvian
  • 2
    Los Angeles County
    Peruvian population in Los Angeles County is 40,723
    0.41% of Los Angeles County population is Peruvian
  • 3
    Broward County
    Peruvian population in Broward County is 33,599
    1.73% of Broward County population is Peruvian
  • 4
    Passaic County
    Peruvian population in Passaic County is 22,198
    4.28% of Passaic County population is Peruvian
  • 5
    Queens County
    Peruvian population in Queens County is 21,498
    0.92% of Queens County population is Peruvian

U.S. Counties by Peruvian Population : National Rankings

View Methodology
American Community Survey data [1] show significant Peruvian populations in leading counties, including Miami-Dade County, Los Angeles County, Broward County, and Passaic County, while numerous other counties recorded minimal or zero residents identified as Americans of Peruvian descent. The table below provides broader statistics, including total population figures, density measures, and demographic distributions based on current ACS data for all counties included in this analysis*.
counties in United States ranked by Peruvian population count
Rank by Peruvian Population
County
Peruvian Population
% of Total County Population
% of Total United States Peruvian Population
5 Year Rank Trend
1 Miami-Dade County 42,885 1.60% 5.72%
2 Los Angeles County 40,723 0.41% 5.43%
3 Broward County 33,599 1.73% 4.48%
4 Passaic County 22,198 4.28% 2.96%
5 Queens County 21,498 0.92% 2.87%
6 Fairfax County 15,354 1.34% 2.05%
7 Montgomery County 14,764 1.40% 1.97%
8 12,904 1.82% 1.72%
9 11,751 1.18% 1.57%
10 11,384 0.76% 1.52%
11 11,116 0.73% 1.48%
12 10,831 1.13% 1.44%
13 10,574 0.22% 1.41%
14 10,240 0.32% 1.37%
15 10,193 0.73% 1.36%
16 9,605 1.12% 1.28%
17 9,440 1.65% 1.26%
18 9,096 0.18% 1.21%
19 8,943 1.04% 1.19%
20 8,928 1.84% 1.19%
21 8,562 0.59% 1.14%
22 8,233 0.71% 1.10%
23 6,959 0.26% 0.93%
24 6,724 0.45% 0.90%
25 6,637 0.20% 0.88%
26 6,635 0.56% 0.88%
27 6,629 0.29% 0.88%
28 6,218 0.28% 0.83%
29 6,190 1.45% 0.83%
30 5,774 0.30% 0.77%
31 5,545 0.23% 0.74%
32 5,459 0.33% 0.73%
33 5,215 0.70% 0.70%
34 5,011 0.11% 0.67%
35 4,940 0.30% 0.66%
36 4,882 0.71% 0.65%
37 4,829 0.34% 0.64%
38 4,545 1.12% 0.61%
39 4,178 0.18% 0.56%
40 4,148 0.50% 0.55%
41 4,029 0.15% 0.54%
42 3,766 0.39% 0.50%
43 3,387 0.16% 0.45%
44 3,315 0.65% 0.44%
45 3,260 0.38% 0.43%
46 3,168 0.49% 0.42%
47 3,133 0.19% 0.42%
48 3,120 0.39% 0.42%
49 3,055 0.47% 0.41%
50 2,996 0.87% 0.40%
51 2,954 0.19% 0.39%
52 2,855 0.25% 0.38%
53 2,788 0.29% 0.37%
54 2,626 0.27% 0.35%
55 2,471 0.52% 0.33%
56 2,439 0.41% 0.33%
57 2,404 0.69% 0.32%
58 2,395 0.36% 0.32%
59 2,358 0.12% 0.31%
60 2,353 0.31% 0.31%
61 2,283 0.17% 0.30%
62 2,267 0.35% 0.30%
63 2,214 0.28% 0.30%
64 2,212 0.45% 0.29%
65 2,194 0.26% 0.29%
66 2,165 0.56% 0.29%
67 2,141 0.23% 0.29%
68 2,109 0.19% 0.28%
69 2,097 0.32% 0.28%
70 2,076 0.18% 0.28%
71 2,022 0.24% 0.27%
72 2,019 0.22% 0.27%
73 1,955 0.70% 0.26%
74 1,889 0.32% 0.25%
74 1,889 0.42% 0.25%
75 1,828 0.18% 0.24%
75 1,828 0.17% 0.24%
76 1,776 0.48% 0.24%
77 1,654 0.41% 0.22%
78 1,648 0.20% 0.22%
79 1,627 0.42% 0.22%
80 1,602 0.10% 0.21%
81 1,576 0.20% 0.21%
82 1,571 0.12% 0.21%
83 1,564 0.20% 0.21%
84 1,550 0.56% 0.21%
85 1,544 0.60% 0.21%
86 1,523 0.21% 0.20%
87 1,452 0.20% 0.19%
88 1,433 0.18% 0.19%
89 1,426 0.48% 0.19%
90 1,380 0.31% 0.18%
91 1,353 0.31% 0.18%
92 1,336 0.24% 0.18%
93 1,261 0.17% 0.17%
94 1,242 0.27% 0.17%
95 1,194 0.13% 0.16%
96 1,188 0.15% 0.16%
97 1,168 0.11% 0.16%
98 1,167 0.15% 0.16%
99 1,163 0.28% 0.16%
100 1,149 0.19% 0.15%
101 1,138 0.17% 0.15%
102 1,131 0.33% 0.15%
103 1,125 0.27% 0.15%
104 1,118 0.09% 0.15%
105 1,111 0.14% 0.15%
106 1,089 0.65% 0.15%
107 1,065 0.34% 0.14%
108 1,043 0.12% 0.14%
109 1,042 0.18% 0.14%
110 1,037 0.11% 0.14%
111 993 0.22% 0.13%
112 916 0.17% 0.12%
112 916 0.09% 0.12%
113 911 0.16% 0.12%
114 908 0.58% 0.12%
115 904 0.10% 0.12%
116 889 0.07% 0.12%
117 860 0.78% 0.11%
118 859 0.07% 0.11%
118 859 0.17% 0.11%
119 853 0.09% 0.11%
120 849 0.23% 0.11%
121 845 3.45% 0.11%
122 840 0.21% 0.11%
123 831 0.14% 0.11%
124 809 0.11% 0.11%
125 802 0.14% 0.11%
126 799 0.16% 0.11%
127 779 0.32% 0.10%
128 771 0.06% 0.10%
129 765 0.18% 0.10%
129 765 0.78% 0.10%
130 740 0.12% 0.10%
131 732 0.07% 0.10%
132 727 0.13% 0.10%
133 726 0.20% 0.10%
134 718 0.15% 0.10%
135 715 0.10% 0.10%
136 709 0.13% 0.09%
136 709 0.11% 0.09%
137 705 0.24% 0.09%
138 701 0.21% 0.09%
139 697 0.07% 0.09%
140 683 0.10% 0.09%
141 678 0.22% 0.09%
142 674 0.13% 0.09%
143 669 0.15% 0.09%
144 655 0.10% 0.09%
145 649 0.19% 0.09%
146 646 0.36% 0.09%
147 645 0.15% 0.09%
148 638 0.08% 0.09%
149 637 0.28% 0.08%
150 623 0.16% 0.08%
151 615 0.11% 0.08%
152 612 0.42% 0.08%
153 610 0.20% 0.08%
154 593 0.12% 0.08%
155 587 0.09% 0.08%
156 583 0.16% 0.08%
157 575 0.20% 0.08%
158 571 0.16% 0.08%
159 569 0.15% 0.08%
160 563 0.14% 0.08%
161 562 0.10% 0.07%
162 561 0.06% 0.07%
163 557 0.13% 0.07%
164 551 0.21% 0.07%
165 544 0.14% 0.07%
166 542 0.42% 0.07%
167 538 0.25% 0.07%
168 536 0.25% 0.07%
169 530 0.08% 0.07%
170 529 0.16% 0.07%
171 523 0.20% 0.07%
172 516 0.44% 0.07%
173 515 0.38% 0.07%
174 513 0.10% 0.07%
175 509 0.11% 0.07%
176 505 0.27% 0.07%
177 504 0.24% 0.07%
178 498 0.13% 0.07%
179 496 0.13% 0.07%
180 494 0.06% 0.07%
181 493 0.09% 0.07%
181 493 0.07% 0.07%
182 485 0.05% 0.06%
183 483 0.09% 0.06%
184 482 0.22% 0.06%
185 480 0.09% 0.06%
185 480 0.16% 0.06%
186 475 0.15% 0.06%
187 474 0.27% 0.06%
188 471 0.85% 0.06%
189 470 0.03% 0.06%
190 469 0.16% 0.06%
190 469 0.09% 0.06%
191 465 0.32% 0.06%
191 465 0.05% 0.06%
192 462 0.07% 0.06%
193 460 0.06% 0.06%
194 455 0.11% 0.06%
195 449 0.16% 0.06%
196 442 2.08% 0.06%
196 442 0.14% 0.06%
197 437 0.20% 0.06%
198 434 0.08% 0.06%
199 423 0.09% 0.06%
200 421 0.17% 0.06%
201 412 0.18% 0.05%
202 403 0.10% 0.05%
203 401 0.17% 0.05%
204 390 2.30% 0.05%
205 387 0.15% 0.05%
206 385 0.21% 0.05%
207 377 0.17% 0.05%
208 369 0.27% 0.05%
209 368 0.15% 0.05%
210 363 0.07% 0.05%
211 362 0.10% 0.05%
212 360 0.18% 0.05%
212 360 0.13% 0.05%
213 357 0.29% 0.05%
214 352 0.82% 0.05%
214 352 0.18% 0.05%
215 348 1.42% 0.05%
216 344 0.20% 0.05%
217 343 0.09% 0.05%
218 331 0.10% 0.04%
218 331 0.09% 0.04%
219 323 0.12% 0.04%
220 322 0.08% 0.04%
221 321 0.34% 0.04%
221 321 0.20% 0.04%
221 321 0.09% 0.04%
222 319 0.43% 0.04%
223 318 0.06% 0.04%
224 316 0.33% 0.04%
225 314 0.18% 0.04%
226 311 0.10% 0.04%
227 306 0.81% 0.04%
227 306 0.12% 0.04%
228 302 0.18% 0.04%
229 301 0.15% 0.04%
229 301 0.07% 0.04%
229 301 0.06% 0.04%
230 297 0.14% 0.04%
231 296 0.37% 0.04%
232 295 0.08% 0.04%
232 295 0.05% 0.04%
232 295 0.13% 0.04%
233 293 0.18% 0.04%
234 292 0.10% 0.04%
235 287 0.08% 0.04%
236 284 0.19% 0.04%
237 283 0.19% 0.04%
238 281 0.27% 0.04%
239 280 0.15% 0.04%
240 278 0.14% 0.04%
241 274 0.06% 0.04%
241 274 0.14% 0.04%
242 273 0.12% 0.04%
242 273 0.14% 0.04%
243 270 0.50% 0.04%
244 269 0.21% 0.04%
244 269 0.08% 0.04%
245 268 0.17% 0.04%
246 267 0.03% 0.04%
247 265 0.06% 0.04%
248 262 0.06% 0.03%
249 260 0.10% 0.03%
249 260 0.09% 0.03%
250 259 0.14% 0.03%
250 259 0.11% 0.03%
251 255 0.04% 0.03%
252 252 0.11% 0.03%
253 250 0.58% 0.03%
254 248 0.66% 0.03%
255 247 0.17% 0.03%
256 239 0.27% 0.03%
257 238 0.10% 0.03%
257 238 0.25% 0.03%
257 238 1.99% 0.03%
257 238 0.23% 0.03%
258 232 0.13% 0.03%
258 232 0.11% 0.03%
259 231 0.08% 0.03%
260 230 0.09% 0.03%
260 230 0.15% 0.03%
260 230 0.24% 0.03%
261 226 0.05% 0.03%
261 226 0.08% 0.03%
262 222 0.08% 0.03%
262 222 0.13% 0.03%
263 220 0.07% 0.03%
264 219 0.11% 0.03%
264 219 0.08% 0.03%
265 218 0.12% 0.03%
266 215 0.04% 0.03%
266 215 0.12% 0.03%
267 212 0.17% 0.03%
267 212 0.07% 0.03%
268 211 0.14% 0.03%
268 211 0.15% 0.03%
268 211 0.10% 0.03%
268 211 0.19% 0.03%
268 211 0.05% 0.03%
269 210 0.09% 0.03%
270 209 0.35% 0.03%
271 208 0.10% 0.03%
272 207 0.12% 0.03%
273 206 0.08% 0.03%
273 206 0.07% 0.03%
274 202 0.21% 0.03%
275 201 0.10% 0.03%
276 199 0.23% 0.03%
277 194 0.43% 0.03%
278 190 0.14% 0.03%
278 190 1.30% 0.03%
278 190 0.50% 0.03%
279 189 0.19% 0.03%
280 188 0.09% 0.03%
281 185 0.06% 0.02%
282 184 0.03% 0.02%
282 184 0.07% 0.02%
283 183 0.71% 0.02%
284 182 0.09% 0.02%
284 182 0.08% 0.02%
285 180 0.09% 0.02%
286 179 0.35% 0.02%
287 178 0.36% 0.02%
287 178 0.25% 0.02%
287 178 0.76% 0.02%
288 177 0.11% 0.02%
289 176 0.11% 0.02%
290 175 0.08% 0.02%
291 174 0.22% 0.02%
292 173 0.04% 0.02%
292 173 0.42% 0.02%
293 172 0.03% 0.02%
294 171 0.09% 0.02%
295 170 0.21% 0.02%
296 167 0.08% 0.02%
296 167 0.06% 0.02%
296 167 0.04% 0.02%
297 166 0.27% 0.02%
298 165 0.11% 0.02%
298 165 0.18% 0.02%
299 164 0.40% 0.02%
299 164 0.06% 0.02%
299 164 0.09% 0.02%
300 162 0.10% 0.02%
300 162 0.13% 0.02%
300 162 0.06% 0.02%
301 160 0.15% 0.02%
301 160 0.17% 0.02%
301 160 0.20% 0.02%
302 158 0.04% 0.02%
302 158 0.14% 0.02%
303 157 0.10% 0.02%
303 157 0.05% 0.02%
304 154 0.37% 0.02%
305 153 1.41% 0.02%
306 151 0.02% 0.02%
306 151 0.22% 0.02%
306 151 0.67% 0.02%
306 151 0.23% 0.02%
307 150 0.10% 0.02%
307 150 0.04% 0.02%
308 149 0.27% 0.02%
309 148 0.25% 0.02%
310 146 0.09% 0.02%
310 146 0.12% 0.02%
310 146 0.09% 0.02%
310 146 0.09% 0.02%
310 146 0.05% 0.02%
311 145 0.03% 0.02%
311 145 1.01% 0.02%
312 144 0.09% 0.02%
313 143 0.13% 0.02%
313 143 0.06% 0.02%
314 142 0.03% 0.02%
314 142 0.08% 0.02%
315 141 0.24% 0.02%
316 140 0.07% 0.02%
316 140 0.10% 0.02%
317 139 0.08% 0.02%
317 139 0.05% 0.02%
318 137 0.07% 0.02%
319 136 0.08% 0.02%
319 136 0.37% 0.02%
320 135 0.42% 0.02%
320 135 0.15% 0.02%
321 134 0.15% 0.02%
322 133 0.07% 0.02%
323 132 0.06% 0.02%
323 132 0.29% 0.02%
324 131 0.10% 0.02%
324 131 0.09% 0.02%
324 131 0.33% 0.02%
325 130 0.34% 0.02%
325 130 0.14% 0.02%
326 129 0.06% 0.02%
326 129 0.03% 0.02%
327 127 0.10% 0.02%
327 127 0.13% 0.02%
327 127 0.05% 0.02%
327 127 0.10% 0.02%
327 127 0.07% 0.02%
328 126 0.16% 0.02%
328 126 0.05% 0.02%
328 126 0.13% 0.02%
329 125 0.05% 0.02%
330 123 0.27% 0.02%
330 123 0.12% 0.02%
330 123 1.22% 0.02%
331 122 0.08% 0.02%
331 122 0.07% 0.02%
332 121 0.82% 0.02%
332 121 0.06% 0.02%
332 121 0.04% 0.02%
332 121 0.17% 0.02%
332 121 0.05% 0.02%
333 120 0.14% 0.02%
334 119 0.06% 0.02%
334 119 0.24% 0.02%
335 118 0.03% 0.02%
336 117 0.56% 0.02%
336 117 0.20% 0.02%
336 117 0.83% 0.02%
337 116 0.28% 0.02%
337 116 0.09% 0.02%
338 115 0.07% 0.02%
338 115 0.05% 0.02%
338 115 0.11% 0.02%
339 114 0.10% 0.02%
339 114 0.19% 0.02%
339 114 0.57% 0.02%
339 114 0.42% 0.02%
339 114 0.39% 0.02%
340 112 0.23% 0.01%
340 112 0.06% 0.01%
340 112 0.17% 0.01%
341 111 0.07% 0.01%
342 110 0.12% 0.01%
343 109 0.18% 0.01%
343 109 0.17% 0.01%
344 108 0.13% 0.01%
344 108 0.05% 0.01%
344 108 0.10% 0.01%
344 108 0.08% 0.01%
345 106 0.05% 0.01%
345 106 0.16% 0.01%
345 106 0.38% 0.01%
346 105 0.10% 0.01%
347 104 0.09% 0.01%
347 104 1.07% 0.01%
348 103 0.05% 0.01%
349 102 0.07% 0.01%
349 102 0.39% 0.01%
349 102 0.15% 0.01%
350 101 0.21% 0.01%
350 101 0.10% 0.01%
351 100 0.03% 0.01%
352 99 0.06% 0.01%
352 99 0.03% 0.01%
352 99 0.10% 0.01%
352 99 0.04% 0.01%
353 98 0.04% 0.01%
353 98 0.07% 0.01%
353 98 0.04% 0.01%
353 98 0.06% 0.01%
353 98 0.05% 0.01%
354 97 0.33% 0.01%
355 96 0.05% 0.01%
355 96 0.34% 0.01%
355 96 0.21% 0.01%
355 96 0.53% 0.01%
356 95 1.42% 0.01%
356 95 0.14% 0.01%
357 94 0.13% 0.01%
357 94 0.06% 0.01%
358 93 0.04% 0.01%
358 93 0.17% 0.01%
358 93 0.07% 0.01%
358 93 0.10% 0.01%
358 93 0.06% 0.01%
358 93 0.10% 0.01%
358 93 0.07% 0.01%
359 92 0.03% 0.01%
359 92 0.04% 0.01%
360 91 0.18% 0.01%
360 91 0.04% 0.01%
360 91 0.03% 0.01%
360 91 0.06% 0.01%
360 91 0.03% 0.01%
361 90 0.11% 0.01%
362 88 0.46% 0.01%
362 88 0.10% 0.01%
362 88 0.32% 0.01%
363 87 0.08% 0.01%
363 87 0.66% 0.01%
363 87 0.02% 0.01%
364 86 0.17% 0.01%
364 86 0.02% 0.01%
364 86 0.20% 0.01%
365 85 0.08% 0.01%
366 84 0.07% 0.01%
367 83 0.22% 0.01%
367 83 0.07% 0.01%
367 83 0.13% 0.01%
367 83 0.21% 0.01%
367 83 0.06% 0.01%
367 83 0.04% 0.01%
367 83 0.54% 0.01%
368 82 0.16% 0.01%
368 82 0.12% 0.01%
368 82 0.14% 0.01%
368 82 0.09% 0.01%
368 82 0.08% 0.01%
369 81 0.06% 0.01%
369 81 0.22% 0.01%
369 81 0.06% 0.01%
370 80 0.04% 0.01%
370 80 0.13% 0.01%
370 80 0.03% 0.01%
371 79 0.13% 0.01%
371 79 0.26% 0.01%
371 79 0.03% 0.01%
371 79 0.04% 0.01%
372 78 0.10% 0.01%
372 78 0.08% 0.01%
373 77 0.08% 0.01%
374 76 0.14% 0.01%
374 76 0.05% 0.01%
374 76 0.40% 0.01%
374 76 0.20% 0.01%
375 75 0.07% 0.01%
375 75 0.06% 0.01%
376 74 0.04% 0.01%
376 74 0.06% 0.01%
376 74 0.10% 0.01%
377 73 0.08% 0.01%
377 73 0.59% 0.01%
377 73 0.24% 0.01%
377 73 0.21% 0.01%
378 72 0.09% 0.01%
379 71 0.04% 0.01%
379 71 0.19% 0.01%
379 71 0.04% 0.01%
379 71 0.13% 0.01%
380 70 0.55% 0.01%
380 70 0.02% 0.01%
380 70 0.09% 0.01%
380 70 0.13% 0.01%
380 70 0.06% 0.01%
381 69 0.29% 0.01%
381 69 0.91% 0.01%
382 68 0.03% 0.01%
382 68 0.04% 0.01%
383 67 0.07% 0.01%
383 67 0.17% 0.01%
384 66 0.05% 0.01%
384 66 0.22% 0.01%
384 66 0.15% 0.01%
384 66 0.09% 0.01%
385 65 0.08% 0.01%
385 65 0.12% 0.01%
385 65 0.03% 0.01%
385 65 0.12% 0.01%
386 64 0.34% 0.01%
386 64 0.05% 0.01%
386 64 0.19% 0.01%
386 64 0.25% 0.01%
386 64 0.04% 0.01%
387 63 0.19% 0.01%
387 63 0.14% 0.01%
388 62 0.08% 0.01%
388 62 0.06% 0.01%
388 62 0.12% 0.01%
388 62 0.04% 0.01%
388 62 0.03% 0.01%
388 62 0.02% 0.01%
388 62 0.06% 0.01%
388 62 0.05% 0.01%
389 61 0.03% 0.01%
390 60 0.38% 0.01%
390 60 0.07% 0.01%
390 60 0.07% 0.01%
390 60 0.05% 0.01%
391 59 0.20% 0.01%
391 59 0.05% 0.01%
391 59 0.15% 0.01%
392 58 0.08% 0.01%
392 58 0.06% 0.01%
392 58 0.10% 0.01%
392 58 0.09% 0.01%
392 58 0.07% 0.01%
393 57 0.13% 0.01%
393 57 0.14% 0.01%
393 57 0.03% 0.01%
393 57 0.10% 0.01%
393 57 0.07% 0.01%
393 57 0.04% 0.01%
394 56 0.12% 0.01%
394 56 0.02% 0.01%
395 55 0.05% 0.01%
395 55 0.05% 0.01%
395 55 0.41% 0.01%
395 55 0.08% 0.01%
395 55 0.04% 0.01%
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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 county in United States by their Peruvian population, using the most recent ACS data available.

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

How We Ranked the Data

This ranking is based on the total number of people who identified as Peruvian alone or in combination in county. To provide additional context, we’ve also included two key percentages:
  1. % of Total County Population – This shows what percentage of the total state population identifies as Peruvian .
  2. % of Total United States Peruvian Population – This tells us how much of the entire U.S. Peruvian 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 Peruvian 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.
  • County that don’t have any reported Peruvian 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 Peruvian populations are most concentrated while keeping the numbers easy to understand.

Sources

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