Chinese Population in New York by City : 2025 Ranking & Insights

The Chinese population in New York is reported as 774,426, with the largest concentrations in cities like New York (618,838), Queens borough (257,214), and Brooklyn borough (208,694). 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 Chinese communities take shape across New York and how these patterns compare with other states across the nation.

Top 5 cities with the largest Chinese population in New York

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  • 1
    New York
    Chinese population in New York is 618,838
    7.27% of New York population is Chinese
  • 2
    Queens borough
    Chinese population in Queens borough is 257,214
    11.04% of Queens borough population is Chinese
  • 3
    Brooklyn borough
    Chinese population in Brooklyn borough is 208,694
    7.89% of Brooklyn borough population is Chinese
  • 4
    Manhattan borough
    Chinese population in Manhattan borough is 109,373
    6.72% of Manhattan borough population is Chinese
  • 5
    Staten Island borough
    Chinese population in Staten Island borough is 35,345
    7.17% of Staten Island borough population is Chinese

Overview of Chinese population in New York

  • Population Count and Percentage: American Community Survey documents New York with 774,426 Chinese residents (3.9% of 19.9 million total state population), ranking the state at the 97th percentile nationally among U.S. jurisdictions for Chinese demographic representation.
  • Comparison to State and National Averages: U.S. Census data records indicate New York's Chinese population of 3.9% exceeds the national average of 1.6% by a factor of 2.4.
  • Share of Total National Population: Official American Community Survey data indicates New York's 774,426 Chinese residents constitute 14.4% of the nation's total Chinese population of 5.4 million, placing the state among jurisdictions with the highest demographic concentrations, with 14.4% of all American Chinese Americans residing within state boundaries.
  • Population Density per Square Mile: U.S. Census Bureau's American Community Survey data shows New York maintains 16.4 Chinese Americans per square mile, representing more than ten times the national average of 1.5 per square mile, placing the state among jurisdictions with the highest demographic concentrations nationally.
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1,430 Cities in New York Ranked by Chinese Population

View Methodology
American Community Survey data [1] show Chinese population in New York present in New York, Queens borough, and Brooklyn 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 Chinese population count
Rank by Chinese Population
City
Chinese Population
% of Total City Population
% of Total New York Chinese Population
5 Year Rank Trend
1 New York 618,838 7.27% 79.91%
2 Queens borough 257,214 11.04% 33.21%
3 Brooklyn borough 208,694 7.89% 26.95%
4 Manhattan borough 109,373 6.72% 14.12%
5 Staten Island borough 35,345 7.17% 4.56%
6 North Hempstead town 21,719 9.18% 2.80%
7 Hempstead town 14,878 1.89% 1.92%
8 14,498 4.84% 1.87%
9 8,389 1.72% 1.08%
10 8,212 0.58% 1.06%
11 4,544 3.49% 0.59%
12 3,674 1.80% 0.47%
13 3,502 2.40% 0.45%
14 2,572 2.74% 0.33%
15 2,333 7.34% 0.30%
16 2,155 4.57% 0.28%
17 2,148 0.99% 0.28%
18 2,089 0.62% 0.27%
19 2,038 0.74% 0.26%
20 1,983 1.71% 0.26%
21 1,935 2.24% 0.25%
22 1,916 0.91% 0.25%
23 1,846 6.06% 0.24%
24 1,769 2.96% 0.23%
25 1,731 9.61% 0.22%
26 1,652 1.93% 0.21%
27 1,540 1.54% 0.20%
28 1,512 7.47% 0.20%
29 1,478 0.71% 0.19%
30 1,285 6.10% 0.17%
31 1,207 10.91% 0.16%
32 1,168 41.46% 0.15%
33 1,152 2.86% 0.15%
34 1,116 2.46% 0.14%
35 1,060 0.71% 0.14%
36 1,042 3.43% 0.13%
37 1,033 2.13% 0.13%
38 1,023 3.00% 0.13%
39 988 9.68% 0.13%
40 941 1.99% 0.12%
41 909 2.39% 0.12%
42 899 4.99% 0.12%
43 890 32.55% 0.11%
44 881 2.40% 0.11%
45 875 5.46% 0.11%
46 865 1.06% 0.11%
47 859 1.68% 0.11%
48 821 1.83% 0.11%
49 815 10.86% 0.11%
50 801 14.78% 0.10%
51 774 1.97% 0.10%
52 763 6.51% 0.10%
53 694 18.09% 0.09%
54 669 2.93% 0.09%
55 656 1.78% 0.08%
56 641 1.31% 0.08%
57 640 2.30% 0.08%
58 570 0.83% 0.07%
59 533 2.07% 0.07%
60 529 1.69% 0.07%
61 526 1.16% 0.07%
62 523 14.96% 0.07%
63 518 0.54% 0.07%
64 509 0.92% 0.07%
65 501 1.78% 0.06%
66 500 2.98% 0.06%
66 500 1.19% 0.06%
67 494 1.05% 0.06%
68 493 2.18% 0.06%
69 487 1.39% 0.06%
70 486 1.40% 0.06%
71 481 2.06% 0.06%
72 480 1.64% 0.06%
73 478 6.37% 0.06%
74 473 1.66% 0.06%
75 468 0.65% 0.06%
76 467 0.72% 0.06%
77 466 1.65% 0.06%
78 462 5.77% 0.06%
78 462 15.57% 0.06%
79 458 40.53% 0.06%
80 455 0.66% 0.06%
81 451 1.46% 0.06%
82 438 0.61% 0.06%
83 431 1.60% 0.06%
84 428 1.46% 0.06%
85 426 2.60% 0.06%
86 423 8.83% 0.05%
87 418 14.96% 0.05%
88 413 3.74% 0.05%
88 413 1.24% 0.05%
89 410 28.04% 0.05%
90 402 10.01% 0.05%
91 401 2.21% 0.05%
92 387 2.33% 0.05%
93 377 2.18% 0.05%
94 376 0.75% 0.05%
95 369 3.02% 0.05%
96 365 0.61% 0.05%
97 354 1.37% 0.05%
98 345 2.08% 0.04%
99 341 2.99% 0.04%
100 340 1.60% 0.04%
101 334 2.12% 0.04%
102 319 1.02% 0.04%
103 318 4.39% 0.04%
104 309 4.21% 0.04%
105 306 2.36% 0.04%
106 305 4.66% 0.04%
107 295 4.54% 0.04%
108 292 1.80% 0.04%
109 291 0.60% 0.04%
110 290 2.25% 0.04%
111 284 0.94% 0.04%
112 283 1.43% 0.04%
113 276 0.93% 0.04%
114 273 2.71% 0.04%
115 272 2.39% 0.04%
116 262 2.23% 0.03%
117 259 2.01% 0.03%
117 259 0.81% 0.03%
117 259 0.81% 0.03%
118 258 3.69% 0.03%
119 257 0.99% 0.03%
120 256 0.82% 0.03%
121 250 1.26% 0.03%
122 249 3.03% 0.03%
123 246 1.70% 0.03%
124 244 1.11% 0.03%
125 242 1.14% 0.03%
126 241 0.27% 0.03%
127 233 2.68% 0.03%
128 232 1.15% 0.03%
129 230 0.97% 0.03%
130 229 0.72% 0.03%
131 225 0.85% 0.03%
132 223 7.55% 0.03%
133 221 0.65% 0.03%
134 220 2.94% 0.03%
134 220 2.29% 0.03%
135 219 1.71% 0.03%
136 217 0.74% 0.03%
137 216 1.39% 0.03%
138 214 4.67% 0.03%
139 212 4.91% 0.03%
139 212 2.14% 0.03%
139 212 0.64% 0.03%
140 211 3.04% 0.03%
141 206 5.20% 0.03%
142 205 1.37% 0.03%
143 203 1.34% 0.03%
144 201 1.33% 0.03%
145 200 6.33% 0.03%
146 199 1.61% 0.03%
147 197 1.06% 0.03%
147 197 3.63% 0.03%
148 192 0.53% 0.02%
149 188 0.31% 0.02%
150 186 1.07% 0.02%
150 186 2.57% 0.02%
151 185 3.14% 0.02%
151 185 10.26% 0.02%
152 181 1.20% 0.02%
153 179 0.71% 0.02%
154 176 2.28% 0.02%
155 175 1.92% 0.02%
156 173 1.26% 0.02%
157 171 3.45% 0.02%
158 170 1.35% 0.02%
159 166 1.18% 0.02%
159 166 6.32% 0.02%
159 166 2.07% 0.02%
160 165 2.52% 0.02%
160 165 1.48% 0.02%
161 163 0.42% 0.02%
161 163 1.26% 0.02%
162 162 1.13% 0.02%
163 161 3.22% 0.02%
164 160 0.62% 0.02%
165 159 2.19% 0.02%
166 158 0.83% 0.02%
167 155 1.83% 0.02%
168 154 5.23% 0.02%
169 149 1.23% 0.02%
169 149 1.57% 0.02%
170 148 2.69% 0.02%
171 147 0.64% 0.02%
171 147 1.17% 0.02%
172 146 1.20% 0.02%
172 146 4.91% 0.02%
173 145 0.44% 0.02%
173 145 1.70% 0.02%
174 144 9.88% 0.02%
174 144 3.82% 0.02%
175 143 0.70% 0.02%
176 142 2.52% 0.02%
176 142 3.29% 0.02%
177 141 0.32% 0.02%
178 138 0.81% 0.02%
179 136 19.94% 0.02%
179 136 2.05% 0.02%
180 135 0.45% 0.02%
180 135 1.22% 0.02%
181 134 5.84% 0.02%
182 133 0.78% 0.02%
183 132 1.96% 0.02%
184 131 2.80% 0.02%
184 131 1.63% 0.02%
185 130 1.54% 0.02%
185 130 13.63% 0.02%
186 129 1.83% 0.02%
187 127 2.47% 0.02%
188 126 2.12% 0.02%
189 125 6.23% 0.02%
189 125 3.40% 0.02%
189 125 2.00% 0.02%
190 123 0.32% 0.02%
190 123 4.06% 0.02%
191 121 2.61% 0.02%
191 121 0.80% 0.02%
191 121 0.81% 0.02%
192 119 3.16% 0.02%
192 119 6.11% 0.02%
193 118 4.33% 0.02%
194 117 12.50% 0.02%
195 116 0.47% 0.02%
196 115 1.43% 0.01%
197 114 1.06% 0.01%
197 114 0.86% 0.01%
198 112 0.96% 0.01%
198 112 1.52% 0.01%
199 111 0.56% 0.01%
199 111 1.91% 0.01%
199 111 0.44% 0.01%
200 109 3.50% 0.01%
200 109 1.75% 0.01%
200 109 1.94% 0.01%
200 109 0.33% 0.01%
201 108 1.40% 0.01%
201 108 1.05% 0.01%
201 108 1.10% 0.01%
201 108 5.23% 0.01%
202 107 1.48% 0.01%
202 107 0.18% 0.01%
203 106 2.05% 0.01%
203 106 2.39% 0.01%
203 106 3.65% 0.01%
203 106 1.00% 0.01%
204 105 0.93% 0.01%
205 104 1.84% 0.01%
206 103 0.49% 0.01%
207 102 1.10% 0.01%
208 101 2.50% 0.01%
208 101 1.58% 0.01%
209 100 0.55% 0.01%
210 99 3.40% 0.01%
210 99 0.31% 0.01%
211 98 1.17% 0.01%
212 97 16.09% 0.01%
212 97 7.93% 0.01%
213 96 4.80% 0.01%
213 96 2.94% 0.01%
213 96 1.13% 0.01%
213 96 1.47% 0.01%
214 93 0.69% 0.01%
215 91 7.52% 0.01%
216 90 1.24% 0.01%
216 90 2.76% 0.01%
216 90 4.58% 0.01%
217 88 0.32% 0.01%
218 87 1.60% 0.01%
219 86 3.97% 0.01%
220 85 2.07% 0.01%
220 85 1.03% 0.01%
220 85 4.24% 0.01%
221 84 1.87% 0.01%
221 84 6.86% 0.01%
222 83 0.44% 0.01%
222 83 8.04% 0.01%
223 82 0.34% 0.01%
223 82 0.43% 0.01%
224 80 0.96% 0.01%
224 80 1.90% 0.01%
225 79 0.34% 0.01%
226 78 0.53% 0.01%
227 77 0.26% 0.01%
227 77 1.65% 0.01%
227 77 10.80% 0.01%
228 74 0.16% 0.01%
228 74 1.44% 0.01%
229 73 0.31% 0.01%
229 73 2.76% 0.01%
229 73 1.28% 0.01%
230 72 0.57% 0.01%
230 72 0.49% 0.01%
231 70 2.55% 0.01%
231 70 0.23% 0.01%
231 70 2.02% 0.01%
232 68 0.38% 0.01%
233 67 0.44% 0.01%
233 67 4.86% 0.01%
233 67 0.53% 0.01%
233 67 2.51% 0.01%
233 67 0.88% 0.01%
234 66 1.31% 0.01%
235 65 0.91% 0.01%
235 65 0.99% 0.01%
235 65 3.98% 0.01%
235 65 0.49% 0.01%
236 64 0.60% 0.01%
236 64 0.44% 0.01%
236 64 4.17% 0.01%
236 64 1.46% 0.01%
236 64 0.53% 0.01%
237 63 0.22% 0.01%
237 63 0.37% 0.01%
238 62 1.16% 0.01%
238 62 1.79% 0.01%
239 61 4.90% 0.01%
240 59 1.60% 0.01%
240 59 5.64% 0.01%
240 59 3.45% 0.01%
241 58 0.77% 0.01%
242 57 0.39% 0.01%
243 56 0.85% 0.01%
244 55 0.30% 0.01%
244 55 1.13% 0.01%
244 55 0.19% 0.01%
245 54 0.87% 0.01%
245 54 0.83% 0.01%
246 53 6.05% 0.01%
246 53 1.91% 0.01%
246 53 0.55% 0.01%
247 52 0.80% 0.01%
247 52 2.26% 0.01%
247 52 4.08% 0.01%
248 51 0.42% 0.01%
248 51 0.32% 0.01%
248 51 4.94% 0.01%
248 51 1.02% 0.01%
248 51 0.70% 0.01%
248 51 0.50% 0.01%
249 50 0.51% 0.01%
249 50 0.72% 0.01%
249 50 0.39% 0.01%
250 49 0.83% 0.01%
250 49 6.23% 0.01%
250 49 0.60% 0.01%
251 48 1.51% 0.01%
251 48 0.96% 0.01%
252 47 3.50% 0.01%
252 47 0.23% 0.01%
252 47 0.87% 0.01%
253 46 0.37% 0.01%
253 46 0.45% 0.01%
253 46 0.47% 0.01%
253 46 1.73% 0.01%
253 46 0.88% 0.01%
254 45 0.34% 0.01%
255 44 0.48% 0.01%
255 44 0.37% 0.01%
255 44 0.91% 0.01%
255 44 0.64% 0.01%
256 43 2.29% 0.01%
257 42 1.67% 0.01%
257 42 2.75% 0.01%
257 42 0.57% 0.01%
258 41 0.36% 0.01%
259 40 0.54% 0.01%
259 40 2.13% 0.01%
259 40 1.01% 0.01%
259 40 0.88% 0.01%
259 40 1.03% 0.01%
260 39 2.17% 0.01%
260 39 0.76% 0.01%
260 39 1.41% 0.01%
260 39 0.58% 0.01%
260 39 0.81% 0.01%
261 38 2.06% 0.00%
261 38 1.77% 0.00%
262 37 0.55% 0.00%
262 37 3.45% 0.00%
262 37 0.61% 0.00%
262 37 0.13% 0.00%
262 37 4.62% 0.00%
262 37 1.52% 0.00%
263 36 0.30% 0.00%
263 36 1.17% 0.00%
263 36 0.39% 0.00%
263 36 1.45% 0.00%
264 35 0.42% 0.00%
264 35 1.18% 0.00%
264 35 0.39% 0.00%
264 35 0.83% 0.00%
265 34 1.45% 0.00%
265 34 1.81% 0.00%
265 34 0.67% 0.00%
265 34 1.54% 0.00%
265 34 0.76% 0.00%
265 34 1.82% 0.00%
265 34 0.42% 0.00%
265 34 1.64% 0.00%
266 33 5.64% 0.00%
266 33 0.58% 0.00%
266 33 0.78% 0.00%
266 33 0.58% 0.00%
266 33 2.13% 0.00%
267 32 1.27% 0.00%
268 31 2.34% 0.00%
268 31 0.72% 0.00%
268 31 0.41% 0.00%
268 31 0.68% 0.00%
269 30 0.40% 0.00%
269 30 2.02% 0.00%
269 30 1.00% 0.00%
269 30 0.26% 0.00%
269 30 3.37% 0.00%
269 30 0.58% 0.00%
270 29 0.42% 0.00%
270 29 1.41% 0.00%
271 28 0.22% 0.00%
271 28 0.85% 0.00%
271 28 1.42% 0.00%
272 27 2.00% 0.00%
272 27 2.06% 0.00%
273 26 0.27% 0.00%
273 26 0.27% 0.00%
273 26 0.32% 0.00%
273 26 0.73% 0.00%
273 26 0.95% 0.00%
274 25 0.09% 0.00%
274 25 1.10% 0.00%
274 25 3.29% 0.00%
274 25 0.60% 0.00%
274 25 2.62% 0.00%
274 25 0.24% 0.00%
274 25 0.65% 0.00%
274 25 1.93% 0.00%
274 25 0.64% 0.00%
274 25 0.68% 0.00%
274 25 1.35% 0.00%
275 24 0.88% 0.00%
275 24 0.21% 0.00%
275 24 0.23% 0.00%
275 24 1.16% 0.00%
275 24 0.20% 0.00%
276 23 1.36% 0.00%
276 23 0.29% 0.00%
276 23 0.81% 0.00%
276 23 0.83% 0.00%
276 23 0.25% 0.00%
276 23 0.14% 0.00%
277 22 0.54% 0.00%
277 22 1.10% 0.00%
277 22 0.12% 0.00%
277 22 1.04% 0.00%
277 22 0.72% 0.00%
278 21 0.53% 0.00%
278 21 0.15% 0.00%
278 21 1.13% 0.00%
278 21 0.67% 0.00%
278 21 0.23% 0.00%
278 21 0.85% 0.00%
278 21 0.23% 0.00%
278 21 1.25% 0.00%
278 21 0.34% 0.00%
279 20 1.07% 0.00%
279 20 0.44% 0.00%
279 20 0.93% 0.00%
279 20 0.53% 0.00%
279 20 0.76% 0.00%
280 19 1.11% 0.00%
280 19 0.15% 0.00%
280 19 0.07% 0.00%
281 18 0.08% 0.00%
281 18 0.45% 0.00%
281 18 0.69% 0.00%
281 18 2.37% 0.00%
281 18 0.82% 0.00%
281 18 0.14% 0.00%
282 17 0.87% 0.00%
282 17 2.04% 0.00%
282 17 0.29% 0.00%
283 16 0.80% 0.00%
283 16 0.38% 0.00%
283 16 0.17% 0.00%
283 16 0.73% 0.00%
283 16 0.17% 0.00%
283 16 0.11% 0.00%
284 15 0.66% 0.00%
284 15 1.38% 0.00%
284 15 0.99% 0.00%
284 15 0.20% 0.00%
284 15 0.82% 0.00%
284 15 0.35% 0.00%
284 15 0.88% 0.00%
284 15 0.22% 0.00%
284 15 1.36% 0.00%
284 15 0.16% 0.00%
285 14 1.32% 0.00%
285 14 0.46% 0.00%
285 14 0.64% 0.00%
285 14 0.34% 0.00%
285 14 0.38% 0.00%
285 14 0.20% 0.00%
285 14 0.23% 0.00%
285 14 0.11% 0.00%
285 14 0.14% 0.00%
285 14 0.23% 0.00%
285 14 0.31% 0.00%
285 14 0.67% 0.00%
285 14 0.62% 0.00%
285 14 0.33% 0.00%
285 14 1.00% 0.00%
285 14 1.49% 0.00%
285 14 0.25% 0.00%
286 13 0.49% 0.00%
286 13 0.75% 0.00%
286 13 0.56% 0.00%
286 13 0.17% 0.00%
287 12 0.09% 0.00%
287 12 0.51% 0.00%
287 12 0.47% 0.00%
287 12 0.24% 0.00%
287 12 0.32% 0.00%
287 12 0.17% 0.00%
287 12 1.00% 0.00%
287 12 0.14% 0.00%
287 12 0.13% 0.00%
287 12 0.43% 0.00%
287 12 0.12% 0.00%
287 12 0.61% 0.00%
287 12 0.03% 0.00%
287 12 0.18% 0.00%
287 12 0.08% 0.00%
287 12 0.21% 0.00%
287 12 0.64% 0.00%
287 12 1.02% 0.00%
288 11 0.78% 0.00%
288 11 0.42% 0.00%
288 11 0.33% 0.00%
288 11 1.42% 0.00%
288 11 0.08% 0.00%
289 10 0.52% 0.00%
289 10 0.25% 0.00%
289 10 0.90% 0.00%
289 10 0.54% 0.00%
289 10 1.28% 0.00%
289 10 0.35% 0.00%
289 10 0.29% 0.00%
289 10 0.55% 0.00%
289 10 0.53% 0.00%
289 10 0.54% 0.00%
289 10 0.13% 0.00%
289 10 0.25% 0.00%
289 10 0.45% 0.00%
289 10 0.52% 0.00%
289 10 0.82% 0.00%
289 10 1.24% 0.00%
290 9 0.46% 0.00%
290 9 0.34% 0.00%
290 9 0.30% 0.00%
290 9 0.22% 0.00%
290 9 0.70% 0.00%
290 9 0.16% 0.00%
290 9 0.09% 0.00%
290 9 0.28% 0.00%
290 9 0.12% 0.00%
290 9 0.77% 0.00%
290 9 0.40% 0.00%
290 9 0.78% 0.00%
290 9 0.25% 0.00%
290 9 0.10% 0.00%
290 9 0.57% 0.00%
290 9 0.82% 0.00%
290 9 0.48% 0.00%
290 9 0.67% 0.00%
290 9 0.27% 0.00%
291 8 0.06% 0.00%
291 8 0.75% 0.00%
291 8 0.94% 0.00%
291 8 0.12% 0.00%
291 8 0.10% 0.00%
291 8 0.82% 0.00%
291 8 0.21% 0.00%
291 8 0.24% 0.00%
291 8 0.14% 0.00%
291 8 0.78% 0.00%
292 7 0.39% 0.00%
292 7 0.07% 0.00%
292 7 0.18% 0.00%
292 7 0.75% 0.00%
292 7 0.33% 0.00%
292 7 0.30% 0.00%
292 7 0.42% 0.00%
292 7 1.26% 0.00%
292 7 0.14% 0.00%
292 7 0.12% 0.00%
292 7 0.34% 0.00%
292 7 0.13% 0.00%
292 7 0.15% 0.00%
292 7 0.19% 0.00%
292 7 0.37% 0.00%
292 7 0.73% 0.00%
292 7 0.18% 0.00%
292 7 0.25% 0.00%
293 6 0.35% 0.00%
293 6 0.13% 0.00%
293 6 0.92% 0.00%
293 6 0.23% 0.00%
293 6 0.31% 0.00%
293 6 0.77% 0.00%
293 6 0.44% 0.00%
293 6 0.69% 0.00%
293 6 0.67% 0.00%
293 6 0.61% 0.00%
293 6 0.23% 0.00%
293 6 0.33% 0.00%
294 5 0.28% 0.00%
294 5 0.82% 0.00%
294 5 0.48% 0.00%
294 5 0.70% 0.00%
294 5 0.30% 0.00%
294 5 0.17% 0.00%
294 5 0.19% 0.00%
294 5 0.11% 0.00%
294 5 0.24% 0.00%
294 5 0.24% 0.00%
294 5 0.08% 0.00%
294 5 0.32% 0.00%
294 5 0.10% 0.00%
294 5 0.25% 0.00%
294 5 0.08% 0.00%
294 5 0.23% 0.00%
294 5 0.29% 0.00%
294 5 0.05% 0.00%
294 5 0.10% 0.00%
294 5 0.39% 0.00%
294 5 0.21% 0.00%
294 5 0.27% 0.00%
294 5 0.32% 0.00%
294 5 0.41% 0.00%
294 5 0.10% 0.00%
295 4 0.15% 0.00%
295 4 0.24% 0.00%
295 4 0.77% 0.00%
295 4 0.13% 0.00%
295 4 0.30% 0.00%
295 4 0.34% 0.00%
295 4 0.13% 0.00%
295 4 0.25% 0.00%
295 4 0.25% 0.00%
295 4 0.13% 0.00%
295 4 0.11% 0.00%
295 4 0.41% 0.00%
295 4 0.24% 0.00%
295 4 0.39% 0.00%
295 4 0.07% 0.00%
295 4 0.63% 0.00%
295 4 0.21% 0.00%
295 4 0.40% 0.00%
295 4 0.26% 0.00%
295 4 0.05% 0.00%
295 4 0.02% 0.00%
296 3 0.23% 0.00%
296 3 0.45% 0.00%
296 3 0.48% 0.00%
296 3 0.04% 0.00%
296 3 0.16% 0.00%
296 3 0.08% 0.00%
296 3 0.19% 0.00%
296 3 0.28% 0.00%
296 3 0.36% 0.00%
296 3 0.26% 0.00%
296 3 0.12% 0.00%
296 3 0.12% 0.00%
296 3 0.18% 0.00%
296 3 0.41% 0.00%
296 3 0.29% 0.00%
296 3 0.09% 0.00%
296 3 0.54% 0.00%
296 3 0.15% 0.00%
296 3 0.04% 0.00%
296 3 0.10% 0.00%
296 3 0.05% 0.00%
296 3 0.07% 0.00%
296 3 0.28% 0.00%
297 2 0.02% 0.00%
297 2 0.15% 0.00%
297 2 0.05% 0.00%
297 2 0.08% 0.00%
297 2 0.29% 0.00%
297 2 0.10% 0.00%
297 2 0.06% 0.00%
297 2 0.08% 0.00%
297 2 0.28% 0.00%
297 2 0.08% 0.00%
297 2 0.11% 0.00%
297 2 0.17% 0.00%
297 2 0.22% 0.00%
297 2 0.10% 0.00%
297 2 0.09% 0.00%
297 2 0.12% 0.00%
297 2 0.13% 0.00%
297 2 0.11% 0.00%
297 2 0.24% 0.00%
297 2 0.07% 0.00%
297 2 0.20% 0.00%
297 2 0.06% 0.00%
297 2 0.22% 0.00%
298 1 0.10% 0.00%
298 1 0.05% 0.00%
298 1 0.02% 0.00%
298 1 0.07% 0.00%
298 1 0.02% 0.00%
298 1 0.06% 0.00%
298 1 0.11% 0.00%
298 1 0.07% 0.00%
298 1 0.03% 0.00%
298 1 0.08% 0.00%
298 1 0.02% 0.00%
298 1 0.08% 0.00%
298 1 0.01% 0.00%
298 1 0.01% 0.00%
298 1 0.02% 0.00%
298 1 0.03% 0.00%
298 1 0.04% 0.00%
298 1 0.04% 0.00%
298 1 0.05% 0.00%
298 1 0.06% 0.00%
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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 city in New York by their Chinese population, using the most recent ACS data available.

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

How We Ranked the Data

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

Sources

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