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

The Hungarian population in New York is reported as 147,347, with the largest concentrations in cities like New York (47,732), Brooklyn borough (25,544), and Ramapo town (19,564). 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 Hungarian communities take shape across New York and how these patterns compare with other states across the nation.

Top 5 cities with the largest Hungarian population in New York

View All
  • 1
    New York
    Hungarian population in New York is 47,732
    0.56% of New York population is Hungarian
  • 2
    Brooklyn borough
    Hungarian population in Brooklyn borough is 25,544
    0.97% of Brooklyn borough population is Hungarian
  • 3
    Ramapo town
    Hungarian population in Ramapo town is 19,564
    13.02% of Ramapo town population is Hungarian
  • 4
    Kiryas Joel
    Hungarian population in Kiryas Joel is 17,833
    48.76% of Kiryas Joel population is Hungarian
  • 5
    Manhattan borough
    Hungarian population in Manhattan borough is 12,002
    0.74% of Manhattan borough population is Hungarian

Overview of Hungarian population in New York

  • Population Count and Percentage: American Community Survey data indicate New York contains 147,347 Hungarian residents (0.74% of 19.9 million total state population), positioning the state at the 97th percentile nationally among U.S. states for Hungarian population concentrations.
  • Comparison to State and National Averages: U.S. Census data records indicate New York's Hungarian population of 0.74% exceeds the national average of 0.38% by a factor of 1.9.
  • Share of Total National Population: Official American Community Survey data indicates New York's 147,347 Hungarian residents constitute 11.6% of the nation's total Hungarian population of 1.3 million, placing the state among jurisdictions with the highest demographic concentrations, with 11.6% of all American Hungarian Americans residing within state boundaries.
  • Population Density per Square Mile: U.S. Census Bureau's American Community Survey document New York with 3.1 Hungarian Americans per square mile, eight and three-quarters times the national average density of 0.36 per square mile, placing the state among jurisdictions with significantly elevated demographic concentrations nationally.
  • Need additional overviews? Extended research data available for purchase and license. ➔

1,430 Cities in New York Ranked by Hungarian Population

View Methodology
American Community Survey data [1] show Hungarian population in New York present in New York, Brooklyn borough, and Ramapo town, 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 Hungarian population count
Rank by Hungarian Population
City
Hungarian Population
% of Total City Population
% of Total New York Hungarian Population
5 Year Rank Trend
1 New York 47,732 0.56% 32.39%
2 Brooklyn borough 25,544 0.97% 17.34%
3 Ramapo town 19,564 13.02% 13.28%
4 Kiryas Joel 17,833 48.76% 12.10%
5 Manhattan borough 12,002 0.74% 8.15%
6 Queens borough 7,261 0.31% 4.93%
7 Hempstead town 5,374 0.68% 3.65%
8 4,479 46.12% 3.04%
9 2,889 8.76% 1.96%
10 2,077 0.43% 1.41%
11 1,921 0.64% 1.30%
12 1,600 0.68% 1.09%
13 1,582 0.11% 1.07%
14 1,549 27.82% 1.05%
15 1,479 7.92% 1.00%
16 1,445 0.71% 0.98%
17 1,400 36.08% 0.95%
18 1,343 0.27% 0.91%
19 1,090 0.39% 0.74%
20 1,032 0.30% 0.70%
21 981 7.75% 0.67%
22 953 14.07% 0.65%
23 863 0.66% 0.59%
24 761 0.88% 0.52%
25 741 0.34% 0.50%
26 739 0.79% 0.50%
27 735 1.02% 0.50%
28 657 6.28% 0.45%
29 646 0.56% 0.44%
30 556 0.27% 0.38%
31 539 52.74% 0.37%
32 526 4.60% 0.36%
32 526 4.31% 0.36%
33 514 2.41% 0.35%
34 512 0.85% 0.35%
35 509 1.12% 0.35%
36 459 6.28% 0.31%
37 453 0.51% 0.31%
38 445 1.13% 0.30%
39 422 1.21% 0.29%
40 419 1.20% 0.28%
41 417 1.07% 0.28%
42 411 1.93% 0.28%
43 409 0.20% 0.28%
44 407 4.04% 0.28%
45 383 0.38% 0.26%
46 377 1.24% 0.26%
47 374 0.89% 0.25%
48 370 0.76% 0.25%
49 364 2.42% 0.25%
50 359 0.79% 0.24%
51 338 1.00% 0.23%
52 337 1.11% 0.23%
53 335 1.15% 0.23%
54 332 0.74% 0.23%
55 320 1.49% 0.22%
55 320 1.30% 0.22%
56 308 0.21% 0.21%
57 306 0.32% 0.21%
58 301 0.37% 0.20%
59 297 1.97% 0.20%
60 296 2.29% 0.20%
61 293 0.75% 0.20%
62 289 0.59% 0.20%
63 285 3.85% 0.19%
64 283 1.90% 0.19%
65 282 0.41% 0.19%
65 282 0.47% 0.19%
66 273 0.86% 0.19%
66 273 1.01% 0.19%
67 271 0.88% 0.18%
68 262 1.46% 0.18%
69 261 6.59% 0.18%
70 255 1.53% 0.17%
71 254 0.98% 0.17%
72 251 0.76% 0.17%
72 251 0.53% 0.17%
73 247 0.89% 0.17%
74 239 0.84% 0.16%
75 235 1.27% 0.16%
76 234 0.46% 0.16%
77 233 0.52% 0.16%
78 232 0.99% 0.16%
79 228 0.67% 0.15%
79 228 0.77% 0.15%
80 215 0.58% 0.15%
80 215 0.67% 0.15%
81 211 0.71% 0.14%
81 211 0.82% 0.14%
81 211 7.95% 0.14%
81 211 4.02% 0.14%
82 206 1.93% 0.14%
82 206 3.79% 0.14%
82 206 0.63% 0.14%
82 206 0.30% 0.14%
83 203 0.34% 0.14%
84 200 1.58% 0.14%
85 199 0.42% 0.14%
86 198 0.42% 0.13%
87 194 1.35% 0.13%
88 193 0.61% 0.13%
89 192 0.66% 0.13%
89 192 0.35% 0.13%
90 191 0.61% 0.13%
91 189 0.53% 0.13%
92 188 3.85% 0.13%
93 183 0.87% 0.12%
94 180 0.49% 0.12%
95 179 0.88% 0.12%
96 177 0.35% 0.12%
97 176 0.98% 0.12%
97 176 1.69% 0.12%
98 173 1.21% 0.12%
99 171 0.20% 0.12%
100 170 1.05% 0.12%
100 170 0.73% 0.12%
101 169 1.78% 0.11%
102 168 0.35% 0.11%
103 167 1.43% 0.11%
104 165 2.53% 0.11%
105 163 7.09% 0.11%
105 163 12.79% 0.11%
106 160 0.81% 0.11%
107 159 1.44% 0.11%
108 158 0.75% 0.11%
109 156 0.41% 0.11%
110 155 1.77% 0.11%
110 155 0.49% 0.11%
111 151 0.53% 0.10%
112 146 0.44% 0.10%
112 146 1.48% 0.10%
113 144 2.06% 0.10%
114 143 0.90% 0.10%
115 142 3.91% 0.10%
115 142 1.54% 0.10%
116 140 1.15% 0.10%
117 139 0.46% 0.09%
118 138 0.84% 0.09%
119 136 0.59% 0.09%
119 136 0.71% 0.09%
119 136 0.48% 0.09%
120 132 0.37% 0.09%
120 132 0.55% 0.09%
121 131 0.96% 0.09%
121 131 0.80% 0.09%
122 129 1.00% 0.09%
123 126 0.83% 0.09%
123 126 1.03% 0.09%
124 125 1.01% 0.08%
125 124 2.15% 0.08%
126 123 0.66% 0.08%
127 122 1.81% 0.08%
127 122 0.51% 0.08%
127 122 1.10% 0.08%
128 121 1.28% 0.08%
129 120 1.32% 0.08%
129 120 0.81% 0.08%
130 118 0.69% 0.08%
131 117 2.01% 0.08%
132 115 0.67% 0.08%
132 115 0.52% 0.08%
133 114 0.56% 0.08%
134 109 0.72% 0.07%
134 109 0.48% 0.07%
134 109 2.57% 0.07%
135 108 0.41% 0.07%
135 108 0.37% 0.07%
136 107 0.37% 0.07%
137 106 0.70% 0.07%
137 106 6.83% 0.07%
137 106 2.21% 0.07%
137 106 5.14% 0.07%
137 106 0.26% 0.07%
137 106 0.85% 0.07%
138 105 0.62% 0.07%
138 105 0.97% 0.07%
138 105 3.00% 0.07%
139 104 1.20% 0.07%
139 104 0.50% 0.07%
140 103 0.40% 0.07%
141 102 0.81% 0.07%
141 102 0.23% 0.07%
142 101 1.44% 0.07%
143 100 0.51% 0.07%
144 99 0.33% 0.07%
145 98 1.51% 0.07%
145 98 0.32% 0.07%
146 97 1.18% 0.07%
147 96 0.98% 0.07%
147 96 0.37% 0.07%
148 95 0.35% 0.06%
149 93 4.87% 0.06%
149 93 0.36% 0.06%
150 92 1.15% 0.06%
150 92 0.30% 0.06%
150 92 6.64% 0.06%
151 90 9.06% 0.06%
152 89 0.35% 0.06%
152 89 1.19% 0.06%
153 88 0.83% 0.06%
154 87 0.12% 0.06%
154 87 0.74% 0.06%
155 86 0.75% 0.06%
155 86 1.67% 0.06%
155 86 1.01% 0.06%
155 86 1.40% 0.06%
156 85 0.66% 0.06%
156 85 0.43% 0.06%
157 83 0.30% 0.06%
157 83 0.44% 0.06%
157 83 0.37% 0.06%
157 83 1.46% 0.06%
158 82 3.42% 0.06%
158 82 1.41% 0.06%
159 81 1.10% 0.06%
160 80 2.92% 0.05%
160 80 1.22% 0.05%
160 80 0.28% 0.05%
161 79 0.59% 0.05%
161 79 1.38% 0.05%
162 78 1.72% 0.05%
162 78 0.68% 0.05%
163 77 2.17% 0.05%
163 77 0.46% 0.05%
164 76 1.33% 0.05%
164 76 0.74% 0.05%
164 76 0.71% 0.05%
165 75 0.91% 0.05%
165 75 0.68% 0.05%
165 75 0.65% 0.05%
166 74 0.55% 0.05%
167 73 1.60% 0.05%
167 73 3.51% 0.05%
167 73 2.42% 0.05%
168 72 2.33% 0.05%
168 72 0.36% 0.05%
168 72 0.45% 0.05%
169 71 1.09% 0.05%
169 71 0.89% 0.05%
169 71 0.72% 0.05%
169 71 0.82% 0.05%
169 71 1.90% 0.05%
170 70 0.53% 0.05%
171 69 0.84% 0.05%
171 69 0.72% 0.05%
171 69 0.53% 0.05%
171 69 0.59% 0.05%
172 68 0.22% 0.05%
173 67 0.96% 0.05%
173 67 0.46% 0.05%
173 67 0.79% 0.05%
174 66 0.52% 0.04%
174 66 0.23% 0.04%
175 65 0.89% 0.04%
175 65 0.50% 0.04%
176 64 1.43% 0.04%
176 64 0.55% 0.04%
176 64 1.22% 0.04%
176 64 0.93% 0.04%
177 63 1.58% 0.04%
177 63 1.14% 0.04%
177 63 0.36% 0.04%
178 62 0.45% 0.04%
179 61 0.90% 0.04%
179 61 0.42% 0.04%
179 61 0.73% 0.04%
179 61 0.57% 0.04%
180 60 0.41% 0.04%
180 60 0.79% 0.04%
181 59 0.73% 0.04%
182 58 0.69% 0.04%
182 58 0.38% 0.04%
182 58 0.80% 0.04%
182 58 1.50% 0.04%
182 58 0.09% 0.04%
183 57 0.76% 0.04%
183 57 1.13% 0.04%
184 56 0.75% 0.04%
184 56 0.90% 0.04%
184 56 1.84% 0.04%
184 56 0.50% 0.04%
184 56 0.18% 0.04%
184 56 1.49% 0.04%
184 56 0.85% 0.04%
185 55 0.92% 0.04%
185 55 0.44% 0.04%
186 54 1.09% 0.04%
186 54 0.88% 0.04%
186 54 0.58% 0.04%
186 54 0.30% 0.04%
187 53 1.04% 0.04%
187 53 0.56% 0.04%
187 53 1.06% 0.04%
187 53 0.70% 0.04%
187 53 0.54% 0.04%
188 52 0.32% 0.04%
188 52 0.92% 0.04%
188 52 0.96% 0.04%
189 51 2.58% 0.03%
189 51 0.99% 0.03%
189 51 1.10% 0.03%
189 51 0.94% 0.03%
189 51 0.61% 0.03%
189 51 1.33% 0.03%
189 51 0.35% 0.03%
190 50 0.19% 0.03%
190 50 1.23% 0.03%
190 50 5.05% 0.03%
190 50 1.00% 0.03%
191 49 0.53% 0.03%
191 49 2.55% 0.03%
192 48 0.60% 0.03%
192 48 1.40% 0.03%
192 48 0.66% 0.03%
192 48 0.47% 0.03%
193 47 0.68% 0.03%
193 47 1.69% 0.03%
193 47 0.32% 0.03%
194 46 0.82% 0.03%
194 46 0.62% 0.03%
194 46 0.62% 0.03%
194 46 2.06% 0.03%
194 46 0.61% 0.03%
195 45 2.63% 0.03%
195 45 0.55% 0.03%
195 45 0.72% 0.03%
196 44 1.09% 0.03%
196 44 1.23% 0.03%
196 44 2.12% 0.03%
197 43 1.52% 0.03%
197 43 1.08% 0.03%
197 43 0.85% 0.03%
197 43 0.47% 0.03%
197 43 2.08% 0.03%
198 42 1.34% 0.03%
198 42 1.69% 0.03%
198 42 0.46% 0.03%
198 42 1.58% 0.03%
198 42 0.75% 0.03%
198 42 0.66% 0.03%
198 42 0.41% 0.03%
198 42 0.82% 0.03%
199 41 0.28% 0.03%
199 41 2.19% 0.03%
199 41 1.25% 0.03%
199 41 0.47% 0.03%
199 41 1.31% 0.03%
199 41 1.13% 0.03%
199 41 2.29% 0.03%
199 41 0.33% 0.03%
199 41 1.41% 0.03%
200 40 0.33% 0.03%
200 40 1.34% 0.03%
200 40 0.50% 0.03%
200 40 0.47% 0.03%
200 40 1.35% 0.03%
201 39 0.28% 0.03%
201 39 0.65% 0.03%
201 39 0.23% 0.03%
201 39 3.82% 0.03%
201 39 0.07% 0.03%
201 39 0.19% 0.03%
201 39 0.68% 0.03%
202 38 2.25% 0.03%
202 38 5.83% 0.03%
202 38 0.78% 0.03%
202 38 0.98% 0.03%
203 37 0.57% 0.03%
203 37 0.84% 0.03%
203 37 0.30% 0.03%
203 37 0.19% 0.03%
203 37 1.22% 0.03%
204 36 1.28% 0.02%
204 36 0.46% 0.02%
204 36 0.53% 0.02%
204 36 0.23% 0.02%
205 35 0.50% 0.02%
205 35 0.19% 0.02%
205 35 0.20% 0.02%
205 35 1.96% 0.02%
205 35 0.36% 0.02%
205 35 1.26% 0.02%
205 35 0.15% 0.02%
205 35 0.21% 0.02%
206 34 0.96% 0.02%
206 34 0.73% 0.02%
206 34 0.84% 0.02%
206 34 0.37% 0.02%
206 34 2.55% 0.02%
206 34 0.76% 0.02%
207 33 0.43% 0.02%
207 33 0.49% 0.02%
207 33 0.40% 0.02%
207 33 0.63% 0.02%
207 33 0.98% 0.02%
207 33 0.31% 0.02%
207 33 1.07% 0.02%
207 33 0.79% 0.02%
208 32 0.71% 0.02%
208 32 0.38% 0.02%
208 32 0.58% 0.02%
208 32 0.75% 0.02%
208 32 0.56% 0.02%
209 31 2.60% 0.02%
209 31 0.99% 0.02%
209 31 1.02% 0.02%
210 30 0.35% 0.02%
210 30 0.07% 0.02%
210 30 0.41% 0.02%
210 30 0.69% 0.02%
211 29 0.59% 0.02%
211 29 0.39% 0.02%
211 29 0.26% 0.02%
211 29 0.61% 0.02%
211 29 0.25% 0.02%
211 29 0.69% 0.02%
211 29 1.38% 0.02%
211 29 1.44% 0.02%
211 29 0.85% 0.02%
211 29 0.25% 0.02%
211 29 3.22% 0.02%
212 28 0.27% 0.02%
212 28 2.27% 0.02%
212 28 1.46% 0.02%
212 28 1.03% 0.02%
212 28 0.39% 0.02%
212 28 0.61% 0.02%
212 28 0.59% 0.02%
212 28 0.61% 0.02%
212 28 0.37% 0.02%
213 27 0.24% 0.02%
213 27 0.74% 0.02%
213 27 0.99% 0.02%
213 27 1.29% 0.02%
214 26 0.68% 0.02%
214 26 0.26% 0.02%
214 26 1.63% 0.02%
214 26 1.20% 0.02%
215 25 0.83% 0.02%
215 25 0.09% 0.02%
215 25 0.38% 0.02%
215 25 0.85% 0.02%
215 25 0.76% 0.02%
216 24 0.93% 0.02%
216 24 0.37% 0.02%
216 24 0.79% 0.02%
216 24 0.91% 0.02%
216 24 0.50% 0.02%
216 24 0.45% 0.02%
216 24 0.46% 0.02%
216 24 0.95% 0.02%
216 24 2.12% 0.02%
216 24 0.42% 0.02%
216 24 0.33% 0.02%
216 24 1.06% 0.02%
216 24 0.13% 0.02%
217 23 1.21% 0.02%
217 23 0.18% 0.02%
217 23 0.84% 0.02%
217 23 1.70% 0.02%
217 23 0.51% 0.02%
217 23 1.76% 0.02%
217 23 2.23% 0.02%
217 23 1.35% 0.02%
217 23 2.59% 0.02%
217 23 0.44% 0.02%
217 23 1.06% 0.02%
218 22 0.14% 0.01%
218 22 0.18% 0.01%
218 22 0.80% 0.01%
218 22 1.38% 0.01%
219 21 0.45% 0.01%
219 21 0.35% 0.01%
219 21 0.42% 0.01%
219 21 0.36% 0.01%
219 21 0.47% 0.01%
219 21 0.17% 0.01%
219 21 1.06% 0.01%
219 21 0.71% 0.01%
219 21 0.30% 0.01%
219 21 0.31% 0.01%
219 21 1.70% 0.01%
219 21 0.79% 0.01%
219 21 1.37% 0.01%
219 21 0.92% 0.01%
220 20 0.75% 0.01%
220 20 0.74% 0.01%
220 20 0.39% 0.01%
220 20 0.79% 0.01%
220 20 0.64% 0.01%
220 20 0.32% 0.01%
220 20 1.62% 0.01%
220 20 0.63% 0.01%
220 20 1.47% 0.01%
220 20 1.52% 0.01%
221 19 0.75% 0.01%
221 19 0.65% 0.01%
221 19 0.91% 0.01%
221 19 0.57% 0.01%
221 19 0.57% 0.01%
221 19 0.25% 0.01%
221 19 0.18% 0.01%
221 19 0.33% 0.01%
221 19 0.19% 0.01%
221 19 0.39% 0.01%
221 19 0.42% 0.01%
221 19 0.98% 0.01%
221 19 1.76% 0.01%
221 19 0.61% 0.01%
221 19 2.60% 0.01%
221 19 0.77% 0.01%
222 18 0.25% 0.01%
222 18 0.65% 0.01%
222 18 0.27% 0.01%
222 18 0.37% 0.01%
222 18 1.20% 0.01%
222 18 2.59% 0.01%
222 18 0.61% 0.01%
222 18 0.83% 0.01%
222 18 1.54% 0.01%
222 18 0.72% 0.01%
222 18 0.14% 0.01%
222 18 0.59% 0.01%
222 18 0.22% 0.01%
222 18 0.22% 0.01%
222 18 0.19% 0.01%
222 18 0.56% 0.01%
222 18 0.49% 0.01%
222 18 1.41% 0.01%
223 17 1.36% 0.01%
223 17 0.15% 0.01%
223 17 0.45% 0.01%
223 17 2.65% 0.01%
223 17 3.10% 0.01%
223 17 0.75% 0.01%
223 17 0.33% 0.01%
223 17 0.48% 0.01%
223 17 0.38% 0.01%
223 17 0.12% 0.01%
223 17 0.45% 0.01%
223 17 1.10% 0.01%
224 16 0.82% 0.01%
224 16 0.74% 0.01%
224 16 1.54% 0.01%
224 16 0.44% 0.01%
224 16 0.64% 0.01%
224 16 0.44% 0.01%
224 16 0.25% 0.01%
224 16 1.09% 0.01%
224 16 0.46% 0.01%
224 16 0.17% 0.01%
224 16 0.24% 0.01%
224 16 0.55% 0.01%
224 16 0.44% 0.01%
224 16 1.73% 0.01%
224 16 0.16% 0.01%
224 16 0.85% 0.01%
225 15 0.58% 0.01%
225 15 0.65% 0.01%
225 15 0.31% 0.01%
225 15 0.49% 0.01%
225 15 0.24% 0.01%
225 15 0.20% 0.01%
225 15 0.17% 0.01%
225 15 0.54% 0.01%
225 15 0.83% 0.01%
225 15 0.38% 0.01%
225 15 0.30% 0.01%
225 15 0.22% 0.01%
225 15 0.30% 0.01%
225 15 1.24% 0.01%
225 15 0.46% 0.01%
225 15 0.31% 0.01%
225 15 1.73% 0.01%
226 14 0.61% 0.01%
226 14 0.71% 0.01%
226 14 0.45% 0.01%
226 14 1.31% 0.01%
226 14 1.16% 0.01%
226 14 0.47% 0.01%
226 14 0.72% 0.01%
226 14 0.26% 0.01%
226 14 0.15% 0.01%
226 14 0.29% 0.01%
226 14 1.36% 0.01%
226 14 1.27% 0.01%
226 14 1.06% 0.01%
226 14 0.79% 0.01%
227 13 0.50% 0.01%
227 13 0.36% 0.01%
227 13 0.16% 0.01%
227 13 0.31% 0.01%
227 13 0.59% 0.01%
227 13 0.73% 0.01%
227 13 0.69% 0.01%
227 13 0.78% 0.01%
227 13 0.49% 0.01%
227 13 1.14% 0.01%
227 13 1.15% 0.01%
227 13 2.28% 0.01%
227 13 0.20% 0.01%
227 13 0.32% 0.01%
227 13 0.46% 0.01%
227 13 1.30% 0.01%
227 13 0.27% 0.01%
227 13 0.19% 0.01%
228 12 0.46% 0.01%
228 12 0.30% 0.01%
228 12 0.46% 0.01%
228 12 0.25% 0.01%
228 12 0.56% 0.01%
228 12 0.57% 0.01%
228 12 0.28% 0.01%
228 12 0.13% 0.01%
228 12 0.20% 0.01%
228 12 1.53% 0.01%
228 12 0.53% 0.01%
228 12 0.88% 0.01%
228 12 0.38% 0.01%
228 12 0.58% 0.01%
228 12 0.18% 0.01%
228 12 0.07% 0.01%
228 12 0.82% 0.01%
228 12 1.15% 0.01%
228 12 0.76% 0.01%
228 12 0.36% 0.01%
228 12 0.13% 0.01%
228 12 0.32% 0.01%
229 11 0.42% 0.01%
229 11 0.32% 0.01%
229 11 0.35% 0.01%
229 11 0.33% 0.01%
229 11 1.53% 0.01%
229 11 0.35% 0.01%
229 11 0.22% 0.01%
229 11 0.83% 0.01%
229 11 0.17% 0.01%
229 11 0.20% 0.01%
229 11 0.09% 0.01%
229 11 0.90% 0.01%
229 11 0.18% 0.01%
229 11 0.42% 0.01%
229 11 0.53% 0.01%
229 11 0.24% 0.01%
229 11 0.18% 0.01%
229 11 0.21% 0.01%
229 11 0.26% 0.01%
229 11 1.87% 0.01%
229 11 0.09% 0.01%
229 11 1.62% 0.01%
229 11 0.58% 0.01%
229 11 0.19% 0.01%
229 11 0.64% 0.01%
229 11 0.39% 0.01%
229 11 0.81% 0.01%
230 10 0.18% 0.01%
230 10 0.52% 0.01%
230 10 0.51% 0.01%
230 10 0.53% 0.01%
230 10 0.55% 0.01%
230 10 0.23% 0.01%
230 10 0.18% 0.01%
230 10 0.73% 0.01%
230 10 0.17% 0.01%
230 10 0.22% 0.01%
230 10 0.48% 0.01%
230 10 0.38% 0.01%
230 10 0.97% 0.01%
230 10 1.62% 0.01%
230 10 0.41% 0.01%
230 10 0.17% 0.01%
230 10 0.54% 0.01%
230 10 0.69% 0.01%
230 10 1.18% 0.01%
230 10 0.33% 0.01%
230 10 0.81% 0.01%
230 10 0.52% 0.01%
231 9 0.50% 0.01%
231 9 1.17% 0.01%
231 9 0.48% 0.01%
231 9 0.36% 0.01%
231 9 0.12% 0.01%
231 9 0.60% 0.01%
231 9 0.21% 0.01%
231 9 0.72% 0.01%
231 9 0.52% 0.01%
231 9 0.77% 0.01%
231 9 0.97% 0.01%
231 9 0.51% 0.01%
231 9 0.20% 0.01%
231 9 0.31% 0.01%
231 9 1.19% 0.01%
231 9 0.42% 0.01%
231 9 0.36% 0.01%
231 9 0.53% 0.01%
231 9 1.67% 0.01%
231 9 0.54% 0.01%
231 9 0.94% 0.01%
232 8 0.77% 0.01%
232 8 0.42% 0.01%
232 8 0.40% 0.01%
232 8 0.52% 0.01%
232 8 0.43% 0.01%
232 8 0.20% 0.01%
232 8 0.47% 0.01%
232 8 0.51% 0.01%
232 8 0.21% 0.01%
232 8 0.53% 0.01%
232 8 0.38% 0.01%
232 8 0.32% 0.01%
232 8 1.00% 0.01%
232 8 0.19% 0.01%
232 8 0.73% 0.01%
232 8 0.49% 0.01%
232 8 0.47% 0.01%
232 8 0.44% 0.01%
232 8 0.59% 0.01%
232 8 0.28% 0.01%
232 8 0.76% 0.01%
232 8 0.32% 0.01%
232 8 0.23% 0.01%
232 8 0.32% 0.01%
232 8 0.19% 0.01%
232 8 0.41% 0.01%
232 8 0.76% 0.01%
232 8 0.14% 0.01%
232 8 1.35% 0.01%
232 8 0.53% 0.01%
232 8 1.17% 0.01%
232 8 0.20% 0.01%
232 8 0.54% 0.01%
233 7 0.40% 0.00%
233 7 0.53% 0.00%
233 7 0.38% 0.00%
233 7 0.13% 0.00%
233 7 0.39% 0.00%
233 7 0.30% 0.00%
233 7 0.30% 0.00%
233 7 0.53% 0.00%
233 7 0.42% 0.00%
233 7 0.35% 0.00%
233 7 1.11% 0.00%
233 7 0.31% 0.00%
233 7 0.62% 0.00%
233 7 0.19% 0.00%
233 7 1.26% 0.00%
233 7 0.32% 0.00%
233 7 0.27% 0.00%
233 7 0.75% 0.00%
233 7 0.20% 0.00%
233 7 0.17% 0.00%
233 7 0.49% 0.00%
233 7 0.41% 0.00%
233 7 0.12% 0.00%
233 7 0.15% 0.00%
233 7 0.51% 0.00%
233 7 0.32% 0.00%
233 7 0.20% 0.00%
233 7 1.16% 0.00%
233 7 0.54% 0.00%
233 7 0.33% 0.00%
233 7 0.16% 0.00%
233 7 0.17% 0.00%
233 7 0.22% 0.00%
233 7 0.21% 0.00%
233 7 0.12% 0.00%
234 6 0.63% 0.00%
234 6 0.45% 0.00%
234 6 0.20% 0.00%
234 6 0.35% 0.00%
234 6 1.13% 0.00%
234 6 0.23% 0.00%
234 6 0.64% 0.00%
234 6 0.31% 0.00%
234 6 0.46% 0.00%
234 6 0.26% 0.00%
234 6 0.15% 0.00%
234 6 0.51% 0.00%
234 6 0.59% 0.00%
234 6 0.25% 0.00%
234 6 0.38% 0.00%
234 6 0.04% 0.00%
234 6 0.36% 0.00%
234 6 0.51% 0.00%
234 6 0.09% 0.00%
234 6 0.06% 0.00%
234 6 0.81% 0.00%
234 6 0.31% 0.00%
234 6 0.10% 0.00%
234 6 0.36% 0.00%
234 6 0.19% 0.00%
234 6 0.47% 0.00%
234 6 0.39% 0.00%
234 6 0.26% 0.00%
234 6 0.47% 0.00%
234 6 0.63% 0.00%
234 6 0.08% 0.00%
234 6 0.19% 0.00%
234 6 0.08% 0.00%
234 6 0.18% 0.00%
234 6 0.25% 0.00%
234 6 0.32% 0.00%
234 6 0.31% 0.00%
234 6 0.67% 0.00%
234 6 0.49% 0.00%
234 6 0.25% 0.00%
235 5 0.46% 0.00%
235 5 0.26% 0.00%
235 5 0.36% 0.00%
235 5 0.28% 0.00%
235 5 0.28% 0.00%
235 5 0.13% 0.00%
235 5 0.14% 0.00%
235 5 0.24% 0.00%
235 5 0.18% 0.00%
235 5 0.46% 0.00%
235 5 0.32% 0.00%
235 5 0.50% 0.00%
235 5 0.21% 0.00%
235 5 0.29% 0.00%
235 5 0.52% 0.00%
235 5 0.27% 0.00%
235 5 0.60% 0.00%
235 5 0.53% 0.00%
235 5 0.66% 0.00%
235 5 0.09% 0.00%
235 5 0.26% 0.00%
235 5 0.38% 0.00%
235 5 0.12% 0.00%
235 5 0.44% 0.00%
235 5 0.08% 0.00%
235 5 0.24% 0.00%
235 5 0.07% 0.00%
235 5 0.20% 0.00%
235 5 1.77% 0.00%
235 5 0.18% 0.00%
235 5 0.19% 0.00%
235 5 0.20% 0.00%
235 5 0.07% 0.00%
235 5 0.26% 0.00%
235 5 0.56% 0.00%
235 5 0.29% 0.00%
235 5 0.46% 0.00%
235 5 0.68% 0.00%
235 5 0.47% 0.00%
235 5 0.28% 0.00%
236 4 0.37% 0.00%
236 4 0.58% 0.00%
236 4 0.18% 0.00%
236 4 0.75% 0.00%
236 4 0.30% 0.00%
236 4 0.22% 0.00%
236 4 0.24% 0.00%
236 4 0.33% 0.00%
236 4 0.37% 0.00%
236 4 0.07% 0.00%
236 4 0.50% 0.00%
236 4 0.41% 0.00%
236 4 0.31% 0.00%
236 4 0.31% 0.00%
236 4 0.07% 0.00%
236 4 0.33% 0.00%
236 4 0.35% 0.00%
236 4 0.10% 0.00%
236 4 0.64% 0.00%
236 4 0.46% 0.00%
236 4 0.24% 0.00%
236 4 0.36% 0.00%
236 4 0.31% 0.00%
236 4 0.56% 0.00%
236 4 0.26% 0.00%
236 4 0.21% 0.00%
236 4 0.27% 0.00%
236 4 0.25% 0.00%
236 4 0.25% 0.00%
236 4 0.27% 0.00%
236 4 0.14% 0.00%
236 4 0.20% 0.00%
236 4 0.67% 0.00%
236 4 0.31% 0.00%
236 4 0.10% 0.00%
236 4 0.29% 0.00%
236 4 0.13% 0.00%
236 4 0.29% 0.00%
236 4 0.20% 0.00%
236 4 0.44% 0.00%
236 4 0.24% 0.00%
236 4 0.37% 0.00%
236 4 0.40% 0.00%
236 4 0.15% 0.00%
236 4 0.16% 0.00%
236 4 0.24% 0.00%
237 3 0.17% 0.00%
237 3 0.18% 0.00%
237 3 0.24% 0.00%
237 3 0.21% 0.00%
237 3 0.49% 0.00%
237 3 0.44% 0.00%
237 3 0.35% 0.00%
237 3 0.21% 0.00%
237 3 0.23% 0.00%
237 3 0.36% 0.00%
237 3 0.07% 0.00%
237 3 0.14% 0.00%
237 3 0.22% 0.00%
237 3 0.17% 0.00%
237 3 0.19% 0.00%
237 3 0.59% 0.00%
237 3 0.25% 0.00%
237 3 0.25% 0.00%
237 3 0.10% 0.00%
237 3 0.18% 0.00%
237 3 0.21% 0.00%
237 3 0.10% 0.00%
237 3 0.25% 0.00%
237 3 0.17% 0.00%
237 3 0.22% 0.00%
237 3 0.15% 0.00%
237 3 0.17% 0.00%
237 3 0.16% 0.00%
237 3 0.24% 0.00%
237 3 0.37% 0.00%
237 3 0.08% 0.00%
237 3 0.18% 0.00%
237 3 0.15% 0.00%
237 3 0.33% 0.00%
237 3 0.69% 0.00%
237 3 0.11% 0.00%
237 3 0.14% 0.00%
237 3 0.30% 0.00%
237 3 0.15% 0.00%
237 3 0.24% 0.00%
237 3 0.29% 0.00%
237 3 0.19% 0.00%
237 3 0.05% 0.00%
237 3 0.16% 0.00%
237 3 0.16% 0.00%
237 3 0.16% 0.00%
237 3 0.20% 0.00%
237 3 0.19% 0.00%
238 2 0.45% 0.00%
238 2 0.08% 0.00%
238 2 0.12% 0.00%
238 2 0.13% 0.00%
238 2 0.17% 0.00%
238 2 0.06% 0.00%
238 2 0.15% 0.00%
238 2 0.13% 0.00%
238 2 0.15% 0.00%
238 2 0.14% 0.00%
238 2 0.31% 0.00%
238 2 0.26% 0.00%
238 2 0.27% 0.00%
238 2 0.28% 0.00%
238 2 0.04% 0.00%
238 2 0.17% 0.00%
238 2 0.03% 0.00%
238 2 0.23% 0.00%
238 2 0.28% 0.00%
238 2 0.30% 0.00%
238 2 0.04% 0.00%
238 2 0.06% 0.00%
238 2 0.08% 0.00%
238 2 0.17% 0.00%
238 2 0.26% 0.00%
238 2 0.22% 0.00%
238 2 0.12% 0.00%
238 2 0.22% 0.00%
238 2 0.07% 0.00%
238 2 0.20% 0.00%
238 2 0.19% 0.00%
238 2 0.12% 0.00%
238 2 0.21% 0.00%
238 2 0.05% 0.00%
238 2 0.13% 0.00%
238 2 0.34% 0.00%
238 2 0.14% 0.00%
238 2 0.05% 0.00%
238 2 0.12% 0.00%
238 2 0.15% 0.00%
238 2 0.05% 0.00%
238 2 0.18% 0.00%
238 2 0.18% 0.00%
238 2 0.12% 0.00%
238 2 0.36% 0.00%
238 2 0.25% 0.00%
238 2 0.11% 0.00%
239 1 0.08% 0.00%
239 1 0.11% 0.00%
239 1 0.04% 0.00%
239 1 0.20% 0.00%
239 1 0.18% 0.00%
239 1 0.05% 0.00%
239 1 0.13% 0.00%
239 1 0.05% 0.00%
239 1 0.14% 0.00%
239 1 0.14% 0.00%
239 1 0.01% 0.00%
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 0 - -
240 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 Hungarian population, using the most recent ACS data available.

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

How We Ranked the Data

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

Sources

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