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

The Swiss population in New York is reported as 33,142, with the largest concentrations in cities like New York (7,593), Manhattan borough (3,993), and Brooklyn borough (2,274). 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 Swiss communities take shape across New York and how these patterns compare with other states across the nation.

Top 5 cities with the largest Swiss population in New York

View All
  • 1
    New York
    Swiss population in New York is 7,593
    0.09% of New York population is Swiss
  • 2
    Manhattan borough
    Swiss population in Manhattan borough is 3,993
    0.25% of Manhattan borough population is Swiss
  • 3
    Brooklyn borough
    Swiss population in Brooklyn borough is 2,274
    0.09% of Brooklyn borough population is Swiss
  • 4
    Queens borough
    Swiss population in Queens borough is 1,035
    0.04% of Queens borough population is Swiss
  • 5
    Brookhaven town
    Swiss population in Brookhaven town is 621
    0.13% of Brookhaven town population is Swiss

Overview of Swiss population in New York

  • Population Count and Percentage: American Community Survey data indicate New York contains 33,142 Swiss residents (0.17% of 19.9 million total state population), positioning the state at the 83rd percentile nationally among U.S. states for Swiss population concentrations.
  • Comparison to State and National Averages: U.S. Census surveys show New York's Swiss demographic representation of 0.17% remains below the national average of 0.26%, positioning the state below typical U.S. demographic distribution patterns.
  • Share of Total National Population: Official American Community Survey records show New York hosts 33,142 Swiss residents, representing 3.9% of the nation's total Swiss population of 858,721, 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 indicates New York's density of 0.7 Swiss Americans per square mile exceeds the national average of 0.24 per square mile by more than double, establishing the state as a significant concentration center for Swiss demographic communities.
  • Need additional overviews? Extended research data available for purchase and license. ➔

1,430 Cities in New York Ranked by Swiss Population

View Methodology
American Community Survey data [1] show Swiss population in New York present in New York, Manhattan 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 Swiss population count
Rank by Swiss Population
City
Swiss Population
% of Total City Population
% of Total New York Swiss Population
5 Year Rank Trend
1 New York 7,593 0.09% 22.91%
2 Manhattan borough 3,993 0.25% 12.05%
3 Brooklyn borough 2,274 0.09% 6.86%
4 Queens borough 1,035 0.04% 3.12%
5 Brookhaven town 621 0.13% 1.87%
6 Canajoharie town 554 15.20% 1.67%
7 Ramapo town 412 0.27% 1.24%
8 394 0.13% 1.19%
9 377 12.74% 1.14%
9 377 26.51% 1.14%
10 371 0.28% 1.12%
11 367 5.37% 1.11%
12 316 3.07% 0.95%
13 311 0.15% 0.94%
14 310 0.36% 0.94%
15 283 0.24% 0.85%
16 282 0.19% 0.85%
17 277 0.87% 0.84%
18 273 0.40% 0.82%
19 258 0.03% 0.78%
20 249 0.80% 0.75%
21 239 0.09% 0.72%
22 234 0.11% 0.71%
23 226 4.45% 0.68%
24 223 0.02% 0.67%
25 220 0.10% 0.66%
26 203 4.64% 0.61%
27 195 0.28% 0.59%
28 193 0.32% 0.58%
29 190 1.10% 0.57%
30 187 5.15% 0.56%
31 184 7.63% 0.56%
32 181 0.05% 0.55%
33 178 0.49% 0.54%
34 173 0.54% 0.52%
35 171 0.07% 0.52%
36 164 1.00% 0.49%
37 163 0.16% 0.49%
38 160 7.74% 0.48%
39 159 8.46% 0.48%
40 156 0.17% 0.47%
41 154 0.32% 0.46%
42 153 0.46% 0.46%
43 150 0.46% 0.45%
44 148 1.27% 0.45%
45 147 0.31% 0.44%
46 145 1.05% 0.44%
47 140 0.97% 0.42%
48 136 4.02% 0.41%
49 130 10.57% 0.39%
50 123 2.71% 0.37%
51 122 5.35% 0.37%
52 121 0.35% 0.37%
53 120 0.55% 0.36%
54 119 6.35% 0.36%
55 116 0.19% 0.35%
56 115 0.36% 0.35%
57 113 2.62% 0.34%
57 113 4.32% 0.34%
58 112 1.40% 0.34%
59 111 0.05% 0.33%
60 109 0.54% 0.33%
61 107 0.37% 0.32%
62 105 0.12% 0.32%
62 105 0.46% 0.32%
63 101 1.35% 0.30%
64 100 1.01% 0.30%
65 98 6.24% 0.30%
66 96 0.33% 0.29%
67 95 0.55% 0.29%
68 94 1.35% 0.28%
69 92 0.36% 0.28%
70 91 2.38% 0.27%
70 91 0.67% 0.27%
71 90 0.32% 0.27%
71 90 2.34% 0.27%
72 88 0.27% 0.27%
73 87 0.24% 0.26%
73 87 0.29% 0.26%
74 86 1.17% 0.26%
74 86 0.90% 0.26%
74 86 3.59% 0.26%
75 84 0.46% 0.25%
75 84 4.68% 0.25%
76 83 1.18% 0.25%
77 82 0.65% 0.25%
77 82 0.16% 0.25%
77 82 0.30% 0.25%
77 82 0.46% 0.25%
78 80 0.08% 0.24%
78 80 0.26% 0.24%
79 77 4.34% 0.23%
79 77 2.32% 0.23%
80 76 0.53% 0.23%
80 76 0.84% 0.23%
81 75 0.09% 0.23%
82 74 5.89% 0.22%
83 72 3.67% 0.22%
84 71 0.52% 0.21%
84 71 0.33% 0.21%
85 69 0.25% 0.21%
86 68 0.20% 0.21%
86 68 0.14% 0.21%
86 68 0.01% 0.21%
87 67 3.58% 0.20%
87 67 0.16% 0.20%
87 67 0.45% 0.20%
87 67 0.28% 0.20%
88 66 0.25% 0.20%
88 66 0.15% 0.20%
88 66 2.96% 0.20%
88 66 0.21% 0.20%
88 66 0.54% 0.20%
88 66 0.82% 0.20%
89 65 0.12% 0.20%
90 64 0.84% 0.19%
91 63 0.81% 0.19%
91 63 1.08% 0.19%
91 63 3.65% 0.19%
91 63 3.27% 0.19%
92 62 3.70% 0.19%
93 61 0.52% 0.18%
93 61 0.14% 0.18%
94 60 1.42% 0.18%
94 60 0.13% 0.18%
95 59 0.82% 0.18%
95 59 2.43% 0.18%
95 59 0.13% 0.18%
96 58 0.22% 0.18%
96 58 6.12% 0.18%
96 58 0.32% 0.18%
97 57 1.78% 0.17%
97 57 1.37% 0.17%
97 57 0.28% 0.17%
97 57 0.70% 0.17%
98 56 0.39% 0.17%
99 55 0.34% 0.17%
100 54 0.88% 0.16%
100 54 1.94% 0.16%
101 53 0.44% 0.16%
101 53 0.57% 0.16%
101 53 0.33% 0.16%
101 53 0.17% 0.16%
101 53 0.09% 0.16%
102 52 0.30% 0.16%
103 51 0.16% 0.15%
103 51 0.39% 0.15%
103 51 0.31% 0.15%
104 50 0.07% 0.15%
104 50 0.13% 0.15%
104 50 0.43% 0.15%
104 50 2.76% 0.15%
105 49 0.15% 0.15%
105 49 0.83% 0.15%
105 49 0.50% 0.15%
105 49 0.21% 0.15%
105 49 0.26% 0.15%
105 49 1.05% 0.15%
106 48 1.19% 0.14%
106 48 1.47% 0.14%
106 48 0.16% 0.14%
106 48 2.52% 0.14%
106 48 1.00% 0.14%
106 48 0.17% 0.14%
107 47 0.19% 0.14%
107 47 0.15% 0.14%
108 46 2.04% 0.14%
108 46 0.43% 0.14%
108 46 0.16% 0.14%
108 46 0.88% 0.14%
109 45 1.37% 0.14%
109 45 0.21% 0.14%
109 45 0.28% 0.14%
109 45 0.36% 0.14%
110 44 1.03% 0.13%
110 44 1.46% 0.13%
110 44 0.66% 0.13%
110 44 2.74% 0.13%
110 44 0.91% 0.13%
111 43 0.59% 0.13%
111 43 2.42% 0.13%
111 43 0.05% 0.13%
111 43 0.42% 0.13%
111 43 0.11% 0.13%
111 43 0.61% 0.13%
111 43 0.08% 0.13%
111 43 0.94% 0.13%
111 43 0.07% 0.13%
112 42 2.18% 0.13%
112 42 0.94% 0.13%
112 42 0.40% 0.13%
112 42 1.85% 0.13%
112 42 2.65% 0.13%
112 42 0.23% 0.13%
113 41 1.56% 0.12%
113 41 0.11% 0.12%
113 41 0.12% 0.12%
113 41 0.48% 0.12%
113 41 0.27% 0.12%
114 40 0.68% 0.12%
114 40 1.61% 0.12%
114 40 0.97% 0.12%
114 40 2.33% 0.12%
114 40 0.15% 0.12%
114 40 0.83% 0.12%
114 40 0.43% 0.12%
115 39 1.21% 0.12%
115 39 0.72% 0.12%
115 39 1.29% 0.12%
115 39 2.23% 0.12%
116 38 1.11% 0.11%
116 38 0.78% 0.11%
116 38 1.99% 0.11%
116 38 1.11% 0.11%
116 38 0.16% 0.11%
117 37 0.55% 0.11%
117 37 0.78% 0.11%
117 37 0.57% 0.11%
117 37 0.70% 0.11%
117 37 0.29% 0.11%
118 36 0.69% 0.11%
118 36 0.85% 0.11%
118 36 0.38% 0.11%
118 36 1.64% 0.11%
118 36 2.53% 0.11%
118 36 1.13% 0.11%
119 35 2.44% 0.11%
119 35 2.85% 0.11%
119 35 0.47% 0.11%
119 35 0.64% 0.11%
120 34 0.24% 0.10%
120 34 0.26% 0.10%
120 34 0.45% 0.10%
120 34 2.02% 0.10%
121 33 0.28% 0.10%
121 33 0.35% 0.10%
121 33 0.40% 0.10%
121 33 1.18% 0.10%
121 33 1.85% 0.10%
122 32 1.69% 0.10%
122 32 0.39% 0.10%
122 32 0.11% 0.10%
122 32 0.86% 0.10%
122 32 0.85% 0.10%
122 32 3.18% 0.10%
122 32 0.85% 0.10%
122 32 0.10% 0.10%
123 31 0.07% 0.09%
123 31 0.13% 0.09%
123 31 1.27% 0.09%
123 31 0.53% 0.09%
123 31 0.23% 0.09%
124 30 0.25% 0.09%
124 30 0.96% 0.09%
124 30 1.00% 0.09%
124 30 2.49% 0.09%
124 30 0.31% 0.09%
124 30 0.14% 0.09%
124 30 0.41% 0.09%
124 30 0.25% 0.09%
124 30 0.11% 0.09%
124 30 0.60% 0.09%
125 29 0.39% 0.09%
125 29 0.14% 0.09%
125 29 1.04% 0.09%
125 29 0.26% 0.09%
126 28 1.19% 0.08%
126 28 0.42% 0.08%
126 28 0.14% 0.08%
127 27 0.17% 0.08%
127 27 1.11% 0.08%
127 27 0.11% 0.08%
127 27 2.66% 0.08%
127 27 0.33% 0.08%
127 27 0.60% 0.08%
127 27 1.02% 0.08%
128 26 0.19% 0.08%
128 26 1.19% 0.08%
128 26 0.78% 0.08%
128 26 1.40% 0.08%
129 25 0.05% 0.08%
129 25 0.14% 0.08%
129 25 0.39% 0.08%
129 25 0.30% 0.08%
129 25 0.15% 0.08%
129 25 0.99% 0.08%
129 25 0.99% 0.08%
129 25 2.19% 0.08%
129 25 0.83% 0.08%
130 24 1.22% 0.07%
130 24 0.47% 0.07%
130 24 0.59% 0.07%
130 24 1.10% 0.07%
130 24 0.90% 0.07%
130 24 0.49% 0.07%
130 24 1.95% 0.07%
130 24 0.25% 0.07%
130 24 0.15% 0.07%
130 24 0.07% 0.07%
130 24 0.69% 0.07%
130 24 1.24% 0.07%
130 24 0.11% 0.07%
130 24 2.38% 0.07%
130 24 1.16% 0.07%
130 24 0.88% 0.07%
130 24 0.15% 0.07%
130 24 0.97% 0.07%
131 23 1.84% 0.07%
131 23 1.77% 0.07%
131 23 1.18% 0.07%
131 23 0.14% 0.07%
131 23 0.10% 0.07%
131 23 0.08% 0.07%
131 23 1.92% 0.07%
131 23 2.32% 0.07%
131 23 0.42% 0.07%
131 23 1.24% 0.07%
131 23 0.39% 0.07%
132 22 0.19% 0.07%
132 22 0.47% 0.07%
132 22 0.82% 0.07%
132 22 0.23% 0.07%
132 22 0.35% 0.07%
132 22 0.17% 0.07%
132 22 0.25% 0.07%
132 22 0.24% 0.07%
133 21 1.14% 0.06%
133 21 0.39% 0.06%
133 21 0.14% 0.06%
133 21 1.75% 0.06%
133 21 0.68% 0.06%
133 21 0.99% 0.06%
133 21 0.51% 0.06%
133 21 0.22% 0.06%
133 21 0.07% 0.06%
133 21 0.72% 0.06%
133 21 2.36% 0.06%
133 21 1.02% 0.06%
133 21 0.11% 0.06%
133 21 0.34% 0.06%
134 20 0.11% 0.06%
134 20 0.18% 0.06%
134 20 0.24% 0.06%
134 20 0.23% 0.06%
134 20 1.91% 0.06%
134 20 1.50% 0.06%
134 20 0.17% 0.06%
134 20 0.95% 0.06%
135 19 1.41% 0.06%
135 19 1.68% 0.06%
135 19 0.41% 0.06%
135 19 0.06% 0.06%
135 19 0.95% 0.06%
135 19 0.95% 0.06%
135 19 1.80% 0.06%
135 19 2.05% 0.06%
135 19 1.76% 0.06%
136 18 0.54% 0.05%
136 18 0.28% 0.05%
136 18 0.24% 0.05%
136 18 1.41% 0.05%
136 18 0.42% 0.05%
136 18 0.24% 0.05%
136 18 0.22% 0.05%
136 18 0.09% 0.05%
136 18 0.24% 0.05%
136 18 1.33% 0.05%
136 18 2.93% 0.05%
137 17 0.34% 0.05%
137 17 0.34% 0.05%
137 17 0.56% 0.05%
137 17 0.16% 0.05%
137 17 0.28% 0.05%
137 17 0.74% 0.05%
137 17 2.05% 0.05%
137 17 0.10% 0.05%
137 17 1.93% 0.05%
137 17 2.23% 0.05%
137 17 0.25% 0.05%
137 17 1.29% 0.05%
137 17 0.21% 0.05%
137 17 0.18% 0.05%
137 17 0.12% 0.05%
137 17 0.23% 0.05%
137 17 0.45% 0.05%
137 17 0.52% 0.05%
137 17 0.56% 0.05%
137 17 0.32% 0.05%
137 17 0.90% 0.05%
138 16 0.97% 0.05%
138 16 0.24% 0.05%
138 16 2.12% 0.05%
138 16 0.97% 0.05%
138 16 0.35% 0.05%
138 16 0.22% 0.05%
138 16 0.14% 0.05%
138 16 0.13% 0.05%
139 15 0.16% 0.05%
139 15 0.36% 0.05%
139 15 1.00% 0.05%
139 15 0.28% 0.05%
139 15 0.37% 0.05%
139 15 0.58% 0.05%
139 15 0.87% 0.05%
139 15 1.56% 0.05%
139 15 0.26% 0.05%
139 15 0.58% 0.05%
139 15 0.29% 0.05%
139 15 0.23% 0.05%
139 15 0.70% 0.05%
139 15 0.22% 0.05%
139 15 0.17% 0.05%
139 15 0.31% 0.05%
139 15 0.77% 0.05%
139 15 0.15% 0.05%
139 15 1.11% 0.05%
139 15 0.51% 0.05%
139 15 0.33% 0.05%
139 15 0.99% 0.05%
139 15 0.85% 0.05%
140 14 0.88% 0.04%
140 14 0.13% 0.04%
140 14 1.01% 0.04%
140 14 0.19% 0.04%
140 14 0.05% 0.04%
140 14 1.04% 0.04%
140 14 0.58% 0.04%
140 14 0.19% 0.04%
140 14 0.43% 0.04%
140 14 0.65% 0.04%
140 14 0.73% 0.04%
141 13 0.23% 0.04%
141 13 0.38% 0.04%
141 13 0.19% 0.04%
141 13 0.26% 0.04%
141 13 0.61% 0.04%
141 13 0.32% 0.04%
141 13 0.23% 0.04%
141 13 0.13% 0.04%
141 13 0.82% 0.04%
141 13 0.14% 0.04%
141 13 0.06% 0.04%
141 13 0.92% 0.04%
141 13 0.19% 0.04%
142 12 0.41% 0.04%
142 12 0.45% 0.04%
142 12 2.26% 0.04%
142 12 0.30% 0.04%
142 12 0.70% 0.04%
142 12 0.08% 0.04%
142 12 0.29% 0.04%
142 12 0.56% 0.04%
142 12 0.05% 0.04%
142 12 0.10% 0.04%
142 12 0.13% 0.04%
142 12 1.50% 0.04%
142 12 0.69% 0.04%
142 12 0.35% 0.04%
142 12 0.14% 0.04%
142 12 0.40% 0.04%
142 12 0.16% 0.04%
142 12 0.06% 0.04%
142 12 0.35% 0.04%
142 12 0.17% 0.04%
142 12 1.15% 0.04%
142 12 2.00% 0.04%
142 12 0.12% 0.04%
142 12 0.02% 0.04%
142 12 0.29% 0.04%
142 12 0.08% 0.04%
142 12 0.77% 0.04%
142 12 0.30% 0.04%
143 11 0.62% 0.03%
143 11 0.15% 0.03%
143 11 0.42% 0.03%
143 11 0.17% 0.03%
143 11 0.15% 0.03%
143 11 0.42% 0.03%
143 11 0.59% 0.03%
143 11 0.30% 0.03%
143 11 0.34% 0.03%
143 11 0.43% 0.03%
143 11 0.10% 0.03%
143 11 0.42% 0.03%
143 11 0.31% 0.03%
143 11 0.65% 0.03%
143 11 0.04% 0.03%
143 11 0.28% 0.03%
143 11 0.85% 0.03%
143 11 0.28% 0.03%
143 11 0.98% 0.03%
143 11 0.19% 0.03%
144 10 0.17% 0.03%
144 10 0.84% 0.03%
144 10 0.25% 0.03%
144 10 0.20% 0.03%
144 10 0.12% 0.03%
144 10 0.16% 0.03%
144 10 0.07% 0.03%
144 10 0.48% 0.03%
144 10 0.17% 0.03%
144 10 0.61% 0.03%
144 10 0.55% 0.03%
144 10 0.28% 0.03%
144 10 0.05% 0.03%
144 10 1.10% 0.03%
144 10 1.05% 0.03%
144 10 1.07% 0.03%
144 10 0.47% 0.03%
144 10 0.15% 0.03%
144 10 0.14% 0.03%
145 9 0.47% 0.03%
145 9 0.13% 0.03%
145 9 0.03% 0.03%
145 9 0.27% 0.03%
145 9 0.18% 0.03%
145 9 0.48% 0.03%
145 9 0.17% 0.03%
145 9 0.29% 0.03%
145 9 0.60% 0.03%
145 9 0.25% 0.03%
145 9 0.20% 0.03%
145 9 0.05% 0.03%
145 9 0.61% 0.03%
145 9 0.25% 0.03%
145 9 0.38% 0.03%
145 9 0.20% 0.03%
145 9 1.09% 0.03%
145 9 0.29% 0.03%
145 9 0.03% 0.03%
145 9 0.11% 0.03%
145 9 0.47% 0.03%
145 9 0.18% 0.03%
145 9 0.67% 0.03%
145 9 0.18% 0.03%
145 9 0.72% 0.03%
145 9 0.20% 0.03%
145 9 0.06% 0.03%
146 8 0.09% 0.02%
146 8 0.40% 0.02%
146 8 0.42% 0.02%
146 8 0.21% 0.02%
146 8 0.48% 0.02%
146 8 0.22% 0.02%
146 8 0.11% 0.02%
146 8 0.36% 0.02%
146 8 0.03% 0.02%
146 8 0.31% 0.02%
146 8 0.17% 0.02%
146 8 0.15% 0.02%
146 8 0.05% 0.02%
146 8 0.52% 0.02%
146 8 1.00% 0.02%
146 8 1.03% 0.02%
146 8 0.13% 0.02%
146 8 0.68% 0.02%
146 8 0.59% 0.02%
146 8 0.21% 0.02%
146 8 0.62% 0.02%
146 8 0.30% 0.02%
146 8 0.23% 0.02%
146 8 0.14% 0.02%
146 8 0.11% 0.02%
146 8 0.35% 0.02%
146 8 0.01% 0.02%
146 8 0.32% 0.02%
146 8 0.18% 0.02%
146 8 0.02% 0.02%
147 7 0.40% 0.02%
147 7 0.41% 0.02%
147 7 0.39% 0.02%
147 7 0.06% 0.02%
147 7 0.65% 0.02%
147 7 0.25% 0.02%
147 7 0.17% 0.02%
147 7 0.23% 0.02%
147 7 0.22% 0.02%
147 7 0.06% 0.02%
147 7 1.01% 0.02%
147 7 1.24% 0.02%
147 7 0.11% 0.02%
147 7 0.27% 0.02%
147 7 0.11% 0.02%
147 7 0.04% 0.02%
147 7 0.05% 0.02%
147 7 0.75% 0.02%
147 7 0.20% 0.02%
147 7 0.15% 0.02%
147 7 0.27% 0.02%
147 7 1.00% 0.02%
147 7 0.06% 0.02%
147 7 0.12% 0.02%
147 7 0.64% 0.02%
147 7 0.37% 0.02%
147 7 0.08% 0.02%
147 7 0.78% 0.02%
147 7 0.62% 0.02%
147 7 0.26% 0.02%
147 7 0.06% 0.02%
147 7 0.34% 0.02%
147 7 0.06% 0.02%
147 7 0.44% 0.02%
147 7 0.36% 0.02%
148 6 0.34% 0.02%
148 6 0.88% 0.02%
148 6 0.34% 0.02%
148 6 0.56% 0.02%
148 6 0.10% 0.02%
148 6 0.24% 0.02%
148 6 0.17% 0.02%
148 6 0.22% 0.02%
148 6 0.96% 0.02%
148 6 0.28% 0.02%
148 6 0.28% 0.02%
148 6 0.32% 0.02%
148 6 0.31% 0.02%
148 6 0.21% 0.02%
148 6 0.21% 0.02%
148 6 0.33% 0.02%
148 6 0.58% 0.02%
148 6 0.06% 0.02%
148 6 0.49% 0.02%
148 6 0.05% 0.02%
148 6 0.25% 0.02%
148 6 0.01% 0.02%
148 6 0.31% 0.02%
148 6 0.32% 0.02%
148 6 0.08% 0.02%
148 6 0.08% 0.02%
148 6 0.25% 0.02%
148 6 0.59% 0.02%
148 6 0.23% 0.02%
148 6 0.29% 0.02%
148 6 0.22% 0.02%
148 6 0.15% 0.02%
149 5 0.19% 0.02%
149 5 0.05% 0.02%
149 5 0.21% 0.02%
149 5 0.40% 0.02%
149 5 0.67% 0.02%
149 5 0.25% 0.02%
149 5 0.08% 0.02%
149 5 0.46% 0.02%
149 5 0.38% 0.02%
149 5 0.16% 0.02%
149 5 0.19% 0.02%
149 5 0.11% 0.02%
149 5 0.20% 0.02%
149 5 0.25% 0.02%
149 5 0.25% 0.02%
149 5 0.28% 0.02%
149 5 0.70% 0.02%
149 5 0.25% 0.02%
149 5 0.19% 0.02%
149 5 0.09% 0.02%
149 5 0.32% 0.02%
149 5 0.49% 0.02%
149 5 0.40% 0.02%
149 5 0.07% 0.02%
149 5 0.43% 0.02%
149 5 0.32% 0.02%
149 5 0.34% 0.02%
149 5 0.19% 0.02%
149 5 0.24% 0.02%
149 5 0.05% 0.02%
149 5 0.55% 0.02%
149 5 0.14% 0.02%
149 5 0.22% 0.02%
149 5 0.09% 0.02%
149 5 0.19% 0.02%
149 5 0.20% 0.02%
149 5 0.58% 0.02%
149 5 0.10% 0.02%
150 4 0.09% 0.01%
150 4 0.16% 0.01%
150 4 0.28% 0.01%
150 4 0.15% 0.01%
150 4 0.21% 0.01%
150 4 0.10% 0.01%
150 4 0.44% 0.01%
150 4 0.21% 0.01%
150 4 0.21% 0.01%
150 4 0.24% 0.01%
150 4 0.15% 0.01%
150 4 0.05% 0.01%
150 4 0.62% 0.01%
150 4 0.25% 0.01%
150 4 0.30% 0.01%
150 4 0.22% 0.01%
150 4 0.03% 0.01%
150 4 0.17% 0.01%
150 4 0.26% 0.01%
150 4 0.38% 0.01%
150 4 0.29% 0.01%
150 4 0.16% 0.01%
150 4 0.24% 0.01%
150 4 0.15% 0.01%
150 4 0.22% 0.01%
150 4 0.25% 0.01%
150 4 0.19% 0.01%
150 4 0.67% 0.01%
150 4 0.40% 0.01%
150 4 0.40% 0.01%
150 4 0.13% 0.01%
150 4 0.77% 0.01%
150 4 0.26% 0.01%
150 4 0.35% 0.01%
150 4 0.10% 0.01%
150 4 0.29% 0.01%
150 4 0.23% 0.01%
150 4 0.22% 0.01%
150 4 0.54% 0.01%
150 4 0.15% 0.01%
150 4 0.10% 0.01%
151 3 0.17% 0.01%
151 3 0.13% 0.01%
151 3 0.32% 0.01%
151 3 0.75% 0.01%
151 3 0.06% 0.01%
151 3 0.39% 0.01%
151 3 0.33% 0.01%
151 3 0.06% 0.01%
151 3 0.31% 0.01%
151 3 0.15% 0.01%
151 3 0.13% 0.01%
151 3 0.18% 0.01%
151 3 0.14% 0.01%
151 3 0.25% 0.01%
151 3 0.05% 0.01%
151 3 0.22% 0.01%
151 3 0.08% 0.01%
151 3 0.16% 0.01%
151 3 0.24% 0.01%
151 3 0.17% 0.01%
151 3 0.26% 0.01%
151 3 0.38% 0.01%
151 3 0.17% 0.01%
151 3 0.16% 0.01%
151 3 0.40% 0.01%
151 3 0.11% 0.01%
151 3 0.10% 0.01%
151 3 0.44% 0.01%
151 3 0.30% 0.01%
151 3 0.16% 0.01%
151 3 0.18% 0.01%
151 3 0.11% 0.01%
151 3 0.31% 0.01%
151 3 0.28% 0.01%
151 3 0.18% 0.01%
151 3 0.10% 0.01%
151 3 0.23% 0.01%
151 3 0.40% 0.01%
151 3 0.14% 0.01%
151 3 0.21% 0.01%
151 3 0.44% 0.01%
151 3 0.19% 0.01%
151 3 0.32% 0.01%
151 3 0.11% 0.01%
151 3 0.18% 0.01%
151 3 0.10% 0.01%
151 3 0.21% 0.01%
151 3 0.17% 0.01%
151 3 0.19% 0.01%
151 3 0.15% 0.01%
151 3 0.28% 0.01%
151 3 0.11% 0.01%
151 3 0.24% 0.01%
151 3 0.05% 0.01%
151 3 0.32% 0.01%
151 3 0.20% 0.01%
151 3 0.28% 0.01%
151 3 0.22% 0.01%
151 3 0.05% 0.01%
152 2 0.12% 0.01%
152 2 0.24% 0.01%
152 2 0.15% 0.01%
152 2 0.18% 0.01%
152 2 0.11% 0.01%
152 2 0.11% 0.01%
152 2 0.20% 0.01%
152 2 0.10% 0.01%
152 2 0.03% 0.01%
152 2 0.17% 0.01%
152 2 0.17% 0.01%
152 2 0.30% 0.01%
152 2 0.04% 0.01%
152 2 0.28% 0.01%
152 2 0.10% 0.01%
152 2 0.28% 0.01%
152 2 0.11% 0.01%
152 2 0.10% 0.01%
152 2 0.12% 0.01%
152 2 0.25% 0.01%
152 2 0.28% 0.01%
152 2 0.29% 0.01%
152 2 0.06% 0.01%
152 2 0.22% 0.01%
152 2 0.18% 0.01%
152 2 0.10% 0.01%
152 2 0.15% 0.01%
152 2 0.04% 0.01%
152 2 0.24% 0.01%
153 1 0.05% 0.00%
153 1 0.15% 0.00%
153 1 0.01% 0.00%
153 1 0.04% 0.00%
153 1 0.14% 0.00%
153 1 0.02% 0.00%
153 1 0.04% 0.00%
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 0 - -
154 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 Swiss population, using the most recent ACS data available.

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

How We Ranked the Data

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

Sources

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