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

The Danish population in New York is reported as 29,534, with the largest concentrations in cities like New York (7,760), Manhattan borough (3,162), and Brooklyn borough (2,953). 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 Danish communities take shape across New York and how these patterns compare with other states across the nation.

Top 5 cities with the largest Danish population in New York

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  • 1
    New York
    Danish population in New York is 7,760
    0.09% of New York population is Danish
  • 2
    Manhattan borough
    Danish population in Manhattan borough is 3,162
    0.19% of Manhattan borough population is Danish
  • 3
    Brooklyn borough
    Danish population in Brooklyn borough is 2,953
    0.11% of Brooklyn borough population is Danish
  • 4
    Queens borough
    Danish population in Queens borough is 983
    0.04% of Queens borough population is Danish
  • 5
    Hempstead town
    Danish population in Hempstead town is 956
    0.12% of Hempstead town population is Danish

Overview of Danish population in New York

  • Population Count and Percentage: American Community Survey data indicate New York contains 29,534 Danish residents (0.15% of 19.9 million total state population), positioning the state at the 68th percentile nationally among U.S. states for Danish population concentrations.
  • Comparison to State and National Averages: U.S. Census surveys show New York's Danish demographic representation of 0.15% remains below the national average of 0.35%, positioning the state below typical U.S. demographic distribution patterns.
  • Share of Total National Population: Official American Community Survey records show New York hosts 29,534 Danish residents, representing 2.5% of the nation's total Danish population of 1.2 million, 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 show New York maintains 0.63 Danish Americans per square mile compared to the national average of 0.33, indicating higher demographic concentration relative to national averages.
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1,430 Cities in New York Ranked by Danish Population

View Methodology
American Community Survey data [1] show Danish 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 Danish population count
Rank by Danish Population
City
Danish Population
% of Total City Population
% of Total New York Danish Population
5 Year Rank Trend
1 New York 7,760 0.09% 26.27%
2 Manhattan borough 3,162 0.19% 10.71%
3 Brooklyn borough 2,953 0.11% 10.00%
4 Queens borough 983 0.04% 3.33%
5 Hempstead town 956 0.12% 3.24%
6 Brookhaven town 874 0.18% 2.96%
7 Huntington town 773 0.38% 2.62%
8 543 0.75% 1.84%
9 478 0.14% 1.62%
10 438 5.34% 1.48%
11 433 0.14% 1.47%
12 394 0.08% 1.33%
13 342 0.14% 1.16%
14 277 4.05% 0.94%
15 268 0.02% 0.91%
16 258 5.38% 0.87%
17 241 0.09% 0.82%
18 228 1.00% 0.77%
19 209 0.14% 0.71%
20 208 0.22% 0.70%
21 206 0.56% 0.70%
22 200 0.78% 0.68%
23 198 0.29% 0.67%
24 187 0.54% 0.63%
25 181 0.18% 0.61%
26 177 0.40% 0.60%
27 157 0.33% 0.53%
28 156 0.12% 0.53%
29 149 0.94% 0.50%
30 147 0.81% 0.50%
30 147 0.73% 0.50%
31 144 0.07% 0.49%
32 139 2.63% 0.47%
33 137 0.29% 0.46%
34 135 0.81% 0.46%
34 135 0.26% 0.46%
35 132 0.29% 0.45%
36 131 4.43% 0.44%
37 127 0.06% 0.43%
37 127 0.38% 0.43%
38 125 0.13% 0.42%
38 125 3.43% 0.42%
38 125 0.53% 0.42%
39 124 1.71% 0.42%
40 123 0.40% 0.42%
41 122 0.32% 0.41%
42 121 0.96% 0.41%
43 118 3.10% 0.40%
43 118 1.04% 0.40%
44 113 1.68% 0.38%
44 113 4.32% 0.38%
45 110 5.21% 0.37%
46 108 0.05% 0.37%
47 107 0.31% 0.36%
47 107 0.47% 0.36%
47 107 0.51% 0.36%
48 105 0.07% 0.36%
48 105 0.18% 0.36%
49 104 0.49% 0.35%
50 102 0.48% 0.35%
51 100 0.14% 0.34%
52 99 0.16% 0.34%
53 98 0.38% 0.33%
54 97 0.25% 0.33%
55 95 0.85% 0.32%
55 95 0.33% 0.32%
55 95 0.33% 0.32%
55 95 0.47% 0.32%
55 95 0.86% 0.32%
56 93 2.31% 0.31%
56 93 0.49% 0.31%
57 92 0.15% 0.31%
57 92 0.57% 0.31%
58 90 0.24% 0.30%
58 90 0.29% 0.30%
58 90 1.64% 0.30%
59 89 0.33% 0.30%
59 89 0.23% 0.30%
60 88 0.29% 0.30%
61 86 0.10% 0.29%
62 84 0.69% 0.28%
63 81 1.64% 0.27%
63 81 0.17% 0.27%
63 81 0.29% 0.27%
64 80 0.56% 0.27%
64 80 0.07% 0.27%
65 79 0.67% 0.27%
65 79 0.22% 0.27%
65 79 1.07% 0.27%
66 78 1.18% 0.26%
67 75 0.54% 0.25%
67 75 0.55% 0.25%
67 75 0.57% 0.25%
68 73 0.49% 0.25%
69 72 0.98% 0.24%
70 71 0.77% 0.24%
71 70 1.71% 0.24%
71 70 1.79% 0.24%
71 70 0.21% 0.24%
72 68 0.21% 0.23%
72 68 0.15% 0.23%
73 67 0.20% 0.23%
74 66 0.52% 0.22%
74 66 1.10% 0.22%
74 66 0.27% 0.22%
75 65 3.45% 0.22%
75 65 0.16% 0.22%
75 65 0.81% 0.22%
75 65 1.13% 0.22%
75 65 1.92% 0.22%
76 64 1.58% 0.22%
76 64 0.22% 0.22%
76 64 0.36% 0.22%
77 63 0.76% 0.21%
78 61 5.62% 0.21%
78 61 2.23% 0.21%
78 61 0.65% 0.21%
79 60 0.49% 0.20%
79 60 0.45% 0.20%
80 59 0.85% 0.20%
80 59 0.96% 0.20%
81 58 0.20% 0.20%
82 56 0.21% 0.19%
83 55 0.19% 0.19%
84 54 1.97% 0.18%
85 53 0.81% 0.18%
86 52 0.15% 0.18%
86 52 0.60% 0.18%
86 52 0.24% 0.18%
86 52 0.68% 0.18%
87 51 0.35% 0.17%
87 51 0.20% 0.17%
87 51 1.47% 0.17%
87 51 4.97% 0.17%
88 50 0.06% 0.17%
89 49 0.19% 0.17%
89 49 0.46% 0.17%
89 49 0.19% 0.17%
89 49 1.08% 0.17%
89 49 0.34% 0.17%
90 48 1.11% 0.16%
90 48 0.63% 0.16%
90 48 0.52% 0.16%
91 47 0.28% 0.16%
91 47 0.11% 0.16%
91 47 0.10% 0.16%
92 46 0.27% 0.16%
92 46 0.06% 0.16%
92 46 0.17% 0.16%
93 45 0.48% 0.15%
93 45 0.61% 0.15%
93 45 0.33% 0.15%
93 45 0.60% 0.15%
94 44 0.48% 0.15%
95 43 0.72% 0.15%
96 42 0.13% 0.14%
96 42 0.68% 0.14%
96 42 0.97% 0.14%
96 42 0.43% 0.14%
96 42 0.57% 0.14%
96 42 0.58% 0.14%
96 42 0.33% 0.14%
96 42 2.24% 0.14%
97 41 2.18% 0.14%
97 41 1.04% 0.14%
97 41 0.61% 0.14%
97 41 0.13% 0.14%
97 41 0.14% 0.14%
98 40 0.26% 0.14%
98 40 1.21% 0.14%
98 40 0.15% 0.14%
98 40 0.56% 0.14%
98 40 0.22% 0.14%
98 40 0.49% 0.14%
99 39 0.46% 0.13%
100 38 0.66% 0.13%
100 38 0.08% 0.13%
100 38 0.58% 0.13%
100 38 0.08% 0.13%
101 37 0.13% 0.13%
101 37 0.21% 0.13%
101 37 0.32% 0.13%
101 37 0.46% 0.13%
101 37 0.12% 0.13%
102 36 0.61% 0.12%
102 36 2.13% 0.12%
102 36 0.74% 0.12%
102 36 0.51% 0.12%
103 35 0.04% 0.12%
103 35 1.05% 0.12%
103 35 1.29% 0.12%
103 35 0.23% 0.12%
104 34 0.65% 0.12%
105 33 0.78% 0.11%
105 33 0.27% 0.11%
105 33 0.14% 0.11%
105 33 0.23% 0.11%
105 33 0.47% 0.11%
105 33 0.72% 0.11%
106 32 0.23% 0.11%
106 32 0.59% 0.11%
106 32 1.28% 0.11%
106 32 0.35% 0.11%
106 32 3.02% 0.11%
107 31 0.40% 0.11%
107 31 0.47% 0.11%
107 31 0.18% 0.11%
107 31 0.04% 0.11%
107 31 0.30% 0.11%
108 30 0.45% 0.10%
108 30 1.68% 0.10%
108 30 0.50% 0.10%
108 30 2.36% 0.10%
109 29 0.40% 0.10%
109 29 0.19% 0.10%
109 29 0.20% 0.10%
109 29 0.51% 0.10%
110 28 1.58% 0.09%
110 28 0.56% 0.09%
110 28 0.23% 0.09%
110 28 0.34% 0.09%
110 28 0.09% 0.09%
110 28 0.06% 0.09%
111 27 2.65% 0.09%
111 27 0.28% 0.09%
111 27 0.10% 0.09%
111 27 1.72% 0.09%
111 27 0.65% 0.09%
111 27 0.09% 0.09%
111 27 0.09% 0.09%
112 26 0.99% 0.09%
112 26 0.72% 0.09%
112 26 1.32% 0.09%
112 26 1.52% 0.09%
112 26 0.52% 0.09%
112 26 0.20% 0.09%
112 26 0.14% 0.09%
113 25 0.30% 0.08%
113 25 0.39% 0.08%
113 25 0.04% 0.08%
114 24 0.22% 0.08%
114 24 0.12% 0.08%
114 24 1.33% 0.08%
114 24 0.74% 0.08%
115 23 0.29% 0.08%
115 23 0.38% 0.08%
115 23 1.23% 0.08%
115 23 0.51% 0.08%
115 23 0.96% 0.08%
115 23 0.23% 0.08%
115 23 0.29% 0.08%
115 23 0.41% 0.08%
115 23 0.06% 0.08%
116 22 0.57% 0.07%
116 22 0.19% 0.07%
116 22 0.62% 0.07%
116 22 0.49% 0.07%
116 22 1.48% 0.07%
116 22 0.07% 0.07%
116 22 1.19% 0.07%
116 22 2.31% 0.07%
116 22 0.52% 0.07%
116 22 2.31% 0.07%
116 22 1.31% 0.07%
116 22 0.41% 0.07%
117 21 0.22% 0.07%
117 21 0.84% 0.07%
117 21 0.63% 0.07%
117 21 0.16% 0.07%
117 21 2.35% 0.07%
117 21 0.94% 0.07%
117 21 0.75% 0.07%
117 21 0.20% 0.07%
117 21 1.07% 0.07%
117 21 0.07% 0.07%
117 21 0.80% 0.07%
118 20 2.36% 0.07%
118 20 0.37% 0.07%
118 20 0.24% 0.07%
118 20 0.49% 0.07%
118 20 0.50% 0.07%
118 20 0.31% 0.07%
118 20 0.29% 0.07%
118 20 0.21% 0.07%
118 20 2.07% 0.07%
118 20 0.73% 0.07%
118 20 0.06% 0.07%
118 20 0.06% 0.07%
118 20 0.72% 0.07%
118 20 0.80% 0.07%
118 20 0.44% 0.07%
118 20 0.13% 0.07%
118 20 0.32% 0.07%
119 19 0.10% 0.06%
119 19 0.16% 0.06%
119 19 0.36% 0.06%
119 19 0.37% 0.06%
119 19 0.33% 0.06%
120 18 0.15% 0.06%
120 18 1.32% 0.06%
120 18 0.65% 0.06%
120 18 0.25% 0.06%
120 18 0.90% 0.06%
120 18 0.28% 0.06%
120 18 0.08% 0.06%
120 18 0.82% 0.06%
120 18 1.46% 0.06%
120 18 0.57% 0.06%
120 18 0.45% 0.06%
120 18 0.18% 0.06%
120 18 0.29% 0.06%
121 17 0.85% 0.06%
121 17 0.52% 0.06%
121 17 1.13% 0.06%
121 17 0.42% 0.06%
121 17 0.74% 0.06%
121 17 0.14% 0.06%
121 17 0.13% 0.06%
121 17 0.15% 0.06%
121 17 1.20% 0.06%
121 17 0.08% 0.06%
121 17 0.49% 0.06%
121 17 0.80% 0.06%
121 17 0.70% 0.06%
121 17 0.29% 0.06%
121 17 0.35% 0.06%
122 16 0.26% 0.05%
122 16 0.82% 0.05%
122 16 1.00% 0.05%
122 16 0.33% 0.05%
122 16 0.40% 0.05%
122 16 0.46% 0.05%
122 16 0.52% 0.05%
122 16 0.31% 0.05%
122 16 0.35% 0.05%
122 16 0.09% 0.05%
122 16 0.08% 0.05%
122 16 1.14% 0.05%
122 16 1.73% 0.05%
122 16 0.44% 0.05%
122 16 0.76% 0.05%
123 15 1.25% 0.05%
123 15 0.49% 0.05%
123 15 2.21% 0.05%
123 15 0.47% 0.05%
123 15 0.24% 0.05%
123 15 0.15% 0.05%
123 15 0.40% 0.05%
123 15 0.18% 0.05%
123 15 0.27% 0.05%
123 15 0.13% 0.05%
123 15 0.03% 0.05%
123 15 0.26% 0.05%
123 15 0.47% 0.05%
124 14 0.20% 0.05%
124 14 0.44% 0.05%
124 14 0.56% 0.05%
124 14 0.07% 0.05%
124 14 0.18% 0.05%
124 14 0.14% 0.05%
124 14 0.06% 0.05%
124 14 0.29% 0.05%
124 14 1.48% 0.05%
124 14 0.09% 0.05%
124 14 0.74% 0.05%
124 14 0.72% 0.05%
124 14 0.71% 0.05%
124 14 1.07% 0.05%
124 14 0.24% 0.05%
125 13 0.13% 0.04%
125 13 0.10% 0.04%
125 13 0.83% 0.04%
125 13 0.19% 0.04%
125 13 0.27% 0.04%
125 13 0.79% 0.04%
125 13 0.82% 0.04%
125 13 0.84% 0.04%
125 13 0.09% 0.04%
125 13 0.25% 0.04%
125 13 0.76% 0.04%
125 13 0.89% 0.04%
125 13 0.04% 0.04%
126 12 0.30% 0.04%
126 12 0.14% 0.04%
126 12 0.75% 0.04%
126 12 1.37% 0.04%
126 12 0.43% 0.04%
126 12 0.02% 0.04%
126 12 2.16% 0.04%
126 12 1.29% 0.04%
126 12 0.94% 0.04%
126 12 0.43% 0.04%
126 12 1.32% 0.04%
126 12 0.72% 0.04%
126 12 0.04% 0.04%
126 12 0.13% 0.04%
127 11 0.06% 0.04%
127 11 0.92% 0.04%
127 11 0.65% 0.04%
127 11 0.32% 0.04%
127 11 0.16% 0.04%
127 11 0.69% 0.04%
127 11 0.13% 0.04%
127 11 0.73% 0.04%
127 11 0.10% 0.04%
127 11 0.07% 0.04%
127 11 0.56% 0.04%
127 11 0.24% 0.04%
127 11 0.24% 0.04%
127 11 0.13% 0.04%
127 11 0.05% 0.04%
127 11 0.24% 0.04%
127 11 0.17% 0.04%
127 11 0.97% 0.04%
127 11 0.04% 0.04%
127 11 0.34% 0.04%
127 11 0.36% 0.04%
127 11 0.14% 0.04%
127 11 0.17% 0.04%
127 11 0.41% 0.04%
127 11 0.16% 0.04%
127 11 0.62% 0.04%
128 10 0.26% 0.03%
128 10 0.13% 0.03%
128 10 0.10% 0.03%
128 10 0.46% 0.03%
128 10 0.42% 0.03%
128 10 0.55% 0.03%
128 10 0.72% 0.03%
128 10 0.09% 0.03%
128 10 0.13% 0.03%
128 10 1.04% 0.03%
128 10 0.18% 0.03%
128 10 0.07% 0.03%
128 10 0.66% 0.03%
128 10 0.34% 0.03%
128 10 0.88% 0.03%
128 10 0.10% 0.03%
128 10 0.08% 0.03%
128 10 0.10% 0.03%
128 10 0.14% 0.03%
128 10 0.53% 0.03%
128 10 0.15% 0.03%
128 10 0.64% 0.03%
128 10 0.21% 0.03%
128 10 0.22% 0.03%
128 10 0.70% 0.03%
129 9 0.30% 0.03%
129 9 0.11% 0.03%
129 9 0.67% 0.03%
129 9 0.06% 0.03%
129 9 0.21% 0.03%
129 9 0.46% 0.03%
129 9 0.09% 0.03%
129 9 0.08% 0.03%
129 9 0.45% 0.03%
129 9 0.30% 0.03%
129 9 0.17% 0.03%
129 9 0.21% 0.03%
129 9 0.53% 0.03%
129 9 0.14% 0.03%
129 9 0.21% 0.03%
129 9 0.23% 0.03%
129 9 0.66% 0.03%
129 9 0.97% 0.03%
129 9 0.35% 0.03%
129 9 0.50% 0.03%
129 9 0.05% 0.03%
129 9 0.04% 0.03%
129 9 0.59% 0.03%
129 9 0.45% 0.03%
129 9 0.53% 0.03%
129 9 0.08% 0.03%
129 9 0.13% 0.03%
129 9 0.82% 0.03%
129 9 0.27% 0.03%
129 9 0.15% 0.03%
129 9 1.52% 0.03%
129 9 0.53% 0.03%
129 9 0.39% 0.03%
129 9 0.06% 0.03%
129 9 0.24% 0.03%
129 9 0.71% 0.03%
129 9 0.43% 0.03%
129 9 0.09% 0.03%
129 9 0.12% 0.03%
130 8 0.31% 0.03%
130 8 0.11% 0.03%
130 8 0.12% 0.03%
130 8 0.14% 0.03%
130 8 0.43% 0.03%
130 8 0.30% 0.03%
130 8 0.40% 0.03%
130 8 0.38% 0.03%
130 8 0.22% 0.03%
130 8 0.31% 0.03%
130 8 0.09% 0.03%
130 8 0.04% 0.03%
130 8 0.32% 0.03%
130 8 0.16% 0.03%
130 8 0.50% 0.03%
130 8 0.38% 0.03%
130 8 0.81% 0.03%
130 8 0.50% 0.03%
130 8 0.32% 0.03%
130 8 0.43% 0.03%
130 8 0.22% 0.03%
130 8 0.39% 0.03%
130 8 0.03% 0.03%
130 8 0.14% 0.03%
130 8 0.27% 0.03%
130 8 0.11% 0.03%
131 7 0.50% 0.02%
131 7 0.16% 0.02%
131 7 0.33% 0.02%
131 7 0.16% 0.02%
131 7 0.09% 0.02%
131 7 0.27% 0.02%
131 7 0.08% 0.02%
131 7 0.60% 0.02%
131 7 0.92% 0.02%
131 7 0.26% 0.02%
131 7 0.21% 0.02%
131 7 0.14% 0.02%
131 7 0.04% 0.02%
131 7 0.62% 0.02%
131 7 0.32% 0.02%
131 7 0.18% 0.02%
131 7 0.39% 0.02%
131 7 0.23% 0.02%
131 7 0.02% 0.02%
131 7 0.61% 0.02%
131 7 0.17% 0.02%
131 7 0.44% 0.02%
132 6 0.08% 0.02%
132 6 0.31% 0.02%
132 6 0.14% 0.02%
132 6 0.22% 0.02%
132 6 0.32% 0.02%
132 6 0.12% 0.02%
132 6 0.45% 0.02%
132 6 0.47% 0.02%
132 6 0.27% 0.02%
132 6 0.21% 0.02%
132 6 0.28% 0.02%
132 6 0.16% 0.02%
132 6 0.79% 0.02%
132 6 0.31% 0.02%
132 6 0.35% 0.02%
132 6 0.07% 0.02%
132 6 0.36% 0.02%
132 6 0.31% 0.02%
132 6 0.03% 0.02%
132 6 0.23% 0.02%
132 6 0.40% 0.02%
132 6 0.23% 0.02%
132 6 0.03% 0.02%
132 6 0.21% 0.02%
132 6 0.24% 0.02%
132 6 0.60% 0.02%
132 6 0.25% 0.02%
132 6 0.22% 0.02%
132 6 0.22% 0.02%
132 6 0.40% 0.02%
132 6 0.12% 0.02%
132 6 0.20% 0.02%
132 6 0.23% 0.02%
132 6 0.81% 0.02%
133 5 0.19% 0.02%
133 5 0.08% 0.02%
133 5 0.25% 0.02%
133 5 0.11% 0.02%
133 5 0.25% 0.02%
133 5 0.27% 0.02%
133 5 0.23% 0.02%
133 5 0.12% 0.02%
133 5 0.16% 0.02%
133 5 0.28% 0.02%
133 5 0.14% 0.02%
133 5 0.21% 0.02%
133 5 0.24% 0.02%
133 5 0.04% 0.02%
133 5 0.17% 0.02%
133 5 0.50% 0.02%
133 5 0.25% 0.02%
133 5 0.41% 0.02%
133 5 0.09% 0.02%
133 5 0.55% 0.02%
133 5 0.27% 0.02%
133 5 0.41% 0.02%
133 5 0.28% 0.02%
133 5 0.34% 0.02%
133 5 0.04% 0.02%
133 5 0.20% 0.02%
133 5 0.19% 0.02%
133 5 0.30% 0.02%
133 5 0.23% 0.02%
133 5 0.18% 0.02%
133 5 0.01% 0.02%
133 5 0.38% 0.02%
133 5 0.12% 0.02%
133 5 0.34% 0.02%
133 5 0.36% 0.02%
133 5 0.09% 0.02%
134 4 0.68% 0.01%
134 4 0.16% 0.01%
134 4 0.44% 0.01%
134 4 0.24% 0.01%
134 4 0.19% 0.01%
134 4 0.20% 0.01%
134 4 0.41% 0.01%
134 4 0.30% 0.01%
134 4 0.34% 0.01%
134 4 0.40% 0.01%
134 4 0.34% 0.01%
134 4 0.33% 0.01%
134 4 0.24% 0.01%
134 4 0.23% 0.01%
134 4 0.31% 0.01%
134 4 0.02% 0.01%
134 4 0.17% 0.01%
134 4 0.20% 0.01%
134 4 0.30% 0.01%
134 4 0.22% 0.01%
134 4 0.38% 0.01%
134 4 0.48% 0.01%
134 4 0.59% 0.01%
134 4 0.12% 0.01%
134 4 0.25% 0.01%
134 4 0.32% 0.01%
134 4 0.12% 0.01%
134 4 0.20% 0.01%
134 4 0.06% 0.01%
134 4 0.28% 0.01%
134 4 0.21% 0.01%
134 4 0.45% 0.01%
134 4 0.37% 0.01%
134 4 0.19% 0.01%
134 4 0.14% 0.01%
134 4 0.25% 0.01%
134 4 0.16% 0.01%
135 3 0.17% 0.01%
135 3 0.03% 0.01%
135 3 0.34% 0.01%
135 3 0.06% 0.01%
135 3 0.13% 0.01%
135 3 0.21% 0.01%
135 3 0.20% 0.01%
135 3 0.10% 0.01%
135 3 0.02% 0.01%
135 3 0.20% 0.01%
135 3 0.22% 0.01%
135 3 0.14% 0.01%
135 3 0.15% 0.01%
135 3 0.11% 0.01%
135 3 0.27% 0.01%
135 3 0.19% 0.01%
135 3 0.26% 0.01%
135 3 0.48% 0.01%
135 3 0.22% 0.01%
135 3 0.16% 0.01%
135 3 0.34% 0.01%
135 3 0.17% 0.01%
135 3 0.25% 0.01%
135 3 0.16% 0.01%
135 3 0.02% 0.01%
135 3 0.28% 0.01%
135 3 0.29% 0.01%
135 3 0.12% 0.01%
135 3 0.41% 0.01%
135 3 0.20% 0.01%
135 3 0.33% 0.01%
135 3 0.19% 0.01%
135 3 0.27% 0.01%
135 3 0.24% 0.01%
135 3 0.28% 0.01%
135 3 0.18% 0.01%
135 3 0.22% 0.01%
135 3 0.14% 0.01%
135 3 0.16% 0.01%
135 3 0.36% 0.01%
136 2 0.21% 0.01%
136 2 0.26% 0.01%
136 2 0.37% 0.01%
136 2 0.38% 0.01%
136 2 0.08% 0.01%
136 2 0.20% 0.01%
136 2 0.22% 0.01%
136 2 0.28% 0.01%
136 2 0.11% 0.01%
136 2 0.29% 0.01%
136 2 0.17% 0.01%
136 2 0.24% 0.01%
136 2 0.16% 0.01%
136 2 0.17% 0.01%
136 2 0.42% 0.01%
136 2 0.21% 0.01%
136 2 0.10% 0.01%
136 2 0.04% 0.01%
136 2 0.29% 0.01%
136 2 0.05% 0.01%
136 2 0.19% 0.01%
136 2 0.09% 0.01%
136 2 0.19% 0.01%
136 2 0.06% 0.01%
136 2 0.02% 0.01%
136 2 0.11% 0.01%
136 2 0.24% 0.01%
136 2 0.07% 0.01%
136 2 0.29% 0.01%
136 2 0.05% 0.01%
136 2 0.18% 0.01%
136 2 0.29% 0.01%
136 2 0.20% 0.01%
136 2 0.29% 0.01%
136 2 0.27% 0.01%
137 1 0.14% 0.00%
137 1 0.09% 0.00%
137 1 0.02% 0.00%
137 1 0.13% 0.00%
137 1 0.07% 0.00%
137 1 0.14% 0.00%
137 1 0.04% 0.00%
137 1 0.06% 0.00%
137 1 0.15% 0.00%
137 1 0.09% 0.00%
137 1 0.03% 0.00%
137 1 0.04% 0.00%
137 1 0.17% 0.00%
137 1 0.11% 0.00%
137 1 0.20% 0.00%
137 1 0.02% 0.00%
137 1 0.09% 0.00%
137 1 0.02% 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 Danish population, using the most recent ACS data available.

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

How We Ranked the Data

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

Sources

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