Filipino Population in Michigan by City : 2025 Ranking & Insights

The Filipino population in Michigan is reported as 45,791, with the largest concentrations in cities like Sterling Heights (2,323), Warren (1,738), and Troy (1,322). 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 Filipino communities take shape across Michigan and how these patterns compare with other states across the nation.

Top 5 cities with the largest Filipino population in Michigan

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  • 1
    Sterling Heights
    Filipino population in Sterling Heights is 2,323
    1.74% of Sterling Heights population is Filipino
  • 2
    Warren
    Filipino population in Warren is 1,738
    1.26% of Warren population is Filipino
  • 3
    Troy
    Filipino population in Troy is 1,322
    1.51% of Troy population is Filipino
  • 4
    Detroit
    Filipino population in Detroit is 1,171
    0.18% of Detroit population is Filipino
  • 5
    Livonia
    Filipino population in Livonia is 1,147
    1.22% of Livonia population is Filipino

Overview of Filipino population in Michigan

  • Population Count and Percentage: American Community Survey data indicate Michigan contains 45,791 Filipino residents (0.46% of 10.1 million total state population), positioning the state at the 66th percentile nationally among U.S. states for Filipino population concentrations.
  • Comparison to State and National Averages: U.S. Census surveys show Michigan's Filipino demographic representation of 0.46% remains below the national average of 1.3%, positioning the state below typical U.S. demographic distribution patterns.
  • Share of Total National Population: Official American Community Survey document Michigan's 45,791 Filipino residents constitute 1% of the nation's total Filipino population of 4.4 million, providing the state with a measurable but modest share of the national demographic community.
  • Population Density per Square Mile: U.S. Census Bureau's American Community Survey document Michigan contains 0.81 Filipino per square mile, below the national average of 1.3 per square mile, while maintaining moderate community presence relative to national concentration standards.
  • Need additional overviews? Extended research data available for purchase and license. ➔

1,552 Cities in Michigan Ranked by Filipino Population

View Methodology
American Community Survey data [1] show Filipino population in Michigan present in Sterling Heights, Warren, and Troy, 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 Michigan ranked by Filipino population count
Rank by Filipino Population
City
Filipino Population
% of Total City Population
% of Total Michigan Filipino Population
5 Year Rank Trend
1 Sterling Heights 2,323 1.74% 5.07%
2 Warren 1,738 1.26% 3.80%
3 Troy 1,322 1.51% 2.89%
4 Detroit 1,171 0.18% 2.56%
5 Livonia 1,147 1.22% 2.50%
6 Westland 1,066 1.27% 2.33%
7 Grand Rapids 855 0.43% 1.87%
8 836 0.69% 1.83%
9 821 0.84% 1.79%
10 755 0.82% 1.65%
11 745 0.89% 1.63%
12 710 0.63% 1.55%
13 709 0.89% 1.55%
14 694 2.47% 1.52%
15 682 1.03% 1.49%
16 677 1.17% 1.48%
17 615 1.87% 1.34%
17 615 0.62% 1.34%
18 572 0.75% 1.25%
19 565 1.99% 1.23%
20 550 0.84% 1.20%
21 549 0.89% 1.20%
22 525 0.68% 1.15%
23 473 0.86% 1.03%
24 468 1.97% 1.02%
25 435 0.57% 0.95%
26 413 1.04% 0.90%
27 393 0.63% 0.86%
28 366 0.34% 0.80%
29 364 0.52% 0.79%
30 361 0.92% 0.79%
31 330 0.75% 0.72%
32 283 0.39% 0.62%
33 278 0.63% 0.61%
33 278 0.48% 0.61%
34 271 0.98% 0.59%
35 266 0.59% 0.58%
35 266 2.70% 0.58%
36 259 2.83% 0.57%
37 255 0.52% 0.56%
38 252 1.00% 0.55%
39 249 0.90% 0.54%
40 248 0.86% 0.54%
41 244 0.52% 0.53%
42 243 0.46% 0.53%
43 230 1.03% 0.50%
44 229 0.28% 0.50%
45 223 0.74% 0.49%
46 222 1.10% 0.48%
47 210 0.72% 0.46%
48 207 0.56% 0.45%
49 202 0.51% 0.44%
50 199 0.37% 0.43%
51 198 0.58% 0.43%
52 192 0.85% 0.42%
53 190 3.71% 0.41%
53 190 1.91% 0.41%
54 187 0.44% 0.41%
55 175 0.48% 0.38%
56 170 0.39% 0.37%
57 167 0.37% 0.36%
58 162 0.39% 0.35%
59 158 1.76% 0.35%
60 157 2.54% 0.34%
61 151 1.97% 0.33%
61 151 1.23% 0.33%
62 149 1.00% 0.33%
63 146 2.76% 0.32%
64 145 0.67% 0.32%
65 142 0.59% 0.31%
66 137 0.99% 0.30%
66 137 0.36% 0.30%
67 136 0.51% 0.30%
67 136 1.70% 0.30%
67 136 0.77% 0.30%
68 132 1.17% 0.29%
68 132 0.54% 0.29%
69 131 0.41% 0.29%
69 131 0.86% 0.29%
69 131 0.46% 0.29%
70 130 1.36% 0.28%
71 127 0.82% 0.28%
72 124 0.50% 0.27%
73 120 0.63% 0.26%
74 118 1.36% 0.26%
75 113 0.99% 0.25%
76 112 3.37% 0.24%
77 111 1.65% 0.24%
77 111 0.65% 0.24%
78 110 1.30% 0.24%
79 109 0.22% 0.24%
80 106 0.70% 0.23%
81 103 0.17% 0.22%
81 103 0.77% 0.22%
82 102 1.68% 0.22%
83 100 0.34% 0.22%
84 99 0.25% 0.22%
85 98 0.68% 0.21%
85 98 3.55% 0.21%
85 98 0.30% 0.21%
85 98 0.46% 0.21%
86 96 0.31% 0.21%
86 96 1.04% 0.21%
87 95 0.83% 0.21%
88 94 1.03% 0.21%
89 92 1.93% 0.20%
89 92 0.83% 0.20%
90 89 2.34% 0.19%
91 87 2.26% 0.19%
92 86 0.16% 0.19%
93 82 2.00% 0.18%
93 82 1.66% 0.18%
94 81 0.43% 0.18%
94 81 0.81% 0.18%
94 81 0.63% 0.18%
95 79 0.32% 0.17%
96 78 1.15% 0.17%
97 76 0.51% 0.17%
98 75 0.84% 0.16%
98 75 1.05% 0.16%
99 74 1.25% 0.16%
99 74 1.53% 0.16%
100 73 2.31% 0.16%
101 71 1.12% 0.16%
101 71 1.03% 0.16%
101 71 1.15% 0.16%
102 67 0.44% 0.15%
102 67 3.64% 0.15%
102 67 1.17% 0.15%
103 66 0.33% 0.14%
104 65 0.53% 0.14%
104 65 0.61% 0.14%
105 64 1.42% 0.14%
106 63 0.22% 0.14%
107 61 1.86% 0.13%
107 61 0.57% 0.13%
108 60 0.57% 0.13%
108 60 0.74% 0.13%
108 60 0.97% 0.13%
108 60 0.41% 0.13%
109 59 2.57% 0.13%
110 57 0.82% 0.12%
111 56 0.85% 0.12%
111 56 0.22% 0.12%
111 56 0.58% 0.12%
111 56 0.47% 0.12%
111 56 0.47% 0.12%
112 55 1.15% 0.12%
112 55 0.27% 0.12%
113 54 2.64% 0.12%
113 54 0.96% 0.12%
114 53 0.20% 0.12%
114 53 0.27% 0.12%
115 52 0.50% 0.11%
115 52 0.20% 0.11%
116 51 0.16% 0.11%
117 50 0.46% 0.11%
117 50 2.43% 0.11%
117 50 7.73% 0.11%
117 50 0.29% 0.11%
117 50 1.20% 0.11%
118 49 0.30% 0.11%
118 49 0.33% 0.11%
118 49 1.97% 0.11%
119 48 1.38% 0.10%
119 48 0.32% 0.10%
119 48 0.25% 0.10%
120 47 1.19% 0.10%
120 47 0.29% 0.10%
120 47 0.41% 0.10%
121 46 1.77% 0.10%
121 46 0.32% 0.10%
121 46 0.65% 0.10%
122 45 1.68% 0.10%
122 45 1.61% 0.10%
122 45 0.74% 0.10%
122 45 0.29% 0.10%
123 44 1.13% 0.10%
124 43 0.55% 0.09%
124 43 0.23% 0.09%
124 43 0.52% 0.09%
124 43 1.17% 0.09%
125 42 0.50% 0.09%
125 42 0.68% 0.09%
125 42 0.49% 0.09%
125 42 0.53% 0.09%
126 41 0.20% 0.09%
126 41 0.18% 0.09%
126 41 0.21% 0.09%
127 40 1.44% 0.09%
127 40 0.29% 0.09%
128 39 0.20% 0.09%
128 39 3.59% 0.09%
128 39 1.15% 0.09%
128 39 0.16% 0.09%
128 39 0.30% 0.09%
128 39 0.22% 0.09%
129 38 0.70% 0.08%
129 38 0.85% 0.08%
130 37 0.67% 0.08%
131 36 0.46% 0.08%
131 36 0.27% 0.08%
131 36 0.80% 0.08%
131 36 1.34% 0.08%
132 35 0.56% 0.08%
132 35 0.10% 0.08%
132 35 3.91% 0.08%
132 35 0.43% 0.08%
133 34 0.38% 0.07%
133 34 0.16% 0.07%
133 34 2.35% 0.07%
133 34 0.22% 0.07%
134 33 0.24% 0.07%
134 33 0.55% 0.07%
134 33 0.57% 0.07%
134 33 1.11% 0.07%
134 33 0.54% 0.07%
134 33 0.65% 0.07%
134 33 0.23% 0.07%
134 33 1.08% 0.07%
134 33 0.42% 0.07%
135 32 1.57% 0.07%
135 32 1.66% 0.07%
135 32 0.22% 0.07%
135 32 1.33% 0.07%
135 32 2.59% 0.07%
135 32 0.82% 0.07%
136 31 1.12% 0.07%
136 31 0.54% 0.07%
136 31 0.21% 0.07%
136 31 0.31% 0.07%
136 31 0.18% 0.07%
136 31 0.10% 0.07%
137 30 0.69% 0.07%
137 30 0.33% 0.07%
137 30 2.58% 0.07%
137 30 1.16% 0.07%
138 29 0.64% 0.06%
138 29 0.45% 0.06%
138 29 0.69% 0.06%
138 29 0.37% 0.06%
138 29 0.33% 0.06%
139 28 1.01% 0.06%
139 28 0.84% 0.06%
139 28 1.07% 0.06%
139 28 0.54% 0.06%
140 27 0.27% 0.06%
140 27 0.34% 0.06%
140 27 0.23% 0.06%
140 27 0.43% 0.06%
140 27 0.30% 0.06%
140 27 0.46% 0.06%
140 27 0.43% 0.06%
140 27 0.08% 0.06%
140 27 2.84% 0.06%
140 27 0.15% 0.06%
141 26 1.50% 0.06%
141 26 2.09% 0.06%
141 26 0.63% 0.06%
141 26 0.40% 0.06%
142 25 2.68% 0.05%
142 25 0.89% 0.05%
142 25 1.50% 0.05%
142 25 0.36% 0.05%
142 25 0.35% 0.05%
142 25 0.51% 0.05%
143 24 0.12% 0.05%
144 23 0.73% 0.05%
144 23 0.69% 0.05%
144 23 0.25% 0.05%
145 22 0.31% 0.05%
145 22 2.20% 0.05%
145 22 1.85% 0.05%
145 22 1.90% 0.05%
145 22 0.10% 0.05%
145 22 0.68% 0.05%
145 22 0.35% 0.05%
145 22 0.35% 0.05%
145 22 0.94% 0.05%
145 22 3.89% 0.05%
146 21 0.21% 0.05%
146 21 0.88% 0.05%
146 21 0.08% 0.05%
146 21 0.97% 0.05%
146 21 1.64% 0.05%
146 21 1.23% 0.05%
147 20 0.83% 0.04%
147 20 0.28% 0.04%
147 20 1.12% 0.04%
147 20 0.13% 0.04%
147 20 0.39% 0.04%
147 20 0.17% 0.04%
147 20 0.77% 0.04%
147 20 1.33% 0.04%
147 20 0.08% 0.04%
147 20 2.26% 0.04%
147 20 0.50% 0.04%
147 20 0.63% 0.04%
148 19 1.04% 0.04%
148 19 0.18% 0.04%
148 19 1.55% 0.04%
148 19 0.25% 0.04%
148 19 2.87% 0.04%
148 19 0.70% 0.04%
148 19 0.13% 0.04%
148 19 0.55% 0.04%
148 19 1.11% 0.04%
148 19 0.10% 0.04%
149 18 0.42% 0.04%
149 18 0.58% 0.04%
149 18 0.06% 0.04%
149 18 0.28% 0.04%
149 18 0.56% 0.04%
149 18 0.50% 0.04%
150 17 2.45% 0.04%
150 17 0.91% 0.04%
151 16 0.11% 0.03%
151 16 0.39% 0.03%
151 16 1.35% 0.03%
151 16 0.15% 0.03%
151 16 0.31% 0.03%
151 16 0.21% 0.03%
151 16 0.43% 0.03%
151 16 0.53% 0.03%
151 16 0.15% 0.03%
151 16 1.58% 0.03%
151 16 0.67% 0.03%
151 16 0.41% 0.03%
151 16 1.78% 0.03%
151 16 0.14% 0.03%
152 15 1.03% 0.03%
152 15 0.08% 0.03%
152 15 0.71% 0.03%
152 15 0.10% 0.03%
152 15 0.07% 0.03%
152 15 0.24% 0.03%
152 15 0.42% 0.03%
152 15 0.34% 0.03%
152 15 0.55% 0.03%
153 14 0.36% 0.03%
153 14 0.32% 0.03%
153 14 0.05% 0.03%
153 14 0.50% 0.03%
153 14 0.37% 0.03%
153 14 0.17% 0.03%
153 14 0.15% 0.03%
153 14 1.65% 0.03%
153 14 0.37% 0.03%
153 14 0.52% 0.03%
153 14 0.18% 0.03%
154 13 0.05% 0.03%
154 13 0.80% 0.03%
154 13 1.23% 0.03%
154 13 1.05% 0.03%
154 13 0.29% 0.03%
154 13 0.67% 0.03%
154 13 1.41% 0.03%
154 13 0.21% 0.03%
154 13 0.76% 0.03%
154 13 0.46% 0.03%
154 13 0.35% 0.03%
154 13 0.19% 0.03%
154 13 0.80% 0.03%
154 13 0.65% 0.03%
155 12 0.84% 0.03%
155 12 0.64% 0.03%
155 12 1.02% 0.03%
155 12 0.19% 0.03%
155 12 0.53% 0.03%
155 12 0.47% 0.03%
155 12 0.66% 0.03%
155 12 0.29% 0.03%
155 12 0.08% 0.03%
155 12 0.48% 0.03%
155 12 0.94% 0.03%
155 12 0.27% 0.03%
156 11 0.11% 0.02%
156 11 0.20% 0.02%
156 11 0.63% 0.02%
156 11 0.28% 0.02%
156 11 0.10% 0.02%
156 11 0.84% 0.02%
156 11 0.34% 0.02%
156 11 0.08% 0.02%
156 11 1.08% 0.02%
156 11 0.09% 0.02%
156 11 0.54% 0.02%
156 11 1.31% 0.02%
156 11 0.42% 0.02%
156 11 0.21% 0.02%
157 10 0.06% 0.02%
157 10 0.11% 0.02%
157 10 0.36% 0.02%
157 10 0.50% 0.02%
157 10 0.20% 0.02%
157 10 0.57% 0.02%
157 10 0.08% 0.02%
157 10 0.08% 0.02%
157 10 0.60% 0.02%
157 10 2.29% 0.02%
158 9 0.31% 0.02%
158 9 0.23% 0.02%
158 9 0.41% 0.02%
158 9 0.25% 0.02%
158 9 0.14% 0.02%
158 9 0.29% 0.02%
158 9 0.28% 0.02%
158 9 1.28% 0.02%
158 9 0.71% 0.02%
158 9 0.44% 0.02%
158 9 0.86% 0.02%
158 9 0.68% 0.02%
158 9 0.21% 0.02%
158 9 0.10% 0.02%
158 9 1.37% 0.02%
159 8 0.28% 0.02%
159 8 0.62% 0.02%
159 8 0.86% 0.02%
159 8 0.43% 0.02%
159 8 0.41% 0.02%
159 8 0.13% 0.02%
159 8 0.51% 0.02%
159 8 0.44% 0.02%
159 8 0.10% 0.02%
159 8 0.37% 0.02%
159 8 0.72% 0.02%
159 8 0.36% 0.02%
159 8 0.75% 0.02%
159 8 0.20% 0.02%
159 8 0.30% 0.02%
159 8 0.74% 0.02%
159 8 0.31% 0.02%
159 8 0.86% 0.02%
159 8 0.72% 0.02%
159 8 0.44% 0.02%
159 8 0.27% 0.02%
159 8 0.37% 0.02%
160 7 0.37% 0.02%
160 7 0.18% 0.02%
160 7 0.05% 0.02%
160 7 0.32% 0.02%
160 7 0.38% 0.02%
160 7 0.32% 0.02%
160 7 0.17% 0.02%
160 7 0.20% 0.02%
160 7 0.41% 0.02%
160 7 0.40% 0.02%
160 7 0.35% 0.02%
160 7 0.26% 0.02%
160 7 0.30% 0.02%
160 7 0.14% 0.02%
160 7 0.58% 0.02%
160 7 0.75% 0.02%
160 7 0.62% 0.02%
160 7 0.28% 0.02%
160 7 0.10% 0.02%
160 7 0.08% 0.02%
160 7 0.37% 0.02%
160 7 0.39% 0.02%
160 7 0.71% 0.02%
160 7 0.33% 0.02%
161 6 0.99% 0.01%
161 6 0.08% 0.01%
161 6 0.23% 0.01%
161 6 0.76% 0.01%
161 6 0.26% 0.01%
161 6 0.72% 0.01%
161 6 0.33% 0.01%
161 6 1.01% 0.01%
161 6 0.18% 0.01%
161 6 1.09% 0.01%
161 6 0.15% 0.01%
161 6 0.40% 0.01%
161 6 1.03% 0.01%
161 6 0.06% 0.01%
161 6 0.23% 0.01%
161 6 0.28% 0.01%
161 6 0.62% 0.01%
161 6 0.36% 0.01%
161 6 0.58% 0.01%
161 6 0.08% 0.01%
161 6 0.03% 0.01%
161 6 0.62% 0.01%
161 6 0.37% 0.01%
161 6 0.32% 0.01%
161 6 0.19% 0.01%
161 6 0.43% 0.01%
161 6 0.12% 0.01%
161 6 0.26% 0.01%
162 5 0.34% 0.01%
162 5 0.10% 0.01%
162 5 0.44% 0.01%
162 5 0.20% 0.01%
162 5 0.27% 0.01%
162 5 0.21% 0.01%
162 5 0.85% 0.01%
162 5 0.18% 0.01%
162 5 0.21% 0.01%
162 5 0.11% 0.01%
162 5 0.31% 0.01%
162 5 0.84% 0.01%
162 5 0.37% 0.01%
162 5 0.47% 0.01%
162 5 0.19% 0.01%
162 5 0.18% 0.01%
162 5 0.53% 0.01%
162 5 0.19% 0.01%
162 5 0.44% 0.01%
162 5 0.23% 0.01%
162 5 0.01% 0.01%
162 5 0.34% 0.01%
162 5 0.26% 0.01%
162 5 0.15% 0.01%
162 5 0.28% 0.01%
163 4 0.14% 0.01%
163 4 0.07% 0.01%
163 4 0.39% 0.01%
163 4 0.21% 0.01%
163 4 0.12% 0.01%
163 4 0.24% 0.01%
163 4 0.21% 0.01%
163 4 0.72% 0.01%
163 4 0.13% 0.01%
163 4 0.36% 0.01%
163 4 0.32% 0.01%
163 4 0.30% 0.01%
163 4 0.07% 0.01%
163 4 0.39% 0.01%
163 4 0.05% 0.01%
163 4 0.18% 0.01%
163 4 0.47% 0.01%
163 4 0.20% 0.01%
163 4 0.24% 0.01%
163 4 0.24% 0.01%
163 4 0.16% 0.01%
163 4 0.24% 0.01%
163 4 0.10% 0.01%
163 4 0.28% 0.01%
163 4 0.31% 0.01%
163 4 0.16% 0.01%
163 4 0.07% 0.01%
163 4 0.37% 0.01%
163 4 0.10% 0.01%
163 4 0.20% 0.01%
163 4 0.21% 0.01%
163 4 0.21% 0.01%
163 4 0.44% 0.01%
163 4 0.42% 0.01%
163 4 0.49% 0.01%
163 4 0.21% 0.01%
163 4 1.02% 0.01%
163 4 0.31% 0.01%
163 4 0.31% 0.01%
163 4 0.15% 0.01%
164 3 0.13% 0.01%
164 3 0.12% 0.01%
164 3 0.25% 0.01%
164 3 0.57% 0.01%
164 3 0.11% 0.01%
164 3 0.18% 0.01%
164 3 0.10% 0.01%
164 3 0.21% 0.01%
164 3 0.27% 0.01%
164 3 0.17% 0.01%
164 3 0.30% 0.01%
164 3 0.35% 0.01%
164 3 0.08% 0.01%
164 3 0.20% 0.01%
164 3 0.50% 0.01%
164 3 0.13% 0.01%
164 3 0.12% 0.01%
164 3 0.18% 0.01%
164 3 0.20% 0.01%
164 3 0.23% 0.01%
164 3 0.18% 0.01%
164 3 0.10% 0.01%
164 3 0.24% 0.01%
164 3 0.51% 0.01%
164 3 0.13% 0.01%
164 3 0.13% 0.01%
164 3 0.10% 0.01%
164 3 0.20% 0.01%
164 3 0.13% 0.01%
164 3 0.29% 0.01%
165 2 0.20% 0.00%
165 2 0.27% 0.00%
165 2 0.12% 0.00%
165 2 0.24% 0.00%
165 2 0.20% 0.00%
165 2 0.09% 0.00%
165 2 0.19% 0.00%
165 2 0.26% 0.00%
165 2 0.12% 0.00%
165 2 0.16% 0.00%
165 2 0.04% 0.00%
165 2 0.26% 0.00%
165 2 0.23% 0.00%
165 2 0.20% 0.00%
165 2 0.07% 0.00%
165 2 0.13% 0.00%
165 2 0.05% 0.00%
165 2 0.25% 0.00%
165 2 0.11% 0.00%
165 2 0.27% 0.00%
165 2 0.21% 0.00%
165 2 0.30% 0.00%
165 2 0.07% 0.00%
165 2 0.15% 0.00%
165 2 0.12% 0.00%
165 2 0.15% 0.00%
165 2 0.32% 0.00%
166 1 0.04% 0.00%
166 1 0.10% 0.00%
166 1 0.04% 0.00%
166 1 0.03% 0.00%
166 1 0.01% 0.00%
166 1 0.15% 0.00%
166 1 0.01% 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 Michigan by their Filipino population, using the most recent ACS data available.

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

How We Ranked the Data

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

Sources

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