Indian Population in Michigan by City : 2025 Ranking & Insights

The Indian population in Michigan is reported as 129,920, with the largest concentrations in cities like Troy (12,690), Canton charter township (11,799), and Novi (9,289). 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 Indian communities take shape across Michigan and how these patterns compare with other states across the nation.

Top 5 cities with the largest Indian population in Michigan

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  • 1
    Troy
    Indian population in Troy is 12,690
    14.53% of Troy population is Indian
  • 2
    Canton charter township
    Indian population in Canton charter township is 11,799
    12.01% of Canton charter township population is Indian
  • 3
    Novi
    Indian population in Novi is 9,289
    14.03% of Novi population is Indian
  • 4
    Farmington Hills
    Indian population in Farmington Hills is 9,022
    10.83% of Farmington Hills population is Indian
  • 5
    Warren
    Indian population in Warren is 5,799
    4.20% of Warren population is Indian

Overview of Indian population in Michigan

  • Population Count and Percentage: American Community Survey documents Michigan with 129,920 Indian residents (1.3% of 10.1 million total state population), ranking the state at the 75th percentile nationally among U.S. jurisdictions for Indian demographic representation.
  • Comparison to State and National Averages: U.S. Census surveys show Michigan's Indian demographic representation of 1.3% remains below the national average of 1.5%, positioning the state below typical U.S. demographic distribution patterns.
  • Share of Total National Population: Official American Community Survey records show Michigan hosts 129,920 Indian residents, representing 2.7% of the nation's total Indian population of 4.9 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 Michigan maintains 2.3 Indian Americans per square mile compared to the national average of 1.4, indicating higher demographic concentration relative to national averages.
  • Need additional overviews? Extended research data available for purchase and license. ➔

1,552 Cities in Michigan Ranked by Indian Population

View Methodology
American Community Survey data [1] show Indian population in Michigan present in Troy, Canton charter township, and Novi, 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 Indian population count
Rank by Indian Population
City
Indian Population
% of Total City Population
% of Total Michigan Indian Population
5 Year Rank Trend
1 Troy 12,690 14.53% 9.77%
2 Canton charter township 11,799 12.01% 9.08%
3 Novi 9,289 14.03% 7.15%
4 Farmington Hills 9,022 10.83% 6.94%
5 Warren 5,799 4.20% 4.46%
6 Sterling Heights 5,102 3.82% 3.93%
7 Ann Arbor 5,016 4.14% 3.86%
8 4,419 5.81% 3.40%
9 4,017 0.63% 3.09%
10 3,786 12.06% 2.91%
11 2,498 5.70% 1.92%
12 2,483 9.97% 1.91%
13 2,268 5.16% 1.75%
14 2,219 5.67% 1.71%
15 1,876 16.35% 1.44%
16 1,499 1.78% 1.15%
17 1,470 2.24% 1.13%
18 1,467 1.84% 1.13%
19 1,444 0.73% 1.11%
20 1,362 5.69% 1.05%
21 1,339 4.81% 1.03%
22 1,323 1.41% 1.02%
23 1,301 1.21% 1.00%
24 1,226 2.70% 0.94%
25 1,076 2.81% 0.83%
26 1,036 2.11% 0.80%
27 932 0.93% 0.72%
28 904 0.98% 0.70%
29 814 1.89% 0.63%
30 802 2.44% 0.62%
31 771 5.17% 0.59%
32 753 2.28% 0.58%
32 753 1.89% 0.58%
33 737 0.97% 0.57%
34 706 1.71% 0.54%
35 702 1.30% 0.54%
36 689 1.19% 0.53%
37 656 0.58% 0.50%
38 634 2.93% 0.49%
38 634 2.30% 0.49%
39 603 2.04% 0.46%
40 567 3.16% 0.44%
41 557 1.31% 0.43%
42 552 2.75% 0.42%
43 508 2.68% 0.39%
44 492 2.87% 0.38%
45 430 1.81% 0.33%
46 400 2.28% 0.31%
47 396 3.06% 0.30%
48 364 1.21% 0.28%
49 331 1.29% 0.25%
50 326 0.59% 0.25%
51 325 0.44% 0.25%
51 325 0.69% 0.25%
52 322 1.16% 0.25%
53 302 1.58% 0.23%
54 301 0.82% 0.23%
55 299 0.48% 0.23%
56 298 2.62% 0.23%
57 286 3.43% 0.22%
58 285 4.09% 0.22%
59 284 1.92% 0.22%
60 278 5.21% 0.21%
61 276 0.95% 0.21%
62 273 1.42% 0.21%
63 270 0.35% 0.21%
64 265 5.53% 0.20%
65 260 3.08% 0.20%
66 255 1.28% 0.20%
67 251 0.46% 0.19%
68 237 1.11% 0.18%
69 234 1.96% 0.18%
70 231 0.81% 0.18%
71 219 1.47% 0.17%
72 210 2.12% 0.16%
73 209 4.74% 0.16%
74 200 3.94% 0.15%
75 199 0.38% 0.15%
76 188 0.32% 0.14%
77 179 0.29% 0.14%
78 170 1.05% 0.13%
79 163 0.36% 0.13%
80 162 1.54% 0.12%
81 158 0.25% 0.12%
82 157 1.09% 0.12%
83 154 0.68% 0.12%
84 149 6.48% 0.11%
85 146 2.40% 0.11%
86 142 2.74% 0.11%
87 141 0.56% 0.11%
88 134 3.94% 0.10%
89 129 0.90% 0.10%
90 127 0.95% 0.10%
90 127 0.57% 0.10%
90 127 0.68% 0.10%
91 124 0.33% 0.10%
92 120 0.53% 0.09%
93 117 0.59% 0.09%
94 116 0.91% 0.09%
95 111 0.38% 0.09%
95 111 3.52% 0.09%
96 110 0.40% 0.08%
96 110 0.72% 0.08%
97 109 2.74% 0.08%
97 109 0.75% 0.08%
98 102 3.91% 0.08%
98 102 0.61% 0.08%
99 101 1.29% 0.08%
100 99 1.07% 0.08%
101 95 0.38% 0.07%
102 93 1.81% 0.07%
103 92 0.88% 0.07%
104 90 2.25% 0.07%
105 89 0.97% 0.07%
105 89 0.57% 0.07%
106 86 0.12% 0.07%
107 83 2.72% 0.06%
108 82 1.69% 0.06%
109 81 0.56% 0.06%
110 79 0.25% 0.06%
111 78 2.28% 0.06%
111 78 0.29% 0.06%
111 78 0.30% 0.06%
111 78 0.27% 0.06%
112 77 1.16% 0.06%
113 76 2.94% 0.06%
114 74 1.62% 0.06%
114 74 0.36% 0.06%
114 74 0.82% 0.06%
115 71 0.18% 0.05%
115 71 1.19% 0.05%
116 70 1.19% 0.05%
117 69 0.61% 0.05%
117 69 2.14% 0.05%
118 68 1.42% 0.05%
119 67 0.20% 0.05%
120 66 2.30% 0.05%
121 62 0.29% 0.05%
122 61 0.08% 0.05%
122 61 0.81% 0.05%
123 60 0.43% 0.05%
124 59 0.77% 0.05%
124 59 6.56% 0.05%
124 59 0.40% 0.05%
125 57 0.29% 0.04%
125 57 0.84% 0.04%
126 56 0.97% 0.04%
127 55 1.87% 0.04%
128 54 2.21% 0.04%
129 52 2.37% 0.04%
129 52 1.28% 0.04%
129 52 0.30% 0.04%
130 51 0.81% 0.04%
130 51 0.70% 0.04%
131 50 0.70% 0.04%
131 50 0.20% 0.04%
132 49 0.43% 0.04%
132 49 0.42% 0.04%
133 48 1.75% 0.04%
134 47 0.39% 0.04%
134 47 0.61% 0.04%
135 46 0.61% 0.04%
135 46 0.41% 0.04%
136 45 0.53% 0.03%
136 45 0.87% 0.03%
137 44 0.56% 0.03%
138 43 2.76% 0.03%
138 43 1.67% 0.03%
139 42 0.82% 0.03%
139 42 0.23% 0.03%
139 42 0.28% 0.03%
139 42 0.87% 0.03%
140 41 1.73% 0.03%
140 41 0.89% 0.03%
140 41 2.24% 0.03%
140 41 0.14% 0.03%
141 40 0.63% 0.03%
142 39 0.62% 0.03%
142 39 0.10% 0.03%
142 39 0.42% 0.03%
142 39 1.02% 0.03%
143 38 1.46% 0.03%
144 37 0.31% 0.03%
145 34 0.36% 0.03%
145 34 0.18% 0.03%
145 34 0.07% 0.03%
146 33 0.41% 0.03%
147 32 0.16% 0.02%
147 32 0.93% 0.02%
147 32 0.27% 0.02%
148 31 0.56% 0.02%
148 31 0.16% 0.02%
149 30 0.54% 0.02%
149 30 0.36% 0.02%
149 30 0.30% 0.02%
149 30 1.08% 0.02%
149 30 0.60% 0.02%
150 29 0.65% 0.02%
150 29 0.19% 0.02%
150 29 0.77% 0.02%
150 29 0.32% 0.02%
151 28 0.24% 0.02%
151 28 0.08% 0.02%
151 28 0.84% 0.02%
152 26 0.08% 0.02%
153 25 1.42% 0.02%
153 25 0.34% 0.02%
153 25 0.66% 0.02%
153 25 0.96% 0.02%
153 25 0.35% 0.02%
154 24 0.40% 0.02%
154 24 0.69% 0.02%
155 23 0.11% 0.02%
156 22 0.16% 0.02%
156 22 0.16% 0.02%
157 21 1.28% 0.02%
157 21 0.08% 0.02%
157 21 0.53% 0.02%
158 20 1.21% 0.02%
158 20 0.39% 0.02%
158 20 0.26% 0.02%
159 19 0.12% 0.01%
159 19 1.01% 0.01%
159 19 0.25% 0.01%
159 19 2.13% 0.01%
159 19 0.85% 0.01%
160 18 0.85% 0.01%
160 18 0.27% 0.01%
160 18 0.68% 0.01%
160 18 0.12% 0.01%
161 17 0.19% 0.01%
161 17 0.98% 0.01%
161 17 0.25% 0.01%
161 17 0.35% 0.01%
161 17 0.14% 0.01%
162 16 0.90% 0.01%
162 16 0.61% 0.01%
162 16 0.43% 0.01%
162 16 0.84% 0.01%
162 16 0.45% 0.01%
162 16 1.71% 0.01%
162 16 0.25% 0.01%
162 16 0.09% 0.01%
162 16 0.48% 0.01%
162 16 0.54% 0.01%
162 16 0.74% 0.01%
162 16 0.90% 0.01%
163 15 0.16% 0.01%
163 15 0.19% 0.01%
163 15 0.82% 0.01%
163 15 0.38% 0.01%
163 15 0.17% 0.01%
163 15 2.07% 0.01%
163 15 0.03% 0.01%
163 15 0.80% 0.01%
164 14 0.65% 0.01%
165 13 0.16% 0.01%
165 13 0.44% 0.01%
165 13 0.49% 0.01%
165 13 1.87% 0.01%
165 13 0.72% 0.01%
165 13 0.37% 0.01%
165 13 0.29% 0.01%
165 13 0.52% 0.01%
165 13 0.55% 0.01%
166 12 0.04% 0.01%
166 12 0.05% 0.01%
166 12 0.27% 0.01%
166 12 0.34% 0.01%
166 12 0.08% 0.01%
166 12 0.71% 0.01%
166 12 0.07% 0.01%
166 12 0.39% 0.01%
166 12 0.10% 0.01%
166 12 0.34% 0.01%
167 11 0.14% 0.01%
167 11 0.54% 0.01%
167 11 0.18% 0.01%
167 11 0.12% 0.01%
167 11 1.07% 0.01%
167 11 0.12% 0.01%
167 11 0.04% 0.01%
167 11 0.30% 0.01%
167 11 1.14% 0.01%
167 11 0.51% 0.01%
168 10 0.55% 0.01%
168 10 0.85% 0.01%
168 10 0.06% 0.01%
168 10 0.35% 0.01%
168 10 0.40% 0.01%
168 10 0.06% 0.01%
169 9 0.90% 0.01%
169 9 0.40% 0.01%
169 9 0.07% 0.01%
169 9 0.39% 0.01%
170 8 0.41% 0.01%
170 8 0.90% 0.01%
170 8 0.55% 0.01%
170 8 0.31% 0.01%
170 8 1.11% 0.01%
170 8 0.25% 0.01%
170 8 0.20% 0.01%
170 8 0.94% 0.01%
170 8 0.21% 0.01%
170 8 0.59% 0.01%
170 8 0.75% 0.01%
170 8 0.63% 0.01%
170 8 1.23% 0.01%
170 8 0.31% 0.01%
170 8 0.10% 0.01%
170 8 0.32% 0.01%
170 8 0.20% 0.01%
170 8 0.71% 0.01%
170 8 0.07% 0.01%
170 8 0.06% 0.01%
171 7 0.02% 0.01%
171 7 0.10% 0.01%
171 7 0.21% 0.01%
171 7 0.77% 0.01%
171 7 0.07% 0.01%
171 7 0.41% 0.01%
171 7 0.44% 0.01%
171 7 0.09% 0.01%
171 7 0.32% 0.01%
171 7 0.51% 0.01%
171 7 0.18% 0.01%
171 7 0.65% 0.01%
172 6 0.03% 0.00%
172 6 0.03% 0.00%
172 6 0.10% 0.00%
172 6 0.10% 0.00%
172 6 0.85% 0.00%
172 6 0.03% 0.00%
172 6 0.27% 0.00%
173 5 0.04% 0.00%
173 5 0.82% 0.00%
173 5 0.19% 0.00%
173 5 0.11% 0.00%
173 5 0.26% 0.00%
173 5 0.19% 0.00%
173 5 0.52% 0.00%
173 5 0.16% 0.00%
173 5 0.28% 0.00%
174 4 0.51% 0.00%
174 4 0.31% 0.00%
174 4 0.03% 0.00%
174 4 0.07% 0.00%
174 4 0.45% 0.00%
174 4 0.42% 0.00%
174 4 0.32% 0.00%
175 3 0.24% 0.00%
175 3 0.05% 0.00%
175 3 0.21% 0.00%
175 3 0.18% 0.00%
175 3 0.21% 0.00%
175 3 0.18% 0.00%
175 3 0.37% 0.00%
175 3 0.13% 0.00%
176 2 0.02% 0.00%
176 2 0.11% 0.00%
176 2 0.34% 0.00%
176 2 0.16% 0.00%
176 2 0.22% 0.00%
176 2 0.15% 0.00%
176 2 0.32% 0.00%
176 2 0.30% 0.00%
176 2 0.15% 0.00%
176 2 0.12% 0.00%
176 2 0.05% 0.00%
177 1 0.06% 0.00%
177 1 0.02% 0.00%
177 1 0.01% 0.00%
177 1 0.08% 0.00%
177 1 0.11% 0.00%
177 1 0.02% 0.00%
177 1 0.01% 0.00%
177 1 0.15% 0.00%
177 1 0.05% 0.00%
177 1 0.04% 0.00%
177 1 0.09% 0.00%
177 1 0.04% 0.00%
177 1 0.08% 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 Indian population, using the most recent ACS data available.

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

How We Ranked the Data

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

Sources

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