Mongolian Population in United States by County : 2025 Ranking & Insights

According to the most recent U.S. Census data, the Mongolian population in the United States stands at 38,533. Cook County leads with 5,326 residents, followed by Los Angeles County (3,847) and Alameda County (1,668). Many other counties also report established Mongolian populations. This ranking explores how Mongolian communities are distributed across U.S. counties, highlighting both high-density hubs and emerging areas of growth.

Top 5 counties with the largest Mongolian population in United States

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  • 1
    Cook County
    Mongolian population in Cook County is 5,326
    0.10% of Cook County population is Mongolian
  • 2
    Los Angeles County
    Mongolian population in Los Angeles County is 3,847
    0.04% of Los Angeles County population is Mongolian
  • 3
    Alameda County
    Mongolian population in Alameda County is 1,668
    0.10% of Alameda County population is Mongolian
  • 4
    King County
    Mongolian population in King County is 1,517
    0.07% of King County population is Mongolian
  • 5
    Fairfax County
    Mongolian population in Fairfax County is 1,206
    0.11% of Fairfax County population is Mongolian

U.S. Counties by Mongolian Population : National Rankings

View Methodology
American Community Survey data [1] show significant Mongolian populations in leading counties, including Cook County, Los Angeles County, Alameda County, and King County, while numerous other counties recorded minimal or zero residents identified as Americans of Mongolian birth or descent. The table below provides broader statistics, including total population figures, density measures, and demographic distributions based on current ACS data for all counties included in this analysis*.
counties in United States ranked by Mongolian population count
Rank by Mongolian Population
County
Mongolian Population
% of Total County Population
% of Total United States Mongolian Population
5 Year Rank Trend
1 Cook County 5,326 0.10% 13.82%
2 Los Angeles County 3,847 0.04% 9.98%
3 Alameda County 1,668 0.10% 4.33%
4 King County 1,517 0.07% 3.94%
5 Fairfax County 1,206 0.11% 3.13%
6 San Francisco County 840 0.10% 2.18%
7 Contra Costa County 805 0.07% 2.09%
8 803 0.10% 2.08%
9 665 0.03% 1.73%
10 627 0.09% 1.63%
11 531 0.13% 1.38%
12 453 0.06% 1.18%
13 413 0.01% 1.07%
14 369 0.05% 0.96%
15 364 0.02% 0.94%
16 363 0.07% 0.94%
17 317 0.05% 0.82%
18 308 0.03% 0.80%
19 298 0.07% 0.77%
20 296 0.01% 0.77%
21 295 0.03% 0.77%
21 295 0.02% 0.77%
22 293 0.01% 0.76%
23 291 0.04% 0.76%
24 282 0.01% 0.73%
25 280 0.02% 0.73%
26 256 0.02% 0.66%
27 224 0.03% 0.58%
28 216 0.04% 0.56%
29 201 0.05% 0.52%
30 191 0.03% 0.50%
31 188 0.03% 0.49%
32 173 0.01% 0.45%
33 159 0.01% 0.41%
34 156 0.04% 0.40%
34 156 0.03% 0.40%
35 154 0.01% 0.40%
36 152 0.02% 0.39%
37 146 0.06% 0.38%
38 145 0.23% 0.38%
38 145 0.02% 0.38%
38 145 0.01% 0.38%
39 143 0.02% 0.37%
40 140 0.02% 0.36%
40 140 0.04% 0.36%
41 138 0.07% 0.36%
42 135 0.02% 0.35%
43 133 0.15% 0.35%
44 130 0.01% 0.34%
45 128 0.82% 0.33%
46 122 0.04% 0.32%
47 117 0.02% 0.30%
48 105 0.09% 0.27%
49 104 0.01% 0.27%
50 101 0.04% 0.26%
51 98 0.02% 0.25%
52 95 0.01% 0.25%
53 91 0.01% 0.24%
53 91 0.01% 0.24%
53 91 0.01% 0.24%
54 90 0.07% 0.23%
55 89 0.01% 0.23%
56 85 0.14% 0.22%
57 84 0.01% 0.22%
58 83 0.10% 0.22%
58 83 0.01% 0.22%
59 82 0.01% 0.21%
60 81 0.01% 0.21%
61 80 0.06% 0.21%
62 79 0.10% 0.21%
62 79 0.08% 0.21%
63 78 0.02% 0.20%
64 75 0.05% 0.19%
65 74 0.05% 0.19%
65 74 0.02% 0.19%
66 73 0.01% 0.19%
67 72 0.35% 0.19%
67 72 0.01% 0.19%
67 72 0.01% 0.19%
68 71 0.02% 0.18%
69 70 0.02% 0.18%
70 69 0.03% 0.18%
70 69 0.02% 0.18%
70 69 0.07% 0.18%
71 68 0.01% 0.18%
71 68 0.03% 0.18%
71 68 0.05% 0.18%
71 68 0.01% 0.18%
71 68 0.02% 0.18%
72 66 0.01% 0.17%
73 64 0.05% 0.17%
73 64 0.00% 0.17%
73 64 0.03% 0.17%
74 63 0.01% 0.16%
74 63 0.02% 0.16%
74 63 0.02% 0.16%
75 62 0.04% 0.16%
75 62 0.02% 0.16%
75 62 0.02% 0.16%
75 62 0.02% 0.16%
76 60 0.00% 0.16%
76 60 0.01% 0.16%
76 60 0.01% 0.16%
77 58 0.01% 0.15%
77 58 0.34% 0.15%
77 58 0.02% 0.15%
78 57 0.01% 0.15%
79 56 0.23% 0.15%
80 54 0.07% 0.14%
81 53 0.01% 0.14%
81 53 0.00% 0.14%
82 52 0.01% 0.13%
82 52 0.00% 0.13%
82 52 0.01% 0.13%
83 51 0.01% 0.13%
84 50 0.02% 0.13%
85 49 0.01% 0.13%
85 49 0.02% 0.13%
86 47 0.03% 0.12%
87 44 0.02% 0.11%
87 44 0.02% 0.11%
88 43 0.05% 0.11%
89 42 0.01% 0.11%
89 42 0.04% 0.11%
89 42 0.00% 0.11%
89 42 0.01% 0.11%
90 41 0.04% 0.11%
90 41 0.02% 0.11%
91 40 0.29% 0.10%
91 40 0.02% 0.10%
92 39 0.01% 0.10%
93 38 0.01% 0.10%
93 38 0.02% 0.10%
93 38 0.00% 0.10%
93 38 0.02% 0.10%
94 37 0.01% 0.10%
95 36 0.01% 0.09%
96 35 0.18% 0.09%
96 35 0.08% 0.09%
96 35 0.16% 0.09%
96 35 0.02% 0.09%
96 35 0.01% 0.09%
96 35 0.02% 0.09%
97 34 0.01% 0.09%
97 34 0.03% 0.09%
97 34 0.00% 0.09%
97 34 0.05% 0.09%
97 34 4.26% 0.09%
97 34 0.00% 0.09%
97 34 0.18% 0.09%
98 33 0.05% 0.09%
98 33 0.03% 0.09%
98 33 0.00% 0.09%
98 33 0.04% 0.09%
98 33 0.01% 0.09%
98 33 0.01% 0.09%
99 32 0.03% 0.08%
99 32 0.05% 0.08%
99 32 0.02% 0.08%
99 32 0.00% 0.08%
99 32 0.17% 0.08%
100 31 0.12% 0.08%
100 31 0.01% 0.08%
100 31 0.00% 0.08%
101 30 0.00% 0.08%
101 30 0.05% 0.08%
102 29 0.02% 0.08%
102 29 0.04% 0.08%
102 29 0.00% 0.08%
102 29 0.02% 0.08%
102 29 0.01% 0.08%
102 29 0.01% 0.08%
103 28 0.00% 0.07%
103 28 0.11% 0.07%
104 27 0.00% 0.07%
104 27 0.01% 0.07%
104 27 0.01% 0.07%
104 27 0.03% 0.07%
104 27 0.01% 0.07%
105 26 0.00% 0.07%
105 26 0.01% 0.07%
105 26 0.09% 0.07%
105 26 0.01% 0.07%
105 26 0.23% 0.07%
106 25 0.03% 0.06%
106 25 0.01% 0.06%
106 25 0.01% 0.06%
106 25 0.15% 0.06%
106 25 0.01% 0.06%
107 24 0.01% 0.06%
107 24 0.04% 0.06%
107 24 0.10% 0.06%
107 24 0.03% 0.06%
107 24 0.03% 0.06%
107 24 0.00% 0.06%
107 24 0.08% 0.06%
108 23 0.67% 0.06%
108 23 0.01% 0.06%
108 23 0.01% 0.06%
108 23 0.01% 0.06%
109 22 0.01% 0.06%
109 22 0.00% 0.06%
109 22 0.01% 0.06%
109 22 0.02% 0.06%
109 22 0.00% 0.06%
110 21 0.00% 0.05%
110 21 0.00% 0.05%
110 21 0.03% 0.05%
110 21 0.01% 0.05%
110 21 0.02% 0.05%
111 20 0.08% 0.05%
111 20 0.05% 0.05%
111 20 0.01% 0.05%
111 20 0.00% 0.05%
111 20 0.00% 0.05%
112 19 0.01% 0.05%
112 19 0.03% 0.05%
112 19 0.01% 0.05%
112 19 0.08% 0.05%
112 19 0.02% 0.05%
112 19 0.01% 0.05%
113 18 0.01% 0.05%
113 18 0.03% 0.05%
113 18 0.02% 0.05%
113 18 0.02% 0.05%
113 18 0.00% 0.05%
113 18 0.03% 0.05%
113 18 0.04% 0.05%
114 17 0.07% 0.04%
114 17 0.02% 0.04%
114 17 0.01% 0.04%
114 17 0.09% 0.04%
114 17 0.01% 0.04%
114 17 0.01% 0.04%
115 16 0.00% 0.04%
115 16 0.01% 0.04%
115 16 0.01% 0.04%
116 15 0.02% 0.04%
116 15 0.01% 0.04%
116 15 0.03% 0.04%
116 15 0.07% 0.04%
116 15 0.00% 0.04%
116 15 0.06% 0.04%
116 15 0.05% 0.04%
116 15 0.01% 0.04%
117 14 0.02% 0.04%
117 14 0.00% 0.04%
117 14 0.02% 0.04%
117 14 0.00% 0.04%
117 14 0.10% 0.04%
117 14 0.01% 0.04%
117 14 0.02% 0.04%
118 13 0.19% 0.03%
118 13 0.00% 0.03%
118 13 0.00% 0.03%
118 13 0.00% 0.03%
118 13 0.00% 0.03%
118 13 0.00% 0.03%
118 13 0.06% 0.03%
119 12 0.00% 0.03%
119 12 0.00% 0.03%
119 12 0.01% 0.03%
119 12 0.05% 0.03%
119 12 0.02% 0.03%
119 12 0.01% 0.03%
119 12 0.01% 0.03%
119 12 0.00% 0.03%
119 12 0.00% 0.03%
119 12 0.04% 0.03%
120 11 0.00% 0.03%
120 11 0.04% 0.03%
120 11 0.02% 0.03%
120 11 0.01% 0.03%
120 11 0.01% 0.03%
120 11 0.01% 0.03%
121 10 0.00% 0.03%
121 10 0.02% 0.03%
121 10 0.00% 0.03%
121 10 0.57% 0.03%
121 10 0.00% 0.03%
121 10 0.16% 0.03%
121 10 0.01% 0.03%
121 10 0.00% 0.03%
121 10 0.01% 0.03%
121 10 0.00% 0.03%
121 10 0.00% 0.03%
121 10 0.02% 0.03%
121 10 0.01% 0.03%
121 10 0.01% 0.03%
121 10 0.01% 0.03%
121 10 0.00% 0.03%
122 9 0.00% 0.02%
122 9 0.06% 0.02%
122 9 0.00% 0.02%
122 9 0.00% 0.02%
122 9 0.05% 0.02%
122 9 0.01% 0.02%
122 9 0.02% 0.02%
122 9 0.00% 0.02%
122 9 0.01% 0.02%
122 9 0.00% 0.02%
122 9 0.00% 0.02%
123 8 0.00% 0.02%
123 8 0.01% 0.02%
123 8 0.01% 0.02%
123 8 0.01% 0.02%
123 8 0.00% 0.02%
123 8 0.01% 0.02%
123 8 0.01% 0.02%
123 8 0.02% 0.02%
123 8 0.00% 0.02%
123 8 0.00% 0.02%
123 8 0.01% 0.02%
123 8 0.01% 0.02%
123 8 0.00% 0.02%
124 7 0.02% 0.02%
124 7 0.02% 0.02%
124 7 0.00% 0.02%
124 7 0.00% 0.02%
124 7 0.00% 0.02%
124 7 0.02% 0.02%
124 7 0.00% 0.02%
124 7 0.01% 0.02%
124 7 0.01% 0.02%
124 7 0.01% 0.02%
124 7 0.01% 0.02%
124 7 0.05% 0.02%
124 7 0.00% 0.02%
124 7 0.01% 0.02%
124 7 0.00% 0.02%
124 7 0.00% 0.02%
124 7 0.02% 0.02%
124 7 0.00% 0.02%
124 7 0.09% 0.02%
124 7 0.01% 0.02%
125 6 0.04% 0.02%
125 6 0.10% 0.02%
125 6 0.00% 0.02%
125 6 0.00% 0.02%
125 6 0.00% 0.02%
125 6 0.00% 0.02%
125 6 0.04% 0.02%
125 6 0.00% 0.02%
125 6 0.01% 0.02%
125 6 0.00% 0.02%
125 6 0.03% 0.02%
125 6 0.00% 0.02%
125 6 0.05% 0.02%
125 6 0.01% 0.02%
125 6 0.00% 0.02%
125 6 0.00% 0.02%
126 5 0.00% 0.01%
126 5 0.00% 0.01%
126 5 0.03% 0.01%
126 5 0.00% 0.01%
126 5 0.00% 0.01%
126 5 0.02% 0.01%
126 5 0.01% 0.01%
126 5 0.06% 0.01%
126 5 0.02% 0.01%
126 5 0.01% 0.01%
126 5 0.00% 0.01%
126 5 0.24% 0.01%
127 4 0.00% 0.01%
127 4 0.07% 0.01%
127 4 0.00% 0.01%
127 4 0.00% 0.01%
127 4 0.00% 0.01%
127 4 0.01% 0.01%
127 4 0.01% 0.01%
127 4 0.00% 0.01%
127 4 0.01% 0.01%
128 3 0.01% 0.01%
128 3 0.00% 0.01%
128 3 0.00% 0.01%
128 3 0.01% 0.01%
128 3 0.00% 0.01%
128 3 0.01% 0.01%
128 3 0.00% 0.01%
128 3 0.00% 0.01%
128 3 0.00% 0.01%
129 2 0.02% 0.01%
129 2 0.00% 0.01%
130 1 0.01% 0.00%
130 1 0.01% 0.00%
130 1 0.00% 0.00%
130 1 0.00% 0.00%
130 1 0.00% 0.00%
130 1 0.00% 0.00%
130 1 0.00% 0.00%
130 1 0.00% 0.00%
130 1 0.00% 0.00%
130 1 0.00% 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 county in United States by their Mongolian population, using the most recent ACS data available.

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

How We Ranked the Data

This ranking is based on the total number of people who identified as Mongolian alone or in combination in county. To provide additional context, we’ve also included two key percentages:
  1. % of Total County Population – This shows what percentage of the total state population identifies as Mongolian .
  2. % of Total United States Mongolian Population – This tells us how much of the entire U.S. Mongolian 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 Mongolian 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.
  • County that don’t have any reported Mongolian 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 Mongolian populations are most concentrated while keeping the numbers easy to understand.

Sources

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