2025

Cities in Iowa ranked by Multi-Racial Asian Population

This list ranks the 946 cities in Iowa based on their Multi-Racial Asian population, as estimated by the United States Census Bureau. It also highlights population changes in these cities over the past five years.
Updated Feb 13, 2025

Top 5 cities with the largest Multi-Racial Asian population in Iowa

View All
  • 1
    Des Moines
    Multi-Racial Asian population in Des Moines is 14,935
    6.38% of Des Moines population is Multi-Racial Asian
  • 2
    Cedar Rapids
    Multi-Racial Asian population in Cedar Rapids is 5,159
    3.48% of Cedar Rapids population is Multi-Racial Asian
  • 3
    Iowa City
    Multi-Racial Asian population in Iowa City is 6,560
    8.13% of Iowa City population is Multi-Racial Asian
  • 4
    West Des Moines
    Multi-Racial Asian population in West Des Moines is 6,401
    8.60% of West Des Moines population is Multi-Racial Asian
  • 5
    Ames
    Multi-Racial Asian population in Ames is 7,453
    10.68% of Ames population is Multi-Racial Asian

List of 946 cities in Iowa by Multi-Racial Asian Population

View Methodology
-
Rank by Multi-Racial Asian Population
City
Multi-Racial Asian Population
% of Total City Population
% of Total Iowa Multi-Racial Asian Population
5 Year Rank Trend
1 Des Moines 14,935 6.38% 15.54%
2 Cedar Rapids 5,159 3.48% 5.37%
3 Iowa City 6,560 8.13% 6.82%
4 West Des Moines 6,401 8.60% 6.66%
5 Ames 7,453 10.68% 7.75%
6 Sioux City 3,511 3.55% 3.65%
7 Ankeny 2,946 4.02% 3.06%
8 2,479 3.46% 2.58%
9 3,408 8.08% 3.55%
10 2,484 2.25% 2.58%
11 2,180 7.51% 2.27%
12 726 3.36% 0.76%
13 1,311 2.10% 1.36%
14 2,744 11.10% 2.85%
15 1,410 6.23% 1.47%
16 1,773 4.22% 1.84%
17 1,120 1.69% 1.17%
18 1,034 2.37% 1.08%
19 2,758 5.76% 2.87%
20 761 2.73% 0.79%
21 216 2.85% 0.22%
22 367 1.47% 0.38%
23 157 0.96% 0.16%
24 477 1.66% 0.50%
25 163 1.16% 0.17%
26 1,559 4.88% 1.62%
27 216 2.73% 0.22%
28 198 3.45% 0.21%
28 1,840 7.37% 1.91%
29 113 1.06% 0.12%
30 99 2.07% 0.10%
31 124 2.68% 0.13%
32 88 1.72% 0.09%
33 85 2.65% 0.09%
34 118 1.88% 0.12%
35 337 2.04% 0.35%
35 82 0.95% 0.09%
36 252 3.52% 0.26%
36 123 1.98% 0.13%
36 504 4.45% 0.52%
36 128 1.08% 0.13%
37 115 1.70% 0.12%
38 275 2.33% 0.29%
39 413 1.60% 0.43%
40 218 3.86% 0.23%
40 96 5.80% 0.10%
41 109 1.62% 0.11%
42 103 2.06% 0.11%
42 983 4.96% 1.02%
43 222 2.29% 0.23%
44 442 4.42% 0.46%
45 470 1.76% 0.49%
45 93 4.25% 0.10%
46 178 2.09% 0.19%
47 60 0.78% 0.06%
47 78 2.54% 0.08%
48 70 2.90% 0.07%
48 1,733 13.68% 1.80%
48 622 3.74% 0.65%
49 66 2.36% 0.07%
50 108 2.78% 0.11%
50 69 0.64% 0.07%
50 234 2.16% 0.24%
51 61 1.08% 0.06%
52 53 5.98% 0.06%
53 44 1.53% 0.05%
53 44 3.22% 0.05%
53 254 3.01% 0.26%
54 77 2.82% 0.08%
55 477 6.30% 0.50%
56 84 6.05% 0.09%
56 52 5.28% 0.05%
57 39 2.26% 0.04%
57 110 1.87% 0.11%
58 265 4.40% 0.28%
58 52 1.50% 0.05%
59 44 2.59% 0.05%
60 259 4.92% 0.27%
61 126 1.19% 0.13%
62 33 1.16% 0.03%
62 35 2.87% 0.04%
63 207 1.89% 0.22%
64 41 1.75% 0.04%
64 50 1.02% 0.05%
64 31 0.96% 0.03%
65 111 3.27% 0.12%
65 30 3.05% 0.03%
66 29 0.95% 0.03%
66 44 2.03% 0.05%
66 211 3.98% 0.22%
67 42 3.32% 0.04%
68 662 6.73% 0.69%
69 86 1.58% 0.09%
69 25 2.21% 0.03%
70 64 0.94% 0.07%
70 80 1.73% 0.08%
70 24 0.40% 0.02%
71 23 7.96% 0.02%
72 45 1.02% 0.05%
72 238 3.06% 0.25%
72 22 10.84% 0.02%
72 30 1.05% 0.03%
72 101 1.30% 0.11%
73 24 4.44% 0.02%
73 21 9.63% 0.02%
73 73 1.25% 0.08%
73 28 15.91% 0.03%
74 27 2.02% 0.03%
74 28 4.03% 0.03%
74 37 1.86% 0.04%
74 20 0.45% 0.02%
75 54 2.39% 0.06%
75 59 1.50% 0.06%
75 33 1.08% 0.03%
76 30 2.13% 0.03%
76 18 0.30% 0.02%
76 18 1.81% 0.02%
77 98 1.72% 0.10%
77 79 0.30% 0.08%
77 18 2.13% 0.02%
77 17 18.28% 0.02%
77 17 7.59% 0.02%
77 17 3.17% 0.02%
77 19 2.51% 0.02%
77 17 2.43% 0.02%
78 18 1.01% 0.02%
78 34 0.31% 0.04%
78 16 0.47% 0.02%
78 29 1.74% 0.03%
78 16 0.81% 0.02%
78 16 0.84% 0.02%
78 16 1.07% 0.02%
78 25 1.27% 0.03%
78 16 0.72% 0.02%
79 79 1.80% 0.08%
79 15 1.08% 0.02%
79 18 1.87% 0.02%
79 15 3.52% 0.02%
80 14 3.00% 0.01%
80 14 0.25% 0.01%
80 18 2.38% 0.02%
80 15 2.52% 0.02%
81 13 1.83% 0.01%
81 27 0.21% 0.03%
81 17 0.83% 0.02%
81 15 1.00% 0.02%
81 94 7.37% 0.10%
81 13 3.94% 0.01%
81 13 2.01% 0.01%
81 18 0.92% 0.02%
81 13 0.21% 0.01%
82 287 2.84% 0.30%
82 54 1.16% 0.06%
82 15 1.21% 0.02%
82 16 2.06% 0.02%
82 21 4.96% 0.02%
82 18 1.34% 0.02%
83 185 2.40% 0.19%
83 22 0.55% 0.02%
83 11 0.86% 0.01%
83 14 6.42% 0.01%
83 11 2.75% 0.01%
83 21 2.45% 0.02%
83 16 0.65% 0.02%
84 10 0.40% 0.01%
84 10 1.05% 0.01%
84 29 0.45% 0.03%
84 10 2.37% 0.01%
84 10 0.89% 0.01%
84 10 0.23% 0.01%
84 26 3.70% 0.03%
84 10 2.82% 0.01%
84 10 1.49% 0.01%
85 20 1.93% 0.02%
85 9 2.06% 0.01%
85 9 3.83% 0.01%
85 13 2.36% 0.01%
85 26 1.21% 0.03%
85 17 0.40% 0.02%
85 11 1.35% 0.01%
86 75 4.66% 0.08%
86 8 1.06% 0.01%
86 8 2.75% 0.01%
86 8 4.44% 0.01%
86 38 1.81% 0.04%
86 8 1.25% 0.01%
86 20 1.34% 0.02%
86 16 2.35% 0.02%
86 8 0.98% 0.01%
87 7 0.66% 0.01%
87 34 0.60% 0.04%
87 20 3.77% 0.02%
87 7 1.38% 0.01%
87 18 14.88% 0.02%
87 7 2.41% 0.01%
87 15 0.88% 0.02%
87 12 2.88% 0.01%
87 41 1.86% 0.04%
87 8 1.25% 0.01%
87 13 1.08% 0.01%
87 7 0.77% 0.01%
87 7 1.60% 0.01%
87 43 1.32% 0.04%
88 6 1.01% 0.01%
88 6 4.26% 0.01%
88 8 6.25% 0.01%
88 6 0.75% 0.01%
88 6 0.73% 0.01%
88 12 2.70% 0.01%
88 6 1.10% 0.01%
88 6 0.91% 0.01%
89 5 1.11% 0.01%
89 5 0.41% 0.01%
89 9 1.49% 0.01%
89 11 0.39% 0.01%
89 81 1.04% 0.08%
89 5 1.09% 0.01%
89 5 0.57% 0.01%
89 5 0.34% 0.01%
89 7 0.65% 0.01%
89 17 1.18% 0.02%
90 297 11.99% 0.31%
90 7 1.42% 0.01%
90 12 0.86% 0.01%
90 11 2.29% 0.01%
90 7 1.54% 0.01%
90 23 0.89% 0.02%
90 4 0.24% -
90 11 1.87% 0.01%
90 91 3.26% 0.09%
90 4 0.39% -
90 4 0.63% -
90 6 3.68% 0.01%
90 12 2.78% 0.01%
90 4 0.73% -
90 20 1.10% 0.02%
90 4 0.92% -
90 10 0.89% 0.01%
90 4 0.31% -
90 4 1.08% -
90 4 0.08% -
90 9 0.52% 0.01%
90 4 0.29% -
91 7 1.74% 0.01%
91 3 0.57% -
91 3 0.59% -
91 3 0.86% -
91 13 1.67% 0.01%
91 3 0.87% -
91 10 2.53% 0.01%
91 3 0.47% -
91 5 1.40% 0.01%
91 3 0.70% -
91 3 0.24% -
91 13 2.42% 0.01%
91 3 0.99% -
91 3 0.51% -
91 3 0.28% -
91 17 15.89% 0.02%
91 5 0.90% 0.01%
91 4 0.88% -
91 3 0.22% -
91 5 0.39% 0.01%
92 2 1.94% -
92 2 0.83% -
92 12 1.80% 0.01%
92 3 0.97% -
92 16 3.34% 0.02%
92 2 0.25% -
92 4 0.56% -
92 7 1.20% 0.01%
92 2 0.80% -
92 2 0.21% -
92 2 0.32% -
92 2 0.22% -
92 2 0.57% -
92 3 2.16% -
92 2 1.06% -
92 3 0.18% -
92 2 0.21% -
92 4 1.48% -
92 19 3.31% 0.02%
92 115 13.81% 0.12%
92 11 8.46% 0.01%
92 4 0.71% -
92 325 7.50% 0.34%
92 4 0.15% -
92 3 0.32% -
92 2 0.57% -
92 2 0.10% -
93 1 0.13% -
93 1 0.31% -
93 39 7.77% 0.04%
93 1 1.43% -
93 15 1.17% 0.02%
93 1 0.29% -
93 1 0.33% -
93 1 0.46% -
93 3 0.67% -
93 1 0.20% -
93 4 0.20% -
93 2 0.49% -
93 1 0.25% -
93 1 0.35% -
93 1 0.75% -
93 1 0.14% -
93 1 0.10% -
93 1 0.45% -
94 219 34.49% 0.23%
94 6 0.58% 0.01%
94 5 2.39% 0.01%
94 7 0.68% 0.01%
94 1 0.14% -
94 4 0.44% -
94 3 5.17% -
94 1 0.85% -
94 3 0.21% -
94 84 1.02% 0.09%
94 44 2.25% 0.05%
94 1 0.25% -
94 2 0.20% -
94 1 0.31% -
94 1 1.22% -
94 1 0.03% -
94 5 0.38% 0.01%
94 1 0.12% -
94 2 0.39% -
94 200 8.39% 0.21%
94 8 0.86% 0.01%
94 28 1.73% 0.03%
94 11 0.52% 0.01%
94 17 1.72% 0.02%
94 5 2.79% 0.01%
94 1 0.31% -
94 47 2.06% 0.05%
94 34 3.51% 0.04%
94 209 3.74% 0.22%
94 73 1.64% 0.08%
94 11 1.29% 0.01%
94 23 1.12% 0.02%
94 43 1.16% 0.04%
94 73 5.52% 0.08%
94 9 1.41% 0.01%
94 3 0.10% -
94 3 1.00% -
94 4 0.64% -
94 6 0.59% 0.01%
94 18 1.50% 0.02%
94 2 0.44% -
94 40 2.34% 0.04%
94 13 1.22% 0.01%
94 7 0.79% 0.01%
94 6 2.84% 0.01%
94 1 0.69% -
94 3 0.39% -
94 3 0.32% -
94 9 2.56% 0.01%
94 10 0.63% 0.01%
94 65 1.29% 0.07%
94 26 0.51% 0.03%
94 1 3.33% -
94 25 2.00% 0.03%
94 7 4.43% 0.01%
94 2 0.50% -
94 6 0.95% 0.01%
94 16 1.11% 0.02%
94 5 0.22% 0.01%
94 12 1.65% 0.01%
94 3 0.56% -
94 9 0.80% 0.01%
94 7 0.76% 0.01%
94 1 0.41% -
94 3 0.91% -
94 6 1.53% 0.01%
94 57 14.54% 0.06%
94 2 0.50% -
94 2 0.45% -
94 13 5.51% 0.01%
94 6 0.42% 0.01%
94 9 0.64% 0.01%
94 10 0.64% 0.01%
94 21 2.47% 0.02%
94 2 1.23% -
94 2 0.61% -
94 6 0.66% 0.01%
94 1 0.73% -
94 4 1.05% -
94 3 2.68% -
94 6 0.45% 0.01%
94 4 0.58% -
94 2 1.60% -
94 2 2.56% -
94 4 0.39% -
94 2 0.08% -
94 3 1.47% -
94 26 3.12% 0.03%
94 8 0.84% 0.01%
94 77 12.77% 0.08%
94 53 1.47% 0.06%
94 39 0.65% 0.04%
94 6 0.66% 0.01%
94 4 2.50% -
94 39 2.20% 0.04%
94 5 0.59% 0.01%
94 21 1.05% 0.02%
94 1 0.24% -
94 1 0.10% -
94 6 0.80% 0.01%
94 4 2.45% -
94 1 0.13% -
94 10 0.39% 0.01%
94 3 0.46% -
94 6 2.58% 0.01%
94 1 0.25% -
94 9 0.59% 0.01%
94 6 0.70% 0.01%
94 36 3.04% 0.04%
94 46 1.52% 0.05%
94 6 0.38% 0.01%
94 1 0.51% -
94 2 0.42% -
94 1 0.09% -
94 15 0.41% 0.02%
94 98 67.12% 0.10%
94 10 0.97% 0.01%
94 1 0.25% -
94 33 12.94% 0.03%
94 8 1.07% 0.01%
94 1 0.14% -
94 4 1.10% -
94 22 0.51% 0.02%
94 1 0.42% -
94 5 0.49% 0.01%
94 13 0.47% 0.01%
94 29 2.61% 0.03%
94 85 6.07% 0.09%
94 38 6.39% 0.04%
94 3 0.73% -
94 22 0.84% 0.02%

List of cities with no Multi-Racial Asian Population in Iowa

According to data from the United States Census Bureau, the following cities in Iowa have no recorded Multi-Racial Asian population*:
  • Ackworth
  • Agency
  • Akron
  • Albert City
  • Alburnett
  • Alden
  • Alexander
  • Allerton
  • Alta Vista
  • Andover
  • Andrew
  • Anita
  • Anthon
  • Arcadia
  • Archer
  • Aredale
  • Arispe
  • Arnolds Park
  • Arthur
  • Aspinwall
  • Atalissa
  • Auburn
  • Audubon
  • Aurora
  • Ayrshire
  • Bagley
  • Baldwin
  • Balltown
  • Bankston
  • Barnum
  • Batavia
  • Battle Creek
  • Baxter
  • Bayard
  • Beaconsfield
  • Beaver
  • Benton
  • Berkley
  • Bernard
  • Birmingham
  • Blairsburg
  • Blanchard
  • Blencoe
  • Blockton
  • Bode
  • Bonaparte
  • Bouton
  • Boxholm
  • Boyden
  • Braddyville
  • Bradgate
  • Brandon
  • Brayton
  • Breda
  • Bridgewater
  • Brighton
  • Bristow
  • Brooklyn
  • Brunsville
  • Buckeye
  • Buck Grove
  • Buffalo
  • Bussey
  • Calamus
  • Calmar
  • Calumet
  • Carbon
  • Carson
  • Castalia
  • Castana
  • Center Junction
  • Central City
  • Centralia
  • Charlotte
  • Chatsworth
  • Chester
  • Chillicothe
  • Cincinnati
  • Clare
  • Clarence
  • Clayton
  • Cleghorn
  • Clemons
  • Clio
  • Coburg
  • Coin
  • Colesburg
  • College Springs
  • Columbus City
  • Colwell
  • Conway
  • Corwith
  • Cotter
  • Coulter
  • Craig
  • Crawfordsville
  • Crescent
  • Cromwell
  • Crystal Lake
  • Cumberland
  • Curlew
  • Cushing
  • Dakota City
  • Dana
  • Danbury
  • Dawson
  • Dedham
  • Defiance
  • Delaware
  • Delmar
  • Deloit
  • Delphos
  • Derby
  • Dexter
  • Diagonal
  • Dickens
  • Dixon
  • Dolliver
  • Donahue
  • Donnellson
  • Doon
  • Dougherty
  • Dow City
  • Drakesville
  • Dumont
  • Dundee
  • Durango
  • Earlham
  • Earling
  • Earlville
  • Early
  • East Peru
  • Elberon
  • Elgin
  • Elkader
  • Elkport
  • Elliott
  • Ellston
  • Ellsworth
  • Elma
  • Epworth
  • Evansdale
  • Exira
  • Exline
  • Farley
  • Farmersburg
  • Farmington
  • Fenton
  • Ferguson
  • Fertile
  • Floris
  • Floyd
  • Fonda
  • Fort Atkinson
  • Fostoria
  • Franklin
  • Fraser
  • Frederika
  • Fredonia
  • Fremont
  • Galt
  • Galva
  • Garber
  • Garden Grove
  • Garnavillo
  • Garwin
  • Geneva
  • George
  • Gibson
  • Gillett Grove
  • Goldfield
  • Goodell
  • Goose Lake
  • Graettinger
  • Graf
  • Grafton
  • Grand Junction
  • Grand River
  • Grant
  • Granville
  • Gravity
  • Gray
  • Greeley
  • Greenfield
  • Greenville
  • Griswold
  • Gruver
  • Guernsey
  • Guttenberg
  • Halbur
  • Hamilton
  • Hancock
  • Hanlontown
  • Hansell
  • Hardy
  • Harper
  • Harpers Ferry
  • Harris
  • Hartley
  • Havelock
  • Haverhill
  • Hawarden
  • Hawkeye
  • Hayesville
  • Hedrick
  • Henderson
  • Hillsboro
  • Holy Cross
  • Hospers
  • Houghton
  • Hubbard
  • Hull
  • Humeston
  • Ida Grove
  • Imogene
  • Inwood
  • Ionia
  • Irwin
  • Jamaica
  • Joice
  • Jolley
  • Kellerton
  • Kensett
  • Keomah Village
  • Keosauqua
  • Keota
  • Keswick
  • Keystone
  • Kinross
  • Kirkman
  • Kirkville
  • Kiron
  • Klemme
  • Knierim
  • Lacona
  • Lake View
  • Lakota
  • Lambs Grove
  • La Motte
  • Lanesboro
  • Lansing
  • La Porte City
  • Latimer
  • Laurel
  • Lawler
  • Leon
  • Le Roy
  • Lewis
  • Lidderdale
  • Lincoln
  • Linden
  • Lisbon
  • Liscomb
  • Little Sioux
  • Livermore
  • Lone Rock
  • Lorimor
  • Lovilia
  • Lowden
  • Luana
  • Luther
  • Luxemburg
  • Luzerne
  • Lynnville
  • Mccausland
  • Mcclelland
  • Mcgregor
  • Mcintire
  • Macksburg
  • Magnolia
  • Malcom
  • Mallard
  • Maloy
  • Manchester
  • Manilla
  • Mapleton
  • Marble Rock
  • Marcus
  • Marengo
  • Marne
  • Martensdale
  • Martinsburg
  • Marysville
  • Masonville
  • Matlock
  • Maurice
  • Maynard
  • Maysville
  • Mechanicsville
  • Melbourne
  • Menlo
  • Meriden
  • Meservey
  • Middletown
  • Miles
  • Millerton
  • Milton
  • Minburn
  • Missouri Valley
  • Mitchell
  • Modale
  • Mondamin
  • Montour
  • Moorhead
  • Moorland
  • Morley
  • Morning Sun
  • Moulton
  • Mount Auburn
  • Mount Ayr
  • Mount Sterling
  • Mount Union
  • Mystic
  • Neola
  • New Albin
  • New Hampton
  • New Liberty
  • New Sharon
  • New Vienna
  • New Virginia
  • Nichols
  • Nodaway
  • Northboro
  • North Buena Vista
  • North Washington
  • Norway
  • Numa
  • Oakville
  • Odebolt
  • Ogden
  • Olds
  • Ollie
  • Onawa
  • Onslow
  • Orchard
  • Osterdock
  • Otho
  • Oto
  • Ottosen
  • Owasa
  • Oxford
  • Oxford Junction
  • Oyens
  • Pacific Junction
  • Packwood
  • Palmer
  • Panama
  • Panora
  • Parnell
  • Paton
  • Patterson
  • Persia
  • Peterson
  • Pilot Mound
  • Pisgah
  • Pleasanton
  • Pleasant Plain
  • Plover
  • Pocahontas
  • Popejoy
  • Prairieburg
  • Prescott
  • Preston
  • Promise City
  • Pulaski
  • Quimby
  • Radcliffe
  • Rake
  • Randalia
  • Randolph
  • Rathbun
  • Reasnor
  • Redding
  • Reinbeck
  • Rembrandt
  • Renwick
  • Rhodes
  • Rickardsville
  • Ricketts
  • Rinard
  • Ringsted
  • Rock Falls
  • Rockford
  • Rock Valley
  • Rockwell
  • Rodman
  • Rodney
  • Rome
  • Rose Hill
  • Rossie
  • Rowley
  • Russell
  • Rutland
  • Sageville
  • St. Charles
  • St. Donatus
  • St. Lucas
  • St. Marys
  • St. Olaf
  • St. Paul
  • Salix
  • Sandyville
  • Scarville
  • Scranton
  • Searsboro
  • Seymour
  • Shambaugh
  • Sharpsburg
  • Sheffield
  • Shell Rock
  • Shellsburg
  • Sherrill
  • Silver City
  • Sloan
  • Smithland
  • Soldier
  • South English
  • Spragueville
  • Springbrook
  • Spring Hill
  • Stanton
  • State Center
  • Steamboat Rock
  • Stockport
  • Stockton
  • Story City
  • Struble
  • Superior
  • Swaledale
  • Swan
  • Templeton
  • Tennant
  • Terril
  • Thayer
  • Thompson
  • Thornburg
  • Thurman
  • Tingley
  • Titonka
  • Toronto
  • Truro
  • Turin
  • Udell
  • Unionville
  • Ute
  • Vail
  • Valeria
  • Van Horne
  • Varina
  • Villisca
  • Vincent
  • Vining
  • Vinton
  • Wallingford
  • Wapello
  • Washta
  • Waterville
  • Waucoma
  • Webb
  • Webster
  • Weldon
  • Wellman
  • Welton
  • West Burlington
  • West Chester
  • Westfield
  • Westgate
  • Westphalia
  • Westwood
  • Whiting
  • Willey
  • Winterset
  • Winthrop
  • Wiota
  • Woolstock
  • Worthington
  • Yale
  • Yetter
  • Yorktown
  • Adair
  • Barnes City
  • Bevington
  • Casey
  • Clearfield
  • Coon Rapids
  • Coppock
  • Dows
  • Fairbank
  • Janesville
  • Jesup
  • Le Grand
  • Lenox
  • Lu Verne
  • Lytton
  • Nashua
  • Nora Springs
  • Ralston
  • Shannon City
  • Shelby
  • Stanley
  • Stratford
  • Tabor
  • West Bend
  • Zwingle
  • Decatur City
  • Hepburn
  • Pioneer
* These cities were not included in the ranking above, as they do not meet the population criteria. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting.

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 cities in Iowa by their Multi-Racial Asian population, using the most recent ACS data available.

How the Census Defines Multi-Racial Asian Population

The U.S. Census Bureau allows people to self-identify their race, meaning individuals can choose one or more racial categories when responding to the survey. In this ranking, we include everyone who identifies as Multi-Racial Asian, whether alone or in combination with another race.
Here are a few important things to know about how race is reported:
  • Some people identify as Multi-Racial Asian alone, while others identify as Multi-Racial Asian along with another race (such as Multi-Racial Asian and White).
  • Hispanic / Latino origin is reported separately from race, so someone can be both Hispanic and Multi-Racial Asian .
  • We’ve used the “Multi-Racial Asian alone or in combination” category unless noted otherwise, which gives a broader picture of the Multi-Racial Asian population in each area.

How We Ranked the Data

This ranking is based on the total number of people who identified as Multi-Racial Asian alone or in combination in cities. 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 Multi-Racial Asian .
  2. % of Total Iowa Multi-Racial Asian Population – This tells us how much of the entire U.S. Multi-Racial Asian 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 Multi-Racial Asian 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.
  • Cities that don’t have any reported Multi-Racial Asian 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 Multi-Racial Asian populations are most concentrated while keeping the numbers easy to understand.

Sources

U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.