Zip Codes with the Highest Population in Iowa

Q: What are the Top 10 Zip Codes with the Highest Population in Iowa?

Top 10 Zip Codes with the Highest Population in Iowa are: #1 50023 45,195 . #2 50613 43,732 . #3 52001 42,895 . #4 52302 42,803 . #5 52402 42,648 . #6 52404 41,433 . #7 52722 40,639 . #8 51503 37,081 . #9 52240 36,475 . #10 50315 36,355 .

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Highest Population

Population

Highest PopulationHighest Population Density Lowest Population Density Male / Female Ratio Female / Male Ratio Oldest Population Oldest Population | Male Oldest Population | Female Youngest Population Youngest Population | Male Youngest Population | Female

Families and Households

Largest Family Size Largest Household Size Most Single Fathers Most Single Mothers Fewest Single Fathers Fewest Single Mothers Smallest Family Size Smallest Household Size

Female Fertility

Female Fertility (Unmarried)

Race (Community Size)

Asian Black / African American Hawaiian / Pacific Hispanic or Latino Native / Alaskan White / Caucasian

Race (Percentage)

Asian Black / African American Hawaiian / Pacific Hispanic or Latino Native / Alaskan White / Caucasian

Ancestry (Community Size)

Afghan African Alaska Native Alaskan Athabascan Albanian Aleut Alsatian American Apache Arab Arapaho Argentinean Armenian Assyrian / Chaldean / Syriac Australian Austrian Bahamian Bangladeshi Barbadian Basque Belgian Belizean Bermudan Bhutanese Blackfeet Bolivian Brazilian British British West Indian Bulgarian Burmese Cajun Cambodian Canadian Cape Verdean Carpatho Rusyn Celtic Central American Central American Indian Cherokee Cheyenne Chickasaw Chilean Chinese Chippewa Choctaw Colombian Colville Comanche Costa Rican Cree Creek Croatian Crow Cuban Cypriot Czech Czechoslovakian Danish Delaware Dominican Dutch Dutch West Indian Eastern European Ecuadorian Egyptian English Estonian Ethiopian European Fijian Filipino Finnish French French American Indian French Canadian German German Russian Ghanaian Greek Guamanian / Chamorro Guatemalan Guyanese Haitian Hmong Honduran Hopi Houma Hungarian Icelander Indian (Asian)Indonesian Inupiat Iranian Iraqi Irish Iroquois Israeli Italian Jamaican Japanese Jordanian Kenyan Kiowa Korean Laotian Latvian Lebanese Liberian Lithuanian Lumbee Luxembourger Macedonian Malaysian Maltese Marshallese Menominee Mexican Mexican American Indian Mongolian Moroccan Native Hawaiian Navajo Nepalese New Zealander Nicaraguan Nigerian Northern European Norwegian Okinawan Osage Ottawa Paiute Pakistani Palestinian Panamanian Paraguayan Pennsylvania German Peruvian Pima Polish Portuguese Potawatomi Pueblo Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Seminole Senegalese Serbian Shoshone Sierra Leonean Sioux Slavic Slovak Slovene Somali South African South American South American Indian Soviet Union Spaniard Spanish Spanish American Spanish American Indian Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Taiwanese Thai Tlingit-Haida Tohono O'Odham Tongan Trinidadian and Tobagonian Tsimshian Turkish U.S. Virgin Islander Ugandan Ukrainian Uruguayan Ute Venezuelan Vietnamese Welsh West Indian Yakama Yaqui Yugoslavian Yuman Yup'ik Zimbabwean

Ancestry (Percentage)

Immigrant Origin (Total)

Afghanistan Africa Albania Argentina Armenia Asia Australia Austria Azores Bahamas Bangladesh Barbados Belarus Belgium Belize Bolivia Bosnia and Herzegovina Brazil Bulgaria Burma / Myanmar Cabo Verde Cambodia Cameroon Canada Caribbean Central America Chile China Colombia Congo Costa Rica Croatia Cuba Czechoslovakia Denmark Dominica Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Eritrea Ethiopia Europe Fiji France Germany Ghana Greece Grenada Guatemala Guyana Haiti Honduras Hong Kong Hungary India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea Kuwait Laos Latin America Latvia Lebanon Liberia Lithuania Malaysia Mexico Micronesia Middle Africa Moldova Morocco Nepal Netherlands Nicaragua Nigeria North Macedonia Northern Africa Northern Europe Norway Oceania Pakistan Panama Peru Philippines Poland Portugal Romania Russia Saudi Arabia Scotland Senegal Serbia Sierra Leone Singapore Somalia South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sri Lanka St. Vincent and the Grenadines Sudan Sweden Switzerland Syria Taiwan Thailand Trinidad and Tobago Turkey Uganda Ukraine Uruguay Uzbekistan Venezuela Vietnam West Indies Western Africa Western Asia Western Europe Yemen Zaire Zimbabwe

Immigrant Origin (Percentage)

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Highest Inequality / Gini Index Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)Lowest Inequality / Gini Index

Income (Families)

Highest Family Income Lowest Family Income Family Income | $0-10k Family Income | $100k+Family Income | $200k+

Income (Households)

Highest Household Income Lowest Household Income Household Income | $0-10k Household Income | $200k+Household Income | $100k+

Poverty

Poverty (Families)

Unemployment

Employment Occupations

Architecture & Engineering Arts, Media & Entertainment Business & Financial Cleaning & Maintenance Community & Social Service Computer & Mathematics Computer, Engineering & Science Construction & Extraction Education Instruction & Library Education, Arts & Media Farming, Fishing & Forestry Firefighting & Prevention Food Preparation & Serving Health Diagnosing & Treating Health Technologists Healthcare Support Installation, Maintenance & Repair Law Enforcement Legal Services & Support Life, Physical & Social Science Management Material Moving Office & Administration Personal Care and Service Production Sales & Related Security & Protection Transportation

Employment Industries

Accommodation & Food Services Administrative & Support Services Agriculture, Fishing & Hunting Arts, Entertainment & Recreation Construction Educational Services Enterprise Management Finance & Insurance Health Care & Social Assistance Information & Technology Manufacturing Mining, Quarrying, & Extraction Professional & Scientific Services Public Administration Real Estate, Rental & Leasing Retail Trade Transportation & Warehousing Utilities Wholesale Trade

Employer Class

Private Company Employees Self-Employed / Incorporated Self-Employed / Not Incorporated Not-for-profit Organizations Local Government Employees State Government Employees Federal Government Employees Unpaid Family Workers

Commute Time

Longest Commute Longest Commute | Male Longest Commute | Female Shortest Commute Shortest Commute | Male Shortest Commute | Female

Commute Means

Drive | Alone Drive | Carpool Public Transit Taxi / Cab Walk to Work Work from Home

School Enrollment

In Private School Nursery / Preschool Kindergarten Elementary School Middle School High School College University

Education by Degree Field

Computers and Mathematics Bio, Nature & Agricultural Physical and Health Sciences Psychology Social Sciences Engineering Multidisciplinary Studies Science and Engineering Business Education Literature and Languages Liberal Arts and History Visual and Performing Arts Communications Arts and Humanities

Occupancy

Highest Owner-Occupied Highest Renter-Occupied Lowest Owner-Occupied Lowest Renter-Occupied

Finances

Highest Median Housing Costs Highest Property Prices Highest Owner Housing Costs Highest Renter Housing Costs Highest Housing Costs / Income Lowest Median Housing Costs Lowest Property Prices Lowest Owner Housing Costs Lowest Renter Housing Costs Lowest Housing Costs / Income

Physical Characteristics

Detached Home Residency Condo/Apartment Residency Utility Gas Heating Bottled Gas / LP Heating Electrical Heating Fuel Oil Heating Coal / Coke Heating Fuel-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Iowa

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Map of Zip Codes with the Highest Population in Iowa

50,000

Zip Codes with the Highest Population in Iowa

	Zip Code	People	vs State	vs National
1.	50023	45,195	3,188,836(-3.14m)#1	331,097,593(-331m)#1,370
2.	50613	43,732	3,188,836(-3.15m)#2	331,097,593(-331m)#1,529
3.	52001	42,895	3,188,836(-3.15m)#3	331,097,593(-331m)#1,619
4.	52302	42,803	3,188,836(-3.15m)#4	331,097,593(-331m)#1,629
5.	52402	42,648	3,188,836(-3.15m)#5	331,097,593(-331m)#1,647
6.	52404	41,433	3,188,836(-3.15m)#6	331,097,593(-331m)#1,785
7.	52722	40,639	3,188,836(-3.15m)#7	331,097,593(-331m)#1,905
8.	51503	37,081	3,188,836(-3.15m)#8	331,097,593(-331m)#2,414
9.	52240	36,475	3,188,836(-3.15m)#9	331,097,593(-331m)#2,516
10.	50315	36,355	3,188,836(-3.15m)#10	331,097,593(-331m)#2,533
11.	50266	35,508	3,188,836(-3.15m)#11	331,097,593(-331m)#2,666
12.	50317	35,466	3,188,836(-3.15m)#12	331,097,593(-331m)#2,674
13.	51501	35,400	3,188,836(-3.15m)#13	331,097,593(-331m)#2,681
14.	50010	33,397	3,188,836(-3.16m)#14	331,097,593(-331m)#3,020
15.	50265	33,222	3,188,836(-3.16m)#15	331,097,593(-331m)#3,045
16.	50310	31,976	3,188,836(-3.16m)#16	331,097,593(-331m)#3,284
17.	50322	31,917	3,188,836(-3.16m)#17	331,097,593(-331m)#3,291
18.	50014	31,376	3,188,836(-3.16m)#18	331,097,593(-331m)#3,401
19.	50158	31,047	3,188,836(-3.16m)#19	331,097,593(-331m)#3,469
20.	52501	30,535	3,188,836(-3.16m)#20	331,097,593(-331m)#3,571
21.	52761	30,357	3,188,836(-3.16m)#21	331,097,593(-331m)#3,614
22.	50701	30,128	3,188,836(-3.16m)#22	331,097,593(-331m)#3,657
23.	50401	28,909	3,188,836(-3.16m)#23	331,097,593(-331m)#3,925
24.	50501	28,530	3,188,836(-3.16m)#24	331,097,593(-331m)#4,029
25.	52806	27,733	3,188,836(-3.16m)#25	331,097,593(-331m)#4,234
26.	51106	27,652	3,188,836(-3.16m)#26	331,097,593(-331m)#4,250
27.	52601	27,592	3,188,836(-3.16m)#27	331,097,593(-331m)#4,264
28.	50021	27,375	3,188,836(-3.16m)#28	331,097,593(-331m)#4,321
29.	52804	26,812	3,188,836(-3.16m)#29	331,097,593(-331m)#4,462
30.	52405	26,259	3,188,836(-3.16m)#30	331,097,593(-331m)#4,592
31.	52732	25,984	3,188,836(-3.16m)#31	331,097,593(-331m)#4,666
32.	50263	25,635	3,188,836(-3.16m)#32	331,097,593(-331m)#4,781
33.	52403	24,191	3,188,836(-3.16m)#33	331,097,593(-331m)#5,099
34.	50131	23,967	3,188,836(-3.16m)#34	331,097,593(-331m)#5,159
35.	50320	23,709	3,188,836(-3.17m)#35	331,097,593(-331m)#5,221
36.	51104	22,759	3,188,836(-3.17m)#36	331,097,593(-331m)#5,474
37.	52241	22,494	3,188,836(-3.17m)#37	331,097,593(-331m)#5,538
38.	52246	22,340	3,188,836(-3.17m)#38	331,097,593(-331m)#5,577
39.	52317	22,119	3,188,836(-3.17m)#39	331,097,593(-331m)#5,634
40.	52245	22,088	3,188,836(-3.17m)#40	331,097,593(-331m)#5,646
41.	52803	21,558	3,188,836(-3.17m)#41	331,097,593(-331m)#5,781
42.	50009	21,402	3,188,836(-3.17m)#42	331,097,593(-331m)#5,816
43.	50702	20,818	3,188,836(-3.17m)#43	331,097,593(-331m)#5,990
44.	50125	20,364	3,188,836(-3.17m)#44	331,097,593(-331m)#6,126
45.	50208	20,339	3,188,836(-3.17m)#45	331,097,593(-331m)#6,132
46.	50703	18,587	3,188,836(-3.17m)#46	331,097,593(-331m)#6,626
47.	50325	18,576	3,188,836(-3.17m)#47	331,097,593(-331m)#6,634
48.	50313	18,291	3,188,836(-3.17m)#48	331,097,593(-331m)#6,727
49.	52002	17,871	3,188,836(-3.17m)#49	331,097,593(-331m)#6,855
50.	51103	17,005	3,188,836(-3.17m)#50	331,097,593(-331m)#7,133
51.	52807	16,806	3,188,836(-3.17m)#51	331,097,593(-331m)#7,200
52.	50316	16,647	3,188,836(-3.17m)#52	331,097,593(-331m)#7,254
53.	50323	16,511	3,188,836(-3.17m)#53	331,097,593(-331m)#7,297
54.	50036	16,418	3,188,836(-3.17m)#54	331,097,593(-331m)#7,335
55.	50311	15,869	3,188,836(-3.17m)#55	331,097,593(-331m)#7,527
56.	50111	15,745	3,188,836(-3.17m)#56	331,097,593(-331m)#7,565
57.	50312	15,498	3,188,836(-3.17m)#57	331,097,593(-331m)#7,651
58.	50211	15,120	3,188,836(-3.17m)#58	331,097,593(-331m)#7,785
59.	52577	14,437	3,188,836(-3.17m)#59	331,097,593(-331m)#8,030
60.	50219	13,940	3,188,836(-3.17m)#60	331,097,593(-331m)#8,226
61.	52003	13,820	3,188,836(-3.18m)#61	331,097,593(-331m)#8,268
62.	50588	13,263	3,188,836(-3.18m)#62	331,097,593(-331m)#8,467
63.	52101	12,962	3,188,836(-3.18m)#63	331,097,593(-331m)#8,588
64.	52641	12,812	3,188,836(-3.18m)#64	331,097,593(-331m)#8,647
65.	50677	12,746	3,188,836(-3.18m)#65	331,097,593(-331m)#8,672
66.	52627	12,719	3,188,836(-3.18m)#66	331,097,593(-331m)#8,683
67.	50327	12,672	3,188,836(-3.18m)#67	331,097,593(-331m)#8,697
68.	51031	12,595	3,188,836(-3.18m)#68	331,097,593(-331m)#8,732
69.	51301	12,326	3,188,836(-3.18m)#69	331,097,593(-331m)#8,836
70.	51401	12,174	3,188,836(-3.18m)#70	331,097,593(-331m)#8,892
71.	52632	12,087	3,188,836(-3.18m)#71	331,097,593(-331m)#8,920
72.	50138	12,086	3,188,836(-3.18m)#72	331,097,593(-331m)#8,921
73.	50112	11,827	3,188,836(-3.18m)#73	331,097,593(-331m)#9,012
74.	52556	11,647	3,188,836(-3.18m)#74	331,097,593(-331m)#9,076
75.	51105	11,214	3,188,836(-3.18m)#75	331,097,593(-331m)#9,259
76.	50314	10,086	3,188,836(-3.18m)#76	331,097,593(-331m)#9,787
77.	52748	9,737	3,188,836(-3.18m)#77	331,097,593(-331m)#9,953
78.	51250	9,667	3,188,836(-3.18m)#78	331,097,593(-331m)#9,992
79.	51442	9,648	3,188,836(-3.18m)#79	331,097,593(-331m)#9,998
80.	52802	9,557	3,188,836(-3.18m)#80	331,097,593(-331m)#10,051
81.	50616	9,544	3,188,836(-3.18m)#81	331,097,593(-331m)#10,056
82.	50035	9,507	3,188,836(-3.18m)#82	331,097,593(-331m)#10,068
83.	51534	9,435	3,188,836(-3.18m)#83	331,097,593(-331m)#10,102
84.	50309	9,307	3,188,836(-3.18m)#84	331,097,593(-331m)#10,173
85.	50003	9,263	3,188,836(-3.18m)#85	331,097,593(-331m)#10,200
86.	50428	9,119	3,188,836(-3.18m)#86	331,097,593(-331m)#10,283
87.	50220	9,037	3,188,836(-3.18m)#87	331,097,593(-331m)#10,334
88.	50801	8,957	3,188,836(-3.18m)#88	331,097,593(-331m)#10,373
89.	52353	8,930	3,188,836(-3.18m)#89	331,097,593(-331m)#10,388
90.	50273	8,866	3,188,836(-3.18m)#90	331,097,593(-331m)#10,418
91.	50595	8,823	3,188,836(-3.18m)#91	331,097,593(-331m)#10,453
92.	50644	8,705	3,188,836(-3.18m)#92	331,097,593(-331m)#10,524
93.	50022	8,664	3,188,836(-3.18m)#93	331,097,593(-331m)#10,539
94.	52205	8,537	3,188,836(-3.18m)#94	331,097,593(-331m)#10,621
95.	51360	8,533	3,188,836(-3.18m)#95	331,097,593(-331m)#10,626
96.	50201	8,291	3,188,836(-3.18m)#96	331,097,593(-331m)#10,764
97.	52411	8,242	3,188,836(-3.18m)#97	331,097,593(-331m)#10,790
98.	52057	8,082	3,188,836(-3.18m)#98	331,097,593(-331m)#10,887
99.	52060	7,974	3,188,836(-3.18m)#99	331,097,593(-331m)#10,947
100.	50321	7,941	3,188,836(-3.18m)#100	331,097,593(-331m)#10,969