Zip Codes with the Youngest Population in Iowa

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

Top 10 Zip Codes with the Youngest Population in Iowa are: #1 51111 6.0 . #2 50592 9.5 . #3 50031 16.5 . #4 52242 19.2 . #5 50013 19.3 . #6 50012 19.3 . #7 52584 21.5 . #8 50032 22.0 . #9 51343 22.7 . #10 50014 22.9 .

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Youngest Population

Population

Highest Population Highest Population Density Lowest Population Density Male / Female Ratio Female / Male Ratio Oldest Population Oldest Population | Male Oldest Population | FemaleYoungest PopulationYoungest 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 Youngest Population in Iowa

40.0

0.0

Zip Codes with the Youngest Population in Iowa

	Zip Code	Median Age	vs State	vs National
1.	51111	6.0	38.4(-32.4)#1	38.5(-32.5)#7
2.	50592	9.5	38.4(-28.9)#2	38.5(-29.0)#22
3.	50031	16.5	38.4(-21.9)#3	38.5(-22.0)#87
4.	52242	19.2	38.4(-19.2)#4	38.5(-19.3)#187
5.	50013	19.3	38.4(-19.1)#5	38.5(-19.2)#210
6.	50012	19.3	38.4(-19.1)#6	38.5(-19.2)#213
7.	52584	21.5	38.4(-16.9)#7	38.5(-17.0)#568
8.	50032	22.0	38.4(-16.4)#8	38.5(-16.5)#663
9.	51343	22.7	38.4(-15.7)#9	38.5(-15.8)#741
10.	50014	22.9	38.4(-15.5)#10	38.5(-15.6)#764
11.	51430	22.9	38.4(-15.5)#11	38.5(-15.6)#769
12.	51554	23.8	38.4(-14.6)#12	38.5(-14.7)#877
13.	50573	24.0	38.4(-14.4)#13	38.5(-14.5)#900
14.	50460	24.7	38.4(-13.7)#14	38.5(-13.8)#966
15.	50067	24.8	38.4(-13.6)#15	38.5(-13.7)#983
16.	52240	26.7	38.4(-11.7)#16	38.5(-11.8)#1,205
17.	52557	26.9	38.4(-11.5)#17	38.5(-11.6)#1,245
18.	52047	27.0	38.4(-11.4)#18	38.5(-11.5)#1,266
19.	50518	27.4	38.4(-11.0)#19	38.5(-11.1)#1,331
20.	50544	27.6	38.4(-10.8)#20	38.5(-10.9)#1,366
21.	51541	27.8	38.4(-10.6)#21	38.5(-10.7)#1,403
22.	51441	27.8	38.4(-10.6)#22	38.5(-10.7)#1,404
23.	52237	28.0	38.4(-10.4)#23	38.5(-10.5)#1,443
24.	52221	28.0	38.4(-10.4)#24	38.5(-10.5)#1,448
25.	52246	28.1	38.4(-10.3)#25	38.5(-10.4)#1,460
26.	52232	28.1	38.4(-10.3)#26	38.5(-10.4)#1,471
27.	52590	28.7	38.4(-9.70)#27	38.5(-9.80)#1,595
28.	52134	28.7	38.4(-9.70)#28	38.5(-9.80)#1,604
29.	50309	28.8	38.4(-9.60)#29	38.5(-9.70)#1,621
30.	51020	28.8	38.4(-9.60)#30	38.5(-9.70)#1,629
31.	50613	28.9	38.4(-9.50)#31	38.5(-9.60)#1,646
32.	51045	28.9	38.4(-9.50)#32	38.5(-9.60)#1,674
33.	50010	29.1	38.4(-9.30)#33	38.5(-9.40)#1,698
34.	50140	29.3	38.4(-9.10)#34	38.5(-9.20)#1,749
35.	50558	29.5	38.4(-8.90)#35	38.5(-9.00)#1,814
36.	50479	29.5	38.4(-8.90)#36	38.5(-9.00)#1,815
37.	52801	29.6	38.4(-8.80)#37	38.5(-8.90)#1,838
38.	51444	29.6	38.4(-8.80)#38	38.5(-8.90)#1,847
39.	52307	29.8	38.4(-8.60)#39	38.5(-8.70)#1,930
40.	51235	29.9	38.4(-8.50)#40	38.5(-8.60)#1,955
41.	51436	29.9	38.4(-8.50)#41	38.5(-8.60)#1,956
42.	51231	30.2	38.4(-8.20)#42	38.5(-8.30)#2,074
43.	50314	30.3	38.4(-8.10)#43	38.5(-8.20)#2,091
44.	52570	30.3	38.4(-8.10)#44	38.5(-8.20)#2,105
45.	50066	30.3	38.4(-8.10)#45	38.5(-8.20)#2,114
46.	52314	30.4	38.4(-8.00)#46	38.5(-8.10)#2,137
47.	52720	30.4	38.4(-8.00)#47	38.5(-8.10)#2,147
48.	51105	30.5	38.4(-7.90)#48	38.5(-8.00)#2,179
49.	52749	30.6	38.4(-7.80)#49	38.5(-7.90)#2,244
50.	52561	30.7	38.4(-7.70)#50	38.5(-7.80)#2,286
51.	52142	30.9	38.4(-7.50)#51	38.5(-7.60)#2,389
52.	50540	30.9	38.4(-7.50)#52	38.5(-7.60)#2,393
53.	51459	30.9	38.4(-7.50)#53	38.5(-7.60)#2,407
54.	52346	31.0	38.4(-7.40)#54	38.5(-7.50)#2,437
55.	51009	31.0	38.4(-7.40)#55	38.5(-7.50)#2,448
56.	52621	31.1	38.4(-7.30)#56	38.5(-7.40)#2,485
57.	52048	31.1	38.4(-7.30)#57	38.5(-7.40)#2,492
58.	50316	31.2	38.4(-7.20)#58	38.5(-7.30)#2,513
59.	50311	31.2	38.4(-7.20)#59	38.5(-7.30)#2,514
60.	52543	31.2	38.4(-7.20)#60	38.5(-7.30)#2,539
61.	52252	31.3	38.4(-7.10)#61	38.5(-7.20)#2,593
62.	51250	31.4	38.4(-7.00)#62	38.5(-7.10)#2,616
63.	51238	31.4	38.4(-7.00)#63	38.5(-7.10)#2,627
64.	50447	31.4	38.4(-7.00)#64	38.5(-7.10)#2,628
65.	50062	31.5	38.4(-6.90)#65	38.5(-7.00)#2,676
66.	50432	31.5	38.4(-6.90)#66	38.5(-7.00)#2,685
67.	52245	31.7	38.4(-6.70)#67	38.5(-6.80)#2,769
68.	51357	31.7	38.4(-6.70)#68	38.5(-6.80)#2,792
69.	50588	32.0	38.4(-6.40)#69	38.5(-6.50)#2,937
70.	52156	32.1	38.4(-6.30)#70	38.5(-6.40)#3,015
71.	51440	32.1	38.4(-6.30)#71	38.5(-6.40)#3,021
72.	51101	32.2	38.4(-6.20)#72	38.5(-6.30)#3,083
73.	51048	32.2	38.4(-6.20)#73	38.5(-6.30)#3,091
74.	50174	32.3	38.4(-6.10)#74	38.5(-6.20)#3,153
75.	50560	32.3	38.4(-6.10)#75	38.5(-6.20)#3,162
76.	50023	32.4	38.4(-6.00)#76	38.5(-6.10)#3,187
77.	52340	32.4	38.4(-6.00)#77	38.5(-6.10)#3,224
78.	52322	32.4	38.4(-6.00)#78	38.5(-6.10)#3,231
79.	52345	32.4	38.4(-6.00)#79	38.5(-6.10)#3,233
80.	52701	32.5	38.4(-5.90)#80	38.5(-6.00)#3,306
81.	52241	32.6	38.4(-5.80)#81	38.5(-5.90)#3,329
82.	52657	32.7	38.4(-5.70)#82	38.5(-5.80)#3,447
83.	51433	32.8	38.4(-5.60)#83	38.5(-5.70)#3,506
84.	52317	32.9	38.4(-5.50)#84	38.5(-5.60)#3,552
85.	50162	32.9	38.4(-5.50)#85	38.5(-5.60)#3,576
86.	50528	33.0	38.4(-5.40)#86	38.5(-5.50)#3,662
87.	50515	33.1	38.4(-5.30)#87	38.5(-5.40)#3,734
88.	52210	33.2	38.4(-5.20)#88	38.5(-5.30)#3,796
89.	50035	33.3	38.4(-5.10)#89	38.5(-5.20)#3,845
90.	52033	33.3	38.4(-5.10)#90	38.5(-5.20)#3,851
91.	52045	33.3	38.4(-5.10)#91	38.5(-5.20)#3,852
92.	52217	33.3	38.4(-5.10)#92	38.5(-5.20)#3,864
93.	52647	33.4	38.4(-5.00)#93	38.5(-5.10)#3,947
94.	51041	33.6	38.4(-4.80)#94	38.5(-4.90)#4,090
95.	52652	33.7	38.4(-4.70)#95	38.5(-4.80)#4,195
96.	52404	33.9	38.4(-4.50)#96	38.5(-4.60)#4,298
97.	52233	33.9	38.4(-4.50)#97	38.5(-4.60)#4,342
98.	50218	33.9	38.4(-4.50)#98	38.5(-4.60)#4,385
99.	52162	34.0	38.4(-4.40)#99	38.5(-4.50)#4,456
100.	50561	34.0	38.4(-4.40)#100	38.5(-4.50)#4,473