Zip Codes with the Oldest Population in Iowa

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

Top 10 Zip Codes with the Oldest Population in Iowa are: #1 50033 74.5 . #2 51044 72.7 . #3 50608 69.8 . #4 50605 69.6 . #5 50649 69.4 . #6 50110 67.5 . #7 50104 66.8 . #8 52562 66.5 . #9 51432 66.5 . #10 50551 65.9 .

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Oldest Population

Population

Highest Population Highest Population Density Lowest Population Density Male / Female Ratio Female / Male RatioOldest PopulationOldest 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 Oldest Population in Iowa

50.0

80.0

Zip Codes with the Oldest Population in Iowa

	Zip Code	Median Age	vs State	vs National
1.	50033	74.5	38.4(+36.1)#1	38.5(+36.0)#123
2.	51044	72.7	38.4(+34.3)#2	38.5(+34.2)#169
3.	50608	69.8	38.4(+31.4)#3	38.5(+31.3)#312
4.	50605	69.6	38.4(+31.2)#4	38.5(+31.1)#325
5.	50649	69.4	38.4(+31.0)#5	38.5(+30.9)#339
6.	50110	67.5	38.4(+29.1)#6	38.5(+29.0)#487
7.	50104	66.8	38.4(+28.4)#7	38.5(+28.3)#552
8.	52562	66.5	38.4(+28.1)#8	38.5(+28.0)#577
9.	51432	66.5	38.4(+28.1)#9	38.5(+28.0)#580
10.	50551	65.9	38.4(+27.5)#10	38.5(+27.4)#648
11.	50559	65.5	38.4(+27.1)#11	38.5(+27.0)#691
12.	50223	64.8	38.4(+26.4)#12	38.5(+26.3)#795
13.	50556	64.5	38.4(+26.1)#13	38.5(+26.0)#842
14.	52225	64.3	38.4(+25.9)#14	38.5(+25.8)#868
15.	52588	63.6	38.4(+25.2)#15	38.5(+25.1)#974
16.	50074	63.5	38.4(+25.1)#16	38.5(+25.0)#996
17.	51355	63.1	38.4(+24.7)#17	38.5(+24.6)#1,072
18.	50064	63.1	38.4(+24.7)#18	38.5(+24.6)#1,082
19.	50839	62.8	38.4(+24.4)#19	38.5(+24.3)#1,138
20.	52071	62.7	38.4(+24.3)#20	38.5(+24.2)#1,158
21.	50842	62.5	38.4(+24.1)#21	38.5(+24.0)#1,207
22.	51341	62.5	38.4(+24.1)#22	38.5(+24.0)#1,210
23.	51540	62.4	38.4(+24.0)#23	38.5(+23.9)#1,225
24.	52072	62.2	38.4(+23.8)#24	38.5(+23.7)#1,283
25.	50274	62.0	38.4(+23.6)#25	38.5(+23.5)#1,350
26.	51331	61.6	38.4(+23.2)#26	38.5(+23.1)#1,430
27.	52569	61.6	38.4(+23.2)#27	38.5(+23.1)#1,433
28.	50527	61.4	38.4(+23.0)#28	38.5(+22.9)#1,490
29.	51460	61.4	38.4(+23.0)#29	38.5(+22.9)#1,495
30.	51062	61.2	38.4(+22.8)#30	38.5(+22.7)#1,521
31.	50052	61.2	38.4(+22.8)#31	38.5(+22.7)#1,528
32.	52207	61.0	38.4(+22.6)#32	38.5(+22.5)#1,569
33.	50860	61.0	38.4(+22.6)#33	38.5(+22.5)#1,572
34.	51520	60.5	38.4(+22.1)#34	38.5(+22.0)#1,711
35.	50593	60.3	38.4(+21.9)#35	38.5(+21.8)#1,795
36.	50571	60.1	38.4(+21.7)#36	38.5(+21.6)#1,851
37.	51010	60.0	38.4(+21.6)#37	38.5(+21.5)#1,879
38.	51447	60.0	38.4(+21.6)#38	38.5(+21.5)#1,887
39.	50255	60.0	38.4(+21.6)#39	38.5(+21.5)#1,890
40.	51577	59.9	38.4(+21.5)#40	38.5(+21.4)#1,897
41.	52536	59.9	38.4(+21.5)#41	38.5(+21.4)#1,900
42.	52567	59.8	38.4(+21.4)#42	38.5(+21.3)#1,933
43.	50857	59.6	38.4(+21.2)#43	38.5(+21.1)#1,994
44.	50623	59.6	38.4(+21.2)#44	38.5(+21.1)#1,996
45.	50531	59.4	38.4(+21.0)#45	38.5(+20.9)#2,068
46.	51451	59.3	38.4(+20.9)#46	38.5(+20.8)#2,109
47.	52170	59.1	38.4(+20.7)#47	38.5(+20.6)#2,165
48.	51527	59.1	38.4(+20.7)#48	38.5(+20.6)#2,168
49.	50567	59.0	38.4(+20.6)#49	38.5(+20.5)#2,198
50.	52146	58.9	38.4(+20.5)#50	38.5(+20.4)#2,212
51.	50831	58.8	38.4(+20.4)#51	38.5(+20.3)#2,263
52.	50448	58.7	38.4(+20.3)#52	38.5(+20.2)#2,278
53.	51061	58.5	38.4(+20.1)#53	38.5(+20.0)#2,337
54.	52354	58.4	38.4(+20.0)#54	38.5(+19.9)#2,377
55.	52309	58.3	38.4(+19.9)#55	38.5(+19.8)#2,398
56.	50545	58.2	38.4(+19.8)#56	38.5(+19.7)#2,436
57.	51463	58.1	38.4(+19.7)#57	38.5(+19.6)#2,468
58.	52313	58.1	38.4(+19.7)#58	38.5(+19.6)#2,469
59.	51578	58.1	38.4(+19.7)#59	38.5(+19.6)#2,480
60.	50454	58.1	38.4(+19.7)#60	38.5(+19.6)#2,484
61.	52308	57.7	38.4(+19.3)#61	38.5(+19.2)#2,606
62.	50434	57.3	38.4(+18.9)#62	38.5(+18.8)#2,743
63.	52133	57.0	38.4(+18.6)#63	38.5(+18.5)#2,867
64.	50051	57.0	38.4(+18.6)#64	38.5(+18.5)#2,879
65.	50576	57.0	38.4(+18.6)#65	38.5(+18.5)#2,881
66.	50252	56.9	38.4(+18.5)#66	38.5(+18.4)#2,913
67.	50654	56.7	38.4(+18.3)#67	38.5(+18.2)#2,983
68.	50569	56.5	38.4(+18.1)#68	38.5(+18.0)#3,047
69.	50078	56.5	38.4(+18.1)#69	38.5(+18.0)#3,064
70.	51439	56.4	38.4(+18.0)#70	38.5(+17.9)#3,084
71.	51630	56.4	38.4(+18.0)#71	38.5(+17.9)#3,099
72.	52039	56.2	38.4(+17.8)#72	38.5(+17.7)#3,169
73.	50664	56.2	38.4(+17.8)#73	38.5(+17.7)#3,185
74.	50073	56.1	38.4(+17.7)#74	38.5(+17.6)#3,205
75.	51366	56.1	38.4(+17.7)#75	38.5(+17.6)#3,221
76.	50575	56.0	38.4(+17.6)#76	38.5(+17.5)#3,264
77.	52586	56.0	38.4(+17.6)#77	38.5(+17.5)#3,266
78.	50020	55.9	38.4(+17.5)#78	38.5(+17.4)#3,294
79.	51345	55.9	38.4(+17.5)#79	38.5(+17.4)#3,305
80.	50478	55.7	38.4(+17.3)#80	38.5(+17.2)#3,373
81.	52223	55.6	38.4(+17.2)#81	38.5(+17.1)#3,401
82.	52658	55.6	38.4(+17.2)#82	38.5(+17.1)#3,406
83.	52325	55.6	38.4(+17.2)#83	38.5(+17.1)#3,416
84.	51037	55.6	38.4(+17.2)#84	38.5(+17.1)#3,423
85.	51029	55.6	38.4(+17.2)#85	38.5(+17.1)#3,425
86.	52312	55.6	38.4(+17.2)#86	38.5(+17.1)#3,435
87.	52157	55.5	38.4(+17.1)#87	38.5(+17.0)#3,445
88.	52158	55.5	38.4(+17.1)#88	38.5(+17.0)#3,461
89.	50145	55.5	38.4(+17.1)#89	38.5(+17.0)#3,468
90.	52169	55.4	38.4(+17.0)#90	38.5(+16.9)#3,504
91.	52765	55.4	38.4(+17.0)#91	38.5(+16.9)#3,505
92.	52052	55.3	38.4(+16.9)#92	38.5(+16.8)#3,528
93.	52554	55.3	38.4(+16.9)#93	38.5(+16.8)#3,538
94.	52036	55.3	38.4(+16.9)#94	38.5(+16.8)#3,562
95.	50514	55.1	38.4(+16.7)#95	38.5(+16.6)#3,624
96.	50128	55.1	38.4(+16.7)#96	38.5(+16.6)#3,635
97.	50863	55.0	38.4(+16.6)#97	38.5(+16.5)#3,701
98.	51542	54.9	38.4(+16.5)#98	38.5(+16.4)#3,728
99.	52329	54.9	38.4(+16.5)#99	38.5(+16.4)#3,733
100.	52619	54.9	38.4(+16.5)#100	38.5(+16.4)#3,741