Zip Codes with the Largest Family Size in Iowa

Q: What are the Top 10 Zip Codes with the Largest Family Size in Iowa?

Top 10 Zip Codes with the Largest Family Size in Iowa are: #1 50573 4.91 . #2 50031 4.91 . #3 50460 4.80 . #4 51541 4.71 . #5 51343 4.68 . #6 52210 4.39 . #7 50227 4.38 . #8 51341 4.33 . #9 52584 4.29 . #10 50433 4.03 .

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Largest Family Size

Population

Highest Population Highest 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 SizeLargest 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 Largest Family Size in Iowa

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Zip Codes with the Largest Family Size in Iowa

	Zip Code	People / Family	vs State	vs National
1.	50573	4.91	3.00(+1.91)#1	3.18(+1.73)#362
2.	50031	4.91	3.00(+1.91)#2	3.18(+1.73)#363
3.	50460	4.80	3.00(+1.80)#3	3.18(+1.62)#417
4.	51541	4.71	3.00(+1.71)#4	3.18(+1.53)#467
5.	51343	4.68	3.00(+1.68)#5	3.18(+1.50)#489
6.	52210	4.39	3.00(+1.39)#6	3.18(+1.21)#731
7.	50227	4.38	3.00(+1.38)#7	3.18(+1.20)#754
8.	51341	4.33	3.00(+1.33)#8	3.18(+1.15)#803
9.	52584	4.29	3.00(+1.29)#9	3.18(+1.11)#852
10.	50433	4.03	3.00(+1.03)#10	3.18(+0.850)#1,385
11.	52590	3.97	3.00(+0.970)#11	3.18(+0.790)#1,559
12.	52323	3.95	3.00(+0.950)#12	3.18(+0.770)#1,641
13.	50254	3.94	3.00(+0.940)#13	3.18(+0.760)#1,684
14.	52570	3.89	3.00(+0.890)#14	3.18(+0.710)#1,866
15.	52252	3.88	3.00(+0.880)#15	3.18(+0.700)#1,913
16.	52652	3.86	3.00(+0.860)#16	3.18(+0.680)#1,991
17.	51571	3.84	3.00(+0.840)#17	3.18(+0.660)#2,083
18.	51231	3.84	3.00(+0.840)#18	3.18(+0.660)#2,086
19.	50038	3.84	3.00(+0.840)#19	3.18(+0.660)#2,090
20.	52552	3.83	3.00(+0.830)#20	3.18(+0.650)#2,120
21.	52594	3.83	3.00(+0.830)#21	3.18(+0.650)#2,125
22.	51235	3.79	3.00(+0.790)#22	3.18(+0.610)#2,316
23.	52232	3.79	3.00(+0.790)#23	3.18(+0.610)#2,331
24.	52555	3.74	3.00(+0.740)#24	3.18(+0.560)#2,557
25.	52322	3.71	3.00(+0.710)#25	3.18(+0.530)#2,726
26.	52047	3.71	3.00(+0.710)#26	3.18(+0.530)#2,741
27.	50001	3.71	3.00(+0.710)#27	3.18(+0.530)#2,743
28.	51441	3.70	3.00(+0.700)#28	3.18(+0.520)#2,814
29.	50588	3.69	3.00(+0.690)#29	3.18(+0.510)#2,845
30.	51105	3.69	3.00(+0.690)#30	3.18(+0.510)#2,846
31.	50314	3.69	3.00(+0.690)#31	3.18(+0.510)#2,847
32.	52549	3.69	3.00(+0.690)#32	3.18(+0.510)#2,870
33.	52335	3.68	3.00(+0.680)#33	3.18(+0.500)#2,941
34.	52550	3.67	3.00(+0.670)#34	3.18(+0.490)#3,006
35.	50102	3.65	3.00(+0.650)#35	3.18(+0.470)#3,166
36.	50272	3.63	3.00(+0.630)#36	3.18(+0.450)#3,327
37.	50477	3.62	3.00(+0.620)#37	3.18(+0.440)#3,409
38.	50316	3.60	3.00(+0.600)#38	3.18(+0.420)#3,510
39.	52563	3.59	3.00(+0.590)#39	3.18(+0.410)#3,620
40.	50592	3.59	3.00(+0.590)#40	3.18(+0.410)#3,645
41.	50150	3.58	3.00(+0.580)#41	3.18(+0.400)#3,716
42.	51444	3.58	3.00(+0.580)#42	3.18(+0.400)#3,729
43.	51430	3.57	3.00(+0.570)#43	3.18(+0.390)#3,800
44.	50528	3.57	3.00(+0.570)#44	3.18(+0.390)#3,823
45.	52348	3.57	3.00(+0.570)#45	3.18(+0.390)#3,833
46.	50558	3.55	3.00(+0.550)#46	3.18(+0.370)#4,019
47.	50597	3.54	3.00(+0.540)#47	3.18(+0.360)#4,101
48.	51465	3.53	3.00(+0.530)#48	3.18(+0.350)#4,206
49.	51020	3.53	3.00(+0.530)#49	3.18(+0.350)#4,211
50.	50174	3.52	3.00(+0.520)#50	3.18(+0.340)#4,328
51.	51545	3.52	3.00(+0.520)#51	3.18(+0.340)#4,353
52.	51009	3.51	3.00(+0.510)#52	3.18(+0.330)#4,483
53.	50137	3.50	3.00(+0.500)#53	3.18(+0.320)#4,621
54.	51656	3.50	3.00(+0.500)#54	3.18(+0.320)#4,625
55.	51246	3.49	3.00(+0.490)#55	3.18(+0.310)#4,698
56.	51027	3.49	3.00(+0.490)#56	3.18(+0.310)#4,720
57.	51238	3.49	3.00(+0.490)#57	3.18(+0.310)#4,721
58.	52231	3.49	3.00(+0.490)#58	3.18(+0.310)#4,742
59.	52543	3.49	3.00(+0.490)#59	3.18(+0.310)#4,744
60.	50135	3.47	3.00(+0.470)#60	3.18(+0.290)#4,974
61.	51646	3.47	3.00(+0.470)#61	3.18(+0.290)#5,000
62.	51554	3.47	3.00(+0.470)#62	3.18(+0.290)#5,025
63.	51454	3.46	3.00(+0.460)#63	3.18(+0.280)#5,130
64.	52072	3.46	3.00(+0.460)#64	3.18(+0.280)#5,149
65.	51243	3.46	3.00(+0.460)#65	3.18(+0.280)#5,151
66.	50277	3.46	3.00(+0.460)#66	3.18(+0.280)#5,159
67.	50034	3.46	3.00(+0.460)#67	3.18(+0.280)#5,160
68.	52651	3.45	3.00(+0.450)#68	3.18(+0.270)#5,280
69.	52156	3.44	3.00(+0.440)#69	3.18(+0.260)#5,429
70.	52774	3.44	3.00(+0.440)#70	3.18(+0.260)#5,451
71.	51108	3.43	3.00(+0.430)#71	3.18(+0.250)#5,539
72.	51247	3.43	3.00(+0.430)#72	3.18(+0.250)#5,542
73.	52345	3.43	3.00(+0.430)#73	3.18(+0.250)#5,575
74.	50540	3.43	3.00(+0.430)#74	3.18(+0.250)#5,586
75.	50268	3.43	3.00(+0.430)#75	3.18(+0.250)#5,590
76.	50111	3.42	3.00(+0.420)#76	3.18(+0.240)#5,672
77.	52042	3.42	3.00(+0.420)#77	3.18(+0.240)#5,739
78.	51551	3.42	3.00(+0.420)#78	3.18(+0.240)#5,740
79.	50568	3.42	3.00(+0.420)#79	3.18(+0.240)#5,741
80.	51016	3.42	3.00(+0.420)#80	3.18(+0.240)#5,746
81.	51553	3.42	3.00(+0.420)#81	3.18(+0.240)#5,747
82.	50585	3.41	3.00(+0.410)#82	3.18(+0.230)#5,921
83.	51350	3.41	3.00(+0.410)#83	3.18(+0.230)#5,938
84.	51543	3.41	3.00(+0.410)#84	3.18(+0.230)#5,941
85.	52053	3.40	3.00(+0.400)#85	3.18(+0.220)#6,079
86.	52620	3.40	3.00(+0.400)#86	3.18(+0.220)#6,094
87.	52315	3.39	3.00(+0.390)#87	3.18(+0.210)#6,246
88.	51649	3.38	3.00(+0.380)#88	3.18(+0.200)#6,457
89.	50863	3.38	3.00(+0.380)#89	3.18(+0.200)#6,474
90.	51023	3.37	3.00(+0.370)#90	3.18(+0.190)#6,593
91.	52206	3.37	3.00(+0.370)#91	3.18(+0.190)#6,605
92.	50629	3.37	3.00(+0.370)#92	3.18(+0.190)#6,609
93.	51559	3.37	3.00(+0.370)#93	3.18(+0.190)#6,613
94.	52776	3.36	3.00(+0.360)#94	3.18(+0.180)#6,791
95.	52041	3.36	3.00(+0.360)#95	3.18(+0.180)#6,834
96.	52237	3.36	3.00(+0.360)#96	3.18(+0.180)#6,841
97.	50320	3.35	3.00(+0.350)#97	3.18(+0.170)#6,968
98.	50149	3.35	3.00(+0.350)#98	3.18(+0.170)#7,095
99.	50067	3.35	3.00(+0.350)#99	3.18(+0.170)#7,121
100.	52566	3.35	3.00(+0.350)#100	3.18(+0.170)#7,122