Zip Codes with the Largest Family Size in Utah

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

Top 10 Zip Codes with the Largest Family Size in Utah are: #1 84623 8.17 . #2 84710 6.55 . #3 84531 5.94 . #4 84784 5.92 . #5 84740 5.45 . #6 84064 5.42 . #7 84536 5.20 . #8 84529 5.00 . #9 84026 4.98 . #10 84637 4.91 .

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

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

Utah

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Largest Family Size in Utah

3.00

10.00

Zip Codes with the Largest Family Size in Utah

	Zip Code	People / Family	vs State	vs National
1.	84623	8.17	3.53(+4.64)#1	3.18(+4.99)#26
2.	84710	6.55	3.53(+3.02)#2	3.18(+3.37)#67
3.	84531	5.94	3.53(+2.41)#3	3.18(+2.76)#108
4.	84784	5.92	3.53(+2.39)#4	3.18(+2.74)#110
5.	84740	5.45	3.53(+1.92)#5	3.18(+2.27)#192
6.	84064	5.42	3.53(+1.89)#6	3.18(+2.24)#199
7.	84536	5.20	3.53(+1.67)#7	3.18(+2.02)#255
8.	84529	5.00	3.53(+1.47)#8	3.18(+1.82)#318
9.	84026	4.98	3.53(+1.45)#9	3.18(+1.80)#330
10.	84637	4.91	3.53(+1.38)#10	3.18(+1.73)#356
11.	84626	4.83	3.53(+1.30)#11	3.18(+1.65)#399
12.	84512	4.81	3.53(+1.28)#12	3.18(+1.63)#413
13.	84743	4.79	3.53(+1.26)#13	3.18(+1.61)#420
14.	84630	4.74	3.53(+1.21)#14	3.18(+1.56)#443
15.	84309	4.66	3.53(+1.13)#15	3.18(+1.48)#505
16.	84001	4.66	3.53(+1.13)#16	3.18(+1.48)#506
17.	84756	4.66	3.53(+1.13)#17	3.18(+1.48)#507
18.	84645	4.48	3.53(+0.950)#18	3.18(+1.30)#633
19.	84324	4.43	3.53(+0.900)#19	3.18(+1.25)#684
20.	84522	4.42	3.53(+0.890)#20	3.18(+1.24)#697
21.	84018	4.41	3.53(+0.880)#21	3.18(+1.23)#710
22.	84045	4.38	3.53(+0.850)#22	3.18(+1.20)#740
23.	84076	4.38	3.53(+0.850)#23	3.18(+1.20)#748
24.	84336	4.38	3.53(+0.850)#24	3.18(+1.20)#749
25.	84005	4.36	3.53(+0.830)#25	3.18(+1.18)#763
26.	84534	4.31	3.53(+0.780)#26	3.18(+1.13)#819
27.	84327	4.31	3.53(+0.780)#27	3.18(+1.13)#825
28.	84739	4.29	3.53(+0.760)#28	3.18(+1.11)#854
29.	84329	4.29	3.53(+0.760)#29	3.18(+1.11)#858
30.	84033	4.26	3.53(+0.730)#30	3.18(+1.08)#906
31.	84024	4.17	3.53(+0.640)#31	3.18(+0.990)#1,070
32.	84655	4.11	3.53(+0.580)#32	3.18(+0.930)#1,176
33.	84023	4.11	3.53(+0.580)#33	3.18(+0.930)#1,196
34.	84750	4.08	3.53(+0.550)#34	3.18(+0.900)#1,254
35.	84723	4.08	3.53(+0.550)#35	3.18(+0.900)#1,258
36.	84311	4.05	3.53(+0.520)#36	3.18(+0.870)#1,318
37.	84653	4.03	3.53(+0.500)#37	3.18(+0.850)#1,374
38.	84120	4.01	3.53(+0.480)#38	3.18(+0.830)#1,408
39.	84025	3.99	3.53(+0.460)#39	3.18(+0.810)#1,503
40.	84043	3.98	3.53(+0.450)#40	3.18(+0.800)#1,522
41.	84318	3.96	3.53(+0.430)#41	3.18(+0.780)#1,592
42.	84751	3.96	3.53(+0.430)#42	3.18(+0.780)#1,596
43.	84071	3.96	3.53(+0.430)#43	3.18(+0.780)#1,598
44.	84774	3.96	3.53(+0.430)#44	3.18(+0.780)#1,599
45.	84128	3.95	3.53(+0.420)#45	3.18(+0.770)#1,628
46.	84315	3.95	3.53(+0.420)#46	3.18(+0.770)#1,632
47.	84075	3.94	3.53(+0.410)#47	3.18(+0.760)#1,663
48.	84335	3.94	3.53(+0.410)#48	3.18(+0.760)#1,665
49.	84042	3.92	3.53(+0.390)#49	3.18(+0.740)#1,730
50.	84028	3.92	3.53(+0.390)#50	3.18(+0.740)#1,748
51.	84004	3.91	3.53(+0.380)#51	3.18(+0.730)#1,773
52.	84660	3.90	3.53(+0.370)#52	3.18(+0.720)#1,797
53.	84663	3.89	3.53(+0.360)#53	3.18(+0.710)#1,841
54.	84029	3.89	3.53(+0.360)#54	3.18(+0.710)#1,847
55.	84631	3.89	3.53(+0.360)#55	3.18(+0.710)#1,857
56.	84664	3.87	3.53(+0.340)#56	3.18(+0.690)#1,923
57.	84013	3.87	3.53(+0.340)#57	3.18(+0.690)#1,936
58.	84657	3.87	3.53(+0.340)#58	3.18(+0.690)#1,937
59.	84027	3.87	3.53(+0.340)#59	3.18(+0.690)#1,939
60.	84634	3.86	3.53(+0.330)#60	3.18(+0.680)#1,968
61.	84314	3.86	3.53(+0.330)#61	3.18(+0.680)#1,973
62.	84085	3.86	3.53(+0.330)#62	3.18(+0.680)#1,985
63.	84640	3.86	3.53(+0.330)#63	3.18(+0.680)#1,986
64.	84062	3.84	3.53(+0.310)#64	3.18(+0.660)#2,044
65.	84312	3.84	3.53(+0.310)#65	3.18(+0.660)#2,059
66.	84055	3.84	3.53(+0.310)#66	3.18(+0.660)#2,070
67.	84622	3.84	3.53(+0.310)#67	3.18(+0.660)#2,071
68.	84003	3.83	3.53(+0.300)#68	3.18(+0.650)#2,100
69.	84017	3.83	3.53(+0.300)#69	3.18(+0.650)#2,111
70.	84651	3.82	3.53(+0.290)#70	3.18(+0.640)#2,151
71.	84118	3.81	3.53(+0.280)#71	3.18(+0.630)#2,200
72.	84721	3.81	3.53(+0.280)#72	3.18(+0.630)#2,207
73.	84339	3.81	3.53(+0.280)#73	3.18(+0.630)#2,214
74.	84096	3.80	3.53(+0.270)#74	3.18(+0.620)#2,241
75.	84050	3.78	3.53(+0.250)#75	3.18(+0.600)#2,357
76.	84037	3.77	3.53(+0.240)#76	3.18(+0.590)#2,391
77.	84081	3.76	3.53(+0.230)#77	3.18(+0.580)#2,424
78.	84119	3.76	3.53(+0.230)#78	3.18(+0.580)#2,425
79.	84009	3.76	3.53(+0.230)#79	3.18(+0.580)#2,428
80.	84116	3.76	3.53(+0.230)#80	3.18(+0.580)#2,429
81.	84319	3.76	3.53(+0.230)#81	3.18(+0.580)#2,439
82.	84761	3.75	3.53(+0.220)#82	3.18(+0.570)#2,489
83.	84087	3.73	3.53(+0.200)#83	3.18(+0.550)#2,578
84.	84325	3.72	3.53(+0.190)#84	3.18(+0.540)#2,667
85.	84736	3.72	3.53(+0.190)#85	3.18(+0.540)#2,690
86.	84015	3.70	3.53(+0.170)#86	3.18(+0.520)#2,763
87.	84078	3.70	3.53(+0.170)#87	3.18(+0.520)#2,774
88.	84052	3.70	3.53(+0.170)#88	3.18(+0.520)#2,802
89.	84032	3.69	3.53(+0.160)#89	3.18(+0.510)#2,835
90.	84097	3.69	3.53(+0.160)#90	3.18(+0.510)#2,837
91.	84511	3.69	3.53(+0.160)#91	3.18(+0.510)#2,851
92.	84074	3.68	3.53(+0.150)#92	3.18(+0.500)#2,885
93.	84065	3.68	3.53(+0.150)#93	3.18(+0.500)#2,888
94.	84036	3.67	3.53(+0.140)#94	3.18(+0.490)#2,980
95.	84338	3.67	3.53(+0.140)#95	3.18(+0.490)#3,009
96.	84729	3.67	3.53(+0.140)#96	3.18(+0.490)#3,011
97.	84044	3.66	3.53(+0.130)#97	3.18(+0.480)#3,039
98.	84051	3.66	3.53(+0.130)#98	3.18(+0.480)#3,086
99.	84104	3.65	3.53(+0.120)#99	3.18(+0.470)#3,113
100.	84752	3.65	3.53(+0.120)#100	3.18(+0.470)#3,149