Zip Codes with the Youngest Population in Utah

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

Top 10 Zip Codes with the Youngest Population in Utah are: #1 84018 11.2 . #2 84623 12.3 . #3 84334 16.7 . #4 84085 17.1 . #5 84304 18.5 . #6 84744 18.8 . #7 84602 19.4 . #8 84408 19.4 . #9 84336 19.8 . #10 84113 19.9 .

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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

Utah

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Map of Zip Codes with the Youngest Population in Utah

40.0

10.0

Zip Codes with the Youngest Population in Utah

	Zip Code	Median Age	vs State	vs National
1.	84018	11.2	31.4 (-20.2)#1	38.5 (-27.3)#29
2.	84623	12.3	31.4 (-19.1)#2	38.5 (-26.2)#46
3.	84334	16.7	31.4 (-14.7)#3	38.5 (-21.8)#95
4.	84085	17.1	31.4 (-14.3)#4	38.5 (-21.4)#101
5.	84304	18.5	31.4 (-12.9)#5	38.5 (-20.0)#134
6.	84744	18.8	31.4 (-12.6)#6	38.5 (-19.7)#144
7.	84602	19.4	31.4 (-12.0)#7	38.5 (-19.1)#235
8.	84408	19.4	31.4 (-12.0)#8	38.5 (-19.1)#245
9.	84336	19.8	31.4 (-11.6)#9	38.5 (-18.7)#336
10.	84113	19.9	31.4 (-11.5)#10	38.5 (-18.6)#359
11.	84630	20.0	31.4 (-11.4)#11	38.5 (-18.5)#373
12.	84112	20.9	31.4 (-10.5)#12	38.5 (-17.6)#493
13.	84005	21.9	31.4 (-9.50)#13	38.5 (-16.6)#632
14.	84627	22.0	31.4 (-9.40)#14	38.5 (-16.5)#655
15.	84056	22.1	31.4 (-9.30)#15	38.5 (-16.4)#675
16.	84645	22.2	31.4 (-9.20)#16	38.5 (-16.3)#687
17.	84045	22.4	31.4 (-9.00)#17	38.5 (-16.1)#706
18.	84606	23.1	31.4 (-8.30)#18	38.5 (-15.4)#784
19.	84604	23.4	31.4 (-8.00)#19	38.5 (-15.1)#816
20.	84321	23.8	31.4 (-7.60)#20	38.5 (-14.7)#865
21.	84626	24.0	31.4 (-7.40)#21	38.5 (-14.5)#896
22.	84058	24.9	31.4 (-6.50)#22	38.5 (-13.6)#989
23.	84059	24.9	31.4 (-6.50)#23	38.5 (-13.6)#991
24.	84751	24.9	31.4 (-6.50)#24	38.5 (-13.6)#992
25.	84341	25.3	31.4 (-6.10)#25	38.5 (-13.2)#1,027
26.	84601	25.4	31.4 (-6.00)#26	38.5 (-13.1)#1,034
27.	84637	25.5	31.4 (-5.90)#27	38.5 (-13.0)#1,051
28.	84784	26.1	31.4 (-5.30)#28	38.5 (-12.4)#1,119
29.	84327	26.2	31.4 (-5.20)#29	38.5 (-12.3)#1,137
30.	84655	26.3	31.4 (-5.10)#30	38.5 (-12.2)#1,143
31.	84007	26.3	31.4 (-5.10)#31	38.5 (-12.2)#1,153
32.	84657	26.5	31.4 (-4.90)#32	38.5 (-12.0)#1,181
33.	84729	26.5	31.4 (-4.90)#33	38.5 (-12.0)#1,182
34.	84043	26.6	31.4 (-4.80)#34	38.5 (-11.9)#1,191
35.	84051	26.7	31.4 (-4.70)#35	38.5 (-11.8)#1,216
36.	84663	27.0	31.4 (-4.40)#36	38.5 (-11.5)#1,258
37.	84003	27.3	31.4 (-4.10)#37	38.5 (-11.2)#1,301
38.	84062	27.3	31.4 (-4.10)#38	38.5 (-11.2)#1,302
39.	84001	27.3	31.4 (-4.10)#39	38.5 (-11.2)#1,310
40.	84660	27.7	31.4 (-3.70)#40	38.5 (-10.8)#1,374
41.	84335	27.7	31.4 (-3.70)#41	38.5 (-10.8)#1,380
42.	84531	27.9	31.4 (-3.50)#42	38.5 (-10.6)#1,416
43.	84057	28.0	31.4 (-3.40)#43	38.5 (-10.5)#1,431
44.	84720	28.1	31.4 (-3.30)#44	38.5 (-10.4)#1,459
45.	84064	28.1	31.4 (-3.30)#45	38.5 (-10.4)#1,468
46.	84640	28.1	31.4 (-3.30)#46	38.5 (-10.4)#1,474
47.	84075	28.4	31.4 (-3.00)#47	38.5 (-10.1)#1,514
48.	84721	28.4	31.4 (-3.00)#48	38.5 (-10.1)#1,515
49.	84651	28.6	31.4 (-2.80)#49	38.5 (-9.90)#1,560
50.	84653	28.7	31.4 (-2.70)#50	38.5 (-9.80)#1,587
51.	84318	28.7	31.4 (-2.70)#51	38.5 (-9.80)#1,591
52.	84083	28.7	31.4 (-2.70)#52	38.5 (-9.80)#1,596
53.	84102	28.8	31.4 (-2.60)#53	38.5 (-9.70)#1,617
54.	84319	28.8	31.4 (-2.60)#54	38.5 (-9.70)#1,620
55.	84314	28.8	31.4 (-2.60)#55	38.5 (-9.70)#1,625
56.	84096	28.9	31.4 (-2.50)#56	38.5 (-9.60)#1,643
57.	84734	29.1	31.4 (-2.30)#57	38.5 (-9.40)#1,718
58.	84119	29.2	31.4 (-2.20)#58	38.5 (-9.30)#1,719
59.	84635	29.2	31.4 (-2.20)#59	38.5 (-9.30)#1,735
60.	84534	29.5	31.4 (-1.90)#60	38.5 (-9.00)#1,804
61.	84097	29.6	31.4 (-1.80)#61	38.5 (-8.90)#1,830
62.	84324	29.7	31.4 (-1.70)#62	38.5 (-8.80)#1,879
63.	84312	29.8	31.4 (-1.60)#63	38.5 (-8.70)#1,913
64.	84339	30.0	31.4 (-1.40)#64	38.5 (-8.50)#1,987
65.	84081	30.1	31.4 (-1.30)#65	38.5 (-8.40)#2,011
66.	84025	30.1	31.4 (-1.30)#66	38.5 (-8.40)#2,019
67.	84042	30.1	31.4 (-1.30)#67	38.5 (-8.40)#2,024
68.	84026	30.1	31.4 (-1.30)#68	38.5 (-8.40)#2,036
69.	84041	30.3	31.4 (-1.10)#69	38.5 (-8.20)#2,083
70.	84633	30.3	31.4 (-1.10)#70	38.5 (-8.20)#2,106
71.	84529	30.3	31.4 (-1.10)#71	38.5 (-8.20)#2,117
72.	84128	30.6	31.4 (-0.800)#72	38.5 (-7.90)#2,222
73.	84120	30.7	31.4 (-0.700)#73	38.5 (-7.80)#2,257
74.	84736	30.8	31.4 (-0.600)#74	38.5 (-7.70)#2,350
75.	84118	30.9	31.4 (-0.500)#75	38.5 (-7.60)#2,361
76.	84647	31.0	31.4 (-0.400)#76	38.5 (-7.50)#2,430
77.	84116	31.1	31.4 (-0.300)#77	38.5 (-7.40)#2,456
78.	84745	31.1	31.4 (-0.300)#78	38.5 (-7.40)#2,473
79.	84320	31.1	31.4 (-0.300)#79	38.5 (-7.40)#2,475
80.	84664	31.2	31.4 (-0.200)#80	38.5 (-7.30)#2,516
81.	84337	31.3	31.4 (-0.100)#81	38.5 (-7.20)#2,568
82.	84029	31.3	31.4 (-0.100)#82	38.5 (-7.20)#2,570
83.	84015	31.4	31.4 (=0.000)#83	38.5 (-7.10)#2,595
84.	84401	31.5	31.4 (+0.100)#84	38.5 (-7.00)#2,647
85.	84074	31.6	31.4 (+0.200)#85	38.5 (-6.90)#2,699
86.	84078	31.6	31.4 (+0.200)#86	38.5 (-6.90)#2,706
87.	84511	31.6	31.4 (+0.200)#87	38.5 (-6.90)#2,724
88.	84013	31.7	31.4 (+0.300)#88	38.5 (-6.80)#2,794
89.	84006	31.8	31.4 (+0.400)#89	38.5 (-6.70)#2,839
90.	84414	31.9	31.4 (+0.500)#90	38.5 (-6.60)#2,871
91.	84010	32.0	31.4 (+0.600)#91	38.5 (-6.50)#2,923
92.	84009	32.0	31.4 (+0.600)#92	38.5 (-6.50)#2,925
93.	84070	32.0	31.4 (+0.600)#93	38.5 (-6.50)#2,928
94.	84518	32.0	31.4 (+0.600)#94	38.5 (-6.50)#2,952
95.	84066	32.1	31.4 (+0.700)#95	38.5 (-6.40)#2,992
96.	84648	32.2	31.4 (+0.800)#96	38.5 (-6.30)#3,073
97.	84050	32.3	31.4 (+0.900)#97	38.5 (-6.20)#3,136
98.	84104	32.4	31.4 (+1.000)#98	38.5 (-6.10)#3,205
99.	84111	32.4	31.4 (+1.000)#99	38.5 (-6.10)#3,216
100.	84535	32.5	31.4 (+1.10)#100	38.5 (-6.00)#3,286