Zip Codes with the Oldest Population in Idaho

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

Top 10 Zip Codes with the Oldest Population in Idaho are: #1 83433 72.8 . #2 83463 71.4 . #3 83554 71.0 . #4 83830 71.0 . #5 83812 70.0 . #6 83874 69.8 . #7 83429 69.7 . #8 83542 68.2 . #9 83278 67.5 . #10 83446 67.4 .

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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

Idaho

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Map of Zip Codes with the Oldest Population in Idaho

40.0

80.0

Zip Codes with the Oldest Population in Idaho

	Zip Code	Median Age	vs State	vs National
1.	83433	72.8	36.9 (+35.9)#1	38.5 (+34.3)#168
2.	83463	71.4	36.9 (+34.5)#2	38.5 (+32.9)#217
3.	83554	71.0	36.9 (+34.1)#3	38.5 (+32.5)#238
4.	83830	71.0	36.9 (+34.1)#4	38.5 (+32.5)#239
5.	83812	70.0	36.9 (+33.1)#5	38.5 (+31.5)#297
6.	83874	69.8	36.9 (+32.9)#6	38.5 (+31.3)#309
7.	83429	69.7	36.9 (+32.8)#7	38.5 (+31.2)#315
8.	83542	68.2	36.9 (+31.3)#8	38.5 (+29.7)#434
9.	83278	67.5	36.9 (+30.6)#9	38.5 (+29.0)#481
10.	83446	67.4	36.9 (+30.5)#10	38.5 (+28.9)#502
11.	83547	66.2	36.9 (+29.3)#11	38.5 (+27.7)#616
12.	83808	65.5	36.9 (+28.6)#12	38.5 (+27.0)#696
13.	83643	65.5	36.9 (+28.6)#13	38.5 (+27.0)#698
14.	83666	65.5	36.9 (+28.6)#14	38.5 (+27.0)#703
15.	83220	64.8	36.9 (+27.9)#15	38.5 (+26.3)#801
16.	83462	64.6	36.9 (+27.7)#16	38.5 (+26.1)#823
17.	83353	64.5	36.9 (+27.6)#17	38.5 (+26.0)#830
18.	83465	63.7	36.9 (+26.8)#18	38.5 (+25.2)#962
19.	83287	63.5	36.9 (+26.6)#19	38.5 (+25.0)#991
20.	83825	63.4	36.9 (+26.5)#20	38.5 (+24.9)#1,016
21.	83203	63.3	36.9 (+26.4)#21	38.5 (+24.8)#1,038
22.	83804	63.2	36.9 (+26.3)#22	38.5 (+24.7)#1,046
23.	83253	63.2	36.9 (+26.3)#23	38.5 (+24.7)#1,063
24.	83552	62.9	36.9 (+26.0)#24	38.5 (+24.4)#1,102
25.	83842	62.8	36.9 (+25.9)#25	38.5 (+24.3)#1,136
26.	83466	62.6	36.9 (+25.7)#26	38.5 (+24.1)#1,180
27.	83238	62.5	36.9 (+25.6)#27	38.5 (+24.0)#1,203
28.	83215	62.5	36.9 (+25.6)#28	38.5 (+24.0)#1,211
29.	83546	62.1	36.9 (+25.2)#29	38.5 (+23.6)#1,314
30.	83545	62.1	36.9 (+25.2)#30	38.5 (+23.6)#1,316
31.	83525	62.1	36.9 (+25.2)#31	38.5 (+23.6)#1,317
32.	83312	61.9	36.9 (+25.0)#32	38.5 (+23.4)#1,374
33.	83836	61.7	36.9 (+24.8)#33	38.5 (+23.2)#1,415
34.	83611	60.7	36.9 (+23.8)#34	38.5 (+22.2)#1,628
35.	83670	60.7	36.9 (+23.8)#35	38.5 (+22.2)#1,637
36.	83803	60.6	36.9 (+23.7)#36	38.5 (+22.1)#1,664
37.	83553	60.5	36.9 (+23.6)#37	38.5 (+22.0)#1,694
38.	83833	60.3	36.9 (+23.4)#38	38.5 (+21.8)#1,769
39.	83468	60.1	36.9 (+23.2)#39	38.5 (+21.6)#1,856
40.	83612	59.8	36.9 (+22.9)#40	38.5 (+21.3)#1,922
41.	83811	59.6	36.9 (+22.7)#41	38.5 (+21.1)#1,980
42.	83839	59.6	36.9 (+22.7)#42	38.5 (+21.1)#1,983
43.	83549	59.6	36.9 (+22.7)#43	38.5 (+21.1)#1,988
44.	83848	59.2	36.9 (+22.3)#44	38.5 (+20.7)#2,138
45.	83822	58.9	36.9 (+22.0)#45	38.5 (+20.4)#2,210
46.	83285	58.9	36.9 (+22.0)#46	38.5 (+20.4)#2,229
47.	83541	58.8	36.9 (+21.9)#47	38.5 (+20.3)#2,241
48.	83637	58.6	36.9 (+21.7)#48	38.5 (+20.1)#2,312
49.	83810	58.4	36.9 (+21.5)#49	38.5 (+19.9)#2,359
50.	83827	57.9	36.9 (+21.0)#50	38.5 (+19.4)#2,537
51.	83251	57.5	36.9 (+20.6)#51	38.5 (+19.0)#2,658
52.	83821	56.9	36.9 (+20.0)#52	38.5 (+18.4)#2,914
53.	83826	56.9	36.9 (+20.0)#53	38.5 (+18.4)#2,918
54.	83627	56.6	36.9 (+19.7)#54	38.5 (+18.1)#3,015
55.	83555	56.6	36.9 (+19.7)#55	38.5 (+18.1)#3,020
56.	83428	56.5	36.9 (+19.6)#56	38.5 (+18.0)#3,050
57.	83227	56.0	36.9 (+19.1)#57	38.5 (+17.5)#3,283
58.	83539	55.7	36.9 (+18.8)#58	38.5 (+17.2)#3,366
59.	83524	55.3	36.9 (+18.4)#59	38.5 (+16.8)#3,540
60.	83622	55.0	36.9 (+18.1)#60	38.5 (+16.5)#3,665
61.	83449	54.3	36.9 (+17.4)#61	38.5 (+15.8)#4,074
62.	83632	54.1	36.9 (+17.2)#62	38.5 (+15.6)#4,154
63.	83233	53.9	36.9 (+17.0)#63	38.5 (+15.4)#4,250
64.	83523	53.6	36.9 (+16.7)#64	38.5 (+15.1)#4,394
65.	83246	53.5	36.9 (+16.6)#65	38.5 (+15.0)#4,435
66.	83226	53.4	36.9 (+16.5)#66	38.5 (+14.9)#4,475
67.	83650	53.2	36.9 (+16.3)#67	38.5 (+14.7)#4,593
68.	83629	52.7	36.9 (+15.8)#68	38.5 (+14.2)#4,819
69.	83535	52.5	36.9 (+15.6)#69	38.5 (+14.0)#4,933
70.	83876	52.3	36.9 (+15.4)#70	38.5 (+13.8)#5,030
71.	83536	52.1	36.9 (+15.2)#71	38.5 (+13.6)#5,132
72.	83866	51.7	36.9 (+14.8)#72	38.5 (+13.2)#5,411
73.	83281	51.7	36.9 (+14.8)#73	38.5 (+13.2)#5,416
74.	83332	51.6	36.9 (+14.7)#74	38.5 (+13.1)#5,445
75.	83467	51.5	36.9 (+14.6)#75	38.5 (+13.0)#5,506
76.	83806	51.5	36.9 (+14.6)#76	38.5 (+13.0)#5,539
77.	83873	51.0	36.9 (+14.1)#77	38.5 (+12.5)#5,844
78.	83615	51.0	36.9 (+14.1)#78	38.5 (+12.5)#5,851
79.	83340	50.6	36.9 (+13.7)#79	38.5 (+12.1)#6,089
80.	83872	50.3	36.9 (+13.4)#80	38.5 (+11.8)#6,344
81.	83855	49.9	36.9 (+13.0)#81	38.5 (+11.4)#6,667
82.	83654	49.8	36.9 (+12.9)#82	38.5 (+11.3)#6,734
83.	83633	49.7	36.9 (+12.8)#83	38.5 (+11.2)#6,848
84.	83860	49.4	36.9 (+12.5)#84	38.5 (+10.9)#7,052
85.	83834	49.4	36.9 (+12.5)#85	38.5 (+10.9)#7,121
86.	83677	49.3	36.9 (+12.4)#86	38.5 (+10.8)#7,203
87.	83544	48.9	36.9 (+12.0)#87	38.5 (+10.4)#7,488
88.	83845	48.7	36.9 (+11.8)#88	38.5 (+10.2)#7,649
89.	83537	48.6	36.9 (+11.7)#89	38.5 (+10.1)#7,755
90.	83861	48.4	36.9 (+11.5)#90	38.5 (+9.90)#7,911
91.	83856	48.3	36.9 (+11.4)#91	38.5 (+9.80)#7,997
92.	83809	48.3	36.9 (+11.4)#92	38.5 (+9.80)#8,078
93.	83871	48.2	36.9 (+11.3)#93	38.5 (+9.70)#8,135
94.	83213	48.1	36.9 (+11.2)#94	38.5 (+9.60)#8,254
95.	83841	48.0	36.9 (+11.1)#95	38.5 (+9.50)#8,364
96.	83271	48.0	36.9 (+11.1)#96	38.5 (+9.50)#8,373
97.	83846	47.7	36.9 (+10.8)#97	38.5 (+9.20)#8,683
98.	83824	47.7	36.9 (+10.8)#98	38.5 (+9.20)#8,696
99.	83623	47.5	36.9 (+10.6)#99	38.5 (+9.00)#8,883
100.	83520	47.4	36.9 (+10.5)#100	38.5 (+8.90)#9,013