Zip Codes with the Oldest Population in Hawaii

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

Top 10 Zip Codes with the Oldest Population in Hawaii are: #1 96774 61.5 . #2 96710 60.4 . #3 96785 59.2 . #4 96770 57.6 . #5 96764 57.4 . #6 96780 57.2 . #7 96773 56.6 . #8 96751 54.9 . #9 96722 53.2 . #10 96713 53.1 .

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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

Hawaii

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Map of Zip Codes with the Oldest Population in Hawaii

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Zip Codes with the Oldest Population in Hawaii

	Zip Code	Median Age	vs State	vs National
1.	96774	61.5	39.9(+21.6)#1	38.5(+23.0)#1,457
2.	96710	60.4	39.9(+20.5)#2	38.5(+21.9)#1,750
3.	96785	59.2	39.9(+19.3)#3	38.5(+20.7)#2,118
4.	96770	57.6	39.9(+17.7)#4	38.5(+19.1)#2,630
5.	96764	57.4	39.9(+17.5)#5	38.5(+18.9)#2,707
6.	96780	57.2	39.9(+17.3)#6	38.5(+18.7)#2,788
7.	96773	56.6	39.9(+16.7)#7	38.5(+18.1)#3,021
8.	96751	54.9	39.9(+15.0)#8	38.5(+16.4)#3,752
9.	96722	53.2	39.9(+13.3)#9	38.5(+14.7)#4,569
10.	96713	53.1	39.9(+13.2)#10	38.5(+14.6)#4,639
11.	96759	50.9	39.9(+11.0)#11	38.5(+12.4)#5,931
12.	96704	49.9	39.9(+10.00)#12	38.5(+11.4)#6,636
13.	96760	49.9	39.9(+10.00)#13	38.5(+11.4)#6,650
14.	96821	49.8	39.9(+9.90)#14	38.5(+11.3)#6,696
15.	96755	49.4	39.9(+9.50)#15	38.5(+10.9)#7,065
16.	96825	49.0	39.9(+9.10)#16	38.5(+10.5)#7,385
17.	96790	48.1	39.9(+8.20)#17	38.5(+9.60)#8,205
18.	96737	47.4	39.9(+7.50)#18	38.5(+8.90)#8,960
19.	96815	46.9	39.9(+7.00)#19	38.5(+8.40)#9,455
20.	96781	46.7	39.9(+6.80)#20	38.5(+8.20)#9,741
21.	96816	46.6	39.9(+6.70)#21	38.5(+8.10)#9,777
22.	96728	46.1	39.9(+6.20)#22	38.5(+7.60)#10,446
23.	96725	45.7	39.9(+5.80)#23	38.5(+7.20)#10,893
24.	96817	45.5	39.9(+5.60)#24	38.5(+7.00)#11,082
25.	96756	45.4	39.9(+5.50)#25	38.5(+6.90)#11,270
26.	96772	45.4	39.9(+5.50)#26	38.5(+6.90)#11,295
27.	96746	45.3	39.9(+5.40)#27	38.5(+6.80)#11,361
28.	96768	44.8	39.9(+4.90)#28	38.5(+6.30)#11,995
29.	96791	44.7	39.9(+4.80)#29	38.5(+6.20)#12,147
30.	96749	44.5	39.9(+4.60)#30	38.5(+6.00)#12,406
31.	96744	44.2	39.9(+4.30)#31	38.5(+5.70)#12,798
32.	96814	44.2	39.9(+4.30)#32	38.5(+5.70)#12,819
33.	96796	44.1	39.9(+4.20)#33	38.5(+5.60)#13,051
34.	96719	44.0	39.9(+4.10)#34	38.5(+5.50)#13,232
35.	96750	43.9	39.9(+4.00)#35	38.5(+5.40)#13,349
36.	96753	43.8	39.9(+3.90)#36	38.5(+5.30)#13,428
37.	96732	43.8	39.9(+3.90)#37	38.5(+5.30)#13,432
38.	96701	43.7	39.9(+3.80)#38	38.5(+5.20)#13,569
39.	96813	43.7	39.9(+3.80)#39	38.5(+5.20)#13,580
40.	96778	43.5	39.9(+3.60)#40	38.5(+5.00)#13,904
41.	96742	43.3	39.9(+3.40)#41	38.5(+4.80)#14,305
42.	96826	43.2	39.9(+3.30)#42	38.5(+4.70)#14,318
43.	96716	43.2	39.9(+3.30)#43	38.5(+4.70)#14,403
44.	96741	43.0	39.9(+3.10)#44	38.5(+4.50)#14,713
45.	96757	42.7	39.9(+2.80)#45	38.5(+4.20)#15,249
46.	96740	42.6	39.9(+2.70)#46	38.5(+4.10)#15,276
47.	96822	42.5	39.9(+2.60)#47	38.5(+4.00)#15,430
48.	96782	42.3	39.9(+2.40)#48	38.5(+3.80)#15,759
49.	96779	42.3	39.9(+2.40)#49	38.5(+3.80)#15,866
50.	96763	42.2	39.9(+2.30)#50	38.5(+3.70)#16,032
51.	96754	42.1	39.9(+2.20)#51	38.5(+3.60)#16,185
52.	96789	41.8	39.9(+1.90)#52	38.5(+3.30)#16,609
53.	96752	41.8	39.9(+1.90)#53	38.5(+3.30)#16,716
54.	96720	41.7	39.9(+1.80)#54	38.5(+3.20)#16,795
55.	96743	41.7	39.9(+1.80)#55	38.5(+3.20)#16,845
56.	96714	41.6	39.9(+1.70)#56	38.5(+3.10)#17,066
57.	96761	40.8	39.9(+0.900)#57	38.5(+2.30)#18,368
58.	96797	40.6	39.9(+0.700)#58	38.5(+2.10)#18,700
59.	96771	40.2	39.9(+0.300)#59	38.5(+1.70)#19,561
60.	96703	40.2	39.9(+0.300)#60	38.5(+1.70)#19,587
61.	96712	39.9	39.9(=0.000)#61	38.5(+1.40)#20,059
62.	96727	39.9	39.9(=0.000)#62	38.5(+1.40)#20,080
63.	96708	39.8	39.9(-0.100)#63	38.5(+1.30)#20,230
64.	96819	39.5	39.9(-0.400)#64	38.5(+1.000)#20,697
65.	96766	39.5	39.9(-0.400)#65	38.5(+1.000)#20,755
66.	96747	39.5	39.9(-0.400)#66	38.5(+1.000)#20,832
67.	96738	38.9	39.9(-1.000)#67	38.5(+0.400)#21,766
68.	96729	38.9	39.9(-1.000)#68	38.5(+0.400)#21,816
69.	96776	38.8	39.9(-1.10)#69	38.5(+0.300)#21,972
70.	96783	38.7	39.9(-1.20)#70	38.5(+0.200)#22,171
71.	96793	38.2	39.9(-1.70)#71	38.5(-0.300)#22,926
72.	96748	37.9	39.9(-2.00)#72	38.5(-0.600)#23,493
73.	96734	36.8	39.9(-3.10)#73	38.5(-1.70)#25,081
74.	96730	36.4	39.9(-3.50)#74	38.5(-2.10)#25,737
75.	96795	36.2	39.9(-3.70)#75	38.5(-2.30)#25,962
76.	96705	35.4	39.9(-4.50)#76	38.5(-3.10)#27,016
77.	96707	34.9	39.9(-5.00)#77	38.5(-3.60)#27,487
78.	96717	33.8	39.9(-6.10)#78	38.5(-4.70)#28,621
79.	96706	33.7	39.9(-6.20)#79	38.5(-4.80)#28,660
80.	96792	33.5	39.9(-6.40)#80	38.5(-5.00)#28,815
81.	96731	33.0	39.9(-6.90)#81	38.5(-5.50)#29,226
82.	96818	32.9	39.9(-7.00)#82	38.5(-5.60)#29,257
83.	96765	31.7	39.9(-8.20)#83	38.5(-6.80)#30,091
84.	96786	28.0	39.9(-11.9)#84	38.5(-10.5)#31,404
85.	96769	27.9	39.9(-12.0)#85	38.5(-10.6)#31,442
86.	96777	26.7	39.9(-13.2)#86	38.5(-11.8)#31,637
87.	96762	23.9	39.9(-16.0)#87	38.5(-14.6)#31,965
88.	96848	23.8	39.9(-16.1)#88	38.5(-14.7)#31,983
89.	96858	23.5	39.9(-16.4)#89	38.5(-15.0)#32,025
90.	96860	22.6	39.9(-17.3)#90	38.5(-15.9)#32,124
91.	96857	22.3	39.9(-17.6)#91	38.5(-16.2)#32,152
92.	96853	22.0	39.9(-17.9)#92	38.5(-16.5)#32,201
93.	96863	21.6	39.9(-18.3)#93	38.5(-16.9)#32,260