Zip Codes with the Oldest Population in Oregon

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

Top 10 Zip Codes with the Oldest Population in Oregon are: #1 97903 76.1 . #2 97639 75.8 . #3 97028 74.4 . #4 97476 71.3 . #5 97842 71.3 . #6 97621 69.8 . #7 97877 69.5 . #8 97884 69.2 . #9 97357 68.6 . #10 97390 68.5 .

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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

Oregon

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Map of Zip Codes with the Oldest Population in Oregon

50.0

80.0

Zip Codes with the Oldest Population in Oregon

	Zip Code	Median Age	vs State	vs National
1.	97903	76.1	39.9(+36.2)#1	38.5(+37.6)#90
2.	97639	75.8	39.9(+35.9)#2	38.5(+37.3)#94
3.	97028	74.4	39.9(+34.5)#3	38.5(+35.9)#124
4.	97476	71.3	39.9(+31.4)#4	38.5(+32.8)#222
5.	97842	71.3	39.9(+31.4)#5	38.5(+32.8)#225
6.	97621	69.8	39.9(+29.9)#6	38.5(+31.3)#303
7.	97877	69.5	39.9(+29.6)#7	38.5(+31.0)#326
8.	97884	69.2	39.9(+29.3)#8	38.5(+30.7)#355
9.	97357	68.6	39.9(+28.7)#9	38.5(+30.1)#393
10.	97390	68.5	39.9(+28.6)#10	38.5(+30.0)#399
11.	97369	68.0	39.9(+28.1)#11	38.5(+29.5)#445
12.	97531	67.4	39.9(+27.5)#12	38.5(+28.9)#492
13.	97350	67.4	39.9(+27.5)#13	38.5(+28.9)#498
14.	97620	67.3	39.9(+27.4)#14	38.5(+28.8)#510
15.	97384	67.1	39.9(+27.2)#15	38.5(+28.6)#528
16.	97414	67.0	39.9(+27.1)#16	38.5(+28.5)#531
17.	97534	66.3	39.9(+26.4)#17	38.5(+27.8)#600
18.	97145	66.1	39.9(+26.2)#18	38.5(+27.6)#625
19.	97711	66.0	39.9(+26.1)#19	38.5(+27.5)#636
20.	97134	65.7	39.9(+25.8)#20	38.5(+27.2)#667
21.	97493	65.6	39.9(+25.7)#21	38.5(+27.1)#679
22.	97492	65.3	39.9(+25.4)#22	38.5(+26.8)#713
23.	97130	65.0	39.9(+25.1)#23	38.5(+26.5)#760
24.	97125	64.7	39.9(+24.8)#24	38.5(+26.2)#815
25.	97410	64.1	39.9(+24.2)#25	38.5(+25.6)#901
26.	97102	63.7	39.9(+23.8)#26	38.5(+25.2)#958
27.	97449	63.1	39.9(+23.2)#27	38.5(+24.6)#1,068
28.	97823	62.7	39.9(+22.8)#28	38.5(+24.2)#1,145
29.	97450	62.7	39.9(+22.8)#29	38.5(+24.2)#1,147
30.	97488	62.4	39.9(+22.5)#30	38.5(+23.9)#1,216
31.	97626	62.2	39.9(+22.3)#31	38.5(+23.7)#1,290
32.	97063	62.0	39.9(+22.1)#32	38.5(+23.5)#1,336
33.	97640	61.9	39.9(+22.0)#33	38.5(+23.4)#1,376
34.	97830	61.5	39.9(+21.6)#34	38.5(+23.0)#1,452
35.	97837	61.5	39.9(+21.6)#35	38.5(+23.0)#1,467
36.	97453	61.2	39.9(+21.3)#36	38.5(+22.7)#1,516
37.	97737	61.0	39.9(+21.1)#37	38.5(+22.5)#1,564
38.	97864	61.0	39.9(+21.1)#38	38.5(+22.5)#1,568
39.	97622	61.0	39.9(+21.1)#39	38.5(+22.5)#1,570
40.	97366	60.6	39.9(+20.7)#40	38.5(+22.1)#1,652
41.	97419	60.6	39.9(+20.7)#41	38.5(+22.1)#1,661
42.	97819	60.5	39.9(+20.6)#42	38.5(+22.0)#1,728
43.	97721	60.4	39.9(+20.5)#43	38.5(+21.9)#1,754
44.	97376	60.2	39.9(+20.3)#44	38.5(+21.7)#1,806
45.	97707	60.1	39.9(+20.2)#45	38.5(+21.6)#1,829
46.	97473	60.1	39.9(+20.2)#46	38.5(+21.6)#1,846
47.	97341	60.0	39.9(+20.1)#47	38.5(+21.5)#1,868
48.	97495	60.0	39.9(+20.1)#48	38.5(+21.5)#1,871
49.	97733	60.0	39.9(+20.1)#49	38.5(+21.5)#1,878
50.	97439	59.8	39.9(+19.9)#50	38.5(+21.3)#1,917
51.	97465	59.8	39.9(+19.9)#51	38.5(+21.3)#1,925
52.	97480	59.8	39.9(+19.9)#52	38.5(+21.3)#1,938
53.	97033	59.8	39.9(+19.9)#53	38.5(+21.3)#1,944
54.	97710	59.8	39.9(+19.9)#54	38.5(+21.3)#1,948
55.	97753	59.5	39.9(+19.6)#55	38.5(+21.0)#2,005
56.	97394	59.3	39.9(+19.4)#56	38.5(+20.8)#2,086
57.	97539	58.8	39.9(+18.9)#57	38.5(+20.3)#2,234
58.	97908	58.6	39.9(+18.7)#58	38.5(+20.1)#2,319
59.	97498	58.1	39.9(+18.2)#59	38.5(+19.6)#2,453
60.	97342	58.1	39.9(+18.2)#60	38.5(+19.6)#2,481
61.	97411	57.8	39.9(+17.9)#61	38.5(+19.3)#2,547
62.	97131	57.6	39.9(+17.7)#62	38.5(+19.1)#2,618
63.	97442	57.5	39.9(+17.6)#63	38.5(+19.0)#2,654
64.	97430	57.5	39.9(+17.6)#64	38.5(+19.0)#2,671
65.	97624	57.4	39.9(+17.5)#65	38.5(+18.9)#2,689
66.	97388	57.4	39.9(+17.5)#66	38.5(+18.9)#2,698
67.	97497	57.2	39.9(+17.3)#67	38.5(+18.7)#2,777
68.	97735	57.2	39.9(+17.3)#68	38.5(+18.7)#2,798
69.	97870	57.0	39.9(+17.1)#69	38.5(+18.5)#2,868
70.	97911	57.0	39.9(+17.1)#70	38.5(+18.5)#2,888
71.	97415	56.9	39.9(+17.0)#71	38.5(+18.4)#2,891
72.	97050	56.5	39.9(+16.6)#72	38.5(+18.0)#3,058
73.	97329	56.5	39.9(+16.6)#73	38.5(+18.0)#3,066
74.	97037	56.3	39.9(+16.4)#74	38.5(+17.8)#3,122
75.	97499	56.2	39.9(+16.3)#75	38.5(+17.7)#3,157
76.	97846	56.1	39.9(+16.2)#76	38.5(+17.6)#3,199
77.	97054	56.1	39.9(+16.2)#77	38.5(+17.6)#3,201
78.	97750	56.1	39.9(+16.2)#78	38.5(+17.6)#3,216
79.	97722	56.1	39.9(+16.2)#79	38.5(+17.6)#3,231
80.	97486	56.0	39.9(+16.1)#80	38.5(+17.5)#3,262
81.	97324	55.5	39.9(+15.6)#81	38.5(+17.0)#3,446
82.	97739	55.2	39.9(+15.3)#82	38.5(+16.7)#3,571
83.	97436	55.2	39.9(+15.3)#83	38.5(+16.7)#3,596
84.	97053	55.1	39.9(+15.2)#84	38.5(+16.6)#3,615
85.	97136	55.1	39.9(+15.2)#85	38.5(+16.6)#3,616
86.	97760	55.0	39.9(+15.1)#86	38.5(+16.5)#3,656
87.	97108	55.0	39.9(+15.1)#87	38.5(+16.5)#3,678
88.	97336	54.8	39.9(+14.9)#88	38.5(+16.3)#3,808
89.	97905	54.7	39.9(+14.8)#89	38.5(+16.2)#3,848
90.	97873	54.6	39.9(+14.7)#90	38.5(+16.1)#3,899
91.	97525	54.5	39.9(+14.6)#91	38.5(+16.0)#3,914
92.	97110	54.5	39.9(+14.6)#92	38.5(+16.0)#3,930
93.	97857	54.5	39.9(+14.6)#93	38.5(+16.0)#3,940
94.	97371	54.5	39.9(+14.6)#94	38.5(+16.0)#3,941
95.	97462	54.4	39.9(+14.5)#95	38.5(+15.9)#3,976
96.	97429	54.4	39.9(+14.5)#96	38.5(+15.9)#4,002
97.	97536	54.3	39.9(+14.4)#97	38.5(+15.8)#4,054
98.	97635	54.2	39.9(+14.3)#98	38.5(+15.7)#4,114
99.	97759	53.9	39.9(+14.0)#99	38.5(+15.4)#4,223
100.	97467	53.9	39.9(+14.0)#100	38.5(+15.4)#4,224