Zip Codes with the Oldest Population in Maine

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

Top 10 Zip Codes with the Oldest Population in Maine are: #1 04341 85.9 . #2 04624 71.6 . #3 04109 71.5 . #4 04964 71.4 . #5 04645 71.3 . #6 04006 70.6 . #7 04063 69.3 . #8 04855 69.3 . #9 04669 69.2 . #10 04975 68.7 .

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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

Maine

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Map of Zip Codes with the Oldest Population in Maine

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100.0

Zip Codes with the Oldest Population in Maine

	Zip Code	Median Age	vs State	vs National
1.	04341	85.9	44.8(+41.1)#1	38.5(+47.4)#11
2.	04624	71.6	44.8(+26.8)#2	38.5(+33.1)#205
3.	04109	71.5	44.8(+26.7)#3	38.5(+33.0)#210
4.	04964	71.4	44.8(+26.6)#4	38.5(+32.9)#215
5.	04645	71.3	44.8(+26.5)#5	38.5(+32.8)#226
6.	04006	70.6	44.8(+25.8)#6	38.5(+32.1)#250
7.	04063	69.3	44.8(+24.5)#7	38.5(+30.8)#342
8.	04855	69.3	44.8(+24.5)#8	38.5(+30.8)#344
9.	04669	69.2	44.8(+24.4)#9	38.5(+30.7)#353
10.	04975	68.7	44.8(+23.9)#10	38.5(+30.2)#388
11.	04576	68.5	44.8(+23.7)#11	38.5(+30.0)#400
12.	04779	68.5	44.8(+23.7)#12	38.5(+30.0)#401
13.	04635	68.5	44.8(+23.7)#13	38.5(+30.0)#407
14.	04571	68.2	44.8(+23.4)#14	38.5(+29.7)#431
15.	04541	68.1	44.8(+23.3)#15	38.5(+29.6)#443
16.	04019	67.6	44.8(+22.8)#16	38.5(+29.1)#476
17.	04554	66.3	44.8(+21.5)#17	38.5(+27.8)#599
18.	04851	66.1	44.8(+21.3)#18	38.5(+27.6)#627
19.	04693	66.0	44.8(+21.2)#19	38.5(+27.5)#633
20.	04642	65.6	44.8(+20.8)#20	38.5(+27.1)#681
21.	04650	65.3	44.8(+20.5)#21	38.5(+26.8)#716
22.	04478	65.2	44.8(+20.4)#22	38.5(+26.7)#731
23.	04613	65.1	44.8(+20.3)#23	38.5(+26.6)#751
24.	03907	64.9	44.8(+20.1)#24	38.5(+26.4)#778
25.	04859	64.5	44.8(+19.7)#25	38.5(+26.0)#832
26.	04558	64.4	44.8(+19.6)#26	38.5(+25.9)#855
27.	04863	64.3	44.8(+19.5)#27	38.5(+25.8)#865
28.	04285	64.2	44.8(+19.4)#28	38.5(+25.7)#886
29.	04631	63.9	44.8(+19.1)#29	38.5(+25.4)#932
30.	04768	63.8	44.8(+19.0)#30	38.5(+25.3)#944
31.	04538	62.8	44.8(+18.0)#31	38.5(+24.3)#1,115
32.	04848	62.6	44.8(+17.8)#32	38.5(+24.1)#1,169
33.	04066	62.5	44.8(+17.7)#33	38.5(+24.0)#1,187
34.	04413	62.5	44.8(+17.7)#34	38.5(+24.0)#1,197
35.	04739	62.2	44.8(+17.4)#35	38.5(+23.7)#1,284
36.	04652	62.1	44.8(+17.3)#36	38.5(+23.6)#1,304
37.	04417	61.9	44.8(+17.1)#37	38.5(+23.4)#1,367
38.	04003	61.8	44.8(+17.0)#38	38.5(+23.3)#1,399
39.	04944	61.8	44.8(+17.0)#39	38.5(+23.3)#1,403
40.	04451	61.4	44.8(+16.6)#40	38.5(+22.9)#1,483
41.	04056	61.2	44.8(+16.4)#41	38.5(+22.7)#1,526
42.	04860	61.0	44.8(+16.2)#42	38.5(+22.5)#1,559
43.	04544	61.0	44.8(+16.2)#43	38.5(+22.5)#1,560
44.	03911	60.8	44.8(+16.0)#44	38.5(+22.3)#1,613
45.	04764	60.8	44.8(+16.0)#45	38.5(+22.3)#1,625
46.	04079	60.7	44.8(+15.9)#46	38.5(+22.2)#1,627
47.	04261	60.6	44.8(+15.8)#47	38.5(+22.1)#1,674
48.	04349	60.4	44.8(+15.6)#48	38.5(+21.9)#1,733
49.	04267	60.4	44.8(+15.6)#49	38.5(+21.9)#1,765
50.	04490	60.3	44.8(+15.5)#50	38.5(+21.8)#1,784
51.	04441	60.1	44.8(+15.3)#51	38.5(+21.6)#1,833
52.	04772	59.4	44.8(+14.6)#52	38.5(+20.9)#2,056
53.	04108	59.3	44.8(+14.5)#53	38.5(+20.8)#2,092
54.	04442	59.1	44.8(+14.3)#54	38.5(+20.6)#2,178
55.	04539	58.8	44.8(+14.0)#55	38.5(+20.3)#2,237
56.	04548	58.8	44.8(+14.0)#56	38.5(+20.3)#2,243
57.	04766	58.7	44.8(+13.9)#57	38.5(+20.2)#2,283
58.	04462	58.5	44.8(+13.7)#58	38.5(+20.0)#2,323
59.	04226	58.4	44.8(+13.6)#59	38.5(+19.9)#2,384
60.	04685	58.3	44.8(+13.5)#60	38.5(+19.8)#2,401
61.	04491	58.3	44.8(+13.5)#61	38.5(+19.8)#2,412
62.	04564	58.2	44.8(+13.4)#62	38.5(+19.7)#2,430
63.	04497	58.1	44.8(+13.3)#63	38.5(+19.6)#2,471
64.	04227	58.0	44.8(+13.2)#64	38.5(+19.5)#2,508
65.	04464	57.9	44.8(+13.1)#65	38.5(+19.4)#2,528
66.	04231	57.9	44.8(+13.1)#66	38.5(+19.4)#2,534
67.	04746	57.8	44.8(+13.0)#67	38.5(+19.3)#2,571
68.	04675	57.7	44.8(+12.9)#68	38.5(+19.2)#2,609
69.	04783	57.6	44.8(+12.8)#69	38.5(+19.1)#2,632
70.	04970	57.3	44.8(+12.5)#70	38.5(+18.8)#2,731
71.	04679	57.3	44.8(+12.5)#71	38.5(+18.8)#2,732
72.	04740	57.3	44.8(+12.5)#72	38.5(+18.8)#2,734
73.	04686	57.3	44.8(+12.5)#73	38.5(+18.8)#2,751
74.	04763	57.1	44.8(+12.3)#74	38.5(+18.6)#2,826
75.	04537	57.0	44.8(+12.2)#75	38.5(+18.5)#2,853
76.	04939	57.0	44.8(+12.2)#76	38.5(+18.5)#2,860
77.	04547	56.9	44.8(+12.1)#77	38.5(+18.4)#2,904
78.	04660	56.7	44.8(+11.9)#78	38.5(+18.2)#2,971
79.	04275	56.6	44.8(+11.8)#79	38.5(+18.1)#3,011
80.	04414	56.5	44.8(+11.7)#80	38.5(+18.0)#3,032
81.	04947	56.5	44.8(+11.7)#81	38.5(+18.0)#3,033
82.	04673	56.5	44.8(+11.7)#82	38.5(+18.0)#3,060
83.	04765	56.4	44.8(+11.6)#83	38.5(+17.9)#3,080
84.	04662	56.4	44.8(+11.6)#84	38.5(+17.9)#3,092
85.	04359	56.3	44.8(+11.5)#85	38.5(+17.8)#3,136
86.	04627	56.2	44.8(+11.4)#86	38.5(+17.7)#3,153
87.	04616	56.2	44.8(+11.4)#87	38.5(+17.7)#3,171
88.	04471	56.1	44.8(+11.3)#88	38.5(+17.6)#3,210
89.	04563	56.0	44.8(+11.2)#89	38.5(+17.5)#3,242
90.	04681	56.0	44.8(+11.2)#90	38.5(+17.5)#3,257
91.	04774	56.0	44.8(+11.2)#91	38.5(+17.5)#3,267
92.	04064	55.8	44.8(+11.0)#92	38.5(+17.3)#3,320
93.	04961	55.7	44.8(+10.9)#93	38.5(+17.2)#3,374
94.	04785	55.6	44.8(+10.8)#94	38.5(+17.1)#3,388
95.	04017	55.6	44.8(+10.8)#95	38.5(+17.1)#3,412
96.	04920	55.2	44.8(+10.4)#96	38.5(+16.7)#3,584
97.	04978	55.1	44.8(+10.3)#97	38.5(+16.6)#3,626
98.	04043	54.9	44.8(+10.1)#98	38.5(+16.4)#3,708
99.	04617	54.9	44.8(+10.1)#99	38.5(+16.4)#3,734
100.	04216	54.9	44.8(+10.1)#100	38.5(+16.4)#3,739