Zip Codes with the Highest Population in Maine

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

Top 10 Zip Codes with the Highest Population in Maine are: #1 04401 44,285 . #2 04240 37,577 . #3 04103 31,892 . #4 04106 26,873 . #5 04901 26,463 . #6 04330 26,394 . #7 04005 24,590 . #8 04210 24,038 . #9 04074 22,098 . #10 04011 21,691 .

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Highest Population

Population

Highest PopulationHighest Population Density Lowest Population Density Male / Female Ratio Female / Male Ratio Oldest Population Oldest 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

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Highest Population in Maine

50,000

Zip Codes with the Highest Population in Maine

	Zip Code	People	vs State	vs National
1.	04401	44,285	1,366,949 (-1.32m)#1	331,097,593 (-331m)#1,466
2.	04240	37,577	1,366,949 (-1.33m)#2	331,097,593 (-331m)#2,327
3.	04103	31,892	1,366,949 (-1.34m)#3	331,097,593 (-331m)#3,294
4.	04106	26,873	1,366,949 (-1.34m)#4	331,097,593 (-331m)#4,454
5.	04901	26,463	1,366,949 (-1.34m)#5	331,097,593 (-331m)#4,551
6.	04330	26,394	1,366,949 (-1.34m)#6	331,097,593 (-331m)#4,564
7.	04005	24,590	1,366,949 (-1.34m)#7	331,097,593 (-331m)#5,005
8.	04210	24,038	1,366,949 (-1.34m)#8	331,097,593 (-331m)#5,139
9.	04074	22,098	1,366,949 (-1.34m)#9	331,097,593 (-331m)#5,644
10.	04011	21,691	1,366,949 (-1.35m)#10	331,097,593 (-331m)#5,750
11.	04072	20,446	1,366,949 (-1.35m)#11	331,097,593 (-331m)#6,098
12.	04092	20,339	1,366,949 (-1.35m)#12	331,097,593 (-331m)#6,131
13.	04062	18,648	1,366,949 (-1.35m)#13	331,097,593 (-331m)#6,604
14.	04038	17,999	1,366,949 (-1.35m)#14	331,097,593 (-331m)#6,818
15.	04101	17,832	1,366,949 (-1.35m)#15	331,097,593 (-331m)#6,866
16.	04102	17,501	1,366,949 (-1.35m)#16	331,097,593 (-331m)#6,967
17.	04073	17,389	1,366,949 (-1.35m)#17	331,097,593 (-331m)#7,002
18.	04605	14,686	1,366,949 (-1.35m)#18	331,097,593 (-331m)#7,933
19.	04105	12,436	1,366,949 (-1.35m)#19	331,097,593 (-331m)#8,790
20.	04345	12,282	1,366,949 (-1.35m)#20	331,097,593 (-331m)#8,853
21.	04530	11,584	1,366,949 (-1.36m)#21	331,097,593 (-331m)#9,105
22.	04043	11,566	1,366,949 (-1.36m)#22	331,097,593 (-331m)#9,113
23.	04090	11,365	1,366,949 (-1.36m)#23	331,097,593 (-331m)#9,201
24.	03909	10,811	1,366,949 (-1.36m)#24	331,097,593 (-331m)#9,440
25.	04938	10,261	1,366,949 (-1.36m)#25	331,097,593 (-331m)#9,705
26.	04730	10,092	1,366,949 (-1.36m)#26	331,097,593 (-331m)#9,783
27.	04976	10,036	1,366,949 (-1.36m)#27	331,097,593 (-331m)#9,814
28.	04412	9,633	1,366,949 (-1.36m)#28	331,097,593 (-331m)#10,006
29.	04086	9,566	1,366,949 (-1.36m)#29	331,097,593 (-331m)#10,045
30.	04107	9,519	1,366,949 (-1.36m)#30	331,097,593 (-331m)#10,065
31.	04444	9,303	1,366,949 (-1.36m)#31	331,097,593 (-331m)#10,175
32.	04468	9,234	1,366,949 (-1.36m)#32	331,097,593 (-331m)#10,218
33.	04915	9,078	1,366,949 (-1.36m)#33	331,097,593 (-331m)#10,309
34.	04736	9,022	1,366,949 (-1.36m)#34	331,097,593 (-331m)#10,342
35.	04096	8,984	1,366,949 (-1.36m)#35	331,097,593 (-331m)#10,358
36.	04769	8,772	1,366,949 (-1.36m)#36	331,097,593 (-331m)#10,484
37.	04032	8,700	1,366,949 (-1.36m)#37	331,097,593 (-331m)#10,526
38.	04064	8,423	1,366,949 (-1.36m)#38	331,097,593 (-331m)#10,689
39.	04093	8,408	1,366,949 (-1.36m)#39	331,097,593 (-331m)#10,701
40.	04473	8,171	1,366,949 (-1.36m)#40	331,097,593 (-331m)#10,837
41.	03904	8,113	1,366,949 (-1.36m)#41	331,097,593 (-331m)#10,875
42.	03901	7,991	1,366,949 (-1.36m)#42	331,097,593 (-331m)#10,935
43.	04046	7,965	1,366,949 (-1.36m)#43	331,097,593 (-331m)#10,952
44.	04039	7,893	1,366,949 (-1.36m)#44	331,097,593 (-331m)#10,992
45.	04002	7,618	1,366,949 (-1.36m)#45	331,097,593 (-331m)#11,193
46.	03908	7,521	1,366,949 (-1.36m)#46	331,097,593 (-331m)#11,259
47.	04963	7,376	1,366,949 (-1.36m)#47	331,097,593 (-331m)#11,355
48.	04084	7,345	1,366,949 (-1.36m)#48	331,097,593 (-331m)#11,373
49.	04841	6,986	1,366,949 (-1.36m)#49	331,097,593 (-331m)#11,608
50.	04280	6,935	1,366,949 (-1.36m)#50	331,097,593 (-331m)#11,651
51.	03903	6,848	1,366,949 (-1.36m)#51	331,097,593 (-331m)#11,708
52.	04021	6,633	1,366,949 (-1.36m)#52	331,097,593 (-331m)#11,854
53.	04027	6,499	1,366,949 (-1.36m)#53	331,097,593 (-331m)#11,944
54.	04937	6,397	1,366,949 (-1.36m)#54	331,097,593 (-331m)#12,031
55.	04364	6,138	1,366,949 (-1.36m)#55	331,097,593 (-331m)#12,230
56.	04270	6,127	1,366,949 (-1.36m)#56	331,097,593 (-331m)#12,245
57.	04274	5,883	1,366,949 (-1.36m)#57	331,097,593 (-331m)#12,451
58.	04276	5,871	1,366,949 (-1.36m)#58	331,097,593 (-331m)#12,465
59.	04282	5,822	1,366,949 (-1.36m)#59	331,097,593 (-331m)#12,505
60.	04457	5,794	1,366,949 (-1.36m)#60	331,097,593 (-331m)#12,530
61.	04260	5,705	1,366,949 (-1.36m)#61	331,097,593 (-331m)#12,606
62.	04416	5,586	1,366,949 (-1.36m)#62	331,097,593 (-331m)#12,726
63.	04009	5,366	1,366,949 (-1.36m)#63	331,097,593 (-331m)#12,938
64.	04281	5,226	1,366,949 (-1.36m)#64	331,097,593 (-331m)#13,082
65.	04843	5,221	1,366,949 (-1.36m)#65	331,097,593 (-331m)#13,090
66.	04572	5,178	1,366,949 (-1.36m)#66	331,097,593 (-331m)#13,143
67.	04609	5,161	1,366,949 (-1.36m)#67	331,097,593 (-331m)#13,163
68.	04268	5,113	1,366,949 (-1.36m)#68	331,097,593 (-331m)#13,211
69.	03906	5,003	1,366,949 (-1.36m)#69	331,097,593 (-331m)#13,329
70.	04252	4,971	1,366,949 (-1.36m)#70	331,097,593 (-331m)#13,378
71.	04071	4,958	1,366,949 (-1.36m)#71	331,097,593 (-331m)#13,400
72.	04429	4,924	1,366,949 (-1.36m)#72	331,097,593 (-331m)#13,437
73.	04426	4,903	1,366,949 (-1.36m)#73	331,097,593 (-331m)#13,460
74.	04864	4,873	1,366,949 (-1.36m)#74	331,097,593 (-331m)#13,504
75.	04042	4,766	1,366,949 (-1.36m)#75	331,097,593 (-331m)#13,632
76.	04950	4,738	1,366,949 (-1.36m)#76	331,097,593 (-331m)#13,666
77.	04743	4,701	1,366,949 (-1.36m)#77	331,097,593 (-331m)#13,710
78.	04250	4,698	1,366,949 (-1.36m)#78	331,097,593 (-331m)#13,713
79.	04578	4,657	1,366,949 (-1.36m)#79	331,097,593 (-331m)#13,742
80.	04239	4,637	1,366,949 (-1.36m)#80	331,097,593 (-331m)#13,770
81.	04083	4,597	1,366,949 (-1.36m)#81	331,097,593 (-331m)#13,816
82.	04989	4,526	1,366,949 (-1.36m)#82	331,097,593 (-331m)#13,902
83.	04462	4,506	1,366,949 (-1.36m)#83	331,097,593 (-331m)#13,932
84.	04358	4,434	1,366,949 (-1.36m)#84	331,097,593 (-331m)#14,017
85.	04236	4,377	1,366,949 (-1.36m)#85	331,097,593 (-331m)#14,093
86.	04079	4,250	1,366,949 (-1.36m)#86	331,097,593 (-331m)#14,220
87.	04930	4,226	1,366,949 (-1.36m)#87	331,097,593 (-331m)#14,243
88.	04222	4,176	1,366,949 (-1.36m)#88	331,097,593 (-331m)#14,306
89.	04862	4,130	1,366,949 (-1.36m)#89	331,097,593 (-331m)#14,361
90.	04097	4,106	1,366,949 (-1.36m)#90	331,097,593 (-331m)#14,392
91.	04957	4,025	1,366,949 (-1.36m)#91	331,097,593 (-331m)#14,487
92.	04294	3,949	1,366,949 (-1.36m)#92	331,097,593 (-331m)#14,594
93.	04055	3,928	1,366,949 (-1.36m)#93	331,097,593 (-331m)#14,624
94.	04967	3,924	1,366,949 (-1.36m)#94	331,097,593 (-331m)#14,630
95.	04049	3,920	1,366,949 (-1.36m)#95	331,097,593 (-331m)#14,636
96.	04496	3,837	1,366,949 (-1.36m)#96	331,097,593 (-331m)#14,761
97.	04037	3,820	1,366,949 (-1.36m)#98	331,097,593 (-331m)#14,786
98.	04474	3,820	1,366,949 (-1.36m)#99	331,097,593 (-331m)#14,787
99.	04849	3,808	1,366,949 (-1.36m)#100	331,097,593 (-331m)#14,799
100.	04015	3,657	1,366,949 (-1.36m)#101	331,097,593 (-331m)#15,004