Zip Codes with the Oldest Population in Texas

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

Top 10 Zip Codes with the Oldest Population in Texas are: #1 77431 88.2 . #2 77481 84.4 . #3 78142 80.4 . #4 76685 79.1 . #5 79259 76.7 . #6 76848 76.2 . #7 78125 74.8 . #8 79239 74.7 . #9 78075 74.5 . #10 78565 74.4 .

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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

Texas

United States

States

Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District Of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Puerto Rico Rhode Island South Carolina South Dakota TennesseeTexasUtah Vermont Virginia Washington West Virginia Wisconsin Wyoming

Texas Cities

Abilene Allen Alpine Amarillo Arlington Athens Austin Baytown Beaumont Bedford Beeville Big Spring Boerne Brownsville Bryan Canyon Carrollton Cleburne Cleveland College Station Conroe Corpus Christi Corsicana Cypress Dallas Denison Denton Duncanville Edinburg El Paso Euless Flower Mound Fort Bliss Fort Worth Frisco Galveston Garland Gatesville Georgetown Gilmer Granbury Grand Prairie Greenville Harlingen Henderson Houston Humble Huntsville Hurst Irving Katy Keller Killeen Kingwood Lancaster Laredo Leander Lewisville Longview Lubbock Lufkin Mabank Magnolia Marshall Mcallen Mckinney Mesquite Midland Mission Missouri City Montgomery Nacogdoches New Braunfels North Richland Hills Odessa Orange Palestine Paris Pasadena Pearland Plainview Plano Port Arthur Richardson Richmond Rockwall Round Rock Rowlett Rule San Angelo San Antonio Santa Fe Sherman Spring Stephenville Sugar Land Temple Tennessee Colony Terrell Texarkana Texas City Tomball Tyler Victoria Waco Waxahachie Weatherford Weslaco Wichita Falls Willis

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Map of Zip Codes with the Oldest Population in Texas

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Zip Codes with the Oldest Population in Texas

	Zip Code	Median Age	vs State	vs National
1.	77431	88.2	35.2(+53.0)#1	38.5(+49.7)#5
2.	77481	84.4	35.2(+49.2)#2	38.5(+45.9)#15
3.	78142	80.4	35.2(+45.2)#3	38.5(+41.9)#42
4.	76685	79.1	35.2(+43.9)#4	38.5(+40.6)#54
5.	79259	76.7	35.2(+41.5)#5	38.5(+38.2)#75
6.	76848	76.2	35.2(+41.0)#6	38.5(+37.7)#89
7.	78125	74.8	35.2(+39.6)#7	38.5(+36.3)#113
8.	79239	74.7	35.2(+39.5)#8	38.5(+36.2)#114
9.	78075	74.5	35.2(+39.3)#9	38.5(+36.0)#121
10.	78565	74.4	35.2(+39.2)#10	38.5(+35.9)#125
11.	78635	73.9	35.2(+38.7)#11	38.5(+35.4)#140
12.	79094	73.8	35.2(+38.6)#12	38.5(+35.3)#144
13.	75441	72.4	35.2(+37.2)#13	38.5(+33.9)#178
14.	77359	72.2	35.2(+37.0)#14	38.5(+33.7)#188
15.	76820	71.2	35.2(+36.0)#15	38.5(+32.7)#229
16.	78672	70.5	35.2(+35.3)#16	38.5(+32.0)#257
17.	78883	70.2	35.2(+35.0)#17	38.5(+31.7)#277
18.	77475	70.1	35.2(+34.9)#18	38.5(+31.6)#282
19.	78838	70.1	35.2(+34.9)#19	38.5(+31.6)#288
20.	78116	70.0	35.2(+34.8)#20	38.5(+31.5)#294
21.	76842	69.7	35.2(+34.5)#21	38.5(+31.2)#317
22.	77326	69.2	35.2(+34.0)#22	38.5(+30.7)#352
23.	79854	68.8	35.2(+33.6)#23	38.5(+30.3)#378
24.	77473	68.7	35.2(+33.5)#24	38.5(+30.2)#389
25.	76429	68.5	35.2(+33.3)#25	38.5(+30.0)#404
26.	78828	68.5	35.2(+33.3)#26	38.5(+30.0)#405
27.	78066	68.3	35.2(+33.1)#27	38.5(+29.8)#419
28.	76937	68.2	35.2(+33.0)#28	38.5(+29.7)#439
29.	78633	67.9	35.2(+32.7)#29	38.5(+29.4)#452
30.	79785	67.5	35.2(+32.3)#30	38.5(+29.0)#488
31.	77617	67.4	35.2(+32.2)#31	38.5(+28.9)#500
32.	79560	67.3	35.2(+32.1)#32	38.5(+28.8)#508
33.	78598	67.2	35.2(+32.0)#33	38.5(+28.7)#520
34.	75858	67.2	35.2(+32.0)#34	38.5(+28.7)#521
35.	75658	66.8	35.2(+31.6)#35	38.5(+28.3)#557
36.	78837	65.8	35.2(+30.6)#36	38.5(+27.3)#655
37.	77976	65.6	35.2(+30.4)#37	38.5(+27.1)#683
38.	79247	65.6	35.2(+30.4)#38	38.5(+27.1)#684
39.	77650	65.4	35.2(+30.2)#39	38.5(+26.9)#707
40.	78618	65.4	35.2(+30.2)#40	38.5(+26.9)#708
41.	78608	65.3	35.2(+30.1)#41	38.5(+26.8)#715
42.	78004	65.2	35.2(+30.0)#42	38.5(+26.7)#730
43.	76469	65.2	35.2(+30.0)#43	38.5(+26.7)#737
44.	78658	65.0	35.2(+29.8)#44	38.5(+26.5)#771
45.	76245	64.9	35.2(+29.7)#45	38.5(+26.4)#777
46.	76862	64.7	35.2(+29.5)#46	38.5(+26.2)#813
47.	77982	64.6	35.2(+29.4)#47	38.5(+26.1)#819
48.	76828	64.6	35.2(+29.4)#48	38.5(+26.1)#824
49.	78122	64.3	35.2(+29.1)#49	38.5(+25.8)#872
50.	78563	64.1	35.2(+28.9)#50	38.5(+25.6)#910
51.	78058	63.7	35.2(+28.5)#51	38.5(+25.2)#956
52.	78935	63.5	35.2(+28.3)#52	38.5(+25.0)#983
53.	77624	63.3	35.2(+28.1)#53	38.5(+24.8)#1,023
54.	78609	63.2	35.2(+28.0)#54	38.5(+24.7)#1,045
55.	79506	63.2	35.2(+28.0)#55	38.5(+24.7)#1,048
56.	77364	63.1	35.2(+27.9)#56	38.5(+24.6)#1,069
57.	78623	62.9	35.2(+27.7)#57	38.5(+24.4)#1,101
58.	78358	62.8	35.2(+27.6)#58	38.5(+24.3)#1,122
59.	78885	62.8	35.2(+27.6)#59	38.5(+24.3)#1,135
60.	77046	62.7	35.2(+27.5)#60	38.5(+24.2)#1,144
61.	77457	62.6	35.2(+27.4)#61	38.5(+24.1)#1,170
62.	76827	62.4	35.2(+27.2)#62	38.5(+23.9)#1,217
63.	76678	62.1	35.2(+26.9)#63	38.5(+23.6)#1,325
64.	76687	61.7	35.2(+26.5)#64	38.5(+23.2)#1,413
65.	79852	61.7	35.2(+26.5)#65	38.5(+23.2)#1,417
66.	77855	61.4	35.2(+26.2)#66	38.5(+22.9)#1,494
67.	79230	61.3	35.2(+26.1)#67	38.5(+22.8)#1,513
68.	77623	60.9	35.2(+25.7)#68	38.5(+22.4)#1,587
69.	78675	60.9	35.2(+25.7)#69	38.5(+22.4)#1,599
70.	79535	60.8	35.2(+25.6)#70	38.5(+22.3)#1,621
71.	76887	60.6	35.2(+25.4)#71	38.5(+22.1)#1,683
72.	76888	60.5	35.2(+25.3)#72	38.5(+22.0)#1,718
73.	76859	60.2	35.2(+25.0)#73	38.5(+21.7)#1,803
74.	78614	60.2	35.2(+25.0)#74	38.5(+21.7)#1,817
75.	79518	60.1	35.2(+24.9)#75	38.5(+21.6)#1,859
76.	75410	60.0	35.2(+24.8)#76	38.5(+21.5)#1,867
77.	75838	59.9	35.2(+24.7)#77	38.5(+21.4)#1,907
78.	78657	59.8	35.2(+24.6)#78	38.5(+21.3)#1,920
79.	79847	59.8	35.2(+24.6)#79	38.5(+21.3)#1,947
80.	79251	59.8	35.2(+24.6)#80	38.5(+21.3)#1,949
81.	78107	59.5	35.2(+24.3)#81	38.5(+21.0)#2,021
82.	76854	59.5	35.2(+24.3)#82	38.5(+21.0)#2,023
83.	76953	59.5	35.2(+24.3)#83	38.5(+21.0)#2,033
84.	76464	59.4	35.2(+24.2)#84	38.5(+20.9)#2,060
85.	77655	59.4	35.2(+24.2)#85	38.5(+20.9)#2,063
86.	79538	59.4	35.2(+24.2)#86	38.5(+20.9)#2,074
87.	79002	59.4	35.2(+24.2)#87	38.5(+20.9)#2,083
88.	75497	59.2	35.2(+24.0)#88	38.5(+20.7)#2,119
89.	75163	59.2	35.2(+24.0)#89	38.5(+20.7)#2,121
90.	75164	59.2	35.2(+24.0)#90	38.5(+20.7)#2,133
91.	79237	59.2	35.2(+24.0)#91	38.5(+20.7)#2,134
92.	79256	59.2	35.2(+24.0)#92	38.5(+20.7)#2,137
93.	79056	59.1	35.2(+23.9)#93	38.5(+20.6)#2,182
94.	79734	58.9	35.2(+23.7)#94	38.5(+20.4)#2,209
95.	76453	58.8	35.2(+23.6)#95	38.5(+20.3)#2,236
96.	78932	58.8	35.2(+23.6)#96	38.5(+20.3)#2,248
97.	75247	58.7	35.2(+23.5)#97	38.5(+20.2)#2,272
98.	78944	58.7	35.2(+23.5)#98	38.5(+20.2)#2,277
99.	78597	58.5	35.2(+23.3)#99	38.5(+20.0)#2,327
100.	79243	58.5	35.2(+23.3)#100	38.5(+20.0)#2,347