Educational Attainment in the District 3:Trappe, Talbot County, Maryland (District)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Talbot County and the District 3:Trappe
District 3:Trappe
Talbot County
0%10%20%30%40%CountHigher Degree1H.S. Diploma2No H.S. Diploma246.587183%42.380411%46.587183%46.6%1,56345.543964%46.783709%45.543964%45.5%1,5287.868852%10.835880%7.868852%7.9%264
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Talbot County at large.
Scope: population of Talbot County and the District 3:Trappe
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma29.926219%9.926219%+9.9%46.587%46.6%42.380%42.4%-2.649949%-2.649949%-2.6%45.544%45.5%46.784%46.8%-27.381512%-27.381512%-27.4%7.869%7.87%10.836%10.8%
% percentage with given level in the District 3:Trappe
ref. percentage with given level in Talbot County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Talbot County and the District 3:Trappe
District 3:Trappe
Talbot County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None2.116244%2.711636%2.116244%2.1%715.663189%3.166536%5.663189%5.7%19011.356185%10.793233%11.356185%11.4%38121.251863%19.162698%21.251863%21.3%7136.199702%6.546307%6.199702%6.2%20820.000000%20.562940%20.000000%20.0%67125.543964%26.220769%25.543964%25.5%8575.514158%7.079394%5.514158%5.5%1852.026826%2.764944%2.026826%2.0%680.327869%0.991542%0.327869%0.3%11
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Talbot County at large.
Scope: population of Talbot County and the District 3:Trappe
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-21.956900%-21.956900%-22.0%2.116%2.12%2.712%2.71%78.844915%78.844915%+78.8%5.663%5.66%3.167%3.17%5.215781%5.215781%+5.2%11.356%11.4%10.793%10.8%10.902247%10.902247%+10.9%21.252%21.3%19.163%19.2%-5.294673%-5.294673%-5.3%6.200%6.20%6.546%6.55%-2.737643%-2.737643%-2.7%20.000%20.0%20.563%20.6%-2.581178%-2.581178%-2.6%25.544%25.5%26.221%26.2%-22.109750%-22.109750%-22.1%5.514%5.51%7.079%7.08%-26.695605%-26.695605%-26.7%2.027%2.03%2.765%2.76%-66.933427%-66.933427%-66.9%0.328%0.33%0.992%0.99%
% percentage with given level in the District 3:Trappe
ref. percentage with given level in Talbot County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Talbot County and the District 3:Trappe
More Females More Males
Talbot County
District 3:Trappe
20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-23.035528%-1.417374%-23.035528%23%51.284%51.3%41.682%41.7%-5.075361%18.764526%18.764526%19%41.715%41.7%49.543%49.5%25.338208%30.642740%25.338208%25%7.001%7.00%8.775%8.78%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Talbot County and the District 3:Trappe
More Females More Males
Talbot County
District 3:Trappe
1,000%500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None34.772267%143.470053%34.772267%35%1.809%1.81%2.438%2.44%126.305099%230.995485%126.305099%126%3.501%3.50%7.922%7.92%-91.481914%-54.187561%-91.481914%91%14.819%14.8%7.739%7.74%-20.282151%-0.677408%-20.282151%20%23.162%23.2%19.257%19.3%-84.739593%-32.388525%-84.739593%85%7.993%7.99%4.327%4.33%-4.235722%13.206612%13.206612%13%18.786%18.8%21.268%21.3%-5.739020%23.318339%23.318339%23%22.929%22.9%28.275%28.3%17.654640%45.499318%17.654640%18%5.076%5.08%5.972%5.97%118.392333%34.512887%118.392333%118%1.284%1.28%2.803%2.80%-1,000.000000%-84.277996%-1,000.000000%> 1000%0.642%0.64%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Talbot County and the District 3:Trappe
District 3:Trappe
Talbot County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3425.554484%19.517103%25.554484%25.6%2651,03720.951751%18.741362%20.951751%21.0%3171,51314.355231%21.973550%14.355231%14.4%5941118.274112%16.232054%18.274112%18.3%72394
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Talbot County at large.
Scope: population of Talbot County and the District 3:Trappe
30%20%10%0%10%20%30%%ref.65+45-6435-4425-3430.933800%30.933800%30.9%25.554%25.6%19.517%19.5%11.794178%11.794178%11.8%20.952%21.0%18.741%18.7%-34.670406%-34.670406%34.7%14.355%14.4%21.974%22.0%12.580403%12.580403%12.6%18.274%18.3%16.232%16.2%
% percentage in the District 3:Trappe with a Bachelor's degree
ref percentage in Talbot County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Talbot County and the District 3:Trappe
More Females More Males
Talbot County
District 3:Trappe
300%200%100%0%FM65+45-6435-4425-345.597693%18.097354%5.597693%5.6%24.910%24.9%26.305%26.3%-9.309833%-12.808124%-9.309833%9.3%21.918%21.9%20.051%20.1%-72.637615%-6.664005%-72.637615%72.6%17.890%17.9%10.363%10.4%-305.843195%-12.122829%-305.843195%305.8%28.365%28.4%6.989%6.99%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Talbot County and the District 3:Trappe
District 3:Trappe
Talbot County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$77,500.000000$56,357.000000$77,500.000000$77.5k64219.136%19.1%$43,194.000000$50,695.000000$43,194.000000$43.2k71321.252%21.3%$34,444.000000$36,699.000000$34,444.000000$34.4k87926.200%26.2%$25,714.000000$27,608.000000$25,714.000000$25.7k85725.544%25.5%$37,155.000000$36,846.000000$37,155.000000$37.2k3,355100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Talbot County and the District 3:Trappe
Female Male
Talbot County
District 3:Trappe
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-52,031.000000$-52,077.000000$-52,031.000000$52.0k$52,031.000000$93,505.000000$52,077.000000$24,423.000000$145,536.000000$145.5k345297$-41,686.000000$-40,766.000000$-41,686.000000$41.7k$41,686.000000$8,522.000000$40,766.000000$24,474.000000$50,208.000000$50.2k397316$-27,540.000000$-30,803.000000$-27,540.000000$27.5k$27,540.000000$15,441.000000$30,803.000000$15,701.000000$42,981.000000$43.0k459420$-21,406.000000$-25,168.000000$-21,406.000000$21.4k$21,406.000000$6,328.000000$25,168.000000$6,664.000000$27,734.000000$27.7k393464$-2,499.000000$-13,831.000000$-2,499.000000$2.5k$2,499.000000$27,189.000000$13,831.000000$18,426.000000$29,688.000000$29.7k120144$-31,632.000000$-31,116.000000$-31,632.000000$31.6k$31,632.000000$9,893.000000$31,116.000000$11,686.000000$41,525.000000$41.5k1,7141,641
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Talbot County and the District 3:Trappe
District 3:Trappe
Talbot County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.000000%0.0%0100.000000%100.000000%100.000000%100.0%70.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Talbot County and the District 3:Trappe
District 3:Trappe
Talbot County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma381.011097%79.905756%81.011097%81.0%65774.705882%80.820399%74.705882%74.7%50874.718196%70.973631%74.718196%74.7%46471.844660%64.002090%71.844660%71.8%148
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Talbot County and the District 3:Trappe
Female Male
Talbot County
District 3:Trappe
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-3.860712%-6.683429%-3.860712%3.9%3.860712%4.616408%6.683429%2.607939%8.477119%8.5%11351-0.892857%-11.278195%-16.566524%-0.730439%-12.171053%12.2%0.892857%16.566524%0.892857%0.9%237-0.000000%-25.000000%-10.843373%-5.248581%-25.000000%25.0%0.000000%10.843373%0.000000%0.0%06-42.647059%-7.352941%-34.477379%-50.000000%50.0%42.647059%34.477379%19.596695%42.647059%42.6%2926-0.000000%-19.593346%-5.723110%0.000000%0.0%0.000000%0.000000%19.593346%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Talbot County and the District 3:Trappe
Female Male
Talbot County
District 3:Trappe
Shaded bar tips show excess over facing bar.
0%50%100%MFWhite1BlackAsianHispanic2Other1-45.011253%-4.420995%-39.232703%-49.432248%49.4%45.011253%39.232703%2.634994%45.011253%45.0%600653-3.571429%-19.454887%-9.356223%-4.716932%-23.026316%23.0%3.571429%9.356223%3.571429%3.6%870-0.000000%-39.080460%0.000000%0.0%0.000000%100.000000%39.080460%15.136408%100.000000%100.0%50-0.000000%-28.846154%-16.888889%-11.504247%-28.846154%28.8%0.000000%16.888889%0.000000%0.0%015-0.000000%-23.076923%-2.587800%-16.821482%-23.076923%23.1%0.000000%2.587800%0.000000%0.0%06
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the District 3:Trappe

Coarse: Post-Secondary Degree Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
40.9%42.3%43.6%45.0%46.3%47.7%

Coarse: High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
44.2%44.8%45.3%45.9%46.4%47.0%

Coarse: No High School Diploma Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
8.1%8.9%9.7%10.5%11.3%12.2%

Detailed: Doctorate Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
2.18%2.30%2.43%2.55%2.68%2.80%

Detailed: Professional Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
3.52%3.99%4.45%4.91%5.37%5.84%

Detailed: Master's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
10.09%10.42%10.74%11.06%11.38%11.71%

Detailed: Bachelor's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
19.69%20.07%20.44%20.82%21.19%21.57%

Detailed: Associate's Degree Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
4.81%5.13%5.44%5.76%6.07%6.40%

Detailed: Some College Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
19.5%20.3%21.1%22.0%22.8%23.6%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
23.37%23.64%23.90%24.17%24.43%24.71%

Detailed: Some High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
5.68%6.16%6.63%7.11%7.58%8.06%

Detailed: Less than High School Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
2.08%2.29%2.50%2.70%2.91%3.12%

Detailed: None Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.33%0.46%0.58%0.70%0.82%0.95%
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Educational Attainment by County Subdivision in the Easton Area

There are 5 county subdivisions in the Easton Area. This section compares the District 3:Trappe to all of the county subdivisions in the Easton Area and to those entities that contain or substantially overlap with the District 3:Trappe.

No H.S. Diploma by County Subdivision#29

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the District 3:Trappe, selected other county subdivisions in the Easton Area, and entities that contain the District 3:Trappe
0%5%10%Count#SouthDistrict 5:Bay Hundred5, Bay HundredUnited States of AmericaUnited StatesSouth AtlanticDistrict 1:Easton1, EastonDistrict 4:Chapel4, ChapelEaston Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountyMarylandDistrict 3:Trappe3, TrappeDistrict 2:St. Michaels2, St. Michaels14.392758%14.392758%14.4%11,511,24211.5M13.076437%13.076437%13.1%207113.020590%13.020590%13.0%27,818,38027.8M12.827640%12.827640%12.8%5,478,9325.48M12.287663%12.287663%12.3%1,982211.921891%11.921891%11.9%348310.835880%10.835880%10.8%3,04910.835880%10.835880%10.8%3,04910.835880%10.835880%10.8%3,04910.382272%10.382272%10.4%420,756421k7.868852%7.868852%7.9%26445.974464%5.974464%6.0%2485
Count number of people in category
# rank of county subdivision out of 5 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#30

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the District 3:Trappe, selected other county subdivisions in the Easton Area, and entities that contain the District 3:Trappe
0%10%20%30%40%Count#District 2:St. Michaels2, St. MichaelsDistrict 3:Trappe3, TrappeMarylandEaston Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountyDistrict 5:Bay Hundred5, Bay HundredDistrict 1:Easton1, EastonSouth AtlanticUnited States of AmericaUnited StatesSouthDistrict 4:Chapel4, Chapel46.687545%46.687545%46.7%1,938140.387481%40.387481%40.4%1,355238.412279%38.412279%38.4%1,556,7111.56M35.834103%35.834103%35.8%10,08310.1k35.834103%35.834103%35.8%10,08310.1k35.834103%35.834103%35.8%10,08310.1k34.301958%34.301958%34.3%543334.172350%34.172350%34.2%5,512430.457708%30.457708%30.5%13,009,07313.0M30.315023%30.315023%30.3%64,767,78764.8M28.191926%28.191926%28.2%22,547,73422.5M25.179856%25.179856%25.2%7355
Count number of people in category
# rank of county subdivision out of 5 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#31

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the District 3:Trappe, selected other county subdivisions in the Easton Area, and entities that contain the District 3:Trappe
0%2%4%6%Count#District 3:Trappe3, TrappeDistrict 5:Bay Hundred5, Bay HundredDistrict 2:St. Michaels2, St. MichaelsEaston Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountyDistrict 1:Easton1, EastonMarylandSouth AtlanticDistrict 4:Chapel4, ChapelUnited States of AmericaUnited StatesSouth7.779434%7.779434%7.8%26117.706886%7.706886%7.7%12226.745363%6.745363%6.7%28035.878172%5.878172%5.9%1,6545.878172%5.878172%5.9%1,6545.878172%5.878172%5.9%1,6545.536268%5.536268%5.5%89345.485611%5.485611%5.5%222,312222k3.501306%3.501306%3.5%1,495,4751.50M3.357314%3.357314%3.4%9853.336158%3.336158%3.3%7,127,6737.13M3.064699%3.064699%3.1%2,451,1282.45M
Count number of people in category
# rank of county subdivision out of 5 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#32

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the District 3:Trappe, selected other county subdivisions in the Easton Area, and entities that contain the District 3:Trappe
Female
Male
1x0x1x2x3xFM#5, Bay Hundred2, St. MichaelsEaston AreaTalbotTalbot County3, Trappe1, EastonMarylandSouth AtlanticSouthUnited States4, Chapel-1.000000x-1.000000x3.348798x3.348798x3.35x5.987%5.99%20.050%20.1%1-1.000000x-1.000000x1.484488x1.484488x1.48x4.913%4.91%7.293%7.29%2-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.253382x1.253382x1.25x7.001%7.00%8.775%8.78%3-1.000000x-1.000000x1.220382x1.220382x1.22x11.156%11.2%13.614%13.6%4-1.000000x-1.000000x1.192582x1.192582x1.19x9.516%9.52%11.349%11.3%-1.000000x-1.000000x1.178860x1.178860x1.18x11.819%11.8%13.933%13.9%-1.000000x-1.000000x1.149925x1.149925x1.15x13.427%13.4%15.440%15.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104870x1.104870x1.10x11.382%11.4%12.576%12.6%5
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 5 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the District 3:Trappe, selected other county subdivisions in the Easton Area, and entities that contain the District 3:Trappe
Female
Male
1x0x1x2x3x4x5xFM#5, Bay Hundred2, St. MichaelsEaston AreaTalbotTalbot County1, Easton3, Trappe4, ChapelSouthUnited StatesSouth AtlanticMaryland-1.000000x-1.000000x5.016917x5.016917x5.02x2.548%2.55%12.782%12.8%1-1.000000x-1.000000x4.110044x4.110044x4.11x2.826%2.83%11.615%11.6%2-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.807687x2.807687x2.81x3.022%3.02%8.484%8.48%3-1.000000x-1.000000x1.951236x1.951236x1.95x5.309%5.31%10.360%10.4%4-1.000000x-1.000000x1.912679x1.912679x1.91x2.376%2.38%4.545%4.55%5-1.000000x-1.000000x1.555780x1.555780x1.56x2.420%2.42%3.764%3.76%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.520688x1.520688x1.52x2.804%2.80%4.265%4.26%-1.000000x-1.000000x1.469793x1.469793x1.47x4.489%4.49%6.598%6.60%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 5 by male-to-female sex ratio

Educational Attainment by County Subdivision in Maryland

There are 290 county subdivisions in Maryland. This section compares the District 3:Trappe to the 50 most populous county subdivisions in Maryland and to those entities that contain or substantially overlap with the District 3:Trappe. The least populous of the compared county subdivisions has a population of 37,366.

No H.S. Diploma by County Subdivision#34

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the District 3:Trappe, selected other county subdivisions in Maryland, and entities that contain the District 3:Trappe
0%10%20%30%Count#District 17:Chillum17, ChillumDistrict 2:Bladensburg2, BladensburgBaltimore District 1212District 20:Lanham20, LanhamBaltimore District 1313BaltimoreBaltimore District 1515SouthMontgomery District 1313District 12:Oxon Hill12, Oxon HlDistrict 21:Berwyn21, BerwynAnne Arundel District 11United States of AmericaUnited StatesSouth AtlanticMontgomery District 99District 10:Laurel10, LaurelAnne Arundel District 22District 6:Spauldings6, SpauldingsDistrict 8:Bay8, BayEaston Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountyMarylandMontgomery District 55Baltimore District 1414District 2:Frederick2, FrederickDistrict 7:Westminster7, WestminsterAnne Arundel District 33Anne Arundel District 66Baltimore District 44Baltimore District 11District 5:Piscataway5, PiscatawayDistrict 3:Trappe3, TrappeDistrict 1:Abingdon1, AbingdonDistrict 13:Kent13, KentDistrict 1:Elkridge1, ElkridgeBaltimore District 22Montgomery District 22District 6:Waldorf6, WaldorfBaltimore District 99District 9:Surratts9, SurrattsMontgomery District 44Anne Arundel District 44Baltimore District 1111District 6:Savage6, SavageAnne Arundel District 77District 14:Bowie14, BowieDistrict 3:Bel Air3, Bel AirBaltimore District 33District 2:Ellicott City2, Ellicott CityBaltimore District 88Montgomery District 88District 7:Queen Anne7, Queen AnneAnne Arundel District 55Montgomery District 66Montgomery District 1010District 5:Clarksville5, ClarksvilleMontgomery District 7736.828740%36.828740%36.8%20,73920.7k126.298758%26.298758%26.3%7,477218.905486%18.905486%18.9%6,809318.544618%18.544618%18.5%5,079417.036597%17.036597%17.0%4,306516.548703%16.548703%16.5%69,83969.8k615.897922%15.897922%15.9%11,58111.6k714.392758%14.392758%14.4%11,511,24211.5M14.133942%14.133942%14.1%26,06226.1k813.772915%13.772915%13.8%6,634913.336973%13.336973%13.3%5,3741013.101766%13.101766%13.1%7,3591113.020590%13.020590%13.0%27,818,38027.8M12.827640%12.827640%12.8%5,478,9325.48M11.902382%11.902382%11.9%14,16814.2k1211.195073%11.195073%11.2%4,5631311.180726%11.180726%11.2%5,9961411.169128%11.169128%11.2%6,7381511.033975%11.033975%11.0%2,8451610.835880%10.835880%10.8%3,04910.835880%10.835880%10.8%3,04910.835880%10.835880%10.8%3,04910.382272%10.382272%10.4%420,756421k10.217417%10.217417%10.2%7,740179.857773%9.857773%9.9%3,417189.649295%9.649295%9.6%4,914199.582063%9.582063%9.6%2,389208.740813%8.740813%8.7%4,662218.171678%8.171678%8.2%4,381228.151911%8.151911%8.2%3,370237.993460%7.993460%8.0%4,400247.895634%7.895634%7.9%2,315257.868852%7.868852%7.9%2647.569083%7.569083%7.6%4,536267.457952%7.457952%7.5%3,738277.253306%7.253306%7.3%2,139287.055580%7.055580%7.1%5,093296.573466%6.573466%6.6%2,304306.533909%6.533909%6.5%3,478316.434974%6.434974%6.4%4,279326.278852%6.278852%6.3%2,013336.129684%6.129684%6.1%5,585346.080421%6.080421%6.1%3,608355.970452%5.970452%6.0%3,233365.766042%5.766042%5.8%3,756375.736585%5.736585%5.7%3,190385.635547%5.635547%5.6%1,456395.240250%5.240250%5.2%3,046404.798469%4.798469%4.8%1,931414.283799%4.283799%4.3%1,917424.214797%4.214797%4.2%2,109433.936579%3.936579%3.9%1,301443.683966%3.683966%3.7%1,583453.445367%3.445367%3.4%1,756463.388899%3.388899%3.4%1,171472.726443%2.726443%2.7%717482.616489%2.616489%2.6%1,232491.724381%1.724381%1.7%1,22350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#35

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the District 3:Trappe, selected other county subdivisions in Maryland, and entities that contain the District 3:Trappe
0%20%40%60%80%Count#Montgomery District 77Montgomery District 1010Montgomery District 66District 5:Clarksville5, ClarksvilleMontgomery District 44District 2:Ellicott City2, Ellicott CityMontgomery District 88Baltimore District 88Anne Arundel District 55Montgomery District 22District 1:Elkridge1, ElkridgeDistrict 6:Savage6, SavageBaltimore District 33Anne Arundel District 66District 7:Queen Anne7, Queen AnneMontgomery District 1313Montgomery District 55Montgomery District 99Baltimore District 99District 14:Bowie14, BowieAnne Arundel District 44District 21:Berwyn21, BerwynBaltimore District 44Anne Arundel District 77Baltimore District 1111Baltimore District 11District 3:Bel Air3, Bel AirDistrict 3:Trappe3, TrappeDistrict 10:Laurel10, LaurelDistrict 5:Piscataway5, PiscatawayMarylandDistrict 2:Frederick2, FrederickBaltimore District 22Easton Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountyDistrict 13:Kent13, KentDistrict 7:Westminster7, WestminsterDistrict 8:Bay8, BayDistrict 1:Abingdon1, AbingdonSouth AtlanticUnited States of AmericaUnited StatesBaltimoreDistrict 6:Waldorf6, WaldorfDistrict 9:Surratts9, SurrattsSouthBaltimore District 1414Anne Arundel District 11Anne Arundel District 33District 20:Lanham20, LanhamAnne Arundel District 22District 12:Oxon Hill12, Oxon HlDistrict 17:Chillum17, ChillumBaltimore District 1313District 6:Spauldings6, SpauldingsDistrict 2:Bladensburg2, BladensburgBaltimore District 1515Baltimore District 121283.620495%83.620495%83.6%59,30759.3k181.424443%81.424443%81.4%21,41321.4k268.950049%68.950049%69.0%23,82523.8k368.687083%68.687083%68.7%32,34232.3k467.822728%67.822728%67.8%61,79661.8k566.008939%66.008939%66.0%29,53929.5k661.723501%61.723501%61.7%20,39920.4k758.155802%58.155802%58.2%29,10029.1k857.513685%57.513685%57.5%29,31329.3k956.733238%56.733238%56.7%19,88519.9k1056.527636%56.527636%56.5%16,67016.7k1154.381333%54.381333%54.4%35,42435.4k1253.625565%53.625565%53.6%21,58021.6k1351.660076%51.660076%51.7%27,69627.7k1450.465441%50.465441%50.5%21,68521.7k1548.811506%48.811506%48.8%90,00590.0k1648.763745%48.763745%48.8%36,94036.9k1748.457176%48.457176%48.5%57,68157.7k1848.082591%48.082591%48.1%31,97332.0k1947.557671%47.557671%47.6%12,28712.3k2045.496983%45.496983%45.5%26,99727.0k2143.041148%43.041148%43.0%17,34317.3k2242.943880%42.943880%42.9%17,75317.8k2342.885916%42.885916%42.9%23,84823.8k2441.447830%41.447830%41.4%22,44422.4k2540.666727%40.666727%40.7%22,38522.4k2640.576668%40.576668%40.6%23,58623.6k2740.387481%40.387481%40.4%1,35540.288035%40.288035%40.3%16,42116.4k2838.659618%38.659618%38.7%11,33511.3k2938.412279%38.412279%38.4%1,556,7111.56M37.091073%37.091073%37.1%18,88918.9k3037.020669%37.020669%37.0%26,72326.7k3135.834103%35.834103%35.8%10,08310.1k35.834103%35.834103%35.8%10,08310.1k35.834103%35.834103%35.8%10,08310.1k34.620219%34.620219%34.6%17,35217.4k3232.977699%32.977699%33.0%8,2223332.686938%32.686938%32.7%8,4283431.761447%31.761447%31.8%19,03419.0k3530.457708%30.457708%30.5%13,009,07313.0M30.315023%30.315023%30.3%64,767,78764.8M29.719611%29.719611%29.7%125,423125k3629.695660%29.695660%29.7%15,80715.8k3728.222084%28.222084%28.2%9,0483828.191926%28.191926%28.2%22,547,73422.5M27.300003%27.300003%27.3%9,4633927.245051%27.245051%27.2%15,30315.3k4026.415554%26.415554%26.4%14,08914.1k4125.324960%25.324960%25.3%6,9364224.962706%24.962706%25.0%13,38713.4k4323.132020%23.132020%23.1%11,14211.1k4419.548231%19.548231%19.5%11,00811.0k4519.438180%19.438180%19.4%4,9134619.157260%19.157260%19.2%11,55711.6k4717.931132%17.931132%17.9%5,0984815.033083%15.033083%15.0%10,95111.0k4911.289427%11.289427%11.3%4,06650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#36

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the District 3:Trappe, selected other county subdivisions in Maryland, and entities that contain the District 3:Trappe
0%5%10%15%20%25%Count#Montgomery District 77Montgomery District 1010Montgomery District 44Montgomery District 66District 5:Clarksville5, ClarksvilleDistrict 2:Ellicott City2, Ellicott CityBaltimore District 33Baltimore District 88Montgomery District 88Montgomery District 1313District 3:Trappe3, TrappeAnne Arundel District 66Baltimore District 99Montgomery District 99District 6:Savage6, SavageDistrict 1:Elkridge1, ElkridgeDistrict 21:Berwyn21, BerwynMontgomery District 55Anne Arundel District 55Montgomery District 22District 14:Bowie14, BowieEaston Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountyMarylandBaltimore District 11District 7:Queen Anne7, Queen AnneBaltimoreAnne Arundel District 77Baltimore District 44District 2:Frederick2, FrederickDistrict 5:Piscataway5, PiscatawayBaltimore District 1111District 10:Laurel10, LaurelAnne Arundel District 44South AtlanticUnited States of AmericaUnited StatesDistrict 3:Bel Air3, Bel AirDistrict 7:Westminster7, WestminsterSouthDistrict 13:Kent13, KentBaltimore District 22Anne Arundel District 11District 1:Abingdon1, AbingdonBaltimore District 1414District 8:Bay8, BayDistrict 6:Waldorf6, WaldorfDistrict 20:Lanham20, LanhamDistrict 9:Surratts9, SurrattsDistrict 12:Oxon Hill12, Oxon HlDistrict 17:Chillum17, ChillumAnne Arundel District 22District 2:Bladensburg2, BladensburgAnne Arundel District 33Baltimore District 1313District 6:Spauldings6, SpauldingsBaltimore District 1515Baltimore District 121227.426541%27.426541%27.4%19,45219.5k125.724390%25.724390%25.7%6,765216.982023%16.982023%17.0%15,47315.5k315.318053%15.318053%15.3%5,293414.503249%14.503249%14.5%6,829510.965363%10.965363%11.0%4,907610.610805%10.610805%10.6%4,270710.326152%10.326152%10.3%5,167810.118309%10.118309%10.1%3,34499.714577%9.714577%9.7%17,91317.9k107.779434%7.779434%7.8%2617.694173%7.694173%7.7%4,125117.597449%7.597449%7.6%5,052127.586004%7.586004%7.6%9,030137.348787%7.348787%7.3%4,787147.066802%7.066802%7.1%2,084157.045714%7.045714%7.0%2,839166.871015%6.871015%6.9%5,205176.818137%6.818137%6.8%3,475186.573466%6.573466%6.6%2,304196.018734%6.018734%6.0%1,555205.878172%5.878172%5.9%1,6545.878172%5.878172%5.9%1,6545.878172%5.878172%5.9%1,6545.485611%5.485611%5.5%222,312222k5.139431%5.139431%5.1%2,829214.942983%4.942983%4.9%2,124224.934352%4.934352%4.9%20,82420.8k234.903971%4.903971%4.9%2,727244.475085%4.475085%4.5%1,850254.149158%4.149158%4.1%2,113264.004093%4.004093%4.0%1,174273.970452%3.970452%4.0%2,150283.665448%3.665448%3.7%1,494293.557585%3.557585%3.6%2,111303.501306%3.501306%3.5%1,495,4751.50M3.336158%3.336158%3.3%7,127,6737.13M3.199890%3.199890%3.2%1,860313.088400%3.088400%3.1%770323.064699%3.064699%3.1%2,451,1282.45M2.891004%2.891004%2.9%1,449332.838579%2.838579%2.8%2,049342.725751%2.725751%2.7%1,531352.684889%2.684889%2.7%1,609362.397369%2.397369%2.4%831372.358052%2.358052%2.4%608382.017659%2.017659%2.0%1,074391.854827%1.854827%1.9%508401.846538%1.846538%1.8%592411.814520%1.814520%1.8%874421.793579%1.793579%1.8%1,010431.739763%1.739763%1.7%933441.586297%1.586297%1.6%451451.394930%1.394930%1.4%744461.325420%1.325420%1.3%335471.200126%1.200126%1.2%724481.073498%1.073498%1.1%782490.488672%0.488672%0.5%17650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the District 3:Trappe, selected other county subdivisions in Maryland, and entities that contain the District 3:Trappe
Female
Male
3x2x1x0x1xFM#10, Laurel29, Surratts76, Spauldings17, Chillum12, Oxon Hl20, LanhamEaston AreaTalbotTalbot County6, Waldorf1321, Berwyn3, Trappe2, Bladensburg1313, Kent14, Bowie6, SavageMarylandBaltimoreSouth Atlantic1South7, Queen Anne95, Piscataway414United States1, Elkridge137, Westminster156412753, Bel Air91, Abingdon118, Bay2282, Frederick586342, Ellicott City5, Clarksville10-1.000000x-1.000000x1.572981x1.572981x1.57x8.787%8.79%13.822%13.8%1-1.000000x-1.000000x1.487054x1.487054x1.49x5.838%5.84%8.681%8.68%2-1.000000x-1.000000x1.363153x1.363153x1.36x5.376%5.38%7.328%7.33%3-1.000000x-1.000000x1.354131x1.354131x1.35x4.890%4.89%6.622%6.62%4-1.000000x-1.000000x1.352121x1.352121x1.35x9.696%9.70%13.110%13.1%5-1.000000x-1.000000x1.339551x1.339551x1.34x31.164%31.2%41.745%41.7%6-1.000000x-1.000000x1.336970x1.336970x1.34x11.997%12.0%16.040%16.0%7-1.000000x-1.000000x1.335098x1.335098x1.34x16.009%16.0%21.373%21.4%8-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.298992x1.298992x1.30x5.766%5.77%7.489%7.49%9-1.000000x-1.000000x1.295617x1.295617x1.30x7.037%7.04%9.117%9.12%10-1.000000x-1.000000x1.285406x1.285406x1.29x7.693%7.69%9.889%9.89%11-1.000000x-1.000000x1.261602x1.261602x1.26x11.818%11.8%14.910%14.9%12-1.000000x-1.000000x1.253382x1.253382x1.25x7.001%7.00%8.775%8.78%-1.000000x-1.000000x1.238195x1.238195x1.24x23.558%23.6%29.169%29.2%13-1.000000x-1.000000x1.237607x1.237607x1.24x15.260%15.3%18.886%18.9%14-1.000000x-1.000000x1.219081x1.219081x1.22x6.814%6.81%8.306%8.31%15-1.000000x-1.000000x1.211931x1.211931x1.21x5.146%5.15%6.236%6.24%16-1.000000x-1.000000x1.210984x1.210984x1.21x5.236%5.24%6.341%6.34%17-1.000000x-1.000000x1.192582x1.192582x1.19x9.516%9.52%11.349%11.3%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%18-1.000000x-1.000000x1.178860x1.178860x1.18x11.819%11.8%13.933%13.9%-1.000000x-1.000000x1.170443x1.170443x1.17x12.040%12.0%14.092%14.1%19-1.000000x-1.000000x1.149925x1.149925x1.15x13.427%13.4%15.440%15.4%-1.000000x-1.000000x1.141281x1.141281x1.14x3.464%3.46%3.954%3.95%20-1.000000x-1.000000x1.132896x1.132896x1.13x6.066%6.07%6.872%6.87%21-1.000000x-1.000000x1.125210x1.125210x1.13x7.449%7.45%8.382%8.38%22-1.000000x-1.000000x1.119563x1.119563x1.12x5.806%5.81%6.500%6.50%23-1.000000x-1.000000x1.113744x1.113744x1.11x9.365%9.37%10.431%10.4%24-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101098x1.101098x1.10x6.910%6.91%7.608%7.61%25-1.000000x-1.000000x1.099563x1.099563x1.10x13.497%13.5%14.841%14.8%26-1.000000x-1.000000x1.087230x1.087230x1.09x9.206%9.21%10.009%10.0%27-1.000000x-1.000000x1.083827x1.083827x1.08x15.302%15.3%16.584%16.6%28-1.000000x-1.000000x1.080508x1.080508x1.08x7.872%7.87%8.506%8.51%29-1.000000x-1.000000x1.053869x1.053869x1.05x7.958%7.96%8.387%8.39%30-1.000000x-1.000000x1.045148x1.045148x1.05x18.511%18.5%19.347%19.3%31-1.000000x-1.000000x1.037469x1.037469x1.04x1.695%1.70%1.759%1.76%32-1.000000x-1.000000x1.033393x1.033393x1.03x10.066%10.1%10.402%10.4%33-1.000000x-1.000000x1.031990x1.031990x1.03x5.161%5.16%5.326%5.33%34-1.000000x-1.000000x1.027137x1.027137x1.03x11.752%11.8%12.071%12.1%35-1.000000x-1.000000x1.006014x1.006014x1.01x7.548%7.55%7.593%7.59%36-1.000000x-1.000000x1.005570x1.005570x1.01x5.955%5.95%5.988%5.99%37-1.010614x-1.010614x1.01x1.000000x1.000000x11.092%11.1%10.975%11.0%38-1.029512x-1.029512x1.03x1.000000x1.000000x11.334%11.3%11.009%11.0%39-1.044669x-1.044669x1.04x1.000000x1.000000x6.708%6.71%6.421%6.42%40-1.056006x-1.056006x1.06x1.000000x1.000000x4.037%4.04%3.822%3.82%41-1.064032x-1.064032x1.06x1.000000x1.000000x9.933%9.93%9.335%9.34%42-1.075604x-1.075604x1.08x1.000000x1.000000x3.564%3.56%3.314%3.31%43-1.084256x-1.084256x1.08x1.000000x1.000000x4.375%4.37%4.035%4.03%44-1.112543x-1.112543x1.11x1.000000x1.000000x3.564%3.56%3.203%3.20%45-1.193747x-1.193747x1.19x1.000000x1.000000x5.169%5.17%4.330%4.33%46-1.332086x-1.332086x1.33x1.000000x1.000000x6.892%6.89%5.174%5.17%47-1.464366x-1.464366x1.46x1.000000x1.000000x5.036%5.04%3.439%3.44%48-1.468868x-1.468868x1.47x1.000000x1.000000x3.079%3.08%2.096%2.10%49-3.101202x-3.101202x3.10x1.000000x1.000000x3.997%4.00%1.289%1.29%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#38

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the District 3:Trappe, selected other county subdivisions in Maryland, and entities that contain the District 3:Trappe
Female
Male
1x0x1x2xFM#Easton AreaTalbotTalbot County3103, Trappe2587463, Bel Air5621, Berwyn82, Ellicott City99420, LanhamSouth5, ClarksvilleUnited States10, LaurelSouth Atlantic11Maryland13147, Westminster12, Frederick7, Queen Anne27Baltimore14, Bowie46, Savage121, Elkridge6, Waldorf2, Bladensburg5, Piscataway6, Spauldings1, Abingdon9, Surratts1313, Kent8, Bay17, Chillum31512, Oxon Hl21-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.250495x2.250495x2.25x6.834%6.83%15.381%15.4%1-1.000000x-1.000000x1.955267x1.955267x1.96x17.764%17.8%34.733%34.7%2-1.000000x-1.000000x1.951236x1.951236x1.95x5.309%5.31%10.360%10.4%-1.000000x-1.000000x1.871952x1.871952x1.87x4.662%4.66%8.728%8.73%3-1.000000x-1.000000x1.838153x1.838153x1.84x4.983%4.98%9.160%9.16%4-1.000000x-1.000000x1.794384x1.794384x1.79x7.514%7.51%13.484%13.5%5-1.000000x-1.000000x1.783115x1.783115x1.78x20.199%20.2%36.017%36.0%6-1.000000x-1.000000x1.755553x1.755553x1.76x12.560%12.6%22.050%22.0%7-1.000000x-1.000000x1.739753x1.739753x1.74x5.702%5.70%9.920%9.92%8-1.000000x-1.000000x1.688070x1.688070x1.69x2.407%2.41%4.064%4.06%9-1.000000x-1.000000x1.661036x1.661036x1.66x5.188%5.19%8.617%8.62%10-1.000000x-1.000000x1.610988x1.610988x1.61x11.816%11.8%19.035%19.0%11-1.000000x-1.000000x1.601655x1.601655x1.60x5.438%5.44%8.711%8.71%12-1.000000x-1.000000x1.588499x1.588499x1.59x7.937%7.94%12.608%12.6%13-1.000000x-1.000000x1.573959x1.573959x1.57x8.632%8.63%13.586%13.6%14-1.000000x-1.000000x1.572655x1.572655x1.57x5.973%5.97%9.393%9.39%15-1.000000x-1.000000x1.568730x1.568730x1.57x6.027%6.03%9.454%9.45%16-1.000000x-1.000000x1.567199x1.567199x1.57x3.562%3.56%5.582%5.58%17-1.000000x-1.000000x1.557570x1.557570x1.56x1.468%1.47%2.286%2.29%18-1.000000x-1.000000x1.555780x1.555780x1.56x2.420%2.42%3.764%3.76%-1.000000x-1.000000x1.535849x1.535849x1.54x11.585%11.6%17.792%17.8%19-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525687x1.525687x1.53x2.929%2.93%4.469%4.47%20-1.000000x-1.000000x1.520688x1.520688x1.52x2.804%2.80%4.265%4.26%-1.000000x-1.000000x1.470978x1.470978x1.47x3.250%3.25%4.780%4.78%21-1.000000x-1.000000x1.469793x1.469793x1.47x4.489%4.49%6.598%6.60%-1.000000x-1.000000x1.424842x1.424842x1.42x8.086%8.09%11.522%11.5%22-1.000000x-1.000000x1.415099x1.415099x1.42x2.011%2.01%2.846%2.85%23-1.000000x-1.000000x1.373638x1.373638x1.37x2.628%2.63%3.610%3.61%24-1.000000x-1.000000x1.364904x1.364904x1.36x4.401%4.40%6.007%6.01%25-1.000000x-1.000000x1.349275x1.349275x1.35x3.559%3.56%4.802%4.80%26-1.000000x-1.000000x1.345199x1.345199x1.35x4.279%4.28%5.757%5.76%27-1.000000x-1.000000x1.323018x1.323018x1.32x2.494%2.49%3.299%3.30%28-1.000000x-1.000000x1.318818x1.318818x1.32x4.243%4.24%5.595%5.60%29-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%30-1.000000x-1.000000x1.278458x1.278458x1.28x5.349%5.35%6.839%6.84%31-1.000000x-1.000000x1.230451x1.230451x1.23x3.208%3.21%3.948%3.95%32-1.000000x-1.000000x1.215561x1.215561x1.22x6.661%6.66%8.096%8.10%33-1.000000x-1.000000x1.198215x1.198215x1.20x0.447%0.45%0.535%0.54%34-1.000000x-1.000000x1.160595x1.160595x1.16x6.550%6.55%7.602%7.60%35-1.000000x-1.000000x1.141296x1.141296x1.14x1.898%1.90%2.166%2.17%36-1.000000x-1.000000x1.099521x1.099521x1.10x1.513%1.51%1.663%1.66%37-1.002646x-1.002646x1.00x1.000000x1.000000x4.009%4.01%3.999%4.00%38-1.024741x-1.024741x1.02x1.000000x1.000000x1.213%1.21%1.183%1.18%39-1.058521x-1.058521x1.06x1.000000x1.000000x2.757%2.76%2.604%2.60%40-1.062614x-1.062614x1.06x1.000000x1.000000x1.898%1.90%1.786%1.79%41-1.170803x-1.170803x1.17x1.000000x1.000000x1.427%1.43%1.219%1.22%42-1.205602x-1.205602x1.21x1.000000x1.000000x3.121%3.12%2.589%2.59%43-1.255360x-1.255360x1.26x1.000000x1.000000x2.621%2.62%2.088%2.09%44-1.329070x-1.329070x1.33x1.000000x1.000000x2.068%2.07%1.556%1.56%45-1.419860x-1.419860x1.42x1.000000x1.000000x1.624%1.62%1.144%1.14%46-1.489501x-1.489501x1.49x1.000000x1.000000x1.267%1.27%0.851%0.85%47-1.585043x-1.585043x1.59x1.000000x1.000000x2.166%2.17%1.366%1.37%48-1.718560x-1.718560x1.72x1.000000x1.000000x2.169%2.17%1.262%1.26%49-1.799096x-1.799096x1.80x1.000000x1.000000x3.540%3.54%1.967%1.97%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the South

There are 8,483 county subdivisions in the South. This section compares the District 3:Trappe to the 50 most populous county subdivisions in the South and to those entities that contain or substantially overlap with the District 3:Trappe. The least populous of the compared county subdivisions has a population of 245,874.

No H.S. Diploma by County Subdivision#39

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the District 3:Trappe, selected other county subdivisions in the South, and entities that contain the District 3:Trappe
0%10%20%30%Count#McAllen-PharrSan Antonio CentralSan Antonio CntrlHialeahSouthwest DallasSW DallasEl PasoHoustonMiamiNortheast DallasNE DallasFort WorthCorpus ChristiOklahoma City SouthwestOklahoma City SWBaltimoreFort LauderdaleJacksonville WestJacksonville WLubbockKendale Lakes-TamiamiKendale Lks-Tami…SouthNew OrleansSoutheast MontgomerySE MontgomeryGreenvilleMontgomery District 1313OrlandoAustinArlingtonLakelandUnited States of AmericaUnited StatesTampaSouth AtlanticBradentonBirminghamNaplesPlantationTownship 1:Charlotte1, CharlotteSan Antonio NortheastSan Antonio NETulsaAtlanta-DecaturSt. PetersburgEaston Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountyBoynton Beach-Delray BeachBoynton Bch-Delra…MarylandNorthwest HarrisNW HarrisWashingtonClearwaterSugar LandAtlantaMiramar-Pembroke PinesMiramar-Pembrok…Jacksonville EastJacksonville ENortheast TarrantNE TarrantLewisville-Flower MoundLewisville-Flower …District 3:Trappe3, TrappeSan Antonio NorthwestSan Antonio NWVirginia BeachVirginia BchRound Rock-GeorgetownRound Rock-Geor…PlanoRoswell-AlpharettaSan Antonio NorthSan Antonio N34.997503%34.997503%35.0%56,77456.8k128.998944%28.998944%29.0%126,922127k224.436641%24.436641%24.4%63,04863.0k323.987048%23.987048%24.0%141,940142k423.756417%23.756417%23.8%81,30881.3k521.922900%21.922900%21.9%457,347457k621.818150%21.818150%21.8%149,688150k720.783651%20.783651%20.8%207,494207k820.041576%20.041576%20.0%106,726107k918.972310%18.972310%19.0%37,36937.4k1018.124903%18.124903%18.1%52,69052.7k1116.548703%16.548703%16.5%69,83969.8k1215.825575%15.825575%15.8%34,86234.9k1315.538346%15.538346%15.5%32,76432.8k1414.939694%14.939694%14.9%23,80723.8k1514.612561%14.612561%14.6%40,20540.2k1614.392758%14.392758%14.4%11,511,24211.5M14.332154%14.332154%14.3%38,00438.0k1714.245108%14.245108%14.2%33,37733.4k1814.242553%14.242553%14.2%26,87026.9k1914.133942%14.133942%14.1%26,06226.1k2013.679368%13.679368%13.7%53,75853.8k2113.668915%13.668915%13.7%78,23878.2k2213.466336%13.466336%13.5%44,37444.4k2313.299066%13.299066%13.3%23,64823.6k2413.020590%13.020590%13.0%27,818,38027.8M12.979618%12.979618%13.0%57,75857.8k2512.827640%12.827640%12.8%5,478,9325.48M12.754550%12.754550%12.8%23,12423.1k2612.190603%12.190603%12.2%36,97837.0k2711.647252%11.647252%11.6%22,69722.7k2811.607748%11.607748%11.6%22,61722.6k2911.553484%11.553484%11.6%61,37861.4k3011.457609%11.457609%11.5%18,29718.3k3111.299086%11.299086%11.3%43,65343.7k3211.251961%11.251961%11.3%28,12028.1k3311.064692%11.064692%11.1%32,23232.2k3410.835880%10.835880%10.8%3,04910.835880%10.835880%10.8%3,04910.835880%10.835880%10.8%3,04910.810572%10.810572%10.8%26,89026.9k3510.382272%10.382272%10.4%420,756421k10.135583%10.135583%10.1%47,67947.7k3610.045421%10.045421%10.0%46,51046.5k379.994526%9.994526%10.0%24,83324.8k389.878481%9.878481%9.9%17,94117.9k399.538552%9.538552%9.5%37,37337.4k408.982536%8.982536%9.0%18,28018.3k418.541427%8.541427%8.5%25,66425.7k428.418271%8.418271%8.4%31,44331.4k438.062948%8.062948%8.1%13,35213.4k447.868852%7.868852%7.9%2647.077331%7.077331%7.1%13,44713.4k456.790677%6.790677%6.8%20,44720.4k466.743657%6.743657%6.7%12,07012.1k475.714681%5.714681%5.7%20,64420.6k485.031804%5.031804%5.0%9,200494.899125%4.899125%4.9%11,02711.0k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#40

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the District 3:Trappe, selected other county subdivisions in the South, and entities that contain the District 3:Trappe
0%20%40%60%Count#Roswell-AlpharettaWashingtonPlanoAtlantaMontgomery District 1313San Antonio NorthSan Antonio NSugar LandAustinLewisville-Flower MoundLewisville-Flower …Round Rock-GeorgetownRound Rock-Geor…Township 1:Charlotte1, CharlotteDistrict 3:Trappe3, TrappeNortheast TarrantNE TarrantAtlanta-DecaturMarylandSan Antonio NorthwestSan Antonio NWNorthwest HarrisNW HarrisNew OrleansEaston Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountyNaplesGreenvilleJacksonville EastJacksonville ESoutheast MontgomerySE MontgomeryVirginia BeachVirginia BchBoynton Beach-Delray BeachBoynton Bch-Delra…Northeast DallasNE DallasTampaMiramar-Pembroke PinesMiramar-Pembrok…ArlingtonTulsaSouth AtlanticUnited States of AmericaUnited StatesBirminghamHoustonFort LauderdaleBaltimorePlantationKendale Lakes-TamiamiKendale Lks-Tami…St. PetersburgOrlandoSouthLubbockClearwaterOklahoma City SouthwestOklahoma City SWMiamiBradentonFort WorthSouthwest DallasSW DallasSan Antonio NortheastSan Antonio NELakelandEl PasoCorpus ChristiMcAllen-PharrJacksonville WestJacksonville WHialeahSan Antonio CentralSan Antonio Cntrl61.844156%61.844156%61.8%113,074113k155.360186%55.360186%55.4%256,316256k254.142756%54.142756%54.1%195,588196k349.803731%49.803731%49.8%195,136195k448.811506%48.811506%48.8%90,00590.0k548.110236%48.110236%48.1%108,287108k647.624947%47.624947%47.6%86,49586.5k744.843364%44.843364%44.8%256,674257k843.462140%43.462140%43.5%71,97272.0k943.301878%43.301878%43.3%77,50377.5k1041.989192%41.989192%42.0%223,068223k1140.387481%40.387481%40.4%1,35538.547398%38.547398%38.5%143,978144k1238.537165%38.537165%38.5%96,30996.3k1338.412279%38.412279%38.4%1,556,7111.56M37.750854%37.750854%37.8%71,72771.7k1436.877886%36.877886%36.9%173,478173k1536.177338%36.177338%36.2%95,93095.9k1635.834103%35.834103%35.8%10,08310.1k35.834103%35.834103%35.8%10,08310.1k35.834103%35.834103%35.8%10,08310.1k35.153179%35.153179%35.2%68,50368.5k1734.976148%34.976148%35.0%65,98666.0k1834.940176%34.940176%34.9%104,983105k1934.591665%34.591665%34.6%81,05081.1k2034.242322%34.242322%34.2%103,105103k2133.265122%33.265122%33.3%82,74382.7k2233.191099%33.191099%33.2%331,364331k2332.512191%32.512191%32.5%144,676145k2431.727811%31.727811%31.7%64,56864.6k2531.687192%31.687192%31.7%104,415104k2631.110082%31.110082%31.1%120,191120k2730.457708%30.457708%30.5%13,009,07313.0M30.315023%30.315023%30.3%64,767,78764.8M30.137605%30.137605%30.1%91,41791.4k2830.080133%30.080133%30.1%627,520628k2929.926596%29.926596%29.9%65,92565.9k3029.719611%29.719611%29.7%125,423125k3129.455872%29.455872%29.5%57,39357.4k3229.361416%29.361416%29.4%80,78580.8k3328.933249%28.933249%28.9%84,28484.3k3428.535877%28.535877%28.5%112,142112k3528.191926%28.191926%28.2%22,547,73422.5M28.088407%28.088407%28.1%44,76044.8k3626.866453%26.866453%26.9%66,75466.8k3726.442614%26.442614%26.4%76,87076.9k3826.011156%26.011156%26.0%178,455178k3925.173745%25.173745%25.2%45,64045.6k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4222.357273%22.357273%22.4%35,70335.7k4321.795441%21.795441%21.8%38,75638.8k4421.071885%21.071885%21.1%72,12072.1k4520.020207%20.020207%20.0%39,43339.4k4618.628678%18.628678%18.6%30,22030.2k4718.132496%18.132496%18.1%38,23438.2k4817.544166%17.544166%17.5%45,26545.3k4914.929012%14.929012%14.9%65,34165.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#41

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the District 3:Trappe, selected other county subdivisions in the South, and entities that contain the District 3:Trappe
0%5%10%Count#WashingtonMontgomery District 1313District 3:Trappe3, TrappeAtlantaNew OrleansAtlanta-DecaturSan Antonio NorthSan Antonio NEaston Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountyMarylandRoswell-AlpharettaNaplesAustinSugar LandBaltimoreBirminghamPlanoTampaMiamiGreenvilleNortheast DallasNE DallasSan Antonio NorthwestSan Antonio NWHoustonFort LauderdaleBoynton Beach-Delray BeachBoynton Bch-Delra…St. PetersburgLubbockSouth AtlanticTownship 1:Charlotte1, CharlotteSoutheast MontgomerySE MontgomeryKendale Lakes-TamiamiKendale Lks-Tami…United States of AmericaUnited StatesRound Rock-GeorgetownRound Rock-Geor…Miramar-Pembroke PinesMiramar-Pembrok…Jacksonville EastJacksonville EPlantationTulsaSouthOklahoma City SouthwestOklahoma City SWBradentonVirginia BeachVirginia BchOrlandoLewisville-Flower MoundLewisville-Flower …Northwest HarrisNW HarrisNortheast TarrantNE TarrantClearwaterArlingtonFort WorthCorpus ChristiSan Antonio CentralSan Antonio CntrlEl PasoLakelandSouthwest DallasSW DallasMcAllen-PharrHialeahSan Antonio NortheastSan Antonio NEJacksonville WestJacksonville W12.461852%12.461852%12.5%57,69857.7k19.714577%9.714577%9.7%17,91317.9k27.779434%7.779434%7.8%2616.889819%6.889819%6.9%26,99527.0k36.270412%6.270412%6.3%16,62716.6k46.076539%6.076539%6.1%15,18615.2k55.942305%5.942305%5.9%13,37513.4k65.878172%5.878172%5.9%1,6545.878172%5.878172%5.9%1,6545.878172%5.878172%5.9%1,6545.485611%5.485611%5.5%222,312222k5.309100%5.309100%5.3%9,70775.139837%5.139837%5.1%10,01610.0k85.058711%5.058711%5.1%28,95529.0k94.960989%4.960989%5.0%9,010104.934352%4.934352%4.9%20,82420.8k114.721559%4.721559%4.7%14,32214.3k124.617088%4.617088%4.6%16,67916.7k134.325266%4.325266%4.3%19,24719.2k144.025531%4.025531%4.0%27,61827.6k153.863564%3.863564%3.9%7,289163.827408%3.827408%3.8%38,21138.2k173.759454%3.759454%3.8%7,143183.737871%3.737871%3.7%77,97878.0k193.710580%3.710580%3.7%8,174203.615049%3.615049%3.6%8,992213.553664%3.553664%3.6%10,35210.4k223.526739%3.526739%3.5%5,620233.501306%3.501306%3.5%1,495,4751.50M3.490252%3.490252%3.5%18,54218.5k243.407524%3.407524%3.4%7,984253.378644%3.378644%3.4%9,296263.336158%3.336158%3.3%7,127,6737.13M3.267908%3.267908%3.3%5,849273.184181%3.184181%3.2%6,480283.169754%3.169754%3.2%9,524293.148160%3.148160%3.1%6,134303.140490%3.140490%3.1%12,13312.1k313.064699%3.064699%3.1%2,451,1282.45M3.055675%3.055675%3.1%8,883323.000552%3.000552%3.0%5,440332.952136%2.952136%3.0%8,889342.893233%2.893233%2.9%11,37011.4k352.699324%2.699324%2.7%4,470362.682967%2.682967%2.7%12,62112.6k372.630994%2.630994%2.6%9,827382.580232%2.580232%2.6%6,411392.387426%2.387426%2.4%7,867402.173239%2.173239%2.2%11,57311.6k412.149102%2.149102%2.1%4,233421.792414%1.792414%1.8%7,845431.745764%1.745764%1.7%5,975441.718058%1.718058%1.7%3,055451.704476%1.704476%1.7%10,08610.1k461.639102%1.639102%1.6%2,659471.605389%1.605389%1.6%4,142481.527932%1.527932%1.5%2,440491.342129%1.342129%1.3%2,83050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the District 3:Trappe, selected other county subdivisions in the South, and entities that contain the District 3:Trappe
Female
Male
1x0x1xFM#Easton AreaTalbotTalbot County1, CharlotteBirmingham3, TrappeLakelandRound Rock-GeorgetownRound Rock-Geor…ClearwaterBradentonMarylandOklahoma City SWAtlanta-DecaturBaltimoreSouth AtlanticTulsaNew OrleansSW DallasNaplesSouthJacksonville EGreenvilleBoynton Bch-Delray BchBoynton Bch-Delra…Roswell-AlpharettaArlingtonJacksonville WSt. PetersburgUnited StatesNE Dallas13HoustonOrlandoPlantationAustinAtlantaFort WorthSE MontgomeryWashingtonNE TarrantTampaNW HarrisPlanoLubbockSan Antonio CntrlFort LauderdaleLewisville-Flower MoundLewisville-Flower …San Antonio NWCorpus ChristiSugar LandSan Antonio NEVirginia BchMiamiKendale Lks-TamiamiKendale Lks-Tami…Miramar-Pembroke PnesMiramar-Pembrok…San Antonio NHialeahMcAllen-PharrEl Paso-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.264276x1.264276x1.26x10.896%10.9%13.776%13.8%2-1.000000x-1.000000x1.253382x1.253382x1.25x7.001%7.00%8.775%8.78%-1.000000x-1.000000x1.240841x1.240841x1.24x11.931%11.9%14.805%14.8%3-1.000000x-1.000000x1.235572x1.235572x1.24x6.055%6.06%7.482%7.48%4-1.000000x-1.000000x1.213223x1.213223x1.21x9.081%9.08%11.018%11.0%5-1.000000x-1.000000x1.193769x1.193769x1.19x11.694%11.7%13.960%14.0%6-1.000000x-1.000000x1.192582x1.192582x1.19x9.516%9.52%11.349%11.3%-1.000000x-1.000000x1.189218x1.189218x1.19x16.606%16.6%19.748%19.7%7-1.000000x-1.000000x1.187413x1.187413x1.19x10.371%10.4%12.315%12.3%8-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%9-1.000000x-1.000000x1.178860x1.178860x1.18x11.819%11.8%13.933%13.9%-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%10-1.000000x-1.000000x1.161502x1.161502x1.16x13.321%13.3%15.473%15.5%11-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%12-1.000000x-1.000000x1.157986x1.157986x1.16x10.835%10.8%12.547%12.5%13-1.000000x-1.000000x1.149925x1.149925x1.15x13.427%13.4%15.440%15.4%-1.000000x-1.000000x1.149052x1.149052x1.15x7.979%7.98%9.168%9.17%14-1.000000x-1.000000x1.147647x1.147647x1.15x13.313%13.3%15.278%15.3%15-1.000000x-1.000000x1.137885x1.137885x1.14x10.157%10.2%11.557%11.6%16-1.000000x-1.000000x1.128353x1.128353x1.13x4.738%4.74%5.347%5.35%17-1.000000x-1.000000x1.126660x1.126660x1.13x12.695%12.7%14.303%14.3%18-1.000000x-1.000000x1.123144x1.123144x1.12x14.697%14.7%16.507%16.5%19-1.000000x-1.000000x1.121546x1.121546x1.12x10.462%10.5%11.733%11.7%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%21-1.000000x-1.000000x1.099563x1.099563x1.10x13.497%13.5%14.841%14.8%22-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%23-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%24-1.000000x-1.000000x1.088600x1.088600x1.09x11.159%11.2%12.147%12.1%25-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%26-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%27-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%28-1.000000x-1.000000x1.066176x1.066176x1.07x13.799%13.8%14.712%14.7%29-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%30-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%31-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%32-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%33-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%34-1.000000x-1.000000x1.011066x1.011066x1.01x14.860%14.9%15.025%15.0%35-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%36-1.001551x-1.001551x1.00x1.000000x1.000000x15.838%15.8%15.814%15.8%37-1.003054x-1.003054x1.00x1.000000x1.000000x8.075%8.07%8.050%8.05%38-1.005245x-1.005245x1.01x1.000000x1.000000x7.095%7.09%7.058%7.06%39-1.015402x-1.015402x1.02x1.000000x1.000000x19.112%19.1%18.822%18.8%40-1.017292x-1.017292x1.02x1.000000x1.000000x9.961%9.96%9.791%9.79%41-1.028531x-1.028531x1.03x1.000000x1.000000x11.609%11.6%11.287%11.3%42-1.030721x-1.030721x1.03x1.000000x1.000000x6.889%6.89%6.684%6.68%43-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%44-1.040415x-1.040415x1.04x1.000000x1.000000x14.885%14.9%14.307%14.3%45-1.050041x-1.050041x1.05x1.000000x1.000000x9.180%9.18%8.742%8.74%46-1.058446x-1.058446x1.06x1.000000x1.000000x5.033%5.03%4.755%4.76%47-1.065426x-1.065426x1.07x1.000000x1.000000x25.153%25.2%23.608%23.6%48-1.083505x-1.083505x1.08x1.000000x1.000000x36.296%36.3%33.498%33.5%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#43

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the District 3:Trappe, selected other county subdivisions in the South, and entities that contain the District 3:Trappe
Female
Male
1x0x1x2xFM#Easton AreaTalbotTalbot CountyNaplesBoynton Bch-Delray BchBoynton Bch-Delra…El PasoBradenton3, TrappeSan Antonio NSugar LandLubbockRoswell-AlpharettaSE MontgomeryPlanoFort LauderdaleBirminghamTulsaMcAllen-PharrOklahoma City SWRound Rock-GeorgetownRound Rock-Geor…NE DallasFort WorthLakelandGreenvilleOrlandoClearwaterArlingtonVirginia Bch1, CharlotteJacksonville ENW HarrisSan Antonio NWSouthSan Antonio CntrlUnited StatesPlantationSouth AtlanticNE TarrantTampaMarylandNew Orleans13HoustonJacksonville WMiramar-Pembroke PnesMiramar-Pembrok…San Antonio NEMiamiAtlantaKendale Lks-TamiamiKendale Lks-Tami…St. PetersburgAustinBaltimoreWashingtonSW DallasLewisville-Flower MoundLewisville-Flower …Corpus ChristiAtlanta-DecaturHialeah-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.536056x2.536056x2.54x2.973%2.97%7.540%7.54%1-1.000000x-1.000000x2.399964x2.399964x2.40x2.186%2.19%5.247%5.25%2-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%3-1.000000x-1.000000x2.019317x2.019317x2.02x2.032%2.03%4.103%4.10%4-1.000000x-1.000000x1.951236x1.951236x1.95x5.309%5.31%10.360%10.4%-1.000000x-1.000000x1.896172x1.896172x1.90x4.150%4.15%7.868%7.87%5-1.000000x-1.000000x1.889798x1.889798x1.89x3.466%3.47%6.550%6.55%6-1.000000x-1.000000x1.872373x1.872373x1.87x2.482%2.48%4.647%4.65%7-1.000000x-1.000000x1.840991x1.840991x1.84x3.777%3.78%6.953%6.95%8-1.000000x-1.000000x1.828432x1.828432x1.83x2.426%2.43%4.436%4.44%9-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%10-1.000000x-1.000000x1.768937x1.768937x1.77x2.649%2.65%4.687%4.69%11-1.000000x-1.000000x1.734414x1.734414x1.73x3.550%3.55%6.157%6.16%12-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%13-1.000000x-1.000000x1.720071x1.720071x1.72x1.229%1.23%2.113%2.11%14-1.000000x-1.000000x1.712434x1.712434x1.71x2.273%2.27%3.892%3.89%15-1.000000x-1.000000x1.706530x1.706530x1.71x2.437%2.44%4.159%4.16%16-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%17-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%18-1.000000x-1.000000x1.676519x1.676519x1.68x1.300%1.30%2.179%2.18%19-1.000000x-1.000000x1.664870x1.664870x1.66x2.939%2.94%4.893%4.89%20-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%21-1.000000x-1.000000x1.652213x1.652213x1.65x1.973%1.97%3.260%3.26%22-1.000000x-1.000000x1.643313x1.643313x1.64x1.824%1.82%2.998%3.00%23-1.000000x-1.000000x1.631304x1.631304x1.63x2.267%2.27%3.699%3.70%24-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%25-1.000000x-1.000000x1.594468x1.594468x1.59x2.474%2.47%3.944%3.94%26-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%27-1.000000x-1.000000x1.564822x1.564822x1.56x2.963%2.96%4.637%4.64%28-1.000000x-1.000000x1.555780x1.555780x1.56x2.420%2.42%3.764%3.76%-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%29-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.524632x1.524632x1.52x2.542%2.54%3.876%3.88%30-1.000000x-1.000000x1.520688x1.520688x1.52x2.804%2.80%4.265%4.26%-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%31-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%32-1.000000x-1.000000x1.469793x1.469793x1.47x4.489%4.49%6.598%6.60%-1.000000x-1.000000x1.457008x1.457008x1.46x5.162%5.16%7.521%7.52%33-1.000000x-1.000000x1.424842x1.424842x1.42x8.086%8.09%11.522%11.5%34-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%35-1.000000x-1.000000x1.411522x1.411522x1.41x1.127%1.13%1.590%1.59%36-1.000000x-1.000000x1.408328x1.408328x1.41x2.689%2.69%3.787%3.79%37-1.000000x-1.000000x1.406466x1.406466x1.41x1.282%1.28%1.803%1.80%38-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%39-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%40-1.000000x-1.000000x1.391182x1.391182x1.39x2.853%2.85%3.969%3.97%41-1.000000x-1.000000x1.379690x1.379690x1.38x3.011%3.01%4.155%4.15%42-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%43-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%44-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%45-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%46-1.000000x-1.000000x1.241373x1.241373x1.24x2.420%2.42%3.004%3.00%47-1.000000x-1.000000x1.199027x1.199027x1.20x1.961%1.96%2.351%2.35%48-1.000000x-1.000000x1.133769x1.133769x1.13x5.729%5.73%6.496%6.50%49-1.000000x-1.000000x1.087878x1.087878x1.09x1.543%1.54%1.678%1.68%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the District 3:Trappe to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the District 3:Trappe. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#44

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the District 3:Trappe, selected other county subdivisions in the United States, and entities that contain the District 3:Trappe
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixSouthBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSouth AtlanticSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEaston Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountySalt Lake CitySalt Lk CityTown of HempsteadHempsteadMarylandNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantDistrict 3:Trappe3, TrappePlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.392758%14.392758%14.4%11,511,24211.5M14.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.827640%12.827640%12.8%5,478,9325.48M12.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.835880%10.835880%10.8%3,04910.835880%10.835880%10.8%3,04910.835880%10.835880%10.8%3,04910.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.382272%10.382272%10.4%420,756421k10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.868852%7.868852%7.9%2645.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#45

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the District 3:Trappe, selected other county subdivisions in the United States, and entities that contain the District 3:Trappe
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteDistrict 3:Trappe3, TrappeTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantMarylandNorthwest HarrisNW HarrisChicagoEaston Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountyColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensSouth AtlanticUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoSouthEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1240.387481%40.387481%40.4%1,35538.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1538.412279%38.412279%38.4%1,556,7111.56M36.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1735.834103%35.834103%35.8%10,08310.1k35.834103%35.834103%35.8%10,08310.1k35.834103%35.834103%35.8%10,08310.1k34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.457708%30.457708%30.5%13,009,07313.0M30.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3628.191926%28.191926%28.2%22,547,73422.5M27.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#46

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the District 3:Trappe, selected other county subdivisions in the United States, and entities that contain the District 3:Trappe
0%5%10%Count#WashingtonManhattanDistrict 3:Trappe3, TrappeSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastEaston Metro AreaEaston AreaTalbot CountyTalbotTalbot County Public SchoolsTalbot CountyDenverMarylandSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlySouth AtlanticTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaSouthPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.779434%7.779434%7.8%2617.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.878172%5.878172%5.9%1,6545.878172%5.878172%5.9%1,6545.878172%5.878172%5.9%1,6545.725842%5.725842%5.7%26,81226.8k95.485611%5.485611%5.5%222,312222k5.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.501306%3.501306%3.5%1,495,4751.50M3.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.064699%3.064699%3.1%2,451,1282.45M3.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the District 3:Trappe, selected other county subdivisions in the United States, and entities that contain the District 3:Trappe
Female
Male
1x0x1xFM#Easton AreaTalbotTalbot County1, Charlotte3, TrappeDetroitMarylandBaltimoreSouth AtlanticTulsaSW DallasSouthFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.306427x1.306427x1.31x9.489%9.49%12.396%12.4%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.253382x1.253382x1.25x7.001%7.00%8.775%8.78%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.192582x1.192582x1.19x9.516%9.52%11.349%11.3%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.178860x1.178860x1.18x11.819%11.8%13.933%13.9%-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.149925x1.149925x1.15x13.427%13.4%15.440%15.4%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#48

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the District 3:Trappe, selected other county subdivisions in the United States, and entities that contain the District 3:Trappe
Female
Male
1x0x1x2xFM#Easton AreaTalbotTalbot CountyEl PasoSalt Lk City3, TrappePlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteNW HarrisLas VegasSeattle EastSouthSan Antonio CntrlSan DiegoUnited StatesSouth AtlanticSan JoseHempsteadFresnoNE TarrantTampaMarylandSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.858566x2.858566x2.86x3.159%3.16%9.029%9.03%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.951236x1.951236x1.95x5.309%5.31%10.360%10.4%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.555780x1.555780x1.56x2.420%2.42%3.764%3.76%-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.520688x1.520688x1.52x2.804%2.80%4.265%4.26%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.469793x1.469793x1.47x4.489%4.49%6.598%6.60%-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

Educational attainment is reported in terms of the highest level of education obtained by persons aged 25 years and older. On this page, we report on both detailed and coarse categorizations of the levels of education in the population. The detailed levels of educational attainment are as follows:

  • None: no formal education at all
  • Less than High School: some education, but stopped short of high school
  • Some High School: some high school education, but no high school diploma (or equivalent)
  • Some College: high school diploma (or equivalent), and some college, but no post-secondary degree
  • Associate's Degree: highest post-secondary degree is an associate's degree (including occupational or academic degrees)
  • Bachelor's Degree: highest post-secondary degree is a bachelor's degree (e.g., BA, BS, AB)
  • Master's Degree: highest post-secondary degree is a master's degree (e.g., MA, MS, MENG, MSW)
  • Professional Degree: highest post-secondary degree is a professional degree (e.g., MD, DDC, JD)
  • Doctorate Degree: highest post-secondary degree is a doctorate degree (e.g., PhD, EdD)

The coarse levels of educational attainment are as follows:

  • No High School Diploma: does not have a high school diploma or equivalent
  • High School Diploma: has a high school diploma or equivalent and possibly some college, but no post-secondary degrees
  • Higher Degree: has some post-secondary degree (associate's, bachelor's, master's, professional, doctorate)

For additional information about the data presented on this site, including our sources, please see the About Page.

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State:
Maryland
County:
Talbot
Metro Area:
Easton Area
Towns:
Oxford, Trappe
ZIP Codes:
21601, 21654, 21673
Unified School District:
Talbot County
Congressional District:
MD-1
State Senate District:
MD-37
State Legislative Subdistrict:
MD-37B
Neighboring Districts:
4, Preston, 2, East New Market, 7, Cambridge, 8, Neck, 14, Linkwood, 15, Hurlock, 1, Easton, 2, St. Michaels
Nearby Districts:
5, Federalsburg, 8, American Corner, 3, Vienna, 9, Church Creek, 12, Williamsburg, 13, Bucktown, 16, Madison, 17, Salem, 4, Chapel, 5, Bay Hundred