Educational Attainment in the Empire Township, Andrew County, Missouri (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Andrew County and the Empire Township
Empire Township
Andrew County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma222.891566%30.020825%22.891566%22.9%7661.445783%60.583090%61.445783%61.4%20415.662651%9.396085%15.662651%15.7%52
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 Andrew County at large.
Scope: population of Andrew County and the Empire Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-23.747710%-23.747710%-23.7%22.892%22.9%30.021%30.0%1.423983%1.423983%+1.4%61.446%61.4%60.583%60.6%66.693369%66.693369%+66.7%15.663%15.7%9.396%9.40%
% percentage with given level in the Empire Township
ref. percentage with given level in Andrew 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 Andrew County and the Empire Township
Empire Township
Andrew County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.333195%02.409639%0.849646%2.409639%2.4%85.120482%7.263640%5.120482%5.1%179.939759%15.535194%9.939759%9.9%335.421687%6.039150%5.421687%5.4%1818.373494%22.182424%18.373494%18.4%6143.072289%38.400666%43.072289%43.1%1433.915663%6.122449%3.915663%3.9%1310.240964%2.907122%10.240964%10.2%341.506024%0.366514%1.506024%1.5%5
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 Andrew County at large.
Scope: population of Andrew County and the Empire Township
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.333%0.33%183.605008%183.605008%+183.6%2.410%2.41%0.850%0.85%-29.505292%-29.505292%-29.5%5.120%5.12%7.264%7.26%-36.017798%-36.017798%-36.0%9.940%9.94%15.535%15.5%-10.224346%-10.224346%-10.2%5.422%5.42%6.039%6.04%-17.170937%-17.170937%-17.2%18.373%18.4%22.182%22.2%12.165473%12.165473%+12.2%43.072%43.1%38.401%38.4%-36.044177%-36.044177%-36.0%3.916%3.92%6.122%6.12%252.271550%252.271550%+252.3%10.241%10.2%2.907%2.91%310.904984%310.904984%+310.9%1.506%1.51%0.367%0.37%
% percentage with given level in the Empire Township
ref. percentage with given level in Andrew 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 Andrew County and the Empire Township
More Females More Males
Andrew County
Empire Township
0%200%400%600%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-26.251337%16.079371%16.079371%16%21.264%21.3%24.684%24.7%-59.521591%-59.521591%60%4.920908%74.713%74.7%46.835%46.8%607.956600%54.118770%607.956600%608%4.023%4.02%28.481%28.5%
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 Andrew County and the Empire Township
More Females More Males
Andrew County
Empire Township
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-172.413793%-172.413793%172%181.516797%3.448%3.45%1.266%1.27%-26.774875%23.892405%23.892405%24%4.598%4.60%5.696%5.70%-8.965517%-11.860761%-8.965517%9%10.345%10.3%9.494%9.49%-103.336606%186.329114%186.329114%186%2.874%2.87%8.228%8.23%-100.725953%-100.725953%101%0.231160%24.138%24.1%12.025%12.0%-45.287356%-45.287356%45%7.728210%50.575%50.6%34.810%34.8%147.784810%46.035305%147.784810%148%2.299%2.30%5.696%5.70%1,000.000000%93.282021%1,000.000000%> 1000%0.000%0%21.519%21.5%-36.206897%-49.102257%-36.206897%36%1.724%1.72%1.266%1.27%
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 Andrew County and the Empire Township
Empire Township
Andrew County
0%5%10%15%20%25%30%35%B.X.Total65+45-6435-4425-342.919708%12.022584%2.919708%2.9%41378.943089%14.062817%8.943089%8.9%1112316.666667%24.439359%16.666667%16.7%74236.666667%14.674493%36.666667%36.7%1130
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 Andrew County at large.
Scope: population of Andrew County and the Empire Township
50%0%50%100%%ref.65+45-6435-4425-34-75.714804%-75.714804%75.7%2.920%2.92%12.023%12.0%-36.406129%-36.406129%36.4%8.943%8.94%14.063%14.1%-31.803995%-31.803995%31.8%16.667%16.7%24.439%24.4%149.866667%149.866667%149.9%36.667%36.7%14.674%14.7%
% percentage in the Empire Township with a Bachelor's degree
ref percentage in Andrew 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 Andrew County and the Empire Township
More Females More Males
Andrew County
Empire Township
400%200%0%200%400%FM65+45-6435-4425-3417.460317%57.224087%17.460317%17.5%2.703%2.70%3.175%3.17%-404.310345%-9.225029%-404.310345%404.3%15.517%15.5%3.077%3.08%-53.846154%-59.077625%-53.846154%53.8%19.231%19.2%12.500%12.5%-39.559128%414.285714%414.285714%414.3%12.500%12.5%64.286%64.3%
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 Andrew County and the Empire Township
Empire Township
Andrew County
$0k$50k$100kCount%Graduate Degree1Some CollegeH.S. Diploma2No H.S. Diploma2Total$49,286.000000$45,946.000000$49,286.000000$49.3k257.530%7.53%$29,375.000000$31,398.000000$29,375.000000$29.4k7923.795%23.8%$40,000.000000$31,830.000000$40,000.000000$40.0k14343.072%43.1%$103,317.000000$29,491.000000$103,317.000000$103.3k5215.663%15.7%$44,167.000000$35,330.000000$44,167.000000$44.2k332100.000%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 Andrew County and the Empire Township
Female Male
Andrew County
Empire Township
Shaded bar tips show excess over facing bar.
$0k$50kFMGraduate Degree1Total$-48,958.000000$-44,635.000000$-3,678.000000$-48,958.000000$49.0k$48,958.000000$22,292.000000$44,635.000000$71,250.000000$71.3k1411$-31,667.000000$-29,265.000000$-31,667.000000$31.7k$31,667.000000$34,583.000000$29,265.000000$12,699.000000$66,250.000000$66.3k174158
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

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Andrew County and the Empire Township
Empire Township
Andrew County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma379.166667%83.070539%79.166667%79.2%3867.142857%79.970326%67.142857%67.1%4784.375000%75.655762%84.375000%84.4%5469.230769%45.252525%69.230769%69.2%9
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#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Andrew County and the Empire Township
Female Male
Andrew County
Empire Township
Shaded bar tips show excess over facing bar.
5%0%5%10%15%20%25%MFWhite1-4.191617%-7.512997%-4.191617%4.2%4.191617%24.289396%7.512997%3.962998%28.481013%28.5%457
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Andrew County and the Empire Township
Female Male
Andrew County
Empire Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1-16.455696%-2.705980%-21.185079%-2.762598%-19.161677%19.2%16.455696%21.185079%16.455696%16.5%2632
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the St. Joseph Area

There are 40 county subdivisions in the St. Joseph Area. This section compares the Empire Township to all of the county subdivisions in the St. Joseph Area and to those entities that contain or substantially overlap with the Empire Township.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Empire Township, selected other county subdivisions in the St. Joseph Area, and entities that contain the Empire Township
0%5%10%15%20%Count#Grand River TownshipGrand RivClay TownshipLincoln TownshipLincolnWayne TownshipWayneMarion TownshipMarionEmpire TownshipEmpireAdams TownshipAdamsWolf River TownshipWolf RivBloomington TownshipBloomingtonWashington TownshipWashingtonBenton TownshipBentonUnited States of AmericaUnited StatesJackson TownshipJacksonSt. Joseph Metro AreaSt. JosephCenter TownshipCtrRush TownshipMissouri010400Tract 010400Washington TownshipWashingtonMidwestMarion TownshipMarionRochester TownshipRochesterColfax TownshipColfaxAndrew CountyAndrewWest North CentralNodaway TownshipNodawayWashington TownshipWashingtonCenter TownshipCtrJefferson TownshipJeffersonCrawford TownshipCrawfordIowa TownshipPolk TownshipAgency TownshipAgencySherman TownshipShermanCamden TownshipCamdenMonroe TownshipMonroePlatte TownshipPlatteJackson TownshipJacksonIndependence TownshipIndependencePlatte TownshipPlatteGrant TownshipGrantWayne TownshipWayneUnion TownshipUnionTremont TownshipTremontDallas TownshipDallasBurr Oak TownshipBurr OakLake Township21.013865%21.013865%21.0%970119.369369%19.369369%19.4%43217.173052%17.173052%17.2%130316.211878%16.211878%16.2%101415.909091%15.909091%15.9%28515.662651%15.662651%15.7%52615.107914%15.107914%15.1%63714.146341%14.146341%14.1%29813.711584%13.711584%13.7%58913.448887%13.448887%13.4%7,0531013.024602%13.024602%13.0%901113.020590%13.020590%13.0%27,818,38027.8M12.621359%12.621359%12.6%521212.276360%12.276360%12.3%10,61510.6k12.156167%12.156167%12.2%1371311.544992%11.544992%11.5%681411.167196%11.167196%11.2%454,882455k10.792350%10.792350%10.8%23710.278171%10.278171%10.3%2181510.244520%10.244520%10.2%4,641,8354.64M10.092961%10.092961%10.1%761610.071942%10.071942%10.1%84179.854015%9.854015%9.9%54189.396085%9.396085%9.4%1,1289.174633%9.174633%9.2%1,278,0511.28M8.702461%8.702461%8.7%389198.100358%8.100358%8.1%113207.869742%7.869742%7.9%174217.267267%7.267267%7.3%242227.264957%7.264957%7.3%51237.206068%7.206068%7.2%57247.053942%7.053942%7.1%34256.659267%6.659267%6.7%60266.315789%6.315789%6.3%24276.100796%6.100796%6.1%69285.663430%5.663430%5.7%35294.878049%4.878049%4.9%12304.536082%4.536082%4.5%22314.347826%4.347826%4.3%7323.244838%3.244838%3.2%11331.577287%1.577287%1.6%5341.226994%1.226994%1.2%2350.701754%0.701754%0.7%2360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%040
Count number of people in category
# rank of county subdivision out of 40 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Empire Township, selected other county subdivisions in the St. Joseph Area, and entities that contain the Empire Township
0%10%20%30%40%Count#Burr Oak TownshipBurr OakTremont TownshipTremontSherman TownshipShermanIndependence TownshipIndependenceUnited States of AmericaUnited StatesWest North CentralJefferson TownshipJeffersonPlatte TownshipPlatteMidwestCrawford TownshipCrawfordMissouriMarion TownshipMarionWayne TownshipWayneMonroe TownshipMonroeRochester TownshipRochesterAndrew CountyAndrewCamden TownshipCamdenUnion TownshipUnionAdams TownshipAdamsNodaway TownshipNodawayColfax TownshipColfaxJackson TownshipJacksonWashington TownshipWashington010400Tract 010400Center TownshipCtrSt. Joseph Metro AreaSt. JosephDallas TownshipDallasPlatte TownshipPlatteLincoln TownshipLincolnClay TownshipAgency TownshipAgencyEmpire TownshipEmpireWashington TownshipWashingtonIowa TownshipBenton TownshipBentonCenter TownshipCtrWolf River TownshipWolf RivWayne TownshipWayneBloomington TownshipBloomingtonPolk TownshipMarion TownshipMarionWashington TownshipWashingtonGrant TownshipGrantRush TownshipJackson TownshipJacksonGrand River TownshipGrand RivLake Township48.091603%48.091603%48.1%63135.581395%35.581395%35.6%153233.947368%33.947368%33.9%129331.677019%31.677019%31.7%51430.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.909910%29.909910%29.9%996529.268293%29.268293%29.3%72628.952816%28.952816%29.0%13,118,64213.1M27.777778%27.777778%27.8%195727.634687%27.634687%27.6%1,125,6651.13M26.427623%26.427623%26.4%199826.380368%26.380368%26.4%43925.728155%25.728155%25.7%1591025.299760%25.299760%25.3%2111123.981674%23.981674%24.0%2,87923.872679%23.872679%23.9%2701223.859649%23.859649%23.9%681322.541966%22.541966%22.5%941422.460850%22.460850%22.5%1,0041522.262774%22.262774%22.3%1221621.116505%21.116505%21.1%871720.553744%20.553744%20.6%10,77910.8k1820.309654%20.309654%20.3%44620.126640%20.126640%20.1%4451919.996068%19.996068%20.0%17,29017.3k19.895288%19.895288%19.9%382019.469027%19.469027%19.5%662119.286658%19.286658%19.3%1462218.468468%18.468468%18.5%412317.869034%17.869034%17.9%1612417.469880%17.469880%17.5%582517.275986%17.275986%17.3%2412616.814159%16.814159%16.8%1332716.063676%16.063676%16.1%1112815.705413%15.705413%15.7%1772915.609756%15.609756%15.6%323015.248796%15.248796%15.2%953114.893617%14.893617%14.9%633214.522822%14.522822%14.5%703314.204545%14.204545%14.2%253413.154173%13.154173%13.2%2793510.410095%10.410095%10.4%33368.828523%8.828523%8.8%52378.041237%8.041237%8.0%39386.282496%6.282496%6.3%290390.000000%0.000000%0.0%040
Count number of people in category
# rank of county subdivision out of 40 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

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 Empire Township, selected other county subdivisions in the St. Joseph Area, and entities that contain the Empire Township
0%2%4%6%8%Count#Platte TownshipPlatteIndependence TownshipIndependenceTremont TownshipTremontUnited States of AmericaUnited StatesWest North CentralMidwestMissouriJefferson TownshipJeffersonAgency TownshipAgencyEmpire TownshipEmpireCenter TownshipCtrWashington TownshipWashingtonWayne TownshipWayneMarion TownshipMarionSt. Joseph Metro AreaSt. JosephRush TownshipWashington TownshipWashingtonAndrew CountyAndrewBloomington TownshipBloomingtonPolk TownshipNodaway TownshipNodawayCamden TownshipCamdenIowa TownshipWashington TownshipWashingtonLincoln TownshipLincolnMonroe TownshipMonroeColfax TownshipColfax010400Tract 010400Center TownshipCtrGrand River TownshipGrand RivBenton TownshipBentonRochester TownshipRochesterCrawford TownshipCrawfordJackson TownshipJacksonAdams TownshipAdamsJackson TownshipJacksonSherman TownshipShermanPlatte TownshipPlatteUnion TownshipUnionClay TownshipGrant TownshipGrantDallas TownshipDallasWolf River TownshipWolf RivMarion TownshipMarionWayne TownshipWayneBurr Oak TownshipBurr OakLake Township8.130081%8.130081%8.1%2017.453416%7.453416%7.5%1226.744186%6.744186%6.7%2933.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.822400%2.822400%2.8%114,967115k2.702703%2.702703%2.7%9042.663707%2.663707%2.7%2452.409639%2.409639%2.4%862.307010%2.307010%2.3%2672.116584%2.116584%2.1%1,11082.086677%2.086677%2.1%1391.992032%1.992032%2.0%15101.704697%1.704697%1.7%1,4741.528014%1.528014%1.5%9111.505376%1.505376%1.5%21121.182840%1.182840%1.2%1421.182033%1.182033%1.2%5130.829876%0.829876%0.8%4140.827740%0.827740%0.8%37150.707339%0.707339%0.7%8160.632111%0.632111%0.6%5170.565771%0.565771%0.6%12180.528402%0.528402%0.5%4190.485437%0.485437%0.5%3200.364964%0.364964%0.4%2210.364299%0.364299%0.4%80.361827%0.361827%0.4%8220.194974%0.194974%0.2%9230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%040
Count number of people in category
# rank of county subdivision out of 40 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#18

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 Empire Township, selected other county subdivisions in the St. Joseph Area, and entities that contain the Empire Township
Female
Male
10x5x0x5x10xFM#UnionClay TownshipPlatteGrantWayneEmpireMonroeJacksonPlatteTract 010400ColfaxMarionCamdenCtrMarionJacksonBentonWolf RivLincolnAgencyAndrewRochesterNodawayWayneWashingtonCrawfordCtrSt. JosephWest North CentralWashingtonMidwestUnited StatesJeffersonMissouriWashingtonIowa TownshipGrand RivRush TownshipAdamsBloomingtonPolk TownshipShermanIndependence-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.342%1.34%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%34.400%34.4%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.677%9.68%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.033%2.03%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.817%2.82%5-1.000000x-1.000000x7.079566x7.079566x7.08x4.023%4.02%28.481%28.5%6-1.000000x-1.000000x2.983918x2.983918x2.98x2.866%2.87%8.553%8.55%7-1.000000x-1.000000x2.493750x2.493750x2.49x2.807%2.81%7.000%7.00%8-1.000000x-1.000000x2.052885x2.052885x2.05x2.186%2.19%4.487%4.49%9-1.000000x-1.000000x2.032466x2.032466x2.03x7.230%7.23%14.695%14.7%-1.000000x-1.000000x2.029412x2.029412x2.03x6.522%6.52%13.235%13.2%10-1.000000x-1.000000x2.017284x2.017284x2.02x10.465%10.5%21.111%21.1%11-1.000000x-1.000000x2.005848x2.005848x2.01x4.239%4.24%8.502%8.50%12-1.000000x-1.000000x1.892797x1.892797x1.89x5.310%5.31%10.050%10.1%13-1.000000x-1.000000x1.871429x1.871429x1.87x7.125%7.12%13.333%13.3%14-1.000000x-1.000000x1.852564x1.852564x1.85x8.824%8.82%16.346%16.3%15-1.000000x-1.000000x1.781006x1.781006x1.78x9.471%9.47%16.867%16.9%16-1.000000x-1.000000x1.704981x1.704981x1.70x10.112%10.1%17.241%17.2%17-1.000000x-1.000000x1.552058x1.552058x1.55x13.602%13.6%21.111%21.1%18-1.000000x-1.000000x1.542250x1.542250x1.54x5.215%5.22%8.043%8.04%19-1.000000x-1.000000x1.541188x1.541188x1.54x7.445%7.45%11.474%11.5%-1.000000x-1.000000x1.300864x1.300864x1.30x8.796%8.80%11.443%11.4%20-1.000000x-1.000000x1.277279x1.277279x1.28x7.692%7.69%9.825%9.83%21-1.000000x-1.000000x1.274445x1.274445x1.27x14.138%14.1%18.018%18.0%22-1.000000x-1.000000x1.267053x1.267053x1.27x9.116%9.12%11.550%11.5%23-1.000000x-1.000000x1.246622x1.246622x1.25x6.504%6.50%8.108%8.11%24-1.000000x-1.000000x1.231117x1.231117x1.23x10.940%10.9%13.469%13.5%25-1.000000x-1.000000x1.222720x1.222720x1.22x11.021%11.0%13.476%13.5%-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.129340x1.129340x1.13x12.639%12.6%14.274%14.3%26-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104628x1.104628x1.10x6.909%6.91%7.632%7.63%27-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.077470x1.077470x1.08x7.801%7.80%8.406%8.41%28-1.000000x-1.000000x1.011809x1.011809x1.01x7.162%7.16%7.246%7.25%29-1.023341x-1.023341x1.02x1.000000x1.000000x21.399%21.4%20.911%20.9%30-1.225777x-1.225777x1.23x1.000000x1.000000x12.618%12.6%10.294%10.3%31-1.620118x-1.620118x1.62x1.000000x1.000000x18.974%19.0%11.712%11.7%32-1.656410x-1.656410x1.66x1.000000x1.000000x17.436%17.4%10.526%10.5%33-1.940364x-1.940364x1.94x1.000000x1.000000x9.200%9.20%4.741%4.74%34-2.497041x-2.497041x2.50x1.000000x1.000000x9.467%9.47%3.791%3.79%35-10.000000x-10.000000x> 10.0x1.000000x1.000000x7.778%7.78%0.000%0%36
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 36 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

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 Empire Township, selected other county subdivisions in the St. Joseph Area, and entities that contain the Empire Township
Female
Male
10x5x0x5x10xFM#Grand RivCtrWashingtonIowa TownshipCamdenMonroePolk TownshipBloomingtonRush TownshipWashingtonNodawayWayneAgencyIndependenceJeffersonWashingtonAndrewMidwestMissouriSt. JosephWest North CentralUnited StatesMarionPlatteCtrEmpireTract 010400LincolnColfaxTremont-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.247%0.25%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.670%0.67%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.043%3.04%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.208%1.21%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.619%1.62%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.987%0.99%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.724%1.72%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.193%2.19%8-1.000000x-1.000000x9.323529x9.323529x9.32x0.315%0.32%2.941%2.94%9-1.000000x-1.000000x3.281343x3.281343x3.28x0.271%0.27%0.888%0.89%10-1.000000x-1.000000x2.051960x2.051960x2.05x0.552%0.55%1.134%1.13%11-1.000000x-1.000000x1.959459x1.959459x1.96x1.379%1.38%2.703%2.70%12-1.000000x-1.000000x1.917391x1.917391x1.92x1.814%1.81%3.478%3.48%13-1.000000x-1.000000x1.774648x1.774648x1.77x5.556%5.56%9.859%9.86%14-1.000000x-1.000000x1.756566x1.756566x1.76x1.965%1.97%3.452%3.45%15-1.000000x-1.000000x1.705183x1.705183x1.71x1.569%1.57%2.675%2.67%16-1.000000x-1.000000x1.635841x1.635841x1.64x0.904%0.90%1.479%1.48%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-1.000000x-1.000000x1.574030x1.574030x1.57x1.318%1.32%2.074%2.07%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.247619x1.247619x1.25x1.781%1.78%2.222%2.22%17-1.016393x-1.016393x1.02x1.000000x1.000000x8.197%8.20%8.065%8.06%18-1.750047x-1.750047x1.75x1.000000x1.000000x2.906%2.91%1.661%1.66%19-2.724138x-2.724138x2.72x1.000000x1.000000x3.448%3.45%1.266%1.27%20-2.738676x-2.738676x2.74x1.000000x1.000000x0.523%0.52%0.191%0.19%-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.008%1.01%0.000%0%21-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.725%0.72%0.000%0%22-10.000000x-10.000000x> 10.0x1.000000x1.000000x14.010%14.0%0.000%0%23
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 23 by male-to-female sex ratio

Educational Attainment by County Subdivision in Missouri

There are 1,395 county subdivisions in Missouri. This section compares the Empire Township to the 50 most populous county subdivisions in Missouri and to those entities that contain or substantially overlap with the Empire Township. The least populous of the compared county subdivisions has a population of 30,106.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Empire Township, selected other county subdivisions in Missouri, and entities that contain the Empire Township
0%5%10%15%Count#St. Francois TownshipSt. FrancoisEmpire TownshipEmpireNormandy TownshipNormandySt. LouisNorwood TownshipNorwoodAirport TownshipAirportBlue TownshipLemay TownshipLemayMidland TownshipMidlandWashington TownshipWashingtonSt. Ferdinand TownshipSt. FerdinandUnited States of AmericaUnited StatesKaw TownshipSt. Joseph Metro AreaSt. JosephRock TownshipMissouri010400Tract 010400Springfield TownshipSpringfieldWashington TownshipWashingtonUniversity TownshipUnivFlorissant TownshipFlorissantMidwestJoplin TownshipJoplinBrooking TownshipBrookingFerguson TownshipFergusonCape Girardeau TownshipCape GirardeauAndrew CountyAndrewWest North CentralConcord TownshipConcordColumbia TownshipColumbiaGallatin TownshipGallatinChouteau TownshipChouteauNorthwest TownshipNWSpanish Lake TownshipSpanish LkWentzville TownshipWentzvilleCullen TownshipCullenJefferson TownshipJeffersonGravois TownshipGravoisLewis and Clark TownshipLewis and ClarkTesson Ferry TownshipTesson FerrySni-A-Bar TownshipSni-A-BarLiberty TownshipLibertyQueeny TownshipQueenyMissouri TownshipMissouriOakville TownshipOakvilleBoone TownshipBooneBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsMeramec TownshipMeramecPrairie TownshipPrairieLafayette TownshipLafayetteCreve Coeur TownshipCreve CoeurWildhorse TownshipWildhorseHadley TownshipHadleyClayton TownshipClaytonMissouri River TownshipMissouri RivJefferson TownshipJeffersonChesterfield TownshipChesterfield16.564192%16.564192%16.6%3,610115.662651%15.662651%15.7%5215.494437%15.494437%15.5%3,245215.466266%15.466266%15.5%33,80433.8k314.895461%14.895461%14.9%2,921414.777735%14.777735%14.8%3,454514.241047%14.241047%14.2%15,25815.3k614.236246%14.236246%14.2%3,659714.013093%14.013093%14.0%3,275813.448887%13.448887%13.4%7,053913.139625%13.139625%13.1%2,5551013.020590%13.020590%13.0%27,818,38027.8M12.455744%12.455744%12.5%15,16315.2k1112.276360%12.276360%12.3%10,61510.6k11.722399%11.722399%11.7%2,5101211.167196%11.167196%11.2%454,882455k10.792350%10.792350%10.8%23710.767091%10.767091%10.8%11,14911.1k1310.634663%10.634663%10.6%4,9801410.592623%10.592623%10.6%2,3291510.324033%10.324033%10.3%2,4311610.244520%10.244520%10.2%4,641,8354.64M10.161348%10.161348%10.2%2,834179.955155%9.955155%10.0%5,128189.870005%9.870005%9.9%2,255199.775704%9.775704%9.8%2,493209.396085%9.396085%9.4%1,1289.174633%9.174633%9.2%1,278,0511.28M8.571846%8.571846%8.6%2,348218.563121%8.563121%8.6%2,739228.543044%8.543044%8.5%4,162238.223020%8.223020%8.2%2,932248.206995%8.206995%8.2%1,781257.944951%7.944951%7.9%1,882267.272790%7.272790%7.3%2,099276.911877%6.911877%6.9%1,353286.682723%6.682723%6.7%2,414296.620459%6.620459%6.6%1,662306.354134%6.354134%6.4%1,617316.080066%6.080066%6.1%1,780325.681479%5.681479%5.7%3,048335.095688%5.095688%5.1%1,989344.988602%4.988602%5.0%1,313354.550513%4.550513%4.6%1,799364.457702%4.457702%4.5%1,203374.187380%4.187380%4.2%1,314383.898356%3.898356%3.9%1,034393.830437%3.830437%3.8%1,003403.829155%3.829155%3.8%979413.691019%3.691019%3.7%2,511423.532710%3.532710%3.5%857433.513806%3.513806%3.5%943443.420021%3.420021%3.4%864453.328937%3.328937%3.3%732463.226913%3.226913%3.2%847472.130671%2.130671%2.1%542481.842560%1.842560%1.8%459491.802981%1.802981%1.8%49650
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#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Empire Township, selected other county subdivisions in Missouri, and entities that contain the Empire Township
0%20%40%60%Count#Missouri River TownshipMissouri RivClayton TownshipClaytonChesterfield TownshipChesterfieldJefferson TownshipJeffersonHadley TownshipHadleyCreve Coeur TownshipCreve CoeurLafayette TownshipLafayetteBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsMissouri TownshipMissouriWildhorse TownshipWildhorseQueeny TownshipQueenyMeramec TownshipMeramecColumbia TownshipColumbiaPrairie TownshipPrairieKaw TownshipBoone TownshipBooneGravois TownshipGravoisLiberty TownshipLibertyTesson Ferry TownshipTesson FerryOakville TownshipOakvilleJefferson TownshipJeffersonUniversity TownshipUnivCape Girardeau TownshipCape GirardeauConcord TownshipConcordSt. LouisChouteau TownshipChouteauSni-A-Bar TownshipSni-A-BarUnited States of AmericaUnited StatesWest North CentralCullen TownshipCullenMidwestWentzville TownshipWentzvilleNorthwest TownshipNWSpanish Lake TownshipSpanish LkLewis and Clark TownshipLewis and ClarkMissouriGallatin TownshipGallatinSpringfield TownshipSpringfieldFlorissant TownshipFlorissantAndrew CountyAndrewRock TownshipJoplin TownshipJoplinLemay TownshipLemayFerguson TownshipFergusonWashington TownshipWashington010400Tract 010400St. Joseph Metro AreaSt. JosephWashington TownshipWashingtonBrooking TownshipBrookingAirport TownshipAirportNormandy TownshipNormandyEmpire TownshipEmpireMidland TownshipMidlandSt. Francois TownshipSt. FrancoisBlue TownshipSt. Ferdinand TownshipSt. FerdinandNorwood TownshipNorwood71.743062%71.743062%71.7%18,25018.3k170.432033%70.432033%70.4%18,48718.5k268.124318%68.124318%68.1%18,74118.7k367.676930%67.676930%67.7%16,85916.9k466.683342%66.683342%66.7%14,66314.7k561.702128%61.702128%61.7%16,55916.6k659.413001%59.413001%59.4%14,41314.4k758.403710%58.403710%58.4%15,49115.5k857.956846%57.956846%58.0%15,17615.2k956.895331%56.895331%56.9%22,49322.5k1052.990540%52.990540%53.0%13,38713.4k1152.545593%52.545593%52.5%13,83013.8k1250.041069%50.041069%50.0%12,79412.8k1344.097418%44.097418%44.1%14,10514.1k1443.179480%43.179480%43.2%29,37529.4k1541.581304%41.581304%41.6%50,61950.6k1640.924156%40.924156%40.9%12,84212.8k1740.714627%40.714627%40.7%10,22110.2k1840.532370%40.532370%40.5%15,82115.8k1940.193332%40.193332%40.2%11,76711.8k2038.348094%38.348094%38.3%10,34910.3k2136.633170%36.633170%36.6%13,23313.2k2234.593169%34.593169%34.6%7,6062333.907145%33.907145%33.9%8,6472433.458674%33.458674%33.5%9,1652533.007421%33.007421%33.0%72,14372.1k2632.000224%32.000224%32.0%11,41011.4k2730.703847%30.703847%30.7%16,47216.5k2830.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.343550%29.343550%29.3%5,7442928.952816%28.952816%29.0%13,118,64213.1M28.661516%28.661516%28.7%8,2723027.883508%27.883508%27.9%6,0513127.803107%27.803107%27.8%6,5863227.746778%27.746778%27.7%7,0613327.634687%27.634687%27.6%1,125,6651.13M27.533971%27.533971%27.5%13,41413.4k3426.964567%26.964567%27.0%27,92127.9k3526.084002%26.084002%26.1%6,1423623.981674%23.981674%24.0%2,87923.617598%23.617598%23.6%5,0573722.273216%22.273216%22.3%6,2123821.247374%21.247374%21.2%5,4613920.860507%20.860507%20.9%4,7664020.553744%20.553744%20.6%10,77910.8k4120.309654%20.309654%20.3%44619.996068%19.996068%20.0%17,29017.3k19.744597%19.744597%19.7%9,2464219.100775%19.100775%19.1%9,8394318.927823%18.927823%18.9%4,4244418.583775%18.583775%18.6%3,8924517.469880%17.469880%17.5%5817.401908%17.401908%17.4%4,0674616.325594%16.325594%16.3%3,5584715.821208%15.821208%15.8%16,95117.0k4814.080741%14.080741%14.1%2,7384912.335543%12.335543%12.3%2,41950
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#22

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 Empire Township, selected other county subdivisions in Missouri, and entities that contain the Empire Township
0%5%10%15%Count#Clayton TownshipClaytonHadley TownshipHadleyMissouri River TownshipMissouri RivMissouri TownshipMissouriJefferson TownshipJeffersonCreve Coeur TownshipCreve CoeurChesterfield TownshipChesterfieldUniversity TownshipUnivBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsLafayette TownshipLafayetteColumbia TownshipColumbiaKaw TownshipQueeny TownshipQueenySt. LouisWildhorse TownshipWildhorsePrairie TownshipPrairieGravois TownshipGravoisMeramec TownshipMeramecCape Girardeau TownshipCape GirardeauTesson Ferry TownshipTesson FerryUnited States of AmericaUnited StatesJefferson TownshipJeffersonWest North CentralSpringfield TownshipSpringfieldMidwestMissouriGallatin TownshipGallatinChouteau TownshipChouteauEmpire TownshipEmpireSni-A-Bar TownshipSni-A-BarConcord TownshipConcordLiberty TownshipLibertyOakville TownshipOakvilleBoone TownshipBooneWashington TownshipWashingtonSpanish Lake TownshipSpanish LkLewis and Clark TownshipLewis and ClarkRock TownshipSt. Francois TownshipSt. FrancoisSt. Joseph Metro AreaSt. JosephBrooking TownshipBrookingNorthwest TownshipNWWentzville TownshipWentzvilleFerguson TownshipFergusonCullen TownshipCullenFlorissant TownshipFlorissantJoplin TownshipJoplinAndrew CountyAndrewNormandy TownshipNormandyAirport TownshipAirportWashington TownshipWashingtonBlue TownshipMidland TownshipMidlandSt. Ferdinand TownshipSt. FerdinandLemay TownshipLemayNorwood TownshipNorwood010400Tract 01040015.361170%15.361170%15.4%4,032114.975670%14.975670%15.0%3,293214.647378%14.647378%14.6%3,726311.880913%11.880913%11.9%4,697410.621814%10.621814%10.6%2,646510.451988%10.451988%10.5%2,80569.712832%9.712832%9.7%2,67277.995634%7.995634%8.0%1,75887.329211%7.329211%7.3%1,94497.103303%7.103303%7.1%1,860106.694423%6.694423%6.7%1,624116.380917%6.380917%6.4%2,041125.896414%5.896414%5.9%7,178135.334347%5.334347%5.3%1,404144.880448%4.880448%4.9%10,66710.7k154.298777%4.298777%4.3%1,086164.176099%4.176099%4.2%2,841174.174634%4.174634%4.2%1,048183.739195%3.739195%3.7%956193.701670%3.701670%3.7%944203.415767%3.415767%3.4%1,000213.336158%3.336158%3.3%7,127,6737.13M3.189104%3.189104%3.2%1,152222.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015232.893416%2.893416%2.9%1,311,0191.31M2.822400%2.822400%2.8%114,967115k2.500103%2.500103%2.5%1,218242.414741%2.414741%2.4%861252.409639%2.409639%2.4%82.369147%2.369147%2.4%1,271262.288989%2.288989%2.3%627272.264750%2.264750%2.3%884282.204765%2.204765%2.2%595292.160612%2.160612%2.2%678302.116584%2.116584%2.1%1,110311.802600%1.802600%1.8%427321.760453%1.760453%1.8%448331.732673%1.732673%1.7%371341.711480%1.711480%1.7%373351.704697%1.704697%1.7%1,4741.566656%1.566656%1.6%807361.525275%1.525275%1.5%331371.472575%1.472575%1.5%425381.444391%1.444391%1.4%330391.297573%1.297573%1.3%254401.227333%1.227333%1.2%289411.211904%1.211904%1.2%338421.182840%1.182840%1.2%1421.098219%1.098219%1.1%230431.052496%1.052496%1.1%246441.018621%1.018621%1.0%477450.997751%0.997751%1.0%1,069460.919944%0.919944%0.9%215470.791977%0.791977%0.8%154480.700335%0.700335%0.7%180490.662927%0.662927%0.7%130500.364299%0.364299%0.4%8
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#23

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 Empire Township, selected other county subdivisions in Missouri, and entities that contain the Empire Township
Female
Male
2x0x2x4x6xFM#EmpireTract 010400ClaytonAndrewLafayetteNorwoodFlorissantCullenJeffersonJoplinGravoisBrookingWentzvilleSt. JosephFergusonMidlandLewis and ClarkSt. FrancoisBlue TownshipWashingtonWest North CentralWashingtonMidwestKaw TownshipUnited StatesRock TownshipMissouriGallatinAirportNormandyLibertySpringfieldSni-A-BarSt. LouisUnivBonhommeBoonePrairieOakvilleNWSt. FerdinandChouteauCape GirardeauCreve CoeurMeramecConcordColumbiaQueenyLemayHadleyMissouri RivJeffersonMaryland HtsTesson FerrySpanish LkMissouriWildhorseChesterfield-1.000000x-1.000000x7.079566x7.079566x7.08x4.023%4.02%28.481%28.5%-1.000000x-1.000000x2.032466x2.032466x2.03x7.230%7.23%14.695%14.7%-1.000000x-1.000000x1.661979x1.661979x1.66x2.451%2.45%4.074%4.07%1-1.000000x-1.000000x1.541188x1.541188x1.54x7.445%7.45%11.474%11.5%-1.000000x-1.000000x1.413151x1.413151x1.41x2.955%2.96%4.176%4.18%2-1.000000x-1.000000x1.394530x1.394530x1.39x12.860%12.9%17.933%17.9%3-1.000000x-1.000000x1.355904x1.355904x1.36x8.918%8.92%12.092%12.1%4-1.000000x-1.000000x1.327941x1.327941x1.33x5.887%5.89%7.818%7.82%5-1.000000x-1.000000x1.293811x1.293811x1.29x1.626%1.63%2.103%2.10%6-1.000000x-1.000000x1.292613x1.292613x1.29x8.917%8.92%11.526%11.5%7-1.000000x-1.000000x1.249430x1.249430x1.25x5.921%5.92%7.397%7.40%8-1.000000x-1.000000x1.233432x1.233432x1.23x9.009%9.01%11.113%11.1%9-1.000000x-1.000000x1.225539x1.225539x1.23x6.552%6.55%8.029%8.03%10-1.000000x-1.000000x1.222720x1.222720x1.22x11.021%11.0%13.476%13.5%-1.000000x-1.000000x1.206282x1.206282x1.21x9.055%9.05%10.923%10.9%11-1.000000x-1.000000x1.200898x1.200898x1.20x12.806%12.8%15.379%15.4%12-1.000000x-1.000000x1.197697x1.197697x1.20x5.834%5.83%6.987%6.99%13-1.000000x-1.000000x1.168095x1.168095x1.17x15.162%15.2%17.710%17.7%14-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%15-1.000000x-1.000000x1.153736x1.153736x1.15x9.932%9.93%11.459%11.5%16-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.129340x1.129340x1.13x12.639%12.6%14.274%14.3%17-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%18-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107062x1.107062x1.11x11.143%11.1%12.336%12.3%19-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.081405x1.081405x1.08x8.224%8.22%8.894%8.89%20-1.000000x-1.000000x1.070831x1.070831x1.07x14.307%14.3%15.321%15.3%21-1.000000x-1.000000x1.059691x1.059691x1.06x15.107%15.1%16.009%16.0%22-1.000000x-1.000000x1.031907x1.031907x1.03x5.018%5.02%5.178%5.18%23-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%24-1.000000x-1.000000x1.026158x1.026158x1.03x5.612%5.61%5.758%5.76%25-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%26-1.000000x-1.000000x1.015157x1.015157x1.02x10.525%10.5%10.684%10.7%27-1.024143x-1.024143x1.02x1.000000x1.000000x3.941%3.94%3.848%3.85%28-1.033385x-1.033385x1.03x1.000000x1.000000x4.254%4.25%4.116%4.12%29-1.041840x-1.041840x1.04x1.000000x1.000000x3.762%3.76%3.611%3.61%30-1.042683x-1.042683x1.04x1.000000x1.000000x4.547%4.55%4.361%4.36%31-1.055391x-1.055391x1.06x1.000000x1.000000x8.409%8.41%7.968%7.97%32-1.067453x-1.067453x1.07x1.000000x1.000000x13.492%13.5%12.640%12.6%33-1.102472x-1.102472x1.10x1.000000x1.000000x8.610%8.61%7.809%7.81%34-1.111641x-1.111641x1.11x1.000000x1.000000x10.259%10.3%9.229%9.23%35-1.129885x-1.129885x1.13x1.000000x1.000000x3.705%3.71%3.280%3.28%36-1.132648x-1.132648x1.13x1.000000x1.000000x4.061%4.06%3.585%3.59%37-1.149013x-1.149013x1.15x1.000000x1.000000x9.114%9.11%7.932%7.93%38-1.154286x-1.154286x1.15x1.000000x1.000000x9.165%9.16%7.940%7.94%39-1.160196x-1.160196x1.16x1.000000x1.000000x5.326%5.33%4.591%4.59%40-1.168832x-1.168832x1.17x1.000000x1.000000x15.310%15.3%13.098%13.1%41-1.176084x-1.176084x1.18x1.000000x1.000000x3.588%3.59%3.051%3.05%42-1.248040x-1.248040x1.25x1.000000x1.000000x2.350%2.35%1.883%1.88%43-1.250242x-1.250242x1.25x1.000000x1.000000x7.369%7.37%5.894%5.89%44-1.327312x-1.327312x1.33x1.000000x1.000000x4.358%4.36%3.283%3.28%45-1.366415x-1.366415x1.37x1.000000x1.000000x6.917%6.92%5.062%5.06%46-1.379042x-1.379042x1.38x1.000000x1.000000x8.979%8.98%6.511%6.51%47-1.468110x-1.468110x1.47x1.000000x1.000000x5.354%5.35%3.647%3.65%48-1.482681x-1.482681x1.48x1.000000x1.000000x4.031%4.03%2.719%2.72%49-3.568132x-3.568132x3.57x1.000000x1.000000x2.737%2.74%0.767%0.77%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#24

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 Empire Township, selected other county subdivisions in Missouri, and entities that contain the Empire Township
Female
Male
2x0x2x4xFM#AirportMidlandMissouri RivLafayetteOakvilleCullenChesterfieldGravoisJoplinClaytonUnivSt. FrancoisMeramecConcordCreve CoeurBonhommeBlue TownshipNormandySpringfieldTesson FerryWashingtonPrairieBrookingChouteauJeffersonSt. FerdinandAndrewColumbiaNWMidwestMissouriSt. JosephWest North CentralLibertyMissouriCape GirardeauUnited StatesHadleyJeffersonRock TownshipQueenyKaw TownshipMaryland HtsSt. LouisGallatinSpanish LkSni-A-BarWildhorseWentzvilleLemayWashingtonFlorissantBooneLewis and ClarkNorwoodFergusonEmpireTract 010400-1.000000x-1.000000x4.105211x4.105211x4.11x0.431%0.43%1.770%1.77%1-1.000000x-1.000000x3.374462x3.374462x3.37x0.435%0.44%1.469%1.47%2-1.000000x-1.000000x2.978747x2.978747x2.98x7.591%7.59%22.613%22.6%3-1.000000x-1.000000x2.891573x2.891573x2.89x3.534%3.53%10.219%10.2%4-1.000000x-1.000000x2.616560x2.616560x2.62x1.243%1.24%3.253%3.25%5-1.000000x-1.000000x2.236448x2.236448x2.24x0.784%0.78%1.752%1.75%6-1.000000x-1.000000x2.233412x2.233412x2.23x6.130%6.13%13.690%13.7%7-1.000000x-1.000000x2.233340x2.233340x2.23x2.635%2.63%5.884%5.88%8-1.000000x-1.000000x2.213574x2.213574x2.21x0.768%0.77%1.699%1.70%9-1.000000x-1.000000x2.130456x2.130456x2.13x9.974%9.97%21.249%21.2%10-1.000000x-1.000000x2.074667x2.074667x2.07x5.484%5.48%11.378%11.4%11-1.000000x-1.000000x1.979338x1.979338x1.98x1.112%1.11%2.201%2.20%12-1.000000x-1.000000x1.947853x1.947853x1.95x2.557%2.56%4.981%4.98%13-1.000000x-1.000000x1.901670x1.901670x1.90x1.619%1.62%3.079%3.08%14-1.000000x-1.000000x1.897752x1.897752x1.90x7.445%7.44%14.128%14.1%15-1.000000x-1.000000x1.839704x1.839704x1.84x5.292%5.29%9.735%9.74%16-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%17-1.000000x-1.000000x1.757641x1.757641x1.76x0.829%0.83%1.456%1.46%18-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%19-1.000000x-1.000000x1.741722x1.741722x1.74x2.559%2.56%4.457%4.46%20-1.000000x-1.000000x1.705183x1.705183x1.71x1.569%1.57%2.675%2.67%21-1.000000x-1.000000x1.677680x1.677680x1.68x3.170%3.17%5.319%5.32%22-1.000000x-1.000000x1.672473x1.672473x1.67x1.203%1.20%2.012%2.01%23-1.000000x-1.000000x1.664135x1.664135x1.66x1.828%1.83%3.042%3.04%24-1.000000x-1.000000x1.660593x1.660593x1.66x2.439%2.44%4.050%4.05%25-1.000000x-1.000000x1.656176x1.656176x1.66x0.623%0.62%1.032%1.03%26-1.000000x-1.000000x1.635841x1.635841x1.64x0.904%0.90%1.479%1.48%-1.000000x-1.000000x1.627926x1.627926x1.63x4.877%4.88%7.940%7.94%27-1.000000x-1.000000x1.594382x1.594382x1.59x1.199%1.20%1.911%1.91%28-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-1.000000x-1.000000x1.574030x1.574030x1.57x1.318%1.32%2.074%2.07%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.564163x1.564163x1.56x1.779%1.78%2.782%2.78%29-1.000000x-1.000000x1.556641x1.556641x1.56x9.413%9.41%14.653%14.7%30-1.000000x-1.000000x1.530094x1.530094x1.53x2.964%2.96%4.535%4.54%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.523750x1.523750x1.52x11.953%12.0%18.213%18.2%32-1.000000x-1.000000x1.465462x1.465462x1.47x8.768%8.77%12.849%12.8%33-1.000000x-1.000000x1.461492x1.461492x1.46x1.416%1.42%2.069%2.07%34-1.000000x-1.000000x1.429705x1.429705x1.43x4.455%4.46%6.369%6.37%35-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%36-1.000000x-1.000000x1.284414x1.284414x1.28x6.233%6.23%8.006%8.01%37-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%38-1.000000x-1.000000x1.271646x1.271646x1.27x2.214%2.21%2.815%2.82%39-1.000000x-1.000000x1.233946x1.233946x1.23x1.642%1.64%2.026%2.03%40-1.000000x-1.000000x1.228666x1.228666x1.23x2.136%2.14%2.625%2.62%41-1.000000x-1.000000x1.189595x1.189595x1.19x3.950%3.95%4.699%4.70%42-1.000000x-1.000000x1.180028x1.180028x1.18x1.354%1.35%1.597%1.60%43-1.000000x-1.000000x1.108475x1.108475x1.11x0.665%0.67%0.737%0.74%44-1.000000x-1.000000x1.066269x1.066269x1.07x0.988%0.99%1.054%1.05%45-1.000000x-1.000000x1.014307x1.014307x1.01x1.220%1.22%1.237%1.24%46-1.112780x-1.112780x1.11x1.000000x1.000000x2.272%2.27%2.042%2.04%47-1.257957x-1.257957x1.26x1.000000x1.000000x1.940%1.94%1.542%1.54%48-1.563504x-1.563504x1.56x1.000000x1.000000x0.775%0.77%0.496%0.50%49-1.780772x-1.780772x1.78x1.000000x1.000000x1.786%1.79%1.003%1.00%50-2.724138x-2.724138x2.72x1.000000x1.000000x3.448%3.45%1.266%1.27%-2.738676x-2.738676x2.74x1.000000x1.000000x0.523%0.52%0.191%0.19%
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 Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Empire Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Empire Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Empire Township, selected other county subdivisions in the Midwest, and entities that contain the Empire Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoEmpire TownshipEmpireProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipSt. Joseph Metro AreaSt. JosephOmahaBloomingdale TownshipBloomingdaleColumbusMissouriMaine TownshipMaineTopekaMinneapolis010400Tract 010400Springfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsAndrew CountyAndrewWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.662651%15.662651%15.7%5215.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.276360%12.276360%12.3%10,61510.6k12.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.167196%11.167196%11.2%454,882455k11.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.792350%10.792350%10.8%23710.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.396085%9.396085%9.4%1,1289.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
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#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Empire Township, selected other county subdivisions in the Midwest, and entities that contain the Empire Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaMissouriSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthAndrew CountyAndrewMilwaukeeRockford TownshipRockford010400Tract 010400AkronCenter TownshipCtrSt. Joseph Metro AreaSt. JosephNorth TownshipNThornton TownshipThorntonToledoDaytonEmpire TownshipEmpireWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.634687%27.634687%27.6%1,125,6651.13M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.981674%23.981674%24.0%2,87923.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.309654%20.309654%20.3%44620.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.996068%19.996068%20.0%17,29017.3k19.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.469880%17.469880%17.5%5817.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%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#27

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 Empire Township, selected other county subdivisions in the Midwest, and entities that contain the Empire Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheMissouriCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaEmpire TownshipEmpireProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandSt. Joseph Metro AreaSt. JosephToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneAndrew CountyAndrewWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton010400Tract 01040017.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.822400%2.822400%2.8%114,967115k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.409639%2.409639%2.4%82.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.704697%1.704697%1.7%1,4741.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.182840%1.182840%1.2%1421.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.364299%0.364299%0.4%8
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#28

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 Empire Township, selected other county subdivisions in the Midwest, and entities that contain the Empire Township
Female
Male
0x2x4x6xFM#EmpireTract 010400AndrewCedar RapidsLincolnDetroitOmahaToledoSt. JosephThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkMissouriAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x7.079566x7.079566x7.08x4.023%4.02%28.481%28.5%-1.000000x-1.000000x2.032466x2.032466x2.03x7.230%7.23%14.695%14.7%-1.000000x-1.000000x1.541188x1.541188x1.54x7.445%7.45%11.474%11.5%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.222720x1.222720x1.22x11.021%11.0%13.476%13.5%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%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#29

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 Empire Township, selected other county subdivisions in the Midwest, and entities that contain the Empire Township
Female
Male
2x1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaAndrewFargoWashingtonLincolnMidwestMissouriBloomingdaleSt. JosephWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonEmpireTract 010400-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.635841x1.635841x1.64x0.904%0.90%1.479%1.48%-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.574030x1.574030x1.57x1.318%1.32%2.074%2.07%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50-2.724138x-2.724138x2.72x1.000000x1.000000x3.448%3.45%1.266%1.27%-2.738676x-2.738676x2.74x1.000000x1.000000x0.523%0.52%0.191%0.19%
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 Empire Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Empire Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Empire Township, selected other county subdivisions in the United States, and entities that contain the Empire Township
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 VegasEmpire TownshipEmpirePhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoSt. Joseph Metro AreaSt. JosephTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaMissouri010400Tract 010400Salt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaAndrew CountyAndrewWest North CentralSeattleNortheast TarrantNE TarrantPlanoSeattle 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%198,651199k2515.662651%15.662651%15.7%5214.952077%14.952077%15.0%308,569309k2614.325556%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%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.276360%12.276360%12.3%10,61510.6k12.262851%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%43,65343.7k4111.167196%11.167196%11.2%454,882455k10.792350%10.792350%10.8%23710.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.396085%9.396085%9.4%1,1289.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%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#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Empire Township, selected other county subdivisions in the United States, and entities that contain the Empire Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoMissouriEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthAndrew CountyAndrewSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl Paso010400Tract 010400St. Joseph Metro AreaSt. JosephBronxEmpire TownshipEmpireSan 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%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%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%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%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%209,283209k3627.634687%27.634687%27.6%1,125,6651.13M27.276345%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%131,349131k4123.981674%23.981674%24.0%2,87923.764821%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%72,12072.1k4620.309654%20.309654%20.3%44619.996068%19.996068%20.0%17,29017.3k19.131504%19.131504%19.1%173,169173k4717.469880%17.469880%17.5%5816.375473%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#32

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 Empire Township, selected other county subdivisions in the United States, and entities that contain the Empire Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoMissouriAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyEmpire TownshipEmpireOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSt. Joseph Metro AreaSt. JosephSouthwest DallasSW DallasBronxDetroitAndrew CountyAndrew010400Tract 01040012.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%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%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%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%45,61045.6k253.490252%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%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.822400%2.822400%2.8%114,967115k2.763004%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%15,54715.5k402.409639%2.409639%2.4%82.324315%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%5,975471.704697%1.704697%1.7%1,4741.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.182840%1.182840%1.2%1420.364299%0.364299%0.4%8
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#33

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 Empire Township, selected other county subdivisions in the United States, and entities that contain the Empire Township
Female
Male
0x2x4x6xFM#EmpireTract 010400Andrew1, CharlotteDetroitSt. JosephBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioMissouriSan 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-1.000000x7.079566x7.079566x7.08x4.023%4.02%28.481%28.5%-1.000000x-1.000000x2.032466x2.032466x2.03x7.230%7.23%14.695%14.7%-1.000000x-1.000000x1.541188x1.541188x1.54x7.445%7.45%11.474%11.5%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.222720x1.222720x1.22x11.021%11.0%13.476%13.5%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-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-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-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-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-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#34

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 Empire Township, selected other county subdivisions in the United States, and entities that contain the Empire Township
Female
Male
2x1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixAndrewTucson1, CharlotteMidwestMissouriNW HarrisLas VegasSt. JosephWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitEmpireTract 010400-1.000000x-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-1.000000x1.782054x1.782054x1.78x3.355%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-1.000000x1.635841x1.635841x1.64x0.904%0.90%1.479%1.48%-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-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-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-1.000000x1.574030x1.574030x1.57x1.318%1.32%2.074%2.07%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-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-1.000000x1.514156x1.514156x1.51x4.979%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-1.000000x1.460302x1.460302x1.46x2.944%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%50-2.724138x-2.724138x2.72x1.000000x1.000000x3.448%3.45%1.266%1.27%-2.738676x-2.738676x2.74x1.000000x1.000000x0.523%0.52%0.191%0.19%
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:
Missouri
County:
Andrew
Metro Area:
St. Joseph Area
ZIP Codes:
64459, 64480, 64483, 64485, 64494
Unified School Districts:
King City R-I, North Andrew County R-VI, Savannah R-III, Union Star R-II
Congressional District:
MO-6
State Senate District:
MO-12
State House District:
MO-9
Neighboring Towns:
Union Star
Neighboring Townships:
Benton, Jackson, Nodaway, Platte, Polk, Rochester
Nearby Townships:
Grant, Grant, Jackson, Jefferson, Lincoln, Marion, Monroe, Sherman, Washington, Washington