Educational Attainment in the Orange Township, Clinton County, Iowa (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Clinton County and the Orange Township
Orange Township
Clinton County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma233.428981%31.394049%33.428981%33.4%23358.393113%60.187283%58.393113%58.4%4078.177905%8.418668%8.177905%8.2%57
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 Clinton County at large.
Scope: population of Clinton County and the Orange Township
-5%0%+5%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma26.481904%6.481904%+6.5%33.429%33.4%31.394%31.4%-2.980978%-2.980978%-3.0%58.393%58.4%60.187%60.2%-2.859865%-2.859865%-2.9%8.178%8.18%8.419%8.42%
% percentage with given level in the Orange Township
ref. percentage with given level in Clinton 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 Clinton County and the Orange Township
Orange Township
Clinton County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.286944%0.616221%0.286944%0.3%20.000000%0.000000%0.0%0.782359%05.451937%4.449479%5.451937%5.5%3813.629842%13.520616%13.629842%13.6%9514.060258%12.025374%14.060258%14.1%9817.934003%23.706389%17.934003%17.9%12540.459110%36.480894%40.459110%40.5%2825.308465%5.376831%5.308465%5.3%372.582496%2.597795%2.582496%2.6%180.286944%0.444042%0.286944%0.3%2
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 Clinton County at large.
Scope: population of Clinton County and the Orange Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-53.434889%-53.434889%-53.4%0.287%0.29%0.616%0.62%-100.000000%-100.000000%-100.0%0.000%0%0.782%0.78%22.529783%22.529783%+22.5%5.452%5.45%4.449%4.45%0.807847%0.807847%+0.8%13.630%13.6%13.521%13.5%16.921590%16.921590%+16.9%14.060%14.1%12.025%12.0%-24.349495%-24.349495%-24.3%17.934%17.9%23.706%23.7%10.904931%10.904931%+10.9%40.459%40.5%36.481%36.5%-1.271501%-1.271501%-1.3%5.308%5.31%5.377%5.38%-0.588903%-0.588903%-0.6%2.582%2.58%2.598%2.60%-35.379030%-35.379030%-35.4%0.287%0.29%0.444%0.44%
% percentage with given level in the Orange Township
ref. percentage with given level in Clinton 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 Clinton County and the Orange Township
More Females More Males
Clinton County
Orange Township
50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-43.694596%-16.760340%-43.694596%44%39.071%39.1%27.190%27.2%32.688822%7.804621%32.688822%33%50.546%50.5%67.069%67.1%-80.874317%-80.874317%81%3.791345%10.383%10.4%5.740%5.74%
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 Clinton County and the Orange Township
More Females More Males
Clinton County
Orange Township
1k%0k%1k%FMDoctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%158.757062%1,000.000000%> 1000%0.000%0%0.604%0.60%-153.224044%-17.437151%-153.224044%0k%7.650%7.65%3.021%3.02%-13.690423%33.717417%33.717417%0k%11.749%11.7%15.710%15.7%-150.441362%-37.163040%-150.441362%0k%19.672%19.7%7.855%7.85%23.692969%2.928167%23.692969%0k%16.120%16.1%19.940%19.9%36.901165%11.096309%36.901165%0k%34.426%34.4%47.130%47.1%-6.396657%-7.124142%-6.396657%0k%5.464%5.46%5.136%5.14%-623.497268%-623.497268%1k%16.691290%4.372%4.37%0.604%0.60%-1,000.000000%-1,000.000000%> 1000%91.219842%0.546%0.55%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 Clinton County and the Orange Township
Orange Township
Clinton County
0%5%10%15%B.X.Total65+45-6435-4425-344.615385%9.582338%4.615385%4.6%613016.504854%13.611111%16.504854%16.5%5130914.975845%14.847081%14.975845%15.0%3120713.725490%18.519931%13.725490%13.7%751
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 Clinton County at large.
Scope: population of Clinton County and the Orange Township
40%20%0%20%%ref.65+45-6435-4425-34-51.834460%-51.834460%51.8%4.615%4.62%9.582%9.58%21.260155%21.260155%21.3%16.505%16.5%13.611%13.6%0.867273%0.867273%0.9%14.976%15.0%14.847%14.8%-25.888007%-25.888007%25.9%13.725%13.7%18.520%18.5%
% percentage in the Orange Township with a Bachelor's degree
ref percentage in Clinton 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 Clinton County and the Orange Township
More Females More Males
Clinton County
Orange Township
50%0%50%FM65+45-6435-4425-34-76.811594%-76.811594%76.8%15.034343%5.797%5.80%3.279%3.28%-32.460113%38.307552%38.307552%38.3%13.816%13.8%19.108%19.1%-10.177156%77.806122%77.806122%77.8%11.382%11.4%20.238%20.2%-75.757576%-19.364103%-75.757576%75.8%18.182%18.2%10.345%10.3%
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 Clinton County and the Orange Township
Orange Township
Clinton County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$53,917.000000$57,308.000000$53,917.000000$53.9k405.739%5.74%$57,292.000000$48,423.000000$57,292.000000$57.3k9513.630%13.6%$31,458.000000$31,974.000000$31,458.000000$31.5k22331.994%32.0%$27,120.000000$28,682.000000$27,120.000000$27.1k28240.459%40.5%$33,906.000000$34,418.000000$33,906.000000$33.9k697100.000%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 Clinton County and the Orange Township
Female Male
Clinton County
Orange Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Some CollegeH.S. Diploma2Total$-53,250.000000$-52,708.000000$-53,250.000000$53.3k$53,250.000000$52,464.000000$52,708.000000$18,374.000000$105,714.000000$105.7k2812$-25,000.000000$-25,862.000000$-25,000.000000$25.0k$25,000.000000$14,500.000000$25,862.000000$19,979.000000$39,500.000000$39.5k13192$-13,512.000000$-18,520.000000$-13,512.000000$13.5k$13,512.000000$27,426.000000$18,520.000000$22,469.000000$40,938.000000$40.9k126156$-19,583.000000$-25,505.000000$-19,583.000000$19.6k$19,583.000000$31,586.000000$25,505.000000$20,634.000000$51,169.000000$51.2k366331
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 Clinton County and the Orange Township
Orange Township
Clinton County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%60.000000%0100.000000%40.000000%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 Clinton County and the Orange Township
Orange Township
Clinton County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma393.700787%86.035687%93.700787%93.7%11983.157895%76.766948%83.157895%83.2%15884.236453%73.022312%84.236453%84.2%17163.829787%59.821429%63.829787%63.8%30
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 Clinton County and the Orange Township
Female Male
Clinton County
Orange Township
Shaded bar tips show excess over facing bar.
10%5%0%5%MFWhite1-5.740181%-5.436289%-7.148568%-0.301060%-11.176471%11.2%5.740181%7.148568%5.740181%5.7%1938
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 Clinton County and the Orange Township
Female Male
Clinton County
Orange Township
Shaded bar tips show excess over facing bar.
20%15%10%5%0%5%10%15%MFWhite1-14.411765%-19.440373%-0.905921%-14.411765%14.4%14.411765%4.923583%19.440373%19.335347%19.3%6449
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 Clinton Area

There are 19 county subdivisions in the Clinton Area. This section compares the Orange Township to all of the county subdivisions in the Clinton Area and to those entities that contain or substantially overlap with the Orange Township.

No H.S. Diploma by County Subdivision#16

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Orange Township, selected other county subdivisions in the Clinton Area, and entities that contain the Orange Township
0%5%10%15%20%Count#Eden TownshipSpring Rock TownshipSpg RockUnited States of AmericaUnited StatesSharon TownshipSharonHampshire TownshipHampshireDeep Creek TownshipDeep CrkMidwestClintonWest North CentralWelton TownshipWeltonCenter TownshipCtrClinton Metro AreaClinton AreaClinton CountyClintonIowaOrange TownshipOrange001000Tract 001000Bloomfield TownshipBloomfieldCamanche TownshipCamancheWaterford TownshipWaterfordElk River TownshipElk RivLiberty TownshipLibertyDe Witt TownshipDe WittBrookfield TownshipBrookfieldOlive TownshipOliveWashington TownshipWashingtonGrant TownshipGrant23.018868%23.018868%23.0%122113.055954%13.055954%13.1%91213.020590%13.020590%13.0%27,818,38027.8M10.775047%10.775047%10.8%57310.652174%10.652174%10.7%49410.493827%10.493827%10.5%51510.244520%10.244520%10.2%4,641,8354.64M10.089266%10.089266%10.1%1,83169.174633%9.174633%9.2%1,278,0511.28M8.800000%8.800000%8.8%3378.478803%8.478803%8.5%3488.418668%8.418668%8.4%2,7878.418668%8.418668%8.4%2,7878.255425%8.255425%8.3%169,966170k8.177905%8.177905%8.2%5797.299546%7.299546%7.3%1937.027027%7.027027%7.0%39106.102719%6.102719%6.1%202115.813953%5.813953%5.8%25124.821429%4.821429%4.8%27134.201681%4.201681%4.2%10143.150499%3.150499%3.2%139152.926829%2.926829%2.9%6162.380952%2.380952%2.4%14170.000000%0.000000%0.0%0180.000000%0.000000%0.0%019
Count number of people in category
# rank of county subdivision out of 19 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#17

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Orange Township, selected other county subdivisions in the Clinton Area, and entities that contain the Orange Township
0%10%20%30%Count#United States of AmericaUnited StatesWest North CentralMidwestIowaDe Witt TownshipDe WittBrookfield TownshipBrookfieldGrant TownshipGrantWelton TownshipWeltonClintonOrange TownshipOrangeClinton Metro AreaClinton AreaClinton CountyClintonSharon TownshipSharonWaterford TownshipWaterfordHampshire TownshipHampshireCamanche TownshipCamancheBloomfield TownshipBloomfieldDeep Creek TownshipDeep Crk001000Tract 001000Center TownshipCtrElk River TownshipElk RivSpring Rock TownshipSpg RockEden TownshipOlive TownshipOliveWashington TownshipWashingtonLiberty TownshipLiberty30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M27.172145%27.172145%27.2%559,431559k27.153218%27.153218%27.2%1,198123.414634%23.414634%23.4%48222.916667%22.916667%22.9%33321.066667%21.066667%21.1%79419.610976%19.610976%19.6%3,559519.368723%19.368723%19.4%135619.368675%19.368675%19.4%6,41219.368675%19.368675%19.4%6,41218.336484%18.336484%18.3%97717.674419%17.674419%17.7%76816.521739%16.521739%16.5%76916.253776%16.253776%16.3%5381015.855856%15.855856%15.9%881115.432099%15.432099%15.4%751215.279879%15.279879%15.3%40415.211970%15.211970%15.2%611314.464286%14.464286%14.5%811413.342898%13.342898%13.3%931512.830189%12.830189%12.8%681611.224490%11.224490%11.2%66177.941176%7.941176%7.9%27185.882353%5.882353%5.9%1419
Count number of people in category
# rank of county subdivision out of 19 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#18

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 Orange Township, selected other county subdivisions in the Clinton Area, and entities that contain the Orange Township
0%1%2%3%Count#United States of AmericaUnited StatesWest North CentralMidwestDe Witt TownshipDe WittIowaCenter TownshipCtrHampshire TownshipHampshireLiberty TownshipLibertyBrookfield TownshipBrookfieldClintonClinton Metro AreaClinton AreaClinton CountyClintonEden TownshipCamanche TownshipCamancheSharon TownshipSharon001000Tract 001000Orange TownshipOrangeSpring Rock TownshipSpg RockElk River TownshipElk RivOlive TownshipOliveBloomfield TownshipBloomfieldDeep Creek TownshipDeep CrkWaterford TownshipWaterfordWelton TownshipWeltonWashington TownshipWashingtonGrant TownshipGrant3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.787851%2.787851%2.8%12312.675779%2.675779%2.7%55,09055.1k2.244389%2.244389%2.2%922.173913%2.173913%2.2%1032.100840%2.100840%2.1%541.951220%1.951220%2.0%451.592462%1.592462%1.6%28961.398580%1.398580%1.4%4631.398580%1.398580%1.4%4630.754717%0.754717%0.8%470.392749%0.392749%0.4%1380.378072%0.378072%0.4%290.340393%0.340393%0.3%90.286944%0.286944%0.3%2100.286944%0.286944%0.3%2110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%019
Count number of people in category
# rank of county subdivision out of 19 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#19

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 Orange Township, selected other county subdivisions in the Clinton Area, and entities that contain the Orange Township
Female
Male
0x5x10xFM#BrookfieldEden TownshipCtrElk RivHampshireSpg RockBloomfieldIowaClintonWest North CentralMidwestUnited StatesClinton AreaClintonTract 001000WaterfordSharonOrangeWeltonLibertyDeep CrkDe WittOliveCamanche-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.556%5.56%1-1.000000x-1.000000x6.531608x6.531608x6.53x5.761%5.76%37.631%37.6%2-1.000000x-1.000000x4.929915x4.929915x4.93x2.913%2.91%14.359%14.4%3-1.000000x-1.000000x3.868456x3.868456x3.87x1.908%1.91%7.383%7.38%4-1.000000x-1.000000x3.575000x3.575000x3.58x4.545%4.55%16.250%16.3%5-1.000000x-1.000000x2.489827x2.489827x2.49x7.733%7.73%19.255%19.3%6-1.000000x-1.000000x1.805124x1.805124x1.81x5.018%5.02%9.058%9.06%7-1.000000x-1.000000x1.220410x1.220410x1.22x7.453%7.45%9.096%9.10%-1.000000x-1.000000x1.164071x1.164071x1.16x9.372%9.37%10.910%10.9%8-1.000000x-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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.037913x1.037913x1.04x8.268%8.27%8.581%8.58%-1.000000x-1.000000x1.037913x1.037913x1.04x8.268%8.27%8.581%8.58%-1.176721x-1.176721x1.18x1.000000x1.000000x7.881%7.88%6.697%6.70%-1.249267x-1.249267x1.25x1.000000x1.000000x6.452%6.45%5.164%5.16%9-1.446733x-1.446733x1.45x1.000000x1.000000x12.971%13.0%8.966%8.97%10-1.808743x-1.808743x1.81x1.000000x1.000000x10.383%10.4%5.740%5.74%11-2.043353x-2.043353x2.04x1.000000x1.000000x12.139%12.1%5.941%5.94%12-2.256198x-2.256198x2.26x1.000000x1.000000x5.785%5.79%2.564%2.56%13-2.944118x-2.944118x2.94x1.000000x1.000000x15.294%15.3%5.195%5.19%14-3.473580x-3.473580x3.47x1.000000x1.000000x4.776%4.78%1.375%1.38%15-4.005931x-4.005931x4.01x1.000000x1.000000x3.915%3.91%0.977%0.98%16-4.407789x-4.407789x4.41x1.000000x1.000000x10.118%10.1%2.295%2.30%17
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 17 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#20

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 Orange Township, selected other county subdivisions in the Clinton Area, and entities that contain the Orange Township
Female
Male
10x5x0x5x10xFM#CamancheOrangeSpg RockClintonClinton AreaClintonDe WittIowaMidwestWest North CentralUnited StatesHampshireTract 001000CtrSharonEden TownshipLibertyBrookfield-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.765%0.77%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.604%0.60%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.621%0.62%3-1.000000x-1.000000x4.108012x4.108012x4.11x0.650%0.65%2.671%2.67%4-1.000000x-1.000000x2.791501x2.791501x2.79x0.751%0.75%2.097%2.10%-1.000000x-1.000000x2.791501x2.791501x2.79x0.751%0.75%2.097%2.10%-1.000000x-1.000000x2.183973x2.183973x2.18x1.780%1.78%3.888%3.89%5-1.000000x-1.000000x1.647686x1.647686x1.65x2.033%2.03%3.349%3.35%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-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-1.000000x1.375000x1.375000x1.38x1.818%1.82%2.500%2.50%6-1.207249x-1.207249x1.21x1.000000x1.000000x0.372%0.37%0.308%0.31%-1.893204x-1.893204x1.89x1.000000x1.000000x2.913%2.91%1.538%1.54%7-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.837%0.84%0.000%0%8-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.646%1.65%0.000%0%9-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.132%4.13%0.000%0%10-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.124%4.12%0.000%0%11
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 11 by male-to-female sex ratio

Educational Attainment by County Subdivision in Iowa

There are 1,662 county subdivisions in Iowa. This section compares the Orange Township to the 50 most populous county subdivisions in Iowa and to those entities that contain or substantially overlap with the Orange Township. The least populous of the compared county subdivisions has a population of 9,112.

No H.S. Diploma by County Subdivision#21

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Orange Township, selected other county subdivisions in Iowa, and entities that contain the Orange Township
0%10%20%30%Count#Storm LakeTaylor TownshipTaylorLee TownshipSioux CityCenter TownshipCtrBloomington TownshipBloomingtonUnited States of AmericaUnited StatesKane TownshipBloomfield TownshipBloomfieldWaterlooTimber Creek TownshipTimber CrkKeokukDes Moines TownshipDes MoinesMidwestClintonFort DodgeAmerica TownshipAmericaBurlingtonLewis TownshipLewisWest North CentralDavenportOskaloosaDubuqueClinton Metro AreaClinton AreaClinton CountyClintonFour Mile TownshipFour MileIowaOrange TownshipOrangeCarrollLake Prairie TownshipLk PrairieNewton TownshipNewtonMadison TownshipMadisonMason City001000Tract 001000Knoxville TownshipKnoxvilleSpencerGrinnellCedar RapidsClay TownshipWalnut TownshipWalnutIndianolaIowa CityMonroe TownshipMonroeDecorah TownshipDecorahFairfieldWaverlyCedar FallsDes Moines TownshipDes MoinesWebster TownshipWebsterMarion TownshipMarionWashington TownshipWashingtonPleasant Valley TownshipPleasant VlyPenn TownshipFranklin TownshipFranklinCrocker TownshipCrockerBoone TownshipBooneWalnut TownshipWalnutJefferson TownshipJefferson34.354812%34.354812%34.4%2,074123.659118%23.659118%23.7%2,779218.284948%18.284948%18.3%7,495316.196427%16.196427%16.2%8,450415.715486%15.715486%15.7%2,806513.713927%13.713927%13.7%2,186613.020590%13.020590%13.0%27,818,38027.8M12.980648%12.980648%13.0%4,635712.645607%12.645607%12.6%2,638812.467653%12.467653%12.5%5,637911.757089%11.757089%11.8%9081010.639768%10.639768%10.6%7701110.617515%10.617515%10.6%7,1631210.244520%10.244520%10.2%4,641,8354.64M10.089266%10.089266%10.1%1,831139.928726%9.928726%9.9%1,602149.280545%9.280545%9.3%654159.207132%9.207132%9.2%1,606169.196439%9.196439%9.2%816179.174633%9.174633%9.2%1,278,0511.28M8.840661%8.840661%8.8%5,980188.796236%8.796236%8.8%673198.612735%8.612735%8.6%3,360208.418668%8.418668%8.4%2,7878.418668%8.418668%8.4%2,7878.413143%8.413143%8.4%571218.255425%8.255425%8.3%169,966170k8.177905%8.177905%8.2%578.126181%8.126181%8.1%559227.744017%7.744017%7.7%576237.720728%7.720728%7.7%815247.710058%7.710058%7.7%568257.497647%7.497647%7.5%1,434267.299546%7.299546%7.3%1937.269629%7.269629%7.3%512276.644476%6.644476%6.6%519286.612686%6.612686%6.6%343295.981653%5.981653%6.0%5,099305.396318%5.396318%5.4%642315.380715%5.380715%5.4%2,515325.145610%5.145610%5.1%470335.094424%5.094424%5.1%1,945344.730545%4.730545%4.7%431354.663900%4.663900%4.7%281364.532206%4.532206%4.5%311374.398977%4.398977%4.4%258384.395197%4.395197%4.4%948394.280822%4.280822%4.3%400403.720990%3.720990%3.7%1,459413.688334%3.688334%3.7%1,031423.238213%3.238213%3.2%522432.709515%2.709515%2.7%688442.466837%2.466837%2.5%424452.463319%2.463319%2.5%366462.118938%2.118938%2.1%703471.559792%1.559792%1.6%234481.285362%1.285362%1.3%214491.127989%1.127989%1.1%7550
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#22

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Orange Township, selected other county subdivisions in Iowa, and entities that contain the Orange Township
0%20%40%60%Count#Boone TownshipBooneFranklin TownshipFranklinWashington TownshipWashingtonIowa CityPenn TownshipWalnut TownshipWalnutJefferson TownshipJeffersonWalnut TownshipWalnutPleasant Valley TownshipPleasant VlyWebster TownshipWebsterCrocker TownshipCrockerCedar FallsLake Prairie TownshipLk PrairieDecorah TownshipDecorahFairfieldWaverlyMarion TownshipMarionDes Moines TownshipDes MoinesMonroe TownshipMonroeClay TownshipCedar RapidsGrinnellFour Mile TownshipFour MileUnited States of AmericaUnited StatesWest North CentralDubuqueMidwestIndianolaTimber Creek TownshipTimber CrkIowaDavenportCarrollLewis TownshipLewisOskaloosaFort DodgeWaterlooSpencerMason CitySioux CityBloomington TownshipBloomingtonDes Moines TownshipDes MoinesClintonAmerica TownshipAmericaOrange TownshipOrangeClinton Metro AreaClinton AreaClinton CountyClintonBurlingtonKnoxville TownshipKnoxvilleBloomfield TownshipBloomfieldKane TownshipCenter TownshipCtrStorm Lake001000Tract 001000Newton TownshipNewtonKeokukTaylor TownshipTaylorLee TownshipMadison TownshipMadison63.758166%63.758166%63.8%9,565163.736707%63.736707%63.7%9,470260.347395%60.347395%60.3%9,728359.902040%59.902040%59.9%22,87022.9k458.116128%58.116128%58.1%9,989557.907382%57.907382%57.9%9,641650.774553%50.774553%50.8%3,376750.379752%50.379752%50.4%23,54823.5k848.570416%48.570416%48.6%12,33312.3k947.839837%47.839837%47.8%18,75818.8k1045.953522%45.953522%46.0%15,24615.2k1143.409523%43.409523%43.4%9,3631239.499866%39.499866%39.5%2,9381338.240664%38.240664%38.2%2,3041438.122996%38.122996%38.1%2,6161537.016198%37.016198%37.0%2,1711636.278754%36.278754%36.3%10,14110.1k1734.579924%34.579924%34.6%23,32923.3k1833.958951%33.958951%34.0%3,0941932.655291%32.655291%32.7%3,8852031.793440%31.793440%31.8%27,10227.1k2131.116252%31.116252%31.1%1,6142230.381612%30.381612%30.4%2,0622330.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.724187%29.724187%29.7%11,59611.6k2428.952816%28.952816%29.0%13,118,64213.1M28.399387%28.399387%28.4%2,5942527.282144%27.282144%27.3%2,1072627.172145%27.172145%27.2%559,431559k26.697910%26.697910%26.7%18,05918.1k2725.090856%25.090856%25.1%1,7262825.008453%25.008453%25.0%2,2192924.911776%24.911776%24.9%1,9063022.776573%22.776573%22.8%3,6753122.015792%22.015792%22.0%9,9543221.482525%21.482525%21.5%1,6783321.358360%21.358360%21.4%4,0853420.857931%20.857931%20.9%10,88210.9k3520.658720%20.658720%20.7%3,2933619.798801%19.798801%19.8%1,8503719.610976%19.610976%19.6%3,5593819.455087%19.455087%19.5%1,3713919.368723%19.368723%19.4%13519.368675%19.368675%19.4%6,41219.368675%19.368675%19.4%6,41219.050622%19.050622%19.1%3,3234017.265370%17.265370%17.3%1,2164116.830449%16.830449%16.8%3,5114216.198504%16.198504%16.2%5,7844316.169140%16.169140%16.2%2,8874415.355309%15.355309%15.4%9274515.279879%15.279879%15.3%40415.223570%15.223570%15.2%1,6074615.089125%15.089125%15.1%1,0924714.864635%14.864635%14.9%1,7464812.527446%12.527446%12.5%5,1354911.524365%11.524365%11.5%84950
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#23

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 Orange Township, selected other county subdivisions in Iowa, and entities that contain the Orange Township
0%5%10%Count#Iowa CityFranklin TownshipFranklinPenn TownshipWashington TownshipWashingtonBoone TownshipBooneGrinnellDecorah TownshipDecorahCedar FallsPleasant Valley TownshipPleasant VlyWalnut TownshipWalnutFairfieldWalnut TownshipWalnutWebster TownshipWebsterIndianolaCrocker TownshipCrockerLake Prairie TownshipLk PrairieDes Moines TownshipDes MoinesCarrollUnited States of AmericaUnited StatesWaverlyWest North CentralClay TownshipCedar RapidsMidwestStorm LakeTimber Creek TownshipTimber CrkDubuqueIowaMonroe TownshipMonroeJefferson TownshipJeffersonSioux CityLewis TownshipLewisMarion TownshipMarionOskaloosaDavenportWaterlooMason CityCenter TownshipCtrFort DodgeClintonBurlingtonDes Moines TownshipDes MoinesSpencerClinton Metro AreaClinton AreaClinton CountyClintonFour Mile TownshipFour MileKeokukBloomington TownshipBloomingtonTaylor TownshipTaylorBloomfield TownshipBloomfieldKnoxville TownshipKnoxvilleKane TownshipMadison TownshipMadisonLee TownshipNewton TownshipNewton001000Tract 001000Orange TownshipOrangeAmerica TownshipAmerica14.115089%14.115089%14.1%5,389112.982905%12.982905%13.0%1,929212.613451%12.613451%12.6%2,168310.688586%10.688586%10.7%1,72347.272364%7.272364%7.3%1,09157.056102%7.056102%7.1%36666.970954%6.970954%7.0%42076.472252%6.472252%6.5%1,39685.533239%5.533239%5.5%1,40595.496245%5.496245%5.5%2,569105.085981%5.085981%5.1%349114.714998%4.714998%4.7%785124.598317%4.598317%4.6%1,803134.247865%4.247865%4.2%388144.198692%4.198692%4.2%1,393154.140898%4.140898%4.1%308164.058461%4.058461%4.1%2,738174.012211%4.012211%4.0%276183.336158%3.336158%3.3%7,127,6737.13M3.017903%3.017903%3.0%177192.978981%2.978981%3.0%414,980415k2.975540%2.975540%3.0%354202.905776%2.905776%2.9%2,477212.893416%2.893416%2.9%1,311,0191.31M2.882226%2.882226%2.9%174222.848634%2.848634%2.8%220232.740183%2.740183%2.7%1,069242.675779%2.675779%2.7%55,09055.1k2.579300%2.579300%2.6%235252.526696%2.526696%2.5%168262.348003%2.348003%2.3%1,225272.332920%2.332920%2.3%207282.210854%2.210854%2.2%618292.208862%2.208862%2.2%169302.105201%2.105201%2.1%1,424311.999425%1.999425%2.0%904321.908397%1.908397%1.9%365331.764212%1.764212%1.8%315341.735358%1.735358%1.7%280351.592462%1.592462%1.6%289361.502035%1.502035%1.5%262371.487586%1.487586%1.5%139381.485085%1.485085%1.5%116391.398580%1.398580%1.4%4631.398580%1.398580%1.4%4631.340799%1.340799%1.3%91401.271245%1.271245%1.3%92411.248432%1.248432%1.2%199421.021624%1.021624%1.0%120431.021044%1.021044%1.0%213441.008093%1.008093%1.0%71450.873778%0.873778%0.9%312460.828017%0.828017%0.8%61470.727007%0.727007%0.7%298480.663130%0.663130%0.7%70490.340393%0.340393%0.3%90.286944%0.286944%0.3%20.255428%0.255428%0.3%1850
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#24

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 Orange Township, selected other county subdivisions in Iowa, and entities that contain the Orange Township
Female
Male
2x1x0x1x2xFM#WaverlyIndianolaWalnutCrockerKnoxvilleGrinnellPenn TownshipMonroeKane TownshipFort DodgeMadisonSpencerTimber CrkMason CityJeffersonCtrCedar RapidsTaylorIowaWaterlooSioux CityBloomfieldDecorahClintonWest North CentralMidwestOskaloosaKeokukLee TownshipUnited StatesDavenportStorm LakeCarrollWalnutFour MileDes MoinesBooneClinton AreaClintonDubuqueBurlingtonIowa CityLewisBloomingtonPleasant VlyNewtonCedar FallsTract 001000WashingtonMarionDes MoinesClay TownshipWebsterOrangeAmericaLk PrairieFairfieldFranklin-1.000000x-1.000000x2.540306x2.540306x2.54x2.517%2.52%6.395%6.39%1-1.000000x-1.000000x2.477245x2.477245x2.48x3.115%3.12%7.717%7.72%2-1.000000x-1.000000x2.344641x2.344641x2.34x0.776%0.78%1.818%1.82%3-1.000000x-1.000000x1.956829x1.956829x1.96x1.438%1.44%2.814%2.81%4-1.000000x-1.000000x1.942776x1.942776x1.94x4.996%5.00%9.706%9.71%5-1.000000x-1.000000x1.869010x1.869010x1.87x4.775%4.78%8.925%8.92%6-1.000000x-1.000000x1.708408x1.708408x1.71x1.856%1.86%3.172%3.17%7-1.000000x-1.000000x1.542957x1.542957x1.54x3.730%3.73%5.756%5.76%8-1.000000x-1.000000x1.432627x1.432627x1.43x10.746%10.7%15.395%15.4%9-1.000000x-1.000000x1.418629x1.418629x1.42x8.221%8.22%11.662%11.7%10-1.000000x-1.000000x1.414323x1.414323x1.41x6.350%6.35%8.981%8.98%11-1.000000x-1.000000x1.376484x1.376484x1.38x5.643%5.64%7.768%7.77%12-1.000000x-1.000000x1.361949x1.361949x1.36x10.030%10.0%13.660%13.7%13-1.000000x-1.000000x1.301303x1.301303x1.30x6.555%6.55%8.530%8.53%14-1.000000x-1.000000x1.278483x1.278483x1.28x0.990%0.99%1.266%1.27%15-1.000000x-1.000000x1.245854x1.245854x1.25x14.051%14.1%17.506%17.5%16-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%17-1.000000x-1.000000x1.224069x1.224069x1.22x21.242%21.2%26.002%26.0%18-1.000000x-1.000000x1.220410x1.220410x1.22x7.453%7.45%9.096%9.10%-1.000000x-1.000000x1.210088x1.210088x1.21x11.326%11.3%13.706%13.7%19-1.000000x-1.000000x1.209764x1.209764x1.21x14.699%14.7%17.782%17.8%20-1.000000x-1.000000x1.199435x1.199435x1.20x11.553%11.6%13.857%13.9%21-1.000000x-1.000000x1.197117x1.197117x1.20x4.257%4.26%5.096%5.10%22-1.000000x-1.000000x1.164071x1.164071x1.16x9.372%9.37%10.910%10.9%23-1.000000x-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-1.000000x1.127448x1.127448x1.13x8.294%8.29%9.351%9.35%24-1.000000x-1.000000x1.113761x1.113761x1.11x10.081%10.1%11.228%11.2%25-1.000000x-1.000000x1.113211x1.113211x1.11x17.342%17.3%19.305%19.3%26-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.096081x1.096081x1.10x8.447%8.45%9.259%9.26%27-1.000000x-1.000000x1.095872x1.095872x1.10x32.743%32.7%35.883%35.9%28-1.000000x-1.000000x1.086421x1.086421x1.09x7.812%7.81%8.487%8.49%29-1.000000x-1.000000x1.083485x1.083485x1.08x5.169%5.17%5.601%5.60%30-1.000000x-1.000000x1.077568x1.077568x1.08x8.112%8.11%8.741%8.74%31-1.000000x-1.000000x1.065665x1.065665x1.07x10.293%10.3%10.969%11.0%32-1.000000x-1.000000x1.040208x1.040208x1.04x1.531%1.53%1.592%1.59%33-1.000000x-1.000000x1.037913x1.037913x1.04x8.268%8.27%8.581%8.58%-1.000000x-1.000000x1.037913x1.037913x1.04x8.268%8.27%8.581%8.58%-1.000000x-1.000000x1.031402x1.031402x1.03x8.487%8.49%8.753%8.75%34-1.000000x-1.000000x1.017101x1.017101x1.02x9.133%9.13%9.289%9.29%35-1.000000x-1.000000x1.001400x1.001400x1.00x5.091%5.09%5.098%5.10%36-1.016767x-1.016767x1.02x1.000000x1.000000x9.266%9.27%9.113%9.11%37-1.029373x-1.029373x1.03x1.000000x1.000000x13.906%13.9%13.509%13.5%38-1.053887x-1.053887x1.05x1.000000x1.000000x2.776%2.78%2.634%2.63%39-1.120636x-1.120636x1.12x1.000000x1.000000x8.133%8.13%7.258%7.26%40-1.147614x-1.147614x1.15x1.000000x1.000000x4.689%4.69%4.086%4.09%41-1.176721x-1.176721x1.18x1.000000x1.000000x7.881%7.88%6.697%6.70%-1.176942x-1.176942x1.18x1.000000x1.000000x3.521%3.52%2.992%2.99%42-1.218480x-1.218480x1.22x1.000000x1.000000x4.040%4.04%3.316%3.32%43-1.223446x-1.223446x1.22x1.000000x1.000000x4.690%4.69%3.833%3.83%44-1.225257x-1.225257x1.23x1.000000x1.000000x5.892%5.89%4.809%4.81%45-1.305779x-1.305779x1.31x1.000000x1.000000x4.194%4.19%3.212%3.21%46-1.808743x-1.808743x1.81x1.000000x1.000000x10.383%10.4%5.740%5.74%-1.811108x-1.811108x1.81x1.000000x1.000000x11.813%11.8%6.522%6.52%47-1.837277x-1.837277x1.84x1.000000x1.000000x9.984%9.98%5.434%5.43%48-1.904625x-1.904625x1.90x1.000000x1.000000x6.022%6.02%3.162%3.16%49-2.935932x-2.935932x2.94x1.000000x1.000000x3.610%3.61%1.230%1.23%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#25

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 Orange Township, selected other county subdivisions in Iowa, and entities that contain the Orange Township
Female
Male
0x5x10xFM#OrangeAmericaFort DodgeBurlingtonLewisClintonTimber CrkClinton AreaClintonTaylorDes MoinesBloomingtonGrinnellStorm LakeIndianolaBooneWebsterFranklinSpencerSioux CityMadisonNewtonWalnutOskaloosaWalnutMason CityMarionPleasant VlyKeokukKane TownshipDecorahBloomfieldWaterlooIowaMidwestClay TownshipWest North CentralDes MoinesMonroeUnited StatesPenn TownshipWaverlyIowa CityWashingtonDubuqueCtrCedar RapidsCedar FallsDavenportLk PrairieFairfieldLee TownshipCarrollJeffersonTract 001000CrockerKnoxvilleFour Mile-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.604%0.60%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.534%0.53%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.258%0.26%3.234%3.23%2-1.000000x-1.000000x9.563497x9.563497x9.56x0.296%0.30%2.828%2.83%3-1.000000x-1.000000x4.823738x4.823738x4.82x0.850%0.85%4.100%4.10%4-1.000000x-1.000000x4.108012x4.108012x4.11x0.650%0.65%2.671%2.67%5-1.000000x-1.000000x3.650057x3.650057x3.65x1.260%1.26%4.599%4.60%6-1.000000x-1.000000x2.791501x2.791501x2.79x0.751%0.75%2.097%2.10%-1.000000x-1.000000x2.791501x2.791501x2.79x0.751%0.75%2.097%2.10%-1.000000x-1.000000x2.782408x2.782408x2.78x0.536%0.54%1.492%1.49%7-1.000000x-1.000000x2.616355x2.616355x2.62x0.840%0.84%2.197%2.20%8-1.000000x-1.000000x2.597604x2.597604x2.60x0.704%0.70%1.830%1.83%9-1.000000x-1.000000x2.367724x2.367724x2.37x4.394%4.39%10.405%10.4%10-1.000000x-1.000000x2.351158x2.351158x2.35x1.702%1.70%4.001%4.00%11-1.000000x-1.000000x2.346752x2.346752x2.35x2.665%2.66%6.253%6.25%12-1.000000x-1.000000x2.318950x2.318950x2.32x4.478%4.48%10.385%10.4%13-1.000000x-1.000000x2.249430x2.249430x2.25x2.870%2.87%6.456%6.46%14-1.000000x-1.000000x2.234393x2.234393x2.23x8.142%8.14%18.192%18.2%15-1.000000x-1.000000x2.214049x2.214049x2.21x0.945%0.94%2.091%2.09%16-1.000000x-1.000000x2.074278x2.074278x2.07x1.543%1.54%3.200%3.20%17-1.000000x-1.000000x2.065983x2.065983x2.07x0.534%0.53%1.103%1.10%18-1.000000x-1.000000x2.020024x2.020024x2.02x0.448%0.45%0.905%0.90%19-1.000000x-1.000000x1.983135x1.983135x1.98x3.184%3.18%6.315%6.32%20-1.000000x-1.000000x1.955040x1.955040x1.96x1.519%1.52%2.970%2.97%21-1.000000x-1.000000x1.939091x1.939091x1.94x3.765%3.76%7.300%7.30%22-1.000000x-1.000000x1.842379x1.842379x1.84x1.361%1.36%2.507%2.51%23-1.000000x-1.000000x1.837904x1.837904x1.84x1.572%1.57%2.888%2.89%24-1.000000x-1.000000x1.799036x1.799036x1.80x4.031%4.03%7.251%7.25%25-1.000000x-1.000000x1.794393x1.794393x1.79x0.916%0.92%1.644%1.64%26-1.000000x-1.000000x1.752742x1.752742x1.75x0.642%0.64%1.125%1.12%27-1.000000x-1.000000x1.740876x1.740876x1.74x5.127%5.13%8.926%8.93%28-1.000000x-1.000000x1.736126x1.736126x1.74x0.757%0.76%1.314%1.31%29-1.000000x-1.000000x1.716319x1.716319x1.72x1.488%1.49%2.554%2.55%30-1.000000x-1.000000x1.647686x1.647686x1.65x2.033%2.03%3.349%3.35%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.573124x1.573124x1.57x2.357%2.36%3.708%3.71%31-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.558261x1.558261x1.56x3.201%3.20%4.989%4.99%32-1.000000x-1.000000x1.537000x1.537000x1.54x2.039%2.04%3.133%3.13%33-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525582x1.525582x1.53x10.140%10.1%15.469%15.5%34-1.000000x-1.000000x1.511258x1.511258x1.51x2.418%2.42%3.654%3.65%35-1.000000x-1.000000x1.498643x1.498643x1.50x11.280%11.3%16.905%16.9%36-1.000000x-1.000000x1.456682x1.456682x1.46x8.590%8.59%12.513%12.5%37-1.000000x-1.000000x1.434870x1.434870x1.43x2.273%2.27%3.261%3.26%38-1.000000x-1.000000x1.361707x1.361707x1.36x1.502%1.50%2.046%2.05%39-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%40-1.000000x-1.000000x1.302438x1.302438x1.30x5.640%5.64%7.346%7.35%41-1.000000x-1.000000x1.295510x1.295510x1.30x1.841%1.84%2.386%2.39%42-1.000000x-1.000000x1.253677x1.253677x1.25x3.681%3.68%4.615%4.61%43-1.000000x-1.000000x1.220504x1.220504x1.22x4.562%4.56%5.568%5.57%44-1.000000x-1.000000x1.067448x1.067448x1.07x0.704%0.70%0.752%0.75%45-1.150911x-1.150911x1.15x1.000000x1.000000x4.273%4.27%3.713%3.71%46-1.205077x-1.205077x1.21x1.000000x1.000000x2.761%2.76%2.291%2.29%47-1.207249x-1.207249x1.21x1.000000x1.000000x0.372%0.37%0.308%0.31%-1.268545x-1.268545x1.27x1.000000x1.000000x4.690%4.69%3.697%3.70%48-1.351671x-1.351671x1.35x1.000000x1.000000x1.153%1.15%0.853%0.85%49-1.402982x-1.402982x1.40x1.000000x1.000000x1.555%1.55%1.108%1.11%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 Midwest

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

No H.S. Diploma by County Subdivision#26

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Orange Township, selected other county subdivisions in the Midwest, and entities that contain the Orange Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralCapital TownshipCapitalWheeling TownshipWheelingClinton Metro AreaClinton AreaClinton CountyClintonPalatine TownshipPalatineIowaOrange TownshipOrangeSchaumburg TownshipSchaumburg001000Tract 001000LincolnWashington 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%309,770310k1015.636222%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%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%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%9,123349.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.418668%8.418668%8.4%2,7878.418668%8.418668%8.4%2,7878.392669%8.392669%8.4%6,695378.255425%8.255425%8.3%169,966170k8.177905%8.177905%8.2%577.739434%7.739434%7.7%7,226387.299546%7.299546%7.3%1937.092309%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#27

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Orange Township, selected other county subdivisions in the Midwest, and entities that contain the Orange 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 CentralMidwestWichitaSterling HeightsSterling HtsIowaTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNOrange TownshipOrangeClinton Metro AreaClinton AreaClinton CountyClintonThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue Township001000Tract 001000Detroit72.810169%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%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.172145%27.172145%27.2%559,431559k27.007248%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%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4019.368723%19.368723%19.4%13519.368675%19.368675%19.4%6,41219.368675%19.368675%19.4%6,41218.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%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%16,95117.0k4915.279879%15.279879%15.3%40413.833543%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#28

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 Orange Township, selected other county subdivisions in the Midwest, and entities that contain the Orange 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 FallsOlatheIowaCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsClinton Metro AreaClinton AreaClinton CountyClintonKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton001000Tract 001000Orange TownshipOrange17.877867%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%2,349292.675779%2.675779%2.7%55,09055.1k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%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%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.398580%1.398580%1.4%4631.398580%1.398580%1.4%4631.388310%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%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.340393%0.340393%0.3%90.286944%0.286944%0.3%2
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#29

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 Orange Township, selected other county subdivisions in the Midwest, and entities that contain the Orange Township
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoIowaThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalClinton AreaClintonWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvTract 001000MiltonMaineOrange-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-1.000000x1.220410x1.220410x1.22x7.453%7.45%9.096%9.10%-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-1.000000x1.086583x1.086583x1.09x32.102%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-1.000000x1.037913x1.037913x1.04x8.268%8.27%8.581%8.58%-1.000000x-1.000000x1.037913x1.037913x1.04x8.268%8.27%8.581%8.58%-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%48-1.176721x-1.176721x1.18x1.000000x1.000000x7.881%7.88%6.697%6.70%-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%50-1.808743x-1.808743x1.81x1.000000x1.000000x10.383%10.4%5.740%5.74%
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#30

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 Orange Township, selected other county subdivisions in the Midwest, and entities that contain the Orange Township
Female
Male
0x5x10xFM#OrangeClinton AreaClintonRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaIowaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoTract 001000Thornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.604%0.60%-1.000000x-1.000000x2.791501x2.791501x2.79x0.751%0.75%2.097%2.10%-1.000000x-1.000000x2.791501x2.791501x2.79x0.751%0.75%2.097%2.10%-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-1.000000x1.647686x1.647686x1.65x2.033%2.03%3.349%3.35%-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-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-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%49-1.207249x-1.207249x1.21x1.000000x1.000000x0.372%0.37%0.308%0.31%-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%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 Orange Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Orange Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#31

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Orange Township, selected other county subdivisions in the United States, and entities that contain the Orange 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 VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleClinton Metro AreaClinton AreaClinton CountyClintonNortheast TarrantNE TarrantIowaOrange TownshipOrange001000Tract 001000PlanoSeattle 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%308,569309k2614.325556%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%84,02484.0k3612.262851%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%43,65343.7k4110.435356%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%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418668%8.418668%8.4%2,7878.418668%8.418668%8.4%2,7878.418271%8.418271%8.4%31,44331.4k488.255425%8.255425%8.3%169,966170k8.177905%8.177905%8.2%577.299546%7.299546%7.3%1935.714681%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#32

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Orange Township, selected other county subdivisions in the United States, and entities that contain the Orange 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…SacramentoEast San Gabriel ValleyE San Gabriel VlyIowaOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoOrange TownshipOrangeClinton Metro AreaClinton AreaClinton CountyClintonBronxSan Bernardino001000Tract 001000San 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%209,283209k3627.276345%27.276345%27.3%170,682171k3727.172145%27.172145%27.2%559,431559k26.758411%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%72,12072.1k4619.368723%19.368723%19.4%13519.368675%19.368675%19.4%6,41219.368675%19.368675%19.4%6,41219.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.279879%15.279879%15.3%40414.929012%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#33

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 Orange Township, selected other county subdivisions in the United States, and entities that contain the Orange 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 CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisIowaNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxClinton Metro AreaClinton AreaClinton CountyClintonDetroit001000Tract 001000Orange TownshipOrange12.461852%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%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.675779%2.675779%2.7%55,09055.1k2.630994%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%15,06415.1k491.398580%1.398580%1.4%4631.398580%1.398580%1.4%4631.318660%1.318660%1.3%5,693500.340393%0.340393%0.3%90.286944%0.286944%0.3%2
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#34

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 Orange Township, selected other county subdivisions in the United States, and entities that contain the Orange Township
Female
Male
1x0x1xFM#1, CharlotteDetroitIowaBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisClinton AreaClintonBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoTract 001000San FranciscoEl PasoOrange-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-1.000000x1.220410x1.220410x1.22x7.453%7.45%9.096%9.10%-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-1.000000x1.081887x1.081887x1.08x26.536%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-1.000000x1.037913x1.037913x1.04x8.268%8.27%8.581%8.58%-1.000000x-1.000000x1.037913x1.037913x1.04x8.268%8.27%8.581%8.58%-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%48-1.176721x-1.176721x1.18x1.000000x1.000000x7.881%7.88%6.697%6.70%-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%50-1.808743x-1.808743x1.81x1.000000x1.000000x10.383%10.4%5.740%5.74%
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#35

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 Orange Township, selected other county subdivisions in the United States, and entities that contain the Orange Township
Female
Male
0x5x10xFM#OrangeClinton AreaClintonEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixIowaTucson1, CharlotteMidwestNW HarrisLas VegasWest 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 FranciscoDetroitTract 001000-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.604%0.60%-1.000000x-1.000000x2.791501x2.791501x2.79x0.751%0.75%2.097%2.10%-1.000000x-1.000000x2.791501x2.791501x2.79x0.751%0.75%2.097%2.10%-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-1.000000x1.647686x1.647686x1.65x2.033%2.03%3.349%3.35%-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-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%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%50-1.207249x-1.207249x1.21x1.000000x1.000000x0.372%0.37%0.308%0.31%
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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Iowa
County:
Clinton
Metro Area:
Clinton Area
City:
Grand Mound
ZIP Codes:
52742, 52751
Unified School Districts:
Calamus-Wheatland, Central DeWitt
Congressional District:
IA-2
State Senate District:
IA-49
State House District:
IA-97
Neighboring Townships:
Allens Grove, De Witt, Grant, Olive, Welton, Winfield
Nearby Townships:
Bloomfield, Brookfield, Butler, Eden, Hickory Grove, Liberty, Lincoln, Sheridan, Spring Rock, Washington