Educational Attainment in the Monroe Township, Linn County, Iowa (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Linn County and the Monroe Township
Monroe Township
Linn County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma245.044452%44.374694%45.044452%45.0%4,10450.225003%50.255993%50.225003%50.2%4,5764.730545%5.369313%4.730545%4.7%431
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 Linn County at large.
Scope: population of Linn County and the Monroe Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma21.509323%1.509323%+1.5%45.044%45.0%44.375%44.4%-0.061665%-0.061665%-0.1%50.225%50.2%50.256%50.3%-11.896626%-11.896626%-11.9%4.731%4.73%5.369%5.37%
% percentage with given level in the Monroe Township
ref. percentage with given level in Linn 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 Linn County and the Monroe Township
Monroe Township
Linn County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.031720%1.026040%1.031720%1.0%941.547580%1.631053%1.547580%1.5%1418.111075%7.526133%8.111075%8.1%73923.268576%22.047119%23.268576%23.3%2,12011.085501%12.144349%11.085501%11.1%1,01019.734387%23.024235%19.734387%19.7%1,79830.490616%27.231758%30.490616%30.5%2,7784.368346%3.783739%4.368346%4.4%3980.230491%1.028797%0.230491%0.2%210.131709%0.556777%0.131709%0.1%12
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 Linn County at large.
Scope: population of Linn County and the Monroe Township
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.553542%0.553542%+0.6%1.032%1.03%1.026%1.03%-5.117729%-5.117729%-5.1%1.548%1.55%1.631%1.63%7.772134%7.772134%+7.8%8.111%8.11%7.526%7.53%5.540212%5.540212%+5.5%23.269%23.3%22.047%22.0%-8.718849%-8.718849%-8.7%11.086%11.1%12.144%12.1%-14.288631%-14.288631%-14.3%19.734%19.7%23.024%23.0%11.967121%11.967121%+12.0%30.491%30.5%27.232%27.2%15.450507%15.450507%+15.5%4.368%4.37%3.784%3.78%-77.596096%-77.596096%-77.6%0.230%0.23%1.029%1.03%-76.344393%-76.344393%-76.3%0.132%0.13%0.557%0.56%
% percentage with given level in the Monroe Township
ref. percentage with given level in Linn 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 Linn County and the Monroe Township
More Females More Males
Linn County
Monroe Township
20%0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-5.816639%25.089177%25.089177%25%40.078%40.1%50.133%50.1%-27.386760%-27.386760%27%2.904949%56.192%56.2%44.111%44.1%54.295736%21.989098%54.295736%54%3.730%3.73%5.756%5.76%
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 Linn County and the Monroe Township
More Females More Males
Linn County
Monroe Township
1,000%500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None38.330000%51.868029%38.330000%38%0.867%0.87%1.200%1.20%65.085185%39.086327%65.085185%65%1.171%1.17%1.933%1.93%86.551908%5.067450%86.551908%87%5.682%5.68%10.600%10.6%-2.744981%2.660183%2.660183%3%22.967%23.0%23.578%23.6%-30.943616%36.543341%36.543341%37%9.391%9.39%12.822%12.8%-87.263940%-3.920148%-87.263940%87%25.634%25.6%13.689%13.7%-0.444217%-0.444217%0%8.904942%30.557%30.6%30.422%30.4%84.728638%30.600062%84.728638%85%3.080%3.08%5.689%5.69%-1,000.000000%-1,000.000000%> 1000%29.818947%0.455%0.46%0.000%0%-192.778139%-46.557882%-192.778139%193%0.195%0.20%0.067%0.07%
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 Linn County and the Monroe Township
Monroe Township
Linn County
0%10%20%30%B.X.Total65+45-6435-4425-3412.736742%13.993053%12.736742%12.7%2692,11221.493105%20.354641%21.493105%21.5%9044,20638.849432%26.983104%38.849432%38.8%5471,40828.880866%29.051051%28.880866%28.9%4001,385
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 Linn County at large.
Scope: population of Linn County and the Monroe Township
0%10%20%30%40%%ref.65+45-6435-4425-34-8.978104%-8.978104%9.0%12.737%12.7%13.993%14.0%5.593141%5.593141%5.6%21.493%21.5%20.355%20.4%43.976881%43.976881%44.0%38.849%38.8%26.983%27.0%-0.585811%-0.585811%0.6%28.881%28.9%29.051%29.1%
% percentage in the Monroe Township with a Bachelor's degree
ref percentage in Linn 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 Linn County and the Monroe Township
More Females More Males
Linn County
Monroe Township
30%20%10%0%10%20%FM65+45-6435-4425-3426.238252%24.578800%26.238252%26.2%11.339%11.3%14.315%14.3%20.352594%12.127390%20.352594%20.4%19.567%19.6%23.550%23.5%-23.764621%-23.138196%-23.764621%23.8%43.086%43.1%34.813%34.8%-33.014366%-30.582141%-33.014366%33.0%33.386%33.4%25.100%25.1%
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 Linn County and the Monroe Township
Monroe Township
Linn County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$86,250.000000$69,986.000000$86,250.000000$86.3k97410.690%10.7%$58,173.000000$51,665.000000$58,173.000000$58.2k2,12023.269%23.3%$38,440.000000$37,115.000000$38,440.000000$38.4k2,80830.820%30.8%$30,900.000000$31,026.000000$30,900.000000$30.9k2,77830.491%30.5%$30,060.000000$25,135.000000$30,060.000000$30.1k4314.731%4.73%$41,058.000000$40,748.000000$41,058.000000$41.1k9,111100.000%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 Linn County and the Monroe Township
Female Male
Linn County
Monroe Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-73,882.000000$-59,619.000000$-73,882.000000$73.9k$73,882.000000$29,243.000000$59,619.000000$24,257.000000$103,125.000000$103.1k356618$-41,099.000000$-41,471.000000$-41,099.000000$41.1k$41,099.000000$26,010.000000$41,471.000000$24,602.000000$67,109.000000$67.1k1,0591,061$-34,353.000000$-30,453.000000$-34,353.000000$34.4k$34,353.000000$8,133.000000$30,453.000000$15,887.000000$42,486.000000$42.5k1,6151,193$-19,107.000000$-25,216.000000$-19,107.000000$19.1k$19,107.000000$17,432.000000$25,216.000000$11,742.000000$36,539.000000$36.5k1,4091,369$-17,176.000000$-12,282.000000$-17,176.000000$17.2k$17,176.000000$13,737.000000$12,282.000000$18,551.000000$30,913.000000$30.9k172259$-33,393.000000$-32,370.000000$-33,393.000000$33.4k$33,393.000000$18,634.000000$32,370.000000$16,986.000000$52,027.000000$52.0k4,6114,500
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 Linn County and the Monroe Township
Monroe Township
Linn County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma383.213882%87.291787%83.213882%83.2%2,20680.087527%82.456263%80.087527%80.1%1,83062.918796%76.120583%62.918796%62.9%1,10893.046358%58.006603%93.046358%93.0%281
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 Linn County and the Monroe Township
Female Male
Linn County
Monroe Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-2.795854%-4.095927%-2.795854%2.8%2.795854%1.023761%4.095927%1.073797%3.819616%3.8%155116-0.000000%-17.358079%-1.078376%0.000000%0.0%0.000000%55.913978%17.358079%55.913978%55.9%1040-0.000000%-33.884298%-1.597222%-4.057162%-33.884298%33.9%0.000000%1.597222%0.000000%0.0%041-0.000000%-44.117647%-16.124567%-44.117647%44.1%0.000000%16.124567%3.517105%0.000000%0.0%015-0.000000%-44.117647%-17.701863%-0.593876%-44.117647%44.1%0.000000%17.701863%0.000000%0.0%015
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 Linn County and the Monroe Township
Female Male
Linn County
Monroe Township
Shaded bar tips show excess over facing bar.
50%0%50%MFWhite1BlackAsianHispanic2Other1-32.104121%-31.966074%-32.104121%32.1%32.104121%4.983114%31.966074%0.556077%37.087235%37.1%1,5051,332-11.643836%-16.011706%-11.643836%11.6%11.643836%10.936810%16.011706%0.254670%22.580645%22.6%4234-37.190083%-62.388818%-37.190083%37.2%37.190083%39.125707%62.388818%9.138959%76.315789%76.3%8745-11.764706%-21.314879%-11.764706%11.8%11.764706%39.371658%21.314879%5.692420%51.136364%51.1%454-0.000000%-11.764706%-24.895572%-11.764706%11.8%0.000000%24.895572%9.887036%0.000000%0.0%04
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Monroe Township

Coarse: Post-Secondary Degree Educational Attainment by Tract#15

Percentage of the population 25 years and older with given highest level of educational attainment
36%43%49%55%62%69%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
28%34%40%46%52%58%

Coarse: No High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
2.5%3.5%4.5%5.5%6.5%7.6%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.53%0.99%1.44%1.90%2.36%2.82%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%1.8%3.0%4.2%5.4%6.6%

Detailed: Master's Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
3.3%5.6%7.9%10.1%12.3%14.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
21.9%24.9%27.9%30.9%33.8%36.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.0%8.8%10.5%12.2%14.0%15.8%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
12.7%15.1%17.6%20.0%22.4%24.9%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
15.6%19.0%22.4%25.8%29.2%32.6%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
1.0%2.1%3.1%4.1%5.2%6.2%

Detailed: Less than High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.18%0.37%0.55%0.73%0.92%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.41%0.82%1.23%1.64%2.05%
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Educational Attainment by County Subdivision in the Cedar Rapids Area

There are 59 county subdivisions in the Cedar Rapids Area. This section compares the Monroe Township to the 50 most populous county subdivisions in the Cedar Rapids Area and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 366.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Township, selected other county subdivisions in the Cedar Rapids Area, and entities that contain the Monroe Township
0%10%20%30%Count#Harrison TownshipHarrisonSpring Grove TownshipSpg GrvCedar TownshipCedarJackson TownshipJacksonUnited States of AmericaUnited StatesBelle PlaineBenton TownshipBentonWyoming TownshipWyomingBuffalo TownshipBuffaloRome TownshipMidwestJackson TownshipJacksonLeroy TownshipLeroyWest North CentralGrant TownshipGrantFairview TownshipFairviewLovell TownshipLovellIowaJackson TownshipJacksonOxford TownshipOxfordPolk TownshipMadison TownshipMadisonKane TownshipBertram TownshipBertramOtter Creek TownshipOtter CrkBoulder TownshipBoulderLinn TownshipCass TownshipCedar RapidsRichland TownshipRichlandBrown TownshipBrownCedar Rapids Metro AreaCedar RapidsVintonLinn CountyLinnFranklin TownshipFranklinFremont TownshipFremontWashington TownshipWashingtonGreenfield TownshipGreenfieldWashington TownshipWashingtonWayne TownshipWayneSt. Clair TownshipSt. ClairMonroe TownshipMonroeUnion TownshipUnionShellsburgCanton TownshipCantonTaylor TownshipTaylorMaine TownshipMaineMarion TownshipMarionFlorence TownshipFlorencePutnam TownshipPutnamCollege TownshipCollegeFayette TownshipFayetteScotch Grove TownshipScotch GrvClinton TownshipClintonFairfax TownshipFairfaxEldorado TownshipEldorado38.271605%38.271605%38.3%93116.616766%16.616766%16.6%111214.560440%14.560440%14.6%53313.409962%13.409962%13.4%70413.020590%13.020590%13.0%27,818,38027.8M12.868949%12.868949%12.9%218511.631420%11.631420%11.6%77611.252269%11.252269%11.3%62711.221945%11.221945%11.2%45811.221945%11.221945%11.2%90910.244520%10.244520%10.2%4,641,8354.64M9.716599%9.716599%9.7%24109.610984%9.610984%9.6%84119.174633%9.174633%9.2%1,278,0511.28M8.897243%8.897243%8.9%71128.571429%8.571429%8.6%465138.352144%8.352144%8.4%296148.255425%8.255425%8.3%169,966170k8.147430%8.147430%8.1%84157.924528%7.924528%7.9%42167.630814%7.630814%7.6%105177.486631%7.486631%7.5%28187.142857%7.142857%7.1%45196.939655%6.939655%6.9%161206.289979%6.289979%6.3%59216.179775%6.179775%6.2%22226.163022%6.163022%6.2%31236.105263%6.105263%6.1%29245.981653%5.981653%6.0%5,099255.871212%5.871212%5.9%31265.870307%5.870307%5.9%86275.763043%5.763043%5.8%10,20910.2k5.515521%5.515521%5.5%199285.369313%5.369313%5.4%7,7925.264447%5.264447%5.3%215295.177994%5.177994%5.2%80305.109489%5.109489%5.1%14315.043860%5.043860%5.0%23325.006766%5.006766%5.0%111334.899777%4.899777%4.9%22344.819277%4.819277%4.8%12354.730545%4.730545%4.7%431364.591837%4.591837%4.6%27374.450626%4.450626%4.5%32384.347826%4.347826%4.3%24393.943662%3.943662%3.9%28403.840246%3.840246%3.8%50413.688334%3.688334%3.7%1,031423.673469%3.673469%3.7%45433.620352%3.620352%3.6%74443.482587%3.482587%3.5%14453.055229%3.055229%3.1%26462.500000%2.500000%2.5%7472.079395%2.079395%2.1%11482.066116%2.066116%2.1%60491.632209%1.632209%1.6%1550
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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in the Cedar Rapids Area, and entities that contain the Monroe Township
0%10%20%30%40%Count#Franklin TownshipFranklinMarion TownshipMarionWayne TownshipWayneFairfax TownshipFairfaxMonroe TownshipMonroeLinn CountyLinnCollege TownshipCollegeCedar RapidsBertram TownshipBertramUnited States of AmericaUnited StatesWest North CentralCedar Rapids Metro AreaCedar RapidsSpring Grove TownshipSpg GrvHarrison TownshipHarrisonPutnam TownshipPutnamFremont TownshipFremontMidwestRichland TownshipRichlandVintonIowaFlorence TownshipFlorenceWashington TownshipWashingtonGreenfield TownshipGreenfieldTaylor TownshipTaylorSt. Clair TownshipSt. ClairMadison TownshipMadisonWashington TownshipWashingtonPolk TownshipLinn TownshipCanton TownshipCantonJackson TownshipJacksonBuffalo TownshipBuffaloJackson TownshipJacksonEldorado TownshipEldoradoJackson TownshipJacksonGrant TownshipGrantUnion TownshipUnionBoulder TownshipBoulderOtter Creek TownshipOtter CrkClinton TownshipClintonCedar TownshipCedarBrown TownshipBrownKane TownshipFairview TownshipFairviewLovell TownshipLovellMaine TownshipMaineFayette TownshipFayetteBelle PlaineWyoming TownshipWyomingShellsburgScotch Grove TownshipScotch GrvLeroy TownshipLeroyBenton TownshipBentonCass TownshipRome TownshipOxford TownshipOxford45.837414%45.837414%45.8%1,872136.278754%36.278754%36.3%10,14110.1k234.521158%34.521158%34.5%155334.297521%34.297521%34.3%996433.958951%33.958951%34.0%3,094532.230346%32.230346%32.2%46,77346.8k32.089552%32.089552%32.1%129631.793440%31.793440%31.8%27,10227.1k730.517241%30.517241%30.5%708830.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.922776%29.922776%29.9%53,00753.0k29.790419%29.790419%29.8%199929.629630%29.629630%29.6%721029.403131%29.403131%29.4%6011129.255663%29.255663%29.3%4521228.952816%28.952816%29.0%13,118,64213.1M28.219697%28.219697%28.2%1491327.522173%27.522173%27.5%9931427.172145%27.172145%27.2%559,431559k26.285714%26.285714%26.3%3221525.912409%25.912409%25.9%711625.877193%25.877193%25.9%1181723.098592%23.098592%23.1%1641822.489960%22.489960%22.5%561922.192513%22.192513%22.2%832021.921516%21.921516%21.9%4862121.875000%21.875000%21.9%3012221.272366%21.272366%21.3%1072320.652174%20.652174%20.7%1142420.465567%20.465567%20.5%2112520.199501%20.199501%20.2%812619.838057%19.838057%19.8%492719.477693%19.477693%19.5%1792819.348659%19.348659%19.3%1012918.671679%18.671679%18.7%1493018.537415%18.537415%18.5%1093117.977528%17.977528%18.0%643217.377399%17.377399%17.4%1633317.202268%17.202268%17.2%913417.032967%17.032967%17.0%623516.996587%16.996587%17.0%2493616.349206%16.349206%16.3%1033716.129032%16.129032%16.1%8753815.886005%15.886005%15.9%5633915.360983%15.360983%15.4%2004015.276146%15.276146%15.3%1304115.230224%15.230224%15.2%2584215.063521%15.063521%15.1%834314.603616%14.603616%14.6%1054412.857143%12.857143%12.9%364512.700229%12.700229%12.7%1114612.537764%12.537764%12.5%834711.789474%11.789474%11.8%56487.481297%7.481297%7.5%60496.037736%6.037736%6.0%3250
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#30

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 Monroe Township, selected other county subdivisions in the Cedar Rapids Area, and entities that contain the Monroe Township
0%2%4%6%8%10%Count#St. Clair TownshipSt. ClairFranklin TownshipFranklinJackson TownshipJacksonTaylor TownshipTaylorBuffalo TownshipBuffaloHarrison TownshipHarrisonBertram TownshipBertramGreenfield TownshipGreenfieldUnited States of AmericaUnited StatesWest North CentralCedar RapidsMidwestIowaLinn CountyLinnMonroe TownshipMonroeBoulder TownshipBoulderJackson TownshipJacksonLinn TownshipCedar Rapids Metro AreaCedar RapidsMarion TownshipMarionFairfax TownshipFairfaxMaine TownshipMaineWayne TownshipWayneWashington TownshipWashingtonLovell TownshipLovellVintonJackson TownshipJacksonPolk TownshipFayette TownshipFayettePutnam TownshipPutnamWashington TownshipWashingtonFlorence TownshipFlorenceFremont TownshipFremontKane TownshipFairview TownshipFairviewOxford TownshipOxfordBelle PlaineUnion TownshipUnionRome TownshipOtter Creek TownshipOtter CrkBrown TownshipBrownLeroy TownshipLeroyEldorado TownshipEldoradoGrant TownshipGrantShellsburgSpring Grove TownshipSpg GrvCanton TownshipCantonBenton TownshipBentonRichland TownshipRichlandWyoming TownshipWyomingCass TownshipClinton TownshipClintonMadison TownshipMadisonCollege TownshipCollegeCedar TownshipCedarScotch Grove TownshipScotch Grv10.441767%10.441767%10.4%2616.096964%6.096964%6.1%24925.263158%5.263158%5.3%1335.070423%5.070423%5.1%3644.738155%4.738155%4.7%1954.115226%4.115226%4.1%1063.793103%3.793103%3.8%8873.728070%3.728070%3.7%1783.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.905776%2.905776%2.9%2,47792.893416%2.893416%2.9%1,311,0191.31M2.675779%2.675779%2.7%55,09055.1k2.657093%2.657093%2.7%3,8562.579300%2.579300%2.6%235102.528090%2.528090%2.5%9112.490421%2.490421%2.5%13122.385686%2.385686%2.4%12132.360765%2.360765%2.4%4,1822.210854%2.210854%2.2%618142.031680%2.031680%2.0%59151.766513%1.766513%1.8%23161.559020%1.559020%1.6%7171.459854%1.459854%1.5%4181.439052%1.439052%1.4%51191.330377%1.330377%1.3%48201.260912%1.260912%1.3%13211.090116%1.090116%1.1%15221.057579%1.057579%1.1%9231.027397%1.027397%1.0%21240.766802%0.766802%0.8%17250.653061%0.653061%0.7%8260.647249%0.647249%0.6%10270.634921%0.634921%0.6%4280.626728%0.626728%0.6%34290.566038%0.566038%0.6%3300.531287%0.531287%0.5%9310.510204%0.510204%0.5%3320.374065%0.374065%0.4%3330.319829%0.319829%0.3%3340.273038%0.273038%0.3%4350.228833%0.228833%0.2%2360.217628%0.217628%0.2%2370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
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#31

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 Monroe Township, selected other county subdivisions in the Cedar Rapids Area, and entities that contain the Monroe Township
Female
Male
10x5x0x5x10xFM#Cass TownshipClintonScotch GrvEldoradoFranklinRome TownshipFairfaxVintonOtter CrkJacksonHarrisonBuffaloGreenfieldUnionWashingtonMaineFairviewBoulderBelle PlaineLeroyWyomingFlorenceTaylorMadisonPolk TownshipMonroeKane TownshipJacksonCedar RapidsLovellCedar RapidsFremontIowaLinnBrownWest North CentralMidwestJacksonUnited StatesOxfordWashingtonMarionPutnamBertramGrantLinn TownshipWayneRichlandShellsburgCedarSpg GrvBentonFayetteCantonCollegeSt. Clair-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%12.664%12.7%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.846%3.85%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.072%5.07%3-1.000000x-1.000000x7.621749x7.621749x7.62x0.403%0.40%3.073%3.07%4-1.000000x-1.000000x6.976229x6.976229x6.98x1.300%1.30%9.069%9.07%5-1.000000x-1.000000x4.559050x4.559050x4.56x4.116%4.12%18.766%18.8%6-1.000000x-1.000000x4.140803x4.140803x4.14x0.786%0.79%3.256%3.26%7-1.000000x-1.000000x4.004448x4.004448x4.00x2.272%2.27%9.096%9.10%8-1.000000x-1.000000x3.645688x3.645688x3.65x2.731%2.73%9.957%9.96%9-1.000000x-1.000000x3.557522x3.557522x3.56x4.478%4.48%15.929%15.9%10-1.000000x-1.000000x3.307955x3.307955x3.31x17.886%17.9%59.167%59.2%11-1.000000x-1.000000x3.280193x3.280193x3.28x5.155%5.15%16.908%16.9%12-1.000000x-1.000000x3.183471x3.183471x3.18x2.336%2.34%7.438%7.44%13-1.000000x-1.000000x3.058852x3.058852x3.06x2.417%2.42%7.393%7.39%14-1.000000x-1.000000x3.042038x3.042038x3.04x2.524%2.52%7.678%7.68%15-1.000000x-1.000000x2.384058x2.384058x2.38x2.280%2.28%5.435%5.43%16-1.000000x-1.000000x2.100721x2.100721x2.10x5.326%5.33%11.189%11.2%17-1.000000x-1.000000x2.071823x2.071823x2.07x4.000%4.00%8.287%8.29%18-1.000000x-1.000000x1.911427x1.911427x1.91x9.041%9.04%17.281%17.3%19-1.000000x-1.000000x1.896552x1.896552x1.90x6.636%6.64%12.586%12.6%20-1.000000x-1.000000x1.892256x1.892256x1.89x7.829%7.83%14.815%14.8%21-1.000000x-1.000000x1.888021x1.888021x1.89x2.560%2.56%4.833%4.83%22-1.000000x-1.000000x1.722364x1.722364x1.72x2.821%2.82%4.859%4.86%23-1.000000x-1.000000x1.688083x1.688083x1.69x5.525%5.52%9.326%9.33%24-1.000000x-1.000000x1.686248x1.686248x1.69x5.590%5.59%9.426%9.43%25-1.000000x-1.000000x1.542957x1.542957x1.54x3.730%3.73%5.756%5.76%26-1.000000x-1.000000x1.503497x1.503497x1.50x5.814%5.81%8.741%8.74%27-1.000000x-1.000000x1.427041x1.427041x1.43x6.754%6.75%9.639%9.64%28-1.000000x-1.000000x1.316098x1.316098x1.32x4.992%4.99%6.570%6.57%-1.000000x-1.000000x1.308280x1.308280x1.31x7.288%7.29%9.535%9.54%29-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%30-1.000000x-1.000000x1.227669x1.227669x1.23x4.626%4.63%5.679%5.68%31-1.000000x-1.000000x1.220410x1.220410x1.22x7.453%7.45%9.096%9.10%-1.000000x-1.000000x1.219891x1.219891x1.22x4.851%4.85%5.917%5.92%-1.000000x-1.000000x1.214120x1.214120x1.21x5.292%5.29%6.426%6.43%32-1.000000x-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-1.000000x1.126031x1.126031x1.13x12.552%12.6%14.134%14.1%33-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.043382x-1.043382x1.04x1.000000x1.000000x8.088%8.09%7.752%7.75%34-1.091603x-1.091603x1.09x1.000000x1.000000x5.344%5.34%4.895%4.90%35-1.218480x-1.218480x1.22x1.000000x1.000000x4.040%4.04%3.316%3.32%36-1.276936x-1.276936x1.28x1.000000x1.000000x4.067%4.07%3.185%3.19%37-1.361208x-1.361208x1.36x1.000000x1.000000x8.014%8.01%5.887%5.89%38-1.507540x-1.507540x1.51x1.000000x1.000000x10.742%10.7%7.125%7.13%39-1.722184x-1.722184x1.72x1.000000x1.000000x8.173%8.17%4.746%4.75%40-1.800351x-1.800351x1.80x1.000000x1.000000x6.148%6.15%3.415%3.41%41-1.888382x-1.888382x1.89x1.000000x1.000000x7.722%7.72%4.089%4.09%42-1.984656x-1.984656x1.98x1.000000x1.000000x5.820%5.82%2.933%2.93%43-1.987654x-1.987654x1.99x1.000000x1.000000x19.444%19.4%9.783%9.78%44-2.479643x-2.479643x2.48x1.000000x1.000000x23.926%23.9%9.649%9.65%45-8.021501x-8.021501x8.02x1.000000x1.000000x20.117%20.1%2.508%2.51%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.556%5.56%0.477%0.48%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.421%8.42%0.000%0%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.983%5.98%0.000%0%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x9.302%9.30%0.000%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#32

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 Monroe Township, selected other county subdivisions in the Cedar Rapids Area, and entities that contain the Monroe Township
Female
Male
10x5x0x5x10xFM#FairviewVintonBelle PlaineBrownEldoradoLeroyLinn TownshipJacksonOxfordGreenfieldBoulderSt. ClairWashingtonJacksonLovellBertramFayetteWashingtonTaylorOtter CrkMarionJacksonIowaMidwestWest North CentralMonroeUnited StatesCedar RapidsFranklinLinnCedar RapidsKane TownshipMainePutnamFairfaxFremontBuffaloPolk TownshipFlorenceRome TownshipUnionWayneHarrison-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.132%1.13%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.799%2.80%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.144%1.14%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.535%0.54%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.473%0.47%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.458%0.46%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.068%4.07%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.594%4.59%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.163%1.16%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.025%7.02%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.972%4.97%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%21.667%21.7%12-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.797%2.80%13-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.504%11.5%14-1.000000x-1.000000x4.559356x4.559356x4.56x0.536%0.54%2.443%2.44%15-1.000000x-1.000000x3.809253x3.809253x3.81x1.568%1.57%5.973%5.97%16-1.000000x-1.000000x3.608592x3.608592x3.61x0.463%0.46%1.671%1.67%17-1.000000x-1.000000x3.496489x3.496489x3.50x0.348%0.35%1.217%1.22%18-1.000000x-1.000000x2.447570x2.447570x2.45x2.821%2.82%6.905%6.91%19-1.000000x-1.000000x2.060606x2.060606x2.06x0.210%0.21%0.433%0.43%20-1.000000x-1.000000x1.837904x1.837904x1.84x1.572%1.57%2.888%2.89%21-1.000000x-1.000000x1.712450x1.712450x1.71x0.938%0.94%1.606%1.61%22-1.000000x-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-1.000000x1.537000x1.537000x1.54x2.039%2.04%3.133%3.13%23-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516116x1.516116x1.52x1.885%1.89%2.858%2.86%-1.000000x-1.000000x1.478710x1.478710x1.48x4.900%4.90%7.246%7.25%24-1.000000x-1.000000x1.438687x1.438687x1.44x2.190%2.19%3.151%3.15%-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%25-1.000000x-1.000000x1.202797x1.202797x1.20x0.581%0.58%0.699%0.70%26-1.835106x-1.835106x1.84x1.000000x1.000000x2.280%2.28%1.242%1.24%27-2.055556x-2.055556x2.06x1.000000x1.000000x1.389%1.39%0.676%0.68%28-2.097748x-2.097748x2.10x1.000000x1.000000x2.788%2.79%1.329%1.33%29-2.571429x-2.571429x2.57x1.000000x1.000000x0.952%0.95%0.370%0.37%30-2.987629x-2.987629x2.99x1.000000x1.000000x7.216%7.22%2.415%2.42%31-4.546584x-4.546584x4.55x1.000000x1.000000x1.863%1.86%0.410%0.41%32-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.280%1.28%0.000%0%33-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.726%0.73%0.000%0%34-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.906%0.91%0.000%0%35-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.869%2.87%0.000%0%36-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.130%8.13%0.000%0%37
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 37 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 Monroe Township to the 50 most populous county subdivisions in Iowa and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 9,112.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Township, selected other county subdivisions in Iowa, and entities that contain the Monroe 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 CentralDavenportOskaloosaDubuqueFour Mile TownshipFour MileIowaCarrollLake Prairie TownshipLk PrairieNewton TownshipNewtonMadison TownshipMadisonMason CityKnoxville TownshipKnoxvilleSpencerGrinnellCedar RapidsCedar Rapids Metro AreaCedar RapidsClay TownshipWalnut TownshipWalnutLinn CountyLinnIndianolaIowa 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%3,360208.413143%8.413143%8.4%571218.255425%8.255425%8.3%169,966170k8.126181%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%1,434267.269629%7.269629%7.3%512276.644476%6.644476%6.6%519286.612686%6.612686%6.6%343295.981653%5.981653%6.0%5,099305.763043%5.763043%5.8%10,20910.2k5.396318%5.396318%5.4%642315.380715%5.380715%5.4%2,515325.369313%5.369313%5.4%7,7925.145610%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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in Iowa, and entities that contain the Monroe 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 TownshipLinn CountyLinnCedar RapidsGrinnellFour Mile TownshipFour MileUnited States of AmericaUnited StatesWest North CentralCedar Rapids Metro AreaCedar RapidsDubuqueMidwestIndianolaTimber Creek TownshipTimber CrkIowaDavenportCarrollLewis TownshipLewisOskaloosaFort DodgeWaterlooSpencerMason CitySioux CityBloomington TownshipBloomingtonDes Moines TownshipDes MoinesClintonAmerica TownshipAmericaBurlingtonKnoxville TownshipKnoxvilleBloomfield TownshipBloomfieldKane TownshipCenter TownshipCtrStorm LakeNewton 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%3,8852032.230346%32.230346%32.2%46,77346.8k31.793440%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%4,186,9564.19M29.922776%29.922776%29.9%53,00753.0k29.724187%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%1,3713919.050622%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%9274515.223570%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#35

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 Monroe Township, selected other county subdivisions in Iowa, and entities that contain the Monroe 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 CrkDubuqueIowaLinn CountyLinnMonroe TownshipMonroeJefferson TownshipJeffersonCedar Rapids Metro AreaCedar RapidsSioux CityLewis TownshipLewisMarion TownshipMarionOskaloosaDavenportWaterlooMason CityCenter TownshipCtrFort DodgeClintonBurlingtonDes Moines TownshipDes MoinesSpencerFour Mile TownshipFour MileKeokukBloomington TownshipBloomingtonTaylor TownshipTaylorBloomfield TownshipBloomfieldKnoxville TownshipKnoxvilleKane TownshipMadison TownshipMadisonLee TownshipNewton TownshipNewtonAmerica 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%55,09055.1k2.657093%2.657093%2.7%3,8562.579300%2.579300%2.6%235252.526696%2.526696%2.5%168262.360765%2.360765%2.4%4,1822.348003%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%116391.340799%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%70490.255428%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#36

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 Monroe Township, selected other county subdivisions in Iowa, and entities that contain the Monroe Township
Female
Male
2x1x0x1x2xFM#WaverlyIndianolaWalnutCrockerKnoxvilleGrinnellPenn TownshipMonroeKane TownshipFort DodgeMadisonSpencerTimber CrkCedar RapidsMason CityJeffersonCtrCedar RapidsTaylorIowaLinnWaterlooSioux CityBloomfieldDecorahClintonWest North CentralMidwestOskaloosaKeokukLee TownshipUnited StatesDavenportStorm LakeCarrollWalnutFour MileDes MoinesBooneDubuqueBurlingtonIowa CityLewisBloomingtonPleasant VlyNewtonCedar FallsWashingtonMarionDes MoinesClay TownshipWebsterAmericaLk 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-1.000000x1.316098x1.316098x1.32x4.992%4.99%6.570%6.57%-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-1.000000x1.219891x1.219891x1.22x4.851%4.85%5.917%5.92%-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-1.000000x1.031402x1.031402x1.03x8.487%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%41-1.176942x-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%46-1.811108x-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#37

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 Monroe Township, selected other county subdivisions in Iowa, and entities that contain the Monroe Township
Female
Male
0x5x10xFM#AmericaFort DodgeBurlingtonLewisClintonTimber CrkTaylorDes MoinesBloomingtonGrinnellStorm LakeIndianolaBooneWebsterFranklinSpencerSioux CityMadisonNewtonWalnutOskaloosaWalnutMason CityMarionPleasant VlyKeokukKane TownshipDecorahBloomfieldWaterlooIowaMidwestClay TownshipWest North CentralDes MoinesMonroeUnited StatesPenn TownshipCedar RapidsWaverlyIowa CityWashingtonLinnDubuqueCtrCedar RapidsCedar FallsDavenportLk PrairieFairfieldLee TownshipCarrollJeffersonCrockerKnoxvilleFour Mile-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-1.000000x2.782408x2.782408x2.78x0.536%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-1.000000x1.516116x1.516116x1.52x1.885%1.89%2.858%2.86%-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-1.000000x1.438687x1.438687x1.44x2.190%2.19%3.151%3.15%-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%47-1.268545x-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 Monroe Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe 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 TownshipWheelingPalatine TownshipPalatineIowaSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsCedar Rapids Metro AreaCedar RapidsYork TownshipLinn CountyLinnMilton TownshipMiltonMadisonMonroe TownshipMonroeDowners 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%9,343368.392669%8.392669%8.4%6,695378.255425%8.255425%8.3%169,966170k7.739434%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%5,099435.763043%5.763043%5.8%10,20910.2k5.461095%5.461095%5.5%4,715445.369313%5.369313%5.4%7,7925.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.730545%4.730545%4.7%4314.020265%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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMonroe TownshipMonroeCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleLinn CountyLinnCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralCedar Rapids Metro AreaCedar RapidsMidwestWichitaSterling HeightsSterling HtsIowaTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne 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%99,56199.6k2333.958951%33.958951%34.0%3,09433.783048%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%25,12725.1k2732.230346%32.230346%32.2%46,77346.8k31.793440%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%4,186,9564.19M29.922776%29.922776%29.9%53,00753.0k28.952816%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%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%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#40

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 Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe 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 FallsOlatheIowaLinn CountyLinnCenter TownshipCtrMonroe TownshipMonroeSchaumburg TownshipSchaumburgWichitaCedar Rapids Metro AreaCedar RapidsProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%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%55,09055.1k2.657093%2.657093%2.7%3,8562.602914%2.602914%2.6%2,576302.579300%2.579300%2.6%2352.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.360765%2.360765%2.4%4,1822.213918%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%1,339421.388310%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%97150
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#41

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 Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
Female
Male
1x0x1xFM#MonroeCedar RapidsCedar RapidsLincolnDetroitOmahaToledoIowaLinnThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.542957x1.542957x1.54x3.730%3.73%5.756%5.76%-1.000000x-1.000000x1.316098x1.316098x1.32x4.992%4.99%6.570%6.57%-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-1.000000x1.219891x1.219891x1.22x4.851%4.85%5.917%5.92%-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-1.000000x1.037373x1.037373x1.04x15.022%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#42

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 Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaIowaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraMonroeUnited StatesAnn ArborCedar RapidsTopekaSterling HtsPalatineLinnSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-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-1.000000x1.537000x1.537000x1.54x2.039%2.04%3.133%3.13%-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-1.000000x1.516116x1.516116x1.52x1.885%1.89%2.858%2.86%-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-1.000000x1.438687x1.438687x1.44x2.190%2.19%3.151%3.15%-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
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 Monroe Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe 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 CentralSeattleNortheast TarrantNE TarrantIowaCedar Rapids Metro AreaCedar RapidsPlanoLinn CountyLinnSeattle EastMonroe TownshipMonroe28.998944%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%66,22066.2k478.418271%8.418271%8.4%31,44331.4k488.255425%8.255425%8.3%169,966170k5.763043%5.763043%5.8%10,20910.2k5.714681%5.714681%5.7%20,64420.6k495.369313%5.369313%5.4%7,7924.913852%4.913852%4.9%20,32620.3k504.730545%4.730545%4.7%431
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#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynMonroe TownshipMonroeSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaLinn CountyLinnTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralCedar Rapids Metro AreaCedar RapidsBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyIowaOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%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%597,685598k2033.958951%33.958951%34.0%3,09433.231104%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%144,676145k2532.230346%32.230346%32.2%46,77346.8k32.087814%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%4,186,9564.19M29.922776%29.922776%29.9%53,00753.0k29.719611%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%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

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 Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe 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 HarrisIowaLinn CountyLinnNortheast TarrantNE TarrantMonroe TownshipMonroeEast San Gabriel ValleyE San Gabriel VlyCedar Rapids Metro AreaCedar RapidsOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%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%55,09055.1k2.657093%2.657093%2.7%3,8562.630994%2.630994%2.6%9,827392.579300%2.579300%2.6%2352.484535%2.484535%2.5%15,54715.5k402.360765%2.360765%2.4%4,1822.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

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 Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
Female
Male
1x0x1xFM#MonroeCedar Rapids1, CharlotteDetroitIowaLinnBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.542957x1.542957x1.54x3.730%3.73%5.756%5.76%-1.000000x-1.000000x1.316098x1.316098x1.32x4.992%4.99%6.570%6.57%-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-1.000000x1.219891x1.219891x1.22x4.851%4.85%5.917%5.92%-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-1.000000x1.030539x1.030539x1.03x28.448%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#47

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 Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixIowaTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlMonroeSan DiegoUnited StatesCedar RapidsSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyLinnHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-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-1.000000x1.537000x1.537000x1.54x2.039%2.04%3.133%3.13%-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-1.000000x1.516116x1.516116x1.52x1.885%1.89%2.858%2.86%-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-1.000000x1.438687x1.438687x1.44x2.190%2.19%3.151%3.15%-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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More Maps to Explore

State:
Iowa
County:
Linn
Metro Area:
Cedar Rapids Area
Cities:
Hiawatha, Robins
ZIP Codes:
52233, 52302, 52328, 52341, 52402, 52411
Unified School Districts:
Alburnett, Cedar Rapids, Linn-Mar
Congressional District:
IA-1
State Senate Districts:
IA-33, IA-34, IA-48
State House Districts:
IA-66, IA-67, IA-95
Neighboring Townships:
Clinton, Fayette, Marion, Otter Creek, Washington
Nearby Townships:
Benton, Bertram, Canton, College, Fairfax, Fremont, Grant, Maine, Spring Grove