Educational Attainment in the Town of Goodman, Marinette County, Wisconsin (Town)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Marinette County and the Town of Goodman
Town of Goodman
Marinette County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma217.293233%23.510659%17.293233%17.3%9274.248120%67.862124%74.248120%74.2%3958.458647%8.627217%8.458647%8.5%45
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 Marinette County at large.
Scope: population of Marinette County and the Town of Goodman
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-26.445138%-26.445138%-26.4%17.293%17.3%23.511%23.5%9.410251%9.410251%+9.4%74.248%74.2%67.862%67.9%-1.953932%-1.953932%-2.0%8.459%8.46%8.627%8.63%
% percentage with given level in the Town of Goodman
ref. percentage with given level in Marinette 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 Marinette County and the Town of Goodman
Town of Goodman
Marinette County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.375940%0.338713%0.375940%0.4%20.000000%0.000000%0.0%0.982932%01.127820%3.403732%1.127820%1.1%68.834586%9.782825%8.834586%8.8%476.954887%9.002457%6.954887%7.0%3725.939850%24.769210%25.939850%25.9%13848.308271%43.092914%48.308271%48.3%2575.451128%6.176529%5.451128%5.5%293.007519%1.969184%3.007519%3.0%160.000000%0.000000%0.0%0.481504%0
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 Marinette County at large.
Scope: population of Marinette County and the Town of Goodman
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None10.990712%10.990712%+11.0%0.376%0.38%0.339%0.34%-100.000000%-100.000000%-100.0%0.000%0%0.983%0.98%-66.865212%-66.865212%-66.9%1.128%1.13%3.404%3.40%-9.692893%-9.692893%-9.7%8.835%8.83%9.783%9.78%-22.744569%-22.744569%-22.7%6.955%6.95%9.002%9.00%4.726187%4.726187%+4.7%25.940%25.9%24.769%24.8%12.102586%12.102586%+12.1%48.308%48.3%43.093%43.1%-11.744482%-11.744482%-11.7%5.451%5.45%6.177%6.18%52.729209%52.729209%+52.7%3.008%3.01%1.969%1.97%-100.000000%-100.000000%-100.0%0.000%0%0.482%0.48%
% percentage with given level in the Town of Goodman
ref. percentage with given level in Marinette 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 Marinette County and the Town of Goodman
More Females More Males
Marinette County
Town of Goodman
0%50%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-6.657655%-23.111710%-6.657655%7%17.844%17.8%16.730%16.7%-5.488163%-5.488163%5%6.805576%76.208%76.2%72.243%72.2%85.384981%4.726196%85.384981%85%5.948%5.95%11.027%11.0%
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 Marinette County and the Town of Goodman
More Females More Males
Marinette County
Town of Goodman
0%500%1,000%FMDoctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.31,000.000000%197.754906%1,000.000000%> 1000%0.000%0%0.760%0.76%-95.539033%-19.161687%-95.539033%96%1.487%1.49%0.760%0.76%-31.988848%-17.819349%-31.988848%32%10.037%10.0%7.605%7.60%-46.443784%20.331022%20.331022%20%6.320%6.32%7.605%7.60%32.965779%5.732108%32.965779%33%22.305%22.3%29.658%29.7%-26.576606%-26.576606%27%7.427630%53.903%53.9%42.586%42.6%44.898606%2.302587%44.898606%45%4.461%4.46%6.464%6.46%206.844106%21.033408%206.844106%207%1.487%1.49%4.563%4.56%
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 Marinette County and the Town of Goodman
Town of Goodman
Marinette County
0%5%10%15%20%25%30%35%B.X.Total65+45-6435-4425-342.500000%6.321903%2.500000%2.5%520011.721612%10.586864%11.721612%11.7%322730.000000%0.000000%0.0%10.416177%03135.714286%14.222112%35.714286%35.7%1028
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 Marinette County at large.
Scope: population of Marinette County and the Town of Goodman
100%50%0%50%100%150%%ref.65+45-6435-4425-34-60.454947%-60.454947%60.5%2.500%2.50%6.322%6.32%10.718454%10.718454%10.7%11.722%11.7%10.587%10.6%-100.000000%-100.000000%100.0%0.000%0%10.416%10.4%151.118012%151.118012%151.1%35.714%35.7%14.222%14.2%
% percentage in the Town of Goodman with a Bachelor's degree
ref percentage in Marinette 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 Marinette County and the Town of Goodman
More Females More Males
Marinette County
Town of Goodman
200%100%0%100%200%FM65+45-6425-34-8.390188%292.079208%292.079208%292.1%1.010%1.01%3.960%3.96%-27.632951%-21.688939%-27.632951%27.6%13.139%13.1%10.294%10.3%-246.666667%-66.128915%-246.666667%246.7%53.333%53.3%15.385%15.4%
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 Marinette County and the Town of Goodman
Town of Goodman
Marinette County
$0k$20k$40k$60kCount%Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$66,042.000000$45,042.000000$66,042.000000$66.0k478.835%8.83%$35,625.000000$32,222.000000$35,625.000000$35.6k17532.895%32.9%$25,750.000000$31,465.000000$25,750.000000$25.8k25748.308%48.3%$38,750.000000$17,028.000000$38,750.000000$38.8k458.459%8.46%$35,795.000000$33,880.000000$35,795.000000$35.8k532100.000%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 Marinette County and the Town of Goodman
Female Male
Marinette County
Town of Goodman
Shaded bar tips show excess over facing bar.
$0k$50k$100kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-48,750.000000$-38,614.000000$-48,750.000000$48.8k$48,750.000000$52,917.000000$38,614.000000$12,844.000000$101,667.000000$101.7k2720$-26,406.000000$-25,595.000000$-26,406.000000$26.4k$26,406.000000$14,219.000000$25,595.000000$16,026.000000$40,625.000000$40.6k7798$-22,292.000000$-21,123.000000$-22,292.000000$22.3k$22,292.000000$5,208.000000$21,123.000000$20,100.000000$27,500.000000$27.5k145112$-27,344.000000$-26,017.000000$-27,344.000000$27.3k$27,344.000000$13,767.000000$26,017.000000$15,908.000000$41,111.000000$41.1k269263
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 Marinette County and the Town of Goodman
Town of Goodman
Marinette County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma378.260870%80.017580%78.260870%78.3%3665.873016%76.491011%65.873016%65.9%8351.408451%69.386532%51.408451%51.4%7333.333333%45.998504%33.333333%33.3%6
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 Marinette County and the Town of Goodman
Female Male
Marinette County
Town of Goodman
Shaded bar tips show excess over facing bar.
5%0%5%10%MFWhite1-5.992509%-8.276659%-5.992509%6.0%5.992509%4.432201%8.276659%0.148603%10.424710%10.4%2716
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 Marinette County and the Town of Goodman
Female Male
Marinette County
Town of Goodman
Shaded bar tips show excess over facing bar.
10%5%0%5%10%MFWhite1-9.266409%-2.344078%-13.692774%-1.282742%-11.610487%11.6%9.266409%13.692774%9.266409%9.3%2431
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Marinette Area

There are 42 county subdivisions in the Marinette Area. This section compares the Town of Goodman to all of the county subdivisions in the Marinette Area and to those entities that contain or substantially overlap with the Town of Goodman.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Goodman, selected other county subdivisions in the Marinette Area, and entities that contain the Town of Goodman
0%5%10%15%Count#PoundTown of AthelstaneAthelstaneTown of AmbergAmbergStephensonTown of PoundFaithorn TownshipFaithornWausaukeeUnited States of AmericaUnited StatesTown of Middle InletMiddle InletHarris TownshipHarrisTown of StephensonStephensonSpalding TownshipSpaldingTown of WausaukeeWausaukeeColemanEast North CentralTown of BeaverBeaverNadeau TownshipNadeauLake TownshipCrivitzGourley TownshipGourleyMidwestHolmes TownshipHolmesTown of BeecherBeecher960200Tract 960200Town of Silver CliffSilver CliffTown of WagnerWagnerCedarville TownshipCedarvillePeshtigoMenomineeTown of PembinePembineWisconsinMarinette CountyMarinetteMellen TownshipMellenMarinette Metro AreaMarinetteTown of GoodmanGoodmanDaggett TownshipDaggettGoodman-Armstrong School DistrictGoodman-ArmstrongStephenson TownshipStephensonMarinetteTown of DunbarDunbarTown of LakeMeyer TownshipMeyerNiagaraTown of NiagaraNiagaraTown of GroverGroverTown of PorterfieldPorterfieldTown of PeshtigoPeshtigoMenominee TownshipMenomineeIngallston TownshipIngallston15.862069%15.862069%15.9%46115.212528%15.212528%15.2%68213.780919%13.780919%13.8%78313.671275%13.671275%13.7%89413.566290%13.566290%13.6%132513.397129%13.397129%13.4%28613.299233%13.299233%13.3%52713.020590%13.020590%13.0%27,818,38027.8M12.621359%12.621359%12.6%91811.882047%11.882047%11.9%137911.622074%11.622074%11.6%2781011.443932%11.443932%11.4%1491111.336516%11.336516%11.3%951210.834813%10.834813%10.8%611310.719464%10.719464%10.7%3,363,7843.36M10.686164%10.686164%10.7%951410.626398%10.626398%10.6%951510.416667%10.416667%10.4%451610.367454%10.367454%10.4%791710.273973%10.273973%10.3%301810.244520%10.244520%10.2%4,641,8354.64M10.204082%10.204082%10.2%30199.420290%9.420290%9.4%52209.253526%9.253526%9.3%2698.977556%8.977556%9.0%36218.921933%8.921933%8.9%48228.900524%8.900524%8.9%17238.852719%8.852719%8.9%223248.833077%8.833077%8.8%517258.780488%8.780488%8.8%54268.637220%8.637220%8.6%336,096336k8.627217%8.627217%8.6%2,5988.591065%8.591065%8.6%75278.567031%8.567031%8.6%4,0638.458647%8.458647%8.5%45288.050847%8.050847%8.1%38297.957245%7.957245%8.0%677.656613%7.656613%7.7%33307.310671%7.310671%7.3%557317.191011%7.191011%7.2%32327.101281%7.101281%7.1%61336.666667%6.666667%6.7%46346.660232%6.660232%6.7%69356.578947%6.578947%6.6%45365.903724%5.903724%5.9%65375.588235%5.588235%5.6%76385.296260%5.296260%5.3%160394.295775%4.295775%4.3%122401.904762%1.904762%1.9%1441
Count number of people in category
# rank of county subdivision out of 41 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Goodman, selected other county subdivisions in the Marinette Area, and entities that contain the Town of Goodman
0%10%20%30%Count#United States of AmericaUnited StatesMidwestEast North CentralWisconsinTown of DunbarDunbarCedarville TownshipCedarvilleIngallston TownshipIngallstonFaithorn TownshipFaithornTown of WausaukeeWausaukeeMenomineeMenominee TownshipMenomineeTown of LakeDaggett TownshipDaggettLake TownshipGourley TownshipGourleyPeshtigoTown of BeaverBeaverTown of StephensonStephensonTown of PorterfieldPorterfieldTown of NiagaraNiagaraTown of PembinePembineNadeau TownshipNadeauMarinette Metro AreaMarinetteColemanTown of PeshtigoPeshtigoMarinetteMarinette CountyMarinetteNiagaraSpalding TownshipSpalding960200Tract 960200PoundGoodman-Armstrong School DistrictGoodman-ArmstrongHarris TownshipHarrisStephenson TownshipStephensonCrivitzTown of WagnerWagnerTown of GroverGroverTown of Middle InletMiddle InletTown of GoodmanGoodmanTown of PoundTown of BeecherBeecherTown of AmbergAmbergTown of Silver CliffSilver CliffWausaukeeTown of AthelstaneAthelstaneMeyer TownshipMeyerStephensonMellen TownshipMellenHolmes TownshipHolmes30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M24.943820%24.943820%24.9%111124.083770%24.083770%24.1%46222.585034%22.585034%22.6%166320.095694%20.095694%20.1%42419.093079%19.093079%19.1%160518.247053%18.247053%18.2%1,068618.239437%18.239437%18.2%518718.160652%18.160652%18.2%156817.584746%17.584746%17.6%83917.129630%17.129630%17.1%741017.123288%17.123288%17.1%501116.792378%16.792378%16.8%4231216.647919%16.647919%16.6%1481316.638796%16.638796%16.6%3981416.544118%16.544118%16.5%2251515.935673%15.935673%15.9%1091615.609756%15.609756%15.6%961715.436242%15.436242%15.4%1381815.000211%15.000211%15.0%7,11414.920071%14.920071%14.9%841914.895730%14.895730%14.9%4502014.555716%14.555716%14.6%1,1092114.508202%14.508202%14.5%4,36913.996139%13.996139%14.0%1452213.287250%13.287250%13.3%1732313.071895%13.071895%13.1%38012.068966%12.068966%12.1%352411.876485%11.876485%11.9%10011.535126%11.535126%11.5%1332511.368910%11.368910%11.4%492611.286089%11.286089%11.3%862711.152416%11.152416%11.2%602811.080836%11.080836%11.1%1222910.818308%10.818308%10.8%783010.338346%10.338346%10.3%55319.969168%9.969168%10.0%97329.601449%9.601449%9.6%53339.540636%9.540636%9.5%54349.476309%9.476309%9.5%38359.462916%9.462916%9.5%37368.948546%8.948546%8.9%40378.550725%8.550725%8.6%59388.448541%8.448541%8.4%55398.247423%8.247423%8.2%72406.462585%6.462585%6.5%1941
Count number of people in category
# rank of county subdivision out of 41 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Goodman, selected other county subdivisions in the Marinette Area, and entities that contain the Town of Goodman
0%2%4%6%Count#Cedarville TownshipCedarvillePeshtigoUnited States of AmericaUnited StatesMidwestEast North CentralTown of AmbergAmbergWisconsinTown of PorterfieldPorterfieldTown of BeaverBeaverTown of DunbarDunbarMenominee TownshipMenomineeTown of PembinePembineTown of PeshtigoPeshtigoMarinetteNadeau TownshipNadeauMeyer TownshipMeyerMarinette CountyMarinetteMarinette Metro AreaMarinette960200Tract 960200Town of NiagaraNiagaraLake TownshipTown of WagnerWagnerHarris TownshipHarrisMenomineeSpalding TownshipSpaldingGourley TownshipGourleyGoodman-Armstrong School DistrictGoodman-ArmstrongTown of LakeMellen TownshipMellenTown of Silver CliffSilver CliffTown of AthelstaneAthelstaneDaggett TownshipDaggettTown of GoodmanGoodmanTown of BeecherBeecherTown of WausaukeeWausaukeePoundTown of PoundIngallston TownshipIngallstonColemanTown of Middle InletMiddle InletTown of StephensonStephensonNiagaraTown of GroverGroverCrivitzStephensonStephenson TownshipStephensonWausaukeeHolmes TownshipHolmesFaithorn TownshipFaithorn6.806283%6.806283%6.8%1313.731640%3.731640%3.7%9423.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.826855%2.826855%2.8%1632.703886%2.703886%2.7%105,215105k2.573529%2.573529%2.6%3542.249719%2.249719%2.2%2052.247191%2.247191%2.2%1062.042254%2.042254%2.0%5871.788618%1.788618%1.8%1181.721284%1.721284%1.7%5291.627510%1.627510%1.6%124101.565996%1.565996%1.6%14111.449275%1.449275%1.4%10121.321644%1.321644%1.3%3981.246152%1.246152%1.2%5911.169591%1.169591%1.2%341.169591%1.169591%1.2%8131.157407%1.157407%1.2%5141.115242%1.115242%1.1%6151.040763%1.040763%1.0%12161.025115%1.025115%1.0%60170.768049%0.768049%0.8%10180.684932%0.684932%0.7%2190.593824%0.593824%0.6%50.582072%0.582072%0.6%5200.572738%0.572738%0.6%5210.498753%0.498753%0.5%2220.447427%0.447427%0.4%2230.423729%0.423729%0.4%2240.375940%0.375940%0.4%2250.362319%0.362319%0.4%2260.357995%0.357995%0.4%3270.344828%0.344828%0.3%1280.308325%0.308325%0.3%3290.272109%0.272109%0.3%2300.177620%0.177620%0.2%1310.138696%0.138696%0.1%1320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%041
Count number of people in category
# rank of county subdivision out of 41 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Goodman, selected other county subdivisions in the Marinette Area, and entities that contain the Town of Goodman
Female
Male
2x0x2x4x6xFM#CedarvilleDaggettMiddle InletGroverAthelstaneSpaldingBeaverSilver CliffGoodmanHolmesMenomineePoundBeecherStephensonWausaukeeMarinetteMenomineeGourleyGoodman-ArmstrongTown of LakeWisconsinStephensonIngallstonWagnerMarinetteAmbergMidwestEast North CentralUnited StatesWausaukeeMarinetteNadeauTract 960200HarrisNiagaraCrivitzMellenStephensonLake TownshipFaithornTown of PoundDunbarColemanMeyerPembinePeshtigoNiagaraPorterfieldPeshtigo-1.000000x-1.000000x6.274038x6.274038x6.27x2.299%2.30%14.423%14.4%1-1.000000x-1.000000x3.504098x3.504098x3.50x3.509%3.51%12.295%12.3%2-1.000000x-1.000000x2.561503x2.561503x2.56x6.957%6.96%17.819%17.8%3-1.000000x-1.000000x2.392420x2.392420x2.39x3.366%3.37%8.054%8.05%4-1.000000x-1.000000x2.294847x2.294847x2.29x8.649%8.65%19.847%19.8%5-1.000000x-1.000000x2.157978x2.157978x2.16x7.364%7.36%15.891%15.9%6-1.000000x-1.000000x1.973184x1.973184x1.97x7.191%7.19%14.189%14.2%7-1.000000x-1.000000x1.888751x1.888751x1.89x6.044%6.04%11.416%11.4%8-1.000000x-1.000000x1.853850x1.853850x1.85x5.948%5.95%11.027%11.0%9-1.000000x-1.000000x1.843137x1.843137x1.84x7.092%7.09%13.072%13.1%10-1.000000x-1.000000x1.779949x1.779949x1.78x3.108%3.11%5.532%5.53%11-1.000000x-1.000000x1.726582x1.726582x1.73x11.364%11.4%19.620%19.6%12-1.000000x-1.000000x1.638992x1.638992x1.64x7.090%7.09%11.620%11.6%13-1.000000x-1.000000x1.632625x1.632625x1.63x10.398%10.4%16.975%17.0%14-1.000000x-1.000000x1.598485x1.598485x1.60x10.427%10.4%16.667%16.7%15-1.000000x-1.000000x1.538351x1.538351x1.54x5.864%5.86%9.021%9.02%16-1.000000x-1.000000x1.481797x1.481797x1.48x7.133%7.13%10.570%10.6%17-1.000000x-1.000000x1.459459x1.459459x1.46x8.333%8.33%12.162%12.2%18-1.000000x-1.000000x1.446705x1.446705x1.45x6.490%6.49%9.390%9.39%-1.000000x-1.000000x1.410138x1.410138x1.41x5.882%5.88%8.295%8.29%19-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.205581x1.205581x1.21x6.944%6.94%8.372%8.37%20-1.000000x-1.000000x1.192440x1.192440x1.19x1.729%1.73%2.062%2.06%21-1.000000x-1.000000x1.174861x1.174861x1.17x8.120%8.12%9.539%9.54%22-1.000000x-1.000000x1.158265x1.158265x1.16x7.943%7.94%9.200%9.20%-1.000000x-1.000000x1.152838x1.152838x1.15x12.774%12.8%14.726%14.7%23-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104386x1.104386x1.10x10.750%10.8%11.872%11.9%24-1.000000x-1.000000x1.047262x1.047262x1.05x8.430%8.43%8.828%8.83%-1.000000x-1.000000x1.037000x1.037000x1.04x10.431%10.4%10.817%10.8%25-1.000000x-1.000000x1.030423x1.030423x1.03x9.110%9.11%9.387%9.39%-1.000000x-1.000000x1.002459x1.002459x1.00x11.867%11.9%11.897%11.9%26-1.101966x-1.101966x1.10x1.000000x1.000000x6.907%6.91%6.268%6.27%27-1.117129x-1.117129x1.12x1.000000x1.000000x10.875%10.9%9.735%9.73%28-1.136737x-1.136737x1.14x1.000000x1.000000x9.155%9.15%8.054%8.05%29-1.313164x-1.313164x1.31x1.000000x1.000000x13.390%13.4%10.196%10.2%30-1.333732x-1.333732x1.33x1.000000x1.000000x11.962%12.0%8.969%8.97%31-1.358173x-1.358173x1.36x1.000000x1.000000x15.625%15.6%11.504%11.5%32-1.434648x-1.434648x1.43x1.000000x1.000000x16.157%16.2%11.262%11.3%33-1.508254x-1.508254x1.51x1.000000x1.000000x8.676%8.68%5.752%5.75%34-1.591757x-1.591757x1.59x1.000000x1.000000x13.357%13.4%8.392%8.39%35-1.609776x-1.609776x1.61x1.000000x1.000000x8.169%8.17%5.075%5.07%36-1.796656x-1.796656x1.80x1.000000x1.000000x11.371%11.4%6.329%6.33%37-1.966826x-1.966826x1.97x1.000000x1.000000x7.056%7.06%3.588%3.59%38-2.023923x-2.023923x2.02x1.000000x1.000000x8.835%8.83%4.365%4.37%39-2.058080x-2.058080x2.06x1.000000x1.000000x7.533%7.53%3.660%3.66%40-2.253941x-2.253941x2.25x1.000000x1.000000x11.690%11.7%5.187%5.19%41
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 41 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Goodman, selected other county subdivisions in the Marinette Area, and entities that contain the Town of Goodman
Female
Male
10x5x0x5x10xFM#WausaukeePembineBeecherAmbergWagnerGoodmanDaggettAthelstaneSilver CliffPoundGourleyTract 960200MenomineeCedarvilleGoodman-ArmstrongDunbarNadeauBeaverPeshtigoMenomineeMarinetteMarinettePeshtigoEast North CentralMidwestWisconsinMarinetteUnited StatesPorterfieldLake TownshipHarrisNiagaraSpaldingTown of PoundMellenTown of LakeMeyerIngallstonMiddle InletColeman-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.685%0.68%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.481%3.48%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.704%0.70%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.479%5.48%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.974%1.97%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.760%0.76%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.820%0.82%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.763%0.76%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.913%0.91%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.633%0.63%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.351%1.35%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.142%0.14%2.130%2.13%-1.000000x-1.000000x6.641451x6.641451x6.64x0.270%0.27%1.796%1.80%12-1.000000x-1.000000x4.600962x4.600962x4.60x2.299%2.30%10.577%10.6%13-1.000000x-1.000000x3.906103x3.906103x3.91x0.240%0.24%0.939%0.94%-1.000000x-1.000000x3.876106x3.876106x3.88x0.913%0.91%3.540%3.54%14-1.000000x-1.000000x3.569536x3.569536x3.57x0.680%0.68%2.428%2.43%15-1.000000x-1.000000x2.338589x2.338589x2.34x1.348%1.35%3.153%3.15%16-1.000000x-1.000000x2.183953x2.183953x2.18x1.075%1.08%2.348%2.35%17-1.000000x-1.000000x1.976437x1.976437x1.98x1.381%1.38%2.730%2.73%18-1.000000x-1.000000x1.838625x1.838625x1.84x0.880%0.88%1.617%1.62%-1.000000x-1.000000x1.739302x1.739302x1.74x0.967%0.97%1.683%1.68%-1.000000x-1.000000x1.670255x1.670255x1.67x2.887%2.89%4.823%4.82%19-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.532020x1.532020x1.53x1.308%1.31%2.005%2.00%20-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.486823x1.486823x1.49x2.068%2.07%3.075%3.07%21-1.000000x-1.000000x1.405830x1.405830x1.41x0.957%0.96%1.345%1.35%22-1.000000x-1.000000x1.383103x1.383103x1.38x0.873%0.87%1.207%1.21%23-1.054054x-1.054054x1.05x1.000000x1.000000x1.201%1.20%1.140%1.14%24-1.376289x-1.376289x1.38x1.000000x1.000000x0.884%0.88%0.642%0.64%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.655%0.66%0.000%0%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.174%1.17%0.000%0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.176%1.18%0.000%0%28-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.817%2.82%0.000%0%29-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.576%0.58%0.000%0%30-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.290%0.29%0.000%0%31-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.361%0.36%0.000%0%32
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 32 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares the Town of Goodman to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with the Town of Goodman. The least populous of the compared county subdivisions has a population of 16,289.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Goodman, selected other county subdivisions in Wisconsin, and entities that contain the Town of Goodman
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver Dam960200Tract 960200South MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinMarinette CountyMarinetteMarinette Metro AreaMarinetteJanesvilleTown of GoodmanGoodmanMenomonieGreenfieldGoodman-Armstrong School DistrictGoodman-ArmstrongPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.253526%9.253526%9.3%2699.190270%9.190270%9.2%1,379138.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.627217%8.627217%8.6%2,5988.567031%8.567031%8.6%4,0638.522583%8.522583%8.5%3,704178.458647%8.458647%8.5%458.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.957245%7.957245%8.0%677.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Goodman, selected other county subdivisions in Wisconsin, and entities that contain the Town of Goodman
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin RapidsMarinette Metro AreaMarinetteMarinette CountyMarinette960200Tract 960200Goodman-Armstrong School DistrictGoodman-ArmstrongTown of GoodmanGoodman63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982630.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033127.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783325.519199%25.519199%25.5%6,8323424.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k4022.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,0035015.000211%15.000211%15.0%7,11414.508202%14.508202%14.5%4,36913.071895%13.071895%13.1%38011.876485%11.876485%11.9%10010.338346%10.338346%10.3%55
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Goodman, selected other county subdivisions in Wisconsin, and entities that contain the Town of Goodman
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardMarinette CountyMarinetteCudahyWest BendWest AllisMarinette Metro AreaMarinette960200Tract 960200RacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenonGoodman-Armstrong School DistrictGoodman-ArmstrongTown of GoodmanGoodman11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.688734%1.688734%1.7%213371.555418%1.555418%1.6%676381.549604%1.549604%1.5%644391.525582%1.525582%1.5%277401.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.321644%1.321644%1.3%3981.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.246152%1.246152%1.2%5911.169591%1.169591%1.2%341.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%94500.593824%0.593824%0.6%50.375940%0.375940%0.4%2
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Goodman, selected other county subdivisions in Wisconsin, and entities that contain the Town of Goodman
Female
Male
1x0x1x2xFM#De PereMenashaGoodmanOshkoshFranklinCaledoniaGoodman-ArmstrongManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoMarinetteKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekMarinetteGreenfieldTract 960200MiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.853850x1.853850x1.85x5.948%5.95%11.027%11.0%-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.446705x1.446705x1.45x6.490%6.49%9.390%9.39%-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.158265x1.158265x1.16x7.943%7.94%9.200%9.20%-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.047262x1.047262x1.05x8.430%8.43%8.828%8.83%-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.030423x1.030423x1.03x9.110%9.11%9.387%9.39%-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.015610x1.015610x1.02x8.765%8.76%8.902%8.90%37-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%38-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Goodman, selected other county subdivisions in Wisconsin, and entities that contain the Town of Goodman
Female
Male
0x5x10xFM#GoodmanTract 960200Goodman-ArmstrongNeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauMarinetteFitchburgSun PrairieEau ClaireOshkoshMarinetteAppletonFond du LacNew BerlinWest AllisWauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.760%0.76%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.142%0.14%2.130%2.13%-1.000000x-1.000000x3.906103x3.906103x3.91x0.240%0.24%0.939%0.94%-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.838625x1.838625x1.84x0.880%0.88%1.617%1.62%-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%20-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%21-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%22-1.000000x-1.000000x1.739302x1.739302x1.74x0.967%0.97%1.683%1.68%-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%25-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%26-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%27-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%31-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%32-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%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 Town of Goodman to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Town of Goodman. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Goodman, selected other county subdivisions in the Midwest, and entities that contain the Town of Goodman
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 TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux Falls960200Tract 960200WisconsinMarinette CountyMarinetteCapital TownshipCapitalMarinette Metro AreaMarinetteTown of GoodmanGoodmanWheeling TownshipWheelingPalatine TownshipPalatineGoodman-Armstrong School DistrictGoodman-ArmstrongSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%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%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%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%9,123349.253526%9.253526%9.3%2698.637220%8.637220%8.6%336,096336k8.627217%8.627217%8.6%2,5988.623103%8.623103%8.6%6,837358.567031%8.567031%8.6%4,0638.458647%8.458647%8.5%458.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.957245%7.957245%8.0%677.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Goodman, selected other county subdivisions in the Midwest, and entities that contain the Town of Goodman
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipMarinette Metro AreaMarinetteMarinette CountyMarinetteDetroit960200Tract 960200Goodman-Armstrong School DistrictGoodman-ArmstrongTown of GoodmanGoodman72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%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%16,95117.0k4915.000211%15.000211%15.0%7,11414.508202%14.508202%14.5%4,36913.833543%13.833543%13.8%59,72359.7k5013.071895%13.071895%13.1%38011.876485%11.876485%11.9%10010.338346%10.338346%10.3%55
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Goodman, selected other county subdivisions in the Midwest, and entities that contain the Town of Goodman
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 TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityMarinette CountyMarinetteDetroitDaytonMarinette Metro AreaMarinetteWayne TownshipWayne960200Tract 960200WarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonGoodman-Armstrong School DistrictGoodman-ArmstrongTown of GoodmanGoodman17.877867%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%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.703886%2.703886%2.7%105,215105k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.321644%1.321644%1.3%3981.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.246152%1.246152%1.2%5911.183365%1.183365%1.2%1,040461.169591%1.169591%1.2%341.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.593824%0.593824%0.6%50.375940%0.375940%0.4%2
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Goodman, selected other county subdivisions in the Midwest, and entities that contain the Town of Goodman
Female
Male
1x0x1xFM#GoodmanGoodman-ArmstrongCedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipMarinetteWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusMarinetteClevelandPalatineCapitalWarrenTract 960200SpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.853850x1.853850x1.85x5.948%5.95%11.027%11.0%-1.000000x-1.000000x1.446705x1.446705x1.45x6.490%6.49%9.390%9.39%-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-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-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-1.000000x1.158265x1.158265x1.16x7.943%7.94%9.200%9.20%-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-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-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-1.000000x1.047262x1.047262x1.05x8.430%8.43%8.828%8.83%-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-1.000000x1.030423x1.030423x1.03x9.110%9.11%9.387%9.39%-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Goodman, selected other county subdivisions in the Midwest, and entities that contain the Town of Goodman
Female
Male
0x5x10xFM#GoodmanTract 960200Goodman-ArmstrongRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronMarinetteLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldMarinetteOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.760%0.76%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.142%0.14%2.130%2.13%-1.000000x-1.000000x3.906103x3.906103x3.91x0.240%0.24%0.939%0.94%-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-1.000000x1.838625x1.838625x1.84x0.880%0.88%1.617%1.62%-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-1.000000x1.739302x1.739302x1.74x0.967%0.97%1.683%1.68%-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-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-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-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
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 Town of Goodman to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Town of Goodman. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Goodman, selected other county subdivisions in the United States, and entities that contain the Town of Goodman
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, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlanta960200Tract 960200SeattleWisconsinMarinette CountyMarinetteMarinette Metro AreaMarinetteTown of GoodmanGoodmanNortheast TarrantNE TarrantGoodman-Armstrong School DistrictGoodman-ArmstrongPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%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%37,37337.4k469.253526%9.253526%9.3%2698.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.627217%8.627217%8.6%2,5988.567031%8.567031%8.6%4,0638.458647%8.458647%8.5%458.418271%8.418271%8.4%31,44331.4k487.957245%7.957245%8.0%675.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Goodman, selected other county subdivisions in the United States, and entities that contain the Town of Goodman
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoMarinette Metro AreaMarinetteSan Antonio CentralSan Antonio CntrlMarinette CountyMarinetteDetroit960200Tract 960200Goodman-Armstrong School DistrictGoodman-ArmstrongTown of GoodmanGoodman60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%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%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.373439%28.373439%28.4%1,104,0821.10M28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.000211%15.000211%15.0%7,11414.929012%14.929012%14.9%65,34165.3k4914.508202%14.508202%14.5%4,36913.833543%13.833543%13.8%59,72359.7k5013.071895%13.071895%13.1%38011.876485%11.876485%11.9%10010.338346%10.338346%10.3%55
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Goodman, selected other county subdivisions in the United States, and entities that contain the Town of Goodman
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-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxMarinette CountyMarinetteDetroitMarinette Metro AreaMarinette960200Tract 960200Goodman-Armstrong School DistrictGoodman-ArmstrongTown of GoodmanGoodman12.461852%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%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.703886%2.703886%2.7%105,215105k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.321644%1.321644%1.3%3981.318660%1.318660%1.3%5,693501.246152%1.246152%1.2%5911.169591%1.169591%1.2%340.593824%0.593824%0.6%50.375940%0.375940%0.4%2
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Goodman, selected other county subdivisions in the United States, and entities that contain the Town of Goodman
Female
Male
1x0x1xFM#GoodmanGoodman-Armstrong1, CharlotteDetroitWisconsinBaltimoreTulsaSW DallasMarinetteMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverMarinetteNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxTract 960200PlanoBrooklynSan 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-1.000000x1.853850x1.853850x1.85x5.948%5.95%11.027%11.0%-1.000000x-1.000000x1.446705x1.446705x1.45x6.490%6.49%9.390%9.39%-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-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-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-1.000000x1.158265x1.158265x1.16x7.943%7.94%9.200%9.20%-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-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-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-1.000000x1.047262x1.047262x1.05x8.430%8.43%8.828%8.83%-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-1.000000x1.030423x1.030423x1.03x9.110%9.11%9.387%9.39%-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Goodman, selected other county subdivisions in the United States, and entities that contain the Town of Goodman
Female
Male
0x5x10xFM#GoodmanTract 960200Goodman-ArmstrongEl PasoSalt Lk CityMarinettePlanoMarinetteTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.760%0.76%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.142%0.14%2.130%2.13%-1.000000x-1.000000x3.906103x3.906103x3.91x0.240%0.24%0.939%0.94%-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-1.000000x1.838625x1.838625x1.84x0.880%0.88%1.617%1.62%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.739302x1.739302x1.74x0.967%0.97%1.683%1.68%-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-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-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
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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Demographics

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State:
Wisconsin
County:
Marinette
Metro Area:
Marinette Area
Unincorporated Place:
Goodman
ZIP Codes:
54103, 54104, 54119, 54120, 54125, 54156
Unified School District:
Goodman-Armstrong
Congressional District:
WI-8
State Senate District:
WI-12
Assembly District:
WI-36
Neighboring Towns:
Armstrong Creek, Athelstane, Blackwell, Dunbar, Fence, Homestead, Silver Cliff
Nearby Towns:
Aurora, Caswell, Commonwealth, Fern, Laona, Pembine, Wabeno