Educational Attainment in the Town of Rockland, Brown County, Wisconsin (Town)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Brown County and the Town of Rockland
Town of Rockland
Brown County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma248.554422%40.567299%48.554422%48.6%57146.938776%50.830747%46.938776%46.9%5524.506803%8.601954%4.506803%4.5%53
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 Brown County at large.
Scope: population of Brown County and the Town of Rockland
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma219.688574%19.688574%+19.7%48.554%48.6%40.567%40.6%-7.656726%-7.656726%-7.7%46.939%46.9%50.831%50.8%-47.607223%-47.607223%-47.6%4.507%4.51%8.602%8.60%
% percentage with given level in the Town of Rockland
ref. percentage with given level in Brown 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 Brown County and the Town of Rockland
Town of Rockland
Brown County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.275510%0.615477%1.275510%1.3%152.125850%1.456531%2.125850%2.1%256.037415%5.844970%6.037415%6.0%7122.278912%20.326645%22.278912%22.3%26216.836735%12.323676%16.836735%16.8%19820.918367%19.558623%20.918367%20.9%24626.020408%31.272123%26.020408%26.0%3063.911565%5.251874%3.911565%3.9%460.595238%2.308775%0.595238%0.6%70.000000%0.000000%0.0%1.041305%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 Brown County at large.
Scope: population of Brown County and the Town of Rockland
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None107.239283%107.239283%+107.2%1.276%1.28%0.615%0.62%45.952993%45.952993%+46.0%2.126%2.13%1.457%1.46%3.292480%3.292480%+3.3%6.037%6.04%5.845%5.84%9.604473%9.604473%+9.6%22.279%22.3%20.327%20.3%36.621042%36.621042%+36.6%16.837%16.8%12.324%12.3%6.952145%6.952145%+7.0%20.918%20.9%19.559%19.6%-16.793600%-16.793600%-16.8%26.020%26.0%31.272%31.3%-25.520599%-25.520599%-25.5%3.912%3.91%5.252%5.25%-74.218446%-74.218446%-74.2%0.595%0.60%2.309%2.31%-100.000000%-100.000000%-100.0%0.000%0%1.041%1.04%
% percentage with given level in the Town of Rockland
ref. percentage with given level in Brown 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 Brown County and the Town of Rockland
More Females More Males
Brown County
Town of Rockland
0%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-35.668683%-2.688512%-35.668683%36%56.076%56.1%41.333%41.3%-1.483048%24.800000%24.800000%25%41.667%41.7%52.000%52.0%195.384615%23.668046%195.384615%195%2.257%2.26%6.667%6.67%
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 Brown County and the Town of Rockland
More Females More Males
Brown County
Town of Rockland
100%0%100%200%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3284.000000%66.089404%284.000000%284%0.521%0.52%2.000%2.00%-12.847222%-12.847222%13%76.502209%2.257%2.26%2.000%2.00%-25.492063%31.200000%31.200000%31%5.208%5.21%6.833%6.83%-124.648594%-8.454394%-124.648594%125%31.076%31.1%13.833%13.8%-2.083333%-2.083333%2%6.471560%17.014%17.0%16.667%16.7%-4.166667%-4.717945%-4.166667%4%21.354%21.4%20.500%20.5%55.076923%0.490161%55.076923%55%20.313%20.3%31.500%31.5%205.454545%25.407916%205.454545%205%1.910%1.91%5.833%5.83%140.000000%6.412666%140.000000%140%0.347%0.35%0.833%0.83%
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 Brown County and the Town of Rockland
Town of Rockland
Brown County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3414.743590%12.290853%14.743590%14.7%2315622.475570%19.386034%22.475570%22.5%13861429.343629%24.855921%29.343629%29.3%7625917.006803%25.663013%17.006803%17.0%25147
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 Brown County at large.
Scope: population of Brown County and the Town of Rockland
30%20%10%0%10%%ref.65+45-6435-4425-3419.955792%19.955792%20.0%14.744%14.7%12.291%12.3%15.936918%15.936918%15.9%22.476%22.5%19.386%19.4%18.054886%18.054886%18.1%29.344%29.3%24.856%24.9%-33.730297%-33.730297%33.7%17.007%17.0%25.663%25.7%
% percentage in the Town of Rockland with a Bachelor's degree
ref percentage in Brown 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 Brown County and the Town of Rockland
More Females More Males
Brown County
Town of Rockland
150%100%50%0%50%FM65+45-6435-4425-3456.617647%17.211180%56.617647%56.6%11.268%11.3%17.647%17.6%-174.757110%-11.318408%-174.757110%174.8%33.007%33.0%12.013%12.0%-132.661157%-1.389225%-132.661157%132.7%42.149%42.1%18.116%18.1%-180.128205%-35.058172%-180.128205%180.1%24.359%24.4%8.696%8.70%
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 Brown County and the Town of Rockland
Town of Rockland
Brown County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$64,875.000000$61,103.000000$64,875.000000$64.9k1119.439%9.44%$60,833.000000$48,411.000000$60,833.000000$60.8k26222.279%22.3%$43,482.000000$35,251.000000$43,482.000000$43.5k44437.755%37.8%$40,278.000000$30,328.000000$40,278.000000$40.3k30626.020%26.0%$21,339.000000$24,793.000000$21,339.000000$21.3k534.507%4.51%$50,318.000000$36,932.000000$50,318.000000$50.3k1,176100.000%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 Brown County and the Town of Rockland
Female Male
Brown County
Town of Rockland
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-49,063.000000$-53,960.000000$-49,063.000000$49.1k$49,063.000000$34,479.000000$53,960.000000$20,305.000000$83,542.000000$83.5k4665$-57,981.000000$-40,560.000000$-57,981.000000$58.0k$57,981.000000$33,269.000000$40,560.000000$20,780.000000$91,250.000000$91.3k17983$-30,524.000000$-29,002.000000$-30,524.000000$30.5k$30,524.000000$25,800.000000$29,002.000000$13,952.000000$56,324.000000$56.3k221223$-30,833.000000$-23,721.000000$-30,833.000000$30.8k$30,833.000000$15,278.000000$23,721.000000$12,614.000000$46,111.000000$46.1k117189$-37,019.000000$-30,906.000000$-37,019.000000$37.0k$37,019.000000$19,886.000000$30,906.000000$12,327.000000$56,905.000000$56.9k576600
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 Brown County and the Town of Rockland
Town of Rockland
Brown County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma390.855457%87.434313%90.855457%90.9%30884.987893%81.330412%84.987893%85.0%35185.526316%73.234681%85.526316%85.5%19582.500000%55.352798%82.500000%82.5%33
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 Brown County and the Town of Rockland
Female Male
Brown County
Town of Rockland
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1AsianHispanic2Other1-2.338129%-5.354217%-2.338129%2.3%2.338129%2.255510%5.354217%1.180940%4.593640%4.6%2613-0.000000%-17.422313%-3.871360%0.000000%0.0%0.000000%0.000000%17.422313%0.000000%0.0%00-0.000000%-37.393703%0.000000%0.0%0.000000%58.333333%37.393703%7.009282%58.333333%58.3%140-0.000000%-27.580546%0.000000%0.0%0.000000%0.000000%27.580546%1.326983%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Brown County and the Town of Rockland
Female Male
Brown County
Town of Rockland
Shaded bar tips show excess over facing bar.
100%50%0%MFWhite1AsianHispanic2Other1-25.265018%-14.842896%-29.100286%-1.435135%-40.107914%40.1%25.265018%29.100286%25.265018%25.3%143223-33.333333%-66.666667%-32.813975%-100.000000%100.0%33.333333%32.813975%1.877823%33.333333%33.3%22-0.000000%-7.875098%-2.927016%0.000000%0.0%0.000000%12.500000%7.875098%12.500000%12.5%30-0.000000%-11.783961%-3.093938%0.000000%0.0%0.000000%0.000000%11.783961%0.000000%0.0%00
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 Green Bay Area

There are 69 county subdivisions in the Green Bay Area. This section compares the Town of Rockland to the 50 most populous county subdivisions in the Green Bay Area and to those entities that contain or substantially overlap with the Town of Rockland. The least populous of the compared county subdivisions has a population of 914.

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 Rockland, selected other county subdivisions in the Green Bay Area, and entities that contain the Town of Rockland
0%5%10%15%Count#Town of BrazeauBrazeauTown of Little RiverLittle RivTown of RiverviewRiverviewGillettTown of MorrisonMorrisonTown of MontpelierMontpelierTown of LincolnLincolnUnited States of AmericaUnited StatesTown of West KewauneeW KewauneeGreen BayTown of StilesStilesTown of GillettGillettEast North CentralTown of HumboldtHumboldtMidwestTown of HollandHollandTown of CarltonCarltonTown of PensaukeePensaukeeTown of OcontoOcontoTown of WrightstownWrightstownOcontoDenmarkBellevueAlgomaTown of EatonGreen Bay Metro AreaGreen BayWisconsinBrown CountyBrownAllouezOconto FallsTown of Red RiverRed RivTown of ScottTown of MorganMorganTown of Green BayGrn BayTown of Oconto FallsOconto FallsTown of FranklinFranklinHobart021400Tract 021400Town of AbramsAbramsAshwaubenonHowardTown of GlenmoreGlenmoreWrightstownTown of LuxemburgLuxemburgLuxemburgTown of Little SuamicoLittle SuamicoTown of New DenmarkNew DenmarkKewauneeTown of RocklandRocklandTown of PittsfieldPittsfieldTown of CascoTown of ChasePulaskiDe PereZIP Code 54115ZIP 54115SuamicoTown of LedgeviewLedgeviewTown of LawrenceLawrence16.600000%16.600000%16.6%166115.607735%15.607735%15.6%113213.748531%13.748531%13.7%117313.501647%13.501647%13.5%123413.487476%13.487476%13.5%140513.287514%13.287514%13.3%116613.050314%13.050314%13.1%83713.020590%13.020590%13.0%27,818,38027.8M12.660732%12.660732%12.7%128812.535944%12.535944%12.5%8,414912.066116%12.066116%12.1%1461010.749646%10.749646%10.7%761110.719464%10.719464%10.7%3,363,7843.36M10.662177%10.662177%10.7%951210.244520%10.244520%10.2%4,641,8354.64M10.227273%10.227273%10.2%991310.146862%10.146862%10.1%761410.130391%10.130391%10.1%101159.783728%9.783728%9.8%95169.711286%9.711286%9.7%148179.403311%9.403311%9.4%301189.357143%9.357143%9.4%131199.323378%9.323378%9.3%999209.187750%9.187750%9.2%207219.176030%9.176030%9.2%98228.685969%8.685969%8.7%18,36918.4k8.637220%8.637220%8.6%336,096336k8.601954%8.601954%8.6%14,60514.6k8.512097%8.512097%8.5%869238.349057%8.349057%8.3%177247.905138%7.905138%7.9%80256.977598%6.977598%7.0%190266.929348%6.929348%6.9%51276.866077%6.866077%6.9%101286.549708%6.549708%6.5%56296.486486%6.486486%6.5%48306.319703%6.319703%6.3%306316.264412%6.264412%6.3%3266.208426%6.208426%6.2%84326.168099%6.168099%6.2%739336.065319%6.065319%6.1%780345.790109%5.790109%5.8%48355.394191%5.394191%5.4%104365.327414%5.327414%5.3%48375.283505%5.283505%5.3%82384.992390%4.992390%5.0%164394.878049%4.878049%4.9%50404.569892%4.569892%4.6%102414.506803%4.506803%4.5%53424.465710%4.465710%4.5%84434.126214%4.126214%4.1%34444.116095%4.116095%4.1%78454.051079%4.051079%4.1%92463.911088%3.911088%3.9%600473.838384%3.838384%3.8%1,0833.395282%3.395282%3.4%285483.142019%3.142019%3.1%150490.893123%0.893123%0.9%3050
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#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Rockland, selected other county subdivisions in the Green Bay Area, and entities that contain the Town of Rockland
0%10%20%30%40%Count#Town of LedgeviewLedgeviewHobartAllouezDe PereTown of LawrenceLawrenceZIP Code 54115ZIP 54115SuamicoTown of RocklandRocklandWrightstownUnited States of AmericaUnited StatesTown of PittsfieldPittsfieldMidwestHowardEast North CentralWisconsinBrown CountyBrown021400Tract 021400AshwaubenonGreen Bay Metro AreaGreen BayTown of Green BayGrn BayBellevueTown of ScottTown of Little SuamicoLittle SuamicoTown of Red RiverRed RivGreen BayTown of Oconto FallsOconto FallsPulaskiTown of ChaseKewauneeTown of New DenmarkNew DenmarkLuxemburgDenmarkTown of GlenmoreGlenmoreTown of WrightstownWrightstownOconto FallsOcontoTown of EatonTown of AbramsAbramsTown of OcontoOcontoTown of PensaukeePensaukeeAlgomaTown of StilesStilesTown of HollandHollandTown of RiverviewRiverviewTown of FranklinFranklinTown of Little RiverLittle RivTown of MontpelierMontpelierTown of West KewauneeW KewauneeTown of LuxemburgLuxemburgTown of MorganMorganTown of CascoTown of HumboldtHumboldtTown of MorrisonMorrisonTown of CarltonCarltonGillettTown of LincolnLincolnTown of GillettGillettTown of BrazeauBrazeau45.831588%45.831588%45.8%2,188141.821561%41.821561%41.8%2,025236.575571%36.575571%36.6%3,734336.151489%36.151489%36.2%5,546435.695147%35.695147%35.7%1,199535.335814%35.335814%35.3%9,97034.774839%34.774839%34.8%2,919631.717687%31.717687%31.7%373730.757261%30.757261%30.8%593830.315023%30.315023%30.3%64,767,78764.8M29.346093%29.346093%29.3%552928.952816%28.952816%29.0%13,118,64213.1M28.794712%28.794712%28.8%3,7031028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.243623%28.243623%28.2%47,95448.0k28.093774%28.093774%28.1%1,46226.525332%26.525332%26.5%3,1781125.916521%25.916521%25.9%54,80854.8k25.900748%25.900748%25.9%3811224.965002%24.965002%25.0%2,6751324.935733%24.935733%24.9%6791424.809741%24.809741%24.8%8151524.802372%24.802372%24.8%2511624.139215%24.139215%24.1%16,20216.2k1723.040936%23.040936%23.0%1971821.664465%21.664465%21.7%4921921.635884%21.635884%21.6%4102021.057348%21.057348%21.1%4702120.878049%20.878049%20.9%2142220.231959%20.231959%20.2%3142320.142857%20.142857%20.1%2822419.662244%19.662244%19.7%1632519.553806%19.553806%19.6%2982617.311321%17.311321%17.3%3672716.744767%16.744767%16.7%5362816.573034%16.573034%16.6%1772916.555802%16.555802%16.6%2243016.271885%16.271885%16.3%1583116.148445%16.148445%16.1%1613216.111851%16.111851%16.1%3633315.867769%15.867769%15.9%1923415.599174%15.599174%15.6%1513515.158637%15.158637%15.2%1293614.864865%14.864865%14.9%1103714.502762%14.502762%14.5%1053813.631157%13.631157%13.6%1193913.155292%13.155292%13.2%1334013.096559%13.096559%13.1%1184112.635870%12.635870%12.6%934212.257282%12.257282%12.3%1014312.008979%12.008979%12.0%1074411.849711%11.849711%11.8%1234511.348465%11.348465%11.3%85469.989023%9.989023%10.0%91479.591195%9.591195%9.6%61489.476662%9.476662%9.5%67497.900000%7.900000%7.9%7950
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#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 Rockland, selected other county subdivisions in the Green Bay Area, and entities that contain the Town of Rockland
0%1%2%3%4%5%Count#Town of LawrenceLawrenceTown of LedgeviewLedgeviewAllouezTown of ScottTown of RocklandRocklandUnited States of AmericaUnited StatesZIP Code 54115ZIP 54115HobartOconto FallsDe PereTown of Red RiverRed RivMidwestEast North CentralWisconsinKewaunee021400Tract 021400SuamicoTown of Oconto FallsOconto FallsBrown CountyBrownTown of StilesStilesTown of PittsfieldPittsfieldGreen Bay Metro AreaGreen BayOcontoGreen BayTown of Green BayGrn BayWrightstownTown of Little SuamicoLittle SuamicoTown of LincolnLincolnTown of RiverviewRiverviewHowardTown of MontpelierMontpelierTown of WrightstownWrightstownGillettTown of New DenmarkNew DenmarkAshwaubenonTown of LuxemburgLuxemburgLuxemburgBellevueTown of EatonTown of FranklinFranklinTown of MorrisonMorrisonTown of GlenmoreGlenmoreTown of PensaukeePensaukeeTown of BrazeauBrazeauTown of West KewauneeW KewauneeTown of MorganMorganTown of HollandHollandTown of CarltonCarltonTown of CascoTown of OcontoOcontoTown of ChaseTown of AbramsAbramsPulaskiAlgomaDenmarkTown of HumboldtHumboldtTown of Little RiverLittle RivTown of GillettGillett5.180113%5.180113%5.2%17415.027231%5.027231%5.0%24024.358899%4.358899%4.4%44533.782593%3.782593%3.8%10343.401361%3.401361%3.4%4053.336158%3.336158%3.3%7,127,6737.13M3.182704%3.182704%3.2%8983.118546%3.118546%3.1%15163.113208%3.113208%3.1%6673.083241%3.083241%3.1%47383.063241%3.063241%3.1%3192.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.553763%2.553763%2.6%57102.517294%2.517294%2.5%1312.406481%2.406481%2.4%202112.222222%2.222222%2.2%19122.072008%2.072008%2.1%3,5182.066116%2.066116%2.1%25131.913876%1.913876%1.9%36141.879146%1.879146%1.9%3,9741.780694%1.780694%1.8%57151.777440%1.777440%1.8%1,193161.699524%1.699524%1.7%25171.504149%1.504149%1.5%29181.491629%1.491629%1.5%49191.415094%1.415094%1.4%9201.410106%1.410106%1.4%12211.384137%1.384137%1.4%178221.260023%1.260023%1.3%11231.246719%1.246719%1.2%19240.987925%0.987925%1.0%9250.878049%0.878049%0.9%9260.784576%0.784576%0.8%94270.776915%0.776915%0.8%7280.773196%0.773196%0.8%12290.765282%0.765282%0.8%82300.749064%0.749064%0.7%8310.675676%0.675676%0.7%5320.674374%0.674374%0.7%7330.603136%0.603136%0.6%5340.601805%0.601805%0.6%6350.600000%0.600000%0.6%6360.593472%0.593472%0.6%6370.543478%0.543478%0.5%4380.516529%0.516529%0.5%5390.400534%0.400534%0.4%3400.364078%0.364078%0.4%3410.308960%0.308960%0.3%3420.263852%0.263852%0.3%5430.221729%0.221729%0.2%3440.000000%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#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 Rockland, selected other county subdivisions in the Green Bay Area, and entities that contain the Town of Rockland
Female
Male
10x5x0xFM#RocklandOcontoPittsfieldDenmarkMorganCarltonGlenmoreDe PereTown of ScottOcontoNew DenmarkLincolnRiverviewZIP 54115Little SuamicoHollandGillettOconto FallsMontpelierTown of EatonGreen BayLittle RivGillettHumboldtGreen BayBrownRed RivWisconsinStilesBrazeauFranklinTract 021400W KewauneeMidwestEast North CentralLuxemburgTown of ChaseUnited StatesWrightstownSuamicoHowardPensaukeeLuxemburgLedgeviewMorrisonAbramsGrn BayAllouezWrightstownAshwaubenonTown of CascoBellevueAlgomaHobartOconto FallsPulaskiKewauneeLawrence-1.000000x-1.000000x2.953846x2.953846x2.95x2.257%2.26%6.667%6.67%1-1.000000x-1.000000x2.571364x2.571364x2.57x5.318%5.32%13.674%13.7%2-1.000000x-1.000000x2.518677x2.518677x2.52x2.542%2.54%6.403%6.40%3-1.000000x-1.000000x2.355563x2.355563x2.36x5.699%5.70%13.424%13.4%4-1.000000x-1.000000x2.297872x2.297872x2.30x4.167%4.17%9.574%9.57%5-1.000000x-1.000000x2.283739x2.283739x2.28x6.094%6.09%13.918%13.9%6-1.000000x-1.000000x2.259169x2.259169x2.26x3.571%3.57%8.068%8.07%7-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%8-1.000000x-1.000000x2.063668x2.063668x2.06x4.460%4.46%9.204%9.20%9-1.000000x-1.000000x1.859538x1.859538x1.86x6.832%6.83%12.705%12.7%10-1.000000x-1.000000x1.837743x1.837743x1.84x3.455%3.45%6.349%6.35%11-1.000000x-1.000000x1.781857x1.781857x1.78x9.325%9.32%16.615%16.6%12-1.000000x-1.000000x1.739652x1.739652x1.74x9.951%9.95%17.312%17.3%13-1.000000x-1.000000x1.700513x1.700513x1.70x2.879%2.88%4.896%4.90%-1.000000x-1.000000x1.671027x1.671027x1.67x3.697%3.70%6.177%6.18%14-1.000000x-1.000000x1.640228x1.640228x1.64x7.606%7.61%12.476%12.5%15-1.000000x-1.000000x1.581086x1.581086x1.58x8.150%8.15%12.887%12.9%16-1.000000x-1.000000x1.457645x1.457645x1.46x5.301%5.30%7.727%7.73%17-1.000000x-1.000000x1.449249x1.449249x1.45x10.660%10.7%15.449%15.4%18-1.000000x-1.000000x1.440913x1.440913x1.44x7.486%7.49%10.786%10.8%19-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%20-1.000000x-1.000000x1.398582x1.398582x1.40x12.931%12.9%18.085%18.1%21-1.000000x-1.000000x1.374407x1.374407x1.37x11.379%11.4%15.639%15.6%22-1.000000x-1.000000x1.363631x1.363631x1.36x8.986%8.99%12.254%12.3%23-1.000000x-1.000000x1.245810x1.245810x1.25x7.746%7.75%9.650%9.65%-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%-1.000000x-1.000000x1.226145x1.226145x1.23x7.085%7.09%8.687%8.69%24-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.210467x1.210467x1.21x10.830%10.8%13.110%13.1%25-1.000000x-1.000000x1.208490x1.208490x1.21x15.030%15.0%18.164%18.2%26-1.000000x-1.000000x1.201139x1.201139x1.20x5.898%5.90%7.084%7.08%27-1.000000x-1.000000x1.189014x1.189014x1.19x5.718%5.72%6.798%6.80%-1.000000x-1.000000x1.144599x1.144599x1.14x11.811%11.8%13.519%13.5%28-1.000000x-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-1.000000x1.112689x1.112689x1.11x5.024%5.02%5.590%5.59%29-1.000000x-1.000000x1.111622x1.111622x1.11x3.899%3.90%4.334%4.33%30-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.088361x1.088361x1.09x9.280%9.28%10.100%10.1%31-1.000000x-1.000000x1.058399x1.058399x1.06x3.299%3.30%3.492%3.49%32-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%33-1.000000x-1.000000x1.053928x1.053928x1.05x9.853%9.85%10.385%10.4%34-1.017857x-1.017857x1.02x1.000000x1.000000x5.328%5.33%5.235%5.23%35-1.069705x-1.069705x1.07x1.000000x1.000000x3.246%3.25%3.034%3.03%36-1.095584x-1.095584x1.10x1.000000x1.000000x14.095%14.1%12.865%12.9%37-1.127994x-1.127994x1.13x1.000000x1.000000x6.587%6.59%5.839%5.84%38-1.178462x-1.178462x1.18x1.000000x1.000000x7.461%7.46%6.331%6.33%39-1.228382x-1.228382x1.23x1.000000x1.000000x9.398%9.40%7.651%7.65%40-1.229865x-1.229865x1.23x1.000000x1.000000x5.943%5.94%4.832%4.83%41-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%42-1.251923x-1.251923x1.25x1.000000x1.000000x4.615%4.62%3.687%3.69%43-1.346928x-1.346928x1.35x1.000000x1.000000x10.654%10.7%7.910%7.91%44-1.366355x-1.366355x1.37x1.000000x1.000000x10.586%10.6%7.748%7.75%45-1.466824x-1.466824x1.47x1.000000x1.000000x7.457%7.46%5.084%5.08%46-1.555556x-1.555556x1.56x1.000000x1.000000x10.000%10.0%6.429%6.43%47-1.735089x-1.735089x1.74x1.000000x1.000000x4.957%4.96%2.857%2.86%48-1.821001x-1.821001x1.82x1.000000x1.000000x5.784%5.78%3.176%3.18%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.877%1.88%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#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 Rockland, selected other county subdivisions in the Green Bay Area, and entities that contain the Town of Rockland
Female
Male
10x5x0x5x10xFM#KewauneeNew DenmarkOcontoOconto FallsGlenmoreMontpelierTown of CascoTown of ScottStilesRed RivHollandOcontoRiverviewMorrisonWrightstownHowardLuxemburgLedgeviewLawrenceGillettGreen BayAllouezBrownGreen BayTract 021400SuamicoEast North CentralMidwestTown of EatonWisconsinUnited StatesZIP 54115RocklandDe PereWrightstownPittsfieldLuxemburgOconto FallsW KewauneeGrn BayPensaukeeFranklinAshwaubenonHobartBellevueBrazeauLincolnLittle SuamicoTown of ChaseAbramsCarltonMorgan-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.486%5.49%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.786%1.79%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.615%0.61%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.318%4.32%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.222%1.22%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.296%2.30%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.691%0.69%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.548%0.55%6.644%6.64%8-1.000000x-1.000000x9.711890x9.711890x9.71x0.361%0.36%3.506%3.51%9-1.000000x-1.000000x8.900901x8.900901x8.90x0.607%0.61%5.405%5.41%10-1.000000x-1.000000x3.431862x3.431862x3.43x0.224%0.22%0.768%0.77%11-1.000000x-1.000000x3.210771x3.210771x3.21x0.856%0.86%2.748%2.75%12-1.000000x-1.000000x2.815490x2.815490x2.82x0.728%0.73%2.050%2.05%13-1.000000x-1.000000x2.558480x2.558480x2.56x0.381%0.38%0.975%0.97%14-1.000000x-1.000000x2.520698x2.520698x2.52x0.693%0.69%1.746%1.75%15-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%16-1.000000x-1.000000x2.166443x2.166443x2.17x0.496%0.50%1.074%1.07%17-1.000000x-1.000000x2.041817x2.041817x2.04x3.328%3.33%6.795%6.79%18-1.000000x-1.000000x2.016531x2.016531x2.02x3.379%3.38%6.814%6.81%19-1.000000x-1.000000x2.013216x2.013216x2.01x0.656%0.66%1.322%1.32%20-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%21-1.000000x-1.000000x1.991366x1.991366x1.99x2.901%2.90%5.777%5.78%22-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%-1.000000x-1.000000x1.720824x1.720824x1.72x1.386%1.39%2.385%2.38%-1.000000x-1.000000x1.688449x1.688449x1.69x1.867%1.87%3.152%3.15%-1.000000x-1.000000x1.601911x1.601911x1.60x1.851%1.85%2.966%2.97%23-1.000000x-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-1.000000x1.587447x1.587447x1.59x0.576%0.58%0.914%0.91%24-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.462537x1.462537x1.46x2.609%2.61%3.815%3.82%-1.000000x-1.000000x1.440000x1.440000x1.44x2.778%2.78%4.000%4.00%25-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%26-1.000000x-1.000000x1.261797x1.261797x1.26x1.332%1.33%1.681%1.68%27-1.000000x-1.000000x1.259338x1.259338x1.26x1.695%1.69%2.134%2.13%28-1.000000x-1.000000x1.153899x1.153899x1.15x0.718%0.72%0.828%0.83%29-1.000000x-1.000000x1.030321x1.030321x1.03x3.070%3.07%3.163%3.16%30-1.000000x-1.000000x1.009940x1.009940x1.01x0.591%0.59%0.596%0.60%31-1.025052x-1.025052x1.03x1.000000x1.000000x1.722%1.72%1.680%1.68%32-1.090147x-1.090147x1.09x1.000000x1.000000x0.629%0.63%0.577%0.58%33-1.475871x-1.475871x1.48x1.000000x1.000000x0.804%0.80%0.545%0.54%34-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%35-1.653790x-1.653790x1.65x1.000000x1.000000x3.848%3.85%2.327%2.33%36-1.720627x-1.720627x1.72x1.000000x1.000000x0.960%0.96%0.558%0.56%37-2.008016x-2.008016x2.01x1.000000x1.000000x0.802%0.80%0.399%0.40%38-2.090032x-2.090032x2.09x1.000000x1.000000x1.929%1.93%0.923%0.92%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.123%3.12%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.527%0.53%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.449%0.45%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.831%0.83%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.111%1.11%0.000%0%44
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 44 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 Rockland to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with the Town of Rockland. 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 Rockland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Rockland
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeMarshfieldFond du LacGreen Bay Metro AreaGreen BayFitchburgWisconsinBrown CountyBrownJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperior021400Tract 021400Town of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonTown of RocklandRocklandMenomonee FallsNew BerlinOconomowocSun PrairieDe PereZIP Code 54115ZIP 54115MuskegoWauwatosaBrookfieldMiddletonMequon18.491431%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%1,115129.190270%9.190270%9.2%1,379138.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.685969%8.685969%8.7%18,36918.4k8.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.601954%8.601954%8.6%14,60514.6k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%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%1,142296.264412%6.264412%6.3%3266.244351%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%7,351404.506803%4.506803%4.5%534.484909%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%600453.838384%3.838384%3.8%1,0833.554446%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 Rockland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Rockland
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaZIP Code 54115ZIP 54115OnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteTown of RocklandRocklandOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldBrown CountyBrown021400Tract 021400West BendAshwaubenonGreen Bay Metro AreaGreen BayWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%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%16,84916.8k1535.335814%35.335814%35.3%9,97035.152908%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%5,1072531.717687%31.717687%31.7%37331.640023%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%3,5033128.243623%28.243623%28.2%47,95448.0k28.093774%28.093774%28.1%1,46227.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783325.916521%25.916521%25.9%54,80854.8k25.519199%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%2,00350
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 Rockland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Rockland
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinTown of RocklandRocklandUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahZIP Code 54115ZIP 54115FranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver Dam021400Tract 021400WausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaBrown CountyBrownMilwaukeeGreen Bay Metro AreaGreen BayGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%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%1,125133.401361%3.401361%3.4%403.336158%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%552163.182704%3.182704%3.2%8983.100626%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%286242.517294%2.517294%2.5%1312.416704%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%1,039302.072008%2.072008%2.1%3,5182.043126%2.043126%2.0%7,455311.879146%1.879146%1.9%3,9741.868992%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%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%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%9450
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 Rockland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Rockland
Female
Male
1x0x1x2xFM#RocklandDe PereMenashaOshkoshZIP 54115FranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorGreen BayBrownStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonTract 021400MuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.953846x2.953846x2.95x2.257%2.26%6.667%6.67%-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-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.700513x1.700513x1.70x2.879%2.88%4.896%4.90%-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-1.000000x1.432549x1.432549x1.43x9.294%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-1.000000x1.245810x1.245810x1.25x7.746%7.75%9.650%9.65%-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%-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-1.000000x1.189014x1.189014x1.19x5.718%5.72%6.798%6.80%-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%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-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-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 Rockland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Rockland
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonBrownFond du LacGreen BayNew BerlinWest AllisTract 021400WauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseZIP 54115S MilwaukeeMiddletonRocklandMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-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-1.000000x1.808864x1.808864x1.81x5.081%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-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.720824x1.720824x1.72x1.386%1.39%2.385%2.38%-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-1.000000x1.688449x1.688449x1.69x1.867%1.87%3.152%3.15%-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-1.000000x1.462537x1.462537x1.46x2.609%2.61%3.815%3.82%-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-1.000000x1.440000x1.440000x1.44x2.778%2.78%4.000%4.00%-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 Rockland to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Town of Rockland. 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 Rockland, selected other county subdivisions in the Midwest, and entities that contain the Town of Rockland
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 FallsGreen Bay Metro AreaGreen BayWisconsinCapital TownshipCapitalBrown CountyBrownWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlathe021400Tract 021400FargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonTown of RocklandRocklandDowners Grove TownshipDowners GrvZIP Code 54115ZIP 54115Lisle 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%9,123348.685969%8.685969%8.7%18,36918.4k8.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.601954%8.601954%8.6%14,60514.6k8.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.264412%6.264412%6.3%3266.055621%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%7,351464.506803%4.506803%4.5%534.020265%4.020265%4.0%4,166473.838384%3.838384%3.8%1,0833.522812%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 Rockland, selected other county subdivisions in the Midwest, and entities that contain the Town of Rockland
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalZIP Code 54115ZIP 54115ColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsTown of RocklandRocklandUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinBrown CountyBrown021400Tract 021400Sterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoGreen Bay Metro AreaGreen BayWorth 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%28,78028.8k2135.335814%35.335814%35.3%9,97034.685843%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%27,10227.1k2831.717687%31.717687%31.7%37330.315023%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%1,104,0821.10M28.243623%28.243623%28.2%47,95448.0k28.093774%28.093774%28.1%1,46227.532180%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%27,03327.0k3425.916521%25.916521%25.9%54,80854.8k25.217641%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#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 Rockland, selected other county subdivisions in the Midwest, and entities that contain the Town of Rockland
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingTown of RocklandRocklandColumbusUnited States of AmericaUnited StatesTopekaZIP Code 54115ZIP 54115Grand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichita021400Tract 021400Proviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleBrown CountyBrownRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandGreen Bay Metro AreaGreen BayToledoNorth 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%3,779213.401361%3.401361%3.4%403.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.182704%3.182704%3.2%8983.174629%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%6,260322.517294%2.517294%2.5%1312.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.072008%2.072008%2.1%3,5182.067272%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%4,911391.879146%1.879146%1.9%3,9741.642065%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#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 Rockland, selected other county subdivisions in the Midwest, and entities that contain the Town of Rockland
Female
Male
1x0x1x2xFM#RocklandZIP 54115Green BayCedar RapidsLincolnDetroitBrownOmahaToledoWisconsinThorntonKansas CityMadisonTract 021400LawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.953846x2.953846x2.95x2.257%2.26%6.667%6.67%-1.000000x-1.000000x1.700513x1.700513x1.70x2.879%2.88%4.896%4.90%-1.000000x-1.000000x1.245810x1.245810x1.25x7.746%7.75%9.650%9.65%-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-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%-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-1.000000x1.189014x1.189014x1.19x5.718%5.72%6.798%6.80%-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-1.000000x1.132245x1.132245x1.13x19.779%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-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Rockland, selected other county subdivisions in the Midwest, and entities that contain the Town of Rockland
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldBrownOverland ParkGreen BayMiltonGrand RapidsTract 021400OlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsZIP 54115PalatineRocklandSchaumburgColumbusMadisonKaw 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-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.720824x1.720824x1.72x1.386%1.39%2.385%2.38%-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-1.000000x1.688449x1.688449x1.69x1.867%1.87%3.152%3.15%-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-1.000000x1.462537x1.462537x1.46x2.609%2.61%3.815%3.82%-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.440000x1.440000x1.44x2.778%2.78%4.000%4.00%-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 Rockland to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Town of Rockland. 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 Rockland, selected other county subdivisions in the United States, and entities that contain the Town of Rockland
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 HarrisWashingtonAtlantaSeattleGreen Bay Metro AreaGreen BayWisconsinBrown CountyBrownNortheast TarrantNE Tarrant021400Tract 021400PlanoSeattle EastTown of RocklandRocklandZIP Code 54115ZIP 5411528.998944%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%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.685969%8.685969%8.7%18,36918.4k8.637220%8.637220%8.6%336,096336k8.601954%8.601954%8.6%14,60514.6k8.418271%8.418271%8.4%31,44331.4k486.264412%6.264412%6.3%3265.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k504.506803%4.506803%4.5%533.838384%3.838384%3.8%1,083
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 Rockland, selected other county subdivisions in the United States, and entities that contain the Town of Rockland
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoZIP Code 54115ZIP 54115ColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonTown of RocklandRocklandOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinBrown CountyBrownSacramento021400Tract 021400East San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiGreen Bay Metro AreaGreen BayFort 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%669,666670k1735.335814%35.335814%35.3%9,97034.685843%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%184,237184k2631.717687%31.717687%31.7%37331.198303%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%1,104,0821.10M28.243623%28.243623%28.2%47,95448.0k28.231204%28.231204%28.2%209,283209k3628.093774%28.093774%28.1%1,46227.276345%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%178,455178k4025.916521%25.916521%25.9%54,80854.8k24.665414%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#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 Rockland, selected other county subdivisions in the United States, and entities that contain the Town of Rockland
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…Town of RocklandRocklandBrooklynSacramentoColumbusUnited States of AmericaUnited StatesZIP Code 54115ZIP 54115TulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE Tarrant021400Tract 021400East San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasBrown CountyBrownMilwaukeeGreen Bay Metro AreaGreen BaySan 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%15,21115.2k273.401361%3.401361%3.4%403.384967%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%7,127,6737.13M3.182704%3.182704%3.2%8983.140490%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%9,827392.517294%2.517294%2.5%1312.484535%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%26,91426.9k432.072008%2.072008%2.1%3,5182.043126%2.043126%2.0%7,455441.879146%1.879146%1.9%3,9741.807306%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#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 Rockland, selected other county subdivisions in the United States, and entities that contain the Town of Rockland
Female
Male
1x0x1x2xFM#RocklandZIP 541151, CharlotteGreen BayDetroitBrownWisconsinTract 021400BaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited 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-1.000000x2.953846x2.953846x2.95x2.257%2.26%6.667%6.67%-1.000000x-1.000000x1.700513x1.700513x1.70x2.879%2.88%4.896%4.90%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.245810x1.245810x1.25x7.746%7.75%9.650%9.65%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.236680x1.236680x1.24x7.707%7.71%9.531%9.53%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.189014x1.189014x1.19x5.718%5.72%6.798%6.80%-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-1.000000x1.127915x1.127915x1.13x9.647%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-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Rockland, selected other county subdivisions in the United States, and entities that contain the Town of Rockland
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoBrownGreen BayTulsaAlbuquerqueNE DallasTract 021400Fort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaZIP 54115San Fernando VlyE San Gabriel VlyRocklandHoustonSan 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-1.000000x1.733262x1.733262x1.73x1.524%1.52%2.641%2.64%-1.000000x-1.000000x1.720824x1.720824x1.72x1.386%1.39%2.385%2.38%-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-1.000000x1.688449x1.688449x1.69x1.867%1.87%3.152%3.15%-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-1.000000x1.462537x1.462537x1.46x2.609%2.61%3.815%3.82%-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-1.000000x1.440000x1.440000x1.44x2.778%2.78%4.000%4.00%-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

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Brown
Metro Area:
Green Bay Area
ZIP Code:
54115
Unified School Districts:
De Pere, Wrightstown
Congressional District:
WI-8
State Senate District:
WI-1
Assembly District:
WI-2
Neighboring Cities:
De Pere
Neighboring Towns:
Glenmore, Lawrence, Ledgeview, Wrightstown
Nearby Towns:
Holland, Kaukauna, Morrison