Educational Attainment in the Berlin Township, St. Clair County, Michigan (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of St. Clair County and the Berlin Township
Berlin Township
St. Clair County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma229.036516%28.432645%29.036516%29.0%66061.680598%61.081613%61.680598%61.7%1,4029.282886%10.485741%9.282886%9.3%211
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 St. Clair County at large.
Scope: population of St. Clair County and the Berlin Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma22.123862%2.123862%+2.1%29.037%29.0%28.433%28.4%0.980630%0.980630%+1.0%61.681%61.7%61.082%61.1%-11.471341%-11.471341%-11.5%9.283%9.28%10.486%10.5%
% percentage with given level in the Berlin Township
ref. percentage with given level in St. Clair 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 St. Clair County and the Berlin Township
Berlin Township
St. Clair County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.471863%01.011879%0.861351%1.011879%1.0%232.199736%4.925460%2.199736%2.2%5014.166300%11.331871%14.166300%14.2%32211.658601%10.842101%11.658601%11.7%26526.616806%26.130635%26.616806%26.6%60535.063792%34.950978%35.063792%35.1%7974.399472%7.900792%4.399472%4.4%1003.783546%1.528406%3.783546%3.8%861.099868%1.056543%1.099868%1.1%25
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 St. Clair County at large.
Scope: population of St. Clair County and the Berlin Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.472%0.47%17.475737%17.475737%+17.5%1.012%1.01%0.861%0.86%-55.339480%-55.339480%-55.3%2.200%2.20%4.925%4.93%25.012897%25.012897%+25.0%14.166%14.2%11.332%11.3%7.530832%7.530832%+7.5%11.659%11.7%10.842%10.8%1.860539%1.860539%+1.9%26.617%26.6%26.131%26.1%0.322778%0.322778%+0.3%35.064%35.1%34.951%35.0%-44.316066%-44.316066%-44.3%4.399%4.40%7.901%7.90%147.548525%147.548525%+147.5%3.784%3.78%1.528%1.53%4.100644%4.100644%+4.1%1.100%1.10%1.057%1.06%
% percentage with given level in the Berlin Township
ref. percentage with given level in St. Clair 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 St. Clair County and the Berlin Township
More Females More Males
St. Clair County
Berlin Township
20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-38.540273%-24.361780%-38.540273%39%33.682%33.7%24.312%24.3%11.095631%7.474864%11.095631%11%58.464%58.5%64.951%65.0%36.711032%18.184215%36.711032%37%7.853%7.85%10.736%10.7%
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 St. Clair County and the Berlin Township
More Females More Males
St. Clair County
Berlin Township
50%0%50%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-52.976537%-0.171309%-52.976537%53%1.222%1.22%0.799%0.80%-6.537231%-39.514938%-6.537231%7%2.269%2.27%2.130%2.13%-29.471920%-3.751783%-29.471920%29%15.969%16.0%12.334%12.3%-57.154467%-48.819555%-57.154467%57%14.223%14.2%9.051%9.05%8.279857%2.919809%8.279857%8%25.567%25.6%27.684%27.7%13.284017%11.012706%13.284017%13%32.897%32.9%37.267%37.3%29.418408%20.805779%29.418408%29%3.839%3.84%4.969%4.97%41.230405%22.892971%41.230405%41%3.141%3.14%4.437%4.44%-5.424620%52.528838%52.528838%53%0.873%0.87%1.331%1.33%
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 St. Clair County and the Berlin Township
Berlin Township
St. Clair County
0%5%10%15%20%B.X.Total65+45-6435-4425-3414.156080%7.798200%14.156080%14.2%7855112.608277%10.473846%12.608277%12.6%1311,03911.597938%14.266864%11.597938%11.6%4538823.050847%16.103497%23.050847%23.1%68295
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 St. Clair County at large.
Scope: population of St. Clair County and the Berlin Township
0%20%40%60%80%%ref.65+45-6435-4425-3481.530105%81.530105%81.5%14.156%14.2%7.798%7.80%20.378678%20.378678%20.4%12.608%12.6%10.474%10.5%-18.707164%-18.707164%18.7%11.598%11.6%14.267%14.3%43.141873%43.141873%43.1%23.051%23.1%16.103%16.1%
% percentage in the Berlin Township with a Bachelor's degree
ref percentage in St. Clair 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 St. Clair County and the Berlin Township
More Females More Males
St. Clair County
Berlin Township
100%50%0%FM65+45-6435-4425-34-37.284483%-37.284483%37.3%30.851947%16.118%16.1%11.741%11.7%-6.119256%4.841724%4.841724%4.8%12.302%12.3%12.897%12.9%-122.021116%-122.021116%122.0%0.028261%15.686%15.7%7.065%7.07%-71.641791%-39.559836%-71.641791%71.6%29.851%29.9%17.391%17.4%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of St. Clair County and the Berlin Township
Berlin Township
St. Clair County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$62,115.000000$66,352.000000$62,115.000000$62.1k733.212%3.21%$37,917.000000$46,190.000000$37,917.000000$37.9k32214.166%14.2%$31,250.000000$32,002.000000$31,250.000000$31.3k87038.275%38.3%$37,955.000000$28,365.000000$37,955.000000$38.0k79735.064%35.1%$21,339.000000$19,688.000000$21,339.000000$21.3k2119.283%9.28%$35,064.000000$32,477.000000$35,064.000000$35.1k2,273100.000%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 St. Clair County and the Berlin Township
Female Male
St. Clair County
Berlin Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-61,923.000000$-6,202.000000$-60,406.000000$-68,125.000000$68.1k$61,923.000000$60,406.000000$18,774.000000$61,923.000000$61.9k4033$-26,193.000000$-36,250.000000$-26,193.000000$26.2k$26,193.000000$40,335.000000$36,250.000000$27,348.000000$66,528.000000$66.5k183139$-27,500.000000$-24,591.000000$-27,500.000000$27.5k$27,500.000000$14,609.000000$24,591.000000$21,689.000000$42,109.000000$42.1k456414$-12,337.000000$-17,866.000000$-12,337.000000$12.3k$12,337.000000$39,057.000000$17,866.000000$21,064.000000$51,394.000000$51.4k377420$-25,875.000000$-25,079.000000$-25,875.000000$25.9k$25,875.000000$25,121.000000$25,079.000000$18,387.000000$50,996.000000$51.0k1,1461,127
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 St. Clair County and the Berlin Township
Berlin Township
St. Clair County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma393.402778%81.283081%93.402778%93.4%26984.688347%72.707713%84.688347%84.7%62571.071429%64.269191%71.071429%71.1%39846.323529%43.931110%46.323529%46.3%63
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 St. Clair County and the Berlin Township
Female Male
St. Clair County
Berlin Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%80%MFWhite1Hispanic2Other1-6.175115%-9.221323%-6.175115%6.2%6.175115%1.902879%9.221323%1.699562%8.077994%8.1%8767-57.500000%-17.043619%-0.630444%-57.500000%57.5%57.500000%25.357143%17.043619%82.857143%82.9%2923-35.416667%-15.409570%-35.416667%35.4%35.416667%31.250000%15.409570%3.160685%66.666667%66.7%2017
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 St. Clair County and the Berlin Township
Female Male
St. Clair County
Berlin Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1Hispanic2Other1-15.598886%-3.755953%-16.546437%-2.192050%-19.354839%19.4%15.598886%16.546437%15.598886%15.6%168210-0.000000%-13.618975%0.000000%0.0%0.000000%0.000000%13.618975%1.162932%0.000000%0.0%00-13.333333%-13.750000%-18.410381%-27.083333%27.1%13.333333%18.410381%3.200136%13.333333%13.3%413
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 Detroit Area

There are 192 county subdivisions in the Detroit Area. This section compares the Berlin Township to the 50 most populous county subdivisions in the Detroit Area and to those entities that contain or substantially overlap with the Berlin Township. The least populous of the compared county subdivisions has a population of 21,503.

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 Berlin Township, selected other county subdivisions in the Detroit Area, and entities that contain the Berlin Township
0%10%20%Count#HamtramckPontiacDetroitLincoln ParkDearbornMadison HeightsMadison HtsInksterTaylorWarrenPort HuronRosevilleSterling HeightsSterling HtsDearborn HeightsDearborn HtsEastpointeUnited States of AmericaUnited StatesGarden CityRedford Charter TownshipRedfordWestlandRomulusSouthgate657200Tract 657200Detroit, Warren, and Dearborn Metro AreaDetroit AreaEast North CentralSt. Clair CountySt. ClairMidwestWyandotteMichiganClinton Charter TownshipClintonBrownstown Charter TownshipBrownstownZIP Code 48002ZIP 48002Berlin TownshipBerlinVan Buren Charter TownshipVan BurenShelby Charter TownshipShelbyWaterford Charter TownshipWaterfordChesterfield TownshipChesterfieldAuburn HillsSt. Clair ShoresSt. Clair ShrsHarrison Charter TownshipHarrisonAllen ParkOak ParkSouthfieldWhite Lake Charter TownshipWhite LkWashington TownshipWashingtonMacomb TownshipMacombTroyLivoniaCommerce Charter TownshipCommerceIndependence Charter TownshipIndependenceWest Bloomfield Charter TownshipW BloomfieldCanton Charter TownshipCantonFarmington HillsFarmington HlsNoviHamburg TownshipHamburgOrion Charter TownshipOrionRochester HillsRochester HlsRoyal OakPlymouth Charter TownshipPlymouthNorthville TownshipNorthvilleBloomfield Charter TownshipBloomfield29.055690%29.055690%29.1%3,600121.373963%21.373963%21.4%7,884221.003600%21.003600%21.0%90,67890.7k320.585027%20.585027%20.6%5,095419.742370%19.742370%19.7%11,37211.4k517.134492%17.134492%17.1%3,687616.478701%16.478701%16.5%2,557716.206399%16.206399%16.2%6,737815.286174%15.286174%15.3%14,05914.1k913.675169%13.675169%13.7%2,6271013.556370%13.556370%13.6%4,4371113.132171%13.132171%13.1%12,21212.2k1213.107879%13.107879%13.1%4,8761313.038340%13.038340%13.0%2,7581413.020590%13.020590%13.0%27,818,38027.8M12.334288%12.334288%12.3%2,3261512.255521%12.255521%12.3%3,9791612.241313%12.241313%12.2%7,0391712.161353%12.161353%12.2%1,8271811.131934%11.131934%11.1%2,3761910.968775%10.968775%11.0%41110.891515%10.891515%10.9%318,915319k10.719464%10.719464%10.7%3,363,7843.36M10.485741%10.485741%10.5%11,71111.7k10.244520%10.244520%10.2%4,641,8354.64M10.218072%10.218072%10.2%1,8932010.122386%10.122386%10.1%676,467676k9.968068%9.968068%10.0%7,055219.922549%9.922549%9.9%2,037229.282886%9.282886%9.3%2119.282886%9.282886%9.3%2118.959108%8.959108%9.0%1,687238.716124%8.716124%8.7%4,776248.259673%8.259673%8.3%4,261258.254939%8.254939%8.3%2,457267.805088%7.805088%7.8%1,086277.758389%7.758389%7.8%3,468287.574765%7.574765%7.6%1,388297.544109%7.544109%7.5%1,488307.536422%7.536422%7.5%1,495317.268247%7.268247%7.3%3,805327.161221%7.161221%7.2%1,532336.987688%6.987688%7.0%1,277346.500832%6.500832%6.5%3,596356.144582%6.144582%6.1%3,592365.851570%5.851570%5.9%4,059375.638177%5.638177%5.6%1,634385.571180%5.571180%5.6%1,347395.524850%5.524850%5.5%2,569405.269160%5.269160%5.3%3,142414.930117%4.930117%4.9%2,896424.747842%4.747842%4.7%1,881434.725490%4.725490%4.7%723444.506429%4.506429%4.5%1,097454.098684%4.098684%4.1%2,080463.474411%3.474411%3.5%1,554473.332823%3.332823%3.3%653482.597726%2.597726%2.6%521492.411649%2.411649%2.4%73750
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 Berlin Township, selected other county subdivisions in the Detroit Area, and entities that contain the Berlin Township
0%20%40%60%Count#Bloomfield Charter TownshipBloomfieldNorthville TownshipNorthvilleNoviTroyWest Bloomfield Charter TownshipW BloomfieldRochester HillsRochester HlsRoyal OakFarmington HillsFarmington HlsPlymouth Charter TownshipPlymouthCanton Charter TownshipCantonCommerce Charter TownshipCommerceOrion Charter TownshipOrionAuburn HillsIndependence Charter TownshipIndependenceHamburg TownshipHamburgSouthfieldLivoniaMacomb TownshipMacombShelby Charter TownshipShelbyWashington TownshipWashingtonWhite Lake Charter TownshipWhite LkUnited States of AmericaUnited StatesDetroit, Warren, and Dearborn Metro AreaDetroit AreaOak ParkMidwestDearbornEast North CentralSterling HeightsSterling HtsMichiganWaterford Charter TownshipWaterfordAllen ParkVan Buren Charter TownshipVan BurenSt. Clair ShoresSt. Clair ShrsHarrison Charter TownshipHarrisonBrownstown Charter TownshipBrownstownChesterfield TownshipChesterfieldClinton Charter TownshipClintonMadison HeightsMadison HtsDearborn HeightsDearborn HtsRedford Charter TownshipRedfordWestlandWyandotteSt. Clair CountySt. ClairZIP Code 48002ZIP 48002Berlin TownshipBerlinWarrenSouthgateEastpointePort Huron657200Tract 657200DetroitRomulusHamtramckPontiacInksterRosevilleGarden CityTaylorLincoln Park71.384162%71.384162%71.4%21,81521.8k162.275628%62.275628%62.3%12,49012.5k258.268969%58.268969%58.3%23,08523.1k357.983510%57.983510%58.0%33,89633.9k457.534571%57.534571%57.5%26,75326.8k555.316466%55.316466%55.3%28,07228.1k654.354193%54.354193%54.4%24,31124.3k753.361366%53.361366%53.4%31,34531.3k851.885878%51.885878%51.9%10,16610.2k948.829448%48.829448%48.8%29,11729.1k1043.393948%43.393948%43.4%12,57612.6k1143.141766%43.141766%43.1%10,50210.5k1242.475205%42.475205%42.5%5,9101341.790057%41.790057%41.8%10,10410.1k1436.960784%36.960784%37.0%5,6551536.811140%36.811140%36.8%19,27119.3k1636.281464%36.281464%36.3%25,16725.2k1733.934124%33.934124%33.9%18,77118.8k1833.169085%33.169085%33.2%18,17518.2k1932.437756%32.437756%32.4%5,9282030.986771%30.986771%31.0%6,6292130.315023%30.315023%30.3%64,767,78764.8M29.536919%29.536919%29.5%864,872865k29.394566%29.394566%29.4%5,8312228.952816%28.952816%29.0%13,118,64213.1M28.929551%28.929551%28.9%16,66416.7k2328.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k2427.410304%27.410304%27.4%1,831,7981.83M26.713577%26.713577%26.7%13,78113.8k2524.751572%24.751572%24.8%4,8822624.652151%24.652151%24.7%4,6422724.402685%24.402685%24.4%10,90810.9k2824.061340%24.061340%24.1%4,4092923.717668%23.717668%23.7%4,8693023.061416%23.061416%23.1%6,8643121.521420%21.521420%21.5%15,23215.2k3221.396041%21.396041%21.4%4,6043320.398398%20.398398%20.4%7,5883419.274956%19.274956%19.3%6,2583518.863692%18.863692%18.9%10,84710.8k3617.791212%17.791212%17.8%3,2963717.590545%17.590545%17.6%19,64619.6k17.377915%17.377915%17.4%39517.377915%17.377915%17.4%39517.280259%17.280259%17.3%15,89315.9k3817.049288%17.049288%17.0%3,6393915.368978%15.368978%15.4%3,2514014.877668%14.877668%14.9%2,8584114.251401%14.251401%14.3%53413.833543%13.833543%13.8%59,72359.7k4213.432736%13.432736%13.4%2,0184312.623083%12.623083%12.6%1,5644412.050643%12.050643%12.1%4,4454511.658181%11.658181%11.7%1,8094611.655973%11.655973%11.7%3,8154711.210097%11.210097%11.2%2,1144810.380082%10.380082%10.4%4,315498.601673%8.601673%8.6%2,12950
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 Berlin Township, selected other county subdivisions in the Detroit Area, and entities that contain the Berlin Township
0%5%10%15%Count#Bloomfield Charter TownshipBloomfieldWest Bloomfield Charter TownshipW BloomfieldNorthville TownshipNorthvilleTroyRoyal OakRochester HillsRochester HlsFarmington HillsFarmington HlsNoviPlymouth Charter TownshipPlymouthCanton Charter TownshipCantonIndependence Charter TownshipIndependenceCommerce Charter TownshipCommerceUnited States of AmericaUnited StatesShelby Charter TownshipShelbySouthfieldDearbornDetroit, Warren, and Dearborn Metro AreaDetroit AreaMidwestEast North CentralLivoniaAuburn HillsMichiganOrion Charter TownshipOrionHamburg TownshipHamburgWashington TownshipWashingtonOak ParkDearborn HeightsDearborn HtsWhite Lake Charter TownshipWhite LkBrownstown Charter TownshipBrownstownHarrison Charter TownshipHarrisonMacomb TownshipMacombHamtramckSt. Clair ShoresSt. Clair ShrsWyandotteRedford Charter TownshipRedfordAllen ParkVan Buren Charter TownshipVan BurenWaterford Charter TownshipWaterfordPort HuronSterling HeightsSterling HtsClinton Charter TownshipClintonMadison HeightsMadison HtsSt. Clair CountySt. ClairDetroitWarrenGarden CityChesterfield TownshipChesterfieldZIP Code 48002ZIP 48002Berlin TownshipBerlin657200Tract 657200PontiacWestlandSouthgateInksterTaylorEastpointeLincoln ParkRomulusRoseville15.625000%15.625000%15.6%4,775111.527130%11.527130%11.5%5,36029.009773%9.009773%9.0%1,80737.886004%7.886004%7.9%4,61046.246786%6.246786%6.2%2,79456.169701%6.169701%6.2%3,13166.063908%6.063908%6.1%3,56275.719622%5.719622%5.7%2,26685.450926%5.450926%5.5%1,06894.740902%4.740902%4.7%2,827103.457689%3.457689%3.5%836113.360823%3.360823%3.4%974123.336158%3.336158%3.3%7,127,6737.13M3.140798%3.140798%3.1%1,721133.073485%3.073485%3.1%1,609142.946078%2.946078%2.9%1,697152.895695%2.895695%2.9%84,78984.8k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.848658%2.848658%2.8%1,976162.846054%2.846054%2.8%396172.809013%2.809013%2.8%187,723188k2.670172%2.670172%2.7%650182.509804%2.509804%2.5%384192.484268%2.484268%2.5%454202.429803%2.429803%2.4%482212.268878%2.268878%2.3%844222.159585%2.159585%2.2%462232.157923%2.157923%2.2%443242.106527%2.106527%2.1%386252.050040%2.050040%2.1%1,134261.832123%1.832123%1.8%227271.778523%1.778523%1.8%795281.716507%1.716507%1.7%318291.583146%1.583146%1.6%514301.556479%1.556479%1.6%307311.502921%1.502921%1.5%283321.477088%1.477088%1.5%762331.441957%1.441957%1.4%277341.439893%1.439893%1.4%1,339351.418560%1.418560%1.4%1,004361.357003%1.357003%1.4%292371.333214%1.333214%1.3%1,4891.318660%1.318660%1.3%5,693381.047058%1.047058%1.0%963391.039347%1.039347%1.0%196401.028088%1.028088%1.0%306411.011879%1.011879%1.0%231.011879%1.011879%1.0%230.987457%0.987457%1.0%370.905493%0.905493%0.9%334420.893882%0.893882%0.9%514430.810532%0.810532%0.8%173440.625121%0.625121%0.6%97450.541256%0.541256%0.5%225460.538931%0.538931%0.5%114470.521191%0.521191%0.5%129480.399388%0.399388%0.4%60490.372747%0.372747%0.4%12250
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 Berlin Township, selected other county subdivisions in the Detroit Area, and entities that contain the Berlin Township
Female
Male
2x1x0x1xFM#InksterSouthfieldRoyal OakZIP 48002BerlinAllen ParkTract 657200TaylorWhite LkPontiacRomulusDetroitRedfordEastpointeSt. ClairGarden CityHarrisonOak ParkSouthgateMichiganMidwestEast North CentralLivoniaUnited StatesWyandotteDetroit AreaPlymouthLincoln ParkChesterfieldWarrenPort HuronWestlandNoviWashingtonRosevilleBrownstownSt. Clair ShrsWaterfordClintonFarmington HlsMacombIndependenceW BloomfieldShelbyHamburgCantonMadison HtsSterling HtsOrionAuburn HillsTroyVan BurenCommerceDearborn HtsRochester HlsNorthvilleDearbornHamtramckBloomfield-1.000000x-1.000000x1.428480x1.428480x1.43x13.736%13.7%19.621%19.6%1-1.000000x-1.000000x1.391949x1.391949x1.39x6.236%6.24%8.680%8.68%2-1.000000x-1.000000x1.388405x1.388405x1.39x2.919%2.92%4.053%4.05%3-1.000000x-1.000000x1.367110x1.367110x1.37x7.853%7.85%10.736%10.7%-1.000000x-1.000000x1.367110x1.367110x1.37x7.853%7.85%10.736%10.7%-1.000000x-1.000000x1.337296x1.337296x1.34x6.496%6.50%8.686%8.69%4-1.000000x-1.000000x1.303001x1.303001x1.30x9.541%9.54%12.432%12.4%-1.000000x-1.000000x1.295390x1.295390x1.30x14.253%14.3%18.463%18.5%5-1.000000x-1.000000x1.271943x1.271943x1.27x6.310%6.31%8.026%8.03%6-1.000000x-1.000000x1.253903x1.253903x1.25x19.068%19.1%23.910%23.9%7-1.000000x-1.000000x1.247605x1.247605x1.25x10.905%10.9%13.605%13.6%8-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%9-1.000000x-1.000000x1.184593x1.184593x1.18x11.279%11.3%13.361%13.4%10-1.000000x-1.000000x1.183411x1.183411x1.18x12.050%12.0%14.260%14.3%11-1.000000x-1.000000x1.181842x1.181842x1.18x9.633%9.63%11.384%11.4%-1.000000x-1.000000x1.177415x1.177415x1.18x11.351%11.4%13.364%13.4%12-1.000000x-1.000000x1.175741x1.175741x1.18x6.987%6.99%8.215%8.22%13-1.000000x-1.000000x1.163743x1.163743x1.16x7.043%7.04%8.196%8.20%14-1.000000x-1.000000x1.148835x1.148835x1.15x10.401%10.4%11.949%11.9%15-1.000000x-1.000000x1.145031x1.145031x1.15x9.461%9.46%10.834%10.8%-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-1.000000x1.121317x1.121317x1.12x5.532%5.53%6.203%6.20%16-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.085912x1.085912x1.09x9.817%9.82%10.660%10.7%17-1.000000x-1.000000x1.080090x1.080090x1.08x10.493%10.5%11.334%11.3%-1.000000x-1.000000x1.053377x1.053377x1.05x3.250%3.25%3.423%3.42%18-1.000000x-1.000000x1.051489x1.051489x1.05x20.100%20.1%21.135%21.1%19-1.000000x-1.000000x1.040317x1.040317x1.04x8.101%8.10%8.428%8.43%20-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%21-1.000000x-1.000000x1.033633x1.033633x1.03x13.462%13.5%13.915%13.9%22-1.000000x-1.000000x1.031214x1.031214x1.03x12.069%12.1%12.446%12.4%23-1.000000x-1.000000x1.030995x1.030995x1.03x4.678%4.68%4.823%4.82%24-1.000000x-1.000000x1.028031x1.028031x1.03x6.894%6.89%7.087%7.09%25-1.000000x-1.000000x1.026036x1.026036x1.03x13.392%13.4%13.741%13.7%26-1.002803x-1.002803x1.00x1.000000x1.000000x9.936%9.94%9.908%9.91%27-1.003757x-1.003757x1.00x1.000000x1.000000x7.772%7.77%7.743%7.74%28-1.007679x-1.007679x1.01x1.000000x1.000000x8.290%8.29%8.227%8.23%29-1.023120x-1.023120x1.02x1.000000x1.000000x10.071%10.1%9.844%9.84%30-1.041464x-1.041464x1.04x1.000000x1.000000x5.022%5.02%4.822%4.82%31-1.046133x-1.046133x1.05x1.000000x1.000000x6.643%6.64%6.350%6.35%32-1.086976x-1.086976x1.09x1.000000x1.000000x5.794%5.79%5.331%5.33%33-1.093413x-1.093413x1.09x1.000000x1.000000x5.752%5.75%5.260%5.26%34-1.099867x-1.099867x1.10x1.000000x1.000000x9.115%9.12%8.288%8.29%35-1.110602x-1.110602x1.11x1.000000x1.000000x4.969%4.97%4.474%4.47%36-1.113435x-1.113435x1.11x1.000000x1.000000x5.541%5.54%4.976%4.98%37-1.114601x-1.114601x1.11x1.000000x1.000000x18.012%18.0%16.160%16.2%38-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%39-1.161568x-1.161568x1.16x1.000000x1.000000x4.832%4.83%4.160%4.16%40-1.161771x-1.161771x1.16x1.000000x1.000000x8.361%8.36%7.197%7.20%41-1.174151x-1.174151x1.17x1.000000x1.000000x6.616%6.62%5.635%5.63%42-1.213308x-1.213308x1.21x1.000000x1.000000x9.771%9.77%8.053%8.05%43-1.225630x-1.225630x1.23x1.000000x1.000000x6.192%6.19%5.052%5.05%44-1.277242x-1.277242x1.28x1.000000x1.000000x14.659%14.7%11.477%11.5%45-1.325323x-1.325323x1.33x1.000000x1.000000x4.641%4.64%3.502%3.50%46-1.328783x-1.328783x1.33x1.000000x1.000000x2.940%2.94%2.213%2.21%47-1.376263x-1.376263x1.38x1.000000x1.000000x22.724%22.7%16.511%16.5%48-1.523596x-1.523596x1.52x1.000000x1.000000x35.124%35.1%23.053%23.1%49-2.264209x-2.264209x2.26x1.000000x1.000000x3.256%3.26%1.438%1.44%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 Berlin Township, selected other county subdivisions in the Detroit Area, and entities that contain the Berlin Township
Female
Male
4x2x0x2x4xFM#Lincoln ParkWhite LkFarmington HlsOrionSt. Clair ShrsW BloomfieldDearborn HtsBrownstownBloomfieldRoyal OakPort HuronDearbornNorthvilleTroyClintonWarrenRochester HlsShelbyLivoniaHamtramckDetroit AreaMichiganOak ParkNoviGarden CityPlymouthEast North CentralMidwestChesterfieldSouthfieldPontiacCantonUnited StatesAllen ParkWaterfordSterling HtsWashingtonMadison HtsTaylorCommerceInksterHamburgWyandotteEastpointeSouthgateSt. ClairMacombDetroitRedfordRosevilleIndependenceWestlandAuburn HillsVan BurenTract 657200HarrisonZIP 48002BerlinRomulus-1.000000x-1.000000x5.521100x5.521100x5.52x0.167%0.17%0.923%0.92%1-1.000000x-1.000000x2.893222x2.893222x2.89x1.113%1.11%3.222%3.22%2-1.000000x-1.000000x2.639048x2.639048x2.64x3.464%3.46%9.142%9.14%3-1.000000x-1.000000x2.562875x2.562875x2.56x1.520%1.52%3.896%3.90%4-1.000000x-1.000000x2.362537x2.362537x2.36x1.078%1.08%2.547%2.55%5-1.000000x-1.000000x2.324757x2.324757x2.32x7.151%7.15%16.624%16.6%6-1.000000x-1.000000x2.323042x2.323042x2.32x1.379%1.38%3.204%3.20%7-1.000000x-1.000000x2.179359x2.179359x2.18x1.375%1.38%2.997%3.00%8-1.000000x-1.000000x2.161368x2.161368x2.16x10.151%10.2%21.941%21.9%9-1.000000x-1.000000x1.933545x1.933545x1.93x4.286%4.29%8.288%8.29%10-1.000000x-1.000000x1.897311x1.897311x1.90x1.014%1.01%1.923%1.92%11-1.000000x-1.000000x1.882766x1.882766x1.88x2.069%2.07%3.896%3.90%12-1.000000x-1.000000x1.835844x1.835844x1.84x6.465%6.46%11.869%11.9%13-1.000000x-1.000000x1.826261x1.826261x1.83x5.645%5.64%10.309%10.3%14-1.000000x-1.000000x1.813954x1.813954x1.81x1.036%1.04%1.879%1.88%15-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%16-1.000000x-1.000000x1.747290x1.747290x1.75x4.551%4.55%7.951%7.95%17-1.000000x-1.000000x1.717443x1.717443x1.72x2.333%2.33%4.008%4.01%18-1.000000x-1.000000x1.714080x1.714080x1.71x2.125%2.12%3.642%3.64%19-1.000000x-1.000000x1.683797x1.683797x1.68x1.363%1.36%2.296%2.30%20-1.000000x-1.000000x1.669274x1.669274x1.67x2.198%2.20%3.670%3.67%-1.000000x-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%-1.000000x-1.000000x1.645214x1.645214x1.65x1.904%1.90%3.132%3.13%21-1.000000x-1.000000x1.639443x1.639443x1.64x4.378%4.38%7.177%7.18%22-1.000000x-1.000000x1.618608x1.618608x1.62x0.798%0.80%1.292%1.29%23-1.000000x-1.000000x1.610197x1.610197x1.61x4.219%4.22%6.793%6.79%24-1.000000x-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-1.000000x1.589396x1.589396x1.59x0.805%0.81%1.280%1.28%25-1.000000x-1.000000x1.580903x1.580903x1.58x2.468%2.47%3.901%3.90%26-1.000000x-1.000000x1.542958x1.542958x1.54x0.719%0.72%1.110%1.11%27-1.000000x-1.000000x1.531432x1.531432x1.53x3.775%3.77%5.781%5.78%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.523467x1.523467x1.52x1.245%1.24%1.896%1.90%29-1.000000x-1.000000x1.483904x1.483904x1.48x1.195%1.20%1.774%1.77%30-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%31-1.000000x-1.000000x1.423846x1.423846x1.42x2.061%2.06%2.934%2.93%32-1.000000x-1.000000x1.404155x1.404155x1.40x1.139%1.14%1.599%1.60%33-1.000000x-1.000000x1.368458x1.368458x1.37x0.462%0.46%0.633%0.63%34-1.000000x-1.000000x1.296174x1.296174x1.30x2.938%2.94%3.808%3.81%35-1.000000x-1.000000x1.270125x1.270125x1.27x0.555%0.56%0.705%0.71%36-1.000000x-1.000000x1.244712x1.244712x1.24x2.240%2.24%2.788%2.79%37-1.000000x-1.000000x1.233042x1.233042x1.23x1.545%1.55%1.905%1.91%38-1.000000x-1.000000x1.193424x1.193424x1.19x0.496%0.50%0.592%0.59%39-1.000000x-1.000000x1.105447x1.105447x1.11x0.772%0.77%0.854%0.85%40-1.000000x-1.000000x1.086815x1.086815x1.09x1.279%1.28%1.390%1.39%-1.000000x-1.000000x1.073659x1.073659x1.07x1.979%1.98%2.125%2.13%41-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%42-1.000000x-1.000000x1.023679x1.023679x1.02x1.566%1.57%1.603%1.60%43-1.000000x-1.000000x1.015333x1.015333x1.02x0.370%0.37%0.376%0.38%44-1.020160x-1.020160x1.02x1.000000x1.000000x3.491%3.49%3.422%3.42%45-1.031914x-1.031914x1.03x1.000000x1.000000x0.907%0.91%0.879%0.88%46-1.118617x-1.118617x1.12x1.000000x1.000000x2.998%3.00%2.680%2.68%47-1.133615x-1.133615x1.13x1.000000x1.000000x1.592%1.59%1.404%1.40%48-1.279982x-1.279982x1.28x1.000000x1.000000x1.107%1.11%0.865%0.86%-1.337151x-1.337151x1.34x1.000000x1.000000x2.395%2.40%1.791%1.79%49-1.529765x-1.529765x1.53x1.000000x1.000000x1.222%1.22%0.799%0.80%-1.529765x-1.529765x1.53x1.000000x1.000000x1.222%1.22%0.799%0.80%-4.350803x-4.350803x4.35x1.000000x1.000000x0.622%0.62%0.143%0.14%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 Michigan

There are 1,578 county subdivisions in Michigan. This section compares the Berlin Township to the 50 most populous county subdivisions in Michigan and to those entities that contain or substantially overlap with the Berlin Township. The least populous of the compared county subdivisions has a population of 36,008.

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 Berlin Township, selected other county subdivisions in Michigan, and entities that contain the Berlin Township
0%5%10%15%20%Count#PontiacDetroitLincoln ParkSaginawDearbornMuskegonFlintHolland Charter TownshipHollandTaylorWyomingWarrenGrand RapidsRosevilleSterling HeightsSterling HtsDearborn HeightsDearborn HtsUnited States of AmericaUnited StatesRedford Charter TownshipRedfordWestlandLansingKentwood657200Tract 657200Detroit, Warren, and Dearborn Metro AreaDetroit AreaEast North CentralSt. Clair CountySt. ClairMidwestMichiganBattle CreekClinton Charter TownshipClintonKalamazooZIP Code 48002ZIP 48002Berlin TownshipBerlinYpsilanti Charter TownshipYpsilantiShelby Charter TownshipShelbyWaterford Charter TownshipWaterfordChesterfield TownshipChesterfieldSt. Clair ShoresSt. Clair ShrsPittsfield Charter TownshipPittsfieldSouthfieldMacomb TownshipMacombTroyLivoniaSaginaw Charter TownshipSaginawCommerce Charter TownshipCommerceIndependence Charter TownshipIndependenceWest Bloomfield Charter TownshipW BloomfieldCanton Charter TownshipCantonFarmington HillsFarmington HlsNoviOrion Charter TownshipOrionMidlandGeorgetown Charter TownshipGeorgetownPortageRochester HillsRochester HlsMeridian Charter TownshipMeridianGrand Blanc Charter TownshipGrand BlancRoyal OakAnn ArborEast LansingBloomfield Charter TownshipBloomfield21.373963%21.373963%21.4%7,884121.003600%21.003600%21.0%90,67890.7k220.585027%20.585027%20.6%5,095320.438096%20.438096%20.4%6,410419.742370%19.742370%19.7%11,37211.4k516.999519%16.999519%17.0%4,239616.821517%16.821517%16.8%10,50110.5k716.250968%16.250968%16.3%3,779816.206399%16.206399%16.2%6,737915.751143%15.751143%15.8%7,6131015.286174%15.286174%15.3%14,05914.1k1114.563179%14.563179%14.6%17,64317.6k1213.556370%13.556370%13.6%4,4371313.132171%13.132171%13.1%12,21212.2k1413.107879%13.107879%13.1%4,8761513.020590%13.020590%13.0%27,818,38027.8M12.255521%12.255521%12.3%3,9791612.241313%12.241313%12.2%7,0391711.526042%11.526042%11.5%8,0311811.382139%11.382139%11.4%3,7471910.968775%10.968775%11.0%41110.891515%10.891515%10.9%318,915319k10.719464%10.719464%10.7%3,363,7843.36M10.485741%10.485741%10.5%11,71111.7k10.244520%10.244520%10.2%4,641,8354.64M10.122386%10.122386%10.1%676,467676k10.019495%10.019495%10.0%3,392209.968068%9.968068%10.0%7,055219.488289%9.488289%9.5%3,727229.282886%9.282886%9.3%2119.282886%9.282886%9.3%2119.094276%9.094276%9.1%3,192238.716124%8.716124%8.7%4,776248.259673%8.259673%8.3%4,261258.254939%8.254939%8.3%2,457267.758389%7.758389%7.8%3,468277.601345%7.601345%7.6%1,877287.268247%7.268247%7.3%3,805296.500832%6.500832%6.5%3,596306.144582%6.144582%6.1%3,592315.851570%5.851570%5.9%4,059325.773964%5.773964%5.8%1,642335.638177%5.638177%5.6%1,634345.571180%5.571180%5.6%1,347355.524850%5.524850%5.5%2,569365.269160%5.269160%5.3%3,142374.930117%4.930117%4.9%2,896384.747842%4.747842%4.7%1,881394.506429%4.506429%4.5%1,097404.447612%4.447612%4.4%1,248414.387968%4.387968%4.4%1,345424.107662%4.107662%4.1%1,314434.098684%4.098684%4.1%2,080443.885214%3.885214%3.9%1,075453.548059%3.548059%3.5%873463.474411%3.474411%3.5%1,554473.157717%3.157717%3.2%2,057483.051958%3.051958%3.1%410492.411649%2.411649%2.4%73750
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 Berlin Township, selected other county subdivisions in Michigan, and entities that contain the Berlin Township
0%20%40%60%Count#Ann ArborEast LansingBloomfield Charter TownshipBloomfieldMeridian Charter TownshipMeridianNoviTroyWest Bloomfield Charter TownshipW BloomfieldRochester HillsRochester HlsPittsfield Charter TownshipPittsfieldRoyal OakFarmington HillsFarmington HlsCanton Charter TownshipCantonCommerce Charter TownshipCommerceOrion Charter TownshipOrionMidlandPortageIndependence Charter TownshipIndependenceGrand Blanc Charter TownshipGrand BlancSouthfieldLivoniaGeorgetown Charter TownshipGeorgetownSaginaw Charter TownshipSaginawMacomb TownshipMacombKalamazooShelby Charter TownshipShelbyGrand RapidsKentwoodUnited States of AmericaUnited StatesYpsilanti Charter TownshipYpsilantiDetroit, Warren, and Dearborn Metro AreaDetroit AreaMidwestDearbornEast North CentralSterling HeightsSterling HtsMichiganWaterford Charter TownshipWaterfordLansingSt. Clair ShoresSt. Clair ShrsHolland Charter TownshipHollandChesterfield TownshipChesterfieldClinton Charter TownshipClintonBattle CreekWyomingDearborn HeightsDearborn HtsRedford Charter TownshipRedfordWestlandSt. Clair CountySt. ClairZIP Code 48002ZIP 48002Berlin TownshipBerlinWarren657200Tract 657200DetroitPontiacRosevilleMuskegonSaginawFlintTaylorLincoln Park72.810169%72.810169%72.8%47,43047.4k172.271848%72.271848%72.3%9,709271.384162%71.384162%71.4%21,81521.8k365.119809%65.119809%65.1%18,01818.0k458.268969%58.268969%58.3%23,08523.1k557.983510%57.983510%58.0%33,89633.9k657.534571%57.534571%57.5%26,75326.8k755.316466%55.316466%55.3%28,07228.1k855.108735%55.108735%55.1%13,60813.6k954.354193%54.354193%54.4%24,31124.3k1053.361366%53.361366%53.4%31,34531.3k1148.829448%48.829448%48.8%29,11729.1k1243.393948%43.393948%43.4%12,57612.6k1343.141766%43.141766%43.1%10,50210.5k1443.025659%43.025659%43.0%12,07312.1k1542.148864%42.148864%42.1%13,48313.5k1641.790057%41.790057%41.8%10,10410.1k1738.386507%38.386507%38.4%9,4451836.811140%36.811140%36.8%19,27119.3k1936.281464%36.281464%36.3%25,16725.2k2035.217930%35.217930%35.2%10,79510.8k2134.939166%34.939166%34.9%9,9362233.934124%33.934124%33.9%18,77118.8k2333.431772%33.431772%33.4%13,13213.1k2433.169085%33.169085%33.2%18,17518.2k2532.904381%32.904381%32.9%39,86339.9k2631.594775%31.594775%31.6%10,40110.4k2730.315023%30.315023%30.3%64,767,78764.8M29.989458%29.989458%30.0%10,52610.5k2829.536919%29.536919%29.5%864,872865k28.952816%28.952816%29.0%13,118,64213.1M28.929551%28.929551%28.9%16,66416.7k2928.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3027.410304%27.410304%27.4%1,831,7981.83M26.713577%26.713577%26.7%13,78113.8k3125.691405%25.691405%25.7%17,90117.9k3224.402685%24.402685%24.4%10,90810.9k3323.974370%23.974370%24.0%5,5753423.061416%23.061416%23.1%6,8643521.521420%21.521420%21.5%15,23215.2k3621.155550%21.155550%21.2%7,1623720.456003%20.456003%20.5%9,8873820.398398%20.398398%20.4%7,5883919.274956%19.274956%19.3%6,2584018.863692%18.863692%18.9%10,84710.8k4117.590545%17.590545%17.6%19,64619.6k17.377915%17.377915%17.4%39517.377915%17.377915%17.4%39517.280259%17.280259%17.3%15,89315.9k4214.251401%14.251401%14.3%53413.833543%13.833543%13.8%59,72359.7k4312.050643%12.050643%12.1%4,4454411.655973%11.655973%11.7%3,8154511.649824%11.649824%11.6%2,9054611.354143%11.354143%11.4%3,5614711.202063%11.202063%11.2%6,9934810.380082%10.380082%10.4%4,315498.601673%8.601673%8.6%2,12950
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 Berlin Township, selected other county subdivisions in Michigan, and entities that contain the Berlin Township
0%5%10%15%Count#East LansingAnn ArborMeridian Charter TownshipMeridianBloomfield Charter TownshipBloomfieldWest Bloomfield Charter TownshipW BloomfieldPittsfield Charter TownshipPittsfieldTroyRoyal OakRochester HillsRochester HlsFarmington HillsFarmington HlsMidlandNoviCanton Charter TownshipCantonKalamazooGrand Blanc Charter TownshipGrand BlancSaginaw Charter TownshipSaginawPortageIndependence Charter TownshipIndependenceCommerce Charter TownshipCommerceUnited States of AmericaUnited StatesGrand RapidsShelby Charter TownshipShelbyYpsilanti Charter TownshipYpsilantiSouthfieldDearbornDetroit, Warren, and Dearborn Metro AreaDetroit AreaMidwestEast North CentralLivoniaLansingMichiganOrion Charter TownshipOrionKentwoodDearborn HeightsDearborn HtsHolland Charter TownshipHollandGeorgetown Charter TownshipGeorgetownMacomb TownshipMacombSt. Clair ShoresSt. Clair ShrsRedford Charter TownshipRedfordBattle CreekWaterford Charter TownshipWaterfordSterling HeightsSterling HtsClinton Charter TownshipClintonSt. Clair CountySt. ClairDetroitSaginawWyomingWarrenChesterfield TownshipChesterfieldZIP Code 48002ZIP 48002Berlin TownshipBerlin657200Tract 657200FlintPontiacWestlandTaylorLincoln ParkMuskegonRoseville19.837725%19.837725%19.8%2,665117.877867%17.877867%17.9%11,64611.6k215.801077%15.801077%15.8%4,372315.625000%15.625000%15.6%4,775411.527130%11.527130%11.5%5,360510.176973%10.176973%10.2%2,51367.886004%7.886004%7.9%4,61076.246786%6.246786%6.2%2,79486.169701%6.169701%6.2%3,13196.063908%6.063908%6.1%3,562105.755524%5.755524%5.8%1,615115.719622%5.719622%5.7%2,266124.740902%4.740902%4.7%2,827134.274440%4.274440%4.3%1,679144.271490%4.271490%4.3%1,051154.086082%4.086082%4.1%1,162163.695020%3.695020%3.7%1,182173.457689%3.457689%3.5%836183.360823%3.360823%3.4%974193.336158%3.336158%3.3%7,127,6737.13M3.174629%3.174629%3.2%3,846203.140798%3.140798%3.1%1,721213.077011%3.077011%3.1%1,080223.073485%3.073485%3.1%1,609232.946078%2.946078%2.9%1,697242.895695%2.895695%2.9%84,78984.8k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.848658%2.848658%2.8%1,976252.817285%2.817285%2.8%1,963262.809013%2.809013%2.8%187,723188k2.670172%2.670172%2.7%650272.545565%2.545565%2.5%838282.268878%2.268878%2.3%844292.150168%2.150168%2.2%500302.094480%2.094480%2.1%642312.050040%2.050040%2.1%1,134321.778523%1.778523%1.8%795331.583146%1.583146%1.6%514341.488746%1.488746%1.5%504351.477088%1.477088%1.5%762361.439893%1.439893%1.4%1,339371.418560%1.418560%1.4%1,004381.333214%1.333214%1.3%1,4891.318660%1.318660%1.3%5,693391.195676%1.195676%1.2%375401.094490%1.094490%1.1%529411.047058%1.047058%1.0%963421.028088%1.028088%1.0%306431.011879%1.011879%1.0%231.011879%1.011879%1.0%230.987457%0.987457%1.0%370.978759%0.978759%1.0%611440.905493%0.905493%0.9%334450.893882%0.893882%0.9%514460.541256%0.541256%0.5%225470.521191%0.521191%0.5%129480.380975%0.380975%0.4%95490.372747%0.372747%0.4%12250
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 Berlin Township, selected other county subdivisions in Michigan, and entities that contain the Berlin Township
Female
Male
2x1x0x1xFM#YpsilantiSouthfieldRoyal OakZIP 48002BerlinPortageTract 657200TaylorMidlandMuskegonPontiacDetroitKentwoodRedfordSt. ClairKalamazooEast LansingMichiganMidwestEast North CentralLivoniaFlintUnited StatesLansingDetroit AreaGrand RapidsBattle CreekGrand BlancLincoln ParkWyomingChesterfieldWarrenWestlandNoviRosevilleSaginawMeridianSt. Clair ShrsWaterfordHollandClintonAnn ArborFarmington HlsMacombGeorgetownIndependenceW BloomfieldShelbyCantonSterling HtsPittsfieldOrionTroySaginawCommerceDearborn HtsRochester HlsDearbornBloomfield-1.000000x-1.000000x1.403216x1.403216x1.40x7.646%7.65%10.729%10.7%1-1.000000x-1.000000x1.391949x1.391949x1.39x6.236%6.24%8.680%8.68%2-1.000000x-1.000000x1.388405x1.388405x1.39x2.919%2.92%4.053%4.05%3-1.000000x-1.000000x1.367110x1.367110x1.37x7.853%7.85%10.736%10.7%-1.000000x-1.000000x1.367110x1.367110x1.37x7.853%7.85%10.736%10.7%-1.000000x-1.000000x1.318565x1.318565x1.32x3.571%3.57%4.709%4.71%4-1.000000x-1.000000x1.303001x1.303001x1.30x9.541%9.54%12.432%12.4%-1.000000x-1.000000x1.295390x1.295390x1.30x14.253%14.3%18.463%18.5%5-1.000000x-1.000000x1.286068x1.286068x1.29x3.926%3.93%5.049%5.05%6-1.000000x-1.000000x1.277437x1.277437x1.28x14.852%14.9%18.972%19.0%7-1.000000x-1.000000x1.253903x1.253903x1.25x19.068%19.1%23.910%23.9%8-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%9-1.000000x-1.000000x1.222098x1.222098x1.22x10.315%10.3%12.606%12.6%10-1.000000x-1.000000x1.184593x1.184593x1.18x11.279%11.3%13.361%13.4%11-1.000000x-1.000000x1.181842x1.181842x1.18x9.633%9.63%11.384%11.4%-1.000000x-1.000000x1.177089x1.177089x1.18x8.752%8.75%10.302%10.3%12-1.000000x-1.000000x1.159697x1.159697x1.16x2.835%2.83%3.287%3.29%13-1.000000x-1.000000x1.145031x1.145031x1.15x9.461%9.46%10.834%10.8%-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-1.000000x1.121317x1.121317x1.12x5.532%5.53%6.203%6.20%14-1.000000x-1.000000x1.112012x1.112012x1.11x15.982%16.0%17.772%17.8%15-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.096620x1.096620x1.10x11.022%11.0%12.087%12.1%16-1.000000x-1.000000x1.080090x1.080090x1.08x10.493%10.5%11.334%11.3%-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%17-1.000000x-1.000000x1.067968x1.067968x1.07x9.707%9.71%10.367%10.4%18-1.000000x-1.000000x1.064145x1.064145x1.06x3.443%3.44%3.664%3.66%19-1.000000x-1.000000x1.051489x1.051489x1.05x20.100%20.1%21.135%21.1%20-1.000000x-1.000000x1.051095x1.051095x1.05x15.368%15.4%16.153%16.2%21-1.000000x-1.000000x1.040317x1.040317x1.04x8.101%8.10%8.428%8.43%22-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%23-1.000000x-1.000000x1.031214x1.031214x1.03x12.069%12.1%12.446%12.4%24-1.000000x-1.000000x1.030995x1.030995x1.03x4.678%4.68%4.823%4.82%25-1.000000x-1.000000x1.026036x1.026036x1.03x13.392%13.4%13.741%13.7%26-1.000000x-1.000000x1.003192x1.003192x1.00x20.408%20.4%20.473%20.5%27-1.000000x-1.000000x1.002886x1.002886x1.00x3.880%3.88%3.891%3.89%28-1.003757x-1.003757x1.00x1.000000x1.000000x7.772%7.77%7.743%7.74%29-1.007679x-1.007679x1.01x1.000000x1.000000x8.290%8.29%8.227%8.23%30-1.018662x-1.018662x1.02x1.000000x1.000000x16.399%16.4%16.098%16.1%31-1.023120x-1.023120x1.02x1.000000x1.000000x10.071%10.1%9.844%9.84%32-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%33-1.041464x-1.041464x1.04x1.000000x1.000000x5.022%5.02%4.822%4.82%34-1.046133x-1.046133x1.05x1.000000x1.000000x6.643%6.64%6.350%6.35%35-1.062557x-1.062557x1.06x1.000000x1.000000x4.516%4.52%4.250%4.25%36-1.086976x-1.086976x1.09x1.000000x1.000000x5.794%5.79%5.331%5.33%37-1.093413x-1.093413x1.09x1.000000x1.000000x5.752%5.75%5.260%5.26%38-1.099867x-1.099867x1.10x1.000000x1.000000x9.115%9.12%8.288%8.29%39-1.113435x-1.113435x1.11x1.000000x1.000000x5.541%5.54%4.976%4.98%40-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%41-1.145999x-1.145999x1.15x1.000000x1.000000x8.082%8.08%7.052%7.05%42-1.161568x-1.161568x1.16x1.000000x1.000000x4.832%4.83%4.160%4.16%43-1.174151x-1.174151x1.17x1.000000x1.000000x6.616%6.62%5.635%5.63%44-1.175239x-1.175239x1.18x1.000000x1.000000x6.194%6.19%5.270%5.27%45-1.225630x-1.225630x1.23x1.000000x1.000000x6.192%6.19%5.052%5.05%46-1.277242x-1.277242x1.28x1.000000x1.000000x14.659%14.7%11.477%11.5%47-1.325323x-1.325323x1.33x1.000000x1.000000x4.641%4.64%3.502%3.50%48-1.376263x-1.376263x1.38x1.000000x1.000000x22.724%22.7%16.511%16.5%49-2.264209x-2.264209x2.26x1.000000x1.000000x3.256%3.26%1.438%1.44%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 Berlin Township, selected other county subdivisions in Michigan, and entities that contain the Berlin Township
Female
Male
0x2x4xFM#Lincoln ParkMidlandFarmington HlsOrionSt. Clair ShrsW BloomfieldDearborn HtsMuskegonGrand BlancBloomfieldWyomingKentwoodRoyal OakDearbornHollandTroySaginawClintonPortageWarrenRochester HlsShelbyLivoniaMeridianGrand RapidsDetroit AreaMichiganNoviPittsfieldEast North CentralMidwestChesterfieldSouthfieldSaginawPontiacCantonUnited StatesAnn ArborYpsilantiWaterfordSterling HtsKalamazooEast LansingTaylorLansingCommerceGeorgetownBattle CreekSt. ClairMacombDetroitRedfordRosevilleIndependenceWestlandFlintTract 657200ZIP 48002Berlin-1.000000x-1.000000x5.521100x5.521100x5.52x0.167%0.17%0.923%0.92%1-1.000000x-1.000000x2.784166x2.784166x2.78x3.147%3.15%8.763%8.76%2-1.000000x-1.000000x2.639048x2.639048x2.64x3.464%3.46%9.142%9.14%3-1.000000x-1.000000x2.562875x2.562875x2.56x1.520%1.52%3.896%3.90%4-1.000000x-1.000000x2.362537x2.362537x2.36x1.078%1.08%2.547%2.55%5-1.000000x-1.000000x2.324757x2.324757x2.32x7.151%7.15%16.624%16.6%6-1.000000x-1.000000x2.323042x2.323042x2.32x1.379%1.38%3.204%3.20%7-1.000000x-1.000000x2.313131x2.313131x2.31x0.226%0.23%0.523%0.52%8-1.000000x-1.000000x2.215985x2.215985x2.22x2.708%2.71%6.001%6.00%9-1.000000x-1.000000x2.161368x2.161368x2.16x10.151%10.2%21.941%21.9%10-1.000000x-1.000000x2.124541x2.124541x2.12x0.707%0.71%1.502%1.50%11-1.000000x-1.000000x1.963400x1.963400x1.96x1.757%1.76%3.450%3.45%12-1.000000x-1.000000x1.933545x1.933545x1.93x4.286%4.29%8.288%8.29%13-1.000000x-1.000000x1.882766x1.882766x1.88x2.069%2.07%3.896%3.90%14-1.000000x-1.000000x1.837161x1.837161x1.84x1.523%1.52%2.798%2.80%15-1.000000x-1.000000x1.826261x1.826261x1.83x5.645%5.64%10.309%10.3%16-1.000000x-1.000000x1.819307x1.819307x1.82x2.978%2.98%5.417%5.42%17-1.000000x-1.000000x1.813954x1.813954x1.81x1.036%1.04%1.879%1.88%18-1.000000x-1.000000x1.785878x1.785878x1.79x2.696%2.70%4.815%4.82%19-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%20-1.000000x-1.000000x1.747290x1.747290x1.75x4.551%4.55%7.951%7.95%21-1.000000x-1.000000x1.717443x1.717443x1.72x2.333%2.33%4.008%4.01%22-1.000000x-1.000000x1.714080x1.714080x1.71x2.125%2.12%3.642%3.64%23-1.000000x-1.000000x1.701702x1.701702x1.70x11.929%11.9%20.300%20.3%24-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%25-1.000000x-1.000000x1.669274x1.669274x1.67x2.198%2.20%3.670%3.67%-1.000000x-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%-1.000000x-1.000000x1.639443x1.639443x1.64x4.378%4.38%7.177%7.18%26-1.000000x-1.000000x1.636169x1.636169x1.64x7.847%7.85%12.838%12.8%27-1.000000x-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-1.000000x1.589396x1.589396x1.59x0.805%0.81%1.280%1.28%28-1.000000x-1.000000x1.580903x1.580903x1.58x2.468%2.47%3.901%3.90%29-1.000000x-1.000000x1.563962x1.563962x1.56x0.950%0.95%1.485%1.49%30-1.000000x-1.000000x1.542958x1.542958x1.54x0.719%0.72%1.110%1.11%31-1.000000x-1.000000x1.531432x1.531432x1.53x3.775%3.77%5.781%5.78%32-1.000000x-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%33-1.000000x-1.000000x1.521373x1.521373x1.52x2.472%2.47%3.760%3.76%34-1.000000x-1.000000x1.483904x1.483904x1.48x1.195%1.20%1.774%1.77%35-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%36-1.000000x-1.000000x1.467226x1.467226x1.47x3.498%3.50%5.132%5.13%37-1.000000x-1.000000x1.369306x1.369306x1.37x16.850%16.9%23.073%23.1%38-1.000000x-1.000000x1.368458x1.368458x1.37x0.462%0.46%0.633%0.63%39-1.000000x-1.000000x1.313093x1.313093x1.31x2.454%2.45%3.222%3.22%40-1.000000x-1.000000x1.296174x1.296174x1.30x2.938%2.94%3.808%3.81%41-1.000000x-1.000000x1.291392x1.291392x1.29x1.838%1.84%2.373%2.37%42-1.000000x-1.000000x1.168645x1.168645x1.17x1.379%1.38%1.611%1.61%43-1.000000x-1.000000x1.086815x1.086815x1.09x1.279%1.28%1.390%1.39%-1.000000x-1.000000x1.073659x1.073659x1.07x1.979%1.98%2.125%2.13%44-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%45-1.000000x-1.000000x1.023679x1.023679x1.02x1.566%1.57%1.603%1.60%46-1.000000x-1.000000x1.015333x1.015333x1.02x0.370%0.37%0.376%0.38%47-1.020160x-1.020160x1.02x1.000000x1.000000x3.491%3.49%3.422%3.42%48-1.031914x-1.031914x1.03x1.000000x1.000000x0.907%0.91%0.879%0.88%49-1.116231x-1.116231x1.12x1.000000x1.000000x1.029%1.03%0.922%0.92%50-1.279982x-1.279982x1.28x1.000000x1.000000x1.107%1.11%0.865%0.86%-1.529765x-1.529765x1.53x1.000000x1.000000x1.222%1.22%0.799%0.80%-1.529765x-1.529765x1.53x1.000000x1.000000x1.222%1.22%0.799%0.80%
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 Berlin Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Berlin Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Berlin Township, selected other county subdivisions in the Midwest, and entities that contain the Berlin Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopeka657200Tract 657200MinneapolisDetroit, Warren, and Dearborn Metro AreaDetroit AreaSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthSt. Clair CountySt. ClairMidwestLawrence TownshipLawrenceMichiganSioux FallsZIP Code 48002ZIP 48002Berlin TownshipBerlinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%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%9,3772910.968775%10.968775%11.0%41110.958428%10.958428%11.0%29,34729.3k3010.891515%10.891515%10.9%318,915319k10.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.485741%10.485741%10.5%11,71111.7k10.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,1613310.122386%10.122386%10.1%676,467676k9.702326%9.702326%9.7%9,123349.282886%9.282886%9.3%2119.282886%9.282886%9.3%2118.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Berlin Township, selected other county subdivisions in the Midwest, and entities that contain the Berlin Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsDetroit, Warren, and Dearborn Metro AreaDetroit AreaMidwestWichitaEast North CentralSterling HeightsSterling HtsMichiganTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonSt. Clair CountySt. ClairZIP Code 48002ZIP 48002Berlin TownshipBerlinWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue Township657200Tract 657200Detroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2929.536919%29.536919%29.5%864,872865k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.410304%27.410304%27.4%1,831,7981.83M27.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.590545%17.590545%17.6%19,64619.6k17.377915%17.377915%17.4%39517.377915%17.377915%17.4%39517.280259%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%16,95117.0k4914.251401%14.251401%14.3%53413.833543%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 Berlin Township, selected other county subdivisions in the Midwest, and entities that contain the Berlin Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsDetroit, Warren, and Dearborn Metro AreaDetroit AreaMidwestEast North CentralSioux FallsOlatheMichiganCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CitySt. Clair CountySt. ClairDetroitDaytonWayne TownshipWayneWarrenZIP Code 48002ZIP 48002Berlin TownshipBerlinBlue Township657200Tract 657200Aurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.895695%2.895695%2.9%84,78984.8k2.893416%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%2,349292.809013%2.809013%2.8%187,723188k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.333214%1.333214%1.3%1,4891.318660%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%963471.011879%1.011879%1.0%231.011879%1.011879%1.0%230.997751%0.997751%1.0%1,069480.987457%0.987457%1.0%370.936111%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 Berlin Township, selected other county subdivisions in the Midwest, and entities that contain the Berlin Township
Female
Male
1x0x1xFM#ZIP 48002BerlinTract 657200Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceSt. ClairFargoProvisoRockfordBlue TownshipMichiganWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraDetroit AreaWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.367110x1.367110x1.37x7.853%7.85%10.736%10.7%-1.000000x-1.000000x1.367110x1.367110x1.37x7.853%7.85%10.736%10.7%-1.000000x-1.000000x1.303001x1.303001x1.30x9.541%9.54%12.432%12.4%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.181842x1.181842x1.18x9.633%9.63%11.384%11.4%-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-1.000000x1.145031x1.145031x1.15x9.461%9.46%10.834%10.8%-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-1.000000x1.080090x1.080090x1.08x10.493%10.5%11.334%11.3%-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 Berlin Township, selected other county subdivisions in the Midwest, and entities that contain the Berlin Township
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaDetroit AreaMichiganFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisSt. ClairWorthDetroitProvisoTract 657200ZIP 48002BerlinThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.669274x1.669274x1.67x2.198%2.20%3.670%3.67%-1.000000x-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%-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-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.086815x1.086815x1.09x1.279%1.28%1.390%1.39%-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%49-1.279982x-1.279982x1.28x1.000000x1.000000x1.107%1.11%0.865%0.86%-1.529765x-1.529765x1.53x1.000000x1.000000x1.222%1.22%0.799%0.80%-1.529765x-1.529765x1.53x1.000000x1.000000x1.222%1.22%0.799%0.80%-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 Berlin Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Berlin Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Berlin Township, selected other county subdivisions in the United States, and entities that contain the Berlin Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsa657200Tract 657200Detroit, Warren, and Dearborn Metro AreaDetroit AreaEast North CentralSt. Clair CountySt. ClairSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisMichiganWashingtonAtlantaZIP Code 48002ZIP 48002Berlin TownshipBerlinSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%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%43,65343.7k4110.968775%10.968775%11.0%41110.891515%10.891515%10.9%318,915319k10.719464%10.719464%10.7%3,363,7843.36M10.485741%10.485741%10.5%11,71111.7k10.435356%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%47,67947.7k4410.122386%10.122386%10.1%676,467676k10.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.282886%9.282886%9.3%2119.282886%9.282886%9.3%2118.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Berlin Township, selected other county subdivisions in the United States, and entities that contain the Berlin Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreDetroit, Warren, and Dearborn Metro AreaDetroit AreaLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoMichiganEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSt. Clair CountySt. ClairZIP Code 48002ZIP 48002Berlin TownshipBerlinSan BernardinoSan Antonio CentralSan Antonio Cntrl657200Tract 657200Detroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.536919%29.536919%29.5%864,872865k29.113198%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%312,038312k3528.231204%28.231204%28.2%209,283209k3627.410304%27.410304%27.4%1,831,7981.83M27.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4717.590545%17.590545%17.6%19,64619.6k17.377915%17.377915%17.4%39517.377915%17.377915%17.4%39516.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4914.251401%14.251401%14.3%53413.833543%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 Berlin Township, selected other county subdivisions in the United States, and entities that contain the Berlin Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodDetroit, Warren, and Dearborn Metro AreaDetroit AreaMidwestOrlandoEast North CentralFresnoMichiganAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxSt. Clair CountySt. ClairDetroitZIP Code 48002ZIP 48002Berlin TownshipBerlin657200Tract 65720012.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.895695%2.895695%2.9%84,78984.8k2.893416%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%11,83311.8k352.809013%2.809013%2.8%187,723188k2.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.333214%1.333214%1.3%1,4891.318660%1.318660%1.3%5,693501.011879%1.011879%1.0%231.011879%1.011879%1.0%230.987457%0.987457%1.0%37
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 Berlin Township, selected other county subdivisions in the United States, and entities that contain the Berlin Township
Female
Male
1x0x1xFM#ZIP 48002BerlinTract 6572001, CharlotteDetroitSt. ClairBaltimoreTulsaSW DallasMichiganMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoDetroit AreaAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.367110x1.367110x1.37x7.853%7.85%10.736%10.7%-1.000000x-1.000000x1.367110x1.367110x1.37x7.853%7.85%10.736%10.7%-1.000000x-1.000000x1.303001x1.303001x1.30x9.541%9.54%12.432%12.4%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.181842x1.181842x1.18x9.633%9.63%11.384%11.4%-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-1.000000x1.145031x1.145031x1.15x9.461%9.46%10.834%10.8%-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-1.000000x1.080090x1.080090x1.08x10.493%10.5%11.334%11.3%-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 Berlin Township, selected other county subdivisions in the United States, and entities that contain the Berlin Township
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthDetroit AreaOrlandoPhoenixMichiganTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoSt. ClairDetroitTract 657200ZIP 48002Berlin-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.669274x1.669274x1.67x2.198%2.20%3.670%3.67%-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-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%-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-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.086815x1.086815x1.09x1.279%1.28%1.390%1.39%-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-1.279982x-1.279982x1.28x1.000000x1.000000x1.107%1.11%0.865%0.86%-1.529765x-1.529765x1.53x1.000000x1.000000x1.222%1.22%0.799%0.80%-1.529765x-1.529765x1.53x1.000000x1.000000x1.222%1.22%0.799%0.80%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Michigan
County:
St. Clair
Metro Area:
Detroit Area
ZIP Code:
48002
Unified School Districts:
Almont, Armada, Capac
Congressional District:
MI-10
State Senate District:
MI-25
State House District:
MI-81
Neighboring Townships:
Almont, Armada, Bruce, Emmett, Imlay, Mussey, Richmond, Riley
Nearby Townships:
Columbus, Dryden, Lynn, Ray, Wales