Educational Attainment in New Berlin, Waukesha County, Wisconsin (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Waukesha County and New Berlin
New Berlin
Waukesha County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma251.220572%51.250231%51.220572%51.2%15,31715.3k44.542536%44.633619%44.542536%44.5%13,32013.3k4.236891%4.116150%4.236891%4.2%1,267
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 Waukesha County at large.
Scope: population of Waukesha County and New Berlin
-2%0%+2%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-0.057870%-0.057870%-0.1%51.221%51.2%51.250%51.3%-0.204068%-0.204068%-0.2%44.543%44.5%44.634%44.6%2.933357%2.933357%+2.9%4.237%4.24%4.116%4.12%
% percentage with given level in New Berlin
ref. percentage with given level in Waukesha 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 Waukesha County and New Berlin
New Berlin
Waukesha County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.357678%1.279011%1.357678%1.4%4062.404361%2.663732%2.404361%2.4%7199.808052%10.312096%9.808052%9.8%2,93327.210407%27.368596%27.210407%27.2%8,13710.440075%9.626795%10.440075%10.4%3,12220.408641%20.460198%20.408641%20.4%6,10324.133895%24.173421%24.133895%24.1%7,2172.698636%2.678575%2.698636%2.7%8071.197164%1.142168%1.197164%1.2%3580.341091%0.295407%0.341091%0.3%102
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 Waukesha County at large.
Scope: population of Waukesha County and New Berlin
-10%0%+10%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None6.150583%6.150583%+6.2%1.358%1.36%1.279%1.28%-9.737139%-9.737139%-9.7%2.404%2.40%2.664%2.66%-4.887888%-4.887888%-4.9%9.808%9.81%10.312%10.3%-0.577997%-0.577997%-0.6%27.210%27.2%27.369%27.4%8.448084%8.448084%+8.4%10.440%10.4%9.627%9.63%-0.251986%-0.251986%-0.3%20.409%20.4%20.460%20.5%-0.163511%-0.163511%-0.2%24.134%24.1%24.173%24.2%0.748942%0.748942%+0.7%2.699%2.70%2.679%2.68%4.815051%4.815051%+4.8%1.197%1.20%1.142%1.14%15.464904%15.464904%+15.5%0.341%0.34%0.295%0.30%
% percentage with given level in New Berlin
ref. percentage with given level in Waukesha 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 Waukesha County and New Berlin
More Females More Males
Waukesha County
New Berlin
0%5%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-1.627311%3.195899%3.195899%3%50.447%50.4%52.059%52.1%-3.812896%-3.812896%4%0.626350%45.342%45.3%43.676%43.7%1.260981%14.236893%1.260981%1%4.211%4.21%4.265%4.26%
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 Waukesha County and New Berlin
More Females More Males
Waukesha County
New Berlin
0%50%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None13.849244%57.151994%13.849244%14%1.273%1.27%1.449%1.45%117.658356%75.980194%117.658356%118%1.537%1.54%3.345%3.34%-5.545539%16.582519%16.582519%17%9.085%9.09%10.592%10.6%-5.311020%-2.832788%-5.311020%5%27.885%27.9%26.479%26.5%-4.633331%-17.694700%-4.633331%5%10.667%10.7%10.194%10.2%12.982054%10.090108%12.982054%13%19.212%19.2%21.706%21.7%-18.931726%-7.252655%-18.931726%19%26.130%26.1%21.971%22.0%4.939420%20.427611%4.939420%5%2.636%2.64%2.766%2.77%-5.532175%-1.707292%-5.532175%6%1.228%1.23%1.164%1.16%-3.805536%-3.805536%4%26.586540%0.347%0.35%0.334%0.33%
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 Waukesha County and New Berlin
New Berlin
Waukesha County
0%10%20%30%B.X.Total65+45-6435-4425-3416.064307%17.462313%16.064307%16.1%1,2898,02428.339061%27.631968%28.339061%28.3%3,71113,09513.1k36.388571%33.706060%36.388571%36.4%1,5924,37535.034014%34.875221%35.034014%35.0%1,5454,410
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 Waukesha County at large.
Scope: population of Waukesha County and New Berlin
8%6%4%2%0%2%4%6%%ref.65+45-6435-4425-34-8.005849%-8.005849%8.0%16.064%16.1%17.462%17.5%2.558966%2.558966%2.6%28.339%28.3%27.632%27.6%7.958543%7.958543%8.0%36.389%36.4%33.706%33.7%0.455317%0.455317%0.5%35.034%35.0%34.875%34.9%
% percentage in New Berlin with a Bachelor's degree
ref percentage in Waukesha 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 Waukesha County and New Berlin
More Females More Males
Waukesha County
New Berlin
30%20%10%0%10%20%30%FM65+45-6435-4425-3426.783763%30.323177%26.783763%26.8%14.416%14.4%18.277%18.3%-13.487738%-4.447321%-13.487738%13.5%30.117%30.1%26.538%26.5%-32.568309%-14.397068%-32.568309%32.6%41.555%41.6%31.346%31.3%-5.193012%-23.307988%-5.193012%5.2%35.922%35.9%34.149%34.1%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Waukesha County and New Berlin
New Berlin
Waukesha County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$76,838.000000$76,617.000000$76,838.000000$76.8k4,05813.570%13.6%$59,472.000000$58,818.000000$59,472.000000$59.5k8,13727.210%27.2%$40,897.000000$40,646.000000$40,897.000000$40.9k9,22530.849%30.8%$36,239.000000$34,269.000000$36,239.000000$36.2k7,21724.134%24.1%$17,028.000000$27,052.000000$17,028.000000$17.0k1,2674.237%4.24%$50,177.000000$47,965.000000$50,177.000000$50.2k29,90429.9k100.000%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 Waukesha County and New Berlin
Female Male
Waukesha County
New Berlin
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-70,956.000000$-61,695.000000$-70,956.000000$71.0k$70,956.000000$11,981.000000$61,695.000000$35,036.000000$82,937.000000$82.9k1,8502,208$-49,486.000000$-46,051.000000$-49,486.000000$49.5k$49,486.000000$25,827.000000$46,051.000000$29,713.000000$75,313.000000$75.3k4,3373,800$-31,331.000000$-31,520.000000$-31,331.000000$31.3k$31,331.000000$18,228.000000$31,520.000000$18,962.000000$49,559.000000$49.6k4,6474,578$-26,542.000000$-26,235.000000$-26,542.000000$26.5k$26,542.000000$19,291.000000$26,235.000000$16,509.000000$45,833.000000$45.8k4,0643,153$-40,971.000000$-38,021.000000$-40,971.000000$41.0k$40,971.000000$19,198.000000$38,021.000000$19,862.000000$60,169.000000$60.2k15,55315.6k14,35114.4k
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 Waukesha County and New Berlin
New Berlin
Waukesha County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.140761%86.056133%85.140761%85.1%8,58984.671215%81.017981%84.671215%84.7%5,83376.908839%77.121085%76.908839%76.9%3,32469.879518%62.429379%69.879518%69.9%406
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 Waukesha County and New Berlin
Female Male
Waukesha County
New Berlin
Shaded bar tips show excess over facing bar.
10%0%10%20%MFWhite1BlackAsianHispanic2Other1-3.720800%-3.087711%-3.720800%3.7%3.720800%0.213948%3.087711%0.404890%3.934748%3.9%521532-0.000000%-13.260026%0.000000%0.0%0.000000%0.000000%13.260026%6.148973%0.000000%0.0%00-14.701131%-0.089445%-5.483368%-2.471445%-14.790576%14.8%14.701131%5.483368%14.701131%14.7%91113-0.000000%-3.809524%-17.870895%-3.809524%3.8%0.000000%17.870895%4.097318%0.000000%0.0%08-0.000000%-1.000000%-17.942284%-1.000000%1.0%0.000000%17.942284%1.363272%0.000000%0.0%02
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 Waukesha County and New Berlin
Female Male
Waukesha County
New Berlin
Shaded bar tips show excess over facing bar.
50%0%50%MFWhite1BlackAsianHispanic2Other1-38.991467%-41.231586%-38.991467%39.0%38.991467%2.183670%41.231586%0.781767%41.175138%41.2%5,4525,575-20.895522%-1.182400%-25.587643%-1.837972%-22.077922%22.1%20.895522%25.587643%20.895522%20.9%1434-57.329843%-67.710049%-57.329843%57.3%57.329843%7.613614%67.710049%7.783714%64.943457%64.9%402438-24.137931%-17.766831%-18.223383%-5.242075%-41.904762%41.9%24.137931%18.223383%24.137931%24.1%7788-48.500000%-26.725220%-48.500000%48.5%48.500000%1.500000%26.725220%2.858114%50.000000%50.0%6397
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Neighborhood in New Berlin

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

Percentage of the population 25 years and older with given highest level of educational attainment
34.8%38.3%41.7%45.2%48.7%52.2%

Coarse: High School Diploma Educational Attainment by Neighborhood#16

Percentage of the population 25 years and older with given highest level of educational attainment
43.2%45.5%47.8%50.1%52.3%54.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.2%5.3%7.4%9.4%11.5%13.6%

Detailed: Doctorate Degree Educational Attainment by Neighborhood#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.44%0.57%0.69%0.82%0.95%1.08%

Detailed: Professional Degree Educational Attainment by Neighborhood#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.84%1.09%1.32%1.56%1.80%2.04%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.1%9.0%9.7%10.5%11.3%12.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
14.1%17.0%20.0%22.9%25.9%28.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.3%7.6%8.9%10.1%11.3%12.6%

Detailed: Some College Educational Attainment by Neighborhood#23

Percentage of the population 25 years and older with given highest level of educational attainment
18.7%19.6%20.5%21.3%22.2%23.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
21.1%24.1%27.0%30.0%32.9%35.9%

Detailed: Some High School Educational Attainment by Neighborhood#25

Percentage of the population 25 years and older with given highest level of educational attainment
1.7%3.5%5.2%7.0%8.7%10.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.10%1.36%1.62%1.88%2.14%2.40%

Detailed: None Educational Attainment by Neighborhood#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.01%0.33%0.64%0.96%1.27%1.60%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in New Berlin

Coarse: Post-Secondary Degree Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
37.5%42.0%46.4%50.9%55.3%59.9%

Coarse: High School Diploma Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
37.1%41.3%45.4%49.6%53.7%57.9%

Coarse: No High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
1.6%2.6%3.5%4.4%5.4%6.4%

Detailed: Doctorate Degree Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%1.0%1.6%2.2%2.8%3.5%

Detailed: Professional Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.4%1.2%2.0%2.7%3.4%4.2%

Detailed: Master's Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
4.3%6.5%8.7%10.9%13.1%15.4%

Detailed: Bachelor's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
20.4%23.5%26.5%29.6%32.7%35.8%

Detailed: Associate's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
5.6%7.2%8.8%10.5%12.1%13.7%

Detailed: Some College Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
16.1%18.8%21.3%23.9%26.5%29.1%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
19.7%21.6%23.4%25.2%27.0%28.9%

Detailed: Some High School Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
0.7%1.4%2.1%2.8%3.4%4.1%

Detailed: Less than High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.5%1.1%1.6%2.1%2.7%

Detailed: None Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.27%0.55%0.82%1.09%1.37%
Road Data ©OpenStreetMap

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Educational Attainment by Neighborhood in New Berlin

There are 5 neighborhoods that are fully or partially contained within New Berlin (2 fully and 3 partially). This section compares all 5 of those to each other, New Berlin, and other entities that contain or substantially overlap with New Berlin.

No H.S. Diploma by Neighborhood#41

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of New Berlin, selected neighborhoods in New Berlin, and entities that contain New Berlin
0%5%10%Count#Orchard Hills NeighborhoodOrchard HillsUnited States of AmericaUnited StatesEast North CentralGreenfield Park NeighborhoodGreenfield PkMidwestMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWisconsinNew Berlin Industrial Park NeighborhoodNew Berlin Ind PkWest Lincoln Avenue NeighborhoodW Lincoln AveNew BerlinNew BerlinWaukesha CountyWaukeshaGreenfield Avenue NeighborhoodGreenfield Ave13.515901%13.515901%13.5%79113.020590%13.020590%13.0%27,818,38027.8M10.719464%10.719464%10.7%3,363,7843.36M10.594315%10.594315%10.6%105106210.244520%10.244520%10.2%4,641,8354.64M9.572772%9.572772%9.6%100,754101k8.637220%8.637220%8.6%336,096336k6.242344%6.242344%6.2%101134.373429%4.373429%4.4%15215344.236891%4.236891%4.2%1,2674.236891%4.236891%4.2%1,2674.116150%4.116150%4.1%11,37011.4k3.295101%3.295101%3.3%1155
Count number of people in category
# rank of neighborhood out of 5 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#42

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of New Berlin, selected neighborhoods in New Berlin, and entities that contain New Berlin
0%10%20%30%40%Count#Waukesha CountyWaukeshaNew BerlinNew BerlinWest Lincoln Avenue NeighborhoodW Lincoln AveGreenfield Avenue NeighborhoodGreenfield AveNew Berlin Industrial Park NeighborhoodNew Berlin Ind PkOrchard Hills NeighborhoodOrchard HillsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeUnited States of AmericaUnited StatesMidwestEast North CentralWisconsinGreenfield Park NeighborhoodGreenfield Pk41.623436%41.623436%41.6%114,976115k40.780498%40.780498%40.8%12,19512.2k40.780498%40.780498%40.8%12,19512.2k39.654975%39.654975%39.7%1,3851,386139.429722%39.429722%39.4%1,3791,380237.924100%37.924100%37.9%64334.864547%34.864547%34.9%204433.810164%33.810164%33.8%355,854356k30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.427095%27.427095%27.4%2735
Count number of people in category
# rank of neighborhood out of 5 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#43

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of New Berlin, selected neighborhoods in New Berlin, and entities that contain New Berlin
0%1%2%3%Count#Waukesha CountyWaukeshaNew BerlinNew BerlinUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMidwestEast North CentralWisconsinOrchard Hills NeighborhoodOrchard HillsGreenfield Avenue NeighborhoodGreenfield AveNew Berlin Industrial Park NeighborhoodNew Berlin Ind PkWest Lincoln Avenue NeighborhoodW Lincoln AveGreenfield Park NeighborhoodGreenfield Pk3.942743%3.942743%3.9%10,89110.9k3.762039%3.762039%3.8%1,1253.762039%3.762039%3.8%1,1253.336158%3.336158%3.3%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.502945%2.502945%2.5%141512.498816%2.498816%2.5%8722.283329%2.283329%2.3%3432.267191%2.267191%2.3%7941.291990%1.291990%1.3%12135
Count number of people in category
# rank of neighborhood out of 5 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 Neighborhood#44

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 New Berlin, selected neighborhoods in New Berlin, and entities that contain New Berlin
Female
Male
2x1x0x1xFM#W Lincoln AveWisconsinGreenfield PkWaukeshaMidwestEast North CentralUnited StatesMilwaukeeGreenfield AveNew BerlinNew BerlinNew Berlin Ind PkOrchard Hills-1.000000x-1.000000x1.752829x1.752829x1.75x3.188%3.19%5.588%5.59%1-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.202695x1.202695x1.20x9.748%9.75%11.724%11.7%2-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.067813x1.067813x1.07x3.194%3.19%3.410%3.41%3-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%-1.015080x-1.015080x1.02x1.000000x1.000000x6.286%6.29%6.193%6.19%4-2.317357x-2.317357x2.32x1.000000x1.000000x18.326%18.3%7.908%7.91%5
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 5 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#45

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 New Berlin, selected neighborhoods in New Berlin, and entities that contain New Berlin
Female
Male
0x5x10xFM#Orchard HillsGreenfield PkW Lincoln AveNew Berlin Ind PkNew BerlinNew BerlinWaukeshaEast North CentralMidwestMilwaukeeWisconsinUnited StatesGreenfield Ave-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.421%5.42%1-1.000000x-1.000000x4.506789x4.506789x4.51x0.516%0.52%2.328%2.33%2-1.000000x-1.000000x2.990332x2.990332x2.99x1.143%1.14%3.418%3.42%3-1.000000x-1.000000x2.421561x2.421561x2.42x1.366%1.37%3.308%3.31%4-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%-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-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.410754x1.410754x1.41x2.096%2.10%2.957%2.96%5
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 5 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Milwaukee Area

There are 96 county subdivisions in the Milwaukee Area. This section compares New Berlin to the 50 most populous county subdivisions in the Milwaukee Area and to those entities that contain or substantially overlap with New Berlin. The least populous of the compared county subdivisions has a population of 4,783.

No H.S. Diploma by County Subdivision#46

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of New Berlin, selected other county subdivisions in the Milwaukee Area, and entities that contain New Berlin
0%5%10%15%Count#MilwaukeeUnited States of AmericaUnited StatesSt. FrancisCudahyEast North CentralMidwestWest AllisMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeWisconsinGreenfieldFranklinWaukeshaHartfordWest BendSlingerJacksonBrown DeerOak CreekHales CornersHartlandGermantownGlendaleMenomonee FallsPort WashingtonTown of WaukeshaWaukeshaTown of BrookfieldBrookfieldNew BerlinNew BerlinWaukesha CountyWaukeshaOconomowocSummitSussexMuskegoGraftonTown of OconomowocOconomowocTown of LisbonLisbonWauwatosaGreendalePewaukeeRichfieldCedarburgMukwonagoDelafieldBrookfieldTown of VernonVernonTown of MukwonagoMukwonagoElm GroveTown of GeneseeGeneseeShorewoodWhitefish BayMequonFox PointTown of MertonMertonPewaukeeTown of CedarburgCedarburgTown of DelafieldDelafield17.485105%17.485105%17.5%63,80063.8k113.020590%13.020590%13.0%27,818,38027.8M11.382006%11.382006%11.4%859211.082337%11.082337%11.1%1,455310.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,39949.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,37958.637220%8.637220%8.6%336,096336k8.204982%8.204982%8.2%2,29667.392323%7.392323%7.4%1,92477.158983%7.158983%7.2%3,39387.103195%7.103195%7.1%67896.565400%6.565400%6.6%1,422106.437518%6.437518%6.4%221116.248676%6.248676%6.2%295126.204545%6.204545%6.2%546135.765641%5.765641%5.8%1,421145.418012%5.418012%5.4%302155.411725%5.411725%5.4%324165.227570%5.227570%5.2%719174.601195%4.601195%4.6%439184.484909%4.484909%4.5%1,165194.357654%4.357654%4.4%347204.353215%4.353215%4.4%281214.339461%4.339461%4.3%203224.236891%4.236891%4.2%1,2674.236891%4.236891%4.2%1,267234.116150%4.116150%4.1%11,37011.4k3.988090%3.988090%4.0%442243.883495%3.883495%3.9%124253.648037%3.648037%3.6%250263.554446%3.554446%3.6%598273.539607%3.539607%3.5%290283.490760%3.490760%3.5%221293.474753%3.474753%3.5%267303.390471%3.390471%3.4%1,167313.368560%3.368560%3.4%357323.203803%3.203803%3.2%310333.118254%3.118254%3.1%260343.102166%3.102166%3.1%242352.819914%2.819914%2.8%145362.818329%2.818329%2.8%139372.806979%2.806979%2.8%761382.798574%2.798574%2.8%157392.790041%2.790041%2.8%158402.671933%2.671933%2.7%115412.638727%2.638727%2.6%136422.374614%2.374614%2.4%223432.149733%2.149733%2.1%201442.107701%2.107701%2.1%355451.951017%1.951017%2.0%94461.940402%1.940402%1.9%112471.525540%1.525540%1.5%89481.091193%1.091193%1.1%42491.017592%1.017592%1.0%5950
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#47

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of New Berlin, selected other county subdivisions in the Milwaukee Area, and entities that contain New Berlin
0%20%40%60%Count#Fox PointElm GroveWhitefish BayShorewoodMequonWauwatosaBrookfieldCedarburgTown of DelafieldDelafieldDelafieldPewaukeeGlendaleSummitTown of MertonMertonTown of CedarburgCedarburgTown of BrookfieldBrookfieldOconomowocTown of OconomowocOconomowocWaukesha CountyWaukeshaMenomonee FallsNew BerlinNew BerlinGreendaleGraftonSussexGermantownRichfieldHales CornersTown of GeneseeGeneseeHartlandFranklinPort WashingtonBrown DeerTown of WaukeshaWaukeshaPewaukeeTown of MukwonagoMukwonagoWaukeshaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMuskegoTown of LisbonLisbonOak CreekUnited States of AmericaUnited StatesSlingerMukwonagoTown of VernonVernonSt. FrancisMidwestGreenfieldEast North CentralWisconsinWest BendJacksonHartfordWest AllisMilwaukeeCudahySouth MilwaukeeS Milwaukee76.587796%76.587796%76.6%3,690172.188662%72.188662%72.2%3,107272.160428%72.160428%72.2%6,747367.511447%67.511447%67.5%6,340463.254765%63.254765%63.3%10,65410.7k558.155142%58.155142%58.2%20,01720.0k658.053926%58.053926%58.1%15,73915.7k757.351622%57.351622%57.4%4,474856.881683%56.881683%56.9%3,298952.331711%52.331711%52.3%2,5811051.705250%51.705250%51.7%5,0031151.200084%51.200084%51.2%4,8851250.078296%50.078296%50.1%1,5991349.306999%49.306999%49.3%2,8461447.804625%47.804625%47.8%1,8401544.292433%44.292433%44.3%2,0721644.229902%44.229902%44.2%4,9021744.116253%44.116253%44.1%2,7931841.623436%41.623436%41.6%114,976115k41.080228%41.080228%41.1%10,67110.7k1940.780498%40.780498%40.8%12,19512.2k40.780498%40.780498%40.8%12,19512.2k2040.649179%40.649179%40.6%4,3082140.412547%40.412547%40.4%3,3112240.376477%40.376477%40.4%2,7672339.610295%39.610295%39.6%5,4482439.385944%39.385944%39.4%3,2842539.092214%39.092214%39.1%2,1792638.125728%38.125728%38.1%1,9652737.898781%37.898781%37.9%2,2692837.841472%37.841472%37.8%9,8492937.310059%37.310059%37.3%2,9713037.045455%37.045455%37.0%3,2603135.879163%35.879163%35.9%2,3163235.755914%35.755914%35.8%2,0863335.740773%35.740773%35.7%2,0243435.550164%35.550164%35.6%16,84916.8k3533.810164%33.810164%33.8%355,854356k33.499762%33.499762%33.5%5,6363632.053618%32.053618%32.1%2,4633731.640023%31.640023%31.6%7,7983830.315023%30.315023%30.3%64,767,78764.8M29.478590%29.478590%29.5%1,0123929.443796%29.443796%29.4%1,5144029.197861%29.197861%29.2%1,6384129.177156%29.177156%29.2%2,2024228.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0934328.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.212706%27.212706%27.2%5,8944426.329168%26.329168%26.3%1,2434525.584075%25.584075%25.6%2,4424623.980394%23.980394%24.0%10,51910.5k4723.517740%23.517740%23.5%85,81285.8k4821.471552%21.471552%21.5%2,8194920.519827%20.519827%20.5%3,07950
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#48

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of New Berlin, selected other county subdivisions in the Milwaukee Area, and entities that contain New Berlin
0%5%10%15%Count#Fox PointElm GroveShorewoodWhitefish BayMequonBrookfieldWauwatosaGlendaleTown of DelafieldDelafieldCedarburgSummitTown of CedarburgCedarburgTown of GeneseeGeneseeDelafieldOconomowocTown of OconomowocOconomowocTown of MertonMertonWaukesha CountyWaukeshaTown of BrookfieldBrookfieldNew BerlinNew BerlinGreendalePewaukeeHartlandPewaukeeTown of MukwonagoMukwonagoUnited States of AmericaUnited StatesBrown DeerMenomonee FallsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeePort WashingtonTown of WaukeshaWaukeshaFranklinGermantownMidwestHales CornersEast North CentralSt. FrancisWisconsinMuskegoRichfieldGraftonTown of VernonVernonWaukeshaMilwaukeeMukwonagoGreenfieldSussexOak CreekSlingerCudahyWest BendWest AllisTown of LisbonLisbonHartfordSouth MilwaukeeS MilwaukeeJackson19.966791%19.966791%20.0%962115.381041%15.381041%15.4%662213.736556%13.736556%13.7%1,290312.064171%12.064171%12.1%1,128411.084724%11.084724%11.1%1,86759.217661%9.217661%9.2%2,49968.094131%8.094131%8.1%2,78676.435384%6.435384%6.4%61486.364264%6.364264%6.4%36995.704397%5.704397%5.7%445105.606013%5.606013%5.6%179114.702520%4.702520%4.7%181124.520761%4.520761%4.5%233134.318735%4.318735%4.3%213144.222683%4.222683%4.2%468154.059390%4.059390%4.1%257164.054054%4.054054%4.1%234173.942743%3.942743%3.9%10,89110.9k3.826422%3.826422%3.8%179183.762039%3.762039%3.8%1,1253.762039%3.762039%3.8%1,125193.727118%3.727118%3.7%395203.679206%3.679206%3.7%356213.574411%3.574411%3.6%214223.359616%3.359616%3.4%196233.355112%3.355112%3.4%190243.336158%3.336158%3.3%7,127,6737.13M3.329545%3.329545%3.3%293253.295350%3.295350%3.3%856263.286157%3.286157%3.3%34,58734.6k3.214869%3.214869%3.2%256273.191325%3.191325%3.2%206283.100626%3.100626%3.1%807292.995492%2.995492%3.0%412302.893416%2.893416%2.9%1,311,0191.31M2.870470%2.870470%2.9%160312.855432%2.855432%2.9%896,039896k2.756062%2.756062%2.8%208322.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450332.494603%2.494603%2.5%208342.441108%2.441108%2.4%200352.424242%2.424242%2.4%136362.192214%2.192214%2.2%1,039372.043126%2.043126%2.0%7,455381.905873%1.905873%1.9%98391.868992%1.868992%1.9%523401.838611%1.838611%1.8%126411.809624%1.809624%1.8%446421.747742%1.747742%1.7%60431.302460%1.302460%1.3%171441.292765%1.292765%1.3%280451.251567%1.251567%1.3%549461.093181%1.093181%1.1%84471.016239%1.016239%1.0%97480.893036%0.893036%0.9%134490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#49

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 New Berlin, selected other county subdivisions in the Milwaukee Area, and entities that contain New Berlin
Female
Male
2x0x2x4xFM#CedarburgPewaukeeHartlandGreendaleDelafieldWaukeshaVernonMukwonagoFranklinGeneseeSummitRichfieldBrown DeerWauwatosaWaukeshaWhitefish BayWisconsinGermantownMuskegoPewaukeeMequonWaukeshaMertonMidwestEast North CentralMilwaukeeWest BendHartfordUnited StatesPort WashingtonMilwaukeeMenomonee FallsJacksonOak CreekGlendaleGreenfieldBrookfieldNew BerlinNew BerlinHales CornersWest AllisS MilwaukeeCudahyBrookfieldMukwonagoSt. FrancisFox PointOconomowocOconomowocCedarburgSussexLisbonGraftonShorewoodSlingerElm GroveDelafield-1.000000x-1.000000x5.209549x5.209549x5.21x0.356%0.36%1.857%1.86%1-1.000000x-1.000000x2.458344x2.458344x2.46x0.905%0.91%2.225%2.23%2-1.000000x-1.000000x2.349083x2.349083x2.35x3.292%3.29%7.733%7.73%3-1.000000x-1.000000x2.150369x2.150369x2.15x2.213%2.21%4.758%4.76%4-1.000000x-1.000000x2.074982x2.074982x2.07x0.660%0.66%1.370%1.37%5-1.000000x-1.000000x1.893208x1.893208x1.89x3.038%3.04%5.751%5.75%6-1.000000x-1.000000x1.851903x1.851903x1.85x1.962%1.96%3.634%3.63%7-1.000000x-1.000000x1.731706x1.731706x1.73x2.029%2.03%3.514%3.51%8-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%9-1.000000x-1.000000x1.575758x1.575758x1.58x2.043%2.04%3.220%3.22%10-1.000000x-1.000000x1.574372x1.574372x1.57x3.027%3.03%4.765%4.76%11-1.000000x-1.000000x1.494002x1.494002x1.49x2.504%2.50%3.740%3.74%12-1.000000x-1.000000x1.321858x1.321858x1.32x5.408%5.41%7.148%7.15%13-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%14-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%15-1.000000x-1.000000x1.284172x1.284172x1.28x1.899%1.90%2.438%2.44%16-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%17-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%18-1.000000x-1.000000x1.154088x1.154088x1.15x2.980%2.98%3.439%3.44%19-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%20-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-1.000000x-1.000000x1.136594x1.136594x1.14x1.818%1.82%2.066%2.07%21-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%22-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%23-1.000000x-1.000000x1.109296x1.109296x1.11x6.741%6.74%7.478%7.48%24-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.103873x1.103873x1.10x4.145%4.14%4.575%4.58%25-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%26-1.000000x-1.000000x1.052843x1.052843x1.05x6.101%6.10%6.423%6.42%27-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%28-1.000000x-1.000000x1.046921x1.046921x1.05x4.505%4.51%4.717%4.72%29-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%30-1.000000x-1.000000x1.013079x1.013079x1.01x4.315%4.31%4.371%4.37%31-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%32-1.023703x-1.023703x1.02x1.000000x1.000000x5.476%5.48%5.349%5.35%33-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%34-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%35-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%36-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%37-1.139343x-1.139343x1.14x1.000000x1.000000x2.993%2.99%2.627%2.63%38-1.204832x-1.204832x1.20x1.000000x1.000000x12.389%12.4%10.283%10.3%39-1.271644x-1.271644x1.27x1.000000x1.000000x2.177%2.18%1.712%1.71%40-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%41-1.450249x-1.450249x1.45x1.000000x1.000000x4.124%4.12%2.843%2.84%42-1.451447x-1.451447x1.45x1.000000x1.000000x3.640%3.64%2.508%2.51%43-1.456932x-1.456932x1.46x1.000000x1.000000x4.308%4.31%2.957%2.96%44-1.479136x-1.479136x1.48x1.000000x1.000000x4.148%4.15%2.804%2.80%45-1.885780x-1.885780x1.89x1.000000x1.000000x4.513%4.51%2.393%2.39%46-1.992381x-1.992381x1.99x1.000000x1.000000x3.093%3.09%1.553%1.55%47-2.473494x-2.473494x2.47x1.000000x1.000000x9.270%9.27%3.748%3.75%48-2.511825x-2.511825x2.51x1.000000x1.000000x3.655%3.66%1.455%1.46%49-2.551624x-2.551624x2.55x1.000000x1.000000x3.951%3.95%1.548%1.55%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#50

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 New Berlin, selected other county subdivisions in the Milwaukee Area, and entities that contain New Berlin
Female
Male
5x0x5xFM#PewaukeeOconomowocGraftonSussexCudahyDelafieldMuskegoBrown DeerMequonBrookfieldGreendaleRichfieldCedarburgBrookfieldElm GroveMukwonagoDelafieldWaukeshaMertonWhitefish BayNew BerlinNew BerlinWaukeshaWest AllisWauwatosaShorewoodWest BendEast North CentralMidwestMilwaukeeWisconsinFox PointUnited StatesCedarburgHartlandGlendaleFranklinS MilwaukeeGeneseePewaukeeMenomonee FallsMilwaukeeSt. FrancisSummitGermantownWaukeshaOconomowocGreenfieldPort WashingtonOak CreekHales CornersMukwonagoVernonSlingerLisbonHartford-1.000000x-1.000000x5.376591x5.376591x5.38x1.099%1.10%5.910%5.91%1-1.000000x-1.000000x3.588364x3.588364x3.59x1.781%1.78%6.390%6.39%2-1.000000x-1.000000x3.442806x3.442806x3.44x1.151%1.15%3.962%3.96%3-1.000000x-1.000000x3.350060x3.350060x3.35x0.856%0.86%2.867%2.87%4-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%5-1.000000x-1.000000x2.545378x2.545378x2.55x3.579%3.58%9.110%9.11%6-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%7-1.000000x-1.000000x2.430005x2.430005x2.43x2.012%2.01%4.890%4.89%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.342052x2.342052x2.34x2.405%2.41%5.634%5.63%10-1.000000x-1.000000x2.289014x2.289014x2.29x2.351%2.35%5.381%5.38%11-1.000000x-1.000000x2.277148x2.277148x2.28x1.526%1.53%3.475%3.47%12-1.000000x-1.000000x2.209567x2.209567x2.21x2.953%2.95%6.525%6.53%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x1.974359x1.974359x1.97x10.714%10.7%21.154%21.2%15-1.000000x-1.000000x1.913109x1.913109x1.91x1.330%1.33%2.545%2.55%16-1.000000x-1.000000x1.864145x1.864145x1.86x3.069%3.07%5.720%5.72%17-1.000000x-1.000000x1.855485x1.855485x1.86x2.256%2.26%4.185%4.19%18-1.000000x-1.000000x1.725152x1.725152x1.73x2.984%2.98%5.147%5.15%19-1.000000x-1.000000x1.708618x1.708618x1.71x9.075%9.07%15.505%15.5%20-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%21-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%22-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%23-1.000000x-1.000000x1.656396x1.656396x1.66x10.517%10.5%17.420%17.4%24-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%25-1.000000x-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-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570537x1.570537x1.57x15.639%15.6%24.561%24.6%26-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522931x1.522931x1.52x4.569%4.57%6.958%6.96%27-1.000000x-1.000000x1.508421x1.508421x1.51x2.876%2.88%4.339%4.34%28-1.000000x-1.000000x1.496511x1.496511x1.50x5.253%5.25%7.861%7.86%29-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%30-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%31-1.000000x-1.000000x1.442450x1.442450x1.44x3.694%3.69%5.328%5.33%32-1.000000x-1.000000x1.415052x1.415052x1.42x3.061%3.06%4.331%4.33%33-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%34-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%35-1.000000x-1.000000x1.350002x1.350002x1.35x2.361%2.36%3.187%3.19%36-1.000000x-1.000000x1.244466x1.244466x1.24x5.003%5.00%6.226%6.23%37-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%38-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%39-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%40-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%41-1.124115x-1.124115x1.12x1.000000x1.000000x3.400%3.40%3.025%3.02%42-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%43-1.242283x-1.242283x1.24x1.000000x1.000000x3.153%3.15%2.538%2.54%44-1.299297x-1.299297x1.30x1.000000x1.000000x3.804%3.80%2.928%2.93%45-1.387943x-1.387943x1.39x1.000000x1.000000x2.818%2.82%2.031%2.03%46-1.819215x-1.819215x1.82x1.000000x1.000000x2.273%2.27%1.249%1.25%47-2.121025x-2.121025x2.12x1.000000x1.000000x1.487%1.49%0.701%0.70%48-7.565151x-7.565151x7.57x1.000000x1.000000x1.773%1.77%0.234%0.23%49
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 49 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

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

No H.S. Diploma by County Subdivision#51

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of New Berlin, selected other county subdivisions in Wisconsin, and entities that contain New Berlin
0%5%10%15%Count#BeloitRacineMilwaukeeUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldPleasant PrairieAppletonFranklinWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinNew BerlinWaukesha CountyWaukeshaOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.572772%9.572772%9.6%100,754101k9.190270%9.190270%9.2%1,379138.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,2674.236891%4.236891%4.2%1,267424.116150%4.116150%4.1%11,37011.4k3.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#52

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of New Berlin, selected other county subdivisions in Wisconsin, and entities that contain New Berlin
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocWaukesha CountyWaukeshaMenomonee FallsSun PrairieNew BerlinNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganBeaver DamRacineBeloitWisconsin Rapids63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.623436%41.623436%41.6%114,976115k41.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k40.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.810164%33.810164%33.8%355,854356k33.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982630.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033127.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783325.519199%25.519199%25.5%6,8323424.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k4022.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844618.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,00350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#53

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of New Berlin, selected other county subdivisions in Wisconsin, and entities that contain New Berlin
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocWaukesha CountyWaukeshaNew BerlinNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsJanesvilleOshkoshSuperiorFond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.942743%3.942743%3.9%10,89110.9k3.762039%3.762039%3.8%1,1253.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.286157%3.286157%3.3%34,58734.6k3.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.552204%2.552204%2.6%286242.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.688734%1.688734%1.7%213371.555418%1.555418%1.6%676381.549604%1.549604%1.5%644391.525582%1.525582%1.5%277401.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%9450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#54

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 New Berlin, selected other county subdivisions in Wisconsin, and entities that contain New Berlin
Female
Male
1x0x1x2xFM#De PereMenashaOshkoshFranklinCaledoniaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaMequonWaukeshaMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMilwaukeeMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.015610x1.015610x1.02x8.765%8.76%8.902%8.90%37-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%38-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#55

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 New Berlin, selected other county subdivisions in Wisconsin, and entities that contain New Berlin
Female
Male
1x0x1x2x3xFM#NeenahPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinNew BerlinWaukeshaWest AllisWauwatosaWest BendEast North CentralMidwestMilwaukeeWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%20-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%21-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%22-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%25-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%26-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%27-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%31-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%32-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#56

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of New Berlin, selected other county subdivisions in the Midwest, and entities that contain New Berlin
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonNew BerlinNew BerlinWaukesha CountyWaukeshaDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.572772%9.572772%9.6%100,754101k8.637220%8.637220%8.6%336,096336k8.623103%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%7,351464.236891%4.236891%4.2%1,2674.236891%4.236891%4.2%1,2674.116150%4.116150%4.1%11,37011.4k4.020265%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#57

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of New Berlin, selected other county subdivisions in the Midwest, and entities that contain New Berlin
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgWaukesha CountyWaukeshaKaw TownshipNew BerlinNew BerlinSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.623436%41.623436%41.6%114,976115k41.581304%41.581304%41.6%50,61950.6k1440.780498%40.780498%40.8%12,19512.2k40.780498%40.780498%40.8%12,19512.2k39.969357%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%99,56199.6k2333.810164%33.810164%33.8%355,854356k33.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#58

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of New Berlin, selected other county subdivisions in the Midwest, and entities that contain New Berlin
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineWaukesha CountyWaukeshaNew BerlinNew BerlinPalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.942743%3.942743%3.9%10,89110.9k3.762039%3.762039%3.8%1,1253.762039%3.762039%3.8%1,1253.487439%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%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.703886%2.703886%2.7%105,215105k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#59

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 New Berlin, selected other county subdivisions in the Midwest, and entities that contain New Berlin
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWaukeshaWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheMilwaukeeWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonNew BerlinNew BerlinBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-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-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%-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#60

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 New Berlin, selected other county subdivisions in the Midwest, and entities that contain New Berlin
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkNew BerlinNew BerlinWaukeshaMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleMilwaukeeWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares New Berlin to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with New Berlin. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#61

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of New Berlin, selected other county subdivisions in the United States, and entities that contain New Berlin
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeAtlantaSeattleWisconsinNortheast TarrantNE TarrantPlanoSeattle EastNew BerlinNew BerlinWaukesha CountyWaukesha28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.572772%9.572772%9.6%100,754101k9.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k504.236891%4.236891%4.2%1,2674.236891%4.236891%4.2%1,2674.116150%4.116150%4.1%11,37011.4k
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#62

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of New Berlin, selected other county subdivisions in the United States, and entities that contain New Berlin
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteWaukesha CountyWaukeshaNew BerlinNew BerlinTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1241.623436%41.623436%41.6%114,976115k40.780498%40.780498%40.8%12,19512.2k40.780498%40.780498%40.8%12,19512.2k38.767308%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%597,685598k2033.810164%33.810164%33.8%355,854356k33.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.373439%28.373439%28.4%1,104,0821.10M28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#63

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of New Berlin, selected other county subdivisions in the United States, and entities that contain New Berlin
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiWaukesha CountyWaukeshaNortheast DallasNE DallasSalt Lake CitySalt Lk CityNew BerlinNew BerlinHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesMilwaukee, Waukesha, and West Allis Metro AreaMilwaukeeTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.942743%3.942743%3.9%10,89110.9k3.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.762039%3.762039%3.8%1,1253.762039%3.762039%3.8%1,1253.737871%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%7,127,6737.13M3.286157%3.286157%3.3%34,58734.6k3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.703886%2.703886%2.7%105,215105k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#64

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 New Berlin, selected other county subdivisions in the United States, and entities that contain New Berlin
Female
Male
1x0x1xFM#1, CharlotteDetroitWisconsinBaltimoreTulsaSW DallasWaukeshaMidwestFresnoEast North CentralMilwaukeeUnited StatesMilwaukeeNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynNew BerlinNew BerlinSan 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-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.142369x1.142369x1.14x3.851%3.85%4.400%4.40%-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-1.000000x1.100654x1.100654x1.10x9.134%9.13%10.054%10.1%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%-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#65

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 New Berlin, selected other county subdivisions in the United States, and entities that contain New Berlin
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNew BerlinNew BerlinWaukeshaNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestMilwaukeeNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%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-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%-1.000000x-1.000000x1.695850x1.695850x1.70x2.951%2.95%5.005%5.00%-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583700x1.583700x1.58x2.571%2.57%4.071%4.07%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

Income

Education

More Maps to Explore

State:
Wisconsin
County:
Waukesha
Metro Area:
Milwaukee Area
City:
New Berlin
ZIP Codes:
53146, 53150, 53151
Unified School Districts:
Elmbrook, Muskego-Norway, New Berlin, West Allis
Neighborhoods:
Greenfield Avenue, Greenfield Park, New Berlin Industrial Park, Orchard Hills, West Lincoln Avenue
Congressional Districts:
WI-1, WI-5
State Senate Districts:
WI-5, WI-28
Assembly Districts:
WI-15, WI-84
Neighboring Towns:
Brookfield, Vernon, Waukesha