Employment Status in Berlin, Green Lake County, Wisconsin (City)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Green Lake County and Berlin
Berlin
Green Lake County
0%10%20%30%40%50%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.039709%056.957027%59.046989%56.957027%57.0%2,4523.321719%3.136995%3.321719%3.3%14339.721254%37.776307%39.721254%39.7%1,710
Count population with given employment status
1excluding armed forces 2not in the labor force

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Green Lake County and Berlin
Berlin
Green Lake County
50%0%50%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-52.661934%-52.661934%-52.661934%52.7%52.661934%9.015296%52.661934%9.015296%61.677231%61.7%1,1871,265-2.972493%-2.972493%-2.972493%3.0%2.972493%0.733016%2.972493%0.733016%3.705510%3.7%6776-34.617260%-9.748312%-34.617260%-9.748312%-44.365572%44.4%34.617260%34.617260%34.617260%34.6%1,000710
F females with given employment status
M males with given employment status
1excluding armed forces 2not in the labor force

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of Berlin
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%2.059925%0.000000%97.940075%98%110.000000%14.213198%14%0.000000%85.786802%86%280.000000%22.691293%23%0.000000%77.308707%77%860.000000%46.473029%46%3.319502%50.207469%50%1120.000000%64.166667%64%8.333333%8%27.500000%28%770.000000%72.782875%73%2.140673%25.076453%25%2380.000000%73.107890%73%8.534622%9%18.357488%18%4540.000000%86.449864%86%3.658537%9.891599%10%6380.000000%81.612903%82%3.870968%14.516129%15%2530.000000%73.260073%73%0.000000%26.739927%27%2000.000000%73.863636%74%0.000000%26.136364%26%1300.000000%92.638037%93%0.000000%7.361963%7%1510.000000%32.743363%33%11.504425%12%55.752212%56%740%20%40%60%80%100%Count
Count number of people in age cohort

Employment by Sex and Age#4

Percentage of population employed by sex and age cohort.
Scope: population of Berlin
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-191.208%1.21%3.448%3.45%15.789%15.8%10.938%10.9%25.980%26.0%18.857%18.9%54.321%54.3%42.500%42.5%60.000%60.0%68.333%68.3%70.745%70.7%75.540%75.5%65.964%66.0%81.315%81.3%92.941%92.9%80.905%80.9%65.000%65.0%95.294%95.3%67.742%67.7%77.852%77.9%63.492%63.5%100.000%100%79.630%79.6%99.083%99.1%44.681%44.7%12.941%12.9%
F employed females as percentage of age cohort
M employed males as percentage of age cohort

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Green Lake County and Berlin
More Females More Males
Green Lake County
Berlin
400%200%0%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1975.000000%15.686275%75.000000%75.0%1.7501.7547-200.000000%-200.000000%200.0%20.481928%0.3330.33217-60.606061%-60.606061%60.6%6.629834%0.6230.62533354.545455%25.142857%54.545455%54.5%1.5451.55446813.888889%44.897959%13.888889%13.9%1.1391.143641-26.666667%-26.666667%26.7%0.349040%0.7890.791331057.305936%8.514851%7.305936%7.3%1.0731.072192351.898734%6.553398%1.898734%1.9%1.0191.0231632278.021978%15.957447%78.021978%78.0%1.7801.789116238.095238%7.164179%38.095238%38.1%1.3811.3884116-60.000000%-28.235294%-60.000000%60.0%0.6250.638050151.162791%126.506024%151.162791%151.2%2.5122.5143108-472.727273%-6.417112%-472.727273%472.7%0.1750.176311
M:F ratio of males to females in the age cohort
F employed females in the age cohort
M employed males in the age cohort

Employment among the Married#6

Selected family employment structures as a percentage of all married couple households.
Scope: households in Green Lake County and Berlin
Berlin
Green Lake County
0%10%20%CountBoth Parents Work1Stay at Home Moms1Stay at Home Dads1Neither Parent WorksNeither Parent Wo…1Both Work, No Kids2Ladies Who Lunch2Gents Who Lunch2Neither Works, No KidsNeither Works, No …220.744681%21.231423%20.744681%20.7%2349.574468%7.053550%9.574468%9.6%1083.368794%1.958009%3.368794%3.4%381.241135%0.754895%1.241135%1.2%1424.379433%29.747582%24.379433%24.4%2757.712766%9.011559%7.712766%7.7%8711.524823%8.067941%11.524823%11.5%13021.453901%22.175041%21.453901%21.5%242
1children under 18 present in the house 2no children under 18 present in the house

Employment among the Married With Children#7

Selected employment arrangements as a percentage of married couples with children under 18 present in the house.
Scope: households in Green Lake County and Berlin
Berlin
Green Lake County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work59.390863%68.493151%59.390863%59.4%23427.411168%22.754947%27.411168%27.4%1089.644670%6.316591%9.644670%9.6%383.553299%2.435312%3.553299%3.6%14

Employment among the Married Without Children#8

Selected employment arrangements as a percentage of married couples without children under 18 present in the house.
Scope: households in Green Lake County and Berlin
Berlin
Green Lake County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work37.465940%43.111111%37.465940%37.5%27511.852861%13.059829%11.852861%11.9%8717.711172%11.692308%17.711172%17.7%13032.970027%32.136752%32.970027%33.0%242

Employment by Educational Attainment#9

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Green Lake County and Berlin
Berlin
Green Lake County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma390.954774%82.211538%90.954774%91.0%36278.591549%80.855329%78.591549%78.6%55873.720137%75.253444%73.720137%73.7%86453.714286%57.188841%53.714286%53.7%188
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

The Non-Working by Race#10

Percentage of each ethno-racial group's population 16 to 64 years of age that is either unemployed or not in the labor force.
Scope: population of Green Lake County and Berlin
Female Male
Green Lake County
Berlin
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%OtherHispanic1WhiteBlackAsianMixed-41.538462%-22.977667%-35.238095%-33.727422%-64.516129%64.5%41.538462%35.238095%41.538462%41.5%52.756%52.8%-31.645570%-43.169399%-31.645570%31.6%31.645570%5.854430%43.169399%13.889425%37.500000%37.5%33.010%33.0%-23.355263%-5.658821%-22.608039%-4.376088%-29.014085%29.0%23.355263%22.608039%23.355263%23.4%26.088%26.1%-0.000000%-32.530120%-67.469880%0.000000%0.0%0.000000%0.000000%32.530120%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%100.000000%0.000000%0.0%0.000%0%-0.000000%-11.111111%0.000000%0.0%0.000000%0.000000%11.111111%14.695341%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Unemployment by Race#11

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Green Lake County and Berlin
Female Male
Green Lake County
Berlin
Shaded bar tips show excess over facing bar.
80%60%40%20%0%20%40%%Hispanic1OtherWhiteBlackAsianMixed-17.721519%-12.568306%-17.721519%17.7%17.721519%19.778481%12.568306%19.196400%37.500000%37.5%22.330%22.3%-0.000000%-0.000000%0.000000%0.0%0.000000%41.538462%0.000000%25.714286%41.538462%41.5%21.260%21.3%-2.631579%-1.100815%-2.488732%-3.732394%3.7%2.631579%2.488732%1.247822%2.631579%2.6%3.163%3.16%-0.000000%-2.409639%-77.590361%0.000000%0.0%0.000000%0.000000%2.409639%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%41.176471%0.000000%0.0%0.000%0%-0.000000%-0.000000%-5.555556%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Armed Forces by Race#12

Percentage of each ethno-racial group's population 16 to 64 years of age in the armed forces.
Scope: population of Green Lake County and Berlin
Female Male
Green Lake County
Berlin
Shaded bar tips show excess over facing bar.
0.10%0.08%0.06%0.04%0.02%0.00%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%-0.117578%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment by Race#13

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Green Lake County and Berlin
Female Male
Green Lake County
Berlin
Shaded bar tips show excess over facing bar.
100%50%0%50%%WhiteHispanic1MixedOtherBlackAsian-70.985915%-73.015873%-70.985915%71.0%70.985915%5.658821%73.015873%4.376088%76.644737%76.6%73.912%73.9%-62.500000%-5.854430%-42.941176%-13.889425%-68.354430%68.4%62.500000%42.941176%62.500000%62.5%66.990%67.0%-0.000000%-100.000000%-74.193548%-14.695341%-100.000000%100.0%0.000000%74.193548%0.000000%0.0%100.000%100%-35.483871%-31.034483%-35.483871%35.5%35.483871%22.977667%31.034483%33.727422%58.461538%58.5%47.244%47.2%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%67.469880%0.000000%0.0%0.000%0%-0.000000%-0.000000%-100.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Map of Employment Status by Tract in Berlin

Both Parents Work Employment Status by Tract#14

Percentage of married families with children under the age of 18 present in which both parents work outside the home (%):
20.3%21.4%22.4%23.4%24.4%25.5%

Stay at Home Moms Employment Status by Tract#15

Percentage of married families with children under the age of 18 present in which the husband works outside the home and the wife stays at home (%):
5.0%6.3%7.5%8.8%10.0%11.3%

Stay at Home Dads Employment Status by Tract#16

Percentage of married families with children under the age of 18 present in which the wife works outside the home and the husband stays at home (%):
2.835%2.849%2.863%2.876%2.890%2.904%

Neither Parent Works Employment Status by Tract#17

Percentage of married families with children under the age of 18 present in which neither parent works outside the home (%):
0.00%0.36%0.72%1.08%1.44%1.81%

Employed Working-Age Men Employment Status by Tract#18

Percentage of male population aged 35 to 44 years old that are employed
77.5%79.6%81.6%83.6%85.6%87.6%
Road Data ©OpenStreetMap

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Employment Status by County Subdivision in Wisconsin

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

Employed Working-Age Men by County Subdivision#23

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Berlin, selected other county subdivisions in Wisconsin, and entities that contain Berlin
0%20%40%60%80%Count#MuskegoMequonGermantownNew BerlinOak CreekWest BendMenomonee FallsTown of Grand ChuteGrand ChuteStevens PointHowardDe PereOconomowocBrookfieldWauwatosaNeenahMount PleasantMt PleasantCaledoniaSun PrairieBerlin Area School DistrictBerlinManitowocMadisonAppletonBeaver DamMarshfieldWaukeshaMiddletonZIP Code 54923ZIP 54923South MilwaukeeS MilwaukeeWisconsin RapidsOnalaskaEau ClaireSheboyganWisconsinWest AllisGreenfieldJanesvilleMidwestUnited States of AmericaUnited StatesGreen Lake CountyGreen LakeMenomonieEast North CentralTown of MenashaMenashaFond du LacWausauPleasant PrairieKenoshaBerlinBerlinLa CrosseGreen BayCudahyMilwaukeeAshwaubenonBeloitFitchburgRacineSuperiorFranklinOshkosh98.058902%98.058902%98.1%1,465196.724138%96.724138%96.7%1,122296.606156%96.606156%96.6%1,224395.799458%95.799458%95.8%2,121494.341801%94.341801%94.3%2,451593.692565%93.692565%93.7%2,243693.540670%93.540670%93.5%1,955793.492209%93.492209%93.5%1,020893.407534%93.407534%93.4%1,091993.065998%93.065998%93.1%1,1141092.941999%92.941999%92.9%1,3301192.846154%92.846154%92.8%1,2071292.424942%92.424942%92.4%2,0011391.573927%91.573927%91.6%2,8801491.207349%91.207349%91.2%1,3901590.369800%90.369800%90.4%1,1731690.359712%90.359712%90.4%1,2561790.322581%90.322581%90.3%2,0441889.064559%89.064559%89.1%67688.790723%88.790723%88.8%1,6081988.756525%88.756525%88.8%13,26213.3k2088.514327%88.514327%88.5%3,6762188.347458%88.347458%88.3%8342287.915743%87.915743%87.9%7932387.752248%87.752248%87.8%4,3922487.537388%87.537388%87.5%8782587.244094%87.244094%87.2%55487.068966%87.068966%87.1%1,1112687.001024%87.001024%87.0%8502786.996904%86.996904%87.0%8432886.411830%86.411830%86.4%3,0972986.371047%86.371047%86.4%2,6493086.186197%86.186197%86.2%301,656302k85.839844%85.839844%85.8%3,5163184.992643%84.992643%85.0%1,7333284.875740%84.875740%84.9%3,5863384.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.619048%83.619048%83.6%87883.472454%83.472454%83.5%5003483.320331%83.320331%83.3%2,401,9262.40M83.119109%83.119109%83.1%9703582.684755%82.684755%82.7%2,3163682.453077%82.453077%82.5%1,8893782.231699%82.231699%82.2%1,1573881.179690%81.179690%81.2%5,3403980.904523%80.904523%80.9%32280.904523%80.904523%80.9%32280.587748%80.587748%80.6%1,9474079.275686%79.275686%79.3%4,9694178.614200%78.614200%78.6%9194278.119364%78.119364%78.1%27,72327.7k4377.018634%77.018634%77.0%7444476.950355%76.950355%77.0%1,5194576.824911%76.824911%76.8%1,5054676.630435%76.630435%76.6%3,9484774.801061%74.801061%74.8%1,1284872.924458%72.924458%72.9%1,9504970.366448%70.366448%70.4%3,32250
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in the Midwest

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

Employed Working-Age Men by County Subdivision#28

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Berlin, selected other county subdivisions in the Midwest, and entities that contain Berlin
0%20%40%60%80%Count#Overland ParkOlatheWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborBerlin Area School DistrictBerlinMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnFargoZIP Code 54923ZIP 54923Worth TownshipWorthCedar RapidsMinneapolisWisconsinProviso TownshipProvisoOmahaLawrence TownshipLawrenceWichitaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesGreen Lake CountyGreen LakeChicagoEast North CentralColumbusCapital TownshipCapitalWarrenKaw TownshipNorth TownshipNBerlinBerlinTopekaMilwaukeeGrand RapidsSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit93.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778291.560055%91.560055%91.6%9,948391.077773%91.077773%91.1%6,921490.865545%90.865545%90.9%8,157590.672074%90.672074%90.7%6,260690.604575%90.604575%90.6%6,654790.562660%90.562660%90.6%7,082890.366782%90.366782%90.4%6,529990.080764%90.080764%90.1%7,9191089.640761%89.640761%89.6%10,08110.1k1189.300338%89.300338%89.3%5,0161289.064559%89.064559%89.1%67688.756525%88.756525%88.8%13,26213.3k1388.717454%88.717454%88.7%7,3601488.706564%88.706564%88.7%8,2711588.477574%88.477574%88.5%7,0031687.982401%87.982401%88.0%6,9991787.795961%87.795961%87.8%15,12915.1k1887.656994%87.656994%87.7%6,0721987.244094%87.244094%87.2%55486.546302%86.546302%86.5%7,4302086.368701%86.368701%86.4%6,9762186.339842%86.339842%86.3%24,41024.4k2286.186197%86.186197%86.2%301,656302k86.115652%86.115652%86.1%8,4292386.096143%86.096143%86.1%24,28624.3k2485.843794%85.843794%85.8%6,1552585.168183%85.168183%85.2%19,85119.9k2684.507990%84.507990%84.5%3,510,6363.51M84.492648%84.492648%84.5%8,1022784.271268%84.271268%84.3%7,6672884.155952%84.155952%84.2%8,1162983.979482%83.979482%84.0%15,55315.6k3083.826751%83.826751%83.8%16,918,49516.9M83.619048%83.619048%83.6%87883.502988%83.502988%83.5%160,537161k3183.320331%83.320331%83.3%2,401,9262.40M83.115810%83.115810%83.1%45,27945.3k3282.023792%82.023792%82.0%5,5853381.783681%81.783681%81.8%6,4653481.379310%81.379310%81.4%9,2043581.018469%81.018469%81.0%7,5893680.904523%80.904523%80.9%32280.904523%80.904523%80.9%32280.647875%80.647875%80.6%5,7513778.119364%78.119364%78.1%27,72327.7k3877.964562%77.964562%78.0%8,5803977.165002%77.165002%77.2%15,53115.5k4075.508970%75.508970%75.5%7,4924175.413111%75.413111%75.4%12,45912.5k4274.964516%74.964516%75.0%6,8664373.599363%73.599363%73.6%12,00712.0k4471.832579%71.832579%71.8%8,2554569.122876%69.122876%69.1%6,9984666.098861%66.098861%66.1%6,3254764.663494%64.663494%64.7%4,7564864.097134%64.097134%64.1%13,62013.6k4958.323492%58.323492%58.3%22,22322.2k50
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in the United States

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

Employed Working-Age Men by County Subdivision#33

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Berlin, selected other county subdivisions in the United States, and entities that contain Berlin
0%20%40%60%80%Count#PlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityBerlin Area School DistrictBerlinTownship 1:Charlotte1, CharlotteNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoSeattleZIP Code 54923ZIP 54923Anaheim-Santa Ana-Garden GroveAnaheim-Santa An…TulsaWisconsinFort WorthSan DiegoSan Fernando ValleySan Fernando VlyManhattanSouthwest DallasSW DallasEast San Gabriel ValleyE San Gabriel VlyLong Beach-LakewoodLong Bch-LakewoodLos AngelesPhoenixWashingtonTampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesGreen Lake CountyGreen LakeChicagoEl PasoEast North CentralLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…AlbuquerqueBostonMiamiBerlinBerlinTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit93.125861%93.125861%93.1%38,54238.5k192.929857%92.929857%92.9%43,27043.3k292.587844%92.587844%92.6%37,54937.5k391.358362%91.358362%91.4%50,22750.2k490.463389%90.463389%90.5%122,150122k590.234987%90.234987%90.2%62,20862.2k689.558063%89.558063%89.6%63,34863.3k789.064559%89.064559%89.1%67688.885729%88.885729%88.9%53,13553.1k888.524499%88.524499%88.5%95,88095.9k988.135281%88.135281%88.1%47,89847.9k1087.849906%87.849906%87.8%40,92440.9k1187.683423%87.683423%87.7%143,173143k1287.620894%87.620894%87.6%208,826209k1387.587463%87.587463%87.6%63,96664.0k1487.270578%87.270578%87.3%70,13570.1k1587.244094%87.244094%87.2%55486.940737%86.940737%86.9%99,86199.9k1686.642310%86.642310%86.6%32,49032.5k1786.186197%86.186197%86.2%301,656302k86.152627%86.152627%86.2%47,84447.8k1886.039514%86.039514%86.0%138,398138k1985.753475%85.753475%85.8%111,910112k2085.725962%85.725962%85.7%102,788103k2185.460025%85.460025%85.5%57,28357.3k2285.286657%85.286657%85.3%50,77250.8k2385.186577%85.186577%85.2%34,01534.0k2485.164431%85.164431%85.2%166,723167k2585.138122%85.138122%85.1%176,814177k2684.835284%84.835284%84.8%39,14339.1k2784.549061%84.549061%84.5%36,87136.9k2884.507990%84.507990%84.5%3,510,6363.51M84.123947%84.123947%84.1%145,081145k2983.906583%83.906583%83.9%34,27534.3k3083.826751%83.826751%83.8%16,918,49516.9M83.619048%83.619048%83.6%87883.502988%83.502988%83.5%160,537161k3183.435482%83.435482%83.4%25,45725.5k3283.320331%83.320331%83.3%2,401,9262.40M83.264614%83.264614%83.3%110,463110k3383.115810%83.115810%83.1%45,27945.3k3483.010786%83.010786%83.0%37,01737.0k3582.905810%82.905810%82.9%36,84536.8k3682.351470%82.351470%82.4%32,93432.9k3782.260151%82.260151%82.3%33,06233.1k3881.570097%81.570097%81.6%57,48057.5k3980.904523%80.904523%80.9%32280.904523%80.904523%80.9%32280.378047%80.378047%80.4%40,09940.1k4079.983871%79.983871%80.0%33,72233.7k4179.851538%79.851538%79.9%34,63834.6k4279.525248%79.525248%79.5%56,35056.4k4379.087004%79.087004%79.1%41,61441.6k4478.119364%78.119364%78.1%27,72327.7k4577.746048%77.746048%77.7%65,61365.6k4675.839532%75.839532%75.8%31,09831.1k4774.017917%74.017917%74.0%26,60526.6k4873.120938%73.120938%73.1%66,83466.8k4958.323492%58.323492%58.3%22,22322.2k50
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 by percentage employed 35 to 44 year old men

Definitions

  • Armed Forces: persons on active duty in the Armed Forces
  • Employed: persons who did any work for pay during the survey week, those who did at least 15 hours of unpaid work in a family-owned enterprise operated by someone in their household, and those who were temporarily absent from their regular jobs
  • Unemployed: persons are classified as unemployed if they do not have a job, have actively looked for work in the prior 4 weeks, and are currently available for work
  • Not in Labor Force: not in the labor force are those who are not classified as employed or unemployed during the survey reference week
  • Working-Age Men: males aged 35 to 44 years old, the national peak employment age

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State:
Wisconsin
County:
Green Lake
City:
Berlin
ZIP Code:
54923
Unified School District:
Berlin
Congressional District:
WI-6
State Senate District:
WI-14
Assembly District:
WI-41
Neighboring Towns:
Aurora, Berlin
Nearby Towns:
Brooklyn, Nepeuskun, Poy Sippi, Ripon, Rushford, Seneca, St. Marie, Warren