Employment Status in the Silver Township, Carlton County, Minnesota (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Carlton County and the Silver Township
Silver Township
Carlton County
0%10%20%30%40%50%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.077816%055.211268%59.617289%55.211268%55.2%1964.225352%2.652801%4.225352%4.2%1540.563380%37.652094%40.563380%40.6%144
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 Carlton County and the Silver Township
Silver Township
Carlton County
40%20%0%20%40%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-52.551020%-5.939546%-52.551020%-5.939546%-58.490566%58.5%52.551020%52.551020%52.551020%52.6%93103-3.144654%-3.144654%-3.144654%3.1%3.144654%1.957387%3.144654%1.957387%5.102041%5.1%510-38.364780%-38.364780%-38.364780%38.4%38.364780%3.982159%38.364780%3.982159%42.346939%42.3%6183
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 the Silver Township
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%3.703704%0.000000%96.296296%96%10.000000%13.333333%13%0.000000%86.666667%87%20.000000%20.689655%21%0.000000%79.310345%79%60.000000%15.384615%15%0.000000%84.615385%85%40.000000%72.727273%73%0.000000%27.272727%27%80.000000%61.538462%62%0.000000%38.461538%38%240.000000%70.886076%71%2.531646%26.582278%27%560.000000%74.509804%75%5.882353%19.607843%20%380.000000%90.000000%90%0.000000%10.000000%10%180.000000%52.380952%52%47.619048%48%0.000000%110.000000%100.000000%100%0.000000%0.000000%130.000000%75.000000%75%0.000000%25.000000%25%60.000000%56.250000%56%0.000000%43.750000%44%90%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 the Silver Township
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1910.000%10.0%0.000%0%0.000%0%25.000%25.0%33.333%33.3%11.765%11.8%25.000%25.0%7.143%7.14%0.000%0%88.889%88.9%63.158%63.2%60.000%60.0%77.778%77.8%65.116%65.1%65.517%65.5%86.364%86.4%83.333%83.3%100.000%100%0.000%0%52.381%52.4%100.000%100%100.000%100%75.000%75.0%0.000%0%75.000%75.0%37.500%37.5%
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 Carlton County and the Silver Township
More Females More Males
Carlton County
Silver Township
1,000%500%0%M:FFM75+65-6962-6455-5945-5435-4430-3422-2420-2116-19-1,000.000000%0.000000%-1,000.000000%> 1000%0.000010-100.000000%-100.000000%100.0%20.754717%0.5000.5042-200.000000%-200.000000%200.0%41.284404%0.3330.33310.000000%0.000000%0.0%7.466063%1.0001.0012120.000000%0.000000%0.0%5.032713%1.0001.0028280.000000%0.000000%0.0%19.585113%1.0001.001919-25.000000%-25.000000%25.0%24.078624%0.8000.80108-7.038835%125.000000%125.000000%125.0%2.2502.2549-1,000.000000%-1,000.000000%> 1000%87.113402%0.000060-100.000000%-59.375000%-100.000000%100.0%0.5000.5063
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

Male Employment by Age#6

Percentage of male population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Carlton County.
Scope: population of Carlton County, the Silver Township, and selected other county subdivisions in Carlton Counties
Silver Township
Carlton County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000%0%25.000%25.0%11.765%11.8%7.143%7.14%88.889%88.9%60.000%60.0%65.116%65.1%86.364%86.4%100.000%100%52.381%52.4%100.000%100%0.000%0%37.500%37.5%
% employed percentage of male population in the Silver Township

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Carlton County.
Scope: population of Carlton County, the Silver Township, and selected other county subdivisions in Carlton Counties
Silver Township
Carlton County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1910.000%10.0%0.000%0%33.333%33.3%25.000%25.0%0.000%0%63.158%63.2%77.778%77.8%65.517%65.5%83.333%83.3%0.000%0%100.000%100%75.000%75.0%75.000%75.0%
% employed percentage of female population in the Silver Township

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Carlton County and the Silver Township
Silver Township
Carlton 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 …220.192308%29.969240%20.192308%20.2%210.961538%5.829793%0.961538%1.0%13.846154%1.318295%3.846154%3.8%41.923077%1.039988%1.923077%1.9%225.000000%26.776036%25.000000%25.0%267.692308%7.177384%7.692308%7.7%813.461538%7.821884%13.461538%13.5%1426.923077%20.067380%26.923077%26.9%28
1children under 18 present in the house 2no children under 18 present in the house

Employment among the Married With Children#9

Selected employment arrangements as a percentage of married couples with children under 18 present in the house.
Scope: households in Carlton County and the Silver Township
Silver Township
Carlton County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work75.000000%78.541267%75.000000%75.0%213.571429%15.278311%3.571429%3.6%114.285714%3.454894%14.285714%14.3%47.142857%2.725528%7.142857%7.1%2

Employment among the Married Without Children#10

Selected employment arrangements as a percentage of married couples without children under 18 present in the house.
Scope: households in Carlton County and the Silver Township
Silver Township
Carlton County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work34.210526%43.297016%34.210526%34.2%2610.526316%11.605874%10.526316%10.5%818.421053%12.648034%18.421053%18.4%1436.842105%32.449076%36.842105%36.8%28

Employment by Educational Attainment#11

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Carlton County and the Silver Township
Silver Township
Carlton County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.888889%82.984658%88.888889%88.9%1673.722628%77.700628%73.722628%73.7%10141.250000%67.486903%41.250000%41.3%3375.000000%50.830140%75.000000%75.0%9
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#12

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 Carlton County and the Silver Township
Female Male
Carlton County
Silver Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%%WhiteMixedHispanic1BlackAsianOther-33.613445%-25.002676%-33.613445%33.6%33.613445%2.570765%25.002676%1.494689%36.184211%36.2%35.055%35.1%-0.000000%-25.000000%-40.692641%-25.000000%25.0%0.000000%40.692641%21.223821%0.000000%0.0%22.222%22.2%-0.000000%-32.051282%-14.936670%0.000000%0.0%0.000000%0.000000%32.051282%0.000000%0.0%0.000%0%-0.000000%-45.454545%0.000000%0.0%0.000000%0.000000%45.454545%3.712121%0.000000%0.0%0.000%0%-0.000000%-17.391304%-5.685619%0.000000%0.0%0.000000%0.000000%17.391304%0.000000%0.0%0.000%0%-0.000000%-33.884298%0.000000%0.0%0.000000%0.000000%33.884298%12.719178%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Unemployment by Race#13

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Carlton County and the Silver Township
Female Male
Carlton County
Silver Township
Shaded bar tips show excess over facing bar.
25%20%15%10%5%0%5%10%%MixedWhiteHispanic1BlackAsianOther-0.000000%-25.000000%-8.658009%-25.000000%25.0%0.000000%8.658009%2.398502%0.000000%0.0%22.222%22.2%-2.521008%-1.905170%-2.521008%2.5%2.521008%4.057939%1.905170%2.167662%6.578947%6.6%4.797%4.80%-0.000000%-0.000000%-10.843373%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%2.898551%0.000000%0.0%0.000%0%-0.000000%-3.636364%0.000000%0.0%0.000000%0.000000%3.636364%2.208818%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Armed Forces by Race#14

Percentage of each ethno-racial group's population 16 to 64 years of age in the armed forces.
Scope: population of Carlton County and the Silver Township
Female Male
Carlton County
Silver Township
Shaded bar tips show excess over facing bar.
0.00%0.05%0.10%0.15%0.20%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.210829%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#15

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Carlton County and the Silver Township
Female Male
Carlton County
Silver Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%MixedWhiteHispanic1OtherBlackAsian-75.000000%-38.083538%-21.223821%-75.000000%75.0%75.000000%25.000000%38.083538%100.000000%100.0%77.778%77.8%-63.815789%-2.570765%-73.502635%-1.494689%-66.386555%66.4%63.815789%73.502635%63.815789%63.8%64.945%64.9%-0.000000%-53.012048%0.000000%0.0%0.000000%100.000000%53.012048%14.936670%100.000000%100.0%100.000%100%-0.000000%-100.000000%-53.396524%-12.719178%-100.000000%100.0%0.000000%53.396524%0.000000%0.0%100.000%100%-0.000000%-50.833333%-3.712121%0.000000%0.0%0.000000%0.000000%50.833333%0.000000%0.0%0.000%0%-0.000000%-76.923077%0.000000%0.0%0.000000%0.000000%76.923077%5.685619%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Map of Employment Status by Tract in the Silver Township

Both Parents Work Employment Status by Tract#16

Percentage of married families with children under the age of 18 present in which both parents work outside the home (%):
23.27%23.71%24.14%24.58%25.01%25.45%

Stay at Home Moms Employment Status by Tract#17

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 (%):
4.78%4.84%4.89%4.94%5.00%5.06%

Stay at Home Dads Employment Status by Tract#18

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 (%):
0.93%1.15%1.38%1.60%1.83%2.05%

Neither Parent Works Employment Status by Tract#19

Percentage of married families with children under the age of 18 present in which neither parent works outside the home (%):
0.26%0.38%0.50%0.62%0.74%0.86%

Employed Working-Age Men Employment Status by Tract#20

Percentage of male population aged 35 to 44 years old that are employed
59%65%70%76%82%88%
Road Data ©OpenStreetMap

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Employment Status by County Subdivision in the Duluth Area

There are 164 county subdivisions in the Duluth Area. This section compares the Silver Township to the 50 most populous county subdivisions in the Duluth Area and to those entities that contain or substantially overlap with the Silver Township. The least populous of the compared county subdivisions has a population of 887.

Employed Working-Age Men by County Subdivision#25

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Silver Township, selected other county subdivisions in the Duluth Area, and entities that contain the Silver Township
0%50%100%Count#Canosia TownshipCanosiaMakinenTown of AmniconAmniconTown of HawthorneHawthorneCarltonBarnum TownshipBarnumSand LakeTown of OaklandOaklandGnesen TownshipGnesenDuluth TownshipDuluthTown of SummitSummitMountain IronBabbittFredenberg TownshipFredenbergWhite TownshipWhiteBlackhoof TownshipBlackhoofSolway TownshipSolwayGilbertMidway TownshipMidwayTwin Lakes TownshipTwin LksRice LakeProctorPerch Lake TownshipPerch LkMinnesotaLakewood TownshipLakewoodLake NebagamonLk NebagamonWest North CentralThomson TownshipThomsonSilver TownshipSilverHibbingMidwestTown of Solon SpringsSolon SpgsUnited States of AmericaUnited StatesClinton TownshipClintonTown of SuperiorSuperiorDuluthFayal TownshipFayalHoyt LakesElyMorse TownshipMorseScanlonMoose Lake TownshipMoose LkDuluth Metro AreaDuluth AreaCloquetGrand Lake TownshipGrand LkCarlton CountyCarltonBrevator TownshipBrevatorEvelethChisholmVirginiaBiwabikSuperiorBuhlTown of ParklandParklandGreenwood TownshipGreenwoodHermantownMoose Lake100.000000%100.000000%100.0%1391100.000000%100.000000%100.0%842100.000000%100.000000%100.0%1253100.000000%100.000000%100.0%624100.000000%100.000000%100.0%415100.000000%100.000000%100.0%446100.000000%100.000000%100.0%94798.245614%98.245614%98.2%112897.222222%97.222222%97.2%105995.918367%95.918367%95.9%941095.522388%95.522388%95.5%641194.117647%94.117647%94.1%961294.000000%94.000000%94.0%471393.902439%93.902439%93.9%771493.785311%93.785311%93.8%1661592.500000%92.500000%92.5%741692.198582%92.198582%92.2%1301791.780822%91.780822%91.8%671891.269841%91.269841%91.3%1151991.056911%91.056911%91.1%1122091.044776%91.044776%91.0%3052189.162562%89.162562%89.2%1812289.062500%89.062500%89.1%572388.794416%88.794416%88.8%301,600302k88.000000%88.000000%88.0%882487.931034%87.931034%87.9%512587.200783%87.200783%87.2%1,108,7101.11M87.009063%87.009063%87.0%2882686.363636%86.363636%86.4%1985.747939%85.747939%85.7%7282784.507990%84.507990%84.5%3,510,6363.51M84.210526%84.210526%84.2%322883.826751%83.826751%83.8%16,918,49516.9M83.720930%83.720930%83.7%362982.926829%82.926829%82.9%1023082.776292%82.776292%82.8%3,7153182.608696%82.608696%82.6%953282.584270%82.584270%82.6%1473382.278481%82.278481%82.3%1953482.089552%82.089552%82.1%553581.818182%81.818182%81.8%363681.632653%81.632653%81.6%403781.523561%81.523561%81.5%13,13113.1k81.048868%81.048868%81.0%6803879.640719%79.640719%79.6%1333979.255964%79.255964%79.3%1,96077.142857%77.142857%77.1%544076.923077%76.923077%76.9%804175.829384%75.829384%75.8%1604275.243665%75.243665%75.2%3864375.000000%75.000000%75.0%94474.801061%74.801061%74.8%1,1284571.428571%71.428571%71.4%454668.750000%68.750000%68.8%774767.441860%67.441860%67.4%294861.190168%61.190168%61.2%4734937.254902%37.254902%37.3%13350
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 Minnesota

There are 2,761 county subdivisions in Minnesota. This section compares the Silver Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Silver Township. The least populous of the compared county subdivisions has a population of 22,226.

Employed Working-Age Men by County Subdivision#30

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Silver Township, selected other county subdivisions in Minnesota, and entities that contain the Silver Township
0%20%40%60%80%Count#Maple GroveRosemountChanhassenRamseyMinnetonkaBurnsvilleLakevilleAndoverWoodburySavageChaskaEden PrairiePlymouthShakopeeBlaineFarmingtonChamplinEaganPrior LakeApple ValleyWhite Bear LakeWhite Bear LkOwatonnaFridleyCrystalBrooklyn CenterBrooklyn CtrInver Grove HeightsInver Grv HtsEdinaMaplewoodBloomingtonShoreviewOakdaleRichfieldCoon RapidsElk RiverCottage GroveSt. Louis ParkSt. Louis PkRosevilleMinnesotaNew BrightonBrooklyn ParkWest North CentralMankatoRochesterSilver TownshipSilverMinneapolisMoorheadSt. CloudMidwestSt. PaulUnited States of AmericaUnited StatesDuluthDuluth Metro AreaDuluth AreaHastingsAustinWinonaCarlton CountyCarltonFaribault96.479013%96.479013%96.5%4,850196.430474%96.430474%96.4%1,810296.023857%96.023857%96.0%1,449395.924574%95.924574%95.9%1,577495.884774%95.884774%95.9%2,563595.631641%95.631641%95.6%3,240695.455568%95.455568%95.5%4,243795.150915%95.150915%95.2%1,923895.145631%95.145631%95.1%4,606994.981917%94.981917%95.0%2,1011094.419077%94.419077%94.4%1,8611194.335938%94.335938%94.3%3,8641293.324197%93.324197%93.3%4,7671393.319779%93.319779%93.3%3,2131493.207787%93.207787%93.2%4,4051592.913386%92.913386%92.9%2,0061692.828364%92.828364%92.8%1,1521792.746479%92.746479%92.7%3,9511892.634207%92.634207%92.6%1,4841992.573119%92.573119%92.6%2,8172092.044551%92.044551%92.0%1,1572191.548343%91.548343%91.5%1,3542291.320293%91.320293%91.3%1,4942391.229154%91.229154%91.2%1,4772490.859951%90.859951%90.9%1,8492590.696438%90.696438%90.7%1,7062690.399208%90.399208%90.4%2,7402790.174472%90.174472%90.2%1,9642890.105145%90.105145%90.1%4,7992989.929078%89.929078%89.9%1,2683089.469517%89.469517%89.5%1,1303189.370222%89.370222%89.4%2,4553289.211220%89.211220%89.2%3,7213389.067358%89.067358%89.1%1,7193488.983051%88.983051%89.0%2,2053588.862768%88.862768%88.9%3,0243688.826816%88.826816%88.8%1,7493788.794416%88.794416%88.8%301,600302k88.198758%88.198758%88.2%1,1363887.804395%87.804395%87.8%4,4353987.200783%87.200783%87.2%1,108,7101.11M87.124682%87.124682%87.1%1,7124086.429366%86.429366%86.4%6,2164186.363636%86.363636%86.4%1986.339842%86.339842%86.3%24,41024.4k4285.497238%85.497238%85.5%1,8574384.779051%84.779051%84.8%2,5904484.507990%84.507990%84.5%3,510,6363.51M83.979482%83.979482%84.0%15,55315.6k4583.826751%83.826751%83.8%16,918,49516.9M82.776292%82.776292%82.8%3,7154681.523561%81.523561%81.5%13,13113.1k80.957811%80.957811%81.0%1,4204779.741935%79.741935%79.7%1,2364879.398359%79.398359%79.4%8714979.255964%79.255964%79.3%1,96063.936928%63.936928%63.9%1,25750
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 the Silver Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Silver Township. The least populous of the compared county subdivisions has a population of 112,821.

Employed Working-Age Men by County Subdivision#35

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Silver Township, selected other county subdivisions in the Midwest, and entities that contain the Silver Township
0%20%40%60%80%Count#Overland ParkOlatheWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborMinnesotaMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnFargoWest North CentralWorth TownshipWorthCedar RapidsSilver TownshipSilverMinneapolisProviso TownshipProvisoOmahaLawrence TownshipLawrenceWichitaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoColumbusCapital TownshipCapitalWarrenDuluth Metro AreaDuluth AreaKaw TownshipNorth TownshipNTopekaCarlton CountyCarltonMilwaukeeGrand 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%5,0161288.794416%88.794416%88.8%301,600302k88.756525%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%6,0721987.200783%87.200783%87.2%1,108,7101.11M86.546302%86.546302%86.5%7,4302086.368701%86.368701%86.4%6,9762186.363636%86.363636%86.4%1986.339842%86.339842%86.3%24,41024.4k2286.115652%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%16,918,49516.9M83.502988%83.502988%83.5%160,537161k3183.115810%83.115810%83.1%45,27945.3k3282.023792%82.023792%82.0%5,5853381.783681%81.783681%81.8%6,4653481.523561%81.523561%81.5%13,13113.1k81.379310%81.379310%81.4%9,2043581.018469%81.018469%81.0%7,5893680.647875%80.647875%80.6%5,7513779.255964%79.255964%79.3%1,96078.119364%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 the Silver Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Silver Township. The least populous of the compared county subdivisions has a population of 547,300.

Employed Working-Age Men by County Subdivision#40

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Silver Township, selected other county subdivisions in the United States, and entities that contain the Silver Township
0%20%40%60%80%Count#PlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteMinnesotaNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoSeattleWest North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…TulsaSilver TownshipSilverFort WorthSan DiegoSan Fernando ValleySan Fernando VlyManhattanSouthwest DallasSW DallasEast San Gabriel ValleyE San Gabriel VlyLong Beach-LakewoodLong Bch-LakewoodLos AngelesPhoenixWashingtonTampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…AlbuquerqueBostonMiamiDuluth Metro AreaDuluth AreaTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoCarlton CountyCarltonSan 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%63,34863.3k788.885729%88.885729%88.9%53,13553.1k888.794416%88.794416%88.8%301,600302k88.524499%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%70,13570.1k1587.200783%87.200783%87.2%1,108,7101.11M86.940737%86.940737%86.9%99,86199.9k1686.642310%86.642310%86.6%32,49032.5k1786.363636%86.363636%86.4%1986.152627%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%16,918,49516.9M83.502988%83.502988%83.5%160,537161k3183.435482%83.435482%83.4%25,45725.5k3283.264614%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%57,48057.5k3981.523561%81.523561%81.5%13,13113.1k80.378047%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%56,35056.4k4379.255964%79.255964%79.3%1,96079.087004%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:
Minnesota
County:
Carlton
Metro Area:
Duluth Area
ZIP Codes:
55757, 55767
Unified School Districts:
Barnum, Moose Lake
Congressional District:
MN-8
State Senate District:
MN-11
State House District:
MN-11A
Neighboring Cities:
Kettle River, Moose Lake
Neighboring Townships:
Automba, Birch Creek, Kalevala, Moose Lake, Skelton, Split Rock, Sturgeon Lake, Windemere
Nearby Townships:
Barnum, Beaver, Eagle, Kettle River, Lakeview, Mahtowa