Ancestry in the Mount Pleasant Township, Wabasha County, Minnesota (Township)

European and African Ancestry#1

Self-reported anscestry as a percentage of the total population; more than one answer per person permitted.
Scope: population of Wabasha County and the Mount Pleasant Township
Mount Pleasant Township
Wabasha County
0%10%20%30%40%50%CountGermanNorwegianUnclassified1IrishSwedishAmericanEuropeanOther2FrenchEnglishCzechPolishSwissDutchSloveneAustrian52.122642%51.085479%52.122642%52.1%22117.452830%16.476767%17.452830%17.5%7415.801887%14.094809%15.801887%15.8%679.433962%14.652788%9.433962%9.4%408.490566%4.201247%8.490566%8.5%365.896226%3.708914%5.896226%5.9%254.716981%1.434801%4.716981%4.7%203.301887%8.608806%3.301887%3.3%142.830189%2.813335%2.830189%2.8%122.358491%5.509448%2.358491%2.4%101.886792%0.604867%1.886792%1.9%81.886792%3.174380%1.886792%1.9%81.886792%0.979978%1.886792%1.9%81.650943%2.039668%1.650943%1.7%71.415094%0.065644%1.415094%1.4%60.943396%0.211000%0.943396%0.9%4
Count number of people reporting given ancestry
1and unreported 2includes Hispanics and Asians

Ancestry by County Subdivision in the Rochester Area

There are 110 county subdivisions in the Rochester Area. This section compares the Mount Pleasant Township to the 50 most populous county subdivisions in the Rochester Area and to those entities that contain or substantially overlap with the Mount Pleasant Township. The least populous of the compared county subdivisions has a population of 564.

German Ancestry by County Subdivision#2

Percentage of the total population.
Scope: population of the Mount Pleasant Township, selected other county subdivisions in the Rochester Area, and entities that contain the Mount Pleasant Township
0%20%40%60%Count#Pine IslandEyotaGreenfield TownshipGreenfieldElginElgin TownshipElginGillford TownshipGillfordZIP Code 55041ZIP 55041Lake City Public School DistrictLake CityMount Pleasant TownshipMt Pleasant490400Tract 490400Mazeppa TownshipMazeppaWabasha CountyWabashaLake CityChatfieldPlainviewHaverhill TownshipHaverhillMazeppaMantorville TownshipMantorvilleNew Haven TownshipNew HvnOronocoCanisteo TownshipCanisteoMarion TownshipMarionStewartvilleDoverZumbro TownshipZumbroWest ConcordHigh Forest TownshipHigh FrstOrion TownshipOrionPrestonChatfieldSalem TownshipSalemByronSpring ValleyKalmar TownshipKalmarMantorvilleWabashaConcord TownshipConcordWasioja TownshipWasiojaHayfieldOronoco TownshipOronocoPleasant Grove TownshipPleasant GrvVernon TownshipVernonDodge CenterRochester Metro AreaRochesterHarmonyRushford VillageRushford VlgRushfordCascade TownshipCascadeKassonRock Dell TownshipRock DellRochester TownshipRochesterMinnesotaMilton TownshipMiltonClaremontRochesterWest North CentralMabelMidwestLanesboroUnited States of AmericaUnited States65.589888%65.589888%65.6%467157.597685%57.597685%57.6%1,194255.861071%55.861071%55.9%772355.234955%55.234955%55.2%670453.867792%53.867792%53.9%383553.546099%53.546099%53.5%302652.732741%52.732741%52.7%4,03352.450529%52.450529%52.5%4,55952.122642%52.122642%52.1%22151.714678%51.714678%51.7%2,26251.086957%51.086957%51.1%376751.085479%51.085479%51.1%10,89510.9k50.990566%50.990566%51.0%2,162849.762752%49.762752%49.8%839949.739822%49.739822%49.7%1,6251049.518922%49.518922%49.5%7721149.187935%49.187935%49.2%4241248.783014%48.783014%48.8%9421347.637051%47.637051%47.6%5041446.605744%46.605744%46.6%7141546.543779%46.543779%46.5%3031646.484479%46.484479%46.5%1,7521745.496536%45.496536%45.5%2,7581845.432400%45.432400%45.4%3731945.234708%45.234708%45.2%3182044.806008%44.806008%44.8%3582144.796003%44.796003%44.8%5382244.329897%44.329897%44.3%3012344.323933%44.323933%44.3%6132443.700441%43.700441%43.7%4962543.229605%43.229605%43.2%5142643.151609%43.151609%43.2%2,2402741.778866%41.778866%41.8%1,0242841.510967%41.510967%41.5%5112941.347905%41.347905%41.3%4543041.178737%41.178737%41.2%1,0693140.418118%40.418118%40.4%2323239.485459%39.485459%39.5%3533338.796992%38.796992%38.8%5163438.785504%38.785504%38.8%7923538.576779%38.576779%38.6%3093638.338192%38.338192%38.3%2633737.828825%37.828825%37.8%1,0213837.343007%37.343007%37.3%79,41779.4k37.213930%37.213930%37.2%3743936.859324%36.859324%36.9%3384036.804124%36.804124%36.8%7144136.583655%36.583655%36.6%1,0434236.350317%36.350317%36.4%2,2334335.236542%35.236542%35.2%2164434.417178%34.417178%34.4%5614533.835877%33.835877%33.8%1,844,3491.84M32.642487%32.642487%32.6%2524631.655844%31.655844%31.7%1954731.227333%31.227333%31.2%34,78634.8k4830.983523%30.983523%31.0%6,501,5456.50M29.069767%29.069767%29.1%2254926.178390%26.178390%26.2%17,716,61317.7M23.150685%23.150685%23.2%1695014.402193%14.402193%14.4%45,879,36045.9M
Count number of people reporting 'German' ancestry
# rank of county subdivision out of 50 by percentage reporting 'German' anscestry

Ancestry by County Subdivision in Minnesota

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

German Ancestry by County Subdivision#17

Percentage of the total population.
Scope: population of the Mount Pleasant Township, selected other county subdivisions in Minnesota, and entities that contain the Mount Pleasant Township
0%10%20%30%40%50%Count#ZIP Code 55041ZIP 55041Lake City Public School DistrictLake CityMount Pleasant TownshipMt Pleasant490400Tract 490400Wabasha CountyWabashaMankatoHastingsWinonaOwatonnaChaskaChanhassenSt. CloudElk RiverFarmingtonCottage GroveAndoverLakevilleRosemountRochester Metro AreaRochesterPrior LakeApple ValleyInver Grove HeightsInver Grv HtsOakdaleMoorheadMinnesotaShoreviewFaribaultEaganSavageRamseyBlaineWhite Bear LakeWhite Bear LkAustinShakopeeChamplinWoodburyMaple GroveRochesterNew BrightonWest North CentralEden PrairieCoon RapidsRosevilleMinnetonkaBloomingtonSt. Louis ParkSt. Louis PkPlymouthMaplewoodBurnsvilleCrystalMidwestEdinaFridleyDuluthRichfieldMinneapolisSt. PaulBrooklyn ParkUnited States of AmericaUnited StatesBrooklyn CenterBrooklyn Ctr52.732741%52.732741%52.7%4,03352.450529%52.450529%52.5%4,55952.122642%52.122642%52.1%22151.714678%51.714678%51.7%2,26251.085479%51.085479%51.1%10,89510.9k44.518337%44.518337%44.5%18,20818.2k142.762544%42.762544%42.8%9,622240.464708%40.464708%40.5%11,07611.1k340.414386%40.414386%40.4%10,33810.3k439.775899%39.775899%39.8%9,975539.103081%39.103081%39.1%9,696639.079682%39.079682%39.1%20,79020.8k738.634545%38.634545%38.6%9,173838.279492%38.279492%38.3%8,508938.218455%38.218455%38.2%13,61813.6k1037.670031%37.670031%37.7%12,01912.0k1137.627538%37.627538%37.6%22,49622.5k1237.443179%37.443179%37.4%8,6491337.343007%37.343007%37.3%79,41779.4k36.696404%36.696404%36.7%9,1731435.204142%35.204142%35.2%17,81417.8k1534.513911%34.513911%34.5%11,99612.0k1634.125054%34.125054%34.1%9,5401734.002081%34.002081%34.0%14,05014.1k1833.835877%33.835877%33.8%1,844,3491.84M33.656970%33.656970%33.7%8,8051933.633659%33.633659%33.6%7,9142033.592920%33.592920%33.6%22,12922.1k2133.501139%33.501139%33.5%9,8492233.285957%33.285957%33.3%8,4312333.032184%33.032184%33.0%20,21920.2k2432.952327%32.952327%33.0%8,1012532.394026%32.394026%32.4%8,0472632.282631%32.282631%32.3%12,80212.8k2732.032262%32.032262%32.0%7,6652831.618165%31.618165%31.6%21,08921.1k2931.598202%31.598202%31.6%21,16121.2k3031.227333%31.227333%31.2%34,78634.8k3131.124904%31.124904%31.1%6,9203230.983523%30.983523%31.0%6,501,5456.50M30.264532%30.264532%30.3%19,12919.1k3329.981177%29.981177%30.0%18,63618.6k3429.885970%29.885970%29.9%10,53610.5k3529.546379%29.546379%29.5%15,26115.3k3629.146685%29.146685%29.1%24,79824.8k3728.880091%28.880091%28.9%13,71413.7k3828.381599%28.381599%28.4%21,31621.3k3928.365845%28.365845%28.4%11,25511.3k4028.331535%28.331535%28.3%17,32717.3k4126.825306%26.825306%26.8%6,1104226.178390%26.178390%26.2%17,716,61317.7M26.120538%26.120538%26.1%13,05413.1k4326.097570%26.097570%26.1%7,1634424.914117%24.914117%24.9%21,46721.5k4524.780018%24.780018%24.8%8,8994622.341661%22.341661%22.3%90,41090.4k4721.144501%21.144501%21.1%62,83362.8k4818.408333%18.408333%18.4%14,51014.5k4914.402193%14.402193%14.4%45,879,36045.9M14.221212%14.221212%14.2%4,37850
Count number of people reporting 'German' ancestry
# rank of county subdivision out of 50 by percentage reporting 'German' anscestry

Ancestry by County Subdivision in the Midwest

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

German Ancestry by County Subdivision#32

Percentage of the total population.
Scope: population of the Mount Pleasant Township, selected other county subdivisions in the Midwest, and entities that contain the Mount Pleasant Township
0%10%20%30%40%50%Count#ZIP Code 55041ZIP 55041Lake City Public School DistrictLake CityMount Pleasant TownshipMt Pleasant490400Tract 490400Wabasha CountyWabashaFargoRochester Metro AreaRochesterLincolnSioux FallsCedar RapidsMinnesotaMadisonWest North CentralOlatheOverland ParkOmahaMidwestTopekaMilton TownshipMiltonCapital TownshipCapitalToledoMinneapolisYork TownshipSpringfield TownshipSpringfieldWichitaSt. PaulLisle TownshipLislePalatine TownshipPalatineRockford TownshipRockfordCincinnatiWashington TownshipWashingtonDowners Grove TownshipDowners GrvColumbusWheeling TownshipWheelingAnn ArborKaw TownshipMilwaukeeSchaumburg TownshipSchaumburgWarrenLawrence TownshipLawrenceAkronBloomingdale TownshipBloomingdaleSterling HeightsSterling HtsSt. LouisDaytonGrand RapidsWorth TownshipWorthUnited States of AmericaUnited StatesMaine TownshipMaineBlue TownshipWayne TownshipWayneCenter TownshipCtrKansas CityNorth TownshipNAurora TownshipAuroraClevelandProviso TownshipProvisoChicagoThornton TownshipThorntonDetroit52.732741%52.732741%52.7%4,03352.450529%52.450529%52.5%4,55952.122642%52.122642%52.1%22151.714678%51.714678%51.7%2,26251.085479%51.085479%51.1%10,89510.9k39.448038%39.448038%39.4%45,74045.7k137.343007%37.343007%37.3%79,41779.4k37.022467%37.022467%37.0%101,078101k235.624160%35.624160%35.6%51,13151.1k334.744513%34.744513%34.7%45,00745.0k433.835877%33.835877%33.8%1,844,3491.84M33.677053%33.677053%33.7%82,85782.9k530.983523%30.983523%31.0%6,501,5456.50M27.114100%27.114100%27.1%36,00436.0k626.806693%26.806693%26.8%49,26449.3k726.271351%26.271351%26.3%116,401116k826.178390%26.178390%26.2%17,716,61317.7M24.210023%24.210023%24.2%30,86130.9k923.925085%23.925085%23.9%28,33428.3k1022.907686%22.907686%22.9%26,67626.7k1122.481076%22.481076%22.5%63,13963.1k1222.341661%22.341661%22.3%90,41090.4k1321.831081%21.831081%21.8%27,38627.4k1421.208323%21.208323%21.2%35,02335.0k1521.145367%21.145367%21.1%82,05182.1k1621.144501%21.144501%21.1%62,83362.8k1720.928672%20.928672%20.9%24,94324.9k1819.694187%19.694187%19.7%22,41122.4k1919.672592%19.672592%19.7%34,28534.3k2019.461027%19.461027%19.5%57,99658.0k2119.377859%19.377859%19.4%26,39426.4k2219.284687%19.284687%19.3%28,69628.7k2319.207346%19.207346%19.2%157,317157k2418.240179%18.240179%18.2%28,27128.3k2517.734382%17.734382%17.7%20,94220.9k2617.471385%17.471385%17.5%29,99430.0k2717.326349%17.326349%17.3%103,728104k2817.100391%17.100391%17.1%22,58522.6k2916.995017%16.995017%17.0%22,95523.0k3016.362001%16.362001%16.4%20,01420.0k3116.146453%16.146453%16.1%32,05232.1k3215.925227%15.925227%15.9%17,96718.0k3315.801145%15.801145%15.8%20,80620.8k3415.564345%15.564345%15.6%49,18849.2k3515.437535%15.437535%15.4%21,78921.8k3615.425480%15.425480%15.4%29,90829.9k3714.971933%14.971933%15.0%22,88422.9k3814.402193%14.402193%14.4%45,879,36045.9M14.293356%14.293356%14.3%19,50619.5k3913.599244%13.599244%13.6%21,44921.4k4012.476612%12.476612%12.5%17,60417.6k4112.307117%12.307117%12.3%18,10518.1k4211.747187%11.747187%11.7%17,59217.6k4311.626997%11.626997%11.6%18,41618.4k4410.437835%10.437835%10.4%15,46015.5k459.364151%9.364151%9.4%36,44236.4k468.498675%8.498675%8.5%12,89312.9k477.437499%7.437499%7.4%201,855202k483.956709%3.956709%4.0%6,705491.703580%1.703580%1.7%11,64311.6k50
Count number of people reporting 'German' ancestry
# rank of county subdivision out of 50 by percentage reporting 'German' anscestry

Ancestry by County Subdivision in the United States

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

German Ancestry by County Subdivision#47

Percentage of the total population.
Scope: population of the Mount Pleasant Township, selected other county subdivisions in the United States, and entities that contain the Mount Pleasant Township
0%20%40%Count#ZIP Code 55041ZIP 55041Lake City Public School DistrictLake CityMount Pleasant TownshipMt Pleasant490400Tract 490400Wabasha CountyWabashaRochester Metro AreaRochesterMinnesotaWest North CentralMidwestColumbusMilwaukeeSeattleTulsaDenverUnited States of AmericaUnited StatesNortheast TarrantNE TarrantTucsonSeattle EastPhoenixPlanoNorthwest HarrisNW HarrisOceanside-EscondidoOceanside-Escond…Salt Lake CitySalt Lk CityAustinSacramentoSan DiegoAlbuquerqueLas VegasTownship 1:Charlotte1, CharlotteTampaFresnoTown of HempsteadHempsteadFort WorthSan FranciscoNortheast DallasNE DallasChicagoOrlandoWashingtonPhiladelphiaOntarioBaltimoreSan JoseManhattanAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…Long Beach-LakewoodLong Bch-LakewoodAtlantaHoustonSan BernardinoSan Fernando ValleySan Fernando VlyBostonSan Antonio CentralSan Antonio CntrlEast San Gabriel ValleyE San Gabriel VlyLos AngelesSouthwest DallasSW DallasEl PasoQueensBrooklynMiamiDetroitBronx52.732741%52.732741%52.7%4,03352.450529%52.450529%52.5%4,55952.122642%52.122642%52.1%22151.714678%51.714678%51.7%2,26251.085479%51.085479%51.1%10,89510.9k37.343007%37.343007%37.3%79,41779.4k33.835877%33.835877%33.8%1,844,3491.84M30.983523%30.983523%31.0%6,501,5456.50M26.178390%26.178390%26.2%17,716,61317.7M19.207346%19.207346%19.2%157,317157k117.326349%17.326349%17.3%103,728104k214.676197%14.676197%14.7%153,190153k314.630148%14.630148%14.6%86,65186.7k414.440912%14.440912%14.4%95,78795.8k514.402193%14.402193%14.4%45,879,36045.9M14.399675%14.399675%14.4%82,49382.5k614.283867%14.283867%14.3%124,819125k713.760180%13.760180%13.8%80,69380.7k812.788918%12.788918%12.8%407,453407k912.395761%12.395761%12.4%67,84267.8k1011.362892%11.362892%11.4%85,02085.0k1111.299178%11.299178%11.3%74,46074.5k1210.757316%10.757316%10.8%105,926106k1310.720012%10.720012%10.7%92,07392.1k1410.156382%10.156382%10.2%113,785114k159.800360%9.800360%9.8%233,252233k169.725412%9.725412%9.7%62,46062.5k179.549359%9.549359%9.5%178,569179k189.423318%9.423318%9.4%76,21976.2k198.847564%8.847564%8.8%58,95359.0k208.684101%8.684101%8.7%60,11160.1k218.514416%8.514416%8.5%65,45165.5k228.072263%8.072263%8.1%68,77168.8k237.811291%7.811291%7.8%66,41866.4k247.630150%7.630150%7.6%118,042118k257.437499%7.437499%7.4%201,855202k267.159705%7.159705%7.2%41,70741.7k276.978205%6.978205%7.0%45,98746.0k286.959315%6.959315%7.0%108,561109k296.951180%6.951180%7.0%44,75144.8k306.862802%6.862802%6.9%42,61842.6k316.496309%6.496309%6.5%114,123114k326.378636%6.378636%6.4%104,290104k336.251974%6.251974%6.3%106,112106k346.200567%6.200567%6.2%35,84335.8k355.638608%5.638608%5.6%32,70932.7k365.629362%5.629362%5.6%185,963186k374.918768%4.918768%4.9%41,25741.3k384.864383%4.864383%4.9%89,55389.6k394.573137%4.573137%4.6%30,10430.1k404.544632%4.544632%4.5%31,88331.9k414.201872%4.201872%4.2%40,19740.2k424.106705%4.106705%4.1%105,736106k433.775646%3.775646%3.8%36,47336.5k443.092438%3.092438%3.1%16,96117.0k452.458646%2.458646%2.5%56,79556.8k462.310641%2.310641%2.3%60,23560.2k471.869818%1.869818%1.9%18,00318.0k481.703580%1.703580%1.7%11,64311.6k490.928044%0.928044%0.9%13,33413.3k50
Count number of people reporting 'German' ancestry
# rank of county subdivision out of 50 by percentage reporting 'German' anscestry

Definitions

This page discusses the self-reported ancestry of the residents of the Mount Pleasant Township. Respondents were not limited to one ancestry, so if a person reported both English and German, then they would be counted in both categories. Consequently, the sum of the counts over all the ancestries most often exceeds the total population of the entity. Asian and Hispanic ancestry is reported separately from European, Middle Eastern, and Subsaharan African ancestry. A full list of all possible categories is as follows:

  • European, Middle Eastern, and Subsaharan African Ancestries: Afghan, Albanian, Alsatian, American, Arab, Egyptian, Iraqi, Jordanian, Lebanese, Moroccan, Palestinian, Syrian, Arab, Other Arab, Armenian, Assyrian/Chaldean/Syriac, Australian, Austrian, Basque, Belgian, Brazilian, British, Bulgarian, Cajun, Canadian, Carpatho Rusyn, Celtic, Croatian, Cypriot, Czech, Czechoslovakian, Danish, Dutch, Eastern European, English, Estonian, European, Finnish, French, French Canadian, German, German Russian, Greek, Guyanese, Hungarian, Icelander, Iranian, Irish, Israeli, Italian, Latvian, Lithuanian, Luxemburger, Macedonian, Maltese, New Zealander, Northern European, Norwegian, Pennsylvania German, Polish, Portuguese, Romanian, Russian, Scandinavian, Scotch-Irish, Scottish, Serbian, Slavic, Slovak, Slovene, Soviet Union, Subsaharan African, Cape Verdean, Ethiopian, Ghanaian, Kenyan, Liberian, Nigerian, Senegalese, Sierra Leonean, Somali, South African, Sudanese, Ugandan, Zimbabwean, African, Other, Swedish, Swiss, Turkish, Ukrainian, Welsh, West Indian, Bahamian, Barbadian, Belizean, Bermudan, British West Indian, Dutch West Indian, Haitian, Jamaican, Trinidadian and Tobagonian, U.S. Virgin Islander, West Indian, Other West Indian, Yugoslavian, Other, and Unclassified
  • Asian Ancestries: Indian, Bangladeshi, Bhutanese, Burmese, Cambodian, Chinese, Filipino, Hmong, Indonesian, Japanese, Korean, Laotian, Malaysian, Mongolian, Nepalese, Okinawan, Pakistani, Sri Lankan, Taiwanese, Thai, Vietnamese, Other, Not Specified, and Mixed
  • Hispanic Ancestries: Mexican, Puerto Rican, Cuban, Dominican, Central American, Costa Rican, Guatemalan, Honduran, Nicaraguan, Panamanian, Salvadoran, Other Central American, South American, Argentinean, Bolivian, Chilean, Colombian, Ecuadorian, Paraguayan, Peruvian, Uruguayan, Venezuelan, Other South American, Other Hispanic, Spaniard, Spanish, and Spanish American

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

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State:
Minnesota
County:
Wabasha
Metro Area:
Rochester Area
ZIP Code:
55041
Unified School District:
Lake City
Congressional District:
MN-2
State Senate District:
MN-21
State House District:
MN-21A
Neighboring Cities:
Lake City
Neighboring Townships:
Belvidere, Chester, Florence, Gillford, Hay Creek, Lake, West Albany
Nearby Towns:
Pepin, Stockholm
Nearby Townships:
Wacouta