Pennsylvania German vs Peruvian Community Comparison

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Pennsylvania German
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Peruvian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Pennsylvania Germans

Peruvians

Fair
Average
3,991
SOCIAL INDEX
37.4/ 100
SOCIAL RATING
207th/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Pennsylvania German Communities

The statistical analysis conducted on geographies consisting of 176,527,482 people shows a poor positive correlation between the proportion of Peruvians within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.127. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.004% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 4.3 Peruvians.
Pennsylvania German Integration in Peruvian Communities

Pennsylvania German vs Peruvian Income

When considering income, the most significant differences between Pennsylvania German and Peruvian communities in the United States are seen in wage/income gap (30.7% compared to 25.6%, a difference of 19.9%), median household income ($75,814 compared to $90,261, a difference of 19.1%), and householder income over 65 years ($52,888 compared to $62,766, a difference of 18.7%). Conversely, both communities are more comparable in terms of median male earnings ($50,878 compared to $55,659, a difference of 9.4%), householder income under 25 years ($50,852 compared to $56,052, a difference of 10.2%), and median earnings ($42,615 compared to $47,628, a difference of 11.8%).
Pennsylvania German vs Peruvian Income
Income MetricPennsylvania GermanPeruvian
Per Capita Income
Tragic
$37,842
Good
$44,479
Median Family Income
Tragic
$91,763
Excellent
$105,444
Median Household Income
Tragic
$75,814
Exceptional
$90,261
Median Earnings
Tragic
$42,615
Excellent
$47,628
Median Male Earnings
Tragic
$50,878
Good
$55,659
Median Female Earnings
Tragic
$34,802
Good
$40,234
Householder Age | Under 25 years
Tragic
$50,852
Exceptional
$56,052
Householder Age | 25 - 44 years
Tragic
$85,836
Exceptional
$98,886
Householder Age | 45 - 64 years
Tragic
$91,956
Exceptional
$105,070
Householder Age | Over 65 years
Tragic
$52,888
Excellent
$62,766
Wage/Income Gap
Tragic
30.7%
Good
25.6%

Pennsylvania German vs Peruvian Poverty

When considering poverty, the most significant differences between Pennsylvania German and Peruvian communities in the United States are seen in single male poverty (15.6% compared to 11.8%, a difference of 32.1%), single father poverty (20.0% compared to 15.4%, a difference of 29.8%), and child poverty under the age of 5 (19.8% compared to 16.0%, a difference of 23.6%). Conversely, both communities are more comparable in terms of family poverty (8.8% compared to 8.8%, a difference of 0.31%), female poverty (13.2% compared to 12.9%, a difference of 2.6%), and receiving food stamps (11.4% compared to 11.7%, a difference of 2.9%).
Pennsylvania German vs Peruvian Poverty
Poverty MetricPennsylvania GermanPeruvian
Poverty
Good
12.2%
Excellent
11.8%
Families
Good
8.8%
Good
8.8%
Males
Average
11.2%
Excellent
10.7%
Females
Good
13.2%
Excellent
12.9%
Females 18 to 24 years
Excellent
19.7%
Exceptional
17.2%
Females 25 to 34 years
Tragic
15.4%
Exceptional
12.7%
Children Under 5 years
Tragic
19.8%
Exceptional
16.0%
Children Under 16 years
Tragic
17.4%
Excellent
15.3%
Boys Under 16 years
Tragic
17.9%
Excellent
15.5%
Girls Under 16 years
Tragic
17.8%
Exceptional
15.4%
Single Males
Tragic
15.6%
Exceptional
11.8%
Single Females
Tragic
23.6%
Exceptional
19.4%
Single Fathers
Tragic
20.0%
Exceptional
15.4%
Single Mothers
Tragic
33.2%
Exceptional
27.5%
Married Couples
Good
5.1%
Fair
5.3%
Seniors Over 65 years
Exceptional
9.9%
Tragic
11.7%
Seniors Over 75 years
Excellent
11.8%
Tragic
13.4%
Receiving Food Stamps
Good
11.4%
Average
11.7%

Pennsylvania German vs Peruvian Unemployment

When considering unemployment, the most significant differences between Pennsylvania German and Peruvian communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.5%, a difference of 43.1%), unemployment among women with children ages 6 to 17 years (11.0% compared to 9.2%, a difference of 20.0%), and unemployment (4.6% compared to 5.3%, a difference of 15.7%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.7% compared to 4.7%, a difference of 0.10%), unemployment among seniors over 65 years (5.4% compared to 5.3%, a difference of 1.2%), and unemployment among women with children under 18 years (5.7% compared to 5.6%, a difference of 1.4%).
Pennsylvania German vs Peruvian Unemployment
Unemployment MetricPennsylvania GermanPeruvian
Unemployment
Exceptional
4.6%
Fair
5.3%
Males
Exceptional
4.8%
Average
5.3%
Females
Exceptional
4.8%
Tragic
5.4%
Youth < 25
Exceptional
10.6%
Poor
11.8%
Age | 16 to 19 years
Exceptional
16.2%
Fair
17.7%
Age | 20 to 24 years
Exceptional
10.0%
Poor
10.5%
Age | 25 to 29 years
Tragic
7.4%
Good
6.6%
Age | 30 to 34 years
Tragic
6.3%
Average
5.5%
Age | 35 to 44 years
Average
4.7%
Average
4.7%
Age | 45 to 54 years
Exceptional
4.3%
Fair
4.6%
Age | 55 to 59 years
Excellent
4.7%
Fair
4.8%
Age | 60 to 64 years
Excellent
4.8%
Tragic
5.0%
Age | 65 to 74 years
Tragic
5.8%
Tragic
5.5%
Seniors > 65
Tragic
5.4%
Tragic
5.3%
Seniors > 75
Tragic
10.2%
Tragic
9.0%
Women w/ Children < 6
Tragic
10.8%
Good
7.5%
Women w/ Children 6 to 17
Tragic
11.0%
Tragic
9.2%
Women w/ Children < 18
Tragic
5.7%
Poor
5.6%

Pennsylvania German vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Pennsylvania German and Peruvian communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 34.6%, a difference of 34.2%), in labor force | age > 16 (63.4% compared to 66.3%, a difference of 4.6%), and in labor force | age 20-24 (78.0% compared to 74.5%, a difference of 4.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 84.7%, a difference of 1.4%), in labor force | age 45-54 (81.6% compared to 83.6%, a difference of 2.4%), and in labor force | age 20-64 (78.4% compared to 80.3%, a difference of 2.4%).
Pennsylvania German vs Peruvian Labor Participation
Labor Participation MetricPennsylvania GermanPeruvian
In Labor Force | Age > 16
Tragic
63.4%
Exceptional
66.3%
In Labor Force | Age 20-64
Tragic
78.4%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
46.4%
Tragic
34.6%
In Labor Force | Age 20-24
Exceptional
78.0%
Poor
74.5%
In Labor Force | Age 25-29
Tragic
83.6%
Good
84.7%
In Labor Force | Age 30-34
Tragic
82.6%
Good
84.8%
In Labor Force | Age 35-44
Tragic
82.9%
Exceptional
84.9%
In Labor Force | Age 45-54
Tragic
81.6%
Exceptional
83.6%

Pennsylvania German vs Peruvian Family Structure

When considering family structure, the most significant differences between Pennsylvania German and Peruvian communities in the United States are seen in single mother households (5.8% compared to 6.5%, a difference of 12.4%), births to unmarried women (34.0% compared to 31.5%, a difference of 7.9%), and currently married (49.6% compared to 46.6%, a difference of 6.3%). Conversely, both communities are more comparable in terms of divorced or separated (12.1% compared to 11.9%, a difference of 1.3%), family households (66.1% compared to 67.1%, a difference of 1.5%), and single father households (2.4% compared to 2.4%, a difference of 2.8%).
Pennsylvania German vs Peruvian Family Structure
Family Structure MetricPennsylvania GermanPeruvian
Family Households
Exceptional
66.1%
Exceptional
67.1%
Family Households with Children
Fair
27.4%
Exceptional
29.0%
Married-couple Households
Exceptional
50.4%
Exceptional
47.6%
Average Family Size
Tragic
3.19
Exceptional
3.30
Single Father Households
Tragic
2.4%
Fair
2.4%
Single Mother Households
Exceptional
5.8%
Fair
6.5%
Currently Married
Exceptional
49.6%
Average
46.6%
Divorced or Separated
Average
12.1%
Excellent
11.9%
Births to Unmarried Women
Tragic
34.0%
Average
31.5%

Pennsylvania German vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Pennsylvania German and Peruvian communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.5%, a difference of 18.0%), 3 or more vehicles in household (22.3% compared to 19.6%, a difference of 13.8%), and 2 or more vehicles in household (58.5% compared to 55.0%, a difference of 6.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 88.8%, a difference of 0.49%), no vehicles in household (11.0% compared to 11.2%, a difference of 2.2%), and 2 or more vehicles in household (58.5% compared to 55.0%, a difference of 6.4%).
Pennsylvania German vs Peruvian Vehicle Availability
Vehicle Availability MetricPennsylvania GermanPeruvian
No Vehicles Available
Poor
11.0%
Tragic
11.2%
1+ Vehicles Available
Fair
89.3%
Tragic
88.8%
2+ Vehicles Available
Exceptional
58.5%
Fair
55.0%
3+ Vehicles Available
Exceptional
22.3%
Average
19.6%
4+ Vehicles Available
Exceptional
7.6%
Good
6.5%

Pennsylvania German vs Peruvian Education Level

When considering education level, the most significant differences between Pennsylvania German and Peruvian communities in the United States are seen in no schooling completed (1.5% compared to 2.4%, a difference of 61.1%), professional degree (3.0% compared to 4.5%, a difference of 51.6%), and master's degree (10.7% compared to 15.3%, a difference of 42.4%). Conversely, both communities are more comparable in terms of 9th grade (93.3% compared to 93.8%, a difference of 0.53%), 10th grade (91.9% compared to 92.6%, a difference of 0.76%), and high school diploma (87.0% compared to 87.8%, a difference of 0.93%).
Pennsylvania German vs Peruvian Education Level
Education Level MetricPennsylvania GermanPeruvian
No Schooling Completed
Exceptional
1.5%
Tragic
2.4%
Nursery School
Exceptional
98.6%
Tragic
97.6%
Kindergarten
Exceptional
98.6%
Tragic
97.6%
1st Grade
Exceptional
98.6%
Tragic
97.6%
2nd Grade
Exceptional
98.5%
Tragic
97.5%
3rd Grade
Exceptional
98.5%
Tragic
97.4%
4th Grade
Exceptional
98.4%
Tragic
97.1%
5th Grade
Exceptional
98.3%
Tragic
96.8%
6th Grade
Exceptional
98.1%
Tragic
96.4%
7th Grade
Exceptional
97.6%
Tragic
95.1%
8th Grade
Exceptional
97.3%
Tragic
94.7%
9th Grade
Tragic
93.3%
Tragic
93.8%
10th Grade
Tragic
91.9%
Tragic
92.6%
11th Grade
Tragic
90.3%
Tragic
91.5%
12th Grade, No Diploma
Tragic
88.7%
Tragic
90.2%
High School Diploma
Tragic
87.0%
Tragic
87.8%
GED/Equivalency
Tragic
82.9%
Tragic
84.7%
College, Under 1 year
Tragic
54.5%
Poor
64.1%
College, 1 year or more
Tragic
48.5%
Fair
58.6%
Associate's Degree
Tragic
37.2%
Average
46.4%
Bachelor's Degree
Tragic
28.4%
Good
38.3%
Master's Degree
Tragic
10.7%
Good
15.3%
Professional Degree
Tragic
3.0%
Good
4.5%
Doctorate Degree
Tragic
1.4%
Fair
1.8%

Pennsylvania German vs Peruvian Disability

When considering disability, the most significant differences between Pennsylvania German and Peruvian communities in the United States are seen in disability age under 5 (1.9% compared to 1.3%, a difference of 55.5%), hearing disability (3.7% compared to 2.7%, a difference of 36.8%), and disability age 18 to 34 (7.8% compared to 6.0%, a difference of 30.7%). Conversely, both communities are more comparable in terms of cognitive disability (16.6% compared to 16.7%, a difference of 0.57%), disability age over 75 (47.2% compared to 46.8%, a difference of 0.67%), and self-care disability (2.5% compared to 2.4%, a difference of 2.7%).
Pennsylvania German vs Peruvian Disability
Disability MetricPennsylvania GermanPeruvian
Disability
Tragic
13.2%
Exceptional
10.9%
Males
Tragic
13.0%
Exceptional
10.4%
Females
Tragic
13.4%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.9%
Fair
1.3%
Age | 5 to 17 years
Tragic
6.6%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
7.8%
Exceptional
6.0%
Age | 35 to 64 years
Tragic
12.8%
Exceptional
9.9%
Age | 65 to 74 years
Poor
24.0%
Exceptional
22.2%
Age | Over 75 years
Good
47.2%
Excellent
46.8%
Vision
Poor
2.2%
Exceptional
2.1%
Hearing
Tragic
3.7%
Exceptional
2.7%
Cognitive
Exceptional
16.6%
Exceptional
16.7%
Ambulatory
Tragic
6.8%
Exceptional
5.7%
Self-Care
Average
2.5%
Exceptional
2.4%